diff --git a/.gitignore b/.gitignore
index 6a063e066..d2e15ba16 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,19 +4,6 @@
 # general ignore
 *.pcu
 *.pdb
-*.csproj.user
-#TODO Что то старое. Там, кроме всего прочего, зачем то копия древней версии инсталята паскаля
-# - удалить
-!Grammars/Oberon10Independent (by Juliet)/**/*.pcu
-#TODO Тут тоже копия древних примеров, но зачем то ещё примеры на BrainFuck и PL/0
-# - удалить паскалевские примеры
-!ReleaseGenerators/Samples/_SVN/**/*.pcu
-#TODO NodesGenerator ещё используется?
-# - удалить pdb
-!Utils/NodesGeneratorNew/**/*.pdb
-#TODO Это папка с тем тестом ML. Стоит её хотя бы в отдельную ветку. А по хорошему отдельным репозиторием...
-# - убрать целиком
-!W/**/*.pdb
 
 # vs internal files
 **/.vs/*
@@ -35,7 +22,10 @@
 !/Utils/Old/NodesGeneratorOld0/bin/*
 !/YMC/bin/*
 
-#
+
+
+# local user files
+*.csproj.user
 /bin/CompilerController.ini
 
 
@@ -80,8 +70,6 @@
 **/PascalABCNET.exe.config
 **/PascalABCNETLinux.exe
 **/PascalABCNETLinux.exe.config
-#TODO
-!Grammars/Oberon10Independent (by Juliet)/**/*.dll
 
 
 
@@ -108,7 +96,7 @@
 /bin/WeifenLuo.WinFormsUI.Docking.ThemeVS2005.dll
 /bin/WeifenLuo.WinFormsUI.Docking.ThemeVS2005Linux.dll
 #TODO копируется только при сборке pabcnetc.sln - это норм?
-# - Этот проект, получается, подключён только к консольным компиляторам
+# - в самом проекте написано что его надо удалить...
 /bin/YieldConversionSyntax.dll
 
 # Debug-only intellisense problems
@@ -129,11 +117,6 @@
 
 
 
-#TODO Часть в индексе, часть нет
-# - все добавить в индекс
-/bin/**/*.xml
-!/bin/Lib/en/*.xml
-
 #TODO Метаданные .dll, наверное их забывает удалить после тестирования их генерации?
 /bin/mscorlib.txt
 /bin/System.Data.dll.txt
diff --git a/Grammars/Oberon10Independent (by Juliet)/DLL/Errors.dll b/Grammars/Oberon10Independent (by Juliet)/DLL/Errors.dll
deleted file mode 100644
index db0c63267..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/DLL/Errors.dll and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/DLL/Localization.dll b/Grammars/Oberon10Independent (by Juliet)/DLL/Localization.dll
deleted file mode 100644
index b28c18a7b..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/DLL/Localization.dll and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/DLL/ParserTools.dll b/Grammars/Oberon10Independent (by Juliet)/DLL/ParserTools.dll
deleted file mode 100644
index a5453bb7c..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/DLL/ParserTools.dll and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/DLL/SyntaxTree.dll b/Grammars/Oberon10Independent (by Juliet)/DLL/SyntaxTree.dll
deleted file mode 100644
index 070d4ca13..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/DLL/SyntaxTree.dll and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/Doc/gplex.pdf b/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/Doc/gplex.pdf
deleted file mode 100644
index eb78e64c5..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/Doc/gplex.pdf	
+++ /dev/null
@@ -1,12228 +0,0 @@
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-trailer
-<<
-/Size 870
-/Root 868 0 R
-/Info 869 0 R
-/ID [<72D7838B14B6618DC37BE082EA2234A6> <72D7838B14B6618DC37BE082EA2234A6>]
->>
-startxref
-247932
-%%EOF
diff --git a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/Gplex.exe b/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/Gplex.exe
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diff --git a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/QUT.ShiftReduceParser.dll b/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/QUT.ShiftReduceParser.dll
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diff --git a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/ShiftReduceParser.dll b/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/ShiftReduceParser.dll
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diff --git a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/gplexx.frame b/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/gplexx.frame
deleted file mode 100644
index b2a2affcf..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/gplexx.frame	
+++ /dev/null
@@ -1,623 +0,0 @@
-//
-// Experimental embedded frame
-// Version 1.1.3 of 18-April-2010
-//
-## Derived from gplex.frame version of 2-September-2006.
-## Code page support for files without a BOM. 
-## Left and Right Anchored state support.
-## Start condition stack. Two generic params.
-## Using fixed length context handling for right anchors
-//
-##-->defines
-
-using System;
-using System.IO;
-using System.Text;
-using System.Globalization;
-using System.Collections.Generic;
-using System.Runtime.Serialization;
-using System.Diagnostics.CodeAnalysis;
-
-##-->version290
-##-->usingDcl
-{   
-    /// <summary>
-    /// Summary Canonical example of GPLEX automaton
-    /// </summary>
-    
-#if STANDALONE
-    //
-    // These are the dummy declarations for stand-alone GPLEX applications
-    // normally these declarations would come from the parser.
-    // If you declare /noparser, or %option noparser then you get this.
-    //
-
-##-->translate $public enum $Tokens
-    { 
-      EOF = 0, maxParseToken = int.MaxValue 
-      // must have at least these two, values are almost arbitrary
-    }
-
-##-->translate $public abstract class $ScanBase
-    {
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylex")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylex")]
-        public abstract int yylex();
-
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yywrap")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yywrap")]
-        protected virtual bool yywrap() { return true; }
-
-#if BABEL
-        protected abstract int CurrentSc { get; set; }
-        // EolState is the 32-bit of state data persisted at 
-        // the end of each line for Visual Studio colorization.  
-        // The default is to return CurrentSc.  You must override
-        // this if you want more complicated behavior.
-        public virtual int EolState { 
-            get { return CurrentSc; }
-            set { CurrentSc = value; } 
-        }
-    }
-    
-##-->translate $public interface IColorScan
-    {
-        void SetSource(string source, int offset);
-        int GetNext(ref int state, out int start, out int end);
-#endif // BABEL
-    }
-
-#endif // STANDALONE
-    
-    // If the compiler can't find the scanner base class maybe you
-    // need to run GPPG with the /gplex option, or GPLEX with /noparser
-#if BABEL
-##-->translate $public sealed partial class $Scanner : $ScanBase, IColorScan
-    {
-        private ScanBuff buffer;
-        int currentScOrd;  // start condition ordinal
-        
-        protected override int CurrentSc 
-        {
-             // The current start state is a property
-             // to try to avoid the user error of setting
-             // scState but forgetting to update the FSA
-             // start state "currentStart"
-             //
-             get { return currentScOrd; }  // i.e. return YY_START;
-             set { currentScOrd = value;   // i.e. BEGIN(value);
-                   currentStart = startState[value]; }
-        }
-#else  // BABEL
-##-->translate $public sealed partial class $Scanner : $ScanBase
-    {
-        private ScanBuff buffer;
-        int currentScOrd;  // start condition ordinal
-#endif // BABEL
-        
-        /// <summary>
-        /// The input buffer for this scanner.
-        /// </summary>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public ScanBuff Buffer { get { return buffer; } }
-        
-        private static int GetMaxParseToken() {
-##-->translate System.Reflection.FieldInfo f = typeof($Tokens).GetField("maxParseToken");
-            return (f == null ? int.MaxValue : (int)f.GetValue(null));
-        }
-        
-        static int parserMax = GetMaxParseToken();
-        
-        enum Result {accept, noMatch, contextFound};
-
-##-->consts
-
-#region user code
-##-->codeIncl
-#endregion user code
-
-        int state;
-        int currentStart = startState[0];
-        int code;      // last code read
-        int cCol;      // column number of code
-        int lNum;      // current line number
-        //
-        // The following instance variables are used, among other
-        // things, for constructing the yylloc location objects.
-        //
-        int tokPos;        // buffer position at start of token
-        int tokCol;        // zero-based column number at start of token
-        int tokLin;        // line number at start of token
-        int tokEPos;       // buffer position at end of token
-        int tokECol;       // column number at end of token
-        int tokELin;       // line number at end of token
-        string tokTxt;     // lazily constructed text of token
-#if STACK          
-        private Stack<int> scStack = new Stack<int>();
-#endif // STACK
-
-##-->tableDef
-
-
-#if BACKUP
-        // ==============================================================
-        // == Nested struct used for backup in automata that do backup ==
-        // ==============================================================
-
-        struct Context // class used for automaton backup.
-        {
-            public int bPos;
-            public int rPos; // scanner.readPos saved value
-            public int cCol;
-            public int lNum; // Need this in case of backup over EOL.
-            public int state;
-            public int cChr;
-        }
-        
-        private Context ctx = new Context();
-#endif // BACKUP
-
-        // ==============================================================
-        // ==== Nested struct to support input switching in scanners ====
-        // ==============================================================
-
-		struct BufferContext {
-            internal ScanBuff buffSv;
-			internal int chrSv;
-			internal int cColSv;
-			internal int lNumSv;
-		}
-
-        // ==============================================================
-        // ===== Private methods to save and restore buffer contexts ====
-        // ==============================================================
-
-        /// <summary>
-        /// This method creates a buffer context record from
-        /// the current buffer object, together with some
-        /// scanner state values. 
-        /// </summary>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        BufferContext MkBuffCtx()
-		{
-			BufferContext rslt;
-			rslt.buffSv = this.buffer;
-			rslt.chrSv = this.code;
-			rslt.cColSv = this.cCol;
-			rslt.lNumSv = this.lNum;
-			return rslt;
-		}
-
-        /// <summary>
-        /// This method restores the buffer value and allied
-        /// scanner state from the given context record value.
-        /// </summary>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        void RestoreBuffCtx(BufferContext value)
-		{
-			this.buffer = value.buffSv;
-			this.code = value.chrSv;
-			this.cCol = value.cColSv;
-			this.lNum = value.lNumSv;
-        } 
-        // =================== End Nested classes =======================
-
-#if !NOFILES
-##-->translate $public $Scanner(Stream file) {
-##-->bufferCtor
-        }
-        
-#endif // !NOFILES
-
-##-->translate $public $Scanner() { }
-
-        private int readPos;
-
-        void GetCode()
-        {
-            if (code == '\n')  // This needs to be fixed for other conventions
-                               // i.e. [\r\n\205\u2028\u2029]
-            { 
-                cCol = -1;
-                lNum++;
-            }
-            readPos = buffer.Pos;
-
-            // Now read new codepoint.
-            code = buffer.Read();
-            if (code > ScanBuff.EndOfFile)
-            {
-#if (!BYTEMODE)
-                if (code >= 0xD800 && code <= 0xDBFF)
-                {
-                    int next = buffer.Read();
-                    if (next < 0xDC00 || next > 0xDFFF)
-                        code = ScanBuff.UnicodeReplacementChar;
-                    else
-                        code = (0x10000 + (code & 0x3FF << 10) + (next & 0x3FF));
-                }
-#endif
-                cCol++;
-            }
-        }
-
-        void MarkToken()
-        {
-#if (!PERSIST)
-            buffer.Mark();
-#endif
-            tokPos = readPos;
-            tokLin = lNum;
-            tokCol = cCol;
-        }
-        
-        void MarkEnd()
-        {
-            tokTxt = null;
-            tokEPos = readPos;
-            tokELin = lNum;
-            tokECol = cCol;
-        }
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int Peek()
-        {
-            int rslt, codeSv = code, cColSv = cCol, lNumSv = lNum, bPosSv = buffer.Pos;
-            GetCode(); rslt = code;
-            lNum = lNumSv; cCol = cColSv; code = codeSv; buffer.Pos = bPosSv;
-            return rslt;
-        }
-
-        // ==============================================================
-        // =====    Initialization of string-based input buffers     ====
-        // ==============================================================
-
-        /// <summary>
-        /// Create and initialize a StringBuff buffer object for this scanner
-        /// </summary>
-        /// <param name="source">the input string</param>
-        /// <param name="offset">starting offset in the string</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(string source, int offset)
-        {
-            this.buffer = ScanBuff.GetBuffer(source);
-            this.buffer.Pos = offset;
-            this.lNum = 0;
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            GetCode();
-        }
-
-#if !NOFILES        
-        // ================ LineBuffer Initialization ===================
-
-        /// <summary>
-        /// Create and initialize a LineBuff buffer object for this scanner
-        /// </summary>
-        /// <param name="source">the list of input strings</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(IList<string> source)
-        {
-            this.buffer = ScanBuff.GetBuffer(source);
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            this.lNum = 0;
-            GetCode();
-        }
-
-        // =============== StreamBuffer Initialization ==================
-
-        /// <summary>
-        /// Create and initialize a StreamBuff buffer object for this scanner.
-        /// StreamBuff is buffer for 8-bit byte files.
-        /// </summary>
-        /// <param name="source">the input byte stream</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(Stream source)
-        {
-            this.buffer = ScanBuff.GetBuffer(source);
-            this.lNum = 0;
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            GetCode();
-        }
-        
-#if !BYTEMODE
-        // ================ TextBuffer Initialization ===================
-
-        /// <summary>
-        /// Create and initialize a TextBuff buffer object for this scanner.
-        /// TextBuff is a buffer for encoded unicode files.
-        /// </summary>
-        /// <param name="source">the input text file</param>
-        /// <param name="fallbackCodePage">Code page to use if file has
-        /// no BOM. For 0, use machine default; for -1, 8-bit binary</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(Stream source, int fallbackCodePage)
-        {
-            this.buffer = ScanBuff.GetBuffer(source, fallbackCodePage);
-            this.lNum = 0;
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            GetCode();
-        }
-#endif // !BYTEMODE
-#endif // !NOFILES
-        
-        // ==============================================================
-
-#if BABEL
-        //
-        //  Get the next token for Visual Studio
-        //
-        //  "state" is the inout mode variable that maintains scanner
-        //  state between calls, using the EolState property. In principle,
-        //  if the calls of EolState are costly set could be called once
-        //  only per line, at the start; and get called only at the end
-        //  of the line. This needs more infrastructure ...
-        //
-        public int GetNext(ref int state, out int start, out int end)
-        {
-##-->translate            $Tokens next;
-            int s, e;
-            s = state;        // state at start
-            EolState = state;
-##-->translate            next = ($Tokens)Scan();
-            state = EolState;
-            e = state;       // state at end;
-            start = tokPos;
-            end = tokEPos - 1; // end is the index of last char.
-            return (int)next;
-        }        
-#endif // BABEL
-
-        // ======== AbstractScanner<> Implementation =========
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylex")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylex")]
-        public override int yylex()
-        {
-            // parserMax is set by reflecting on the Tokens
-            // enumeration.  If maxParseToken is defined
-            // that is used, otherwise int.MaxValue is used.
-            int next;
-            do { next = Scan(); } while (next >= parserMax);
-            return next;
-        }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int yypos { get { return tokPos; } }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int yyline { get { return tokLin; } }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int yycol { get { return tokCol; } }
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yytext")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yytext")]
-        public string yytext
-        {
-            get 
-            {
-                if (tokTxt == null) 
-                    tokTxt = buffer.GetString(tokPos, tokEPos);
-                return tokTxt;
-            }
-        }
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        void yyless(int n)
-        {
-            buffer.Pos = tokPos;
-            // Must read at least one char, so set before start.
-            cCol = tokCol - 1; 
-            GetCode();
-            // Now ensure that line counting is correct.
-            lNum = tokLin;
-            // And count the rest of the text.
-            for (int i = 0; i < n; i++) GetCode();
-            MarkEnd();
-        }
-       
-        //
-        //  It would be nice to count backward in the text
-        //  but it does not seem possible to re-establish
-        //  the correct column counts except by going forward.
-        //
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        void _yytrunc(int n) { yyless(yyleng - n); }
-        
-        //
-        // This is painful, but we no longer count
-        // codepoints.  For the overwhelming majority 
-        // of cases the single line code is fast, for
-        // the others, well, at least it is all in the
-        // buffer so no files are touched. Note that we
-        // can't use (tokEPos - tokPos) because of the
-        // possibility of surrogate pairs in the token.
-        //
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yyleng")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yyleng")]
-        public int yyleng
-        {
-            get {
-#if BYTEMODE
-                return tokEPos - tokPos;
-#else   
-                if (tokELin == tokLin)
-                    return tokECol - tokCol;
-                else {
-                    int ch;
-                    int count = 0;
-                    int save = buffer.Pos;
-                    buffer.Pos = tokPos;
-                    do {
-                        ch = buffer.Read();
-                        if (!char.IsHighSurrogate((char)ch)) count++;
-                    } while (buffer.Pos < tokEPos && ch != ScanBuff.EndOfFile);
-                    buffer.Pos = save; 
-                    return count;
-                }
-#endif // BYTEMODE
-            }
-        }
-        
-        // ============ methods available in actions ==============
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal int YY_START {
-            get { return currentScOrd; }
-            set { currentScOrd = value; 
-                  currentStart = startState[value]; 
-            } 
-        }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal void BEGIN(int next) {
-            currentScOrd = next;
-            currentStart = startState[next];
-        }
-
-        // ============== The main tokenizer code =================
-
-        int Scan()
-        {
-##-->prolog 
-                for (; ; )
-                {
-                    int next;              // next state to enter                   
-#if BACKUP
-                    Result rslt = Result.noMatch;
-#endif // BACKUP
-#if LEFTANCHORS
-                    for (;;)
-                    {
-                        // Discard characters that do not start any pattern.
-                        // Must check the left anchor condition after *every* GetCode!
-                        state = ((cCol == 0) ? anchorState[currentScOrd] : currentStart);
-                        if ((next = NextState()) != goStart) 
-                            break; // LOOP EXIT HERE...
-                        GetCode();
-                    }
-                    
-#else // !LEFTANCHORS
-                    state = currentStart;
-                    while ((next = NextState()) == goStart)
-                        // At this point, the current character has no
-                        // transition from the current state.  We discard 
-                        // the "no-match" char.   In traditional LEX such 
-                        // characters are echoed to the console.
-                        GetCode();
-#endif // LEFTANCHORS                    
-                    // At last, a valid transition ...    
-                    MarkToken();
-                    state = next;
-                    GetCode();
-                    
-                    while ((next = NextState()) > eofNum) // Exit for goStart AND for eofNum
-#if BACKUP
-                        if (state <= maxAccept && next > maxAccept) // need to prepare backup data
-                        {
-                            // ctx is an object. The fields may be 
-                            // mutated by the call to Recurse2.
-                            // On return the data in ctx is the
-                            // *latest* accept state that was found.
-                            
-                            rslt = Recurse2(ref ctx, next);
-                            if (rslt == Result.noMatch) 
-                                RestoreStateAndPos(ref ctx);
-                            break;
-                        }
-                        else
-#endif // BACKUP
-                        {
-                            state = next;
-                            GetCode();
-                        }
-                    if (state <= maxAccept) 
-                    {
-                        MarkEnd();
-##-->actionCases
-                    }
-                }
-##-->epilog
-        }
-
-#if BACKUP
-        Result Recurse2(ref Context ctx, int next)
-        {
-            // Assert: at entry "state" is an accept state AND
-            //         NextState(state, code) != goStart AND
-            //         NextState(state, code) is not an accept state.
-            //
-            SaveStateAndPos(ref ctx);
-            state = next;
-            GetCode();
-
-            while ((next = NextState()) > eofNum)
-            {
-                if (state <= maxAccept && next > maxAccept) // need to update backup data
-                    SaveStateAndPos(ref ctx);
-                state = next;
-                if (state == eofNum) return Result.accept;
-                GetCode(); 
-            }
-            return (state <= maxAccept ? Result.accept : Result.noMatch);
-        }
-
-        void SaveStateAndPos(ref Context ctx)
-        {
-            ctx.bPos  = buffer.Pos;
-            ctx.rPos  = readPos;
-            ctx.cCol  = cCol;
-            ctx.lNum  = lNum;
-            ctx.state = state;
-            ctx.cChr  = code;
-        }
-
-        void RestoreStateAndPos(ref Context ctx)
-        {
-            buffer.Pos = ctx.bPos;
-            readPos = ctx.rPos;
-            cCol  = ctx.cCol;
-            lNum  = ctx.lNum;
-            state = ctx.state;
-            code  = ctx.cChr;
-        }
-
-#endif // BACKUP
-
-        // ============= End of the tokenizer code ================
-
-#if STACK        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal void yy_clear_stack() { scStack.Clear(); }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal int yy_top_state() { return scStack.Peek(); }
-        
-        internal void yy_push_state(int state)
-        {
-            scStack.Push(currentScOrd);
-            BEGIN(state);
-        }
-        
-        internal void yy_pop_state()
-        {
-            // Protect against input errors that pop too far ...
-            if (scStack.Count > 0) {
-				int newSc = scStack.Pop();
-				BEGIN(newSc);
-            } // Otherwise leave stack unchanged.
-        }
- #endif // STACK
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal void ECHO() { Console.Out.Write(yytext); }
-        
-##-->userCode
-    } // end class $Scanner
-
-##-->embeddedBuffers
-
-} // end namespace
diff --git a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/guesser.frame b/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/guesser.frame
deleted file mode 100644
index 8d0574d4d..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/GPLex_GPPG/guesser.frame	
+++ /dev/null
@@ -1,77 +0,0 @@
-##
-## DO NOT EDIT THIS FILE CARELESSLY!
-## THE CONTENTS OF THIS FILE ARE STRONGLY LINKED TO THE
-## CODE OF Dfsa.cs, AND ALL MUST VARY TOGETHER
-##
-## This frame file produces an include file for gplex
-## C# output. It does not produce a stand-alone scanner
-## and uses not defined symbols, or "using" declarations.
-## This only works for automata with no backup states!
-##
-//
-// Guesser.frame version 1.1.0 of 30-January-2009
-//
-
-##-->version255
-##-->usingDcl
-{   
-    public enum Tokens { EndToken = 0, MaxParseToken = int.MaxValue }
-        
-    public class Scanner
-    {
-        ScanBuff buffer;
-        
-        enum Result {accept, noMatch, contextFound};
-        
-        bool yywrap() { return true; }
-        
-        public int GuessCodePage() { return Scan(); }
-
-##-->consts
-
-#region user code
-##-->codeIncl
-#endregion user code
-
-        int state;
-        int currentStart = startState[0];
-        int code;
-        
-##-->tableDef
-
-        public Scanner(System.IO.Stream file) { SetSource(file); }
-
-        public void SetSource(System.IO.Stream source)
-        {
-            this.buffer = new BuildBuffer(source);
-            code = buffer.Read();
-        }
-
-        int Scan()
-        {
-##-->prolog 
-                for (; ; )
-                {
-                    int next;                   
-                    state = currentStart;
-                    while ((next = NextState()) == goStart)
-                        code = buffer.Read();
-    
-                    state = next;
-                    code = buffer.Read();
-                    
-                    while ((next = NextState()) > eofNum)
-                    {
-                        state = next;
-                        code = buffer.Read();
-                    }
-                    if (state <= maxAccept) 
-                    {
-##-->actionCases
-                    }
-                }
-##-->epilog
-        }        
-##-->userCode
-    } // end class Scanner
-} // end namespace
diff --git a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Highlighting/Oberon00.xshd b/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Highlighting/Oberon00.xshd
deleted file mode 100644
index 8ab7dde91..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Highlighting/Oberon00.xshd	
+++ /dev/null
@@ -1,112 +0,0 @@
-<?xml version="1.0"?>
-<!-- syntaxdefinition for Oberon00ABC (c) Mikst, Juliet 2010 -->
-
-<SyntaxDefinition name = "Oberon00ABC" extensions = ".obr">
-	
-	<Properties>
-		<Property name="LineComment" value="//"/>
-	</Properties>
-	
-	<Digits name = "Digits" bold = "false" italic = "false" color = "DarkGreen"/>
-
-	<RuleSets>
-		<RuleSet ignorecase="false">
-			<Delimiters>&amp;&lt;&gt;~!%^*()-+=|\#/{}[]:;"' ,	.?</Delimiters>
-		
-		  	<Span name = "LineComment" rule = "CommentMarkerSet" bold = "false" italic = "false" color = "Green" stopateol = "true">
-			   	<Begin>//@!/@</Begin>
-		  	</Span>
-			         
-			<Span name = "BlockComment" rule = "CommentMarkerSet" bold = "false" italic = "false" color = "Green" stopateol = "false">
-				<Begin>(*</Begin>
-				<End>*)</End>
-			</Span>
-
-		  	<Span name = "BlockComment2" rule = "CommentMarkerSet" bold = "false" italic = "false" color = "Green" stopateol = "false">
-				<Begin>/*</Begin>
-				<End>*/</End>
-			</Span>
-			
-			<Span name = "String1" bold = "false" italic = "false" color = "Maroon" stopateol = "true">
-				<Begin>'</Begin>
-				<End>'</End>
-			</Span>
-			<Span name = "String2" bold = "false" italic = "false" color = "Maroon" stopateol = "true">
-				<Begin>"</Begin>
-				<End>"</End>
-			</Span>
-		  	
-	<KeyWords name = "KeyWords" bold = "true" italic = "false" color = "Black">
-		<Key word = "CONST" />
-		<Key word = "IF" />	
-		<Key word = "FOR" />	
-		<Key word = "TO" />	
-		<Key word = "THEN" />	
-		<Key word = "ELSE" />	
-		<Key word = "OR" />	
-		<Key word = "VAR" />	
-		<Key word = "WHILE" />	
-		<Key word = "BEGIN" />	
-		<Key word = "END" />
-		<Key word = "TYPE" />	
-		<Key word = "MODULE" />	
-		<Key word = "DO" />
-		<Key word = "PROCEDURE" />
-		<Key word = "DIV" />
-		<Key word = "MOD" />
-	 </KeyWords> 
-
-	<KeyWords name = "TypesAndTypedeal" bold = "false" italic = "false" color = "Blue">
-		<Key word = "TRUE" />	
-		<Key word = "FALSE" />		
-		<Key word = "BOOLEAN" />	
-		<Key word = "SHORTINT" />
-		<Key word = "INTEGER" />
-		<Key word = "LONGINT" />
-		<Key word = "REAL" />
-		<Key word = "LONGREAL" />
-		<Key word = "CHAR" />
-		<Key word = "SET" />	
-	</KeyWords>
-
-	<KeyWords name = "StandartMethods" bold = "false" italic = "false" color = "DarkGreen">
-		<Key word = "ODD" />	
-			
-	</KeyWords> 
-
-     	<KeyWords name = "Punctuation" bold = "false" italic = "false" color = "Black">
-        	<Key word = ":=" />
-        	<Key word = "," />
-		<Key word = "." />
-		<Key word = ";" />
-		<Key word = "(" />
-		<Key word = ")" />
-		<Key word = "+" />
-        	<Key word = "-" />
-		<Key word = "/" />
-		<Key word = "*" />
-		<Key word = "&lt;" />
-		<Key word = "&gt;" />
-		<Key word = "&lt;=" />
-		<Key word = "&gt;=" />
-		<Key word = "~" />
-		<Key word = "#" />
-		<Key word = "=" />
-	</KeyWords>
-		  
-	</RuleSet>
-		
-	<RuleSet name = "CommentMarkerSet" ignorecase = "true">
-		<Delimiters>&lt;&gt;~!@%^*()-+=|\#/{}[]:;"' ,	.?</Delimiters>
-		<KeyWords name = "ErrorWords" bold="true" italic="false" color="Red">
-			<Key word = "TODO" />
-			<Key word = "FIXME" />
-	  	</KeyWords>
-		<KeyWords name = "WarningWords" bold="true" italic="false" color="#EEE0E000">
-			<Key word = "HACK" />
-			<Key word = "UNDONE" />
-	  	</KeyWords>
-	</RuleSet>
-
-	</RuleSets>
-</SyntaxDefinition>
diff --git a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Lib/Oberon00System.pcu b/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Lib/Oberon00System.pcu
deleted file mode 100644
index 727fe2213..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Lib/Oberon00System.pcu and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/LibSource/Oberon00System.pas b/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/LibSource/Oberon00System.pas
deleted file mode 100644
index 90db0e939..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/LibSource/Oberon00System.pas	
+++ /dev/null
@@ -1,58 +0,0 @@
-// (c) Mikst, Juliet 2010
-/// Системный модуль для языка Oberon
-unit Oberon00System;
-
-interface
-
-type
-  /// Логический тип (TRUE | FALSE)
-  BOOLEAN = System.boolean;
-  /// Целое число
-  INTEGER = System.Int32;
-  /// Короткое целое число
-  SHORTINT = System.byte;
-  /// Длинное целое число
-  LONGINT = System.int64;
-  /// Вещественное число
-  REAL = System.double;
-  /// Длинное вещественное число
-  LONGREAL = System.double;
-  /// Символ
-  CHAR = System.char;
-  /// Строка
-  STRING = System.string;
-  /// Множество целых
-  iset = array of integer;
-
-procedure Print(o: object);
-procedure Println(o: object);
-procedure Println(o1,o2: integer);
-procedure Println;
-
-implementation
-
-uses System; 
-
-procedure Print(o: object);
-begin
-  Console.Write(o);
-end;
-
-/// Вывести значение
-procedure Println(o: object);
-begin
-  Console.WriteLine(o);
-end;
-
-procedure Println(o1,o2: integer);
-begin
-  Print(o1);
-  Println(o2);
-end;
-
-procedure Println;
-begin
-  Console.WriteLine;
-end;
- 
-end.
\ No newline at end of file
diff --git a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/LibSource/Oberon00System.pcu b/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/LibSource/Oberon00System.pcu
deleted file mode 100644
index 4cd97f4d7..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/LibSource/Oberon00System.pcu and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Oberon00Parser.dll b/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Oberon00Parser.dll
deleted file mode 100644
index 39673f211..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/Install/PascalABC.NET/Oberon00Parser.dll and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/Oberon00ParserTools.cs b/Grammars/Oberon10Independent (by Juliet)/Oberon00ParserTools.cs
deleted file mode 100644
index 3f7ef8589..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/Oberon00ParserTools.cs	
+++ /dev/null
@@ -1,134 +0,0 @@
-using System.Collections.Generic;
-using PascalABCCompiler.SyntaxTree;
-using PascalABCCompiler.Errors;
-using QUT.Gppg;
-using GPPGParserScanner;
-
-namespace PascalABCCompiler.Oberon00Parser
-{
-    // Класс глобальных описаний и статических методов
-    // для использования различными подсистемами парсера и сканера
-    public static class PT // PT - parser tools
-    {
-        public static List<Error> Errors;
-        /// Последний прочтенный идентификатор
-        public static string LastIdentificator = "";
-        //public static int max_errors;
-        public static string CurrentFileName;
-        /// Словарь стандартных типов с соответствующими внутренними именами
-        public static Dictionary<string, string> standartTypes = new Dictionary<string, string>();
-
-        /// Статический конструктор
-        static PT() {
-            standartTypes.Add("BOOLEAN", "boolean");
-            standartTypes.Add("INTEGER", "integer");
-            standartTypes.Add("SHORTINT", "byte");
-            standartTypes.Add("LONGINT", "int64");
-            standartTypes.Add("REAL", "real");
-            standartTypes.Add("LONGREAL", "double");
-            standartTypes.Add("CHAR", "char");
-            standartTypes.Add("STRING", "string");
-        }
-
-        public static SourceContext ToSourceContext(LexLocation loc)
-        {
-            if (loc != null)
-                return new SourceContext(loc.StartLine, loc.StartColumn + 1, loc.EndLine, loc.EndColumn);
-            return null;
-        }
-
-        public static string CreateErrorString(params object[] args)
-        {
-            string[] ww = new string[args.Length - 1];
-            for (int i = 1; i < args.Length; i++)
-                ww[i - 1] = GetStrByTokenName((string)args[i]);
-            string w = string.Join(" или ", ww);
-            System.Collections.Generic.List<int> l = new List<int>();
-            
-            string got = (string)args[0];
-            if (got.Equals("ID"))
-                got = "'" + LastIdentificator + "'";
-            else
-                got = GetStrByTokenName(got);
-            return string.Format("Синтаксическая ошибка: встречено {0}, а ожидалось {1}", got, w);
-        }
-
-        public static void AddError(string message, LexLocation loc)
-        {
-            Errors.Add(new SyntaxError(message, CurrentFileName, ToSourceContext(loc), null));
-        }
-
-        /// Определяет содержимое строки по ее представлению в тексте программы
-        /// <param name="sourceStr">Строка с кавычками</param>
-        /// <returns>Содержимое строки без кавычек</returns>
-        public static string GetStringContent(string sourceStr) {
-            bool hasStrType = (sourceStr.IndexOf('\'') != -1) ||
-                (sourceStr.IndexOf('"') != -1);
-            if (hasStrType)
-                return sourceStr.Substring(1, sourceStr.Length - 2);
-            else {      // символ представлен 16ным кодом
-                string hexCode = sourceStr.Remove(sourceStr.Length - 1);
-                int tryParseHex;
-                if (int.TryParse(hexCode, System.Globalization.NumberStyles.AllowHexSpecifier, null, out tryParseHex))
-                    return ((char)tryParseHex).ToString();
-                else
-                    throw new System.ArgumentException("Некорректный шестнадцатеричный код символа");
-            }
-        }
-
-        /// Преобразует вещественный литерал, принятый в Обероне, к виду .NET
-        /// <param name="sourceDoubleStr">Исходная строка вещественного числа</param>
-        /// <returns>Корректную строку - вещественное число</returns>
-        public static string GetCorrectDoubleStr(string sourceDoubleStr) {
-            string correct = sourceDoubleStr.Replace(".",
-                System.Globalization.NumberFormatInfo.CurrentInfo.NumberDecimalSeparator);
-            correct = correct.Replace('D', 'E');
-            return correct; 
-        }
-
-        /// Определяет внутреннее имя типа по типу в программе
-        /// <param name="typeName">Имя типа в программе</param>
-        /// <returns>Корректное внутреннее имя типа</returns>
-        public static string InternalTypeName(string typeName) {
-            if (standartTypes.ContainsKey(typeName))
-                return standartTypes[typeName];
-            else
-                return typeName;
-        }
-
-
-        // -----------------------------------------------------------------------------
-        // Вспомогательные методы
-        // -----------------------------------------------------------------------------
-        /// Возвращает по имени токена представляющую его строку
-        private static string GetStrByTokenName(string tokenName) {
-            switch (tokenName) {
-                case "ASSIGN": return "':='";
-                case "SEMICOLUMN": return "';'";
-                case "COLON": return "':'";
-                case "COMMA": return "'.'";
-                case "COLUMN": return "','";
-                case "LPAREN": return "'('";
-                case "RPAREN": return "')'";
-                case "PLUS": return "'+'";
-                case "MINUS": return "'-'";
-                case "MULT": return "'*'";
-                case "DIVIDE": return "'/'";
-                case "LT": return "'<'";
-                case "GT": return "'>'";
-                case "LE": return "'<='";
-                case "GE": return "'>='";
-                case "EQ": return "'='";
-                case "NE": return "'#'";
-                case "NOT": return "'~'";
-                case "AND": return "'&'";
-                case "EXCLAMATION": return "'!'";
-                case "ID":  return "идентификатор";
-                case "EOF": return "конец программы";
-                case "INTNUM": return "целое число";
-                case "ASTERISK": return "'*'";
-                default: return tokenName;
-            }
-        }
-    }
-}
\ No newline at end of file
diff --git a/Grammars/Oberon10Independent (by Juliet)/ObrProba.csproj b/Grammars/Oberon10Independent (by Juliet)/ObrProba.csproj
deleted file mode 100644
index 319218b26..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/ObrProba.csproj	
+++ /dev/null
@@ -1,91 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<Project ToolsVersion="4.0" DefaultTargets="Build" xmlns="http://schemas.microsoft.com/developer/msbuild/2003">
-  <PropertyGroup>
-    <Configuration Condition=" '$(Configuration)' == '' ">Debug</Configuration>
-    <Platform Condition=" '$(Platform)' == '' ">AnyCPU</Platform>
-    <ProductVersion>9.0.30729</ProductVersion>
-    <SchemaVersion>2.0</SchemaVersion>
-    <ProjectGuid>{D215937C-36EA-4E60-B3EB-A2527DE39D19}</ProjectGuid>
-    <OutputType>Library</OutputType>
-    <AppDesignerFolder>Properties</AppDesignerFolder>
-    <RootNamespace>Oberon00Parser</RootNamespace>
-    <AssemblyName>Oberon00Parser</AssemblyName>
-    <TargetFrameworkVersion>v4.0</TargetFrameworkVersion>
-    <FileAlignment>512</FileAlignment>
-    <StartupObject>
-    </StartupObject>
-    <FileUpgradeFlags>
-    </FileUpgradeFlags>
-    <UpgradeBackupLocation>
-    </UpgradeBackupLocation>
-    <OldToolsVersion>3.5</OldToolsVersion>
-    <TargetFrameworkProfile />
-  </PropertyGroup>
-  <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Debug|AnyCPU' ">
-    <DebugSymbols>true</DebugSymbols>
-    <DebugType>full</DebugType>
-    <Optimize>false</Optimize>
-    <OutputPath>bin\Debug\</OutputPath>
-    <DefineConstants>DEBUG;TRACE</DefineConstants>
-    <ErrorReport>prompt</ErrorReport>
-    <WarningLevel>4</WarningLevel>
-    <CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
-  </PropertyGroup>
-  <PropertyGroup Condition=" '$(Configuration)|$(Platform)' == 'Release|AnyCPU' ">
-    <DebugType>pdbonly</DebugType>
-    <Optimize>true</Optimize>
-    <OutputPath>bin\Release\</OutputPath>
-    <DefineConstants>TRACE</DefineConstants>
-    <ErrorReport>prompt</ErrorReport>
-    <WarningLevel>4</WarningLevel>
-    <CodeAnalysisRuleSet>AllRules.ruleset</CodeAnalysisRuleSet>
-  </PropertyGroup>
-  <ItemGroup>
-    <Reference Include="System" />
-    <Reference Include="System.Core">
-      <RequiredTargetFramework>3.5</RequiredTargetFramework>
-    </Reference>
-    <Reference Include="System.Xml.Linq">
-      <RequiredTargetFramework>3.5</RequiredTargetFramework>
-    </Reference>
-    <Reference Include="System.Data.DataSetExtensions">
-      <RequiredTargetFramework>3.5</RequiredTargetFramework>
-    </Reference>
-    <Reference Include="System.Data" />
-    <Reference Include="System.Xml" />
-  </ItemGroup>
-  <ItemGroup>
-    <Compile Include="oberon00.cs" />
-    <Compile Include="Oberon00ParserTools.cs" />
-    <Compile Include="oberon00yacc.cs" />
-    <Compile Include="Parser.cs" />
-    <Compile Include="Properties\AssemblyInfo.cs" />
-    <Compile Include="ShiftReduceParserCode.cs" />
-  </ItemGroup>
-  <ItemGroup>
-    <ProjectReference Include="..\..\Errors\Errors.csproj">
-      <Project>{44a01f9e-dce7-470c-aae5-c3de0ccbee3b}</Project>
-      <Name>Errors</Name>
-    </ProjectReference>
-    <ProjectReference Include="..\..\Localization\Localization.csproj">
-      <Project>{2de2842f-0912-4251-bc0f-480854c44a13}</Project>
-      <Name>Localization</Name>
-    </ProjectReference>
-    <ProjectReference Include="..\..\ParserTools\ParserTools.csproj">
-      <Project>{af2efd7b-69dd-4b43-af65-b59b29349c23}</Project>
-      <Name>ParserTools</Name>
-    </ProjectReference>
-    <ProjectReference Include="..\..\SyntaxTree\SyntaxTree.csproj">
-      <Project>{c2cac65a-b2ae-4ccc-b067-e6b8e75df73a}</Project>
-      <Name>SyntaxTree</Name>
-    </ProjectReference>
-  </ItemGroup>
-  <Import Project="$(MSBuildToolsPath)\Microsoft.CSharp.targets" />
-  <!-- To modify your build process, add your task inside one of the targets below and uncomment it. 
-       Other similar extension points exist, see Microsoft.Common.targets.
-  <Target Name="BeforeBuild">
-  </Target>
-  <Target Name="AfterBuild">
-  </Target>
-  -->
-</Project>
\ No newline at end of file
diff --git a/Grammars/Oberon10Independent (by Juliet)/ObrProba.sln b/Grammars/Oberon10Independent (by Juliet)/ObrProba.sln
deleted file mode 100644
index 032f303bd..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/ObrProba.sln	
+++ /dev/null
@@ -1,44 +0,0 @@
-
-Microsoft Visual Studio Solution File, Format Version 11.00
-# Visual Studio 2010
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "ObrProba", "ObrProba.csproj", "{D215937C-36EA-4E60-B3EB-A2527DE39D19}"
-EndProject
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Errors", "..\..\Errors\Errors.csproj", "{44A01F9E-DCE7-470C-AAE5-C3DE0CCBEE3B}"
-EndProject
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "ParserTools", "..\..\ParserTools\ParserTools.csproj", "{AF2EFD7B-69DD-4B43-AF65-B59B29349C23}"
-EndProject
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "Localization", "..\..\Localization\Localization.csproj", "{2DE2842F-0912-4251-BC0F-480854C44A13}"
-EndProject
-Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "SyntaxTree", "..\..\SyntaxTree\SyntaxTree.csproj", "{C2CAC65A-B2AE-4CCC-B067-E6B8E75DF73A}"
-EndProject
-Global
-	GlobalSection(SolutionConfigurationPlatforms) = preSolution
-		Debug|Any CPU = Debug|Any CPU
-		Release|Any CPU = Release|Any CPU
-	EndGlobalSection
-	GlobalSection(ProjectConfigurationPlatforms) = postSolution
-		{D215937C-36EA-4E60-B3EB-A2527DE39D19}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{D215937C-36EA-4E60-B3EB-A2527DE39D19}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{D215937C-36EA-4E60-B3EB-A2527DE39D19}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{D215937C-36EA-4E60-B3EB-A2527DE39D19}.Release|Any CPU.Build.0 = Release|Any CPU
-		{44A01F9E-DCE7-470C-AAE5-C3DE0CCBEE3B}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{44A01F9E-DCE7-470C-AAE5-C3DE0CCBEE3B}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{44A01F9E-DCE7-470C-AAE5-C3DE0CCBEE3B}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{44A01F9E-DCE7-470C-AAE5-C3DE0CCBEE3B}.Release|Any CPU.Build.0 = Release|Any CPU
-		{AF2EFD7B-69DD-4B43-AF65-B59B29349C23}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{AF2EFD7B-69DD-4B43-AF65-B59B29349C23}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{AF2EFD7B-69DD-4B43-AF65-B59B29349C23}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{AF2EFD7B-69DD-4B43-AF65-B59B29349C23}.Release|Any CPU.Build.0 = Release|Any CPU
-		{2DE2842F-0912-4251-BC0F-480854C44A13}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{2DE2842F-0912-4251-BC0F-480854C44A13}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{2DE2842F-0912-4251-BC0F-480854C44A13}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{2DE2842F-0912-4251-BC0F-480854C44A13}.Release|Any CPU.Build.0 = Release|Any CPU
-		{C2CAC65A-B2AE-4CCC-B067-E6B8E75DF73A}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
-		{C2CAC65A-B2AE-4CCC-B067-E6B8E75DF73A}.Debug|Any CPU.Build.0 = Debug|Any CPU
-		{C2CAC65A-B2AE-4CCC-B067-E6B8E75DF73A}.Release|Any CPU.ActiveCfg = Release|Any CPU
-		{C2CAC65A-B2AE-4CCC-B067-E6B8E75DF73A}.Release|Any CPU.Build.0 = Release|Any CPU
-	EndGlobalSection
-	GlobalSection(SolutionProperties) = preSolution
-		HideSolutionNode = FALSE
-	EndGlobalSection
-EndGlobal
diff --git a/Grammars/Oberon10Independent (by Juliet)/ObrProba.suo b/Grammars/Oberon10Independent (by Juliet)/ObrProba.suo
deleted file mode 100644
index 67fd81589..000000000
Binary files a/Grammars/Oberon10Independent (by Juliet)/ObrProba.suo and /dev/null differ
diff --git a/Grammars/Oberon10Independent (by Juliet)/Parser.cs b/Grammars/Oberon10Independent (by Juliet)/Parser.cs
deleted file mode 100644
index 9bf115aa9..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/Parser.cs	
+++ /dev/null
@@ -1,59 +0,0 @@
-using System;
-using System.IO;
-using System.Text;
-using System.Reflection;
-using PascalABCCompiler;
-using PascalABCCompiler.SyntaxTree;
-using PascalABCCompiler.Parsers;
-using PascalABCCompiler.Errors;
-using System.Collections.Generic;
-using GPPGParserScanner;
-
-namespace PascalABCCompiler.Oberon00Parser
-{
-    public class Oberon00LanguageParser : BaseParser
-    {        
-
-        public Oberon00LanguageParser()
-            : base("Oberon00", "0.1", "(c) Stanislav Mikhalkovich, 2010", true, new string[] { ".obr" })
-        {
-        }
-
-        public override syntax_tree_node BuildTreeInNormalMode(string FileName, string Text)
-        {            
-            PT.Errors = Errors;
-            PT.CurrentFileName = FileName;
-            
-            Scanner scanner = new Scanner();
-            scanner.SetSource(Text, 0);
-            
-            GPPGParser parser = new GPPGParser(scanner);
-                                   
-            if (!parser.Parse())
-                if (Errors.Count == 0)
-                    PT.AddError("Неопознанная синтаксическая ошибка!", null);
-
-            return parser.root;
-        }
-
-        public override syntax_tree_node BuildTreeInExprMode(string FileName, string Text)
-        {
-            PT.Errors = Errors;
-            PT.CurrentFileName = FileName;
-
-            Scanner scanner = new Scanner();
-
-            // Добавление в начало текста символа с кодом 1. Используется для парсинга выражений с последующим использованием в Intellisense 
-            Text = String.Concat((char)1, Text);
-            scanner.SetSource(Text, 0);
-
-            GPPGParser parser = new GPPGParser(scanner);
-
-            if (!parser.Parse())
-                if (Errors.Count == 0)
-                    PT.AddError("Не разобрали выражение", null);
-
-            return parser.root;
-        }
-    }
-}
diff --git a/Grammars/Oberon10Independent (by Juliet)/Properties/AssemblyInfo.cs b/Grammars/Oberon10Independent (by Juliet)/Properties/AssemblyInfo.cs
deleted file mode 100644
index b062f2d81..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/Properties/AssemblyInfo.cs	
+++ /dev/null
@@ -1,36 +0,0 @@
-using System.Reflection;
-using System.Runtime.CompilerServices;
-using System.Runtime.InteropServices;
-
-// General Information about an assembly is controlled through the following 
-// set of attributes. Change these attribute values to modify the information
-// associated with an assembly.
-[assembly: AssemblyTitle("ObrProba")]
-[assembly: AssemblyDescription("")]
-[assembly: AssemblyConfiguration("")]
-[assembly: AssemblyCompany("")]
-[assembly: AssemblyProduct("ObrProba")]
-[assembly: AssemblyCopyright("Copyright ©  2010")]
-[assembly: AssemblyTrademark("")]
-[assembly: AssemblyCulture("")]
-
-// Setting ComVisible to false makes the types in this assembly not visible 
-// to COM components.  If you need to access a type in this assembly from 
-// COM, set the ComVisible attribute to true on that type.
-[assembly: ComVisible(false)]
-
-// The following GUID is for the ID of the typelib if this project is exposed to COM
-[assembly: Guid("517903e0-51c4-49d1-bc84-2f833a408b60")]
-
-// Version information for an assembly consists of the following four values:
-//
-//      Major Version
-//      Minor Version 
-//      Build Number
-//      Revision
-//
-// You can specify all the values or you can default the Build and Revision Numbers 
-// by using the '*' as shown below:
-// [assembly: AssemblyVersion("1.0.*")]
-[assembly: AssemblyVersion("1.0.0.0")]
-[assembly: AssemblyFileVersion("1.0.0.0")]
diff --git a/Grammars/Oberon10Independent (by Juliet)/ShiftReduceParserCode.cs b/Grammars/Oberon10Independent (by Juliet)/ShiftReduceParserCode.cs
deleted file mode 100644
index e61263e95..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/ShiftReduceParserCode.cs	
+++ /dev/null
@@ -1,950 +0,0 @@
-// Gardens Point Parser Generator
-// Copyright (c) Wayne Kelly, QUT 2005-2009
-// (see accompanying GPPGcopyright.rtf)
-#define EXPORT_GPPG
-
-using System;
-using System.Text;
-using System.Globalization;
-using System.Collections.Generic;
-using System.Runtime.Serialization;
-using System.Diagnostics.CodeAnalysis;
-using PascalABCCompiler.SyntaxTree;
-
-namespace QUT.Gppg
-{
-    /// <summary>
-    /// Abstract class for GPPG shift-reduce parsers.
-    /// Parsers generated by GPPG derive from this base
-    /// class, overriding the abstract Initialize() and
-    /// DoAction() methods.
-    /// </summary>
-    /// <typeparam name="TValue">Semantic value type</typeparam>
-    /// <typeparam name="TSpan">Location type</typeparam>
-#if EXPORT_GPPG
-    public abstract class ShiftReduceParser<TValue, TSpan>
-#else
-    internal abstract class ShiftReduceParser<TValue, TSpan>
-#endif
- where TSpan : IMerge<TSpan>, new()
-    {
-        public AbstractScanner<TValue, TSpan> scanner;
-        /// <summary>
-        /// The abstract scanner for this parser.
-        /// </summary>
-        protected AbstractScanner<TValue, TSpan> Scanner {
-            get { return scanner; }
-            set { scanner = value; }
-        }
-
-        /// <summary>
-        /// Constructor for base class
-        /// </summary>
-        /// <param name="scanner">Scanner instance for this parser</param>
-        protected ShiftReduceParser(AbstractScanner<TValue, TSpan> scanner)
-        {
-            this.scanner = scanner;
-        }
-
-        // ==============================================================
-        //                    TECHNICAL EXPLANATION.
-        //   Why the next two fields are not exposed via properties.
-        // ==============================================================
-        // These fields are of the generic parameter types, and are
-        // frequently instantiated as struct types in derived classes.
-        // Semantic actions are defined in the derived classes and refer
-        // to instance fields of these structs.  Is such cases the code
-        // "get_CurrentSemanticValue().myField = blah;" will fail since
-        // the getter pushes the value of the field, not the reference.
-        // So, in the presence of properties, gppg would need to encode
-        // such field accesses as ... 
-        //  "tmp = get_CurrentSemanticValue(); // Fetch value
-        //   tmp.myField = blah;               // update
-        //   set_CurrentSemanticValue(tmp); "  // Write update back.
-        // There is no issue if TValue is restricted to be a ref type.
-        // The same explanation applies to scanner.yylval.
-        // ==============================================================
-        /// <summary>
-        /// The current value of the "$$" symbolic variable in the parser
-        /// </summary>
-        [SuppressMessage("Microsoft.Design", "CA1051:DoNotDeclareVisibleInstanceFields")]
-        protected TValue CurrentSemanticValue;
-
-        /// <summary>
-        /// The current value of the "@$" symbolic variable in the parser
-        /// </summary>
-        [SuppressMessage("Microsoft.Design", "CA1051:DoNotDeclareVisibleInstanceFields")]
-        protected TSpan CurrentLocationSpan;
-
-        private TSpan LastSpan;
-        private int NextToken;
-        private State FsaState;
-        private bool recovering;
-        private int tokensSinceLastError;
-
-        private PushdownPrefixState<State> StateStack = new PushdownPrefixState<State>();
-        private PushdownPrefixState<TValue> valueStack = new PushdownPrefixState<TValue>();
-        private PushdownPrefixState<TSpan> locationStack = new PushdownPrefixState<TSpan>();
-
-        /// <summary>
-        /// The stack of semantic value (YYSTYPE) values.
-        /// </summary>
-        protected PushdownPrefixState<TValue> ValueStack { get { return valueStack; } }
-
-        /// <summary>
-        /// The stack of location value (YYLTYPE) varlues.
-        /// </summary>
-        protected PushdownPrefixState<TSpan> LocationStack { get { return locationStack; } }
-
-        private int errorToken;
-        private int endOfFileToken;
-        private string[] nonTerminals;
-        private State[] states;
-        private Rule[] rules;
-
-        /// <summary>
-        /// Initialization method to allow derived classes
-        /// to insert the rule list into this base class.
-        /// </summary>
-        /// <param name="rules">The array of Rule objects</param>
-        protected void InitRules(Rule[] rules) { this.rules = rules; }
-
-      /// <summary>
-      /// Initialization method to allow derived classes to
-      /// insert the states table into this base class.
-      /// </summary>
-      /// <param name="states">The pre-initialized states table</param>
-        protected void InitStates(State[] states) { this.states = states; }
-
-      /// <summary>
-      /// OBSOLETE FOR VERSION 1.4.0
-      /// </summary>
-      /// <param name="size"></param>
-        protected void InitStateTable(int size) { states = new State[size]; }
-
-        /// <summary>
-        /// Initialization method to allow derived classes
-        /// to insert the special value for the error and EOF tokens.
-        /// </summary>
-        /// <param name="err">The error state ordinal</param>
-        /// <param name="end">The EOF stat ordinal</param>
-        protected void InitSpecialTokens(int err, int end)
-        {
-            errorToken = err;
-            endOfFileToken = end;
-        }
-
-        /// <summary>
-        /// Initialization method to allow derived classes to
-        /// insert the non-terminal symbol names into this base class.
-        /// </summary>
-        /// <param name="names">Non-terminal symbol names</param>
-        protected void InitNonTerminals(string[] names) { nonTerminals = names; }
-
-        #region YYAbort, YYAccept etcetera.
-        [Serializable]
-        [SuppressMessage("Microsoft.Design", "CA1064:ExceptionsShouldBePublic")]
-        // Reason for FxCop message suppression -
-        // This exception cannot escape from the local context
-        private class AcceptException : Exception
-        {
-            internal AcceptException() { }
-            protected AcceptException(SerializationInfo i, StreamingContext c) : base(i, c) { }
-        }
-        [Serializable]
-        [SuppressMessage("Microsoft.Design", "CA1064:ExceptionsShouldBePublic")]
-        // Reason for FxCop message suppression -
-        // This exception cannot escape from the local context
-        private class AbortException : Exception
-        {
-            internal AbortException() { }
-            protected AbortException(SerializationInfo i, StreamingContext c) : base(i, c) { }
-        }
-        [Serializable]
-        [SuppressMessage("Microsoft.Design", "CA1064:ExceptionsShouldBePublic")]
-        // Reason for FxCop message suppression -
-        // This exception cannot escape from the local context
-        private class ErrorException : Exception
-        {
-            internal ErrorException() { }
-            protected ErrorException(SerializationInfo i, StreamingContext c) : base(i, c) { }
-        }
-
-        // The following methods are only called from within
-        // a semantic action. The thrown exceptions can never
-        // propagate outside the ShiftReduceParser class in 
-        // which they are nested.
-
-        /// <summary>
-        /// Force parser to terminate, returning "true"
-        /// </summary>
-        protected static void YYAccept() { throw new AcceptException(); }
-
-        /// <summary>
-        /// Force parser to terminate, returning "false"
-        /// </summary>
-        protected static void YYAbort() { throw new AbortException(); }
-
-        /// <summary>
-        /// Force parser to terminate, returning
-        /// "false" if error recovery fails.
-        /// </summary>
-        protected static void YYError() { throw new ErrorException(); }
-
-        /// <summary>
-        /// Check if parser in error recovery state.
-        /// </summary>
-        protected bool YYRecovering { get { return recovering; } }
-        #endregion
-
-        /// <summary>
-        /// Abstract base method. ShiftReduceParser calls this
-        /// to initialize the base class data structures.  Concrete
-        /// parser classes must override this method.
-        /// </summary>
-        protected abstract void Initialize();
-
-        /// <summary>
-        /// Main entry point of the Shift-Reduce Parser.
-        /// </summary>
-        /// <returns>True if parse succeeds, else false for
-        /// unrecoverable errors</returns>
-        public bool Parse()
-        {
-            Initialize();	// allow derived classes to instantiate rules, states and nonTerminals
-
-            NextToken = 0;
-            FsaState = states[0];
-
-            StateStack.Push(FsaState);
-            valueStack.Push(CurrentSemanticValue);
-            LocationStack.Push(CurrentLocationSpan);
-
-            while (true)
-            {
-#if TRACE_ACTIONS
-                    Console.Error.WriteLine("Entering state {0} ", FsaState.number);
-#endif
-                int action = FsaState.defaultAction;
-
-                if (FsaState.ParserTable != null)
-                {
-                    if (NextToken == 0)
-                    {
-#if TRACE_ACTIONS
-                            Console.Error.Write("Reading a token: ");
-#endif
-                        // We save the last token span, so that the location span
-                        // of production right hand sides that begin or end with a
-                        // nullable production will be correct.
-                        LastSpan = scanner.yylloc;
-                        NextToken = scanner.yylex();
-                    }
-
-#if TRACE_ACTIONS
-                        Console.Error.WriteLine("Next token is {0}", TerminalToString(NextToken));
-#endif
-                    if (FsaState.ParserTable.ContainsKey(NextToken))
-                        action = FsaState.ParserTable[NextToken];
-                }
-
-                if (action > 0)         // shift
-                {
-                    Shift(action);
-                }
-                else if (action < 0)   // reduce
-                {
-                    try
-                    {
-                        Reduce(-action);
-                        if (action == -1)	// accept
-                            return true;
-                    }
-                    catch (Exception x)
-                    {
-                        if (x is AbortException)
-                            return false;
-                        else if (x is AcceptException)
-                            return true;
-                        else if (x is ErrorException && !ErrorRecovery())
-                            return false;
-                        else
-                            throw;  // Rethrow x, preserving information.
-
-                    }
-                }
-                else if (action == 0)   // error
-                    if (!ErrorRecovery())
-                        return false;
-            }
-        }
-
-        private void Shift(int stateIndex)
-        {
-#if TRACE_ACTIONS
-				Console.Error.Write("Shifting token {0}, ", TerminalToString(NextToken));
-#endif
-            FsaState = states[stateIndex];
-
-            valueStack.Push(scanner.yylval);
-            StateStack.Push(FsaState);
-            LocationStack.Push(scanner.yylloc);
-
-            if (recovering)
-            {
-                if (NextToken != errorToken)
-                    tokensSinceLastError++;
-
-                if (tokensSinceLastError > 5)
-                    recovering = false;
-            }
-
-            if (NextToken != endOfFileToken)
-                NextToken = 0;
-        }
-
-        private void Reduce(int ruleNumber)
-        {
-#if TRACE_ACTIONS
-				DisplayRule(ruleNumber);
-#endif
-            Rule rule = rules[ruleNumber];
-            //
-            //  Default actions for unit productions.
-            //
-            if (rule.RightHandSide.Length == 1)
-            {
-                CurrentSemanticValue = valueStack.TopElement();    // Default action: $$ = $1;
-                CurrentLocationSpan = LocationStack.TopElement(); // Default action "@$ = @1;
-            }
-            else
-            {
-                if (rule.RightHandSide.Length == 0)
-                {
-                    // Create a new blank value.
-                    // Explicit semantic action may mutate this value
-                    CurrentSemanticValue = default(TValue);
-                    // The location span for an empty production will start with the
-                    // beginning of the next lexeme, and end with the finish of the
-                    // previous lexeme.  This gives the correct behaviour when this
-                    // nonsense value is used in later Merge operations.
-                    CurrentLocationSpan = (scanner.yylloc != null && LastSpan != null ?
-                        scanner.yylloc.Merge(LastSpan) :
-                        default(TSpan));
-                }
-                else
-                {
-                    // Default action: $$ = $1;
-                    CurrentSemanticValue = valueStack.TopElement();
-                    //  Default action "@$ = @1.Merge(@N)" for location info.
-                    TSpan at1 = LocationStack[LocationStack.Depth - rule.RightHandSide.Length];
-                    TSpan atN = LocationStack[LocationStack.Depth - 1];
-                    CurrentLocationSpan = 
-                        ((at1 != null && atN != null) ? at1.Merge(atN) : default(TSpan));
-                }
-            }
-
-            DoAction(ruleNumber);
-
-            for (int i = 0; i < rule.RightHandSide.Length; i++)
-            {
-                StateStack.Pop();
-                valueStack.Pop();
-                LocationStack.Pop();
-            }
-
-#if TRACE_ACTIONS
-				DisplayStack();
-#endif
-            FsaState = StateStack.TopElement();
-
-            if (FsaState.Goto.ContainsKey(rule.LeftHandSide))
-                FsaState = states[FsaState.Goto[rule.LeftHandSide]];
-
-            StateStack.Push(FsaState);
-            valueStack.Push(CurrentSemanticValue);
-            LocationStack.Push(CurrentLocationSpan);
-        }
-
-        /// <summary>
-        /// Execute the selected action from array.
-        /// Must be overriden in derived classes.
-        /// </summary>
-        /// <param name="actionNumber">Index of the action to perform</param>
-        protected abstract void DoAction(int actionNumber);
-
-        private bool ErrorRecovery()
-        {
-            bool discard;
-
-            if (!recovering) // if not recovering from previous error
-                ReportError();
-
-            if (!FindErrorRecoveryState())
-                return false;
-            //
-            //  The interim fix for the "looping in error recovery"
-            //  artifact involved moving the setting of the recovering 
-            //  bool until after invalid tokens have been discarded.
-            //
-            ShiftErrorToken();
-            discard = DiscardInvalidTokens();
-            recovering = true;
-            tokensSinceLastError = 0;
-            return discard;
-        }
-
-        private void ReportError1()
-        {
-            StringBuilder errorMsg = new StringBuilder();
-            errorMsg.AppendFormat("Syntax error, unexpected {0}", TerminalToString(NextToken));
-
-            if (FsaState.ParserTable.Count < 7)
-            {
-                bool first = true;
-                foreach (int terminal in FsaState.ParserTable.Keys)
-                {
-                    if (first)
-                        errorMsg.Append(", expecting ");
-                    else
-                        errorMsg.Append(", or ");
-
-                    errorMsg.Append(TerminalToString(terminal));
-                    first = false;
-                }
-            }
-            scanner.yyerror(errorMsg.ToString());
-        }
-
-        private void ReportError()
-        {
-            object[] args = new object[FsaState.ParserTable.Keys.Count+1];
-            args[0] = TerminalToString(NextToken);
-            int i=1;
-            foreach (int terminal in FsaState.ParserTable.Keys)
-            {
-                args[i] = TerminalToString(terminal);
-                i++;
-            }
-            scanner.yyerror("",args);
-        }
-
-        private void ShiftErrorToken()
-        {
-            int old_next = NextToken;
-            NextToken = errorToken;
-
-            Shift(FsaState.ParserTable[NextToken]);
-
-#if TRACE_ACTIONS
-				Console.Error.WriteLine("Entering state {0} ", FsaState.number);
-#endif
-            NextToken = old_next;
-        }
-
-        private bool FindErrorRecoveryState()
-        {
-            while (true)    // pop states until one found that accepts error token
-            {
-                if (FsaState.ParserTable != null &&
-                    FsaState.ParserTable.ContainsKey(errorToken) &&
-                    FsaState.ParserTable[errorToken] > 0) // shift
-                    return true;
-
-#if TRACE_ACTIONS
-					Console.Error.WriteLine("Error: popping state {0}", StateStack.Top().number);
-#endif
-                StateStack.Pop();
-                valueStack.Pop();
-                LocationStack.Pop();
-
-#if TRACE_ACTIONS
-					DisplayStack();
-#endif
-                if (StateStack.IsEmpty())
-                {
-#if TRACE_ACTIONS
-                        Console.Error.Write("Aborting: didn't find a state that accepts error token");
-#endif
-                    return false;
-                }
-                else
-                    FsaState = StateStack.TopElement();
-            }
-        }
-
-        private bool DiscardInvalidTokens()
-        {
-
-            int action = FsaState.defaultAction;
-
-            if (FsaState.ParserTable != null)
-            {
-                // Discard tokens until find one that works ...
-                while (true)
-                {
-                    if (NextToken == 0)
-                    {
-#if TRACE_ACTIONS
-                            Console.Error.Write("Reading a token: ");
-#endif                       
-                        NextToken = scanner.yylex();
-                    }
-
-#if TRACE_ACTIONS
-                        Console.Error.WriteLine("Next token is {0}", TerminalToString(NextToken));
-#endif
-                    if (NextToken == endOfFileToken)
-                        return false;
-
-                    if (FsaState.ParserTable.ContainsKey(NextToken))
-                        action = FsaState.ParserTable[NextToken];
-
-                    if (action != 0)
-                        return true;
-                    else
-                    {
-#if TRACE_ACTIONS
-                            Console.Error.WriteLine("Error: Discarding {0}", TerminalToString(NextToken));
-#endif
-                        NextToken = 0;
-                    }
-                }
-            }
-            else if (recovering && tokensSinceLastError == 0)
-            {
-                // 
-                //  Boolean recovering is not set until after the first
-                //  error token has been shifted.  Thus if we get back 
-                //  here with recovering set and no tokens read we are
-                //  looping on the same error recovery action.  This 
-                //  happens if current_state.ParserTable is null because
-                //  the state has an LR(0) reduction, but not all
-                //  lookahead tokens are valid.  This only occurs for
-                //  error productions that *end* on "error".
-                //
-                //  This action discards tokens one at a time until
-                //  the looping stops.  Another attack would be to always
-                //  use the LALR(1) table if a production ends on "error"
-                //
-#if TRACE_ACTIONS
-                    Console.Error.WriteLine("Error: panic discard of {0}", TerminalToString(NextToken));
-#endif
-                if (NextToken == endOfFileToken)
-                    return false;
-                NextToken = 0;
-                return true;
-            }
-            else
-                return true;
-
-        }
-
-        /// <summary>
-        /// Traditional YACC method.  Discards the next input token.
-        /// </summary>
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yyclearin")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yyclearin")]
-        // Reason for FxCop message suppression -
-        // This is a traditional name for YACC-like functionality
-        protected void yyclearin() { NextToken = 0; }
-
-        /// <summary>
-        /// Tradional YACC method. Clear the "recovering" flag.
-        /// </summary>
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yyerrok")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yyerrok")]
-        // Reason for FxCop message suppression -
-        // This is a traditional name for YACC-like functionality
-        protected void yyerrok()
-        {
-            recovering = false;
-        }
-
-        /// <summary>
-        /// OBSOLETE FOR VERSION 1.4.0
-        /// Method used by derived types to insert new
-        /// state instances in the "states" array.
-        /// </summary>
-        /// <param name="stateNumber">index of the state</param>
-        /// <param name="state">data for the state</param>
-        protected void AddState(int stateNumber, State state)
-        {
-            states[stateNumber] = state;
-            state.number = stateNumber;
-        }
-
-        private void DisplayStack()
-        {
-            Console.Error.Write("State now");
-            for (int i = 0; i < StateStack.Depth; i++)
-                Console.Error.Write(" {0}", StateStack[i].number);
-            Console.Error.WriteLine();
-        }
-
-        private void DisplayRule(int ruleNumber)
-        {
-            Console.Error.Write("Reducing stack by rule {0}, ", ruleNumber);
-            DisplayProduction(rules[ruleNumber]);
-        }
-
-        private void DisplayProduction(Rule rule)
-        {
-            if (rule.RightHandSide.Length == 0)
-                Console.Error.Write("/* empty */ ");
-            else
-                foreach (int symbol in rule.RightHandSide)
-                    Console.Error.Write("{0} ", SymbolToString(symbol));
-
-            Console.Error.WriteLine("-> {0}", SymbolToString(rule.LeftHandSide));
-        }
-
-        /// <summary>
-        /// Abstract state class naming terminal symbols.
-        /// This is overridden by derived classes with the
-        /// name (or alias) to be used in error messages.
-        /// </summary>
-        /// <param name="terminal">The terminal ordinal</param>
-        /// <returns></returns>
-        protected abstract string TerminalToString(int terminal);
-
-        private string SymbolToString(int symbol)
-        {
-            if (symbol < 0)
-                return nonTerminals[-symbol];
-            else
-                return TerminalToString(symbol);
-        }
-
-        /// <summary>
-        /// Return text representation of argument character
-        /// </summary>
-        /// <param name="input">The character to convert</param>
-        /// <returns>String representation of the character</returns>
-        protected static string CharToString(char input)
-        {
-            switch (input)
-            {
-                case '\a': return @"'\a'";
-                case '\b': return @"'\b'";
-                case '\f': return @"'\f'";
-                case '\n': return @"'\n'";
-                case '\r': return @"'\r'";
-                case '\t': return @"'\t'";
-                case '\v': return @"'\v'";
-                case '\0': return @"'\0'";
-                default: return string.Format(CultureInfo.InvariantCulture, "'{0}'", input);
-            }
-        }
-    }
-
-    /// <summary>
-    /// Classes implementing this interface must supply a
-    /// method that merges two location objects to return
-    /// a new object of the same type.
-    /// GPPG-generated parsers have the default location
-    /// action equivalent to "@$ = @1.Merge(@N);" where N
-    /// is the right-hand-side length of the production.
-    /// </summary>
-    /// <typeparam name="TSpan">The Location type</typeparam>
-#if EXPORT_GPPG
-    public interface IMerge<TSpan>
-#else
-    internal interface IMerge<TSpan>
-#endif
-    {
-        /// <summary>
-        /// Interface method that creates a location object from
-        /// the current and last object.  Typically used to create
-        /// a location object extending from the start of the @1
-        /// object to the end of the @N object.
-        /// </summary>
-        /// <param name="last">The lexically last object to merge</param>
-        /// <returns>The merged location object</returns>
-        TSpan Merge(TSpan last);
-    }
-
-    /// <summary>
-    /// This is the default class that carries location
-    /// information from the scanner to the parser.
-    /// If you don't declare "%YYLTYPE Foo" the parser
-    /// will expect to deal with this type.
-    /// </summary>
-#if EXPORT_GPPG
-    public class LexLocation : IMerge<LexLocation>
-#else
-    [SuppressMessage("Microsoft.Performance", "CA1812:AvoidUninstantiatedInternalClasses")]
-    internal class LexLocation : IMerge<LexLocation>
-#endif
-    {
-        private int startLine;   // start line
-        private int startColumn; // start column
-        private int endLine;     // end line
-        private int endColumn;   // end column
-
-        /// <summary>
-        /// The line at which the text span starts.
-        /// </summary>
-        public int StartLine { get { return startLine; } }
-
-        /// <summary>
-        /// The column at which the text span starts.
-        /// </summary>
-        public int StartColumn { get { return startColumn; } }
-
-        /// <summary>
-        /// The line on which the text span ends.
-        /// </summary>
-        public int EndLine { get { return endLine; } }
-
-        /// <summary>
-        /// The column of the first character
-        /// beyond the end of the text span.
-        /// </summary>
-        public int EndColumn { get { return endColumn; } }
-
-        /// <summary>
-        /// Default no-arg constructor.
-        /// </summary>
-        public LexLocation()
-        { }
-
-        /// <summary>
-        /// Constructor for text-span with given start and end.
-        /// </summary>
-        /// <param name="sl">start line</param>
-        /// <param name="sc">start column</param>
-        /// <param name="el">end line </param>
-        /// <param name="ec">end column</param>
-        public LexLocation(int sl, int sc, int el, int ec)
-        { startLine = sl; startColumn = sc; endLine = el; endColumn = ec; }
-
-        /// <summary>
-        /// Create a text location which spans from the 
-        /// start of "this" to the end of the argument "last"
-        /// </summary>
-        /// <param name="last">The last location in the result span</param>
-        /// <returns>The merged span</returns>
-        public LexLocation Merge(LexLocation last)
-        { return new LexLocation(this.startLine, this.startColumn, last.endLine, last.endColumn); }
-
-        public static implicit operator SourceContext(LexLocation loc)
-        {
-            return new SourceContext(loc.StartLine, loc.StartColumn + 1, loc.EndLine, loc.EndColumn);
-        }
-
-    }
-
-    /// <summary>
-    /// Abstract scanner class that GPPG expects its scanners to 
-    /// extend.
-    /// </summary>
-    /// <typeparam name="TValue">Semantic value type YYSTYPE</typeparam>
-    /// <typeparam name="TSpan">Source location type YYLTYPE</typeparam>
-#if EXPORT_GPPG
-    public abstract class AbstractScanner<TValue, TSpan>
-#else
-    internal abstract class AbstractScanner<TValue, TSpan>
-#endif
-        where TSpan : IMerge<TSpan>
-    {
-        /// <summary>
-        /// Lexical value optionally set by the scanner. The value
-        /// is of the %YYSTYPE type declared in the parser spec.
-        /// </summary>
-        [SuppressMessage("Microsoft.Design", "CA1051:DoNotDeclareVisibleInstanceFields")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylval")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylval")]
-        // Reason for FxCop message suppression -
-        // This is a traditional name for YACC-like functionality
-        // A field must be declared for this value of parametric type,
-        // since it may be instantiated by a value struct.  If it were 
-        // implemented as a property, machine generated code in derived
-        // types would not be able to select on the returned value.
-        public TValue yylval;                     // Lexical value: set by scanner
-
-        /// <summary>
-        /// Current scanner location property. The value is of the
-        /// type declared by %YYLTYPE in the parser specification.
-        /// </summary>
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylloc")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylloc")]
-        // Reason for FxCop message suppression -
-        // This is a traditional name for YACC-like functionality
-        public virtual TSpan yylloc
-        {
-            get { return default(TSpan); }       // Empty implementation allowing
-            set { /* skip */ }                   // yylloc to be ignored entirely.
-        }
-
-        /// <summary>
-        /// Main call point for LEX-like scanners.  Returns an int
-        /// corresponding to the token recognized by the scanner.
-        /// </summary>
-        /// <returns>An int corresponding to the token</returns>
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylex")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylex")]
-        // Reason for FxCop message suppression -
-        // This is a traditional name for YACC-like functionality
-        public abstract int yylex();
-
-        /// <summary>
-        /// Traditional error reporting provided by LEX-like scanners
-        /// to their YACC-like clients.
-        /// </summary>
-        /// <param name="format">Message format string</param>
-        /// <param name="args">Optional array of args</param>
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yyerror")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yyerror")]
-        // Reason for FxCop message suppression -
-        // This is a traditional name for YACC-like functionality
-        public virtual void yyerror(string format, params object[] args) { }
-    }
-
-    /// <summary>
-    /// Encapsulated state for the parser.
-    /// Opaque to users, visible to the tool-generated code.
-    /// </summary>
-#if EXPORT_GPPG
-    public class State
-#else
-    internal class State
-#endif
-    {
-        internal int number;
-        internal Dictionary<int, int> ParserTable;   // Terminal -> ParseAction
-        internal Dictionary<int, int> Goto;          // NonTerminal -> State;
-        internal int defaultAction; // = 0;		     // ParseAction
-
-        /// <summary>
-        /// State transition data for this state. Pairs of elements of the 
-        /// goto array associate symbol ordinals with next state indices.
-        /// The actions array is passed to another constructor. 
-        /// </summary>
-        /// <param name="actions">The action list</param>
-        /// <param name="goToList">Next state data</param>
-        public State(int[] actions, int[] goToList)
-            : this(actions)
-        {
-            Goto = new Dictionary<int, int>();
-            for (int i = 0; i < goToList.Length; i += 2)
-                Goto.Add(goToList[i], goToList[i + 1]);
-        }
-
-        /// <summary>
-        /// Action data for this state. Pairs of elements of the 
-        /// action array associate action ordinals with each of
-        /// those symbols that have actions in the current state.
-        /// </summary>
-        /// <param name="actions">The action array</param>
-        public State(int[] actions)
-        {
-            ParserTable = new Dictionary<int, int>();
-            for (int i = 0; i < actions.Length; i += 2)
-                ParserTable.Add(actions[i], actions[i + 1]);
-        }
-
-        /// <summary>
-        /// Set the default action for this state.
-        /// </summary>
-        /// <param name="defaultAction">Ordinal of the default action</param>
-        public State(int defaultAction)
-        {
-            this.defaultAction = defaultAction;
-        }
-
-        /// <summary>
-        /// Set the default action and the state transition table.
-        /// </summary>
-        /// <param name="defaultAction">The default action</param>
-        /// <param name="goToList">Transitions from this state</param>
-        public State(int defaultAction, int[] goToList)
-            : this(defaultAction)
-        {
-            Goto = new Dictionary<int, int>();
-            for (int i = 0; i < goToList.Length; i += 2)
-                Goto.Add(goToList[i], goToList[i + 1]);
-        }
-    }
-
-    /// <summary>
-    /// Rule representation at runtime.
-    /// </summary>
-#if EXPORT_GPPG
-    public class Rule
-#else
-    internal class Rule
-#endif
-    {
-        internal int LeftHandSide; // symbol
-        internal int[] RightHandSide; // symbols
-
-        /// <summary>
-        /// Rule constructor.  This holds the ordinal of
-        /// the left hand side symbol, and the list of
-        /// right hand side symbols, in lexical order.
-        /// </summary>
-        /// <param name="left">The LHS non-terminal</param>
-        /// <param name="right">The RHS symbols, in lexical order</param>
-        public Rule(int left, int[] right)
-        {
-            this.LeftHandSide = left;
-            this.RightHandSide = right;
-        }
-    }
-
-    /// <summary>
-    /// Stack utility for the shift-reduce parser.
-    /// GPPG parsers have three instances:
-    /// (1) The parser state stack, T = QUT.Gppg.State,
-    /// (2) The semantic value stack, T = TValue,
-    /// (3) The location stack, T = TSpan.
-    /// </summary>
-    /// <typeparam name="T"></typeparam>
-#if EXPORT_GPPG
-    public class PushdownPrefixState<T>
-#else
-    internal class PushdownPrefixState<T>
-#endif
-    {
-        //  Note that we cannot use the BCL Stack<T> class
-        //  here as derived types need to index into stacks.
-        //
-        private T[] array = new T[8];
-        private int tos = 0;
-
-        /// <summary>
-        /// Indexer for values of the stack below the top.
-        /// </summary>
-        /// <param name="index">index of the element, starting from the bottom</param>
-        /// <returns>the selected element</returns>
-        public T this[int index] { get { return array[index]; } }
-
-        /// <summary>
-        /// The current depth of the stack.
-        /// </summary>
-        public int Depth { get { return tos; } }
-
-        internal void Push(T value)
-        {
-            if (tos >= array.Length)
-            {
-                T[] newarray = new T[array.Length * 2];
-                System.Array.Copy(array, newarray, tos);
-                array = newarray;
-            }
-            array[tos++] = value;
-        }
-
-        internal T Pop()
-        {
-            T rslt = array[--tos];
-            array[tos] = default(T);
-            return rslt;
-        }
-
-        internal T TopElement() { return array[tos - 1]; }
-
-        internal bool IsEmpty() { return tos == 0; }
-    }
-}
\ No newline at end of file
diff --git a/Grammars/Oberon10Independent (by Juliet)/generateParserScanner.bat b/Grammars/Oberon10Independent (by Juliet)/generateParserScanner.bat
deleted file mode 100644
index 2f9f25c2c..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/generateParserScanner.bat	
+++ /dev/null
@@ -1,3 +0,0 @@
-cls
-GPLex_GPPG\gplex.exe /unicode oberon00.lex
-GPLex_GPPG\gppg.exe /no-lines /gplex oberon00.y
diff --git a/Grammars/Oberon10Independent (by Juliet)/generate_all.bat b/Grammars/Oberon10Independent (by Juliet)/generate_all.bat
deleted file mode 100644
index 602cf5ca0..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/generate_all.bat	
+++ /dev/null
@@ -1,9 +0,0 @@
-cls
-GPLex_GPPG\gplex.exe /unicode oberon00.lex
-GPLex_GPPG\gppg.exe /no-lines /gplex oberon00.y
-
-copy ..\..\bin\SyntaxTree.dll DLL\SyntaxTree.dll
-%windir%\microsoft.net\framework\v3.5\msbuild /t:rebuild /property:Configuration=Release ObrProba.sln
-
-copy bin\Release\Oberon00Parser.dll Install\PascalABC.NET\Oberon00Parser.dll
-copy bin\Release\Oberon00Parser.dll ..\..\bin\Oberon00Parser.dll
diff --git a/Grammars/Oberon10Independent (by Juliet)/oberon00.cs b/Grammars/Oberon10Independent (by Juliet)/oberon00.cs
deleted file mode 100644
index 8fd285398..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/oberon00.cs	
+++ /dev/null
@@ -1,1702 +0,0 @@
-//
-//  This CSharp output file generated by Gardens Point LEX
-//  Version:  1.1.3.301
-//  Machine:  SSM
-//  DateTime: 13.03.2013 16:51:38
-//  UserName: ?????????
-//  GPLEX input file <oberon00.lex>
-//  GPLEX frame file <embedded resource>
-//
-//  Option settings: unicode, parser, minimize
-//  Option settings: classes, compressMap, compressNext, persistBuffer, embedbuffers
-//  Fallback code page: Target machine default
-//
-
-//
-// Experimental embedded frame
-// Version 1.1.3 of 18-April-2010
-//
-//
-#define BACKUP
-#define PERSIST
-
-using System;
-using System.IO;
-using System.Text;
-using System.Globalization;
-using System.Collections.Generic;
-using System.Runtime.Serialization;
-using System.Diagnostics.CodeAnalysis;
-
-using PascalABCCompiler.Oberon00Parser;
-
-namespace GPPGParserScanner
-{   
-    /// <summary>
-    /// Summary Canonical example of GPLEX automaton
-    /// </summary>
-    
-#if STANDALONE
-    //
-    // These are the dummy declarations for stand-alone GPLEX applications
-    // normally these declarations would come from the parser.
-    // If you declare /noparser, or %option noparser then you get this.
-    //
-
-     public enum Tokens
-    { 
-      EOF = 0, maxParseToken = int.MaxValue 
-      // must have at least these two, values are almost arbitrary
-    }
-
-     public abstract class ScanBase
-    {
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylex")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylex")]
-        public abstract int yylex();
-
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yywrap")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yywrap")]
-        protected virtual bool yywrap() { return true; }
-
-#if BABEL
-        protected abstract int CurrentSc { get; set; }
-        // EolState is the 32-bit of state data persisted at 
-        // the end of each line for Visual Studio colorization.  
-        // The default is to return CurrentSc.  You must override
-        // this if you want more complicated behavior.
-        public virtual int EolState { 
-            get { return CurrentSc; }
-            set { CurrentSc = value; } 
-        }
-    }
-    
-     public interface IColorScan
-    {
-        void SetSource(string source, int offset);
-        int GetNext(ref int state, out int start, out int end);
-#endif // BABEL
-    }
-
-#endif // STANDALONE
-    
-    // If the compiler can't find the scanner base class maybe you
-    // need to run GPPG with the /gplex option, or GPLEX with /noparser
-#if BABEL
-     public sealed partial class Scanner : ScanBase, IColorScan
-    {
-        private ScanBuff buffer;
-        int currentScOrd;  // start condition ordinal
-        
-        protected override int CurrentSc 
-        {
-             // The current start state is a property
-             // to try to avoid the user error of setting
-             // scState but forgetting to update the FSA
-             // start state "currentStart"
-             //
-             get { return currentScOrd; }  // i.e. return YY_START;
-             set { currentScOrd = value;   // i.e. BEGIN(value);
-                   currentStart = startState[value]; }
-        }
-#else  // BABEL
-     public sealed partial class Scanner : ScanBase
-    {
-        private ScanBuff buffer;
-        int currentScOrd;  // start condition ordinal
-#endif // BABEL
-        
-        /// <summary>
-        /// The input buffer for this scanner.
-        /// </summary>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public ScanBuff Buffer { get { return buffer; } }
-        
-        private static int GetMaxParseToken() {
-     System.Reflection.FieldInfo f = typeof(Tokens).GetField("maxParseToken");
-            return (f == null ? int.MaxValue : (int)f.GetValue(null));
-        }
-        
-        static int parserMax = GetMaxParseToken();
-        
-        enum Result {accept, noMatch, contextFound};
-
-        const int maxAccept = 39;
-        const int initial = 40;
-        const int eofNum = 0;
-        const int goStart = -1;
-        const int INITIAL = 0;
-        const int COMMENT = 1;
-        const int COMMENT_S = 2;
-
-#region user code
-#endregion user code
-
-        int state;
-        int currentStart = startState[0];
-        int code;      // last code read
-        int cCol;      // column number of code
-        int lNum;      // current line number
-        //
-        // The following instance variables are used, among other
-        // things, for constructing the yylloc location objects.
-        //
-        int tokPos;        // buffer position at start of token
-        int tokCol;        // zero-based column number at start of token
-        int tokLin;        // line number at start of token
-        int tokEPos;       // buffer position at end of token
-        int tokECol;       // column number at end of token
-        int tokELin;       // line number at end of token
-        string tokTxt;     // lazily constructed text of token
-#if STACK          
-        private Stack<int> scStack = new Stack<int>();
-#endif // STACK
-
-#region ScannerTables
-    struct Table {
-        public int min; public int rng; public int dflt;
-        public sbyte[] nxt;
-        public Table(int m, int x, int d, sbyte[] n) {
-            min = m; rng = x; dflt = d; nxt = n;
-        }
-    };
-
-    static int[] startState = new int[] {40, 50, 53, 0};
-
-#region CompressedCharacterMap
-    //
-    // There are 33 equivalence classes
-    // There are 2 character sequence regions
-    // There are 1 tables, 127 entries
-    // There are 1 runs, 0 singletons
-    // Decision tree depth is 1
-    //
-    static sbyte[] mapC0 = new sbyte[127] {
-/*     '\0' */ 0, 23, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 
-/*   '\x10' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*   '\x20' */ 0, 17, 31, 10, 0, 0, 15, 30, 11, 12, 6, 5, 13, 4, 16, 7, 
-/*      '0' */ 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 1, 3, 8, 2, 9, 0, 
-/*      '@' */ 0, 27, 27, 27, 29, 29, 27, 25, 28, 25, 25, 25, 25, 25, 25, 25, 
-/*      'P' */ 25, 25, 25, 25, 25, 25, 25, 25, 32, 25, 25, 20, 0, 21, 0, 25, 
-/*      '`' */ 0, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 
-/*      'p' */ 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 18, 22, 19, 14 };
-
-    static sbyte MapC(int code)
-    { // '\0' <= code <= '\U0010FFFF'
-      if (code < 127) // '\0' <= code <= '~'
-        return mapC0[code - 0];
-      else // '\x7F' <= code <= '\U0010FFFF'
-        return (sbyte)0;
-    }
-#endregion
-
-    static Table[] NxS = new Table[54] {
-/* NxS[   0] */ new Table(0, 0, 0, null),
-/* NxS[   1] */ new Table(2, 1, -1, new sbyte[] {36}),
-/* NxS[   2] */ new Table(0, 0, -1, null),
-/* NxS[   3] */ new Table(0, 0, -1, null),
-/* NxS[   4] */ new Table(0, 0, -1, null),
-/* NxS[   5] */ new Table(0, 0, -1, null),
-/* NxS[   6] */ new Table(0, 0, -1, null),
-/* NxS[   7] */ new Table(7, 1, -1, new sbyte[] {35}),
-/* NxS[   8] */ new Table(2, 1, -1, new sbyte[] {34}),
-/* NxS[   9] */ new Table(2, 1, -1, new sbyte[] {33}),
-/* NxS[  10] */ new Table(0, 0, -1, null),
-/* NxS[  11] */ new Table(6, 1, -1, new sbyte[] {32}),
-/* NxS[  12] */ new Table(0, 0, -1, null),
-/* NxS[  13] */ new Table(0, 0, -1, null),
-/* NxS[  14] */ new Table(0, 0, -1, null),
-/* NxS[  15] */ new Table(0, 0, -1, null),
-/* NxS[  16] */ new Table(16, 1, -1, new sbyte[] {31}),
-/* NxS[  17] */ new Table(0, 0, -1, null),
-/* NxS[  18] */ new Table(0, 0, -1, null),
-/* NxS[  19] */ new Table(0, 0, -1, null),
-/* NxS[  20] */ new Table(0, 0, -1, null),
-/* NxS[  21] */ new Table(0, 0, -1, null),
-/* NxS[  22] */ new Table(0, 0, -1, null),
-/* NxS[  23] */ new Table(0, 0, -1, null),
-/* NxS[  24] */ new Table(25, 8, -1, new sbyte[] {24, 24, 24, 24, 24, -1, 
-          -1, 24}),
-/* NxS[  25] */ new Table(16, 17, -1, new sbyte[] {28, -1, -1, -1, -1, -1, 
-          -1, -1, -1, -1, 25, 47, 29, 47, -1, -1, 27}),
-/* NxS[  26] */ new Table(0, 0, -1, null),
-/* NxS[  27] */ new Table(0, 0, -1, null),
-/* NxS[  28] */ new Table(26, 4, -1, new sbyte[] {28, -1, -1, 48}),
-/* NxS[  29] */ new Table(0, 0, -1, null),
-/* NxS[  30] */ new Table(26, 1, -1, new sbyte[] {30}),
-/* NxS[  31] */ new Table(0, 0, -1, null),
-/* NxS[  32] */ new Table(0, 0, -1, null),
-/* NxS[  33] */ new Table(0, 0, -1, null),
-/* NxS[  34] */ new Table(0, 0, -1, null),
-/* NxS[  35] */ new Table(0, 0, -1, null),
-/* NxS[  36] */ new Table(0, 0, -1, null),
-/* NxS[  37] */ new Table(0, 0, -1, null),
-/* NxS[  38] */ new Table(0, 0, -1, null),
-/* NxS[  39] */ new Table(0, 0, -1, null),
-/* NxS[  40] */ new Table(30, 30, 24, new sbyte[] {41, 42, 24, -1, 1, 2, 
-          3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 
-          19, 20, 21, 22, 23, -1, 24, 25}),
-/* NxS[  41] */ new Table(24, 7, 45, new sbyte[] {-1, 45, 45, 45, 45, 45, 
-          26}),
-/* NxS[  42] */ new Table(24, 8, 43, new sbyte[] {-1, 43, 43, 43, 43, 43, 
-          43, 26}),
-/* NxS[  43] */ new Table(24, 8, 44, new sbyte[] {-1, 44, 44, 44, 44, 44, 
-          44, 27}),
-/* NxS[  44] */ new Table(24, 8, 44, new sbyte[] {-1, 44, 44, 44, 44, 44, 
-          44, 26}),
-/* NxS[  45] */ new Table(24, 7, 46, new sbyte[] {-1, 46, 46, 46, 46, 46, 
-          27}),
-/* NxS[  46] */ new Table(24, 7, 46, new sbyte[] {-1, 46, 46, 46, 46, 46, 
-          26}),
-/* NxS[  47] */ new Table(26, 7, -1, new sbyte[] {47, 47, 29, 47, -1, -1, 
-          27}),
-/* NxS[  48] */ new Table(26, 13, -1, new sbyte[] {30, -1, -1, -1, -1, -1, 
-          -1, -1, -1, -1, -1, 49, 49}),
-/* NxS[  49] */ new Table(26, 1, -1, new sbyte[] {30}),
-/* NxS[  50] */ new Table(6, 6, -1, new sbyte[] {51, -1, -1, -1, -1, 52}),
-/* NxS[  51] */ new Table(12, 1, -1, new sbyte[] {38}),
-/* NxS[  52] */ new Table(6, 1, -1, new sbyte[] {37}),
-/* NxS[  53] */ new Table(24, 1, -1, new sbyte[] {39}),
-    };
-
-int NextState() {
-    if (code == ScanBuff.EndOfFile)
-        return eofNum;
-    else
-        unchecked {
-            int rslt;
-            int idx = MapC(code) - NxS[state].min;
-            if (idx < 0) idx += 33;
-            if ((uint)idx >= (uint)NxS[state].rng) rslt = NxS[state].dflt;
-            else rslt = NxS[state].nxt[idx];
-            return rslt;
-        }
-}
-
-#endregion
-
-
-#if BACKUP
-        // ==============================================================
-        // == Nested struct used for backup in automata that do backup ==
-        // ==============================================================
-
-        struct Context // class used for automaton backup.
-        {
-            public int bPos;
-            public int rPos; // scanner.readPos saved value
-            public int cCol;
-            public int lNum; // Need this in case of backup over EOL.
-            public int state;
-            public int cChr;
-        }
-        
-        private Context ctx = new Context();
-#endif // BACKUP
-
-        // ==============================================================
-        // ==== Nested struct to support input switching in scanners ====
-        // ==============================================================
-
-		struct BufferContext {
-            internal ScanBuff buffSv;
-			internal int chrSv;
-			internal int cColSv;
-			internal int lNumSv;
-		}
-
-        // ==============================================================
-        // ===== Private methods to save and restore buffer contexts ====
-        // ==============================================================
-
-        /// <summary>
-        /// This method creates a buffer context record from
-        /// the current buffer object, together with some
-        /// scanner state values. 
-        /// </summary>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        BufferContext MkBuffCtx()
-		{
-			BufferContext rslt;
-			rslt.buffSv = this.buffer;
-			rslt.chrSv = this.code;
-			rslt.cColSv = this.cCol;
-			rslt.lNumSv = this.lNum;
-			return rslt;
-		}
-
-        /// <summary>
-        /// This method restores the buffer value and allied
-        /// scanner state from the given context record value.
-        /// </summary>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        void RestoreBuffCtx(BufferContext value)
-		{
-			this.buffer = value.buffSv;
-			this.code = value.chrSv;
-			this.cCol = value.cColSv;
-			this.lNum = value.lNumSv;
-        } 
-        // =================== End Nested classes =======================
-
-#if !NOFILES
-     public Scanner(Stream file) {
-            SetSource(file, 0); // unicode option
-        }
-
-        public Scanner(Stream file, string codepage) {
-            SetSource(file, CodePageHandling.GetCodePage(codepage));
-        }
-        
-#endif // !NOFILES
-
-     public Scanner() { }
-
-        private int readPos;
-
-        void GetCode()
-        {
-            if (code == '\n')  // This needs to be fixed for other conventions
-                               // i.e. [\r\n\205\u2028\u2029]
-            { 
-                cCol = -1;
-                lNum++;
-            }
-            readPos = buffer.Pos;
-
-            // Now read new codepoint.
-            code = buffer.Read();
-            if (code > ScanBuff.EndOfFile)
-            {
-#if (!BYTEMODE)
-                if (code >= 0xD800 && code <= 0xDBFF)
-                {
-                    int next = buffer.Read();
-                    if (next < 0xDC00 || next > 0xDFFF)
-                        code = ScanBuff.UnicodeReplacementChar;
-                    else
-                        code = (0x10000 + (code & 0x3FF << 10) + (next & 0x3FF));
-                }
-#endif
-                cCol++;
-            }
-        }
-
-        void MarkToken()
-        {
-#if (!PERSIST)
-            buffer.Mark();
-#endif
-            tokPos = readPos;
-            tokLin = lNum;
-            tokCol = cCol;
-        }
-        
-        void MarkEnd()
-        {
-            tokTxt = null;
-            tokEPos = readPos;
-            tokELin = lNum;
-            tokECol = cCol;
-        }
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int Peek()
-        {
-            int rslt, codeSv = code, cColSv = cCol, lNumSv = lNum, bPosSv = buffer.Pos;
-            GetCode(); rslt = code;
-            lNum = lNumSv; cCol = cColSv; code = codeSv; buffer.Pos = bPosSv;
-            return rslt;
-        }
-
-        // ==============================================================
-        // =====    Initialization of string-based input buffers     ====
-        // ==============================================================
-
-        /// <summary>
-        /// Create and initialize a StringBuff buffer object for this scanner
-        /// </summary>
-        /// <param name="source">the input string</param>
-        /// <param name="offset">starting offset in the string</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(string source, int offset)
-        {
-            this.buffer = ScanBuff.GetBuffer(source);
-            this.buffer.Pos = offset;
-            this.lNum = 0;
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            GetCode();
-        }
-
-#if !NOFILES        
-        // ================ LineBuffer Initialization ===================
-
-        /// <summary>
-        /// Create and initialize a LineBuff buffer object for this scanner
-        /// </summary>
-        /// <param name="source">the list of input strings</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(IList<string> source)
-        {
-            this.buffer = ScanBuff.GetBuffer(source);
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            this.lNum = 0;
-            GetCode();
-        }
-
-        // =============== StreamBuffer Initialization ==================
-
-        /// <summary>
-        /// Create and initialize a StreamBuff buffer object for this scanner.
-        /// StreamBuff is buffer for 8-bit byte files.
-        /// </summary>
-        /// <param name="source">the input byte stream</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(Stream source)
-        {
-            this.buffer = ScanBuff.GetBuffer(source);
-            this.lNum = 0;
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            GetCode();
-        }
-        
-#if !BYTEMODE
-        // ================ TextBuffer Initialization ===================
-
-        /// <summary>
-        /// Create and initialize a TextBuff buffer object for this scanner.
-        /// TextBuff is a buffer for encoded unicode files.
-        /// </summary>
-        /// <param name="source">the input text file</param>
-        /// <param name="fallbackCodePage">Code page to use if file has
-        /// no BOM. For 0, use machine default; for -1, 8-bit binary</param>
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        public void SetSource(Stream source, int fallbackCodePage)
-        {
-            this.buffer = ScanBuff.GetBuffer(source, fallbackCodePage);
-            this.lNum = 0;
-            this.code = '\n'; // to initialize yyline, yycol and lineStart
-            GetCode();
-        }
-#endif // !BYTEMODE
-#endif // !NOFILES
-        
-        // ==============================================================
-
-#if BABEL
-        //
-        //  Get the next token for Visual Studio
-        //
-        //  "state" is the inout mode variable that maintains scanner
-        //  state between calls, using the EolState property. In principle,
-        //  if the calls of EolState are costly set could be called once
-        //  only per line, at the start; and get called only at the end
-        //  of the line. This needs more infrastructure ...
-        //
-        public int GetNext(ref int state, out int start, out int end)
-        {
-                Tokens next;
-            int s, e;
-            s = state;        // state at start
-            EolState = state;
-                next = (Tokens)Scan();
-            state = EolState;
-            e = state;       // state at end;
-            start = tokPos;
-            end = tokEPos - 1; // end is the index of last char.
-            return (int)next;
-        }        
-#endif // BABEL
-
-        // ======== AbstractScanner<> Implementation =========
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yylex")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yylex")]
-        public override int yylex()
-        {
-            // parserMax is set by reflecting on the Tokens
-            // enumeration.  If maxParseToken is defined
-            // that is used, otherwise int.MaxValue is used.
-            int next;
-            do { next = Scan(); } while (next >= parserMax);
-            return next;
-        }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int yypos { get { return tokPos; } }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int yyline { get { return tokLin; } }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        int yycol { get { return tokCol; } }
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yytext")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yytext")]
-        public string yytext
-        {
-            get 
-            {
-                if (tokTxt == null) 
-                    tokTxt = buffer.GetString(tokPos, tokEPos);
-                return tokTxt;
-            }
-        }
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        void yyless(int n)
-        {
-            buffer.Pos = tokPos;
-            // Must read at least one char, so set before start.
-            cCol = tokCol - 1; 
-            GetCode();
-            // Now ensure that line counting is correct.
-            lNum = tokLin;
-            // And count the rest of the text.
-            for (int i = 0; i < n; i++) GetCode();
-            MarkEnd();
-        }
-       
-        //
-        //  It would be nice to count backward in the text
-        //  but it does not seem possible to re-establish
-        //  the correct column counts except by going forward.
-        //
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        void _yytrunc(int n) { yyless(yyleng - n); }
-        
-        //
-        // This is painful, but we no longer count
-        // codepoints.  For the overwhelming majority 
-        // of cases the single line code is fast, for
-        // the others, well, at least it is all in the
-        // buffer so no files are touched. Note that we
-        // can't use (tokEPos - tokPos) because of the
-        // possibility of surrogate pairs in the token.
-        //
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        [SuppressMessage("Microsoft.Naming", "CA1709:IdentifiersShouldBeCasedCorrectly", MessageId = "yyleng")]
-        [SuppressMessage("Microsoft.Naming", "CA1704:IdentifiersShouldBeSpelledCorrectly", MessageId = "yyleng")]
-        public int yyleng
-        {
-            get {
-#if BYTEMODE
-                return tokEPos - tokPos;
-#else   
-                if (tokELin == tokLin)
-                    return tokECol - tokCol;
-                else {
-                    int ch;
-                    int count = 0;
-                    int save = buffer.Pos;
-                    buffer.Pos = tokPos;
-                    do {
-                        ch = buffer.Read();
-                        if (!char.IsHighSurrogate((char)ch)) count++;
-                    } while (buffer.Pos < tokEPos && ch != ScanBuff.EndOfFile);
-                    buffer.Pos = save; 
-                    return count;
-                }
-#endif // BYTEMODE
-            }
-        }
-        
-        // ============ methods available in actions ==============
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal int YY_START {
-            get { return currentScOrd; }
-            set { currentScOrd = value; 
-                  currentStart = startState[value]; 
-            } 
-        }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal void BEGIN(int next) {
-            currentScOrd = next;
-            currentStart = startState[next];
-        }
-
-        // ============== The main tokenizer code =================
-
-        int Scan()
-        {
-            try {
-                for (; ; )
-                {
-                    int next;              // next state to enter                   
-#if BACKUP
-                    Result rslt = Result.noMatch;
-#endif // BACKUP
-#if LEFTANCHORS
-                    for (;;)
-                    {
-                        // Discard characters that do not start any pattern.
-                        // Must check the left anchor condition after *every* GetCode!
-                        state = ((cCol == 0) ? anchorState[currentScOrd] : currentStart);
-                        if ((next = NextState()) != goStart) 
-                            break; // LOOP EXIT HERE...
-                        GetCode();
-                    }
-                    
-#else // !LEFTANCHORS
-                    state = currentStart;
-                    while ((next = NextState()) == goStart)
-                        // At this point, the current character has no
-                        // transition from the current state.  We discard 
-                        // the "no-match" char.   In traditional LEX such 
-                        // characters are echoed to the console.
-                        GetCode();
-#endif // LEFTANCHORS                    
-                    // At last, a valid transition ...    
-                    MarkToken();
-                    state = next;
-                    GetCode();
-                    
-                    while ((next = NextState()) > eofNum) // Exit for goStart AND for eofNum
-#if BACKUP
-                        if (state <= maxAccept && next > maxAccept) // need to prepare backup data
-                        {
-                            // ctx is an object. The fields may be 
-                            // mutated by the call to Recurse2.
-                            // On return the data in ctx is the
-                            // *latest* accept state that was found.
-                            
-                            rslt = Recurse2(ref ctx, next);
-                            if (rslt == Result.noMatch) 
-                                RestoreStateAndPos(ref ctx);
-                            break;
-                        }
-                        else
-#endif // BACKUP
-                        {
-                            state = next;
-                            GetCode();
-                        }
-                    if (state <= maxAccept) 
-                    {
-                        MarkEnd();
-#region ActionSwitch
-#pragma warning disable 162
-    switch (state)
-    {
-        case eofNum:
-            switch (currentStart) {
-                case 50:
-PT.AddError("Комментарий не закрыт", yylloc);
-                    break;
-            }
-            if (yywrap())
-                return (int)Tokens.EOF;
-            break;
-        case 1:
-return (int)Tokens.COLON;
-            break;
-        case 2:
-return (int)Tokens.EQ;
-            break;
-        case 3:
-return (int)Tokens.SEMICOLUMN;
-            break;
-        case 4:
-return (int)Tokens.MINUS;
-            break;
-        case 5:
-return (int)Tokens.PLUS;
-            break;
-        case 6:
-return (int)Tokens.MULT;
-            break;
-        case 7:
-return (int)Tokens.DIVIDE;
-            break;
-        case 8:
-return (int)Tokens.LT;
-            break;
-        case 9:
-return (int)Tokens.GT;
-            break;
-        case 10:
-return (int)Tokens.NE;
-            break;
-        case 11:
-return (int)Tokens.LPAREN;
-            break;
-        case 12:
-return (int)Tokens.RPAREN;
-            break;
-        case 13:
-return (int)Tokens.COLUMN;
-            break;
-        case 14:
-return (int)Tokens.NOT;
-            break;
-        case 15:
-return (int)Tokens.AND;
-            break;
-        case 16:
-return (int)Tokens.COMMA;
-            break;
-        case 17:
-return (int)Tokens.EXCLAMATION;
-            break;
-        case 18:
-return (int)Tokens.LBRACE;
-            break;
-        case 19:
-return (int)Tokens.RBRACE;
-            break;
-        case 20:
-return (int)Tokens.LBRACKET;
-            break;
-        case 21:
-return (int)Tokens.RBRACKET;
-            break;
-        case 22:
-return (int)Tokens.PIPE;
-            break;
-        case 23:
-return (int)Tokens.INVISIBLE;
-            break;
-        case 24:
-int res = Keywords.KeywordOrIDToken(yytext);
-  if (res == (int)Tokens.ID){
-    yylval.sVal = yytext;
-	PT.LastIdentificator = yytext;
-  }
-  return res;
-            break;
-        case 25:
-int tryParseInt;
-	if (int.TryParse(yytext, out tryParseInt)){
-		yylval.iVal = tryParseInt;
-		return (int)Tokens.INTNUM; 
-	}
-	System.Int64 tryParseLong;
-	if (System.Int64.TryParse(yytext, out tryParseLong)){
-		yylval.lVal = tryParseLong;
-		return (int)Tokens.LONGINTNUM; 
-	}
-	PT.AddError("Слишком длинное целое", yylloc);
-            break;
-        case 26:
-yylval.sVal = PT.GetStringContent(yytext);
-	return (int)Tokens.STRING_CONST;
-            break;
-        case 27:
-try{
-		yylval.cVal = PT.GetStringContent(yytext)[0];
-		return (int)Tokens.CHAR_CONST;
-	}
-	catch (System.ArgumentException){
-		PT.AddError("Некорректный код символа", yylloc);
-	}
-            break;
-        case 28:
-        case 30:
-double tryParseDouble;
-	var correctDouble = PT.GetCorrectDoubleStr(yytext);
-	if (double.TryParse(correctDouble, out tryParseDouble)){
-		yylval.rVal = tryParseDouble;
-		return (int)Tokens.REALNUM; 
-	}
-	PT.AddError("Слишком длинное вещественное", yylloc);
-            break;
-        case 29:
-var _yytext = yytext.Substring(0, yytext.Length - 1); 
-	int tryParseHexInt;
-	if (int.TryParse(_yytext, System.Globalization.NumberStyles.AllowHexSpecifier, null, out tryParseHexInt)){
-		yylval.iVal = tryParseHexInt;
-		return (int)Tokens.INTNUM; 
-	}
-	System.Int64 tryParseHexLong;
-	if (System.Int64.TryParse(_yytext, System.Globalization.NumberStyles.AllowHexSpecifier, null, out tryParseHexLong)){
-		yylval.lVal = tryParseHexLong;
-		return (int)Tokens.LONGINTNUM; 
-	}
-	PT.AddError("Слишком длинное шестнадцатеричное целое", yylloc);
-            break;
-        case 31:
-return (int)Tokens.DOUBLEPOINT;
-            break;
-        case 32:
-BEGIN(COMMENT);
-	mlCommentCnt = 1;
-            break;
-        case 33:
-return (int)Tokens.GE;
-            break;
-        case 34:
-return (int)Tokens.LE;
-            break;
-        case 35:
-BEGIN(COMMENT_S);
-            break;
-        case 36:
-return (int)Tokens.ASSIGN;
-            break;
-        case 37:
-++mlCommentCnt;
-            break;
-        case 38:
---mlCommentCnt;
-	if (mlCommentCnt == 0)
-		BEGIN(INITIAL);
-            break;
-        case 39:
-BEGIN(INITIAL);
-            break;
-        default:
-            break;
-    }
-#pragma warning restore 162
-#endregion
-                    }
-                }
-            } // end try
-            finally {
-// User-specified epilog to scan()
-yylloc = new QUT.Gppg.LexLocation(tokLin, tokCol, tokELin, tokECol);
-// End, user-specified epilog
-            } // end finally
-        }
-
-#if BACKUP
-        Result Recurse2(ref Context ctx, int next)
-        {
-            // Assert: at entry "state" is an accept state AND
-            //         NextState(state, code) != goStart AND
-            //         NextState(state, code) is not an accept state.
-            //
-            SaveStateAndPos(ref ctx);
-            state = next;
-            GetCode();
-
-            while ((next = NextState()) > eofNum)
-            {
-                if (state <= maxAccept && next > maxAccept) // need to update backup data
-                    SaveStateAndPos(ref ctx);
-                state = next;
-                if (state == eofNum) return Result.accept;
-                GetCode(); 
-            }
-            return (state <= maxAccept ? Result.accept : Result.noMatch);
-        }
-
-        void SaveStateAndPos(ref Context ctx)
-        {
-            ctx.bPos  = buffer.Pos;
-            ctx.rPos  = readPos;
-            ctx.cCol  = cCol;
-            ctx.lNum  = lNum;
-            ctx.state = state;
-            ctx.cChr  = code;
-        }
-
-        void RestoreStateAndPos(ref Context ctx)
-        {
-            buffer.Pos = ctx.bPos;
-            readPos = ctx.rPos;
-            cCol  = ctx.cCol;
-            lNum  = ctx.lNum;
-            state = ctx.state;
-            code  = ctx.cChr;
-        }
-
-#endif // BACKUP
-
-        // ============= End of the tokenizer code ================
-
-#if STACK        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal void yy_clear_stack() { scStack.Clear(); }
-        
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal int yy_top_state() { return scStack.Peek(); }
-        
-        internal void yy_push_state(int state)
-        {
-            scStack.Push(currentScOrd);
-            BEGIN(state);
-        }
-        
-        internal void yy_pop_state()
-        {
-            // Protect against input errors that pop too far ...
-            if (scStack.Count > 0) {
-				int newSc = scStack.Pop();
-				BEGIN(newSc);
-            } // Otherwise leave stack unchanged.
-        }
- #endif // STACK
-
-        [SuppressMessage("Microsoft.Performance", "CA1811:AvoidUncalledPrivateCode")]
-        internal void ECHO() { Console.Out.Write(yytext); }
-        
-#region UserCodeSection
-
-static int mlCommentCnt = 0;				
-
-  public override void yyerror(string format, params object[] args) 
-  {
-    string errorMsg = PT.CreateErrorString(args);
-    PT.AddError(errorMsg,yylloc);
-  }
-
-// Статический класс, определяющий ключевые слова языка
-public static class Keywords
-{
-	private static Dictionary<string, int> keywords = new Dictionary<string, int>();
-
-	static Keywords()
-	{
-		keywords.Add("TRUE", (int)Tokens.TRUE);
-		keywords.Add("FALSE", (int)Tokens.FALSE);
-		keywords.Add("ODD", (int)Tokens.ODD);
-		keywords.Add("OR", (int)Tokens.OR);
-		keywords.Add("DIV", (int)Tokens.DIV);
-		keywords.Add("MOD", (int)Tokens.MOD);
-		keywords.Add("BEGIN", (int)Tokens.BEGIN);
-		keywords.Add("END", (int)Tokens.END);
-		keywords.Add("MODULE", (int)Tokens.MODULE);
-		keywords.Add("CONST", (int)Tokens.CONST);
-		keywords.Add("VAR", (int)Tokens.VAR);
-		keywords.Add("TYPE", (int)Tokens.TYPE);
-		keywords.Add("ARRAY", (int)Tokens.ARRAY);
-		keywords.Add("OF", (int)Tokens.OF);
-		keywords.Add("RECORD", (int)Tokens.RECORD);
-		keywords.Add("POINTER", (int)Tokens.POINTER);
-		keywords.Add("IF", (int)Tokens.IF);
-		keywords.Add("THEN", (int)Tokens.THEN);
-		keywords.Add("ELSE", (int)Tokens.ELSE);
-		keywords.Add("ELSEIF", (int)Tokens.ELSEIF);
-		keywords.Add("WHILE", (int)Tokens.WHILE);
-		keywords.Add("DO", (int)Tokens.DO);
-		keywords.Add("REPEAT", (int)Tokens.REPEAT);
-		keywords.Add("UNTIL", (int)Tokens.UNTIL);
-		keywords.Add("FOR", (int)Tokens.FOR);
-		keywords.Add("TO", (int)Tokens.TO);
-		keywords.Add("BY", (int)Tokens.BY);
-		keywords.Add("CASE", (int)Tokens.CASE);
-		keywords.Add("PROCEDURE", (int)Tokens.PROCEDURE);
-	}
-	public static int KeywordOrIDToken(string s)
-	{
-		if (keywords.ContainsKey(s))
-			return keywords[s];
-		else
-			return (int)Tokens.ID;
-	}
-}
-
-#endregion
-    } // end class $Scanner
-
-// ==============================================================
-// <auto-generated>
-// This code automatically produced from an embedded resource.
-// Do not edit this file, or it will become incompatible with 
-// the specification from which it was generated.
-// </auto-generated>
-// ==============================================================
-
-// Code copied from GPLEX embedded resource
-    [Serializable]
-    public class BufferException : Exception
-    {
-        public BufferException() { }
-        public BufferException(string message) : base(message) { }
-        public BufferException(string message, Exception innerException)
-            : base(message, innerException) { }
-        protected BufferException(SerializationInfo info, StreamingContext context)
-            : base(info, context) { }
-    }
-
-    public abstract class ScanBuff
-    {
-        private string fileNm;
-
-        public const int EndOfFile = -1;
-        public const int UnicodeReplacementChar = 0xFFFD;
-
-        public bool IsFile { get { return (fileNm != null); } }
-        public string FileName { get { return fileNm; } set { fileNm = value; } }
-
-        public abstract int Pos { get; set; }
-        public abstract int Read();
-        public virtual void Mark() { }
-
-        public abstract string GetString(int begin, int limit);
-
-        public static ScanBuff GetBuffer(string source)
-        {
-            return new StringBuffer(source);
-        }
-
-        public static ScanBuff GetBuffer(IList<string> source)
-        {
-            return new LineBuffer(source);
-        }
-
-        public static ScanBuff GetBuffer(Stream source)
-        {
-            return new BuildBuffer(source);
-        }
-
-#if (!BYTEMODE)
-        public static ScanBuff GetBuffer(Stream source, int fallbackCodePage)
-        {
-            return new BuildBuffer(source, fallbackCodePage);
-        }
-#endif
-    }
-
-    #region Buffer classes
-
-    // ==============================================================
-    // =====  Definitions for various ScanBuff derived classes   ====
-    // ==============================================================
-    // ===============         String input          ================
-    // ==============================================================
-
-    /// <summary>
-    /// This class reads characters from a single string as
-    /// required, for example, by Visual Studio language services
-    /// </summary>
-    sealed class StringBuffer : ScanBuff
-    {
-        string str;        // input buffer
-        int bPos;          // current position in buffer
-        int sLen;
-
-        public StringBuffer(string source)
-        {
-            this.str = source;
-            this.sLen = source.Length;
-            this.FileName = null;
-        }
-
-        public override int Read()
-        {
-            if (bPos < sLen) return str[bPos++];
-            else if (bPos == sLen) { bPos++; return '\n'; }   // one strike, see new line
-            else { bPos++; return EndOfFile; }                // two strikes and you're out!
-        }
-
-        public override string GetString(int begin, int limit)
-        {
-            //  "limit" can be greater than sLen with the BABEL
-            //  option set.  Read returns a "virtual" EOL if
-            //  an attempt is made to read past the end of the
-            //  string buffer.  Without the guard any attempt 
-            //  to fetch yytext for a token that includes the 
-            //  EOL will throw an index exception.
-            if (limit > sLen) limit = sLen;
-            if (limit <= begin) return "";
-            else return str.Substring(begin, limit - begin);
-        }
-
-        public override int Pos
-        {
-            get { return bPos; }
-            set { bPos = value; }
-        }
-
-        public override string ToString() { return "StringBuffer"; }
-    }
-
-    // ==============================================================
-    //  The LineBuff class contributed by Nigel Horspool, 
-    //  nigelh@cs.uvic.cs
-    // ==============================================================
-
-    sealed class LineBuffer : ScanBuff
-    {
-        IList<string> line;    // list of source lines from a file
-        int numLines;          // number of strings in line list
-        string curLine;        // current line in that list
-        int cLine;             // index of current line in the list
-        int curLen;            // length of current line
-        int curLineStart;      // position of line start in whole file
-        int curLineEnd;        // position of line end in whole file
-        int maxPos;            // max position ever visited in whole file
-        int cPos;              // ordinal number of code in source
-
-        // Constructed from a list of strings, one per source line.
-        // The lines have had trailing '\n' characters removed.
-        public LineBuffer(IList<string> lineList)
-        {
-            line = lineList;
-            numLines = line.Count;
-            cPos = curLineStart = 0;
-            curLine = (numLines > 0 ? line[0] : "");
-            maxPos = curLineEnd = curLen = curLine.Length;
-            cLine = 1;
-            FileName = null;
-        }
-
-        public override int Read()
-        {
-            if (cPos < curLineEnd)
-                return curLine[cPos++ - curLineStart];
-            if (cPos++ == curLineEnd)
-                return '\n';
-            if (cLine >= numLines)
-                return EndOfFile;
-            curLine = line[cLine];
-            curLen = curLine.Length;
-            curLineStart = curLineEnd + 1;
-            curLineEnd = curLineStart + curLen;
-            if (curLineEnd > maxPos)
-                maxPos = curLineEnd;
-            cLine++;
-            return curLen > 0 ? curLine[0] : '\n';
-        }
-
-        // To speed up searches for the line containing a position
-        private int cachedPosition;
-        private int cachedIxdex;
-        private int cachedLineStart;
-
-        // Given a position pos within the entire source, the results are
-        //   ix     -- the index of the containing line
-        //   lstart -- the position of the first character on that line
-        private void findIndex(int pos, out int ix, out int lstart)
-        {
-            if (pos >= cachedPosition)
-            {
-                ix = cachedIxdex; lstart = cachedLineStart;
-            }
-            else
-            {
-                ix = lstart = 0;
-            }
-            for (; ; )
-            {
-                int len = line[ix].Length + 1;
-                if (pos < lstart + len) break;
-                lstart += len;
-                ix++;
-            }
-            cachedPosition = pos;
-            cachedIxdex = ix;
-            cachedLineStart = lstart;
-        }
-
-        public override string GetString(int begin, int limit)
-        {
-            if (begin >= maxPos || limit <= begin) return "";
-            int endIx, begIx, endLineStart, begLineStart;
-            findIndex(begin, out begIx, out begLineStart);
-            int begCol = begin - begLineStart;
-            findIndex(limit, out endIx, out endLineStart);
-            int endCol = limit - endLineStart;
-            string s = line[begIx];
-            if (begIx == endIx)
-            {
-                // the usual case, substring all on one line
-                return (endCol <= s.Length) ?
-                    s.Substring(begCol, endCol - begCol)
-                    : s.Substring(begCol) + "\n";
-            }
-            // the string spans multiple lines, yuk!
-            StringBuilder sb = new StringBuilder();
-            if (begCol < s.Length)
-                sb.Append(s.Substring(begCol));
-            for (; ; )
-            {
-                sb.Append("\n");
-                s = line[++begIx];
-                if (begIx >= endIx) break;
-                sb.Append(s);
-            }
-            if (endCol <= s.Length)
-            {
-                sb.Append(s.Substring(0, endCol));
-            }
-            else
-            {
-                sb.Append(s);
-                sb.Append("\n");
-            }
-            return sb.ToString();
-        }
-
-        public override int Pos
-        {
-            get { return cPos; }
-            set
-            {
-                cPos = value;
-                findIndex(cPos, out cLine, out curLineStart);
-                curLine = line[cLine];
-                curLineEnd = curLineStart + curLine.Length;
-            }
-        }
-
-        public override string ToString() { return "LineBuffer"; }
-    }
-
-
-    // ==============================================================
-    // =====     class BuildBuff : for unicode text files    ========
-    // ==============================================================
-
-    class BuildBuffer : ScanBuff
-    {
-        // Double buffer for char stream.
-        class BufferElement
-        {
-            StringBuilder bldr = new StringBuilder();
-            StringBuilder next = new StringBuilder();
-            int minIx;
-            int maxIx;
-            int brkIx;
-            bool appendToNext;
-
-            internal BufferElement() { }
-
-            internal int MaxIndex { get { return maxIx; } }
-            // internal int MinIndex { get { return minIx; } }
-
-            internal char this[int index]
-            {
-                get
-                {
-                    if (index < minIx || index >= maxIx)
-                        throw new BufferException("Index was outside data buffer");
-                    else if (index < brkIx)
-                        return bldr[index - minIx];
-                    else
-                        return next[index - brkIx];
-                }
-            }
-
-            internal void Append(char[] block, int count)
-            {
-                maxIx += count;
-                if (appendToNext)
-                    this.next.Append(block, 0, count);
-                else
-                {
-                    this.bldr.Append(block, 0, count);
-                    brkIx = maxIx;
-                    appendToNext = true;
-                }
-            }
-
-            internal string GetString(int start, int limit)
-            {
-                if (limit <= start)
-                    return "";
-                if (start >= minIx && limit <= maxIx)
-                    if (limit < brkIx) // String entirely in bldr builder
-                        return bldr.ToString(start - minIx, limit - start);
-                    else if (start >= brkIx) // String entirely in next builder
-                        return next.ToString(start - brkIx, limit - start);
-                    else // Must do a string-concatenation
-                        return
-                            bldr.ToString(start - minIx, brkIx - start) +
-                            next.ToString(0, limit - brkIx);
-                else
-                    throw new BufferException("String was outside data buffer");
-            }
-
-            internal void Mark(int limit)
-            {
-                if (limit > brkIx + 16) // Rotate blocks
-                {
-                    StringBuilder temp = bldr;
-                    bldr = next;
-                    next = temp;
-                    next.Length = 0;
-                    minIx = brkIx;
-                    brkIx = maxIx;
-                }
-            }
-        }
-
-        BufferElement data = new BufferElement();
-
-        int bPos;            // Postion index in the StringBuilder
-        BlockReader NextBlk; // Delegate that serves char-arrays;
-
-        private string EncodingName
-        {
-            get
-            {
-                StreamReader rdr = NextBlk.Target as StreamReader;
-                return (rdr == null ? "raw-bytes" : rdr.CurrentEncoding.BodyName);
-            }
-        }
-
-        public BuildBuffer(Stream stream)
-        {
-            FileStream fStrm = (stream as FileStream);
-            if (fStrm != null) FileName = fStrm.Name;
-            NextBlk = BlockReaderFactory.Raw(stream);
-        }
-
-#if (!BYTEMODE)
-        public BuildBuffer(Stream stream, int fallbackCodePage)
-        {
-            FileStream fStrm = (stream as FileStream);
-            if (fStrm != null) FileName = fStrm.Name;
-            NextBlk = BlockReaderFactory.Get(stream, fallbackCodePage);
-        }
-#endif
-
-        /// <summary>
-        /// Marks a conservative lower bound for the buffer,
-        /// allowing space to be reclaimed.  If an application 
-        /// needs to call GetString at arbitrary past locations 
-        /// in the input stream, Mark() is not called.
-        /// </summary>
-        public override void Mark() { data.Mark(bPos - 2); }
-
-        public override int Pos
-        {
-            get { return bPos; }
-            set { bPos = value; }
-        }
-
-
-        /// <summary>
-        /// Read returns the ordinal number of the next char, or 
-        /// EOF (-1) for an end of stream.  Note that the next
-        /// code point may require *two* calls of Read().
-        /// </summary>
-        /// <returns></returns>
-        public override int Read()
-        {
-            //
-            //  Characters at positions 
-            //  [data.offset, data.offset + data.bldr.Length)
-            //  are available in data.bldr.
-            //
-            if (bPos < data.MaxIndex)
-            {
-                // ch0 cannot be EOF
-                return (int)data[bPos++];
-            }
-            else // Read from underlying stream
-            {
-                // Experimental code, blocks of page size
-                char[] chrs = new char[4096];
-                int count = NextBlk(chrs, 0, 4096);
-                if (count == 0)
-                    return EndOfFile;
-                else
-                {
-                    data.Append(chrs, count);
-                    return (int)data[bPos++];
-                }
-            }
-        }
-
-        public override string GetString(int begin, int limit)
-        {
-            return data.GetString(begin, limit);
-        }
-
-        public override string ToString()
-        {
-            return "StringBuilder buffer, encoding: " + this.EncodingName;
-        }
-    }
-
-    // =============== End ScanBuff-derived classes ==================
-
-    public delegate int BlockReader(char[] block, int index, int number);
-
-    // A delegate factory, serving up a delegate that
-    // reads a block of characters from the underlying
-    // encoded stream, via a StreamReader object.
-    //
-    public static class BlockReaderFactory
-    {
-        public static BlockReader Raw(Stream stream)
-        {
-            return delegate(char[] block, int index, int number)
-            {
-                byte[] b = new byte[number];
-                int count = stream.Read(b, 0, number);
-                int i = 0;
-                int j = index;
-                for (; i < count; i++, j++)
-                    block[j] = (char)b[i];
-                return count;
-            };
-        }
-
-#if (!BYTEMODE)
-        public static BlockReader Get(Stream stream, int fallbackCodePage)
-        {
-            Encoding encoding;
-            int preamble = Preamble(stream);
-
-            if (preamble != 0)  // There is a valid BOM here!
-                encoding = Encoding.GetEncoding(preamble);
-            else if (fallbackCodePage == -1) // Fallback is "raw" bytes
-                return Raw(stream);
-            else if (fallbackCodePage != -2) // Anything but "guess"
-                encoding = Encoding.GetEncoding(fallbackCodePage);
-            else // This is the "guess" option
-            {
-                int guess = new Guesser(stream).GuessCodePage();
-                stream.Seek(0, SeekOrigin.Begin);
-                if (guess == -1) // ==> this is a 7-bit file
-                    encoding = Encoding.ASCII;
-                else if (guess == 65001)
-                    encoding = Encoding.UTF8;
-                else             // ==> use the machine default
-                    encoding = Encoding.Default;
-            }
-            StreamReader reader = new StreamReader(stream, encoding);
-            return reader.Read;
-        }
-
-        static int Preamble(Stream stream)
-        {
-            int b0 = stream.ReadByte();
-            int b1 = stream.ReadByte();
-
-            if (b0 == 0xfe && b1 == 0xff)
-                return 1201; // UTF16BE
-            if (b0 == 0xff && b1 == 0xfe)
-                return 1200; // UTF16LE
-
-            int b2 = stream.ReadByte();
-            if (b0 == 0xef && b1 == 0xbb && b2 == 0xbf)
-                return 65001; // UTF8
-            //
-            // There is no unicode preamble, so we
-            // return denoter for the machine default.
-            //
-            stream.Seek(0, SeekOrigin.Begin);
-            return 0;
-        }
-#endif // !BYTEMODE
-    }
-    #endregion Buffer classes
-
-    // ==============================================================
-    // ============      class CodePageHandling         =============
-    // ==============================================================
-
-    public static class CodePageHandling
-    {
-        public static int GetCodePage(string option)
-        {
-            string command = option.ToUpperInvariant();
-            if (command.StartsWith("CodePage:", StringComparison.OrdinalIgnoreCase))
-                command = command.Substring(9);
-            try
-            {
-                if (command.Equals("RAW"))
-                    return -1;
-                else if (command.Equals("GUESS"))
-                    return -2;
-                else if (command.Equals("DEFAULT"))
-                    return 0;
-                else if (char.IsDigit(command[0]))
-                    return int.Parse(command, CultureInfo.InvariantCulture);
-                else
-                {
-                    Encoding enc = Encoding.GetEncoding(command);
-                    return enc.CodePage;
-                }
-            }
-            catch (FormatException)
-            {
-                Console.Error.WriteLine(
-                    "Invalid format \"{0}\", using machine default", option);
-            }
-            catch (ArgumentException)
-            {
-                Console.Error.WriteLine(
-                    "Unknown code page \"{0}\", using machine default", option);
-            }
-            return 0;
-        }
-    }
-#region guesser
-#if (!BYTEMODE)
-    // ==============================================================
-    // ============          Encoding Guesser           =============
-    // ==============================================================
-
-    /// <summary>
-    /// This class provides a simple finite state automaton that
-    /// scans the file looking for (1) valid UTF-8 byte patterns,
-    /// (2) bytes >= 0x80 which are not part of a UTF-8 sequence.
-    /// The method then guesses whether it is UTF-8 or maybe some 
-    /// local machine default encoding.  This works well for the
-    /// various Latin encodings.
-    /// </summary>
-    internal class Guesser
-    {
-        ScanBuff buffer;
-
-        public int GuessCodePage() { return Scan(); }
-
-        const int maxAccept = 10;
-        const int initial = 0;
-        const int eofNum = 0;
-        const int goStart = -1;
-        const int INITIAL = 0;
-        const int EndToken = 0;
-
-        #region user code
-        /* 
-         *  Reads the bytes of a file to determine if it is 
-         *  UTF-8 or a single-byte code page file.
-         */
-        public long utfX;
-        public long uppr;
-        #endregion user code
-
-        int state;
-        int currentStart = startState[0];
-        int code;
-
-        #region ScannerTables
-        static int[] startState = new int[] { 11, 0 };
-
-        #region CharacterMap
-        static sbyte[] map = new sbyte[256] {
-/*     '\0' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*   '\x10' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*   '\x20' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*      '0' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*      '@' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*      'P' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*      '`' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*      'p' */ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
-/*   '\x80' */ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
-/*   '\x90' */ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
-/*   '\xA0' */ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
-/*   '\xB0' */ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
-/*   '\xC0' */ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
-/*   '\xD0' */ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 
-/*   '\xE0' */ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 
-/*   '\xF0' */ 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5 };
-        #endregion
-
-        static sbyte[][] nextState = new sbyte[][] {
-            new sbyte[] {0, 0, 0, 0, 0, 0},
-            new sbyte[] {-1, -1, 10, -1, -1, -1},
-            new sbyte[] {-1, -1, -1, -1, -1, -1},
-            new sbyte[] {-1, -1, 8, -1, -1, -1},
-            new sbyte[] {-1, -1, 5, -1, -1, -1},
-            new sbyte[] {-1, -1, 6, -1, -1, -1},
-            new sbyte[] {-1, -1, 7, -1, -1, -1},
-            null,
-            new sbyte[] {-1, -1, 9, -1, -1, -1},
-            null,
-            null,
-            new sbyte[] {-1, 1, 2, 3, 4, 2}
-        };
-
-
-        [SuppressMessage("Microsoft.Performance", "CA1810:InitializeReferenceTypeStaticFieldsInline")]
-        // Reason for suppression: cannot have self-reference in array initializer.
-        static Guesser()
-        {
-            nextState[7] = nextState[2];
-            nextState[9] = nextState[2];
-            nextState[10] = nextState[2];
-        }
-
-        int NextState()
-        {
-            if (code == ScanBuff.EndOfFile)
-                return eofNum;
-            else
-                return nextState[state][map[code]];
-        }
-        #endregion
-
-        public Guesser(System.IO.Stream file) { SetSource(file); }
-
-        public void SetSource(System.IO.Stream source)
-        {
-            this.buffer = new BuildBuffer(source);
-            code = buffer.Read();
-        }
-
-        int Scan()
-        {
-            for (; ; )
-            {
-                int next;
-                state = currentStart;
-                while ((next = NextState()) == goStart)
-                    code = buffer.Read();
-
-                state = next;
-                code = buffer.Read();
-
-                while ((next = NextState()) > eofNum)
-                {
-                    state = next;
-                    code = buffer.Read();
-                }
-                if (state <= maxAccept)
-                {
-                    #region ActionSwitch
-#pragma warning disable 162
-                    switch (state)
-                    {
-                        case eofNum:
-                            switch (currentStart)
-                            {
-                                case 11:
-                                    if (utfX == 0 && uppr == 0) return -1; /* raw ascii */
-                                    else if (uppr * 10 > utfX) return 0;   /* default code page */
-                                    else return 65001;                     /* UTF-8 encoding */
-                                    break;
-                            }
-                            return EndToken;
-                        case 1: // Recognized '{Upper128}',	Shortest string "\xC0"
-                        case 2: // Recognized '{Upper128}',	Shortest string "\x80"
-                        case 3: // Recognized '{Upper128}',	Shortest string "\xE0"
-                        case 4: // Recognized '{Upper128}',	Shortest string "\xF0"
-                            uppr++;
-                            break;
-                        case 5: // Recognized '{Utf8pfx4}{Utf8cont}',	Shortest string "\xF0\x80"
-                            uppr += 2;
-                            break;
-                        case 6: // Recognized '{Utf8pfx4}{Utf8cont}{2}',	Shortest string "\xF0\x80\x80"
-                            uppr += 3;
-                            break;
-                        case 7: // Recognized '{Utf8pfx4}{Utf8cont}{3}',	Shortest string "\xF0\x80\x80\x80"
-                            utfX += 3;
-                            break;
-                        case 8: // Recognized '{Utf8pfx3}{Utf8cont}',	Shortest string "\xE0\x80"
-                            uppr += 2;
-                            break;
-                        case 9: // Recognized '{Utf8pfx3}{Utf8cont}{2}',	Shortest string "\xE0\x80\x80"
-                            utfX += 2;
-                            break;
-                        case 10: // Recognized '{Utf8pfx2}{Utf8cont}',	Shortest string "\xC0\x80"
-                            utfX++;
-                            break;
-                        default:
-                            break;
-                    }
-#pragma warning restore 162
-                    #endregion
-                }
-            }
-        }
-    } // end class Guesser
-    
-#endif // !BYTEMODE
-#endregion
-
-// End of code copied from embedded resource
-
-} // end namespace
diff --git a/Grammars/Oberon10Independent (by Juliet)/oberon00.lex b/Grammars/Oberon10Independent (by Juliet)/oberon00.lex
deleted file mode 100644
index ac9eb1fa0..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/oberon00.lex	
+++ /dev/null
@@ -1,190 +0,0 @@
-%namespace GPPGParserScanner
-
-%using PascalABCCompiler.Oberon00Parser;
-
-Digit 		[0-9] 
-HexDigit	{Digit}|[A-F]
-Alpha 		[a-zA-Z_]
-EndLine 	\n									// ����� ������
-AlphaDigit 	{Alpha}|{Digit}
-ScaleFactor	[ED][\+\-]?{Digit}+
-HEXINTNUM	{Digit}{HexDigit}*H
-INTNUM 		{Digit}+
-REALNUM		{Digit}+\.{Digit}*{ScaleFactor}?
-ID 			{Alpha}{AlphaDigit}*
-CHARACTER 	'[^'\n]'|\"[^\"\n]\"|{Digit}{HexDigit}*X
-STRING 		'[^'\n]*'|\"[^\"\n]*\"
- 
-
-%x COMMENT									// ��������� ��� ������������
-%x COMMENT_S								// ��������� ��� ������������ ������������				
-
-%%
-
-":=" { return (int)Tokens.ASSIGN; }
-";" { return (int)Tokens.SEMICOLUMN; }
-"-" { return (int)Tokens.MINUS; }
-"+" { return (int)Tokens.PLUS; }
-"*" { return (int)Tokens.MULT; }
-"/" { return (int)Tokens.DIVIDE; }
-"<" { return (int)Tokens.LT; }
-">" { return (int)Tokens.GT; }
-"<=" { return (int)Tokens.LE; }
-">=" { return (int)Tokens.GE; }
-"=" { return (int)Tokens.EQ; }
-"#" { return (int)Tokens.NE; }
-"(" { return (int)Tokens.LPAREN; }
-")" { return (int)Tokens.RPAREN; }
-"," { return (int)Tokens.COLUMN; }
-"~" { return (int)Tokens.NOT; }
-"&" { return (int)Tokens.AND; }
-"." { return (int)Tokens.COMMA; }
-":" { return (int)Tokens.COLON; }
-"!" { return (int)Tokens.EXCLAMATION; }
-"{" { return (int)Tokens.LBRACE; }
-"}" { return (int)Tokens.RBRACE; }
-"[" { return (int)Tokens.LBRACKET; }
-"]" { return (int)Tokens.RBRACKET; }
-".." { return (int)Tokens.DOUBLEPOINT; }
-"|" { return (int)Tokens.PIPE; }
-\x01 { return (int)Tokens.INVISIBLE; }
-
-"//" { BEGIN(COMMENT_S);}					// ������������ �����������
-<COMMENT_S> {EndLine} { BEGIN(INITIAL);}
-"(*" { 										// ������������� ��������� �����������
-	BEGIN(COMMENT);
-	mlCommentCnt = 1;
-}
-<COMMENT> "(*" { ++mlCommentCnt; }
-<COMMENT> "*)" { 
-	--mlCommentCnt;
-	if (mlCommentCnt == 0)
-		BEGIN(INITIAL);
-}
-<COMMENT> <<EOF>> { 
-	PT.AddError("����������� �� ������", yylloc); 
-}
-
-{ID}  { 
-  int res = Keywords.KeywordOrIDToken(yytext);
-  if (res == (int)Tokens.ID){
-    yylval.sVal = yytext;
-	PT.LastIdentificator = yytext;
-  }
-  return res;
-}
-
-{INTNUM} { 
-	int tryParseInt;
-	if (int.TryParse(yytext, out tryParseInt)){
-		yylval.iVal = tryParseInt;
-		return (int)Tokens.INTNUM; 
-	}
-	System.Int64 tryParseLong;
-	if (System.Int64.TryParse(yytext, out tryParseLong)){
-		yylval.lVal = tryParseLong;
-		return (int)Tokens.LONGINTNUM; 
-	}
-	PT.AddError("������� ������� �����", yylloc);
-}
-
-{HEXINTNUM} {
-	var _yytext = yytext.Substring(0, yytext.Length - 1); 
-	int tryParseHexInt;
-	if (int.TryParse(_yytext, System.Globalization.NumberStyles.AllowHexSpecifier, null, out tryParseHexInt)){
-		yylval.iVal = tryParseHexInt;
-		return (int)Tokens.INTNUM; 
-	}
-	System.Int64 tryParseHexLong;
-	if (System.Int64.TryParse(_yytext, System.Globalization.NumberStyles.AllowHexSpecifier, null, out tryParseHexLong)){
-		yylval.lVal = tryParseHexLong;
-		return (int)Tokens.LONGINTNUM; 
-	}
-	PT.AddError("������� ������� ����������������� �����", yylloc);
-}
-
-{REALNUM} {
-	double tryParseDouble;
-	var correctDouble = PT.GetCorrectDoubleStr(yytext);
-	if (double.TryParse(correctDouble, out tryParseDouble)){
-		yylval.rVal = tryParseDouble;
-		return (int)Tokens.REALNUM; 
-	}
-	PT.AddError("������� ������� ������������", yylloc);
-}
-
-{CHARACTER} {
-	try{
-		yylval.cVal = PT.GetStringContent(yytext)[0];
-		return (int)Tokens.CHAR_CONST;
-	}
-	catch (System.ArgumentException){
-		PT.AddError("������������ ��� �������", yylloc);
-	}
-}
-{STRING} { 
-	yylval.sVal = PT.GetStringContent(yytext);
-	return (int)Tokens.STRING_CONST; 
-}
-
-%{
-  yylloc = new QUT.Gppg.LexLocation(tokLin, tokCol, tokELin, tokECol);
-%}
-
-%%
-
-// ������� ����������� ��� ������������� ��������� ������������
-static int mlCommentCnt = 0;				
-
-  public override void yyerror(string format, params object[] args) 
-  {
-    string errorMsg = PT.CreateErrorString(args);
-    PT.AddError(errorMsg,yylloc);
-  }
-
-// ����������� �����, ������������ �������� ����� �����
-public static class Keywords
-{
-	private static Dictionary<string, int> keywords = new Dictionary<string, int>();
-
-	static Keywords()
-	{
-		keywords.Add("TRUE", (int)Tokens.TRUE);
-		keywords.Add("FALSE", (int)Tokens.FALSE);
-		keywords.Add("ODD", (int)Tokens.ODD);
-		keywords.Add("OR", (int)Tokens.OR);
-		keywords.Add("DIV", (int)Tokens.DIV);
-		keywords.Add("MOD", (int)Tokens.MOD);
-		keywords.Add("BEGIN", (int)Tokens.BEGIN);
-		keywords.Add("END", (int)Tokens.END);
-		keywords.Add("MODULE", (int)Tokens.MODULE);
-		keywords.Add("CONST", (int)Tokens.CONST);
-		keywords.Add("VAR", (int)Tokens.VAR);
-		keywords.Add("TYPE", (int)Tokens.TYPE);
-		keywords.Add("ARRAY", (int)Tokens.ARRAY);
-		keywords.Add("OF", (int)Tokens.OF);
-		keywords.Add("RECORD", (int)Tokens.RECORD);
-		keywords.Add("POINTER", (int)Tokens.POINTER);
-		keywords.Add("IF", (int)Tokens.IF);
-		keywords.Add("THEN", (int)Tokens.THEN);
-		keywords.Add("ELSE", (int)Tokens.ELSE);
-		keywords.Add("ELSEIF", (int)Tokens.ELSEIF);
-		keywords.Add("WHILE", (int)Tokens.WHILE);
-		keywords.Add("DO", (int)Tokens.DO);
-		keywords.Add("REPEAT", (int)Tokens.REPEAT);
-		keywords.Add("UNTIL", (int)Tokens.UNTIL);
-		keywords.Add("FOR", (int)Tokens.FOR);
-		keywords.Add("TO", (int)Tokens.TO);
-		keywords.Add("BY", (int)Tokens.BY);
-		keywords.Add("CASE", (int)Tokens.CASE);
-		keywords.Add("PROCEDURE", (int)Tokens.PROCEDURE);
-	}
-	public static int KeywordOrIDToken(string s)
-	{
-		if (keywords.ContainsKey(s))
-			return keywords[s];
-		else
-			return (int)Tokens.ID;
-	}
-}
-  
diff --git a/Grammars/Oberon10Independent (by Juliet)/oberon00.lst b/Grammars/Oberon10Independent (by Juliet)/oberon00.lst
deleted file mode 100644
index 92b1f2990..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/oberon00.lst	
+++ /dev/null
@@ -1,906 +0,0 @@
-
-// ==========================================================================
-//  GPPG error listing for yacc source file <oberon00.y>
-// ==========================================================================
-//  Version:  1.3.6
-//  Machine:  SSM
-//  DateTime: 13.03.2013 16:49:30
-//  UserName: Станислав
-// ==========================================================================
-
-
-%{
-// Ýòè îáúÿâëåíèÿ äîáàâëÿþòñÿ â êëàññ GPPGParser, ïðåäñòàâëÿþùèé ñîáîé ïàðñåð, ãåíåðèðóåìûé ñèñòåìîé gppg
-    public syntax_tree_node root; // Êîðíåâîé óçåë ñèíòàêñè÷åñêîãî äåðåâà 
-    public GPPGParser(AbstractScanner<ValueType, LexLocation> scanner) : base(scanner) { }
-%}
-
-%output=oberon00yacc.cs 
-
-%parsertype GPPGParser
-
-%union  
-	{ 
-		public bool bVal;  
-		public string sVal; 
-		public int iVal; 
-		public long lVal;								// Äëèííîå öåëîå
-		public char cVal;
-		public double rVal;
-		public pascal_set_constant sc;					// Êîíñòàíòà - ìíîæåñòâî
-		public named_type_reference ntr;				// Èìåíîâàííîå îïðåäåëåíèå òèïà
-		public type_definition tdef;					// Ñàì òèï		
-		public diapason dpsn;							// Òèï äèàïàçîí
-		public array_type arrt;							// Òèï ìàññèâ
-		public class_definition cldef;					// Îïðåäåëåíèå çàïèñè
-		public indexers_types indts;					// Òèï òèïû èíäåêñîâ ìàññèâà
-		public ref_type rft;							// Òèï óêàçàòåëü
-		public ident_list il;							// Ñïèñîê èäåíòèôèêàòîðîâ
-		public ident id;								// Èäåíòèôèêàòîð
-		public oberon_ident_with_export_marker obrid;	// Îáåðîíîâñêèé óòî÷íåííûé èäåíòèôèêàòîð
-		public oberon_export_marker obrem;				// Îáåðîíîâñêàÿ ýêñïîðòíàÿ ìåòêà
-		public var_def_statement vds;					// Îïèñàíèå ïåðåìåííûõ
-		public variable_definitions vdss;				// Ñåêöèÿ îïèñàíèÿ ïåðåìåííûõ
-		public type_declarations td;					// Ñåêöèÿ îïðåäåëåíèÿ òèïîâ
-		public type_declaration tdec;					// Îïèñàíèå òèïà
-		public expression ex;							// Âûðàæåíèå
-		public expression_list el;						// Ñïèñîê âûðàæåíèé
-		public Operators ops;							// Îïåðàòîðû (îïåðàöèè)
-		public block bl;								// Ïðîãðàììíûé áëîê
-		public statement st;							// Îïåðàòîð ïðîãðàììíûé
-		public statement_list sl;						// Ñïèñîê îïåðàòîðîâ
-		public case_variants cvars;						// Ñïèñîê âàðèàíòîâ îïåðàòîðà CASE
-		public case_variant cvar;							// Âàðèàíò îïåðàòîðà CASE
-		public declaration decsec;						// Îïèñàíèå
-		public declarations decl;						// Ñïèñîê îïèñàíèé
-		public simple_const_definition scd;				// Îïðåäåëåíèå êîíñòàíòû
-		public consts_definitions_list cdl;				// Ñïèñîê îïèñàíèé êîíñòàíò		
-		public procedure_definition pd;					// Îïèñàíèå ïðîöåäóðû
-		public dot_node dn;								// Óçåë â òî÷å÷íîé íîòàöèè
-		public addressed_value adrv;					// Àäðåñîâàííîå çíà÷åíèå		
-	}
-
-%using PascalABCCompiler.SyntaxTree
-%using PascalABCCompiler.Errors
-%using PascalABCCompiler.Oberon00Parser
-
-%namespace GPPGParserScanner
-
-%start module											// Ñòàðòîâûé ñèìâîë - ïðîãðàììíûé ìîäóëü
-
-%token <sVal> ID STRING_CONST
-%token <iVal> INTNUM 
-%token <rVal> REALNUM
-%token <lVal> LONGINTNUM
-%token <bVal> TRUE FALSE
-%token <cVal> CHAR_CONST
-%token <op> PLUS MINUS MULT DIVIDE AND OR LT GT LE GE EQ NE DIV MOD
-%token NOT 
-%token ASSIGN SEMICOLUMN LPAREN RPAREN COLUMN COMMA COLON EXCLAMATION 
-%token LBRACE RBRACE DOUBLEPOINT LBRACKET RBRACKET PIPE
-%token TRUE FALSE
-%token IF THEN ELSE ELSEIF BEGIN END WHILE DO MODULE CONST VAR TYPE
-%token INVISIBLE
-%token PROCEDURE ARRAY OF RECORD REPEAT UNTIL FOR TO BY CASE POINTER
-%token ODD
-
-%type <id> ident specifiedIdent identDef
-%type <obrid> identDef
-%type <obrem> ExportLabel
-%type <il> IDList
-%type <ntr> complexTypeIdent
-%type <sc> SetConstant SetElemList 
-%type <ex> expr ConstExpr SetElem  SimpleExpr ForStep CaseVariantLabels
-%type <ex> term signedTerm factor AddList FactorList 
-%type <st> Assignment IfStatement ElseIfStatements ElseStatements WhileStatement WriteStatement
-%type <st> RepeatStatement Statement ForStatement  CaseStatement ElseBranch
-%type <st> EmptyStatement ProcCallStatement
-%type <sl> StatementSequence
-%type <cvars> CaseVariantList
-%type <cvar> CaseVariant
-%type <decl> Declarations
-%type <decsec> DeclarationsSect
-%type <vds> VarDecl
-%type <vdss> VarDeclarations VarDeclarationsSect
-%type <scd> ConstDecl
-%type <cdl> ConstDeclarations ConstDeclarationsSect
-%type <td> TypeDeclarationsSect TypeDeclarations
-%type <tdec> TypeDecl
-%type <tdef> TypeDef ArrayType
-%type <rft> PointerType
-%type <cldef> RecordType
-%type <pd> ProcedureDeclarationSect
-%type <bl> mainblock
-%type <el> factparams ExprList CaseVariantLabelList
-%type <dpsn> Length
-%type <indts> LengthList
-%type <ops> AddOperator MultOperator Relation
-%type <adrv> specifiedIdent ComplexDesignator Designator
-%type <bVal> maybevar
-
-%left LT GT LE GE EQ NE
-%left PLUS MINUS OR
-%left MULT DIVIDE AND 
-%left NOT
-%left UMINUS UPLUS
-
-%%
-// Warning: NonTerminal symbol "EmptyStatement" is unreachable
-// -----------------------------------------------------------
-
-module  			// Ïðîãðàììíûé ìîäóëü
-	: MODULE ident SEMICOLUMN mainblock ident COMMA 
-    {
-		if ($2.name != $5.name)
-			PT.AddError("Èìÿ " + $5.name + " äîëæíî ñîâïàäàòü ñ èìåíåì ìîäóëÿ " + $2.name, @5);
-		
-		// Ïîäêëþ÷åíèå ñòàíäàðòíîãî ìîäóëÿ Oberon00System, íàïèñàííîãî íà PascalABC.NET
-		var ul = new uses_list("Oberon00System");
-		
-		// Ôîðìèðîâàíèå ìîäóëÿ îñíîâíîé ïðîãðàììû (èñïîëüçóåòñÿ ôàáðè÷íûé ìåòîä âìåñòî êîíñòðóêòîðà)
-		root = program_module.create($2, ul, $4, @$);
-    }
-	| INVISIBLE expr { // Äëÿ Intellisense
-		root = $2;
-	}
-    ;
-	
-ident 				// Èäåíòèôèêàòîð
-	: ID {
-		$$ = new ident($1,@$); 
-	}
-	;
-	
-specifiedIdent		// Óòî÷íåííûé èäåíòèôèêàòîð
-	: ident COMMA ident {
-		$$ = new dot_node($1, $3, @$);
-	}
-	| ident {
-		$$ = $1;
-	}
-	;
-	
-identDef			// Îïðåäåëåííûé èäåíòèôèêàòîð (âîçìîæíà ýêñïîðòíàÿ ìåòêà) TODO
-	: ident ExportLabel {
-		$$ = new oberon_ident_with_export_marker($1.name, $2, @$);
-	}
-	;
-	
-ExportLabel			// Ýêñïîðòíàÿ ìåòêà TODO
-	: MULT {
-		$$ = oberon_export_marker.export;
-	}
-	| MINUS {
-		$$ = oberon_export_marker.export_readonly;
-	}
-	| {
-		//$$ = oberon_export_marker.nonexport;
-		$$ = oberon_export_marker.export;
-	}
-	;
-	
-mainblock			// Ïðîãðàììíûé áëîê
-	: Declarations BEGIN StatementSequence END
-	{
-		$$ = new block($1, $3, @$);
-	}
-	;
-	
-SetConstant			// Âûðàæåíèå-êîíñòàíòà ìíîæåñòâî TODO
-	: LBRACE SetElemList RBRACE {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-	
-SetElemList			// Ñïèñîê ýëåìåíòîâ ìíîæåñòâà TODO
-	: SetElem {
-		$$ = new pascal_set_constant();
-		$$.Add($1);
-		$$.source_context = @$;
-		
-	}
-	| SetElemList COLUMN SetElem {
-		$$ = $1;
-		$$.Add($3);
-		$$.source_context = @$;
-	}
-	| {
-		$$ = new pascal_set_constant();
-	}
-	;
-
-SetElem				// Ýëåìåíò ìíîæåñòâà TODO
-	: expr
-	| expr DOUBLEPOINT expr {
-		$$ = new diapason_expr($1, $3, @$);
-	}
-	;
-
-expr 				// Âûðàæåíèå
-	: SimpleExpr {
-		$$ = $1;
-	}
-	| SimpleExpr Relation SimpleExpr {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-Relation			// Îòíîøåíèå
-	: EQ {
-		$$ = Operators.Equal;
-	}
-	| NE {
-		$$ = Operators.NotEqual;
-	}
-	| LT {
-		$$ = Operators.Less;
-	}
-	| LE {
-		$$ = Operators.LessEqual;
-	}
-	| GT {
-		$$ = Operators.Greater;
-	}
-	| GE {
-		$$ = Operators.GreaterEqual;
-	}
-	;
-
-SimpleExpr			// Ïðîñòîå âûðàæåíèå
-	: signedTerm {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	| signedTerm AddOperator AddList {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-signedTerm			// Ñëàãàåìîå ñî çíàêîì 
-	: term 
-	| MINUS term %prec UMINUS {
-		$$ = new un_expr($2, Operators.Minus, @$);
-	}
-	| PLUS term %prec UPLUS {
-		$$ = new un_expr($2, Operators.Plus, @$);
-	}
-	;
-	
-AddList				// Ñïèñîê ñî ñëàãàåìûìè
-	: term 
-	| AddList AddOperator term {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-term				// Ñëàãàåìîå
-	: factor 	
-	| factor MultOperator FactorList {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-FactorList			// Ñïèñîê ñî ìíîæèòåëÿìè 
-	: factor 
-	| FactorList MultOperator factor {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-factor				// Ìíîæèòåëü 
-	: Designator {
-		$$ = $1;
-	}
-	| INTNUM { 
-		$$ = new int32_const($1,@$); 		
-	}
-	| LONGINTNUM{
-		$$ = new int64_const($1, @$); 		
-	}
-	| REALNUM {
-		$$ = new double_const($1, @$);
-	}
-	| TRUE {
-		$$ = new bool_const(true,@$);
-	}
-	| FALSE {
-		$$ = new bool_const(false,@$);
-	}
-	| CHAR_CONST {
-		$$ = new char_const($1, @$);
-	}
-	| STRING_CONST {
-		$$ = new string_const($1, @$);
-	}
-	| LPAREN expr RPAREN { 
-		$$ = $2;
-	}
-	| NOT factor {
-		$$ = new un_expr($2,Operators.LogicalNOT,@$);
-	}	
-	| SetConstant
-	;
-	
-Designator					// Îáîçíà÷åíèå (îáðàùåíèå ó ýëåìåòó ìàññèâà, ...) TODO
-	: specifiedIdent {
-		$$ = $1;
-	}
-	| ComplexDesignator {
-		$$ = $1;
-	}
-	;
-	
-ComplexDesignator			// Ñîñòàâíîå îáîçíà÷åíèå TODO
-	: specifiedIdent COMMA ident {
-		$$ = new dot_node($1, $3, @$);
-	}
-	| specifiedIdent LBRACKET ExprList RBRACKET {
-		indexer indxr = new indexer();
-		indxr.dereferencing_value = $1;
-		indxr.indexes = $3;
-		$$ = indxr;
-		$$.source_context = @$;
-	}
-	| ComplexDesignator COMMA ident {
-		$$ = new dot_node($1, $3, @$);
-	}
-	| ComplexDesignator LBRACKET ExprList RBRACKET {
-		indexer indxr = new indexer();
-		indxr.dereferencing_value = $1;
-		indxr.indexes = $3;
-		$$ = indxr;
-		$$.source_context = @$;
-	}
-	;
-	
-ExprList					// Ñïèñîê âûðàæåíèé
-	: expr {
-		$$ = new expression_list($1, @$);
-	}
-	| ExprList COLUMN expr {
-		$$ = $1;
-		$$.Add($3, @3);
-		$$.source_context = @$;
-	}
-	;
-	
-AddOperator  		// Îïåðàöèÿ ñëîæåíèÿ
-	: MINUS {
-		$$ = Operators.Minus;
-	}
-	| PLUS {
-		$$ = Operators.Plus;
-	}
-	| OR {
-		$$ = Operators.LogicalOR;
-	}
-	;
-	
-MultOperator  		// Îïåðàöèÿ óìíîæåíèÿ 
-	: MULT {
-		$$ = Operators.Multiplication;
-	}
-	| DIVIDE {
-		$$ = Operators.Division;
-	}
-	| DIV {
-		$$ = Operators.IntegerDivision;
-	}
-	| MOD {
-		$$ = Operators.ModulusRemainder;
-	}
-	| AND {
-		$$ = Operators.LogicalAND;
-	}
-	;
-	
-Statement 					// Îïåðàòîð TODO
-	: Assignment
-	| IfStatement
-	| WhileStatement
-	| RepeatStatement
-	| ForStatement
-	| CaseStatement
-	| WriteStatement
-	| ProcCallStatement
-	;
-
-StatementSequence 			// Ïîñëåäîâàòåëüíîñòü (áëîê) îïåðàòîðîâ
-	: Statement {
-		$$ = new statement_list($1,@$);
-	}
-	| StatementSequence SEMICOLUMN Statement {
-		$1.Add($3,@$);
-		$$ = $1;
-	}
-	;
-
-Assignment 					// Ïðèñâàèâàíèå
-	: Designator ASSIGN expr {
-		$$ = new assign($1, $3, Operators.Assignment, @$);
-	}
-	;
-
-IfStatement 				// Óñëîâíûé îïåðàòîð
-	: IF expr THEN StatementSequence ElseStatements END {
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	| IF expr THEN StatementSequence ElseIfStatements END{
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	;
-
-ElseStatements				// Else-÷àñòü óñëîâíîãî îïåðàòîðà 
-	: ELSE StatementSequence {
-		$$ = $2;
-		$$.source_context = @$;
-	} 
-	| {
-		$$ = null;
-	}
-	;
-	
-ElseIfStatements			// ElseIf-÷àñòü óñëîâíîãî îïåðàòîðà
-	: ELSEIF expr THEN StatementSequence ElseStatements {
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	| ELSEIF expr THEN StatementSequence ElseIfStatements{
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	;
-
-WhileStatement 				// Öèêë ñ ïðåäóñëîâèåì 
-	: WHILE expr DO StatementSequence END {
-		$$ = new while_node($2, $4, WhileCycleType.While, @$);
-	}
-	;
-	
-RepeatStatement				// Öèêë ñ ïîñòóñëîâèåì 
-	: REPEAT StatementSequence UNTIL expr {
-		$$ = new repeat_node($2, $4, @$);
-	}
-	;
-	
-ForStatement				// Öèêë
-	: FOR ident ASSIGN expr TO expr ForStep DO StatementSequence END {
-		expression step;
-		if ($7 != null) 	step = $7;
-		else 				step = new int32_const(1, @7);
-		// Áóäåì ìîäåëèðîâàòü öèêë ÷åðåç while
-		statement_list forStmnt = GetForThroughWhile($2, $4, $6, $9, step, @3, @$);
-		$$ = forStmnt;
-		$$.source_context = @$;
-	}
-	;
-	
-ForStep						// Øàã öèêëà
-	: BY ConstExpr {
-		int32_const step32 = $2 as int32_const;
-		if (step32 != null) {	// øàã ÿâëÿåòñÿ ïðîñòî öåëûì ÷èñëîì (áåç çíàêà)
-			if (step32.val == 0)	PT.AddError("Øàã öèêëà íå ìîæåò áûòü íóëåâûì", @1);
-			else					$$ = new int32_const(step32.val, @$);
-		}
-		else {					// â çíà÷åíèè øàãà ëèáî ïðèñóòñòâóåò çíàê, ëèáî ýòî âîîáùå íå öåëîå
-			un_expr stepMinus = $2 as un_expr;
-			int32_const stepMinusTerm = stepMinus.subnode as int32_const;
-			bool signMinus = (stepMinusTerm != null) &&	(stepMinus.operation_type == Operators.Minus);
-			if (signMinus)
-				if (stepMinusTerm.val == 0)
-					PT.AddError("Øàã öèêëà íå ìîæåò áûòü íóëåâûì", @1);
-				else	
-					$$ = new un_expr(stepMinusTerm, Operators.Minus, @2);
-			else
-				PT.AddError("Øàã öèêëà äîëæåí áûòü öåëûì ÷èñëîì", @1);
-		}
-	}
-	| {
-		$$ = null;
-	}
-	;
-	
-CaseStatement				// Îïåðàòîð âûáîðà 
-	: CASE expr OF CaseVariantList ElseBranch END {
-		$$ = new case_node($2, $4, $5, @$);
-	}
-	;
-	
-CaseVariantList				// Ñïèñîê âàðèàíòîâ îïåðàòîðà CASE 
-	: CaseVariant {
-		$$ = new case_variants();
-		$$.Add($1);
-		$$.source_context = @$;
-	}
-	| CaseVariantList PIPE CaseVariant {
-		$$ = $1;
-		$$.Add($3);
-		$$.source_context = @$;
-	}
-	| {
-		$$ = new case_variants();
-	}
-	;
-	
-CaseVariant					// Âàðèàíò îïåðàòîðà CASE 
-	: CaseVariantLabelList COLON StatementSequence {
-		$$ = new case_variant($1, $3, @$);
-	}
-	;
-	
-CaseVariantLabelList		// Ñïèñîê ìåòîê âàðèàíòà
-	: CaseVariantLabels {
-		$$ = new expression_list($1, @$);
-	}
-	| CaseVariantLabelList COLUMN CaseVariantLabels {
-		$$ = $1;
-		$$.Add($3, @3);
-		$$.source_context = @$;
-	}
-	;
-	
-CaseVariantLabels			// Ìåòêè âàðèàíòà 
-	: ConstExpr {
-		$$ = $1;
-	}
-	| ConstExpr DOUBLEPOINT ConstExpr {
-		$$ = new diapason_expr($1, $3, @$);
-	}
-	;
-	
-ElseBranch					// Âåòêà ELSE îïåðàòîðà CASE 
-	: ELSE StatementSequence {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	| {
-		$$ = null;
-	}
-	;
-
-WriteStatement 
-	: EXCLAMATION expr {
-		expression_list el = new expression_list($2);
-		method_call mc = new method_call(el);
-		mc.dereferencing_value = new ident("print");
-		$$ = mc;
-	}
-	;
-	
-factparams
-	: expr {
-		$$ = new expression_list($1,@$);
-	}
-	| factparams COLUMN expr {
-		$1.Add($3,@$);
-		$$ = $1;
-	}
-	;
-	
-ProcCallStatement
-	: ident LPAREN factparams RPAREN {
-		$$ = new method_call($1,$3,@$);
-	}
-	;
-	
-EmptyStatement				// Ïóñòîé îïåðàòîð
-	: {
-		$$ = new empty_statement();		
-	}
-	;
-
-IDList 						// Ñïèñîê èäåíòèôèêàòîðîâ
-	: identDef {
-		$$=new ident_list($1,@$);
-		
-	}
-	| IDList COLUMN identDef {
-		$1.Add($3,@$);
-		$$ = $1;
-	}
-	;
-
-VarDecl 					// Îïèñàíèå ïåðåìåííûõ îäíîãî òèïà
-	: IDList COLON TypeDef SEMICOLUMN {
-		$$  = new var_def_statement($1, $3, null, definition_attribute.None, false, @$);
-	}
-	;
-
-VarDeclarations 			// Ñïèñîê îïèñàíèé ïåðåìåííûõ
-	: VarDecl {
-		$$ = new variable_definitions($1,@$);
-	}
-	| VarDeclarations VarDecl {
-		$1.Add($2,@$);
-		$$ = $1;
-	}
-	;
-
-	
-ConstDecl 					// Îïèñàíèå îäíîé êîíñòàíòû
-	: identDef EQ ConstExpr SEMICOLUMN {
-		$$ = new simple_const_definition($1,$3,@$);
-	}
-	;
-
-ConstExpr 					// Êîíñòàíòíîå âûðàæåíèå
-	: expr 
-	;
-	
-ConstDeclarations 			// Ñïèñîê îïèñàíèé êîíñòàíò
-	: ConstDecl {
-		$$ = new consts_definitions_list($1,@$);
-	}
-	| ConstDeclarations ConstDecl {
-		$1.Add($2,@$); 
-		$$ = $1;
-	}
-	;
-	
-ConstDeclarationsSect 		// Áëîê îïèñàíèÿ êîíñòàíò
-	: CONST ConstDeclarations {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-
-VarDeclarationsSect 		// Áëîê îïèñàíèÿ ïåðåìåííûõ
-	: VAR VarDeclarations {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-	
-TypeDeclarationsSect		// Áëîê îïðåäåëåíèÿ òèïîâ òèïîâ
-	: TYPE TypeDeclarations {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-	
-TypeDeclarations			// Ñïèñîê îïðåäåëåíèé òèïîâ
-	: TypeDecl {
-		$$ = new  type_declarations();
-		$$.Add($1);
-		$$.source_context = @$;
-	}
-	| TypeDeclarations TypeDecl {
-		$$ = $1;
-		$$.Add($2);
-		$$.source_context = @$;
-	}
-	;
-	
-TypeDecl 					// Îïðåäåëåíèå òèïà
-	: identDef EQ TypeDef SEMICOLUMN {
-		$$ = new type_declaration($1, $3, @$);
-	}
-	;
-	
-TypeDef						// Òèï TODO
-	: complexTypeIdent {
-		$$ = $1;
-	}
-	| ArrayType {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	| RecordType {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	| PointerType {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	;
-	
-ArrayType					// Òèï ìàññèâ TODO
-	: ARRAY OF TypeDef {
-		// îòêðûòûé ìàññèâ
-		diapason dp = new diapason(new int32_const(0), new int32_const(0));
-		indexers_types inxr = new indexers_types();
-		inxr.Add(dp);
-		$$ = new array_type(inxr, $3, @$);
-	}
-	| ARRAY LengthList OF TypeDef {
-		// Áóäåì èñêàòü array n of char, ÷òîáû çàìåíèòü íà ñòðîêó
-		named_type_reference ntr = $4 as named_type_reference;
-		bool complexArr = 	(ntr != null) && (ntr.names.Count == 1) && 
-							(ntr.names[0].name == "char");
-		if (complexArr) 
-			$$ = GetArrWithStrInsteadCharArr($2, @2, @$);
-		else
-			$$ = new array_type($2, $4, @$); 
-	}
-	;
-	
-RecordType					// Çàïèñü TODO
-	: RECORD END COLUMN {
-	
-	}
-	;
-	
-LengthList					// Ñïèñîê ðàçìåðîâ ìàññèâà
-	: Length {
-		$$ = new indexers_types();
-		$$.source_context = @$;
-		$$.Add($1);
-	}
-	| LengthList COLUMN Length {
-		$$ = $1;
-		$$.source_context = @$;
-		$$.Add($3);
-	}
-	;
-	
-Length 						// Äëèíà ìàññèâà
-	: ConstExpr {
-		//  îáåðîíå â ìàññèâå óêàçûâàåòñÿ öåëî÷èñëåííàÿ äëèíà
-		// Ïîýòîìó íàäî ïðîâåðèòü, ÷òî âûðàæåíèå îòíîñèòñÿ ê öåëîìó òèïó
-		object[] types = {$1};
-		bool isLength = typeof(int32_const) == System.Type.GetTypeArray(types)[0];
-		if (isLength)	
-			$$ = GetDiapasonByArrLength($1, @$);
-		else
-			PT.AddError("Äëèíà äîëæíà áûòü öåëûì ÷èñëîì", @1);
-	}
-	;
-
-PointerType					// Òèï óêàçàòåëü
-	: POINTER TO TypeDef {
-		$$ = new ref_type($3, @$);
-	}
-	;
-	
-complexTypeIdent			// Ñîñòàâíîé èäåíòèôèêàòîð òèïà (id1.id2.id3)
-	: ident {
-		$$ = new named_type_reference(PT.InternalTypeName($1.name), @$);
-	}
-	| complexTypeIdent COMMA ident {
-		$$ = $1;
-		$$.Add(PT.InternalTypeName($3.name));
-		$$.source_context = @$;
-	}
-	;
-	
-DeclarationsSect			// Áëîê îïèñàíèé	TODO
-	: VarDeclarationsSect {
-		$$ = $1;
-	}
-	| ConstDeclarationsSect	{
-		$$ = $1;
-	}	
-	| TypeDeclarationsSect {
-		$$ = $1;
-	}
-	| ProcedureDeclarationSect {
-		$$ = $1;
-	}	
-	;
-	
-Declarations 				// Ñïèñîê áëîêîâ îïèñàíèé
-	: {
-	  $$ = new declarations();
-	}
-	| Declarations DeclarationsSect {
-		if ($2 != null)
-			$1.Add($2);
-		$$ = $1;
-		$$.source_context = @$;			// Íåîáõîäèìî ïîêàçàòü ìåñòî â ïðîãðàììå, ò.ê. íåÿâíî ýòî íå ñäåëàíî
-										// (íàïðèìåð, â êîíñòðóêòîðå)
-	}
-	;
-	
-ProcedureDeclarationSect
-	: PROCEDURE ident maybeformalparams maybereturn SEMICOLUMN mainblock ident SEMICOLUMN {
-	
-	}
-	;
-	
-maybeformalparams
-	: {
-		//$$ = null;
-	}
-	| LPAREN FPList RPAREN {
-		//$$ = $2;
-	}
-	;
-	
-maybereturn					// TODO
-	: {
-		
-	}
-	| COLUMN TypeDef {
-	
-	}
-	;
-	
-FPList
-	: FPSect {
-	
-	}
-	| FPList SEMICOLUMN FPSect {
-	
-	}
-	;
-	
-FPSect
-	: maybevar IDList COLON TypeDef {
-	
-	}
-	;
-	
-maybevar
-	: {
-		$$ = false;
-	}
-	| VAR {
-		$$ = true;
-	}
-	;
-%%
-
-/* 	Âîçâðàùàåò ïîñëåäîâàòåëüíîñòü îïåðàòîðîâ, ñîîòâåòñâóþùóþ
-	öèêëó for, ìîäåëèðóåìîìó ÷åðåç while */
-public static statement_list GetForThroughWhile(ident id, expression expr, expression endExpr, statement_list stmnts,
-		expression step, SourceContext assignSC, SourceContext wholeSC){
-	// Áóäåì ìîäåëèðîâàòü öèêë ÷åðåç while
-	statement_list forStmnt = new statement_list();
-	ident endFor = new ident("_oberon_for_end_");
-	forStmnt.Add(new var_statement(new var_def_statement(
-		new ident_list("_oberon_for_end_"),
-		new named_type_reference("integer", null),
-		endExpr,
-		definition_attribute.None,
-		false))
-	);
-	forStmnt.Add( new assign(id, expr, Operators.Assignment, assignSC) );
-	statement_list posStatementList = new statement_list();		// ïðè ïîëîæèòåëüíîì øàãå
-		posStatementList.Add(stmnts);
-		posStatementList.Add( new assign(id, step, Operators.AssignmentAddition) );
-	while_node posWhile = new while_node(
-		new bin_expr(id, endFor, Operators.LessEqual),
-		posStatementList,
-		WhileCycleType.While);
-	statement_list negStatementList = new statement_list();		// ïðè îòðèöàòåëüíîì øàãå
-		negStatementList.Add(stmnts);
-		negStatementList.Add( new assign(id, step, Operators.AssignmentAddition) );
-	while_node negWhile = new while_node(
-		new bin_expr(id, endFor, Operators.GreaterEqual),
-		negStatementList,
-		WhileCycleType.While);
-	forStmnt.Add( new if_node(
-		new bin_expr(step, new int32_const(0), Operators.Greater),
-		posWhile,
-		negWhile, 
-		wholeSC));
-	return forStmnt;
-}
-
-/* 	Âîçâðàùàåò ìíîãîìåðíûé ìàññèâ, â êîòîðîì ïðè íåîáõîäèìîñòè
-	ìàññèâ ñèìâîëîâ çàìåíåí íà ñòðîêó */	
-public static type_definition GetArrWithStrInsteadCharArr(indexers_types lenList,
-		SourceContext lenListSC, SourceContext wholeSC){
-	List<type_definition> indxrs = lenList.indexers;
-	diapason dp = indxrs[indxrs.Count - 1] as diapason;
-	int32_const len = new int32_const();
-	len.val = (dp.right as int32_const).val + 1;
-	type_definition result = new string_num_definition(len, new ident("string", lenListSC), wholeSC);
-	if (indxrs.Count > 1) {			// íàäî äåëàòü ìàññèâ ìàññèâîâ ... ñòðîê
-		indxrs.RemoveAt(indxrs.Count - 1);
-		result = new array_type(lenList, result, wholeSC); 
-	}
-	return result;
-}
-
-/* 	Âîçâðàùàåò äèàïàçîí 0..Length-1, ïîëó÷åííûé ïî îáåðîíîâñêîé äëèíå
-	ìàññèâà, è íåîáõîäèìûé äëÿ ïàñêàëåâñêîãî ñèíòàêñè÷åñêîãî óçëà */	
-public static diapason GetDiapasonByArrLength(expression lenExpr, SourceContext lenSC){
-	int32_const zero = new int32_const();
-	zero.val = 0;
-	int32_const max = (int32_const)lenExpr;
-	max.val = max.val - 1;
-	return new diapason(zero, max, lenSC);
-}
-// ==========================================================================
-
diff --git a/Grammars/Oberon10Independent (by Juliet)/oberon00.y b/Grammars/Oberon10Independent (by Juliet)/oberon00.y
deleted file mode 100644
index 3bd09fd26..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/oberon00.y	
+++ /dev/null
@@ -1,892 +0,0 @@
-%{
-// ��� ���������� ����������� � ����� GPPGParser, �������������� ����� ������, ������������ �������� gppg
-    public syntax_tree_node root; // �������� ���� ��������������� ������ 
-    public GPPGParser(AbstractScanner<ValueType, LexLocation> scanner) : base(scanner) { }
-%}
-
-%output=oberon00yacc.cs 
-
-%parsertype GPPGParser
-
-%union  
-	{ 
-		public bool bVal;  
-		public string sVal; 
-		public int iVal; 
-		public long lVal;								// ������� �����
-		public char cVal;
-		public double rVal;
-		public pascal_set_constant sc;					// ��������� - ���������
-		public named_type_reference ntr;				// ����������� ����������� ����
-		public type_definition tdef;					// ��� ���		
-		public diapason dpsn;							// ��� ��������
-		public array_type arrt;							// ��� ������
-		public class_definition cldef;					// ����������� ������
-		public indexers_types indts;					// ��� ���� �������� �������
-		public ref_type rft;							// ��� ���������
-		public ident_list il;							// ������ ���������������
-		public ident id;								// �������������
-		public oberon_ident_with_export_marker obrid;	// ������������ ���������� �������������
-		public oberon_export_marker obrem;				// ������������ ���������� �����
-		public var_def_statement vds;					// �������� ����������
-		public variable_definitions vdss;				// ������ �������� ����������
-		public type_declarations td;					// ������ ����������� �����
-		public type_declaration tdec;					// �������� ����
-		public expression ex;							// ���������
-		public expression_list el;						// ������ ���������
-		public Operators ops;							// ��������� (��������)
-		public block bl;								// ����������� ����
-		public statement st;							// �������� �����������
-		public statement_list sl;						// ������ ����������
-		public case_variants cvars;						// ������ ��������� ��������� CASE
-		public case_variant cvar;							// ������� ��������� CASE
-		public declaration decsec;						// ��������
-		public declarations decl;						// ������ ��������
-		public simple_const_definition scd;				// ����������� ���������
-		public consts_definitions_list cdl;				// ������ �������� ��������		
-		public procedure_definition pd;					// �������� ���������
-		public dot_node dn;								// ���� � �������� �������
-		public addressed_value adrv;					// ������������ ��������		
-	}
-
-%using PascalABCCompiler.SyntaxTree
-%using PascalABCCompiler.Errors
-%using PascalABCCompiler.Oberon00Parser
-
-%namespace GPPGParserScanner
-
-%start module											// ��������� ������ - ����������� ������
-
-%token <sVal> ID STRING_CONST
-%token <iVal> INTNUM 
-%token <rVal> REALNUM
-%token <lVal> LONGINTNUM
-%token <bVal> TRUE FALSE
-%token <cVal> CHAR_CONST
-%token <op> PLUS MINUS MULT DIVIDE AND OR LT GT LE GE EQ NE DIV MOD
-%token NOT 
-%token ASSIGN SEMICOLUMN LPAREN RPAREN COLUMN COMMA COLON EXCLAMATION 
-%token LBRACE RBRACE DOUBLEPOINT LBRACKET RBRACKET PIPE
-%token TRUE FALSE
-%token IF THEN ELSE ELSEIF BEGIN END WHILE DO MODULE CONST VAR TYPE
-%token INVISIBLE
-%token PROCEDURE ARRAY OF RECORD REPEAT UNTIL FOR TO BY CASE POINTER
-%token ODD
-
-%type <id> ident specifiedIdent identDef
-%type <obrid> identDef
-%type <obrem> ExportLabel
-%type <il> IDList
-%type <ntr> complexTypeIdent
-%type <sc> SetConstant SetElemList 
-%type <ex> expr ConstExpr SetElem  SimpleExpr ForStep CaseVariantLabels
-%type <ex> term signedTerm factor AddList FactorList 
-%type <st> Assignment IfStatement ElseIfStatements ElseStatements WhileStatement WriteStatement
-%type <st> RepeatStatement Statement ForStatement  CaseStatement ElseBranch
-%type <st> EmptyStatement ProcCallStatement
-%type <sl> StatementSequence
-%type <cvars> CaseVariantList
-%type <cvar> CaseVariant
-%type <decl> Declarations
-%type <decsec> DeclarationsSect
-%type <vds> VarDecl
-%type <vdss> VarDeclarations VarDeclarationsSect
-%type <scd> ConstDecl
-%type <cdl> ConstDeclarations ConstDeclarationsSect
-%type <td> TypeDeclarationsSect TypeDeclarations
-%type <tdec> TypeDecl
-%type <tdef> TypeDef ArrayType
-%type <rft> PointerType
-%type <cldef> RecordType
-%type <pd> ProcedureDeclarationSect
-%type <bl> mainblock
-%type <el> factparams ExprList CaseVariantLabelList
-%type <dpsn> Length
-%type <indts> LengthList
-%type <ops> AddOperator MultOperator Relation
-%type <adrv> specifiedIdent ComplexDesignator Designator
-%type <bVal> maybevar
-
-%left LT GT LE GE EQ NE
-%left PLUS MINUS OR
-%left MULT DIVIDE AND 
-%left NOT
-%left UMINUS UPLUS
-
-%%
-
-module  			// ����������� ������
-	: MODULE ident SEMICOLUMN mainblock ident COMMA 
-    {
-		if ($2.name != $5.name)
-			PT.AddError("��� " + $5.name + " ������ ��������� � ������ ������ " + $2.name, @5);
-		
-		// ����������� ������������ ������ Oberon00System, ����������� �� PascalABC.NET
-		var ul = new uses_list("Oberon00System");
-		
-		// ������������ ������ �������� ��������� (������������ ��������� ����� ������ ������������)
-		root = program_module.create($2, ul, $4, @$);
-    }
-	| INVISIBLE expr { // ��� Intellisense
-		root = $2;
-	}
-    ;
-	
-ident 				// �������������
-	: ID {
-		$$ = new ident($1,@$); 
-	}
-	;
-	
-specifiedIdent		// ���������� �������������
-	: ident COMMA ident {
-		$$ = new dot_node($1, $3, @$);
-	}
-	| ident {
-		$$ = $1;
-	}
-	;
-	
-identDef			// ������������ ������������� (�������� ���������� �����) TODO
-	: ident ExportLabel {
-		$$ = new oberon_ident_with_export_marker($1.name, $2, @$);
-	}
-	;
-	
-ExportLabel			// ���������� ����� TODO
-	: MULT {
-		$$ = oberon_export_marker.export;
-	}
-	| MINUS {
-		$$ = oberon_export_marker.export_readonly;
-	}
-	| {
-		//$$ = oberon_export_marker.nonexport;
-		$$ = oberon_export_marker.export;
-	}
-	;
-	
-mainblock			// ����������� ����
-	: Declarations BEGIN StatementSequence END
-	{
-		$$ = new block($1, $3, @$);
-	}
-	;
-	
-SetConstant			// ���������-��������� ��������� TODO
-	: LBRACE SetElemList RBRACE {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-	
-SetElemList			// ������ ��������� ��������� TODO
-	: SetElem {
-		$$ = new pascal_set_constant();
-		$$.Add($1);
-		$$.source_context = @$;
-		
-	}
-	| SetElemList COLUMN SetElem {
-		$$ = $1;
-		$$.Add($3);
-		$$.source_context = @$;
-	}
-	| {
-		$$ = new pascal_set_constant();
-	}
-	;
-
-SetElem				// ������� ��������� TODO
-	: expr
-	| expr DOUBLEPOINT expr {
-		$$ = new diapason_expr($1, $3, @$);
-	}
-	;
-
-expr 				// ���������
-	: SimpleExpr {
-		$$ = $1;
-	}
-	| SimpleExpr Relation SimpleExpr {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-Relation			// ���������
-	: EQ {
-		$$ = Operators.Equal;
-	}
-	| NE {
-		$$ = Operators.NotEqual;
-	}
-	| LT {
-		$$ = Operators.Less;
-	}
-	| LE {
-		$$ = Operators.LessEqual;
-	}
-	| GT {
-		$$ = Operators.Greater;
-	}
-	| GE {
-		$$ = Operators.GreaterEqual;
-	}
-	;
-
-SimpleExpr			// ������� ���������
-	: signedTerm {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	| signedTerm AddOperator AddList {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-signedTerm			// ��������� �� ������ 
-	: term 
-	| MINUS term %prec UMINUS {
-		$$ = new un_expr($2, Operators.Minus, @$);
-	}
-	| PLUS term %prec UPLUS {
-		$$ = new un_expr($2, Operators.Plus, @$);
-	}
-	;
-	
-AddList				// ������ �� ����������
-	: term 
-	| AddList AddOperator term {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-term				// ���������
-	: factor 	
-	| factor MultOperator FactorList {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-FactorList			// ������ �� ����������� 
-	: factor 
-	| FactorList MultOperator factor {
-		$$ = new bin_expr($1, $3, $2, @$);
-	}
-	;
-	
-factor				// ��������� 
-	: Designator {
-		$$ = $1;
-	}
-	| INTNUM { 
-		$$ = new int32_const($1,@$); 		
-	}
-	| LONGINTNUM{
-		$$ = new int64_const($1, @$); 		
-	}
-	| REALNUM {
-		$$ = new double_const($1, @$);
-	}
-	| TRUE {
-		$$ = new bool_const(true,@$);
-	}
-	| FALSE {
-		$$ = new bool_const(false,@$);
-	}
-	| CHAR_CONST {
-		$$ = new char_const($1, @$);
-	}
-	| STRING_CONST {
-		$$ = new string_const($1, @$);
-	}
-	| LPAREN expr RPAREN { 
-		$$ = $2;
-	}
-	| NOT factor {
-		$$ = new un_expr($2,Operators.LogicalNOT,@$);
-	}	
-	| SetConstant
-	;
-	
-Designator					// ����������� (��������� � ������� �������, ...) TODO
-	: specifiedIdent {
-		$$ = $1;
-	}
-	| ComplexDesignator {
-		$$ = $1;
-	}
-	;
-	
-ComplexDesignator			// ��������� ����������� TODO
-	: specifiedIdent COMMA ident {
-		$$ = new dot_node($1, $3, @$);
-	}
-	| specifiedIdent LBRACKET ExprList RBRACKET {
-		indexer indxr = new indexer();
-		indxr.dereferencing_value = $1;
-		indxr.indexes = $3;
-		$$ = indxr;
-		$$.source_context = @$;
-	}
-	| ComplexDesignator COMMA ident {
-		$$ = new dot_node($1, $3, @$);
-	}
-	| ComplexDesignator LBRACKET ExprList RBRACKET {
-		indexer indxr = new indexer();
-		indxr.dereferencing_value = $1;
-		indxr.indexes = $3;
-		$$ = indxr;
-		$$.source_context = @$;
-	}
-	;
-	
-ExprList					// ������ ���������
-	: expr {
-		$$ = new expression_list($1, @$);
-	}
-	| ExprList COLUMN expr {
-		$$ = $1;
-		$$.Add($3, @3);
-		$$.source_context = @$;
-	}
-	;
-	
-AddOperator  		// �������� ��������
-	: MINUS {
-		$$ = Operators.Minus;
-	}
-	| PLUS {
-		$$ = Operators.Plus;
-	}
-	| OR {
-		$$ = Operators.LogicalOR;
-	}
-	;
-	
-MultOperator  		// �������� ��������� 
-	: MULT {
-		$$ = Operators.Multiplication;
-	}
-	| DIVIDE {
-		$$ = Operators.Division;
-	}
-	| DIV {
-		$$ = Operators.IntegerDivision;
-	}
-	| MOD {
-		$$ = Operators.ModulusRemainder;
-	}
-	| AND {
-		$$ = Operators.LogicalAND;
-	}
-	;
-	
-Statement 					// �������� TODO
-	: Assignment
-	| IfStatement
-	| WhileStatement
-	| RepeatStatement
-	| ForStatement
-	| CaseStatement
-	| WriteStatement
-	| ProcCallStatement
-	| EmptyStatement
-	;
-
-StatementSequence 			// ������������������ (����) ����������
-	: Statement {
-		$$ = new statement_list($1,@$);
-	}
-	| StatementSequence SEMICOLUMN Statement {
-		$1.Add($3,@$);
-		$$ = $1;
-	}
-	;
-
-Assignment 					// ������������
-	: Designator ASSIGN expr {
-		$$ = new assign($1, $3, Operators.Assignment, @$);
-	}
-	;
-
-IfStatement 				// �������� ��������
-	: IF expr THEN StatementSequence ElseStatements END {
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	| IF expr THEN StatementSequence ElseIfStatements END {
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	;
-
-ElseStatements				// Else-����� ��������� ��������� 
-	: ELSE StatementSequence {
-		$$ = $2;
-		$$.source_context = @$;
-	} 
-	| {
-		$$ = null;
-	}
-	;
-	
-ElseIfStatements			// ElseIf-����� ��������� ���������
-	: ELSEIF expr THEN StatementSequence ElseStatements {
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	| ELSEIF expr THEN StatementSequence ElseIfStatements{
-		$$ = new if_node($2, $4, $5, @$);
-	}
-	;
-
-WhileStatement 				// ���� � ������������ 
-	: WHILE expr DO StatementSequence END {
-		$$ = new while_node($2, $4, WhileCycleType.While, @$);
-	}
-	;
-	
-RepeatStatement				// ���� � ������������ 
-	: REPEAT StatementSequence UNTIL expr {
-		$$ = new repeat_node($2, $4, @$);
-	}
-	;
-	
-ForStatement				// ����
-	: FOR ident ASSIGN expr TO expr ForStep DO StatementSequence END {
-		expression step;
-		if ($7 != null) 	step = $7;
-		else 				step = new int32_const(1, @7);
-		// ����� ������������ ���� ����� while
-		statement_list forStmnt = GetForThroughWhile($2, $4, $6, $9, step, @3, @$);
-		$$ = forStmnt;
-		$$.source_context = @$;
-	}
-	;
-	
-ForStep						// ��� �����
-	: BY ConstExpr {
-		int32_const step32 = $2 as int32_const;
-		if (step32 != null) {	// ��� �������� ������ ����� ������ (��� �����)
-			if (step32.val == 0)	PT.AddError("��� ����� �� ����� ���� �������", @1);
-			else					$$ = new int32_const(step32.val, @$);
-		}
-		else {					// � �������� ���� ���� ������������ ����, ���� ��� ������ �� �����
-			un_expr stepMinus = $2 as un_expr;
-			int32_const stepMinusTerm = stepMinus.subnode as int32_const;
-			bool signMinus = (stepMinusTerm != null) &&	(stepMinus.operation_type == Operators.Minus);
-			if (signMinus)
-				if (stepMinusTerm.val == 0)
-					PT.AddError("��� ����� �� ����� ���� �������", @1);
-				else	
-					$$ = new un_expr(stepMinusTerm, Operators.Minus, @2);
-			else
-				PT.AddError("��� ����� ������ ���� ����� ������", @1);
-		}
-	}
-	| {
-		$$ = null;
-	}
-	;
-	
-CaseStatement				// �������� ������ 
-	: CASE expr OF CaseVariantList ElseBranch END {
-		$$ = new case_node($2, $4, $5, @$);
-	}
-	;
-	
-CaseVariantList				// ������ ��������� ��������� CASE 
-	: CaseVariant {
-		$$ = new case_variants();
-		$$.Add($1);
-		$$.source_context = @$;
-	}
-	| CaseVariantList PIPE CaseVariant {
-		$$ = $1;
-		$$.Add($3);
-		$$.source_context = @$;
-	}
-	| {
-		$$ = new case_variants();
-	}
-	;
-	
-CaseVariant					// ������� ��������� CASE 
-	: CaseVariantLabelList COLON StatementSequence {
-		$$ = new case_variant($1, $3, @$);
-	}
-	;
-	
-CaseVariantLabelList		// ������ ����� ��������
-	: CaseVariantLabels {
-		$$ = new expression_list($1, @$);
-	}
-	| CaseVariantLabelList COLUMN CaseVariantLabels {
-		$$ = $1;
-		$$.Add($3, @3);
-		$$.source_context = @$;
-	}
-	;
-	
-CaseVariantLabels			// ����� �������� 
-	: ConstExpr {
-		$$ = $1;
-	}
-	| ConstExpr DOUBLEPOINT ConstExpr {
-		$$ = new diapason_expr($1, $3, @$);
-	}
-	;
-	
-ElseBranch					// ����� ELSE ��������� CASE 
-	: ELSE StatementSequence {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	| {
-		$$ = null;
-	}
-	;
-
-WriteStatement 
-	: EXCLAMATION expr {
-		expression_list el = new expression_list($2,@$);
-		method_call mc = new method_call(el);
-		mc.dereferencing_value = new ident("print");
-		$$ = mc;
-	}
-	;
-	
-factparams
-	: expr {
-		$$ = new expression_list($1,@$);
-	}
-	| factparams COLUMN expr {
-		$1.Add($3,@$);
-		$$ = $1;
-	}
-	;
-	
-ProcCallStatement
-	: ident LPAREN factparams RPAREN {
-		$$ = new method_call($1,$3,@$);
-	}
-	;
-	
-EmptyStatement				// ������ ��������
-	: {
-		$$ = new empty_statement();		
-	}
-	;
-
-IDList 						// ������ ���������������
-	: identDef {
-		$$=new ident_list($1,@$);
-		
-	}
-	| IDList COLUMN identDef {
-		$1.Add($3,@$);
-		$$ = $1;
-	}
-	;
-
-VarDecl 					// �������� ���������� ������ ����
-	: IDList COLON TypeDef SEMICOLUMN {
-		$$  = new var_def_statement($1, $3, null, definition_attribute.None, false, @$);
-	}
-	;
-
-VarDeclarations 			// ������ �������� ����������
-	: VarDecl {
-		$$ = new variable_definitions($1,@$);
-	}
-	| VarDeclarations VarDecl {
-		$1.Add($2,@$);
-		$$ = $1;
-	}
-	;
-
-	
-ConstDecl 					// �������� ����� ���������
-	: identDef EQ ConstExpr SEMICOLUMN {
-		$$ = new simple_const_definition($1,$3,@$);
-	}
-	;
-
-ConstExpr 					// ����������� ���������
-	: expr 
-	;
-	
-ConstDeclarations 			// ������ �������� ��������
-	: ConstDecl {
-		$$ = new consts_definitions_list($1,@$);
-	}
-	| ConstDeclarations ConstDecl {
-		$1.Add($2,@$); 
-		$$ = $1;
-	}
-	;
-	
-ConstDeclarationsSect 		// ���� �������� ��������
-	: CONST ConstDeclarations {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-
-VarDeclarationsSect 		// ���� �������� ����������
-	: VAR VarDeclarations {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-	
-TypeDeclarationsSect		// ���� ����������� ����� �����
-	: TYPE TypeDeclarations {
-		$$ = $2;
-		$$.source_context = @$;
-	}
-	;
-	
-TypeDeclarations			// ������ ����������� �����
-	: TypeDecl {
-		$$ = new  type_declarations();
-		$$.Add($1);
-		$$.source_context = @$;
-	}
-	| TypeDeclarations TypeDecl {
-		$$ = $1;
-		$$.Add($2);
-		$$.source_context = @$;
-	}
-	;
-	
-TypeDecl 					// ����������� ����
-	: identDef EQ TypeDef SEMICOLUMN {
-		$$ = new type_declaration($1, $3, @$);
-	}
-	;
-	
-TypeDef						// ��� TODO
-	: complexTypeIdent {
-		$$ = $1;
-	}
-	| ArrayType {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	| RecordType {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	| PointerType {
-		$$ = $1;
-		$$.source_context = @$;
-	}
-	;
-	
-ArrayType					// ��� ������ TODO
-	: ARRAY OF TypeDef {
-		// �������� ������
-		diapason dp = new diapason(new int32_const(0), new int32_const(0));
-		indexers_types inxr = new indexers_types();
-		inxr.Add(dp);
-		$$ = new array_type(inxr, $3, @$);
-	}
-	| ARRAY LengthList OF TypeDef {
-		// ����� ������ array n of char, ����� �������� �� ������
-		named_type_reference ntr = $4 as named_type_reference;
-		bool complexArr = 	(ntr != null) && (ntr.names.Count == 1) && 
-							(ntr.names[0].name == "char");
-		if (complexArr) 
-			$$ = GetArrWithStrInsteadCharArr($2, @2, @$);
-		else
-			$$ = new array_type($2, $4, @$); 
-	}
-	;
-	
-RecordType					// ������ TODO
-	: RECORD END COLUMN {
-	
-	}
-	;
-	
-LengthList					// ������ �������� �������
-	: Length {
-		$$ = new indexers_types();
-		$$.source_context = @$;
-		$$.Add($1);
-	}
-	| LengthList COLUMN Length {
-		$$ = $1;
-		$$.source_context = @$;
-		$$.Add($3);
-	}
-	;
-	
-Length 						// ����� �������
-	: ConstExpr {
-		// � ������� � ������� ����������� ������������� �����
-		// ������� ���� ���������, ��� ��������� ��������� � ������ ����
-		object[] types = {$1};
-		bool isLength = typeof(int32_const) == System.Type.GetTypeArray(types)[0];
-		if (isLength)	
-			$$ = GetDiapasonByArrLength($1, @$);
-		else
-			PT.AddError("����� ������ ���� ����� ������", @1);
-	}
-	;
-
-PointerType					// ��� ���������
-	: POINTER TO TypeDef {
-		$$ = new ref_type($3, @$);
-	}
-	;
-	
-complexTypeIdent			// ��������� ������������� ���� (id1.id2.id3)
-	: ident {
-		$$ = new named_type_reference(PT.InternalTypeName($1.name), @$);
-	}
-	| complexTypeIdent COMMA ident {
-		$$ = $1;
-		$$.Add(PT.InternalTypeName($3.name));
-		$$.source_context = @$;
-	}
-	;
-	
-DeclarationsSect			// ���� ��������	TODO
-	: VarDeclarationsSect {
-		$$ = $1;
-	}
-	| ConstDeclarationsSect	{
-		$$ = $1;
-	}	
-	| TypeDeclarationsSect {
-		$$ = $1;
-	}
-	| ProcedureDeclarationSect {
-		$$ = $1;
-	}	
-	;
-	
-Declarations 				// ������ ������ ��������
-	: {
-	  $$ = new declarations();
-	}
-	| Declarations DeclarationsSect {
-		if ($2 != null)
-			$1.Add($2);
-		$$ = $1;
-		$$.source_context = @$;			// ���������� �������� ����� � ���������, �.�. ������ ��� �� �������
-										// (��������, � ������������)
-	}
-	;
-	
-ProcedureDeclarationSect
-	: PROCEDURE ident maybeformalparams maybereturn SEMICOLUMN mainblock ident SEMICOLUMN {
-	
-	}
-	;
-	
-maybeformalparams
-	: {
-		//$$ = null;
-	}
-	| LPAREN FPList RPAREN {
-		//$$ = $2;
-	}
-	;
-	
-maybereturn					// TODO
-	: {
-		
-	}
-	| COLUMN TypeDef {
-	
-	}
-	;
-	
-FPList
-	: FPSect {
-	
-	}
-	| FPList SEMICOLUMN FPSect {
-	
-	}
-	;
-	
-FPSect
-	: maybevar IDList COLON TypeDef {
-	
-	}
-	;
-	
-maybevar
-	: {
-		$$ = false;
-	}
-	| VAR {
-		$$ = true;
-	}
-	;
-%%
-
-/* 	���������� ������������������ ����������, ��������������
-	����� for, ������������� ����� while */
-public static statement_list GetForThroughWhile(ident id, expression expr, expression endExpr, statement_list stmnts,
-		expression step, SourceContext assignSC, SourceContext wholeSC){
-	// ����� ������������ ���� ����� while
-	statement_list forStmnt = new statement_list();
-	ident endFor = new ident("_oberon_for_end_");
-	forStmnt.Add(new var_statement(new var_def_statement(
-		new ident_list("_oberon_for_end_"),
-		new named_type_reference("integer", null),
-		endExpr,
-		definition_attribute.None,
-		false))
-	);
-	forStmnt.Add( new assign(id, expr, Operators.Assignment, assignSC) );
-	statement_list posStatementList = new statement_list();		// ��� ������������� ����
-		posStatementList.Add(stmnts);
-		posStatementList.Add( new assign(id, step, Operators.AssignmentAddition) );
-	while_node posWhile = new while_node(
-		new bin_expr(id, endFor, Operators.LessEqual),
-		posStatementList,
-		WhileCycleType.While);
-	statement_list negStatementList = new statement_list();		// ��� ������������� ����
-		negStatementList.Add(stmnts);
-		negStatementList.Add( new assign(id, step, Operators.AssignmentAddition) );
-	while_node negWhile = new while_node(
-		new bin_expr(id, endFor, Operators.GreaterEqual),
-		negStatementList,
-		WhileCycleType.While);
-	forStmnt.Add( new if_node(
-		new bin_expr(step, new int32_const(0), Operators.Greater),
-		posWhile,
-		negWhile, 
-		wholeSC));
-	return forStmnt;
-}
-
-/* 	���������� ����������� ������, � ������� ��� �������������
-	������ �������� ������� �� ������ */	
-public static type_definition GetArrWithStrInsteadCharArr(indexers_types lenList,
-		SourceContext lenListSC, SourceContext wholeSC){
-	List<type_definition> indxrs = lenList.indexers;
-	diapason dp = indxrs[indxrs.Count - 1] as diapason;
-	int32_const len = new int32_const();
-	len.val = (dp.right as int32_const).val + 1;
-	type_definition result = new string_num_definition(len, new ident("string", lenListSC), wholeSC);
-	if (indxrs.Count > 1) {			// ���� ������ ������ �������� ... �����
-		indxrs.RemoveAt(indxrs.Count - 1);
-		result = new array_type(lenList, result, wholeSC); 
-	}
-	return result;
-}
-
-/* 	���������� �������� 0..Length-1, ���������� �� ������������ �����
-	�������, � ����������� ��� ������������� ��������������� ���� */	
-public static diapason GetDiapasonByArrLength(expression lenExpr, SourceContext lenSC){
-	int32_const zero = new int32_const();
-	zero.val = 0;
-	int32_const max = (int32_const)lenExpr;
-	max.val = max.val - 1;
-	return new diapason(zero, max, lenSC);
-}
diff --git a/Grammars/Oberon10Independent (by Juliet)/oberon00yacc.cs b/Grammars/Oberon10Independent (by Juliet)/oberon00yacc.cs
deleted file mode 100644
index 715a644b1..000000000
--- a/Grammars/Oberon10Independent (by Juliet)/oberon00yacc.cs	
+++ /dev/null
@@ -1,1353 +0,0 @@
-// This code was generated by the Gardens Point Parser Generator
-// Copyright (c) Wayne Kelly, QUT 2005-2010
-// (see accompanying GPPGcopyright.rtf)
-
-// GPPG version 1.3.6
-// Machine:  SSM
-// DateTime: 13.03.2013 16:51:39
-// UserName: ?????????
-// Input file <oberon00.y>
-
-// options: no-lines gplex
-
-using System;
-using System.Collections.Generic;
-using System.Globalization;
-using System.Text;
-using QUT.Gppg;
-using PascalABCCompiler.SyntaxTree;
-using PascalABCCompiler.Errors;
-using PascalABCCompiler.Oberon00Parser;
-
-namespace GPPGParserScanner
-{
-public enum Tokens {
-    error=1,EOF=2,ID=3,STRING_CONST=4,INTNUM=5,REALNUM=6,
-    LONGINTNUM=7,TRUE=8,FALSE=9,CHAR_CONST=10,PLUS=11,MINUS=12,
-    MULT=13,DIVIDE=14,AND=15,OR=16,LT=17,GT=18,
-    LE=19,GE=20,EQ=21,NE=22,DIV=23,MOD=24,
-    NOT=25,ASSIGN=26,SEMICOLUMN=27,LPAREN=28,RPAREN=29,COLUMN=30,
-    COMMA=31,COLON=32,EXCLAMATION=33,LBRACE=34,RBRACE=35,DOUBLEPOINT=36,
-    LBRACKET=37,RBRACKET=38,PIPE=39,IF=40,THEN=41,ELSE=42,
-    ELSEIF=43,BEGIN=44,END=45,WHILE=46,DO=47,MODULE=48,
-    CONST=49,VAR=50,TYPE=51,INVISIBLE=52,PROCEDURE=53,ARRAY=54,
-    OF=55,RECORD=56,REPEAT=57,UNTIL=58,FOR=59,TO=60,
-    BY=61,CASE=62,POINTER=63,ODD=64,UMINUS=65,UPLUS=66};
-
-public struct ValueType
-{ 
-		public bool bVal;  
-		public string sVal; 
-		public int iVal; 
-		public long lVal;								// Длинное целое
-		public char cVal;
-		public double rVal;
-		public pascal_set_constant sc;					// Константа - множество
-		public named_type_reference ntr;				// Именованное определение типа
-		public type_definition tdef;					// Сам тип		
-		public diapason dpsn;							// Тип диапазон
-		public array_type arrt;							// Тип массив
-		public class_definition cldef;					// Определение записи
-		public indexers_types indts;					// Тип типы индексов массива
-		public ref_type rft;							// Тип указатель
-		public ident_list il;							// Список идентификаторов
-		public ident id;								// Идентификатор
-		public oberon_ident_with_export_marker obrid;	// Обероновский уточненный идентификатор
-		public oberon_export_marker obrem;				// Обероновская экспортная метка
-		public var_def_statement vds;					// Описание переменных
-		public variable_definitions vdss;				// Секция описания переменных
-		public type_declarations td;					// Секция определения типов
-		public type_declaration tdec;					// Описание типа
-		public expression ex;							// Выражение
-		public expression_list el;						// Список выражений
-		public Operators ops;							// Операторы (операции)
-		public block bl;								// Программный блок
-		public statement st;							// Оператор программный
-		public statement_list sl;						// Список операторов
-		public case_variants cvars;						// Список вариантов оператора CASE
-		public case_variant cvar;							// Вариант оператора CASE
-		public declaration decsec;						// Описание
-		public declarations decl;						// Список описаний
-		public simple_const_definition scd;				// Определение константы
-		public consts_definitions_list cdl;				// Список описаний констант		
-		public procedure_definition pd;					// Описание процедуры
-		public dot_node dn;								// Узел в точечной нотации
-		public addressed_value adrv;					// Адресованное значение		
-	}
-// Abstract base class for GPLEX scanners
-public abstract class ScanBase : AbstractScanner<ValueType,LexLocation> {
-  private LexLocation __yylloc = new LexLocation();
-  public override LexLocation yylloc { get { return __yylloc; } set { __yylloc = value; } }
-  protected virtual bool yywrap() { return true; }
-}
-
-public class GPPGParser: ShiftReduceParser<ValueType, LexLocation>
-{
-  // Verbatim content from oberon00.y
-// Эти объявления добавляются в класс GPPGParser, представляющий собой парсер, генерируемый системой gppg
-    public syntax_tree_node root; // Корневой узел синтаксического дерева 
-    public GPPGParser(AbstractScanner<ValueType, LexLocation> scanner) : base(scanner) { }
-  // End verbatim content from oberon00.y
-
-#pragma warning disable 649
-  private static Dictionary<int, string> aliasses;
-#pragma warning restore 649
-  private static Rule[] rules = new Rule[147];
-  private static State[] states = new State[253];
-  private static string[] nonTerms = new string[] {
-      "module", "ident", "specifiedIdent", "identDef", "ExportLabel", "IDList", 
-      "complexTypeIdent", "SetConstant", "SetElemList", "expr", "ConstExpr", 
-      "SetElem", "SimpleExpr", "ForStep", "CaseVariantLabels", "term", "signedTerm", 
-      "factor", "AddList", "FactorList", "Assignment", "IfStatement", "ElseIfStatements", 
-      "ElseStatements", "WhileStatement", "WriteStatement", "RepeatStatement", 
-      "Statement", "ForStatement", "CaseStatement", "ElseBranch", "EmptyStatement", 
-      "ProcCallStatement", "StatementSequence", "CaseVariantList", "CaseVariant", 
-      "Declarations", "DeclarationsSect", "VarDecl", "VarDeclarations", "VarDeclarationsSect", 
-      "ConstDecl", "ConstDeclarations", "ConstDeclarationsSect", "TypeDeclarationsSect", 
-      "TypeDeclarations", "TypeDecl", "TypeDef", "ArrayType", "PointerType", 
-      "RecordType", "ProcedureDeclarationSect", "mainblock", "factparams", "ExprList", 
-      "CaseVariantLabelList", "Length", "LengthList", "AddOperator", "MultOperator", 
-      "Relation", "ComplexDesignator", "Designator", "maybevar", "$accept", "maybeformalparams", 
-      "maybereturn", "FPList", "FPSect", };
-
-  static GPPGParser() {
-    states[0] = new State(new int[]{48,3,52,251},new int[]{-1,1});
-    states[1] = new State(new int[]{2,2});
-    states[2] = new State(-1);
-    states[3] = new State(new int[]{3,9},new int[]{-2,4});
-    states[4] = new State(new int[]{27,5});
-    states[5] = new State(-135,new int[]{-53,6,-37,10});
-    states[6] = new State(new int[]{3,9},new int[]{-2,7});
-    states[7] = new State(new int[]{31,8});
-    states[8] = new State(-2);
-    states[9] = new State(-4);
-    states[10] = new State(new int[]{44,11,50,173,49,212,51,221,53,230},new int[]{-38,171,-41,172,-44,211,-45,220,-52,229});
-    states[11] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,45,-102,27,-102},new int[]{-34,12,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[12] = new State(new int[]{45,13,27,14});
-    states[13] = new State(-11);
-    states[14] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,45,-102,27,-102,42,-102,43,-102,58,-102,39,-102},new int[]{-28,15,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[15] = new State(-74);
-    states[16] = new State(-64);
-    states[17] = new State(new int[]{26,18});
-    states[18] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,19,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[19] = new State(-75);
-    states[20] = new State(new int[]{21,89,22,90,17,91,19,92,18,93,20,94,45,-18,27,-18,42,-18,43,-18,58,-18,39,-18,38,-18,30,-18,29,-18,36,-18,35,-18,41,-18,47,-18,60,-18,61,-18,55,-18,32,-18,2,-18},new int[]{-61,21});
-    states[21] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-13,22,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[22] = new State(-19);
-    states[23] = new State(new int[]{12,85,11,86,16,87,21,-26,22,-26,17,-26,19,-26,18,-26,20,-26,45,-26,27,-26,42,-26,43,-26,58,-26,39,-26,38,-26,30,-26,29,-26,36,-26,35,-26,41,-26,47,-26,60,-26,61,-26,55,-26,32,-26,2,-26},new int[]{-59,24});
-    states[24] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-19,25,-16,88,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[25] = new State(new int[]{12,85,11,86,16,87,21,-27,22,-27,17,-27,19,-27,18,-27,20,-27,45,-27,27,-27,42,-27,43,-27,58,-27,39,-27,38,-27,30,-27,29,-27,36,-27,35,-27,41,-27,47,-27,60,-27,61,-27,55,-27,32,-27,2,-27},new int[]{-59,26});
-    states[26] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-16,27,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[27] = new State(-32);
-    states[28] = new State(new int[]{13,79,14,80,23,81,24,82,15,83,12,-33,11,-33,16,-33,21,-33,22,-33,17,-33,19,-33,18,-33,20,-33,45,-33,27,-33,42,-33,43,-33,58,-33,39,-33,38,-33,30,-33,29,-33,36,-33,35,-33,41,-33,47,-33,60,-33,61,-33,55,-33,32,-33,2,-33},new int[]{-60,29});
-    states[29] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-20,30,-18,84,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[30] = new State(new int[]{13,79,14,80,23,81,24,82,15,83,12,-34,11,-34,16,-34,21,-34,22,-34,17,-34,19,-34,18,-34,20,-34,45,-34,27,-34,42,-34,43,-34,58,-34,39,-34,38,-34,30,-34,29,-34,36,-34,35,-34,41,-34,47,-34,60,-34,61,-34,55,-34,32,-34,2,-34},new int[]{-60,31});
-    states[31] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-18,32,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[32] = new State(-36);
-    states[33] = new State(-37);
-    states[34] = new State(new int[]{31,35,37,37,26,-48,13,-48,14,-48,23,-48,24,-48,15,-48,12,-48,11,-48,16,-48,21,-48,22,-48,17,-48,19,-48,18,-48,20,-48,45,-48,27,-48,42,-48,43,-48,58,-48,39,-48,38,-48,30,-48,29,-48,36,-48,35,-48,41,-48,47,-48,60,-48,61,-48,55,-48,32,-48,2,-48});
-    states[35] = new State(new int[]{3,9},new int[]{-2,36});
-    states[36] = new State(-50);
-    states[37] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-55,38,-10,52,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[38] = new State(new int[]{38,39,30,40});
-    states[39] = new State(-51);
-    states[40] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,41,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[41] = new State(-55);
-    states[42] = new State(-28);
-    states[43] = new State(new int[]{31,44,37,-6,13,-6,14,-6,23,-6,24,-6,15,-6,12,-6,11,-6,16,-6,21,-6,22,-6,17,-6,19,-6,18,-6,20,-6,45,-6,27,-6,42,-6,43,-6,58,-6,39,-6,38,-6,30,-6,29,-6,36,-6,35,-6,41,-6,47,-6,60,-6,61,-6,55,-6,32,-6,2,-6});
-    states[44] = new State(new int[]{3,9},new int[]{-2,45});
-    states[45] = new State(-5);
-    states[46] = new State(new int[]{31,47,37,49,26,-49,13,-49,14,-49,23,-49,24,-49,15,-49,12,-49,11,-49,16,-49,21,-49,22,-49,17,-49,19,-49,18,-49,20,-49,45,-49,27,-49,42,-49,43,-49,58,-49,39,-49,38,-49,30,-49,29,-49,36,-49,35,-49,41,-49,47,-49,60,-49,61,-49,55,-49,32,-49,2,-49});
-    states[47] = new State(new int[]{3,9},new int[]{-2,48});
-    states[48] = new State(-52);
-    states[49] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-55,50,-10,52,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[50] = new State(new int[]{38,51,30,40});
-    states[51] = new State(-53);
-    states[52] = new State(-54);
-    states[53] = new State(-38);
-    states[54] = new State(-39);
-    states[55] = new State(-40);
-    states[56] = new State(-41);
-    states[57] = new State(-42);
-    states[58] = new State(-43);
-    states[59] = new State(-44);
-    states[60] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,61,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[61] = new State(new int[]{29,62});
-    states[62] = new State(-45);
-    states[63] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-18,64,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[64] = new State(-46);
-    states[65] = new State(-47);
-    states[66] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76,35,-15,30,-15},new int[]{-9,67,-12,78,-10,71,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[67] = new State(new int[]{35,68,30,69});
-    states[68] = new State(-12);
-    states[69] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-12,70,-10,71,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[70] = new State(-14);
-    states[71] = new State(new int[]{36,72,35,-16,30,-16});
-    states[72] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,73,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[73] = new State(-17);
-    states[74] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-16,75,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[75] = new State(-29);
-    states[76] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66},new int[]{-16,77,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[77] = new State(-30);
-    states[78] = new State(-13);
-    states[79] = new State(-59);
-    states[80] = new State(-60);
-    states[81] = new State(-61);
-    states[82] = new State(-62);
-    states[83] = new State(-63);
-    states[84] = new State(-35);
-    states[85] = new State(-56);
-    states[86] = new State(-57);
-    states[87] = new State(-58);
-    states[88] = new State(-31);
-    states[89] = new State(-20);
-    states[90] = new State(-21);
-    states[91] = new State(-22);
-    states[92] = new State(-23);
-    states[93] = new State(-24);
-    states[94] = new State(-25);
-    states[95] = new State(new int[]{31,44,28,96,37,-6,26,-6});
-    states[96] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-54,97,-10,101,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[97] = new State(new int[]{29,98,30,99});
-    states[98] = new State(-101);
-    states[99] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,100,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[100] = new State(-100);
-    states[101] = new State(-99);
-    states[102] = new State(-65);
-    states[103] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,104,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[104] = new State(new int[]{41,105});
-    states[105] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,27,-102,42,-102,43,-102,45,-102},new int[]{-34,106,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[106] = new State(new int[]{27,14,42,111,43,165,45,-79},new int[]{-24,107,-23,109});
-    states[107] = new State(new int[]{45,108});
-    states[108] = new State(-76);
-    states[109] = new State(new int[]{45,110});
-    states[110] = new State(-77);
-    states[111] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,27,-102,45,-102},new int[]{-34,112,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[112] = new State(new int[]{27,14,45,-78});
-    states[113] = new State(-73);
-    states[114] = new State(-66);
-    states[115] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,116,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[116] = new State(new int[]{47,117});
-    states[117] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,45,-102,27,-102},new int[]{-34,118,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[118] = new State(new int[]{45,119,27,14});
-    states[119] = new State(-82);
-    states[120] = new State(-67);
-    states[121] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,58,-102,27,-102},new int[]{-34,122,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[122] = new State(new int[]{58,123,27,14});
-    states[123] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,124,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[124] = new State(-83);
-    states[125] = new State(-68);
-    states[126] = new State(new int[]{3,9},new int[]{-2,127});
-    states[127] = new State(new int[]{26,128});
-    states[128] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,129,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[129] = new State(new int[]{60,130});
-    states[130] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,131,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[131] = new State(new int[]{61,163,47,-86},new int[]{-14,132});
-    states[132] = new State(new int[]{47,133});
-    states[133] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,45,-102,27,-102},new int[]{-34,134,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[134] = new State(new int[]{45,135,27,14});
-    states[135] = new State(-84);
-    states[136] = new State(-69);
-    states[137] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,138,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[138] = new State(new int[]{55,139});
-    states[139] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76,39,-90,42,-90,45,-90},new int[]{-35,140,-36,162,-56,145,-15,159,-11,155,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[140] = new State(new int[]{39,143,42,160,45,-97},new int[]{-31,141});
-    states[141] = new State(new int[]{45,142});
-    states[142] = new State(-87);
-    states[143] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-36,144,-56,145,-15,159,-11,155,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[144] = new State(-89);
-    states[145] = new State(new int[]{32,146,30,153});
-    states[146] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,27,-102,39,-102,42,-102,45,-102},new int[]{-34,147,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[147] = new State(new int[]{27,14,39,-91,42,-91,45,-91});
-    states[148] = new State(-70);
-    states[149] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,150,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[150] = new State(-98);
-    states[151] = new State(-71);
-    states[152] = new State(-72);
-    states[153] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-15,154,-11,155,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[154] = new State(-93);
-    states[155] = new State(new int[]{36,156,32,-94,30,-94});
-    states[156] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-11,157,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[157] = new State(-95);
-    states[158] = new State(-109);
-    states[159] = new State(-92);
-    states[160] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,27,-102,45,-102},new int[]{-34,161,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[161] = new State(new int[]{27,14,45,-96});
-    states[162] = new State(-88);
-    states[163] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-11,164,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[164] = new State(-85);
-    states[165] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,166,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[166] = new State(new int[]{41,167});
-    states[167] = new State(new int[]{3,9,40,103,46,115,57,121,59,126,62,137,33,149,27,-102,42,-102,43,-102,45,-102},new int[]{-34,168,-28,113,-21,16,-63,17,-3,34,-2,95,-62,46,-22,102,-25,114,-27,120,-29,125,-30,136,-26,148,-33,151,-32,152});
-    states[168] = new State(new int[]{27,14,42,111,43,165,45,-79},new int[]{-24,169,-23,170});
-    states[169] = new State(-80);
-    states[170] = new State(-81);
-    states[171] = new State(-136);
-    states[172] = new State(-131);
-    states[173] = new State(new int[]{3,9},new int[]{-40,174,-39,210,-6,176,-4,209,-2,205});
-    states[174] = new State(new int[]{3,9,44,-113,50,-113,49,-113,51,-113,53,-113},new int[]{-39,175,-6,176,-4,209,-2,205});
-    states[175] = new State(-107);
-    states[176] = new State(new int[]{32,177,30,203});
-    states[177] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,178,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[178] = new State(new int[]{27,179});
-    states[179] = new State(-105);
-    states[180] = new State(new int[]{31,181,27,-118,29,-118});
-    states[181] = new State(new int[]{3,9},new int[]{-2,182});
-    states[182] = new State(-130);
-    states[183] = new State(-129);
-    states[184] = new State(-119);
-    states[185] = new State(new int[]{55,186,3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-58,196,-57,202,-11,201,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[186] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,187,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[187] = new State(-122);
-    states[188] = new State(-120);
-    states[189] = new State(new int[]{45,190});
-    states[190] = new State(new int[]{30,191});
-    states[191] = new State(-124);
-    states[192] = new State(-121);
-    states[193] = new State(new int[]{60,194});
-    states[194] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,195,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[195] = new State(-128);
-    states[196] = new State(new int[]{55,197,30,199});
-    states[197] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,198,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[198] = new State(-123);
-    states[199] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-57,200,-11,201,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[200] = new State(-126);
-    states[201] = new State(-127);
-    states[202] = new State(-125);
-    states[203] = new State(new int[]{3,9},new int[]{-4,204,-2,205});
-    states[204] = new State(-104);
-    states[205] = new State(new int[]{13,207,12,208,32,-10,30,-10,21,-10},new int[]{-5,206});
-    states[206] = new State(-7);
-    states[207] = new State(-8);
-    states[208] = new State(-9);
-    states[209] = new State(-103);
-    states[210] = new State(-106);
-    states[211] = new State(-132);
-    states[212] = new State(new int[]{3,9},new int[]{-43,213,-42,219,-4,215,-2,205});
-    states[213] = new State(new int[]{3,9,44,-112,50,-112,49,-112,51,-112,53,-112},new int[]{-42,214,-4,215,-2,205});
-    states[214] = new State(-111);
-    states[215] = new State(new int[]{21,216});
-    states[216] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-11,217,-10,158,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[217] = new State(new int[]{27,218});
-    states[218] = new State(-108);
-    states[219] = new State(-110);
-    states[220] = new State(-133);
-    states[221] = new State(new int[]{3,9},new int[]{-46,222,-47,228,-4,224,-2,205});
-    states[222] = new State(new int[]{3,9,44,-114,50,-114,49,-114,51,-114,53,-114},new int[]{-47,223,-4,224,-2,205});
-    states[223] = new State(-116);
-    states[224] = new State(new int[]{21,225});
-    states[225] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,226,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[226] = new State(new int[]{27,227});
-    states[227] = new State(-117);
-    states[228] = new State(-115);
-    states[229] = new State(-134);
-    states[230] = new State(new int[]{3,9},new int[]{-2,231});
-    states[231] = new State(new int[]{28,240,30,-138,27,-138},new int[]{-66,232});
-    states[232] = new State(new int[]{30,238,27,-140},new int[]{-67,233});
-    states[233] = new State(new int[]{27,234});
-    states[234] = new State(-135,new int[]{-53,235,-37,10});
-    states[235] = new State(new int[]{3,9},new int[]{-2,236});
-    states[236] = new State(new int[]{27,237});
-    states[237] = new State(-137);
-    states[238] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,239,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[239] = new State(-141);
-    states[240] = new State(new int[]{50,249,3,-145},new int[]{-68,241,-69,250,-64,245});
-    states[241] = new State(new int[]{29,242,27,243});
-    states[242] = new State(-139);
-    states[243] = new State(new int[]{50,249,3,-145},new int[]{-69,244,-64,245});
-    states[244] = new State(-143);
-    states[245] = new State(new int[]{3,9},new int[]{-6,246,-4,209,-2,205});
-    states[246] = new State(new int[]{32,247,30,203});
-    states[247] = new State(new int[]{3,9,54,185,56,189,63,193},new int[]{-48,248,-7,180,-2,183,-49,184,-51,188,-50,192});
-    states[248] = new State(-144);
-    states[249] = new State(-146);
-    states[250] = new State(-142);
-    states[251] = new State(new int[]{3,9,5,53,7,54,6,55,8,56,9,57,10,58,4,59,28,60,25,63,34,66,12,74,11,76},new int[]{-10,252,-13,20,-17,23,-16,42,-18,28,-63,33,-3,34,-2,43,-62,46,-8,65});
-    states[252] = new State(-3);
-
-    rules[1] = new Rule(-65, new int[]{-1,2});
-    rules[2] = new Rule(-1, new int[]{48,-2,27,-53,-2,31});
-    rules[3] = new Rule(-1, new int[]{52,-10});
-    rules[4] = new Rule(-2, new int[]{3});
-    rules[5] = new Rule(-3, new int[]{-2,31,-2});
-    rules[6] = new Rule(-3, new int[]{-2});
-    rules[7] = new Rule(-4, new int[]{-2,-5});
-    rules[8] = new Rule(-5, new int[]{13});
-    rules[9] = new Rule(-5, new int[]{12});
-    rules[10] = new Rule(-5, new int[]{});
-    rules[11] = new Rule(-53, new int[]{-37,44,-34,45});
-    rules[12] = new Rule(-8, new int[]{34,-9,35});
-    rules[13] = new Rule(-9, new int[]{-12});
-    rules[14] = new Rule(-9, new int[]{-9,30,-12});
-    rules[15] = new Rule(-9, new int[]{});
-    rules[16] = new Rule(-12, new int[]{-10});
-    rules[17] = new Rule(-12, new int[]{-10,36,-10});
-    rules[18] = new Rule(-10, new int[]{-13});
-    rules[19] = new Rule(-10, new int[]{-13,-61,-13});
-    rules[20] = new Rule(-61, new int[]{21});
-    rules[21] = new Rule(-61, new int[]{22});
-    rules[22] = new Rule(-61, new int[]{17});
-    rules[23] = new Rule(-61, new int[]{19});
-    rules[24] = new Rule(-61, new int[]{18});
-    rules[25] = new Rule(-61, new int[]{20});
-    rules[26] = new Rule(-13, new int[]{-17});
-    rules[27] = new Rule(-13, new int[]{-17,-59,-19});
-    rules[28] = new Rule(-17, new int[]{-16});
-    rules[29] = new Rule(-17, new int[]{12,-16});
-    rules[30] = new Rule(-17, new int[]{11,-16});
-    rules[31] = new Rule(-19, new int[]{-16});
-    rules[32] = new Rule(-19, new int[]{-19,-59,-16});
-    rules[33] = new Rule(-16, new int[]{-18});
-    rules[34] = new Rule(-16, new int[]{-18,-60,-20});
-    rules[35] = new Rule(-20, new int[]{-18});
-    rules[36] = new Rule(-20, new int[]{-20,-60,-18});
-    rules[37] = new Rule(-18, new int[]{-63});
-    rules[38] = new Rule(-18, new int[]{5});
-    rules[39] = new Rule(-18, new int[]{7});
-    rules[40] = new Rule(-18, new int[]{6});
-    rules[41] = new Rule(-18, new int[]{8});
-    rules[42] = new Rule(-18, new int[]{9});
-    rules[43] = new Rule(-18, new int[]{10});
-    rules[44] = new Rule(-18, new int[]{4});
-    rules[45] = new Rule(-18, new int[]{28,-10,29});
-    rules[46] = new Rule(-18, new int[]{25,-18});
-    rules[47] = new Rule(-18, new int[]{-8});
-    rules[48] = new Rule(-63, new int[]{-3});
-    rules[49] = new Rule(-63, new int[]{-62});
-    rules[50] = new Rule(-62, new int[]{-3,31,-2});
-    rules[51] = new Rule(-62, new int[]{-3,37,-55,38});
-    rules[52] = new Rule(-62, new int[]{-62,31,-2});
-    rules[53] = new Rule(-62, new int[]{-62,37,-55,38});
-    rules[54] = new Rule(-55, new int[]{-10});
-    rules[55] = new Rule(-55, new int[]{-55,30,-10});
-    rules[56] = new Rule(-59, new int[]{12});
-    rules[57] = new Rule(-59, new int[]{11});
-    rules[58] = new Rule(-59, new int[]{16});
-    rules[59] = new Rule(-60, new int[]{13});
-    rules[60] = new Rule(-60, new int[]{14});
-    rules[61] = new Rule(-60, new int[]{23});
-    rules[62] = new Rule(-60, new int[]{24});
-    rules[63] = new Rule(-60, new int[]{15});
-    rules[64] = new Rule(-28, new int[]{-21});
-    rules[65] = new Rule(-28, new int[]{-22});
-    rules[66] = new Rule(-28, new int[]{-25});
-    rules[67] = new Rule(-28, new int[]{-27});
-    rules[68] = new Rule(-28, new int[]{-29});
-    rules[69] = new Rule(-28, new int[]{-30});
-    rules[70] = new Rule(-28, new int[]{-26});
-    rules[71] = new Rule(-28, new int[]{-33});
-    rules[72] = new Rule(-28, new int[]{-32});
-    rules[73] = new Rule(-34, new int[]{-28});
-    rules[74] = new Rule(-34, new int[]{-34,27,-28});
-    rules[75] = new Rule(-21, new int[]{-63,26,-10});
-    rules[76] = new Rule(-22, new int[]{40,-10,41,-34,-24,45});
-    rules[77] = new Rule(-22, new int[]{40,-10,41,-34,-23,45});
-    rules[78] = new Rule(-24, new int[]{42,-34});
-    rules[79] = new Rule(-24, new int[]{});
-    rules[80] = new Rule(-23, new int[]{43,-10,41,-34,-24});
-    rules[81] = new Rule(-23, new int[]{43,-10,41,-34,-23});
-    rules[82] = new Rule(-25, new int[]{46,-10,47,-34,45});
-    rules[83] = new Rule(-27, new int[]{57,-34,58,-10});
-    rules[84] = new Rule(-29, new int[]{59,-2,26,-10,60,-10,-14,47,-34,45});
-    rules[85] = new Rule(-14, new int[]{61,-11});
-    rules[86] = new Rule(-14, new int[]{});
-    rules[87] = new Rule(-30, new int[]{62,-10,55,-35,-31,45});
-    rules[88] = new Rule(-35, new int[]{-36});
-    rules[89] = new Rule(-35, new int[]{-35,39,-36});
-    rules[90] = new Rule(-35, new int[]{});
-    rules[91] = new Rule(-36, new int[]{-56,32,-34});
-    rules[92] = new Rule(-56, new int[]{-15});
-    rules[93] = new Rule(-56, new int[]{-56,30,-15});
-    rules[94] = new Rule(-15, new int[]{-11});
-    rules[95] = new Rule(-15, new int[]{-11,36,-11});
-    rules[96] = new Rule(-31, new int[]{42,-34});
-    rules[97] = new Rule(-31, new int[]{});
-    rules[98] = new Rule(-26, new int[]{33,-10});
-    rules[99] = new Rule(-54, new int[]{-10});
-    rules[100] = new Rule(-54, new int[]{-54,30,-10});
-    rules[101] = new Rule(-33, new int[]{-2,28,-54,29});
-    rules[102] = new Rule(-32, new int[]{});
-    rules[103] = new Rule(-6, new int[]{-4});
-    rules[104] = new Rule(-6, new int[]{-6,30,-4});
-    rules[105] = new Rule(-39, new int[]{-6,32,-48,27});
-    rules[106] = new Rule(-40, new int[]{-39});
-    rules[107] = new Rule(-40, new int[]{-40,-39});
-    rules[108] = new Rule(-42, new int[]{-4,21,-11,27});
-    rules[109] = new Rule(-11, new int[]{-10});
-    rules[110] = new Rule(-43, new int[]{-42});
-    rules[111] = new Rule(-43, new int[]{-43,-42});
-    rules[112] = new Rule(-44, new int[]{49,-43});
-    rules[113] = new Rule(-41, new int[]{50,-40});
-    rules[114] = new Rule(-45, new int[]{51,-46});
-    rules[115] = new Rule(-46, new int[]{-47});
-    rules[116] = new Rule(-46, new int[]{-46,-47});
-    rules[117] = new Rule(-47, new int[]{-4,21,-48,27});
-    rules[118] = new Rule(-48, new int[]{-7});
-    rules[119] = new Rule(-48, new int[]{-49});
-    rules[120] = new Rule(-48, new int[]{-51});
-    rules[121] = new Rule(-48, new int[]{-50});
-    rules[122] = new Rule(-49, new int[]{54,55,-48});
-    rules[123] = new Rule(-49, new int[]{54,-58,55,-48});
-    rules[124] = new Rule(-51, new int[]{56,45,30});
-    rules[125] = new Rule(-58, new int[]{-57});
-    rules[126] = new Rule(-58, new int[]{-58,30,-57});
-    rules[127] = new Rule(-57, new int[]{-11});
-    rules[128] = new Rule(-50, new int[]{63,60,-48});
-    rules[129] = new Rule(-7, new int[]{-2});
-    rules[130] = new Rule(-7, new int[]{-7,31,-2});
-    rules[131] = new Rule(-38, new int[]{-41});
-    rules[132] = new Rule(-38, new int[]{-44});
-    rules[133] = new Rule(-38, new int[]{-45});
-    rules[134] = new Rule(-38, new int[]{-52});
-    rules[135] = new Rule(-37, new int[]{});
-    rules[136] = new Rule(-37, new int[]{-37,-38});
-    rules[137] = new Rule(-52, new int[]{53,-2,-66,-67,27,-53,-2,27});
-    rules[138] = new Rule(-66, new int[]{});
-    rules[139] = new Rule(-66, new int[]{28,-68,29});
-    rules[140] = new Rule(-67, new int[]{});
-    rules[141] = new Rule(-67, new int[]{30,-48});
-    rules[142] = new Rule(-68, new int[]{-69});
-    rules[143] = new Rule(-68, new int[]{-68,27,-69});
-    rules[144] = new Rule(-69, new int[]{-64,-6,32,-48});
-    rules[145] = new Rule(-64, new int[]{});
-    rules[146] = new Rule(-64, new int[]{50});
-  }
-
-  protected override void Initialize() {
-    this.InitSpecialTokens((int)Tokens.error, (int)Tokens.EOF);
-    this.InitStates(states);
-    this.InitRules(rules);
-    this.InitNonTerminals(nonTerms);
-  }
-
-  protected override void DoAction(int action)
-  {
-    switch (action)
-    {
-      case 2: // module -> MODULE, ident, SEMICOLUMN, mainblock, ident, COMMA
-{
-		if (ValueStack[ValueStack.Depth-5].id.name != ValueStack[ValueStack.Depth-2].id.name)
-			PT.AddError("Имя " + ValueStack[ValueStack.Depth-2].id.name + " должно совпадать с именем модуля " + ValueStack[ValueStack.Depth-5].id.name, LocationStack[LocationStack.Depth-2]);
-		
-		// Подключение стандартного модуля Oberon00System, написанного на PascalABC.NET
-		var ul = new uses_list("Oberon00System");
-		
-		// Формирование модуля основной программы (используется фабричный метод вместо конструктора)
-		root = program_module.create(ValueStack[ValueStack.Depth-5].id, ul, ValueStack[ValueStack.Depth-3].bl, CurrentLocationSpan);
-    }
-        break;
-      case 3: // module -> INVISIBLE, expr
-{ // Для Intellisense
-		root = ValueStack[ValueStack.Depth-1].ex;
-	}
-        break;
-      case 4: // ident -> ID
-{
-		CurrentSemanticValue.id = new ident(ValueStack[ValueStack.Depth-1].sVal,CurrentLocationSpan); 
-	}
-        break;
-      case 5: // specifiedIdent -> ident, COMMA, ident
-{
-		CurrentSemanticValue.adrv = new dot_node(ValueStack[ValueStack.Depth-3].id, ValueStack[ValueStack.Depth-1].id, CurrentLocationSpan);
-	}
-        break;
-      case 6: // specifiedIdent -> ident
-{
-		CurrentSemanticValue.adrv = ValueStack[ValueStack.Depth-1].id;
-	}
-        break;
-      case 7: // identDef -> ident, ExportLabel
-{
-		CurrentSemanticValue.obrid = new oberon_ident_with_export_marker(ValueStack[ValueStack.Depth-2].id.name, ValueStack[ValueStack.Depth-1].obrem, CurrentLocationSpan);
-	}
-        break;
-      case 8: // ExportLabel -> MULT
-{
-		CurrentSemanticValue.obrem = oberon_export_marker.export;
-	}
-        break;
-      case 9: // ExportLabel -> MINUS
-{
-		CurrentSemanticValue.obrem = oberon_export_marker.export_readonly;
-	}
-        break;
-      case 10: // ExportLabel -> /* empty */
-{
-		//$$ = oberon_export_marker.nonexport;
-		CurrentSemanticValue.obrem = oberon_export_marker.export;
-	}
-        break;
-      case 11: // mainblock -> Declarations, BEGIN, StatementSequence, END
-{
-		CurrentSemanticValue.bl = new block(ValueStack[ValueStack.Depth-4].decl, ValueStack[ValueStack.Depth-2].sl, CurrentLocationSpan);
-	}
-        break;
-      case 12: // SetConstant -> LBRACE, SetElemList, RBRACE
-{
-		CurrentSemanticValue.sc = ValueStack[ValueStack.Depth-2].sc;
-		CurrentSemanticValue.sc.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 13: // SetElemList -> SetElem
-{
-		CurrentSemanticValue.sc = new pascal_set_constant();
-		CurrentSemanticValue.sc.Add(ValueStack[ValueStack.Depth-1].ex);
-		CurrentSemanticValue.sc.source_context = CurrentLocationSpan;
-		
-	}
-        break;
-      case 14: // SetElemList -> SetElemList, COLUMN, SetElem
-{
-		CurrentSemanticValue.sc = ValueStack[ValueStack.Depth-3].sc;
-		CurrentSemanticValue.sc.Add(ValueStack[ValueStack.Depth-1].ex);
-		CurrentSemanticValue.sc.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 15: // SetElemList -> /* empty */
-{
-		CurrentSemanticValue.sc = new pascal_set_constant();
-	}
-        break;
-      case 17: // SetElem -> expr, DOUBLEPOINT, expr
-{
-		CurrentSemanticValue.ex = new diapason_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, CurrentLocationSpan);
-	}
-        break;
-      case 18: // expr -> SimpleExpr
-{
-		CurrentSemanticValue.ex = ValueStack[ValueStack.Depth-1].ex;
-	}
-        break;
-      case 19: // expr -> SimpleExpr, Relation, SimpleExpr
-{
-		CurrentSemanticValue.ex = new bin_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, ValueStack[ValueStack.Depth-2].ops, CurrentLocationSpan);
-	}
-        break;
-      case 20: // Relation -> EQ
-{
-		CurrentSemanticValue.ops = Operators.Equal;
-	}
-        break;
-      case 21: // Relation -> NE
-{
-		CurrentSemanticValue.ops = Operators.NotEqual;
-	}
-        break;
-      case 22: // Relation -> LT
-{
-		CurrentSemanticValue.ops = Operators.Less;
-	}
-        break;
-      case 23: // Relation -> LE
-{
-		CurrentSemanticValue.ops = Operators.LessEqual;
-	}
-        break;
-      case 24: // Relation -> GT
-{
-		CurrentSemanticValue.ops = Operators.Greater;
-	}
-        break;
-      case 25: // Relation -> GE
-{
-		CurrentSemanticValue.ops = Operators.GreaterEqual;
-	}
-        break;
-      case 26: // SimpleExpr -> signedTerm
-{
-		CurrentSemanticValue.ex = ValueStack[ValueStack.Depth-1].ex;
-		CurrentSemanticValue.ex.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 27: // SimpleExpr -> signedTerm, AddOperator, AddList
-{
-		CurrentSemanticValue.ex = new bin_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, ValueStack[ValueStack.Depth-2].ops, CurrentLocationSpan);
-	}
-        break;
-      case 29: // signedTerm -> MINUS, term
-{
-		CurrentSemanticValue.ex = new un_expr(ValueStack[ValueStack.Depth-1].ex, Operators.Minus, CurrentLocationSpan);
-	}
-        break;
-      case 30: // signedTerm -> PLUS, term
-{
-		CurrentSemanticValue.ex = new un_expr(ValueStack[ValueStack.Depth-1].ex, Operators.Plus, CurrentLocationSpan);
-	}
-        break;
-      case 32: // AddList -> AddList, AddOperator, term
-{
-		CurrentSemanticValue.ex = new bin_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, ValueStack[ValueStack.Depth-2].ops, CurrentLocationSpan);
-	}
-        break;
-      case 34: // term -> factor, MultOperator, FactorList
-{
-		CurrentSemanticValue.ex = new bin_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, ValueStack[ValueStack.Depth-2].ops, CurrentLocationSpan);
-	}
-        break;
-      case 36: // FactorList -> FactorList, MultOperator, factor
-{
-		CurrentSemanticValue.ex = new bin_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, ValueStack[ValueStack.Depth-2].ops, CurrentLocationSpan);
-	}
-        break;
-      case 37: // factor -> Designator
-{
-		CurrentSemanticValue.ex = ValueStack[ValueStack.Depth-1].adrv;
-	}
-        break;
-      case 38: // factor -> INTNUM
-{ 
-		CurrentSemanticValue.ex = new int32_const(ValueStack[ValueStack.Depth-1].iVal,CurrentLocationSpan); 		
-	}
-        break;
-      case 39: // factor -> LONGINTNUM
-{
-		CurrentSemanticValue.ex = new int64_const(ValueStack[ValueStack.Depth-1].lVal, CurrentLocationSpan); 		
-	}
-        break;
-      case 40: // factor -> REALNUM
-{
-		CurrentSemanticValue.ex = new double_const(ValueStack[ValueStack.Depth-1].rVal, CurrentLocationSpan);
-	}
-        break;
-      case 41: // factor -> TRUE
-{
-		CurrentSemanticValue.ex = new bool_const(true,CurrentLocationSpan);
-	}
-        break;
-      case 42: // factor -> FALSE
-{
-		CurrentSemanticValue.ex = new bool_const(false,CurrentLocationSpan);
-	}
-        break;
-      case 43: // factor -> CHAR_CONST
-{
-		CurrentSemanticValue.ex = new char_const(ValueStack[ValueStack.Depth-1].cVal, CurrentLocationSpan);
-	}
-        break;
-      case 44: // factor -> STRING_CONST
-{
-		CurrentSemanticValue.ex = new string_const(ValueStack[ValueStack.Depth-1].sVal, CurrentLocationSpan);
-	}
-        break;
-      case 45: // factor -> LPAREN, expr, RPAREN
-{ 
-		CurrentSemanticValue.ex = ValueStack[ValueStack.Depth-2].ex;
-	}
-        break;
-      case 46: // factor -> NOT, factor
-{
-		CurrentSemanticValue.ex = new un_expr(ValueStack[ValueStack.Depth-1].ex,Operators.LogicalNOT,CurrentLocationSpan);
-	}
-        break;
-      case 48: // Designator -> specifiedIdent
-{
-		CurrentSemanticValue.adrv = ValueStack[ValueStack.Depth-1].adrv;
-	}
-        break;
-      case 49: // Designator -> ComplexDesignator
-{
-		CurrentSemanticValue.adrv = ValueStack[ValueStack.Depth-1].adrv;
-	}
-        break;
-      case 50: // ComplexDesignator -> specifiedIdent, COMMA, ident
-{
-		CurrentSemanticValue.adrv = new dot_node(ValueStack[ValueStack.Depth-3].adrv, ValueStack[ValueStack.Depth-1].id, CurrentLocationSpan);
-	}
-        break;
-      case 51: // ComplexDesignator -> specifiedIdent, LBRACKET, ExprList, RBRACKET
-{
-		indexer indxr = new indexer();
-		indxr.dereferencing_value = ValueStack[ValueStack.Depth-4].adrv;
-		indxr.indexes = ValueStack[ValueStack.Depth-2].el;
-		CurrentSemanticValue.adrv = indxr;
-		CurrentSemanticValue.adrv.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 52: // ComplexDesignator -> ComplexDesignator, COMMA, ident
-{
-		CurrentSemanticValue.adrv = new dot_node(ValueStack[ValueStack.Depth-3].adrv, ValueStack[ValueStack.Depth-1].id, CurrentLocationSpan);
-	}
-        break;
-      case 53: // ComplexDesignator -> ComplexDesignator, LBRACKET, ExprList, RBRACKET
-{
-		indexer indxr = new indexer();
-		indxr.dereferencing_value = ValueStack[ValueStack.Depth-4].adrv;
-		indxr.indexes = ValueStack[ValueStack.Depth-2].el;
-		CurrentSemanticValue.adrv = indxr;
-		CurrentSemanticValue.adrv.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 54: // ExprList -> expr
-{
-		CurrentSemanticValue.el = new expression_list(ValueStack[ValueStack.Depth-1].ex, CurrentLocationSpan);
-	}
-        break;
-      case 55: // ExprList -> ExprList, COLUMN, expr
-{
-		CurrentSemanticValue.el = ValueStack[ValueStack.Depth-3].el;
-		CurrentSemanticValue.el.Add(ValueStack[ValueStack.Depth-1].ex, LocationStack[LocationStack.Depth-1]);
-		CurrentSemanticValue.el.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 56: // AddOperator -> MINUS
-{
-		CurrentSemanticValue.ops = Operators.Minus;
-	}
-        break;
-      case 57: // AddOperator -> PLUS
-{
-		CurrentSemanticValue.ops = Operators.Plus;
-	}
-        break;
-      case 58: // AddOperator -> OR
-{
-		CurrentSemanticValue.ops = Operators.LogicalOR;
-	}
-        break;
-      case 59: // MultOperator -> MULT
-{
-		CurrentSemanticValue.ops = Operators.Multiplication;
-	}
-        break;
-      case 60: // MultOperator -> DIVIDE
-{
-		CurrentSemanticValue.ops = Operators.Division;
-	}
-        break;
-      case 61: // MultOperator -> DIV
-{
-		CurrentSemanticValue.ops = Operators.IntegerDivision;
-	}
-        break;
-      case 62: // MultOperator -> MOD
-{
-		CurrentSemanticValue.ops = Operators.ModulusRemainder;
-	}
-        break;
-      case 63: // MultOperator -> AND
-{
-		CurrentSemanticValue.ops = Operators.LogicalAND;
-	}
-        break;
-      case 73: // StatementSequence -> Statement
-{
-		CurrentSemanticValue.sl = new statement_list(ValueStack[ValueStack.Depth-1].st,CurrentLocationSpan);
-	}
-        break;
-      case 74: // StatementSequence -> StatementSequence, SEMICOLUMN, Statement
-{
-		ValueStack[ValueStack.Depth-3].sl.Add(ValueStack[ValueStack.Depth-1].st,CurrentLocationSpan);
-		CurrentSemanticValue.sl = ValueStack[ValueStack.Depth-3].sl;
-	}
-        break;
-      case 75: // Assignment -> Designator, ASSIGN, expr
-{
-		CurrentSemanticValue.st = new assign(ValueStack[ValueStack.Depth-3].adrv, ValueStack[ValueStack.Depth-1].ex, Operators.Assignment, CurrentLocationSpan);
-	}
-        break;
-      case 76: // IfStatement -> IF, expr, THEN, StatementSequence, ElseStatements, END
-{
-		CurrentSemanticValue.st = new if_node(ValueStack[ValueStack.Depth-5].ex, ValueStack[ValueStack.Depth-3].sl, ValueStack[ValueStack.Depth-2].st, CurrentLocationSpan);
-	}
-        break;
-      case 77: // IfStatement -> IF, expr, THEN, StatementSequence, ElseIfStatements, END
-{
-		CurrentSemanticValue.st = new if_node(ValueStack[ValueStack.Depth-5].ex, ValueStack[ValueStack.Depth-3].sl, ValueStack[ValueStack.Depth-2].st, CurrentLocationSpan);
-	}
-        break;
-      case 78: // ElseStatements -> ELSE, StatementSequence
-{
-		CurrentSemanticValue.st = ValueStack[ValueStack.Depth-1].sl;
-		CurrentSemanticValue.st.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 79: // ElseStatements -> /* empty */
-{
-		CurrentSemanticValue.st = null;
-	}
-        break;
-      case 80: // ElseIfStatements -> ELSEIF, expr, THEN, StatementSequence, ElseStatements
-{
-		CurrentSemanticValue.st = new if_node(ValueStack[ValueStack.Depth-4].ex, ValueStack[ValueStack.Depth-2].sl, ValueStack[ValueStack.Depth-1].st, CurrentLocationSpan);
-	}
-        break;
-      case 81: // ElseIfStatements -> ELSEIF, expr, THEN, StatementSequence, ElseIfStatements
-{
-		CurrentSemanticValue.st = new if_node(ValueStack[ValueStack.Depth-4].ex, ValueStack[ValueStack.Depth-2].sl, ValueStack[ValueStack.Depth-1].st, CurrentLocationSpan);
-	}
-        break;
-      case 82: // WhileStatement -> WHILE, expr, DO, StatementSequence, END
-{
-		CurrentSemanticValue.st = new while_node(ValueStack[ValueStack.Depth-4].ex, ValueStack[ValueStack.Depth-2].sl, WhileCycleType.While, CurrentLocationSpan);
-	}
-        break;
-      case 83: // RepeatStatement -> REPEAT, StatementSequence, UNTIL, expr
-{
-		CurrentSemanticValue.st = new repeat_node(ValueStack[ValueStack.Depth-3].sl, ValueStack[ValueStack.Depth-1].ex, CurrentLocationSpan);
-	}
-        break;
-      case 84: // ForStatement -> FOR, ident, ASSIGN, expr, TO, expr, ForStep, DO, 
-               //                 StatementSequence, END
-{
-		expression step;
-		if (ValueStack[ValueStack.Depth-4].ex != null) 	step = ValueStack[ValueStack.Depth-4].ex;
-		else 				step = new int32_const(1, LocationStack[LocationStack.Depth-4]);
-		// Будем моделировать цикл через while
-		statement_list forStmnt = GetForThroughWhile(ValueStack[ValueStack.Depth-9].id, ValueStack[ValueStack.Depth-7].ex, ValueStack[ValueStack.Depth-5].ex, ValueStack[ValueStack.Depth-2].sl, step, LocationStack[LocationStack.Depth-8], CurrentLocationSpan);
-		CurrentSemanticValue.st = forStmnt;
-		CurrentSemanticValue.st.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 85: // ForStep -> BY, ConstExpr
-{
-		int32_const step32 = ValueStack[ValueStack.Depth-1].ex as int32_const;
-		if (step32 != null) {	// шаг является просто целым числом (без знака)
-			if (step32.val == 0)	PT.AddError("Шаг цикла не может быть нулевым", LocationStack[LocationStack.Depth-2]);
-			else					CurrentSemanticValue.ex = new int32_const(step32.val, CurrentLocationSpan);
-		}
-		else {					// в значении шага либо присутствует знак, либо это вообще не целое
-			un_expr stepMinus = ValueStack[ValueStack.Depth-1].ex as un_expr;
-			int32_const stepMinusTerm = stepMinus.subnode as int32_const;
-			bool signMinus = (stepMinusTerm != null) &&	(stepMinus.operation_type == Operators.Minus);
-			if (signMinus)
-				if (stepMinusTerm.val == 0)
-					PT.AddError("Шаг цикла не может быть нулевым", LocationStack[LocationStack.Depth-2]);
-				else	
-					CurrentSemanticValue.ex = new un_expr(stepMinusTerm, Operators.Minus, LocationStack[LocationStack.Depth-1]);
-			else
-				PT.AddError("Шаг цикла должен быть целым числом", LocationStack[LocationStack.Depth-2]);
-		}
-	}
-        break;
-      case 86: // ForStep -> /* empty */
-{
-		CurrentSemanticValue.ex = null;
-	}
-        break;
-      case 87: // CaseStatement -> CASE, expr, OF, CaseVariantList, ElseBranch, END
-{
-		CurrentSemanticValue.st = new case_node(ValueStack[ValueStack.Depth-5].ex, ValueStack[ValueStack.Depth-3].cvars, ValueStack[ValueStack.Depth-2].st, CurrentLocationSpan);
-	}
-        break;
-      case 88: // CaseVariantList -> CaseVariant
-{
-		CurrentSemanticValue.cvars = new case_variants();
-		CurrentSemanticValue.cvars.Add(ValueStack[ValueStack.Depth-1].cvar);
-		CurrentSemanticValue.cvars.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 89: // CaseVariantList -> CaseVariantList, PIPE, CaseVariant
-{
-		CurrentSemanticValue.cvars = ValueStack[ValueStack.Depth-3].cvars;
-		CurrentSemanticValue.cvars.Add(ValueStack[ValueStack.Depth-1].cvar);
-		CurrentSemanticValue.cvars.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 90: // CaseVariantList -> /* empty */
-{
-		CurrentSemanticValue.cvars = new case_variants();
-	}
-        break;
-      case 91: // CaseVariant -> CaseVariantLabelList, COLON, StatementSequence
-{
-		CurrentSemanticValue.cvar = new case_variant(ValueStack[ValueStack.Depth-3].el, ValueStack[ValueStack.Depth-1].sl, CurrentLocationSpan);
-	}
-        break;
-      case 92: // CaseVariantLabelList -> CaseVariantLabels
-{
-		CurrentSemanticValue.el = new expression_list(ValueStack[ValueStack.Depth-1].ex, CurrentLocationSpan);
-	}
-        break;
-      case 93: // CaseVariantLabelList -> CaseVariantLabelList, COLUMN, CaseVariantLabels
-{
-		CurrentSemanticValue.el = ValueStack[ValueStack.Depth-3].el;
-		CurrentSemanticValue.el.Add(ValueStack[ValueStack.Depth-1].ex, LocationStack[LocationStack.Depth-1]);
-		CurrentSemanticValue.el.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 94: // CaseVariantLabels -> ConstExpr
-{
-		CurrentSemanticValue.ex = ValueStack[ValueStack.Depth-1].ex;
-	}
-        break;
-      case 95: // CaseVariantLabels -> ConstExpr, DOUBLEPOINT, ConstExpr
-{
-		CurrentSemanticValue.ex = new diapason_expr(ValueStack[ValueStack.Depth-3].ex, ValueStack[ValueStack.Depth-1].ex, CurrentLocationSpan);
-	}
-        break;
-      case 96: // ElseBranch -> ELSE, StatementSequence
-{
-		CurrentSemanticValue.st = ValueStack[ValueStack.Depth-1].sl;
-		CurrentSemanticValue.st.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 97: // ElseBranch -> /* empty */
-{
-		CurrentSemanticValue.st = null;
-	}
-        break;
-      case 98: // WriteStatement -> EXCLAMATION, expr
-{
-		expression_list el = new expression_list(ValueStack[ValueStack.Depth-1].ex,CurrentLocationSpan);
-		method_call mc = new method_call(el);
-		mc.dereferencing_value = new ident("print");
-		CurrentSemanticValue.st = mc;
-	}
-        break;
-      case 99: // factparams -> expr
-{
-		CurrentSemanticValue.el = new expression_list(ValueStack[ValueStack.Depth-1].ex,CurrentLocationSpan);
-	}
-        break;
-      case 100: // factparams -> factparams, COLUMN, expr
-{
-		ValueStack[ValueStack.Depth-3].el.Add(ValueStack[ValueStack.Depth-1].ex,CurrentLocationSpan);
-		CurrentSemanticValue.el = ValueStack[ValueStack.Depth-3].el;
-	}
-        break;
-      case 101: // ProcCallStatement -> ident, LPAREN, factparams, RPAREN
-{
-		CurrentSemanticValue.st = new method_call(ValueStack[ValueStack.Depth-4].id,ValueStack[ValueStack.Depth-2].el,CurrentLocationSpan);
-	}
-        break;
-      case 102: // EmptyStatement -> /* empty */
-{
-		CurrentSemanticValue.st = new empty_statement();		
-	}
-        break;
-      case 103: // IDList -> identDef
-{
-		CurrentSemanticValue.il=new ident_list(ValueStack[ValueStack.Depth-1].obrid,CurrentLocationSpan);
-		
-	}
-        break;
-      case 104: // IDList -> IDList, COLUMN, identDef
-{
-		ValueStack[ValueStack.Depth-3].il.Add(ValueStack[ValueStack.Depth-1].obrid,CurrentLocationSpan);
-		CurrentSemanticValue.il = ValueStack[ValueStack.Depth-3].il;
-	}
-        break;
-      case 105: // VarDecl -> IDList, COLON, TypeDef, SEMICOLUMN
-{
-		CurrentSemanticValue.vds  = new var_def_statement(ValueStack[ValueStack.Depth-4].il, ValueStack[ValueStack.Depth-2].tdef, null, definition_attribute.None, false, CurrentLocationSpan);
-	}
-        break;
-      case 106: // VarDeclarations -> VarDecl
-{
-		CurrentSemanticValue.vdss = new variable_definitions(ValueStack[ValueStack.Depth-1].vds,CurrentLocationSpan);
-	}
-        break;
-      case 107: // VarDeclarations -> VarDeclarations, VarDecl
-{
-		ValueStack[ValueStack.Depth-2].vdss.Add(ValueStack[ValueStack.Depth-1].vds,CurrentLocationSpan);
-		CurrentSemanticValue.vdss = ValueStack[ValueStack.Depth-2].vdss;
-	}
-        break;
-      case 108: // ConstDecl -> identDef, EQ, ConstExpr, SEMICOLUMN
-{
-		CurrentSemanticValue.scd = new simple_const_definition(ValueStack[ValueStack.Depth-4].obrid,ValueStack[ValueStack.Depth-2].ex,CurrentLocationSpan);
-	}
-        break;
-      case 110: // ConstDeclarations -> ConstDecl
-{
-		CurrentSemanticValue.cdl = new consts_definitions_list(ValueStack[ValueStack.Depth-1].scd,CurrentLocationSpan);
-	}
-        break;
-      case 111: // ConstDeclarations -> ConstDeclarations, ConstDecl
-{
-		ValueStack[ValueStack.Depth-2].cdl.Add(ValueStack[ValueStack.Depth-1].scd,CurrentLocationSpan); 
-		CurrentSemanticValue.cdl = ValueStack[ValueStack.Depth-2].cdl;
-	}
-        break;
-      case 112: // ConstDeclarationsSect -> CONST, ConstDeclarations
-{
-		CurrentSemanticValue.cdl = ValueStack[ValueStack.Depth-1].cdl;
-		CurrentSemanticValue.cdl.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 113: // VarDeclarationsSect -> VAR, VarDeclarations
-{
-		CurrentSemanticValue.vdss = ValueStack[ValueStack.Depth-1].vdss;
-		CurrentSemanticValue.vdss.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 114: // TypeDeclarationsSect -> TYPE, TypeDeclarations
-{
-		CurrentSemanticValue.td = ValueStack[ValueStack.Depth-1].td;
-		CurrentSemanticValue.td.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 115: // TypeDeclarations -> TypeDecl
-{
-		CurrentSemanticValue.td = new  type_declarations();
-		CurrentSemanticValue.td.Add(ValueStack[ValueStack.Depth-1].tdec);
-		CurrentSemanticValue.td.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 116: // TypeDeclarations -> TypeDeclarations, TypeDecl
-{
-		CurrentSemanticValue.td = ValueStack[ValueStack.Depth-2].td;
-		CurrentSemanticValue.td.Add(ValueStack[ValueStack.Depth-1].tdec);
-		CurrentSemanticValue.td.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 117: // TypeDecl -> identDef, EQ, TypeDef, SEMICOLUMN
-{
-		CurrentSemanticValue.tdec = new type_declaration(ValueStack[ValueStack.Depth-4].obrid, ValueStack[ValueStack.Depth-2].tdef, CurrentLocationSpan);
-	}
-        break;
-      case 118: // TypeDef -> complexTypeIdent
-{
-		CurrentSemanticValue.tdef = ValueStack[ValueStack.Depth-1].ntr;
-	}
-        break;
-      case 119: // TypeDef -> ArrayType
-{
-		CurrentSemanticValue.tdef = ValueStack[ValueStack.Depth-1].tdef;
-		CurrentSemanticValue.tdef.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 120: // TypeDef -> RecordType
-{
-		CurrentSemanticValue.tdef = ValueStack[ValueStack.Depth-1].cldef;
-		CurrentSemanticValue.tdef.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 121: // TypeDef -> PointerType
-{
-		CurrentSemanticValue.tdef = ValueStack[ValueStack.Depth-1].rft;
-		CurrentSemanticValue.tdef.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 122: // ArrayType -> ARRAY, OF, TypeDef
-{
-		// открытый массив
-		diapason dp = new diapason(new int32_const(0), new int32_const(0));
-		indexers_types inxr = new indexers_types();
-		inxr.Add(dp);
-		CurrentSemanticValue.tdef = new array_type(inxr, ValueStack[ValueStack.Depth-1].tdef, CurrentLocationSpan);
-	}
-        break;
-      case 123: // ArrayType -> ARRAY, LengthList, OF, TypeDef
-{
-		// Будем искать array n of char, чтобы заменить на строку
-		named_type_reference ntr = ValueStack[ValueStack.Depth-1].tdef as named_type_reference;
-		bool complexArr = 	(ntr != null) && (ntr.names.Count == 1) && 
-							(ntr.names[0].name == "char");
-		if (complexArr) 
-			CurrentSemanticValue.tdef = GetArrWithStrInsteadCharArr(ValueStack[ValueStack.Depth-3].indts, LocationStack[LocationStack.Depth-3], CurrentLocationSpan);
-		else
-			CurrentSemanticValue.tdef = new array_type(ValueStack[ValueStack.Depth-3].indts, ValueStack[ValueStack.Depth-1].tdef, CurrentLocationSpan); 
-	}
-        break;
-      case 124: // RecordType -> RECORD, END, COLUMN
-{
-	
-	}
-        break;
-      case 125: // LengthList -> Length
-{
-		CurrentSemanticValue.indts = new indexers_types();
-		CurrentSemanticValue.indts.source_context = CurrentLocationSpan;
-		CurrentSemanticValue.indts.Add(ValueStack[ValueStack.Depth-1].dpsn);
-	}
-        break;
-      case 126: // LengthList -> LengthList, COLUMN, Length
-{
-		CurrentSemanticValue.indts = ValueStack[ValueStack.Depth-3].indts;
-		CurrentSemanticValue.indts.source_context = CurrentLocationSpan;
-		CurrentSemanticValue.indts.Add(ValueStack[ValueStack.Depth-1].dpsn);
-	}
-        break;
-      case 127: // Length -> ConstExpr
-{
-		// В обероне в массиве указывается целочисленная длина
-		// Поэтому надо проверить, что выражение относится к целому типу
-		object[] types = {ValueStack[ValueStack.Depth-1].ex};
-		bool isLength = typeof(int32_const) == System.Type.GetTypeArray(types)[0];
-		if (isLength)	
-			CurrentSemanticValue.dpsn = GetDiapasonByArrLength(ValueStack[ValueStack.Depth-1].ex, CurrentLocationSpan);
-		else
-			PT.AddError("Длина должна быть целым числом", LocationStack[LocationStack.Depth-1]);
-	}
-        break;
-      case 128: // PointerType -> POINTER, TO, TypeDef
-{
-		CurrentSemanticValue.rft = new ref_type(ValueStack[ValueStack.Depth-1].tdef, CurrentLocationSpan);
-	}
-        break;
-      case 129: // complexTypeIdent -> ident
-{
-		CurrentSemanticValue.ntr = new named_type_reference(PT.InternalTypeName(ValueStack[ValueStack.Depth-1].id.name), CurrentLocationSpan);
-	}
-        break;
-      case 130: // complexTypeIdent -> complexTypeIdent, COMMA, ident
-{
-		CurrentSemanticValue.ntr = ValueStack[ValueStack.Depth-3].ntr;
-		CurrentSemanticValue.ntr.Add(PT.InternalTypeName(ValueStack[ValueStack.Depth-1].id.name));
-		CurrentSemanticValue.ntr.source_context = CurrentLocationSpan;
-	}
-        break;
-      case 131: // DeclarationsSect -> VarDeclarationsSect
-{
-		CurrentSemanticValue.decsec = ValueStack[ValueStack.Depth-1].vdss;
-	}
-        break;
-      case 132: // DeclarationsSect -> ConstDeclarationsSect
-{
-		CurrentSemanticValue.decsec = ValueStack[ValueStack.Depth-1].cdl;
-	}
-        break;
-      case 133: // DeclarationsSect -> TypeDeclarationsSect
-{
-		CurrentSemanticValue.decsec = ValueStack[ValueStack.Depth-1].td;
-	}
-        break;
-      case 134: // DeclarationsSect -> ProcedureDeclarationSect
-{
-		CurrentSemanticValue.decsec = ValueStack[ValueStack.Depth-1].pd;
-	}
-        break;
-      case 135: // Declarations -> /* empty */
-{
-	  CurrentSemanticValue.decl = new declarations();
-	}
-        break;
-      case 136: // Declarations -> Declarations, DeclarationsSect
-{
-		if (ValueStack[ValueStack.Depth-1].decsec != null)
-			ValueStack[ValueStack.Depth-2].decl.Add(ValueStack[ValueStack.Depth-1].decsec);
-		CurrentSemanticValue.decl = ValueStack[ValueStack.Depth-2].decl;
-		CurrentSemanticValue.decl.source_context = CurrentLocationSpan;			// Необходимо показать место в программе, т.к. неявно это не сделано
-										// (например, в конструкторе)
-	}
-        break;
-      case 137: // ProcedureDeclarationSect -> PROCEDURE, ident, maybeformalparams, maybereturn, 
-                //                             SEMICOLUMN, mainblock, ident, SEMICOLUMN
-{
-	
-	}
-        break;
-      case 138: // maybeformalparams -> /* empty */
-{
-		//$$ = null;
-	}
-        break;
-      case 139: // maybeformalparams -> LPAREN, FPList, RPAREN
-{
-		//$$ = $2;
-	}
-        break;
-      case 140: // maybereturn -> /* empty */
-{
-		
-	}
-        break;
-      case 141: // maybereturn -> COLUMN, TypeDef
-{
-	
-	}
-        break;
-      case 142: // FPList -> FPSect
-{
-	
-	}
-        break;
-      case 143: // FPList -> FPList, SEMICOLUMN, FPSect
-{
-	
-	}
-        break;
-      case 144: // FPSect -> maybevar, IDList, COLON, TypeDef
-{
-	
-	}
-        break;
-      case 145: // maybevar -> /* empty */
-{
-		CurrentSemanticValue.bVal = false;
-	}
-        break;
-      case 146: // maybevar -> VAR
-{
-		CurrentSemanticValue.bVal = true;
-	}
-        break;
-    }
-  }
-
-  protected override string TerminalToString(int terminal)
-  {
-    if (aliasses != null && aliasses.ContainsKey(terminal))
-        return aliasses[terminal];
-    else if (((Tokens)terminal).ToString() != terminal.ToString(CultureInfo.InvariantCulture))
-        return ((Tokens)terminal).ToString();
-    else
-        return CharToString((char)terminal);
-  }
-
-
-/* 	Возвращает последовательность операторов, соответсвующую
-	циклу for, моделируемому через while */
-public static statement_list GetForThroughWhile(ident id, expression expr, expression endExpr, statement_list stmnts,
-		expression step, SourceContext assignSC, SourceContext wholeSC){
-	// Будем моделировать цикл через while
-	statement_list forStmnt = new statement_list();
-	ident endFor = new ident("_oberon_for_end_");
-	forStmnt.Add(new var_statement(new var_def_statement(
-		new ident_list("_oberon_for_end_"),
-		new named_type_reference("integer", null),
-		endExpr,
-		definition_attribute.None,
-		false))
-	);
-	forStmnt.Add( new assign(id, expr, Operators.Assignment, assignSC) );
-	statement_list posStatementList = new statement_list();		// при положительном шаге
-		posStatementList.Add(stmnts);
-		posStatementList.Add( new assign(id, step, Operators.AssignmentAddition) );
-	while_node posWhile = new while_node(
-		new bin_expr(id, endFor, Operators.LessEqual),
-		posStatementList,
-		WhileCycleType.While);
-	statement_list negStatementList = new statement_list();		// при отрицательном шаге
-		negStatementList.Add(stmnts);
-		negStatementList.Add( new assign(id, step, Operators.AssignmentAddition) );
-	while_node negWhile = new while_node(
-		new bin_expr(id, endFor, Operators.GreaterEqual),
-		negStatementList,
-		WhileCycleType.While);
-	forStmnt.Add( new if_node(
-		new bin_expr(step, new int32_const(0), Operators.Greater),
-		posWhile,
-		negWhile, 
-		wholeSC));
-	return forStmnt;
-}
-
-/* 	Возвращает многомерный массив, в котором при необходимости
-	массив символов заменен на строку */	
-public static type_definition GetArrWithStrInsteadCharArr(indexers_types lenList,
-		SourceContext lenListSC, SourceContext wholeSC){
-	List<type_definition> indxrs = lenList.indexers;
-	diapason dp = indxrs[indxrs.Count - 1] as diapason;
-	int32_const len = new int32_const();
-	len.val = (dp.right as int32_const).val + 1;
-	type_definition result = new string_num_definition(len, new ident("string", lenListSC), wholeSC);
-	if (indxrs.Count > 1) {			// надо делать массив массивов ... строк
-		indxrs.RemoveAt(indxrs.Count - 1);
-		result = new array_type(lenList, result, wholeSC); 
-	}
-	return result;
-}
-
-/* 	Возвращает диапазон 0..Length-1, полученный по обероновской длине
-	массива, и необходимый для паскалевского синтаксического узла */	
-public static diapason GetDiapasonByArrLength(expression lenExpr, SourceContext lenSC){
-	int32_const zero = new int32_const();
-	zero.val = 0;
-	int32_const max = (int32_const)lenExpr;
-	max.val = max.val - 1;
-	return new diapason(zero, max, lenSC);
-}
-}
-}
diff --git a/ReleaseGenerators/.gitignore b/ReleaseGenerators/.gitignore
index 4d8424564..26f70a3d9 100644
--- a/ReleaseGenerators/.gitignore
+++ b/ReleaseGenerators/.gitignore
@@ -3,14 +3,4 @@
 
 /RebuildStandartModules.exe
 
-#TODO Вместо утого удалить устаревшие .pas тесты, оставив остальное без игнора
-/Samples/*
-!/Samples/_SVN/
-
-
-
-!/Samples/ExportSamples.bat
-!/Samples/GetSamples.exe
-!/Samples/GetSamples.pnet
-
 
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/Amp.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/Amp.pas
deleted file mode 100644
index 64c8ee9f9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/Amp.pas
+++ /dev/null
@@ -1,9 +0,0 @@
-// Пример иллюстрирует использование значка & для снятия атрибута ключевого слова
-var 
-  &begin,&end: integer;
-begin
-  &begin := 1;
-  &end := 2;
-  var t: System.Type := &begin.GetType; // в System.Type использовать & не надо
-  write(&begin,' ',&end,' ',t);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/AssignExt.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/AssignExt.pas
deleted file mode 100644
index 3ba218714..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/AssignExt.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Присваивания += -= *= /=
-var 
-  i: integer;
-  r: real;
-
-begin
-  i := 1;
-  writeln('i := 1; i = ',i);
-  i += 2; // Увеличение на 2
-  writeln('i += 2; i = ',i);
-  i *= 3; // Умножение на 3
-  writeln('i *= 3; i = ',i);
-  writeln;
-  r := 6;
-  writeln('r := 6; r = ',r);
-  r /= 2;
-  writeln('r /= 2; r = ',r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/AutoVars.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/AutoVars.pas
deleted file mode 100644
index 25797a7bb..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/AutoVars.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Автоопределение типа переменной
-// Описание переменной в заголовке цикла for
-begin
-  var x := 2;
-  for var i:=1 to 10 do
-  begin
-    write(x,' ');
-    x += 2;
-  end;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/BlockVar.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/BlockVar.pas
deleted file mode 100644
index d1257db6c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/BlockVar.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-// Перемена местами значений двух переменных с использованием третьей
-var x,y: real;
-
-begin
-  write('Введите x,y: ');
-  readln(x,y);
-  var v: real := x; // вспомогательная переменная
-  x := y;
-  y := v;
-  writeln('Новые значения x,y: ',x,' ',y);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/Foreach.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/Foreach.pas
deleted file mode 100644
index 2b546058b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/Foreach.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Пример иллюстрирует возможности оператора foreach
-uses System.Collections.Generic;
-
-var 
-  a: array [1..5] of integer := (1,3,5,7,9);
-  s: set of integer;
-  l: List<integer>;
-
-begin
-  write('foreach по обычному массиву: ':35);
-  foreach x: integer in a do
-    write(x,' ');
-  writeln;  
-  
-  s := [2..5,10..14];
-  write('foreach по множеству: ':35);
-  foreach x: integer in s do
-    write(x,' ');
-  writeln;  
-  
-  l := new List<integer>;
-  l.Add(7); l.Add(2); l.Add(5);
-  write('foreach по динамическому массиву: ':35);
-  foreach x: integer in l do
-    write(x,' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/RandomDiap.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/RandomDiap.pas
deleted file mode 100644
index 7bea343d6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/RandomDiap.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-// Генерация случайного числа в заданном диапазоне
-begin
-  var i := Random(2,5);
-  writeln('Случайное целое в диапазоне 2..5: ',i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/RealExtNums.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/RealExtNums.pas
deleted file mode 100644
index 5e099f699..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/RealExtNums.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-// При работе с вещественными числами невозможно получить ошибку выполнения 
-begin
-  writeln(1/0);
-  writeln(sqrt(-1));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/SimpleNewFeatures.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/SimpleNewFeatures.pas
deleted file mode 100644
index 60cef0d77..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/SimpleNewFeatures.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Простейшие новые возможности языка PascalABC.NET
-
-// Инициализация переменной при описании 
-var i: integer := 1; 
-
-// Автоопределение типа переменной при инициализации
-var r := 2.5;
-
-begin
-  // Внутриблочные описания переменных
-  var s: real := 1.0;
-  
-  // Описание переменной в заголовке цикла (время жизни переменной - до конца тела цикла)
-  for j: integer := 1 to 10 do
-    s += j; // Операция += для чисел
-
-  var p := 1;
-  
-  // Описание переменной в заголовке цикла с автоопределением типа
-  for var j := 1 to 10 do
-    p *= j; // Операция *=
-    
-  var str := '';
-  for c: char := 'a' to 'z' do
-    str += c; // Операция += для строк
-  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/StandardTypes.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/StandardTypes.pas
deleted file mode 100644
index 6eb0c2b4d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/StandardTypes.pas
+++ /dev/null
@@ -1,33 +0,0 @@
-/// Стандартные размерные типы данных и их размер
-var 
-  i: integer;
-  j: shortint;
-  k: smallint;
-  l: longint; // синоним integer
-  i64: int64;
-  b: byte;
-  w: word;
-  lw: longword;
-  car: cardinal; // синоним longword
-  ui64: uint64;
-  r: real;
-  d: double; // синоним real
-  sn: single;
-  c: char;
-  
-begin
-  writeln('sizeof(integer) = ':20, sizeof(integer));
-  writeln('sizeof(shortint) = ':20,sizeof(shortint));
-  writeln('sizeof(smallint) = ':20,sizeof(smallint));
-  writeln('sizeof(longint) = ':20, sizeof(longint));
-  writeln('sizeof(int64) = ':20,   sizeof(int64));
-  writeln('sizeof(byte) = ':20,    sizeof(byte));
-  writeln('sizeof(word) = ':20,    sizeof(word));
-  writeln('sizeof(longword) = ':20,sizeof(longword));
-  writeln('sizeof(cardinal) = ':20,sizeof(cardinal));
-  writeln('sizeof(uint64) = ':20,  sizeof(uint64));
-  writeln('sizeof(real) = ':20,    sizeof(real));
-  writeln('sizeof(double) = ':20,  sizeof(double));
-  writeln('sizeof(single) = ':20,  sizeof(single));
-  writeln('sizeof(char) = ':20,    sizeof(char));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/WriteAll.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/WriteAll.pas
deleted file mode 100644
index 7b9ca40ce..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/WriteAll.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-/// Вывод различных типов процедурой write
-begin
-  // Вывод, целого, строки, вещественного
-  Writeln(1,' ',2.5);
-  // Вывод множества
-  Writeln([1..10]);
-  // Вывод логического
-  Writeln(True);
-  var a: array [1..10] of integer;
-  // Вывод массива (выводится его тип)
-  Writeln(a);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/WriteFormat.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/WriteFormat.pas
deleted file mode 100644
index a6ea0c119..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/01_First/WriteFormat.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-/// Использование процедуры WritelnFormat
-begin
-  // Вывод в обратном порядке
-  WritelnFormat('{2},{1},{0}',1,2,3);
-  // Вывод фигурных скобочек
-  WritelnFormat('{{}}{0}','Вывод фигурных скобочек в форматной строке');
-  // Задание ширины поля вывода
-  WritelnFormat('{0,10:f}',3.1415);
-  // Задание количества знаков после запятой для вещественного числа
-  WritelnFormat('{0:f3}',3.1415);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/CharFunc.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/CharFunc.pas
deleted file mode 100644
index 95bed5ad7..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/CharFunc.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Стандартные функции Ord, Chr, OrdUnicode, ChrUnicode
-var 
-  c: char;
-  i: integer;
-
-begin
-  writeln('sizeof(char) = ',sizeof(char));
-  writeln;
-  c := 'Ж';
-  i := Ord(c);
-  writelnFormat('Код символа {0} в кодировке Windows равен {1}',c,i);
-  c := Chr(i);
-  writelnFormat('Символ с кодом {0} в кодировке Windows - это {1}',i,c);
-  writeln;
-  i := OrdUnicode(c);
-  writelnFormat('Код символа {0} в кодировке Unicode равен {1}',c,i);
-  c := ChrUnicode(i);
-  writelnFormat('Символ с кодом {0} в кодировке Unicode - это {1}',i,c);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Dynarray.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Dynarray.pas
deleted file mode 100644
index 63d162f37..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Dynarray.pas
+++ /dev/null
@@ -1,40 +0,0 @@
-// Процедуры и методы работы с динамическим массивом
-uses System;
-
-procedure Print(a: array of integer);
-begin
-  foreach v: integer in a do
-    Write(v, ' ');
-  Writeln;
-end;    
-
-var a: array of integer;
-
-begin
-  SetLength(a,10); // выделение памяти. А можно так: a := new integer[10];
-  
-  // Заполнение массива
-  for var i:=0 to a.Length-1 do
-    a[i] := PABCSystem.Random(100);
-  
-  // Вывод всех элементов массива
-  Print(a);
-  
-  // Сортировка массива (знак & используется для того,
-  // чтобы воспользоваться ключевым словом array при обозначении
-  // класса Array)
-  &Array.Sort(a);
-  Print(a);
-
-  // Обращение массива
-  &Array.Reverse(a);
-  Print(a);
-
-  // Изменение размерамассиав с сохранением элементов. То же делает SetLength
-  &Array.Resize(a,a.Length+2);
-  Print(a);
-
-  // Поиск вхождения элемента в массив
-  var i := &Array.IndexOf(a, 50);
-  Writeln(i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Enum.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Enum.pas
deleted file mode 100644
index db92312ee..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Enum.pas
+++ /dev/null
@@ -1,25 +0,0 @@
-// Перечислимый тип
-type Months = (January,February,March,April,May,June,July,August,September,October,November,December);
-
-var m: Months;
-  
-begin
-  m := February;
-  writeln(m);
-  // Использование констант перечислимого типа после имени типа удобно: после точки intellisense показывает список констант
-  m := Months.April;
-  writeln('Следующий месяц: ',m);
-  Inc(m);
-  writeln('Следующий месяц: ',m);
-  m := Succ(m);  
-  writeln('Следующий месяц: ',m);
-  m := Pred(m);  
-  writeln('Предыдующий месяц: ',m);
-  Dec(m);
-  writeln('Предыдующий месяц: ',m);
-  writeln('Его порядковый номер (нумерация - с нуля): ',Ord(m));
-  // Ошибки нет
-  writeln('Месяц перед январем - выход за границы: ',pred(Months.January));
-  // Ошибки нет
-  writeln('Месяц после декабря - выход за границы: ',succ(Months.December));
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/InitRecords.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/InitRecords.pas
deleted file mode 100644
index 5befeb806..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/InitRecords.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Инициализаторы полей записи
-type 
-  Frac = record
-    num: integer := 0;
-    denom := 1; // автоопределеине типа - denom: integer
-  end;
-  
-var 
-  f: Frac;  
-  f1: Frac := (num: 2; denom: 3);
-
-begin
-  writeln(f.num,'/',f.denom);
-  writeln(f1.num,'/',f1.denom);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointerToRef.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointerToRef.pas
deleted file mode 100644
index 8a07a43a9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointerToRef.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Указатели на ссылочные типы запрещены. Исключение: указатели на строки и динамические массивы
-type
-  A = class
-    i: integer;
-  end;
-
-var p: ^record field: A; end;
-
-begin
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointersVsRef/Pointers.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointersVsRef/Pointers.pas
deleted file mode 100644
index 42aa2fc6d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointersVsRef/Pointers.pas
+++ /dev/null
@@ -1,43 +0,0 @@
-// Выделение динамической памяти
-// Использование указателей для создания односвязного списка
-type 
-  PNode = ^TNode;
-  TNode = record
-    data: integer;
-    next: PNode;
-  end;
-
-function NewNode(d: integer; n: PNode): PNode;
-begin
-  New(Result);
-  Result^.data := d;
-  Result^.next := n;
-end;
-
-var first: PNode;
-  
-begin
-  first := nil;
-  // Добавляем в начало односвязного списка
-  first := NewNode(3,first);
-  first := NewNode(7,first);
-  first := NewNode(5,first);
-  
-  // Вывод односвязного списка
-  writeln('Содержимое односвязного списка: ');
-  var p := first;
-  while p<>nil do
-  begin
-    write(p^.data,' ');
-    p := p^.next;
-  end;
-  
-  // Разрушение односвязного списка
-  p := first;
-  while p<>nil do
-  begin
-    var p1 := p;
-    p := p^.next;
-    Dispose(p1); // Память обязательно возвращать
-  end;
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointersVsRef/References.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointersVsRef/References.pas
deleted file mode 100644
index fabbe9d1f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/PointersVsRef/References.pas
+++ /dev/null
@@ -1,35 +0,0 @@
-// Использование ссылок вместо указателей для создания односвязного списка
-// Мы рекомендуем именно этот способ
-type 
-  Node = class
-    data: integer;
-    next: Node;
-    constructor (d: integer; n: Node);
-    begin
-      data := d;
-      next := n;
-    end;
-  end;
-
-// Переменная типа "класс" представляет собой ссылку на объект, выделяемый конструктором
-var first: Node;
-  
-begin
-  first := nil;
-  // Добавляем в начало односвязного списка
-  first := new Node(3,first);
-  first := new Node(7,first);
-  first := new Node(5,first);
-  
-  // Вывод односвязного списка. ^ отсутствуют
-  writeln('Содержимое односвязного списка (использование ссылок вместо указателей): ');
-  var p := first;
-  while p<>nil do
-  begin
-    write(p.data,' ');
-    p := p.next;
-  end;
-  
-  // Разрушение односвязного списка
-  first := nil; // Сборщик мусора соберет память, на которую никто больше не указывает
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Sets.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Sets.pas
deleted file mode 100644
index a404ba7bd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/Sets.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Работа с множествами
-// Базовый тип для множества может быть произвольным
-var 
-  s1: set of string := ['Иванов','Попов','Сидорова','Петров'];
-  s2: set of string := ['Козлов','Петров','Иванов'];
-begin
-  writeln('Множество s1: ',s1);
-  writeln('Множество s2: ',s2);
-  writeln('Объединение множеств s1 и s2: ',s1+s2);
-  writeln('Пересечение множеств s1 и s2: ',s1*s2);
-  writeln('Разность множеств s1 и s2: ',s1-s2);
-  Include(s1,'Умнов');
-  Exclude(s1,'Иванов');
-  writeln('Множество s1: ',s1);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringInteger.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringInteger.pas
deleted file mode 100644
index ce86a50a3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringInteger.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Преобразование целое <-> строка в новом стиле 
-var 
-  s: string;
-  i: integer;
-
-begin
-  // Преобразование целого в строку
-  i := 234;
-  s := i.ToString;
-  writelnFormat('Целое: {0}. После преобразования к строке: ''{1}''',i,s);
-  
-  // Преобразование строки в целое 
-  s := '567';
-  if integer.TryParse(s,i) then
-    writelnFormat('Строка: ''{0}''. После преобразования к целому: {1}',s,i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringMethods.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringMethods.pas
deleted file mode 100644
index 609eb8234..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringMethods.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Строки. Методы класса string
-var 
-  s: string := '  Pascal__NET  ';
-  s1: string := 'NET';
-    
-begin
-  writeln('Исходная строка: ''',s,'''');
-  s := s.Trim;
-  writeln('После вызова s.Trim: ''',s,'''');
-  var p := s.IndexOf(s1); // Индексация - с нуля
-  writelnFormat('Позиция подстроки ''{0}'' в строке ''{1}'' равна {2}',s1,s,p);
-  s := s.Remove(6,2);
-  writeln('После удаления символов __: ',s);
-  s := s.Insert(6,'ABC.');
-  writeln('После вставки подстроки ''ABC.'': ',s);
-  writeln('Первая часть строки: ',s.Substring(0,9));
-  writeln('Последняя часть строки: ',s.Substring(10,3));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringTypes.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringTypes.pas
deleted file mode 100644
index 7e89b95d1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StringTypes.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Строки string, string[n], shortstring
-var 
-  s: string; // память, занимаемая s, зависит от ее длины
-  s10: string[10]; // память под ss фиксирована
-  ss: shortstring := s;
-  f: file of string[10];
-  // f: file of string; - ошибка
-
-begin
-  s := '12345678901234567890';
-  s10 := s; // обрезание
-  writeln(s10);
-  s += s; s += s;
-  s += s; s += s;
-  writeln(s);
-  writeln('Длина строки = ',s.Length);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StructTypeEquiv.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StructTypeEquiv.pas
deleted file mode 100644
index 8648f73fd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/StructTypeEquiv.pas
+++ /dev/null
@@ -1,23 +0,0 @@
-// Иллюстрация структурной эквивалентности для некоторых типов. В Delphi - именная эквивалентность
-var 
-  a: array of integer;
-  a1: array of integer;
-  s: set of real;
-  s1: set of real;
-  p: procedure (i: integer);
-  p1: procedure (i: integer);
-  r: ^integer;
-  r1: ^integer;
-
-procedure proc(aa: array of integer; ss: set of real; pp: procedure (i: integer); rr: ^integer);
-begin
-  
-end;
-
-begin
-  a := a1;
-  s := s1;
-  p := p1;
-  r := r1; // В Delphi ни одно из этих присваиваний не сработает
-  proc(a,s,p,r); // Этот вызов - тоже
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/UntypedFile.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/UntypedFile.pas
deleted file mode 100644
index 24bb11de5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/UntypedFile.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Бестиповые файлы
-var 
-  f: file;
-  i: integer;
-  r: real;
-  s: string;
-
-begin
-  assign(f,'a.dat');
-  rewrite(f);
-  // Записываем в файл данные любых типов
-  write(f,1,2.5,'Hello');  
-  close(f);
-  reset(f);
-  // Считываем эти данные из файла
-  read(f,i,r,s);
-  write(i,' ',r,' ',s);
-  close(f);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/a.dat b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/a.dat
deleted file mode 100644
index 01d0483f7..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/02_Types/a.dat and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/FuncParams.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/FuncParams.pas
deleted file mode 100644
index e23578348..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/FuncParams.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Переменное число параметров 
-function Sum(params arg: array of integer): integer;
-begin
-  Result := 0;
-  foreach x: integer in arg do
-    Result += x;
-end;
-
-begin
-  writeln(Sum(1,2,3));
-  writeln(Sum(4,5,6,7));
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/Overload.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/Overload.pas
deleted file mode 100644
index f3b5eaef1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/Overload.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Перегрузка имен подпрограмм
-procedure proc(i: integer);
-begin
-  writeln('integer');
-end;
-
-procedure proc(c: char);
-begin
-  writeln('char');
-end;
-
-procedure proc(r: real);
-begin
-  writeln('real');
-end;
-
-begin
-  proc(1);
-  proc(2.5);
-  proc('d');
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/ProcVars.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/ProcVars.pas
deleted file mode 100644
index 073617a04..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/ProcVars.pas
+++ /dev/null
@@ -1,39 +0,0 @@
-// Все возможные способы инициализации поцедурной переменной
-// Процедурный тип реализован через делегаты .NET, для него доступны операции +=, -=
-
-procedure pp;
-begin
-  writeln('Вызов обычной процедуры');
-end;
-
-type 
-  A = class
-  private
-    x: integer;
-  public  
-    constructor Create(xx: integer);
-    begin
-      x := xx;
-    end;
-    procedure pp;
-    begin
-      writeln('Вызов метода класса, значение поля равно ',x);
-    end;
-    class procedure ppstatic; 
-    begin
-      writeln('Вызов классового метода класса');
-    end;
-  end;
-
-var p: procedure;
-
-begin
-  p := pp;
-  var a1: A := new A(5);
-  p += a1.pp;
-  p += A.ppstatic;
-  p;
-  writeln;
-  p -= pp;
-  p;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/SwapT.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/SwapT.pas
deleted file mode 100644
index 645e791bf..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/03_Subroutines/SwapT.pas
+++ /dev/null
@@ -1,23 +0,0 @@
-// Обобщенные функции
-// Выведение типа T по типам параметров
-
-procedure Swap<T>(var a,b: T);
-begin
-  var v := a;
-  a := b;
-  b := v;
-end;
-
-begin
-  var a := 2;
-  var b := 3;
-  writelnFormat('До Swap a={0}, b={1}',a,b);
-  Swap(a,b);
-  writelnFormat('После Swap a={0}, b={1}',a,b);
-  var c := 2.5;
-  var d := 3.3;
-  writeln;
-  writelnFormat('До Swap c={0}, d={1}',c,d);
-  Swap(c,d);
-  writelnFormat('После Swap c={0}, d={1}',c,d);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/CallC#/CallCS.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/CallC#/CallCS.pas
deleted file mode 100644
index d118c77ac..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/CallC#/CallCS.pas
+++ /dev/null
@@ -1,9 +0,0 @@
-// Вызов статического метода add класса Class1, помещенного в пространство имен ClassLibrary1
-// Класс Class1 помещен в библиотеку ClassLibrary1.dll, откомпилированную на C#
-
-{$reference ClassLibrary1.dll}
-uses ClassLibrary1;
-
-begin
-  writeln(Class1.add(2,3));  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/CallC#/ClassLibrary1.dll b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/CallC#/ClassLibrary1.dll
deleted file mode 100644
index efed75e8e..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/CallC#/ClassLibrary1.dll and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/MyDll.dll b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/MyDll.dll
deleted file mode 100644
index 9a9c8f827..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/MyDll.dll and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/MyDll.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/MyDll.pas
deleted file mode 100644
index 8d5974158..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/MyDll.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Dll-библиотека
-library MyDll;
-
-const n = 10;
-
-function add(a,b: integer): integer;
-begin
-  Result := a + b;
-end;
-
-procedure PrintPascalABCNET;
-begin
-  writeln('PascalABC.NET');
-end;
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/main.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/main.pas
deleted file mode 100644
index 42e9893c6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/DllTest/main.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Это - главная программа
-// Именами из dll-библиотеки, написанной на PascalABC.NET, можно пользоваться, 
-// не подключая пространства имен
-{$reference mydll.dll}
-
-begin
-  PrintPascalABCNET;
-  writeln(n);
-  writeln(add(2,3));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/CallNative.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/CallNative.pas
deleted file mode 100644
index 294747533..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/CallNative.pas
+++ /dev/null
@@ -1,6 +0,0 @@
-// Вызов функции из обычной dll
-function add(a,b: integer): integer; external 'NativeDll.dll' name 'add'; // объявление внешней функции
-
-begin // основная программа
-  writeln(add(2,3));
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/NativeDll.dll b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/NativeDll.dll
deleted file mode 100644
index 6b15dfe92..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/NativeDll.dll and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/NativeDll.dpr b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/NativeDll.dpr
deleted file mode 100644
index b050bdd86..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/NativeDll/NativeDll.dpr
+++ /dev/null
@@ -1,13 +0,0 @@
-// ��������������� � Delphi
-library NativeDll;
-
-function add(a,b: integer): integer; stdcall;
-begin
-  Result := a+b;
-end;
-
-exports
-  add;
-begin
-end.
- 
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MainProgram.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MainProgram.pas
deleted file mode 100644
index 98617cdfc..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MainProgram.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-uses MyUnit; // подключили модуль
-
-var a: array of integer := (1,5,3,7,3,6,4,5,1,8,3,5,6);
-
-begin
-  writeln('Максимальный элемент в массиве = ',Max(a));
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MyUnit.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MyUnit.pas
deleted file mode 100644
index 70fb761e3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MyUnit.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-/// Модуль упрощенной структуры
-unit MyUnit; // имя модуля должно совпадать с именем файла
-
-// Документирующие комментарии отображаются при наведении на имя курсора мыши
-/// Возвращает максимальный элемент в массиве
-function Max(a: array of integer): integer;
-begin
-  Result := integer.MinValue;
-  foreach x: integer in a do
-    if x>Result then 
-      Result := x;
-end;
-
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MyUnit.pcu b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MyUnit.pcu
deleted file mode 100644
index e6f17bc5a..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SimpleUnit/MyUnit.pcu and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SystemUnitTest.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SystemUnitTest.pas
deleted file mode 100644
index 262e7f035..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/04_Units/SystemUnitTest.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Иллюстрация поиска имен вначале справа налево в секции uses, а затем в системном модуле PABCSystem 
-uses System;
-
-begin
-  // Имя Random, определенное в пространстве имен System, перекрывает имя Random 
-  // в модуле PABCSystem, который неявно подключается первым
-  var r: Random := new Random();
-  writeln(r.Next(10));
-  // Именно поэтому перед данным Random необходимо явно указывать имя модуля, в котором он находится
-  var i: integer := PABCSystem.Random(10);
-  writeln(i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/ABC.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/ABC.pas
deleted file mode 100644
index de94d7aba..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/ABC.pas
+++ /dev/null
@@ -1,41 +0,0 @@
-// Модуль ABCObjects. Изменение свойств объекта
-uses ABCObjects,GraphABC;
-
-const delay = 300;
-
-procedure Pause;
-begin
-  Sleep(delay);
-end;
-
-var 
-  r: RectangleABC;
-  z: StarABC;
-
-begin
-  z := new StarABC(Window.Center.X,Window.Center.Y,70,30,6,Color.Green);
-  r := new RectangleABC(100,100,200,100,Color.Gold);
-  Pause;
-  r.Center := Window.Center;
-  Pause;
-  r.Height := 70;
-  Pause;
-  r.Width := 220;
-  Pause;
-  z.Radius := 150;
-  Pause;
-  z.Color := Color.LightCoral;
-  Pause;
-  z.Count := 5;
-  Pause;
- 
-  r.Text := 'PascalABC.NET';
-  r.Color := Color.Gainsboro;
-  Pause;
-  r.BorderWidth := 3;
-  r.BorderColor := Color.Blue;
-  Pause;
-  r.Center := Window.Center;
-  Pause;
-//  r.Bordered := False;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/GraphABCTest.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/GraphABCTest.pas
deleted file mode 100644
index cd8f125a1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/GraphABCTest.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Иллюстрация простейших возможностей GraphABC
-uses GraphABC;
-
-begin
-  Coordinate.Origin := Window.Center;
-  Coordinate.SetMathematic;
-  Brush.Color := Color.LightSkyBlue;
-  while True do
-  begin
-    LockDrawing;
-    ClearWindow;
-    Ellipse(-120,-70,120,70);
-    Line(0,0,200,0);
-    Line(0,0,0,200);
-    Redraw;
-    Coordinate.Angle := Coordinate.Angle + 1;
-    Sleep(100);
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/MouseEvents.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/MouseEvents.pas
deleted file mode 100644
index f48183e0a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/05_Graph/MouseEvents.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Иллюстрация обработки событий мыши
-uses GraphABC;
-
-procedure MouseDown(x,y,mb: integer);
-begin
-  MoveTo(x,y);
-end;
-
-procedure MouseMove(x,y,mb: integer);
-begin
-  if mb=1 then LineTo(x,y);
-end;
-
-begin
-  // Привязка обработчиков к событиям
-  OnMouseDown := MouseDown;
-  OnMouseMove := MouseMove
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/AllFromObject.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/AllFromObject.pas
deleted file mode 100644
index f33bcd697..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/AllFromObject.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Все типы - производные от Object
-var 
-  i: integer;
-  r: real;
-  o: object;
-
-begin
-  o := i;
-  writeln(o.GetType);
-  o := r;
-  writeln(o.GetType);
-  if o.GetType=typeof(real) then
-    writeln('В переменной o - вещественный тип');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Boxing.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Boxing.pas
deleted file mode 100644
index 8f7eec850..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Boxing.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Упаковка-распаковка размерных типов
-var 
-  i: integer := 2;
-  r: real := 3.14;
-  o: object;
-
-begin
-  o := i; // Упаковка: объект размерного типа integer упаковывается в объект ссылочного типа, 
-          // котрый и присваивается переменной o
-          // Преобразование типов при упаковке - неявное
-  writeln(integer(o)); // Распаковка: из упакованного объекта извлекается значение        
-                       // Преобразование типов при распаковке - явное
-  o := r;
-  writeln(real(o));
-  
-  try // При неверном преобразовании типов генерируется исключение InvalidCastException
-    writeln(shortint(o));
-  except
-    on e: Exception do
-      writeln(e.GetType);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/ClassConstructor.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/ClassConstructor.pas
deleted file mode 100644
index 11679be8a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/ClassConstructor.pas
+++ /dev/null
@@ -1,36 +0,0 @@
-// Пример использования классового (статического) конструктора
-type 
-  Person = class
-  private
-    class arr: array of Person; // Классовое поле. Связано не с переменной класса, а с классом. 
-    name: string;
-    age: integer;
-  public
-    class constructor; // Конструктор класса. Вызывается до создания первого объекта класса и до вызова любого классового метода
-    begin
-      writeln('  Вызван классовый конструктор');
-      SetLength(arr,3);
-      arr[0] := new Person('Иванов',20);
-      arr[1] := new Person('Петрова',19);
-      arr[2] := new Person('Попов',35);
-    end;
-    constructor (n: string; a: integer);
-    begin
-      name := n;
-      age := a;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('Имя: {0}   Возраст: {1}',name,age);      
-    end;
-    class function RandomPerson: Person; // Классовый метод. Может обращаться только к классовым полям
-    begin
-      Result := arr[Random(3)];
-    end;
-  end;
-  
-begin
-  writeln('Случайные персоны');
-  for var i:=1 to 5 do
-    writeln(Person.RandomPerson); // Вызов классового метода
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/GarbageCollection.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/GarbageCollection.pas
deleted file mode 100644
index e9361cc02..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/GarbageCollection.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Сборка мусора: для освобождения объекта присвойте переменной nil
-uses System.Collections.Generic;
-
-var l: List<integer> := new List<integer>;
-
-begin
-  l.Add(3);
-  l.Add(5);
-  l.Add(2);
-  foreach x:integer in l do
-    write(x,' ');
-  l := nil; // после этого память, занимаемая динамическим массивом, будет собрана сборщиком мусора 
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Interf.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Interf.pas
deleted file mode 100644
index 7deff8846..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Interf.pas
+++ /dev/null
@@ -1,42 +0,0 @@
-// Иллюстрация использованя интерфейсов
-type
-  IShape = interface
-    procedure Draw;
-    property X: integer read;
-    property Y: integer read;
-  end;
-
-  ICloneable = interface
-    function Clone: Object;
-  end;
-
-  Point = class(IShape,ICloneable)
-  private
-    xx,yy: integer;
-  public
-    constructor Create(x,y: integer);
-    begin
-      xx := x; yy := y;
-    end;  
-    procedure Draw; begin end;
-    property X: integer read xx;
-    property Y: integer read yy;
-    function Clone: Object;
-    begin
-      Result := new Point(xx,yy);
-    end;
-  end;
-
-var 
-  p: Point := new Point(2,3);
-  ish: IShape := p;
-  icl: ICloneable := p;
-  
-begin
-  writeln(ish.X,' ',ish.Y);
-  var p1: Point := Point(icl.Clone);
-  p := nil;
-  writeln(p1.X,' ',p1.Y);
-  writeln(ish is Point);
-  writeln(ish is ICloneable); // Cross cast!
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/OperatorOverloading.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/OperatorOverloading.pas
deleted file mode 100644
index 1b62ef27b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/OperatorOverloading.pas
+++ /dev/null
@@ -1,54 +0,0 @@
-// Перегрузка операций
-type 
-  Frac = record
-  private
-    num,denom: integer;
-  public  
-    constructor (n,d: integer);
-    begin
-      num := n;
-      denom := d;
-    end;
-    class function operator+(a,b: Frac): Frac; 
-    begin
-      Result := new Frac(a.num*b.denom+b.num*a.denom,a.denom*b.denom); 
-    end; 
-    class function operator-(a,b: Frac): Frac; 
-    begin
-      Result := new Frac(a.num*b.denom-b.num*a.denom,a.denom*b.denom); 
-    end; 
-    class function operator*(a,b: Frac): Frac; 
-    begin
-      Result := new Frac(a.num*b.num,a.denom*b.denom); 
-    end;
-    class function operator/(a,b: Frac): Frac; 
-    begin
-      Result := new Frac(a.num*b.denom,a.denom*b.num); 
-    end;
-    class function operator=(a,b: Frac): boolean; 
-    begin
-      Result := (a.num = b.num) and (a.denom = b.denom);
-    end; 
-    class procedure operator+=(var a: Frac; b: Frac); 
-    begin
-      a := a + b;
-    end; 
-    function ToString: string; override;
-    begin
-      Result := Format('{0}/{1}',num,denom);
-    end;
-  end;
-
-var 
-  f := new Frac(1,2);
-  f1 := new Frac(3,5);
-
-begin
-  writelnFormat('{0} + {1} = {2}',f,f1,f+f1);
-  writelnFormat('{0} - {1} = {2}',f,f1,f-f1);
-  writelnFormat('{0} * {1} = {2}',f,f1,f*f1);
-  writelnFormat('{0} / {1} = {2}',f,f1,f/f1);
-  writeln(f1=f);
-  f += f1;
-  writeln(f);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/PersonInternal.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/PersonInternal.pas
deleted file mode 100644
index e146f930e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/PersonInternal.pas
+++ /dev/null
@@ -1,30 +0,0 @@
-// Описание методов внутри интерфейса класса
-// Удобство: методы можно реализовывать сразу после объявления
-// Неудобство: для больших классов интерфейс трудно читается
-type 
-  Person = class
-  private
-    // Поля класса, как правило, приватны. Доступ к ним - через методы и свойства
-    name: string;
-    age: integer;
-  public
-    // Конструктор неявно имеет имя Create
-    constructor (n: string; a: integer);
-    begin
-      name := n; age := a;
-    end;
-    procedure Print;
-    begin
-      writeln('Имя: ',name,'  Возраст: ',age);
-    end;
-  end;
-
-var p,p1: Person;
-
-begin
-  p := new Person('Иванов',20); // Новый синтаксис вызова конструктора (рекомендуется)
-  p.Print;
-  p1 := Person.Create('Попов',19); // Старый синтаксис вызова конструктора (не рекомендуется)
-  p1.Print;
-  // Деструкторы отсутствуют, вместо них - автоматическая сборка мусора
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Records.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Records.pas
deleted file mode 100644
index e95d97a88..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Records.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Иллюстрация конструкторов и методов в записях
-// Если переопределен метод ToString, то он вызывается при выводе объекта этого типа процедурой writeln 
-type
-  SexType = (Male, Female);
-  Person = record
-    Name: string;
-    Age, Weight: integer;
-    Sex: SexType;
-    constructor (Name: string; Age, Weight: integer; Sex: SexType);
-    begin
-      Self.Name := Name;
-      Self.Age := Age;
-      Self.Sex := Sex;
-      Self.Weight := Weight;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('Имя: {0}   Пол: {1}   Возраст: {2}   Вес: {3}', Name, Sex, Age, Weight);
-    end;
-  end;
-  
-var p: Person := new Person('Иванов',20,70,SexType.Male);
-
-begin
-  writeln(p);
-end.  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Stack.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Stack.pas
deleted file mode 100644
index d818e96ea..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Stack.pas
+++ /dev/null
@@ -1,56 +0,0 @@
-// Демонстрация создания простого класса стека на базе массива
-type
-  Stack<T> = class
-  private
-    a: array of T;
-    last: integer;
-  public  
-    constructor Create(sz: integer);
-    begin
-      SetLength(a,sz);
-      last := 0;
-    end;
-    constructor Create;
-    begin
-      Create(100);
-    end;
-    procedure push(i: T);
-    begin
-      a[last] := i;
-      Inc(last);
-    end;
-    function pop: T;
-    begin
-      Dec(last);
-      pop := a[last];
-    end;
-    function top: T;
-    begin
-      top := a[last-1];
-    end;
-    function empty: boolean;
-    begin
-      Result := (last=0);
-    end;
-    function ToString: string; override;
-    begin
-      Result := '';
-      for var i:=0 to last-1 do
-        Result += a[i]+' ';
-    end;
-  end;
-  
-var s: Stack<integer>;
-
-begin
-  s := new Stack<integer>;
-  s.push(7);
-  s.push(2);
-  s.push(5);
-  s.push(4);
-  writeln(s);
-  while not s.empty do
-    write(s.pop,' ');
-end.
-
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Where.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Where.pas
deleted file mode 100644
index 4b932d35a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/Where.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Секция Where - ограничение на типы параметров
-uses System,System.Collections.Generic;
-
-type
-   MyClass<T,T1> = class 
-   where T: System.Array,ICloneable;
-   where T1: constructor;
-     procedure p(obj1: T; var obj2: T1);
-     begin
-       obj1.Clone();
-       obj2 := new T1;
-     end;
-   end;
-   IntArr = array of integer;
-   
-var 
-  m: MyClass<IntArr,integer>;
-  //m1: MyClass<integer>; // ошибка
-
-begin
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/WriteRecord.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/WriteRecord.pas
deleted file mode 100644
index d35db749a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/06_Classes/WriteRecord.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Иллюстрация конструкторов и методов в записях
-// Если переопределен метод ToString, то он вызывается при выводе объекта этого типа процедурой writeln 
-type
-  SexType = (Male, Female);
-  Person = record
-    Name: string;
-    Age, Weight: integer;
-    Sex: SexType;
-    constructor (Name: string; Age, Weight: integer; Sex: SexType);
-    begin
-      Self.Name := Name;
-      Self.Age := Age;
-      Self.Sex := Sex;
-      Self.Weight := Weight;
-    end;
-    function ToString: string; override;
-    begin
-      Result := string.Format('Имя: {0}   Возраст: {1}   Вес: {2}   Пол: {3}', Name, Age, Weight, Sex);
-    end;
-  end;
-  
-var p: Person := new Person('Иванов',20,70,SexType.Male);
-
-begin
-  writeln(p);
-end.  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/DateTime.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/DateTime.pas
deleted file mode 100644
index 01e72e36d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/DateTime.pas
+++ /dev/null
@@ -1,31 +0,0 @@
-Uses System;
-
-var d1, d2, d3: DateTime; // Объекты для хранения даты и времени
-    ts: TimeSpan; // Объект для хранения промежутков времени
-
-begin
-  // Получение текущей даты - вызов статического метода
-  d1 := DateTime.Now; 
-  Writeln(d1);
-  
-  // Дата и время через один месяц
-  d2 := d1.AddMonths(1);
-  Writeln(d2);
-
-  // Дата и время на 12 часов раньше
-  d2 := d1.AddHours(-12);
-  Writeln(d2);
-
-  // Формирование даты - вызов конструктора объекта (год, месяц,число)
-  d3 := new DateTime(2001, 1, 1);
-  Writeln(d3);
-  
-  // Определение времени, прошедшего с начала тысячелетия (разность дат)
-  ts := d1.Subtract(d3);
-
-  // Промежуток времени в днях (результат - вещественное число)
-  Writeln(ts.TotalDays);
-  
-  // Промежуток времени в днях, часах, минутах и секундах
-  Writeln(ts.Days, ' ', ts.Hours, ':', ts.Minutes, ':', ts.Seconds);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/FormWebBrowser.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/FormWebBrowser.pas
deleted file mode 100644
index 840d6506d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/FormWebBrowser.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Иллюстрация использования компонента WebBrowser
-{$apptype windows}
-{$reference System.Windows.Forms.dll}
-
-uses 
-  System.Windows.Forms,
-  System.Net;
-
-begin
-  var myForm := new Form; 
-  var w := new WebBrowser;
-  w.Url := new System.Uri('http://pascalabc.net');
-  w.Dock := Dockstyle.Fill; 
-  myForm.Controls.Add(w);
-  myForm.WindowState := FormWindowState.Maximized; 
-  Application.Run(myForm);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/LinkedList.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/LinkedList.pas
deleted file mode 100644
index dd1474e39..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/LinkedList.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Использование LinkedList - двусвязного списка стандартной библиотеки - и его итератора
-uses System.Collections,System.Collections.Generic;
-
-procedure print(l: ICollection);
-begin
-  foreach x: integer in l do
-    write(x,' ');
-  writeln;  
-end;
-
-var l: LinkedList<integer> := new LinkedList<integer>;
-
-begin
-  l.AddLast(3);
-  l.AddLast(5);
-  l.AddLast(7);
-  l.AddFirst(2);
-  print(l);
-  
-  var a := new integer[10];
-  l.CopyTo(a,0);
-  print(a);
-  
-  var lit: LinkedListNode<integer> := l.Find(5);  
-  l.AddBefore(lit,777);
-  print(l);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/Reflection.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/Reflection.pas
deleted file mode 100644
index 99deddba5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/Reflection.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-// Отражение типов. Выводятся все члены типа DateTime
-uses System,System.Reflection;
-
-begin
-  var bf := BindingFlags.Public or BindingFlags.NonPublic or BindingFlags.Instance or BindingFlags.Static;
-  var t: &Type := typeof(DateTime);
-  var mi := t.GetMembers(bf);
-  foreach m: MemberInfo in mi do
-    writeln(m);
-end.
-  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/WinFormWithButton.pas b/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/WinFormWithButton.pas
deleted file mode 100644
index a0f0c2c8c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!MainFeatures/07_NetLibs/WinFormWithButton.pas
+++ /dev/null
@@ -1,29 +0,0 @@
-// Создание оконного приложения
-{$apptype windows}
-{$reference System.Windows.Forms.dll}
-
-uses 
-  System,
-  System.Windows.Forms;
-
-var 
-  myForm: Form;
-  myButton: Button;
-  
-procedure MyButtonClick(sender: Object; e: EventArgs);
-begin
-  myForm.Close;
-end;
-
-begin
-  myForm := new Form;
-  myForm.Text := 'Оконное приложение';
-  myButton := new Button;
-  myButton.Text := '  Закрыть окно  ';
-  myButton.AutoSize := True;
-  myButton.Left := 90;
-  myButton.Top := 110;
-  myForm.Controls.Add(myButton);
-  myButton.Click += MyButtonClick;
-  Application.Run(myForm);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Assign1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Assign1.pas
deleted file mode 100644
index ac5fe9ee8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Assign1.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Использование вспомогательных переменных
-var r: real;
-
-begin
-  write('Введите r: ');
-  readln(r);
-  var r2,r4,r8: real; // вспомогательные переменные
-  r2 := r * r;
-  r4 := r2 * r2;
-  r8 := r4 * r4;
-  writeln(r,' в степени 8 = ',r8);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Assign2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Assign2.pas
deleted file mode 100644
index 13b2ad3a9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Assign2.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Перемена местами значений двух переменных с использованием третьей
-var x,y: real;
-
-begin
-  write('Введите x,y: ');
-  readln(x,y);
-  var v: real; // вспомогательная переменная
-  v := x;
-  x := y;
-  y := v;
-  writeln('Новые значения x,y: ',x,' ',y);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/AssignExt.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/AssignExt.pas
deleted file mode 100644
index 109d1f089..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/AssignExt.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Присваивания += -= *= /=
-var 
-  i: integer;
-  r: real;
-
-begin
-  i := 1;
-  writeln('i := 1; i = ',i);
-  i += 2; // Увеличение на 2
-  writeln('i += 2; i = ',i);
-  i *= 3; // Увеличение в 3 раза
-  writeln('i *= 3; i = ',i);
-  writeln;
-  r := 6;
-  writeln('r := 6; r = ',r);
-  r /= 2;
-  writeln('r /= 2; r = ',r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Boolean1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Boolean1.pas
deleted file mode 100644
index 630763ae6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Boolean1.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Логический тип. Логические выражения с and, or и not
-var 
-  b: boolean;
-  x: integer;
-begin
-  write('Введите x (от 1 до 9): ');
-  readln(x);
-  b := x=5;
-  writeln('x=5? ',b);
-  b := (x>=3) and (x<=5);
-  writeln('x=3,4 или 5? ',b);
-  b := (x=3) or (x=4) or (x=5);
-  writeln('x=3,4 или 5? ',b);
-  b := not Odd(x);
-  writeln('x - четное? ',b);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations1.pas
deleted file mode 100644
index f6ba098ae..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations1.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Вывод результатов вычислений
-begin
-  writeln('Вычисления:');
-// Вывод пустой строки
-  writeln;
-  writeln('121 + 363 = ',121+363);
-  writeln('121 - 363 = ',121-363);
-  writeln('121 * 363 = ',121*363);
-  writeln('121 / 363 = ',121/363);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations2.pas
deleted file mode 100644
index ff692f587..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations2.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Вывод результатов вычислений. Используются именованные константы
-const 
-  a = 121;
-  b = 363;
-
-begin
-  writeln('Вычисления:');
-  writeln;
-  writeln(a,' + ',b,' = ',a+b);
-  writeln(a,' - ',b,' = ',a-b);
-  writeln(a,' * ',b,' = ',a*b);
-  writeln(a,' / ',b,' = ',a/b);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations3.pas
deleted file mode 100644
index 255a9b131..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Calculations3.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Вывод результатов вычислений. Используются переменные и процедура ввода
-var a,b: integer;
-
-begin
-  writeln('Введите a и b:');
-  readln(a,b);
-  writeln;
-  writeln(a,' + ',b,' = ',a+b);
-  writeln(a,' - ',b,' = ',a-b);
-  writeln(a,' * ',b,' = ',a*b);
-  writeln(a,' / ',b,' = ',a/b);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/DivMod1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/DivMod1.pas
deleted file mode 100644
index 37fc92a04..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/DivMod1.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Операции div и mod
-var a: integer;
-
-begin 
-  write('Введите a: ');
-  readln(a);
-  writeln('Последняя цифра числа: ',a mod 10);
-  writeln('Число без последней цифры: ',a div 10);
-  writeln('Если число a четно, то 0: ',a mod 2);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/DivMod2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/DivMod2.pas
deleted file mode 100644
index 7a008006b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/DivMod2.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Операции div и mod
-var a: integer := 247;
-
-begin 
-  write('Цифры числа в обратном порядке: ');
-  // Выводим последнюю цифру
-  write(a mod 10,' ');
-  // Отбрасываем последнюю цифру
-  a := a div 10;
-  write(a mod 10,' ');
-  a := a div 10;
-  write(a mod 10,' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/HelloWorld.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/HelloWorld.pas
deleted file mode 100644
index 0ce413328..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/HelloWorld.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-// Первая программа
-program HelloWorld;
-begin
-  writeln('Привет, мир!');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Random1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Random1.pas
deleted file mode 100644
index e8738e012..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Random1.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Генерация случайного числа
-var
-  i: integer;
-  r: real;
-
-begin
-  i := Random(100);
-  writeln('Случайное целое в диапазоне 0..99: ',i);
-  i := Random(2,5);
-  writeln('Случайное целое в диапазоне 2..5: ',i);
-  r := Random;
-  writeln('Случайное вещественное в диапазоне [0,1): ',r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Random2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Random2.pas
deleted file mode 100644
index edb94ebd9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Random2.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Бросание кубиков
-
-var k1,k2: integer;
-
-begin
-  k1 := Random(1,6);
-  k2 := Random(1,6);
-  writeln('Очки на кубиках: ',k1,' ',k2);
-  writeln('Сумма очков: ',k1+k2);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/ReadString.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/ReadString.pas
deleted file mode 100644
index a214b05b6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/ReadString.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Ввод строки
-var s: string;
-
-begin
-  write('Введите Ваше имя: ');
-  readln(s);
-  writeln('Здравствуйте, ',s);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Shl.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Shl.pas
deleted file mode 100644
index 5a381c181..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/Shl.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Демонстрация операции shl
-begin
-  writeln('Степени двойки');
-  writeln(' n         2^n');
-  for var i:=0 to 30 do
-    writeln(i:2,(1 shl i):12);
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StandFun.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StandFun.pas
deleted file mode 100644
index 5d820f901..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StandFun.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Стандартные функции
-var x: real;
-
-begin 
-  write('Введите x: ');
-  readln(x);
-  writeln('Квадрат ',x,' равен ',sqr(x));
-  writeln(x,' в степени 5 равно ',power(x,5));
-  writeln('Квадратный корень из ',x,' равен ',sqrt(x));
-  writeln('Модуль ',x,' равен ',abs(x));
-  writeln('Натуральный логарифм ',x,' равен ',ln(x));
-  writeln('Синус ',x,' равен ',sin(x));
-  writeln('Косинус ',x,' равен ',cos(x));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StandardTypes.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StandardTypes.pas
deleted file mode 100644
index 6eb0c2b4d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StandardTypes.pas
+++ /dev/null
@@ -1,33 +0,0 @@
-/// Стандартные размерные типы данных и их размер
-var 
-  i: integer;
-  j: shortint;
-  k: smallint;
-  l: longint; // синоним integer
-  i64: int64;
-  b: byte;
-  w: word;
-  lw: longword;
-  car: cardinal; // синоним longword
-  ui64: uint64;
-  r: real;
-  d: double; // синоним real
-  sn: single;
-  c: char;
-  
-begin
-  writeln('sizeof(integer) = ':20, sizeof(integer));
-  writeln('sizeof(shortint) = ':20,sizeof(shortint));
-  writeln('sizeof(smallint) = ':20,sizeof(smallint));
-  writeln('sizeof(longint) = ':20, sizeof(longint));
-  writeln('sizeof(int64) = ':20,   sizeof(int64));
-  writeln('sizeof(byte) = ':20,    sizeof(byte));
-  writeln('sizeof(word) = ':20,    sizeof(word));
-  writeln('sizeof(longword) = ':20,sizeof(longword));
-  writeln('sizeof(cardinal) = ':20,sizeof(cardinal));
-  writeln('sizeof(uint64) = ':20,  sizeof(uint64));
-  writeln('sizeof(real) = ':20,    sizeof(real));
-  writeln('sizeof(double) = ':20,  sizeof(double));
-  writeln('sizeof(single) = ':20,  sizeof(single));
-  writeln('sizeof(char) = ':20,    sizeof(char));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StringPlus.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StringPlus.pas
deleted file mode 100644
index f267a010f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/StringPlus.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Сложение строк
-var s1: string := 'Pascal';
-var s2: string := 'NET';
-
-begin 
-  writeln(s2+'-'+s1);
-  writeln(s1+'.'+s2);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/WriteFormat.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/WriteFormat.pas
deleted file mode 100644
index 81b23cce6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/01_First/WriteFormat.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-/// Использование процедуры WritelnFormat
-begin
-  // Вывод в обратном порядке
-  WritelnFormat('{2},{1},{0}',1,2,3);
-  // Вывод фигурных скобочек
-  WritelnFormat('{{}}{0}','Вывод фигурных скобочек в форматной строке');
-  // Задание количества знаков после запятой для вещественного числа
-  WritelnFormat('{0:f3}',3.1415);
-  // Задание ширины поля вывода
-  WritelnFormat('{0,10:f}',3.1415);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError1.pas
deleted file mode 100644
index 89b2f9ac6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError1.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Исправьте ошибку компиляции.
-// Обратите внимание, что курсор позиционируется в конце слова, вызвавшего ошибку
-var i: integer
-
-begin
-  i := 2;
-  writeln(i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError2.pas
deleted file mode 100644
index 965d64a33..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError2.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-// Исправьте ошибки компиляции. Опишите переменную r
-begin
-  r := 2.5;
-  witeln(r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError3.pas
deleted file mode 100644
index 77ac7ce3b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError3.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Исправьте ошибку компиляции. Не всегда надо "верить" тексту ошибки
-
-var k: real;
-
-begin
-  k := 2,5;
-  writeln(r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError4.pas
deleted file mode 100644
index f4ad2ff53..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/CompilerError4.pas
+++ /dev/null
@@ -1,6 +0,0 @@
-// Исправьте ошибки компиляции, изменив тип переменной x
-var x: integer;
-
-begin
-  x := 3/5;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError1.pas
deleted file mode 100644
index 07b8eb262..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError1.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-// Введите не число
-// Посмотрите, как выглядит ошибка при выполнении программы
-var i: integer;
-
-begin
-  read(i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError2.pas
deleted file mode 100644
index c505b4c3f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError2.pas
+++ /dev/null
@@ -1,6 +0,0 @@
-// Посмотрите, как выглядит ошибка выполнения при целочисленном делении на 0
-var i: integer := 0;
-
-begin
-  write(2 div i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError3.pas
deleted file mode 100644
index bd7e13190..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError3.pas
+++ /dev/null
@@ -1,6 +0,0 @@
-// При обычном делении на 0 ошибки не возникает 
-var r: real := 0;
-
-begin
-  write(1/0);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError4.pas
deleted file mode 100644
index e5d2f7412..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/02_Errors/RuntimeError4.pas
+++ /dev/null
@@ -1,4 +0,0 @@
-// При работе с вещественными числами невозможно получить ошибку выполнения 
-begin
-  writeln(sqrt(-1));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/03_Robot_Drawman/DMa1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/03_Robot_Drawman/DMa1.pas
deleted file mode 100644
index fde4bef24..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/03_Robot_Drawman/DMa1.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Исполнитель Чертежник - отличное средство для начального обучения программированию
-// школьников младших и средних классов
-// Для генерации шаблона задания нажмите Ctrl-L и наберите DM и имя задания
-uses Drawman;
-
-begin
-  Task('a1');
-  ToPoint(2,3);
-  PenDown;
-  OnVector(1,2);
-  PenUp;
-  ToPoint(0,0);
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/03_Robot_Drawman/RBa1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/03_Robot_Drawman/RBa1.pas
deleted file mode 100644
index e7c59265c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/03_Robot_Drawman/RBa1.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Исполнитель Робот - отличное средство для начального обучения программированию
-// школьников младших и средних классов
-// Для генерации шаблона задания нажмите Ctrl-L и наберите RB и имя задания
-uses Robot;
-
-begin
-  Task('a1');
-  Right; Right; Right; Right; 
-  Up;
-  Left; Paint;
-  Left; Paint;
-  Left; Paint;
-  Left; Paint;
-  Left; 
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr1.pas
deleted file mode 100644
index 1b3eb122e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr1.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Графика. Линии. Размеры окна. Заголовок окна
-uses GraphABC;
-
-begin
-  Window.Title := 'Первая графическая программа';
-  Line(0,0,Window.Width-1,Window.Height-1);
-  Line(0,Window.Height-1,Window.Width-1,0);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr2.pas
deleted file mode 100644
index 0471c2aa8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr2.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Графика. Точка. Случайный цвет. Скорость работы
-uses GraphABC,Utils;
-
-begin
-  for var i:=1 to 100000 do
-    SetPixel(Random(Window.Width),Random(Window.Height),clRandom);
-  writeln('Время работы: ',Milliseconds/1000,' секунд');  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr3.pas
deleted file mode 100644
index de0d7ae58..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr3.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Графика. Свойства кисти и пера
-uses GraphABC;
-
-begin
-  Window.Title := 'Свойства кисти и пера';
-  Pen.Color := Color.Red;
-  Pen.Width := 3;
-  Pen.Style := psDashDot;
-  Brush.Style := bsHatch;
-  Brush.Color := Color.Green;
-  Brush.Hatch := bhDiagonalBrick;
-  Brush.HatchBackgroundColor := Color.Bisque;
-  Rectangle(20, 20, Window.Width - 20, Window.Height - 20);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr4.pas
deleted file mode 100644
index 7c060dd57..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr4.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Графика. Draw и Fill - процедуры
-uses GraphABC;
-
-begin
-  Window.Title := 'Draw и Fill - процедуры';
-  for var i := 1 to 100 do
-  begin
-    Pen.Color := clRandom;
-    var x := Random(Window.Width-100);
-    var y := Random(Window.Height-100);
-    DrawRectangle(x,y,x+Random(100),y+Random(100));
-    Sleep(30);
-  end;
-  for var i := 1 to 100 do
-  begin
-    Brush.Color := clRandom;
-    var x := Random(Window.Width-100);
-    var y := Random(Window.Height-100);
-    FillRectangle(x,y,x+Random(100),y+Random(100));
-    Sleep(30);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr5.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr5.pas
deleted file mode 100644
index 979566e61..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr5.pas
+++ /dev/null
@@ -1,20 +0,0 @@
-// Графика. Pie
-uses GraphABC;
-
-const r = 200;
-
-begin
-  Window.Title := 'Круговая гистограмма';
-  var x := Window.Center.X;
-  var y := Window.Center.Y;
-  Brush.Color := clRandom;
-  Pie(x,y,r,0,30);  
-  Brush.Color := clRandom;
-  Pie(x,y,r,30,110);  
-  Brush.Color := clRandom;
-  Pie(x,y,r,110,160);  
-  Brush.Color := clRandom;
-  Pie(x,y,r,160,280);  
-  Brush.Color := clRandom;
-  Pie(x,y,r,280,360);  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr6.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr6.pas
deleted file mode 100644
index 6430311b0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr6.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Графика. Прозрачность
-uses GraphABC;
-
-begin
-  Window.Title := 'Демонстрация прозрачности';
-  
-  Brush.Color := clRed;
-  FillRectangle(50,50,100,Window.Height - 50);
-  Brush.Color := clGreen;
-  FillRectangle(150,50,200,Window.Height - 50);
-  Brush.Color := clBlue;
-  FillRectangle(250,50,300,Window.Height - 50);
-  Brush.Color := ARGB(127,255,0,0);
-  FillRectangle(20,100,420,150);
-  Brush.Color := ARGB(63,0,127,0);
-  FillRectangle(20,200,420,250);
-  Brush.Color := ARGB(31,0,0,255);
-  FillRectangle(20,300,420,350);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr7.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr7.pas
deleted file mode 100644
index 3eacff030..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr7.pas
+++ /dev/null
@@ -1,24 +0,0 @@
-// Графика. Сохраниение изображения графического окна в файл и загрузка из файла 
-uses GraphABC;
-
-const 
-  delay = 500;
-  filename = 'GraphWindow.bmp';
-
-begin
-  Window.Title := 'Window.Save и Window.Load';
-  SetWindowSize(320,240);
-  
-  for var x:=0 to Window.Width - 1 do
-  for var y:=0 to Window.Height - 1 do
-    SetPixel(x,y,RGB(x-2*y,y+x,y-2*x));
-  
-  Window.Save(filename);
-  for var i := 1 to 5 do
-  begin
-    Window.Clear;
-    Sleep(delay);
-    Window.Load(filename);
-    Sleep(delay);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr8.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr8.pas
deleted file mode 100644
index 678a0a382..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/Gr8.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Графика. Сглаживание
-uses GraphABC;
-
-begin
-  Window.Title := 'Демонстрация сглаживания';
-  TextOut(40,20,'Со сглаживанием');
-  Pen.Width := 2;
-  
-  Ellipse(40,60,300,200);
-  Line(340,60,600,130);
-  Line(600,130,340,200);
-  
-  SetSmoothingOff;
-  TextOut(40,240,'Без сглаживания');
-  Ellipse(40,280,300,420);
-  Line(340,280,600,350);
-  Line(600,350,340,420);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrAnim1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrAnim1.pas
deleted file mode 100644
index 67e0b2d54..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrAnim1.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Графика. Пример "наивной" анимации. Эффект мерцания
-uses GraphABC;
-
-begin
-  Window.Title := 'Демонстрация простой анимации';
-  var y := 200;
-  Brush.Color := clGreen;
-  for var x := 70 to 500 do
-  begin
-    Window.Clear(clWhite);    
-    Circle(x,y,50);
-    Sleep(3);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrAnim2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrAnim2.pas
deleted file mode 100644
index b88e17046..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrAnim2.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Графика. Использование LockDrawing-Redraw. Мерцание отсутствует
-uses GraphABC;
-
-begin
-  Window.Title := 'Анимация без мерцания';
-  var y := 200;
-  Brush.Color := clGreen;
-  // Отключаем рисование в окне
-  LockDrawing;
-  for var x := 70 to 500 do
-  begin
-    Window.Clear(clWhite);    
-    Circle(x,y,50);
-    // Перерисовываем окно из внеэранного буфера
-    Redraw;
-    Sleep(3);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord1.pas
deleted file mode 100644
index 8da8ac886..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord1.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Демонстрация преобразований системы координат
-uses GraphABC;
-
-begin
-  Window.Title := 'Преобразования системы координат';
-  Window.IsFixedSize := True;
-
-  // Поворот
-  Coordinate.Angle := 30; 
-  // Масштаб
-  Coordinate.Scale := 3;
-  // Начало координат - в центре окна
-  Coordinate.Origin := Window.Center;
-
-  Brush.Color := clMoneyGreen;
-  Ellipse(-50,-20,50,20);
-  Line(-70,0,70,0);
-  Line(0,-40,0,40);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord2.pas
deleted file mode 100644
index e81b9b651..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord2.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Демонстрация преобразований системы координат
-uses GraphABC;
-
-begin
-  Window.Title := 'Преобразования системы координат';
-  Window.IsFixedSize := True;
-
-  Coordinate.Origin := Window.Center;
-  Circle(0,0,200);
-  for var i := 1 to 12 do
-  begin
-    Circle(0,180,10);
-    Coordinate.Angle := Coordinate.Angle + 30; 
-  end;  
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord3.pas
deleted file mode 100644
index 515de5fc5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrCoord3.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-uses GraphABC;
-
-begin
-  Coordinate.Origin := Window.Center;
-  Coordinate.SetMathematic;
-  while True do
-  begin
-    LockDrawing;
-    ClearWindow;
-    Ellipse(-120,-70,120,70);
-    Line(0,0,200,0);
-    Line(0,0,0,200);
-    Redraw;
-    Coordinate.Angle := Coordinate.Angle + 1;
-    Sleep(100);
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrFont1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrFont1.pas
deleted file mode 100644
index 40446966c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrFont1.pas
+++ /dev/null
@@ -1,23 +0,0 @@
-// Демонстрация работы со шрифтами
-uses GraphABC;
-
-begin
-  Window.Title := 'Шрифты';
-  SetWindowSize(760,460);
-  Font.Name := 'Arial';
-  Font.Style := fsBoldItalic;
-  for var i:=4 to 14 do
-  begin
-    Font.Size := 2*i;
-    Font.Color := clRandom;
-    TextOut(30,2*i*i-15,'PascalABC.NET');
-  end;
-  Font.Name := 'Times New Roman';
-  Font.Style := fsBoldUnderline;
-  for var i:=4 to 14 do
-  begin
-    Font.Size := 2*i;
-    Font.Color := clRandom;
-    TextOut(400,2*i*i-15,'PascalABC.NET');
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrFont2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrFont2.pas
deleted file mode 100644
index 17947a8ff..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrFont2.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Демонстрация использования TextWidth и TextHeight
-uses GraphABC;
-
-const s = 'Width & Height';
-  
-begin
-  Window.Title := 'Текст по центру';
-  Window.IsFixedSize := True;
-  SetWindowSize(700,300);
-  Window.Center;
-  Font.Name := 'Times';
-  Font.Size := 50;
-  var tw := TextWidth(s);
-  var th := TextHeight(s);
-  TextOut((Window.Width-tw) div 2,(Window.Height-th) div 2,s);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrPoly.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrPoly.pas
deleted file mode 100644
index 68f80312d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GrPoly.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Процедуры Polyline, Polygon, Curve, ClosedCurve
-// Перенос начала системы координат
-uses GraphABC;
-
-var a: array of Point := (new Point(0,0), new Point(50,170), new Point(100,100), new Point(150,170), new Point(200,0));
-
-begin
-  Window.Title := 'Рисование по массиву точек';
-  Brush.Color := Color.Beige;
-  Coordinate.SetOrigin(60,30);
-  Polyline(a);
-  Coordinate.OriginX := 360;
-  Polygon(a);
-  Coordinate.Origin := new Point(60,250);
-  Curve(a);
-  Coordinate.OriginX := 360;
-  ClosedCurve(a);
-end.  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GraphWindow.bmp b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GraphWindow.bmp
deleted file mode 100644
index 1325f0b68..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04_Graphics/GraphWindow.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04a_ABCObjects/ABC1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04a_ABCObjects/ABC1.pas
deleted file mode 100644
index 0fe49e801..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/04a_ABCObjects/ABC1.pas
+++ /dev/null
@@ -1,40 +0,0 @@
-// Модуль ABCObjects. Изменение свойств объекта
-uses ABCObjects,GraphABC;
-
-const delay = 300;
-
-procedure Pause;
-begin
-  Sleep(delay);
-end;
-
-var 
-  r: RectangleABC;
-  z: StarABC;
-
-begin
-  Window.Title := 'ABCObjects: свойства графических объектов';
-  z := new StarABC(Window.Center.X,Window.Center.Y,70,30,6,Color.Green);
-  r := new RectangleABC(100,100,200,100,Color.Gold);
-  Pause;
-  r.Center := Window.Center;
-  Pause;
-  r.Height := 70;
-  Pause;
-  r.Width := 220;
-  Pause;
-  z.Radius := 150;
-  Pause;
-  z.Color := Color.LightCoral;
-  Pause;
-  z.Count := 5;
-  Pause;
- 
-  r.Text := 'PascalABC.NET';
-  r.Color := Color.Gainsboro;
-  Pause;
-  r.BorderWidth := 3;
-  r.BorderColor := Color.Blue;
-  Pause;
-  r.Center := Window.Center;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case1.pas
deleted file mode 100644
index 9f2c5a27c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case1.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Оператор выбора
-var x: integer;
-
-begin
-  writeln('Введите оценку (1..5): ');
-  readln(x);
-  case x of
-    1: writeln('Единица');
-    2: writeln('Двойка');
-    3: writeln('Тройка');
-    4: writeln('Четверка');
-    5: writeln('Пятерка');  
-  else writeln('Такой оценки нет');
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case2.pas
deleted file mode 100644
index a6b257bbd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case2.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Оператор выбора
-var day: integer;
-
-begin
-  writeln('Введите номер дня недели (1..7): ');
-  readln(day);
-  case day of
-    1..5: writeln('Будний');
-    6,7: writeln('Выходной');
-  else writeln('Неверный день недели');
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case3.pas
deleted file mode 100644
index bd061c036..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case3.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Оператор выбора
-var c: char;
-
-begin
-  writeln('Введите символ: ');
-  readln(c);
-  case c of
-    '0'..'9': writeln('Это цифра');
-    'a'..'z','A'..'Z': writeln('Это английская буква');
-    'а'..'я','А'..'Я': writeln('Это русская буква');
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case4.pas
deleted file mode 100644
index ce699c1ca..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/Case4.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Оператор выбора. Случайная фигура
-uses GraphABC;
-
-begin
-  SetWindowSize(400,300);
-  var t := Random(1,5);
-  case t of
-    1: Circle(200,150,100);
-    2: Rectangle(100,100,300,200);
-    3: Ellipse(100,100,300,200);
-    4: RoundRect(100,100,300,200,20,20);
-    5: Line(100,100,300,200);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If1.pas
deleted file mode 100644
index a76e75399..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If1.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Условный оператор. Полная форма
-var 
-  x: integer := 5;
-  y: integer := 3;
-
-begin
-  if x<y then
-    writeln(x,'<',y)
-  else writeln(y,'<',x);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If2.pas
deleted file mode 100644
index e0274b8e0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If2.pas
+++ /dev/null
@@ -1,9 +0,0 @@
-// Условный оператор. Сокращенная форма
-var pass: string;
-
-begin
-  writeln('Введите пароль: ');
-  readln(pass);
-  if pass = 'NET' then 
-    writeln('Пароль правильный');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If3.pas
deleted file mode 100644
index ef8a1e72d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If3.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Условный оператор. Логические условия с or и and
-var x: integer;
-
-begin
-  writeln('Введите x (от 1 до 99): ');
-  readln(x);
-  if (x>=1) and (x<=9) then 
-    writeln('Однозначное число');
-  // Odd - функция, возвращающая True только если x - нечетно
-  if Odd(x) and (x>=10) and (x<=99) then 
-    writeln('Нечетное двузначное число');
-  if (x=3) or (x=9) or (x=27) or (x=81) then 
-    writeln('Степень тройки');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If4.pas
deleted file mode 100644
index 41008a92a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If4.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Вложенные условные операторы
-var x: integer;
-
-begin
-  writeln('Введите оценку (1..5): ');
-  readln(x);
-  if (x=1) then 
-    writeln('Единица')
-  else if (x=2) then 
-    writeln('Двойка')
-  else if (x=3) then 
-    writeln('Тройка')
-  else if (x=4) then 
-    writeln('Четверка')
-  else if (x=5) then 
-    writeln('Пятерка')  
-  else writeln('Такой оценки нет')  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If5.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If5.pas
deleted file mode 100644
index 074bf783b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/05_IfCaseBoolean/If5.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Вложенные условные операторы. Антонимы
-var s: string;
-
-begin
-  writeln('Введите слово из списка (черный,высокий,свет,радость,умный): ');
-  readln(s);
-  write('Антоним: ');
-  if (s='черный') then 
-    writeln('белый')
-  else if (s='высокий') then 
-    writeln('низкий')
-  else if (s='свет') then 
-    writeln('тьма')
-  else if (s='радость') then 
-    writeln('горе')
-  else if (s='умный') then 
-    writeln('глупый')
-  else writeln('Такого слова в списке нет')  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For1.pas
deleted file mode 100644
index 5545f146f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For1.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Цикл for
-
-const n = 20;
-
-var i: integer;
-
-begin
-  writeln('Числа от 1 до ',n,':');
-  for i:=1 to n do
-    write(i,' ');
-  writeln;
-  writeln;
-  writeln('Числа от ',n,' до 1:');
-  for i:=n downto 1 do
-    write(i,' ');
-  writeln;
-  writeln;
-  writeln('Маленькие английские буквы:');
-  for c: char := 'a' to 'z' do
-    write(c,' ');
-  writeln;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For1a.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For1a.pas
deleted file mode 100644
index 600a4a7bc..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For1a.pas
+++ /dev/null
@@ -1,38 +0,0 @@
-// Цикл for. Шаг цикла 2
-const n = 25;
-
-var i: integer;
-
-begin
-  writeln('Четные числа от 1 до ',2*n);
-  for i:=1 to n do
-    write(2*i,' ');
-  writeln;
-  writeln;
-
-  writeln('Четные числа от 1 до ',2*n);
-  var x := 2;
-  for i:=1 to n do
-  begin
-    write(x,' ');
-    x += 2;
-  end;  
-  writeln;
-  writeln;
-
-  writeln('Нечетные числа от 1 до ',2*n);
-  for i:=1 to n do
-    write(2*i-1,' ');
-  writeln;
-  writeln;
-
-  writeln('Нечетные числа от 1 до ',2*n);
-  x := 1;
-  for i:=1 to n do
-  begin
-    write(x,' ');
-    x += 2;
-  end;  
-  writeln;
-  writeln;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For2.pas
deleted file mode 100644
index f94af5449..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For2.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Цикл for. Последовательность случайных чисел
-
-const n = 20;
-
-var i: integer;
-
-begin
-  write('Случайные оценки: ');
-  for i:=1 to n do
-    write(Random(2,5),' ');
-  writeln;
-  write('Случайные целые от 1 до 99: ');
-  for i:=n downto 1 do
-    write(Random(1,99),' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For3.pas
deleted file mode 100644
index 945e1ce5b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For3.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-// Цикл for. Последовательность случайных чисел
-const n = 20;
-
-begin
-  for var i:=1 to n do
-    write(Random(2,5),' ');
-  writeln;
-  write('Случайные целые от 1 до 99: ');
-  for i:=n downto 1 do
-    write(Random(1,99),' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For4.pas
deleted file mode 100644
index d10ab5ca5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For4.pas
+++ /dev/null
@@ -1,9 +0,0 @@
-// ÷икл for. —умма всех двузначных чисел
-var s: integer;
-
-begin
-  s := 0;
-  for var i:=10 to 99 do
-    s := s + i; // можно s += i
-  writeln('—умма всех двузначных чисел = ',s);  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For5.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For5.pas
deleted file mode 100644
index 5b1a9a4cd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For5.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// ÷икл for. a в степени n
-var 
-  a: real;
-  n: integer;
-
-begin
-  write('¬ведите a,n: ');
-  readln(a,n);
-  var p: real := 1;
-  for var i:=1 to n do
-    p := p * a; // можно p *= a
-  writelnFormat('{0} в степени {1} = {2}',a,n,p);  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For6.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For6.pas
deleted file mode 100644
index d4073450f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For6.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// ���� for. ������� �������
-var 
-  a: real := 0;
-  b: real := 4;
-  n: integer := 16;
-
-begin
-  var h := (b-a)/n;
-  var x := a;
-  for var i:=0 to n do
-  begin
-    writelnFormat('{0:f2}  {1:f4}',x,sqrt(x));  
-    x += h;
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For7.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For7.pas
deleted file mode 100644
index fdee8f3a2..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For7.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// ���� for. ����� ���������
-const n = 25;
-
-begin
-  var a := 1;
-  var b := 1;
-  writeln('����� ���������:');
-  write(a,' ',b,' ');
-  
-  for var i:=3 to n do
-  begin
-    var c := a + b;
-    write(c,' ');
-    a := b;
-    b := c;
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For8.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For8.pas
deleted file mode 100644
index 5167640b8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For8.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Цикл for. Максимум из введенных чисел
-const n = 10;
-
-var max: real;
-
-begin
-  writelnFormat('Введите {0} чисел',n);
-  max := integer.MinValue; // самое маленькое целое число
-  for var i:=1 to n do
-  begin
-    var x: real;
-    read(x);
-    if x>max then
-      max := x;
-  end;  
-  writeln('Максимальное равно ',max);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For9.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For9.pas
deleted file mode 100644
index 7ca1357f1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/For9.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Цикл for. Поиск значения. Оператор break
-const n = 10;
-
-var 
-  k: integer;
-  found: boolean;
-  
-begin
-  writeln('Введите число для поиска: ');
-  readln(k);
-  writelnFormat('Введите {0} чисел',n);
-  found := False;
-  for var i:=1 to n do
-  begin
-    var x: integer;
-    read(x);
-    if x=k then
-    begin
-      found := True;
-      break;
-    end;
-  end;
-  if found then
-    writeln('Найдено')
-  else writeln('Не найдено');  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForFor1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForFor1.pas
deleted file mode 100644
index c6f2b1322..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForFor1.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Вложенные циклы for. Таблица умножения
-const n = 9;
-
-begin
-  writeln('Таблица умножения');
-  for var i:=1 to n do
-  begin
-    for var j:=1 to n do
-      write(i*j:4);
-    writeln;  
-  end;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForFor2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForFor2.pas
deleted file mode 100644
index 002e2d5c0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForFor2.pas
+++ /dev/null
@@ -1,20 +0,0 @@
-// Вложенные циклы for
-const n = 6;
-
-begin
-  for var i:=1 to n do
-  begin
-    for var j:=1 to i do
-      write('*');
-    writeln;  
-  end;
-  writeln;  
-  for var i:=1 to n do
-  begin
-    for var j:=1 to 3*n do
-      if Odd(i+j) then 
-        write('*')
-      else write(' ');  
-    writeln;  
-  end;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForGra1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForGra1.pas
deleted file mode 100644
index a7028177b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/ForGra1.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Вложенные циклы for. Сетка из квадртов
-uses GraphABC;
-
-const 
-  sz = 35;
-  zz = 5;
-
-begin
-  var h := sz+zz;
-  for var nx:=0 to Window.Width div h do
-  for var ny:=0 to Window.Height div h do
-  begin
-    Brush.Color := clRandom;
-    Rectangle(zz+nx*h,zz+ny*h,zz+nx*h+sz,zz+ny*h+sz);
-  end;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/algo1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/algo1.pas
deleted file mode 100644
index a6713302b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/algo1.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Алгоритм определения простоты числа
-var 
-  N: integer;
-  IsSimple: boolean;
-
-begin
-  writeln('Введите число: ');
-  readln(N);
-
-  IsSimple := True;
-  for var i:=2 to round(sqrt(N)) do // если число составное, то один из его сомножителей <= (sqrt(N)) 
-    if N mod i = 0 then
-    begin
-      IsSimple := False;
-      break;
-    end;
-  
-  if IsSimple then
-    writeln('Число ',N,' простое')
-  else writeln('Число ',N,' составное');  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/algo2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/algo2.pas
deleted file mode 100644
index 1d02bcd1f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/algo2.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Алгоритм вычисления значения многочлена в точке x по схеме Горнера
-const n=5;
-
-var 
-  x,a: real;
-
-begin
-  writeln('Введите значение x: ');
-  readln(x);
-
-  writeln('Введите коэффициенты многочлена (',n+1,' штук): ');
-  read(a);
-  var s := a;
-  for var i:=1 to n do
-  begin
-    read(a);
-    s := s*x + a;
-  end;
-
-  writeln('Значение многочлена в точке ',x,' равно ',s);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/repeat1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/repeat1.pas
deleted file mode 100644
index 6621f57de..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/repeat1.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Цикл repeat. Контроль ввода
-var mark: integer;
-
-begin
-  repeat
-    writeln('Введите оценку (2..5): ');
-    readln(mark);
-    if (mark<2) or (mark>5) then
-      writeln('Оценка неверная. Повторите ввод');
-  until (mark>=2) and (mark<=5);
-  writeln('Вы ввели оценку ',mark);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/repeat2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/repeat2.pas
deleted file mode 100644
index da416f808..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/repeat2.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Цикл repeat. Алгоритм Евклида нахождения наибольшего общего делителя
-var A,B: integer;
-
-begin
-  write('Введите два целых числа: ');
-  readln(A,B);
-  repeat
-    var C := A mod B;
-    A := B;
-    B := C;
-  until B=0;
-  write('Наибольший общий делитель = ',A);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while1.pas
deleted file mode 100644
index bf8f62300..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while1.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Цикл while. Вывод чисел с шагом 3
-const n = 60;
-
-begin
-  writeln('Числа от 1 до ',n,', кратные 3');
-  var x := 3;
-  while x<=n do
-  begin
-    write(x,' ');
-    x += 3;
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while2.pas
deleted file mode 100644
index ff9996415..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while2.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Цикл while. Степени 2
-begin
-  writeln('Степени 2');
-  var i := 1;
-  var p := 1;
-  while i<32 do
-  begin
-    writeln(i:2,p:12);
-    i += 1;
-    p *= 2;
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while3.pas
deleted file mode 100644
index 35345d005..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/06_ForWhileRepeat/while3.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// ÷икл while. —умма цифр положительного числа
-var m: integer;
-
-begin
-  writeln('¬ведите положительное число: ');
-  read(m);
-  write('÷ифры числа в обратном пор¤дке: ');
-  var s := 0;
-  while m>0 do
-  begin
-    var digit := m mod 10;
-    write(digit,' ');
-    s += digit;
-    m := m div 10;
-  end;
-  writeln;
-  writeln('—умма цифр = ',s);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char1.pas
deleted file mode 100644
index 0093f5157..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char1.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Стандартные функции Ord Chr
-var 
-  i: integer;
-  c: char;
-
-begin
-  c := 'z';
-  i := Ord(c);
-  writelnFormat('Код символа {0} в кодировке Windows равен {1}',c,i);
-  i := 193;
-  c := Chr(i);
-  writelnFormat('Символ с кодом {0} в кодировке Windows - это {1}',i,c);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char2.pas
deleted file mode 100644
index d89fd87a7..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char2.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Стандартные функции OrdUnicode ChrUnicode
-var 
-  i: integer;
-  c: char;
-
-begin
-  c := 'Д';
-  i := OrdUnicode(c);
-  writelnFormat('Код символа {0} в кодировке Unicode равен {1}',c,i);
-  i := 1046;
-  c := ChrUnicode(i);
-  writelnFormat('Символ с кодом {0} в кодировке Unicode - это {1}',i,c);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char3.pas
deleted file mode 100644
index 25dd82795..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/Char3.pas
+++ /dev/null
@@ -1,9 +0,0 @@
-// Стандартные функции UpperCase LowerCase
-var c: char;
-
-begin
-  c := 'д';
-  writelnFormat('Символ {0} в верхнем регистре: {1}',c,UpperCase(c));
-  c := 'F';
-  writelnFormat('Символ {0} в нижнем регистре: {1}',c,LowerCase(c));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/CharTable.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/CharTable.pas
deleted file mode 100644
index 220cb62fa..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/CharTable.pas
+++ /dev/null
@@ -1,8 +0,0 @@
-// Таблица символов и их кодов
-begin
-  for var i:=32 to 255 do
-  begin
-    write(i:4,chr(i):2,'  ');
-    if i mod 8 = 7 then writeln;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String1.pas
deleted file mode 100644
index d6785340d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String1.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Строки. Операция + и оператор +=. Доступ по индексу
-
-var s: string := 'Pascal';
-
-begin
-  writeln(s);
-  s := s + '.';
-  writeln(s);
-  s += 'NET';
-  writeln(s);
-  writeln(s[1],' ',s[2],' ',s[3],' ',s[4],' ',s[5],' ',s[6]);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String2.pas
deleted file mode 100644
index a2a26c791..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String2.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Строки. Процедура SetLength, функция Length и свойство Length 
-
-var s: string;
-
-begin
-  writeln('Length(s) = ',Length(s));
-  SetLength(s,3);
-  s[1] := 'N';
-  s[2] := 'E';
-  s[3] := 'T';
-  writeln(s,'     Length(s) = ',Length(s));
-  for var i:= 1 to s.Length do
-    write(s[i],' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String3.pas
deleted file mode 100644
index 5a2a97b3e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String3.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Строки. Строка может иметь произвольную длину
-var s: string;
-    
-begin
-  s := 'abcdefghijklmnopqrstuvwxyz';
-  s := s + Uppercase(s);
-  s += s; 
-  s += s; 
-  s += s;
-  writeln('Длина строки = ',s.Length);
-  writeln('Cтрока: ',s);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String4.pas
deleted file mode 100644
index 7c765fc61..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String4.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Строки фиксированной длины. Длина не может быть больше 255
-var 
-  s: string[9];
-  s1: shortstring; // shortstring = string[255]
-  slong: string;
-    
-begin
-  slong := 'PascalABC.NET';
-  writeln('Cтрока произвольной длины: ',slong);
-  s := slong;
-  writeln('Cтрока фиксированной длины обрезается: ',s);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String5.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String5.pas
deleted file mode 100644
index e4e667578..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String5.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Строки. Стандартные подпрограммы работы со строками
-var 
-  s: string := '  Pascal__NET  ';
-  s1: string := 'NET';
-    
-begin
-  writeln('Исходная строка: ''',s,'''');
-  s := Trim(s);
-  writeln('После вызова функции Trim: ''',s,'''');
-  var p := Pos(s1,s);
-  writelnFormat('Позиция подстроки ''{0}'' в строке ''{1}'' равна {2}',s1,s,p);
-  Delete(s,7,2);
-  writeln('После удаления символов __: ',s);
-  Insert('ABC.',s,7);
-  writeln('После вставки подстроки ''ABC.'': ',s);
-  writeln('Первая часть строки: ',Copy(s,1,9));
-  writeln('Последняя часть строки: ',Copy(s,11,3));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String6.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String6.pas
deleted file mode 100644
index 609eb8234..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/String6.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Строки. Методы класса string
-var 
-  s: string := '  Pascal__NET  ';
-  s1: string := 'NET';
-    
-begin
-  writeln('Исходная строка: ''',s,'''');
-  s := s.Trim;
-  writeln('После вызова s.Trim: ''',s,'''');
-  var p := s.IndexOf(s1); // Индексация - с нуля
-  writelnFormat('Позиция подстроки ''{0}'' в строке ''{1}'' равна {2}',s1,s,p);
-  s := s.Remove(6,2);
-  writeln('После удаления символов __: ',s);
-  s := s.Insert(6,'ABC.');
-  writeln('После вставки подстроки ''ABC.'': ',s);
-  writeln('Первая часть строки: ',s.Substring(0,9));
-  writeln('Последняя часть строки: ',s.Substring(10,3));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger1.pas
deleted file mode 100644
index 484f91218..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger1.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Преобразование целое <-> строка
-var 
-  s: string;
-  i: integer;
-
-begin
-  // Преобразование целого в строку
-  i := 234;
-  s := IntToStr(i);
-  writelnFormat('Целое: {0}. После преобразования к строке: ''{1}''',i,s);
-  
-  // Преобразование строки в целое (может произойти исключение)
-  s := '567';
-  i := StrToInt(s);
-  writelnFormat('Строка: ''{0}''. После преобразования к целому: {1}',s,i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger2.pas
deleted file mode 100644
index 5dfe155aa..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger2.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Преобразование целое <-> строка в старом стиле (Val и Str)
-var 
-  s: string;
-  i: integer;
-
-begin
-  // Преобразование целого в строку
-  i := 234;
-  Str(i,s);
-  writelnFormat('Целое: {0}. После преобразования к строке: ''{1}''',i,s);
-  
-  // Преобразование строки в целое 
-  s := '567';
-  var err: integer;
-  Val(s,i,err);
-  if err=0 then
-    writelnFormat('Строка: ''{0}''. После преобразования к целому: {1}',s,i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger3.pas
deleted file mode 100644
index ce86a50a3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringInteger3.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Преобразование целое <-> строка в новом стиле 
-var 
-  s: string;
-  i: integer;
-
-begin
-  // Преобразование целого в строку
-  i := 234;
-  s := i.ToString;
-  writelnFormat('Целое: {0}. После преобразования к строке: ''{1}''',i,s);
-  
-  // Преобразование строки в целое 
-  s := '567';
-  if integer.TryParse(s,i) then
-    writelnFormat('Строка: ''{0}''. После преобразования к целому: {1}',s,i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringReal1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringReal1.pas
deleted file mode 100644
index 4b1037b65..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/StringReal1.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Преобразование вещественное <-> строка
-var 
-  s: string;
-  r: real;
-
-begin
-  // Преобразование целого в строку
-  r := 3.1415;
-  s := FloatToStr(r);
-  writelnFormat('Целое: {0}. После преобразования к строке: ''{1}''',r,s);
-  
-  // Преобразование строки в целое (может произойти исключение)
-  s := '3.1415';
-  r := StrToFloat(s);
-  writelnFormat('Строка: ''{0}''. После преобразования к целому: {1}',s,r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/UpLowCase.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/UpLowCase.pas
deleted file mode 100644
index 2c7303586..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/07_CharString/UpLowCase.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Использование стандартных функций UpperCase, LowerCase
-var c: char;
-
-begin
-  for c:='a' to 'z' do
-    write(UpperCase(c));
-  writeln;
-  for c:='A' to 'Z' do
-    write(LowerCase(c));
-  writeln;
-  for c:='А' to 'Я' do
-    write(UpperCase(c));
-  writeln;
-  for c:='а' to 'я' do
-    write(LowerCase(c));
-  writeln;
-  var s := 'Папа у Васи силён в математике';
-  s := UpperCase(s);
-  writeln(s);
-  s := LowerCase(s);
-  writeln(s);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Fun1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Fun1.pas
deleted file mode 100644
index 9aeffb0e6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Fun1.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Определение функции. Вывод таблицы ее значений
-
-function MyFun(x: real): real;
-begin
-  Result := x*sin(x);
-end;
-
-const 
-  a = 0.0;
-  b = 2*Pi;
-  n = 10;
-
-begin
-  var h := (b-a)/n;
-  var x := a;
-  writeln('Таблица значений функции MyFun:');
-  for var i := 0 to n do
-  begin
-    writeln(x:5:2,MyFun(x):10:4);
-    x += h;
-  end;  
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Fun2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Fun2.pas
deleted file mode 100644
index 4994822e4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Fun2.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Функция Power
-
-function Power(x: real; n: integer): real;
-begin
-  Result := 1;
-  for var i:=1 to n do
-    Result *= x;
-end;
-
-var 
-  x: real; 
-  n: integer;
-
-begin
-  x := 2; n := 5;  
-  writelnFormat('{0} в степени {1} = {2}',x,n,Power(x,n));
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc1.pas
deleted file mode 100644
index 95f40b8a0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc1.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Параметры процедур
-
-procedure Operations(a,b: integer);
-begin
-  writeln(a,' + ',b,' = ',a+b);
-  writeln(a,' - ',b,' = ',a-b);
-  writeln(a,' * ',b,' = ',a*b);
-  writeln(a,' / ',b,' = ',a/b);
-  writeln(a,' div ',b,' = ',a div b);
-  writeln(a,' mod ',b,' = ',a mod b);
-end;
-
-begin
-  Operations(5,3);
-  writeln;
-  Operations(7,4);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc2.pas
deleted file mode 100644
index 498b595b6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc2.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Параметры-переменные
-
-procedure DivMod(a,b: integer; var d,m: integer);
-begin
-  d := a div b;
-  m := a mod b;
-end;
-
-var 
-  a,b: integer;
-  d,m: integer;
-
-begin
-  a := 7;
-  b := 3;
-  DivMod(a,b,d,m);
-  writelnFormat('{0} div {1} = {2};  {0} mod {1} = {3}',a,b,a div b,a mod b);
-  a := 23;
-  b := 5;
-  DivMod(a,b,d,m);
-  writelnFormat('{0} div {1} = {2};  {0} mod {1} = {3}',a,b,a div b,a mod b);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc3.pas
deleted file mode 100644
index ccbdb03a0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/08_ProcFunc/Proc3.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Упаковка параметров в запись
-uses GraphABC;
-
-type 
-  Point = record
-    x,y: integer;
-    constructor (xx,yy: integer);
-    begin
-      x := xx;
-      y := yy;
-    end;
-  end;
-
-procedure Line(p1,p2: Point);
-begin
-  GraphABC.Line(p1.x,p1.y,p2.x,p2.y);
-end;
-
-begin
-  var p1 := new Point(10,10);
-  var p2 := new Point(10,210);
-  var p3 := new Point(210,10);
-  Line(p1,p2);
-  Line(p2,p3);
-  Line(p3,p1);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr1.pas
deleted file mode 100644
index 1a683cae4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr1.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Использование динамического массива. 
-// Процедура SetLength выделения памяти под динамический массив
-// Оператор foreach (массив доступен только на чтение)
-var a: array of integer;
-
-begin
-  var n := 20;
-  SetLength(a,n);
-  for var i:=0 to a.Length-1 do
-    a[i] := Random(1,9);
-  writeln('Содержимое случайного динамического массива целых: ');  
-  foreach x: integer in a do
-    write(x,' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr2.pas
deleted file mode 100644
index b5e877dc4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr2.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Использование динамического массива. 
-var a: array of integer;
-
-begin
-  writeln('При присваивании динамических массивов две переменные начинают указывать на одну память:');
-  var n := 20;
-  a := new integer[n]; // Другой способ выделения памяти
-  for var i:=0 to a.Length-1 do
-    a[i] := i;
-
-  writeln('До присваивания b[5]: a[5]=',a[5]);
-  
-  var b: array of integer;
-  b := a;
-  b[5] := 666;
-  writeln('После присваивания b[5]: a[5]=',a[5]);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr3.pas
deleted file mode 100644
index 0f2acfb79..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr3.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Использование динамического массива. 
-var a: array of integer;
-
-begin
-  writeln('SetLength при повторном вызове не портит старые элементы:');
-  SetLength(a,5);
-  for var i:=0 to a.Length-1 do
-    a[i] := i+1;
-  for var i:=0 to a.Length-1 do
-    write(a[i],' ');
-  writeln;  
-
-  SetLength(a,10);
-  for var i:=0 to a.Length-1 do
-    write(a[i],' ');
-  writeln;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr4.pas
deleted file mode 100644
index 47fb8c953..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArr4.pas
+++ /dev/null
@@ -1,23 +0,0 @@
-// Передача динамического массива в качестве параметра
-
-procedure WriteArr(a: array of integer); // var указывать не нужно, т.к. динамический массив является ссылкой на реальный объект
-begin
-  foreach x: integer in a do
-    write(x,' ');
-  writeln;
-end;
-
-procedure CreateRandomArr(var a: array of integer; n: integer); // var указывать нужно, т.к. в процедуре создается новый динамический массив 
-begin
-  a := new integer[n];
-  for var i:=0 to a.Length-1 do
-    a[i] := Random(10);
-end;
-
-var a: array of integer;
-
-begin
-  writeln('Случайный целый массив: ');
-  CreateRandomArr(a,30);
-  WriteArr(a);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArrErr1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArrErr1.pas
deleted file mode 100644
index f8e2d5104..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArrErr1.pas
+++ /dev/null
@@ -1,6 +0,0 @@
-// Ошибка невыделения памяти для динамического массива
-var a: array of integer;
-
-begin
-  a[0] := 666;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArrErr2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArrErr2.pas
deleted file mode 100644
index cd1da4b02..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/DynArrErr2.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-// Ошибка выхода за границы диапазона для динамического массива
-var a: array of integer;
-
-begin
-  SetLength(a,10);
-  a[10] := 666;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/SortByChoice.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/SortByChoice.pas
deleted file mode 100644
index a0f618c87..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/SortByChoice.pas
+++ /dev/null
@@ -1,42 +0,0 @@
-// Сортировка выбором
-procedure SortByChoice(a: array of real);
-begin
-  for var i:=0 to a.Length-2 do
-  begin
-    var min := a[i]; 
-    var ind := i;
-    for var j:=i+1 to a.Length-1 do
-      if a[j]<min then
-      begin
-        min := a[j];
-        ind := j;
-      end;
-    a[ind] :=a [i];
-    a[i] := min;
-  end;
-end;
-
-procedure WriteArr(a: array of real); 
-begin
-  foreach x: real in a do
-    write(x,' ');
-  writeln;
-end;
-
-function CreateRandomArr(n: integer): array of real; 
-begin
-  Result := new real[n];
-  for var i:=0 to Result.Length-1 do
-    Result[i] := Random(100);
-end;
-
-var a: array of real;
-
-begin
-  a := CreateRandomArr(20);
-  writeln('Содержимое массива: ');
-  WriteArr(a);
-  SortByChoice(a);
-  writeln('После сортировки выбором: ');
-  WriteArr(a);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr1.pas
deleted file mode 100644
index f20116db9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr1.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Использование массива
-const n=10;
-
-var a: array [1..n] of real;
-
-begin
-  for var i:=1 to n do
-    a[i] := Random*10;
-  writeln('Содержимое случайного массива вещественных: ');  
-  foreach x: real in a do
-    write(x:4:2,'  ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr2.pas
deleted file mode 100644
index 49ce9793c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr2.pas
+++ /dev/null
@@ -1,24 +0,0 @@
-// Передача массива как параметра подпрограмм
-const n=10;
-
-type RealArr = array [1..n] of real;
-
-procedure FillArrByRandom(var a: RealArr; n: integer);
-begin
-  for var i:=1 to n do
-    a[i] := Random*10;
-end;
-
-procedure PrintArr(const a: RealArr; n: integer);
-begin
-  foreach x: real in a do
-    write(x:4:2,'  ');
-end;
-
-var a: RealArr;
-
-begin
-  FillArrByRandom(a,n);
-  writeln('Содержимое случайного массива вещественных: ');  
-  PrintArr(a,n);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr3.pas
deleted file mode 100644
index 1d382c6c1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Arrays/StaticArr3.pas
+++ /dev/null
@@ -1,41 +0,0 @@
-// Процедура exit выхода из подпрограммы
-const n=10;
-
-type IntArr = array [1..n] of integer;
-
-procedure FillArrByRandom(var a: IntArr; n: integer);
-begin
-  for var i:=1 to n do
-    a[i] := Random(10);
-end;
-
-procedure PrintArr(const a: IntArr; n: integer);
-begin
-  foreach x: integer in a do
-    write(x,' ');
-  writeln;  
-end;
-
-function IndexOf(const a: IntArr; n: integer; k: integer): integer;
-begin
-  Result := 0;
-  for var i := 1 to n do
-    if a[i]=k then
-    begin
-      Result := i;
-      exit; // выход из процедуры
-    end;  
-end;
-
-var a: IntArr;
-
-begin
-  FillArrByRandom(a,n);
-  writeln('Случайный массив целых: ');
-  PrintArr(a,n);
-  
-  var ind := IndexOf(a,n,7);
-  if ind>0 then
-    writeln('Индекс первого элемента 7 равен ', ind)
-  else writeln('Элемент 7 отсутствует');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitInitFin/MainInitFinDemo.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitInitFin/MainInitFinDemo.pas
deleted file mode 100644
index fb2a6d4f2..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitInitFin/MainInitFinDemo.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-// Демонстрация секций инициализации и финализации модулей
-// Откройте модуль MyUnit, нажав на имени модуля правой мышью и выбрав пункт "Перейти к определению"
-uses MyUnit; 
-
-begin
-  writeln('Основная программа')
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitInitFin/MyUnit.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitInitFin/MyUnit.pas
deleted file mode 100644
index 1887dbc7f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitInitFin/MyUnit.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-unit MyUnit; 
-
-initialization
-  writeln('Секция инициализации. Выполняется до начала основной программы')
-finalization
-  writeln('Секция финализации. Выполняется после окончания основной программы')
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MainSameNames.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MainSameNames.pas
deleted file mode 100644
index 4f881ad42..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MainSameNames.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-// Алгоритм поиска имен в модулях
-uses MyA,MyB; // Имена вначале ищутся в основной программе, а затем в модулях в порядке справа налево
-
-begin
-  p; // Вызывается MyB.p
-  MyA.p; // Если надо вызвать MyA.p, следует использовать имя p, уточненное именем модуля
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyA.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyA.pas
deleted file mode 100644
index 7c8a67ab7..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyA.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-unit MyA; 
-
-procedure p;
-begin
-  writeln('MyA.p');
-end;
-
-begin
-  
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyB.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyB.pas
deleted file mode 100644
index a33cebbf7..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyB.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-unit MyB; 
-
-procedure p;
-begin
-  writeln('MyB.p');
-end;
-
-begin
-  
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyB.pcu b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyB.pcu
deleted file mode 100644
index 00595cfe5..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitNames/MyB.pcu and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MainProgram.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MainProgram.pas
deleted file mode 100644
index 09db6bfe0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MainProgram.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-uses MyUnit; // подключили модуль
-
-const Sz = 10;
-
-var a: IntArr;
-
-begin
-  Assert(sz<=Size,'Размер массива должен быть <='+Size.ToString);
-  FillArr(a,Sz);
-  writeln('Содержимое массива: ');
-  WriteArr(a,Sz);
-  writeln('Минимальный элемент: ',Min(a,Sz));
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MyUnit.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MyUnit.pas
deleted file mode 100644
index 87c14332c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MyUnit.pas
+++ /dev/null
@@ -1,35 +0,0 @@
-/// Модуль упрощенной структуры
-unit MyUnit; // имя модуля должно совпадать с именем файла
-
-const Size = 100;
-
-type IntArr = array [1..Size] of integer;
-
-var Delimiter: string := ' ';
-
-// Документирующие комментарии отображаются при наведении на имя курсора мыши
-/// Заполняет массив случайными числами
-procedure FillArr(var a: IntArr; n: integer);
-begin
-  for var i:=1 to n do
-    a[i] := Random(100);
-end;
-
-/// Выводит массив
-procedure WriteArr(const a: IntArr; n: integer);
-begin
-  for var i:=1 to n do
-    write(a[i],Delimiter);
-  writeln;  
-end;
-
-/// Возвращает минимальный элемент в массиве
-function Min(const a: IntArr; n: integer): integer;
-begin
-  Result := a[1];
-  for var i:=1 to n do
-    if Result>a[i] then 
-      Result := a[i];
-end;
-
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MyUnit.pcu b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MyUnit.pcu
deleted file mode 100644
index f6ea24470..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/09_Units/UnitStructure/MyUnit.pcu and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/10_Matrices/Matr1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/10_Matrices/Matr1.pas
deleted file mode 100644
index 9033bd4d8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/10_Matrices/Matr1.pas
+++ /dev/null
@@ -1,40 +0,0 @@
-// Поиск значения в случайной матрице. Использование оператора goto
-const 
-  sz = 10;
-  m = 4;
-  n = 5;
-
-type Matrix = array [1..sz,1..sz] of integer;
-
-label 1;
-
-var matr: Matrix;
-
-begin
-  // Заполнение матрицы m x n случайными числами
-  for var i := 1 to m do
-  for var j := 1 to n do
-    matr[i,j] := Random(100);
-  
-  // Вывод матрицы 
-  for var i := 1 to m do
-  begin
-    for var j := 1 to n do
-      write(matr[i,j]:3);
-    writeln;
-  end;  
-  
-  // Есть ли в матрице элемент 5?
-  var found5 := False;
-  for var i := 1 to m do
-  for var j := 1 to n do
-    if matr[i,j]=5 then
-    begin
-      found5 := True;
-      goto 1; // Ай как нехорошо! Но это лучший способ выхода из двух вложенных циклов сразу
-    end;
-1: 
-  if found5 then 
-    writeln('Элемент 5 найден')
-  else writeln('Элемент 5 не найден')  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/10_Matrices/Matr2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/10_Matrices/Matr2.pas
deleted file mode 100644
index 42df846a3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/10_Matrices/Matr2.pas
+++ /dev/null
@@ -1,37 +0,0 @@
-// Матрица как динамический массив массивов
-type Matrix = array of array of integer;
-
-function CreateMatrix(m,n: integer): Matrix;
-begin
-  SetLength(Result,m);
-  for var i:=0 to m-1 do
-    SetLength(Result[i],n);
-end;
-
-procedure FillMatrByRandom(matr: Matrix);
-begin
-  for var i:=0 to matr.Length-1 do
-  for var j:=0 to matr[0].Length-1 do
-    matr[i][j] := Random(100);  
-end;
-
-procedure WriteMatrix(matr: Matrix);
-begin
-  for var i := 0 to matr.Length-1 do
-  begin
-    for var j := 0 to matr[0].Length-1 do
-      write(matr[i,j]:3);
-    writeln;
-  end;  
-end;
-
-var matr: Matrix;
-
-begin
-  var m := 5;
-  var n := 7;
-  matr := CreateMatrix(m,n);
-  
-  FillMatrByRandom(matr);
-  WriteMatrix(matr);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/11_Enums/Enum1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/11_Enums/Enum1.pas
deleted file mode 100644
index db92312ee..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/11_Enums/Enum1.pas
+++ /dev/null
@@ -1,25 +0,0 @@
-// Перечислимый тип
-type Months = (January,February,March,April,May,June,July,August,September,October,November,December);
-
-var m: Months;
-  
-begin
-  m := February;
-  writeln(m);
-  // Использование констант перечислимого типа после имени типа удобно: после точки intellisense показывает список констант
-  m := Months.April;
-  writeln('Следующий месяц: ',m);
-  Inc(m);
-  writeln('Следующий месяц: ',m);
-  m := Succ(m);  
-  writeln('Следующий месяц: ',m);
-  m := Pred(m);  
-  writeln('Предыдующий месяц: ',m);
-  Dec(m);
-  writeln('Предыдующий месяц: ',m);
-  writeln('Его порядковый номер (нумерация - с нуля): ',Ord(m));
-  // Ошибки нет
-  writeln('Месяц перед январем - выход за границы: ',pred(Months.January));
-  // Ошибки нет
-  writeln('Месяц после декабря - выход за границы: ',succ(Months.December));
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/11_Enums/Enum2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/11_Enums/Enum2.pas
deleted file mode 100644
index 77eef43d4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/11_Enums/Enum2.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// ѕеречислимый тип
-uses System;
-
-type Months = (January,February,March,April,May,June,July,August,September,October,November,December);
-
-begin
-  var t: &Type := typeof(Months);
-  var names: array of string := Enum.GetNames(t);
-  writeln('÷икл по именам перечислимого типа');
-  foreach name: string in names do
-    write(name,' ');
-  writeln; writeln;
-  
-  var v: &Array := Enum.GetValues(t);
-  var mm: array of Months := new Months[v.Length];
-  writeln('÷икл по массиву всех значений перечислимого типа');
-  for var i:=0 to v.Length-1 do
-    mm[i] := Months(v.GetValue(i));
-     
-  for var i:=0 to mm.Length-1 do
-    write(mm[i],' ');    
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/File1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/File1.pas
deleted file mode 100644
index 8eb62692a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/File1.pas
+++ /dev/null
@@ -1,35 +0,0 @@
-// Типизированные файлы
-// Запись в файл 10 чисел, при следующем запуске - чтение этих чисел и удаление файла
-const filename = 'a.dat';
-
-var f: file of integer;
-
-begin
-  if not FileExists(filename) then
-  begin
-    assign(f,filename);
-    rewrite(f);
-    writeln('Запись в файл ',filename);
-    for var i:=1 to 10 do
-    begin
-      var x := random(100); 
-      write(x,' ');
-      write(f,x);
-    end;  
-    close(f);  
-  end
-  else 
-  begin
-    assign(f,filename);
-    reset(f);
-    writeln('Чтение из файла ',filename);
-    for var i:=1 to 10 do
-    begin
-      var x: integer;
-      read(f,x);
-      write(x,' ');
-    end;  
-    close(f);  
-    erase(f);
-  end;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/File2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/File2.pas
deleted file mode 100644
index d6cd9778c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/File2.pas
+++ /dev/null
@@ -1,23 +0,0 @@
-// Файлы строк фиксированной длины
-type Str20 = string[20];
-
-var 
-  s: Str20;
-  f: file of Str20; // file of string определить нельзя, поскольку string имеет переменную длину!
-  
-begin
-  assign(f,'str.dat');
-  rewrite(f);
-  write(f,'Иванов Иван Иванович');
-  write(f,'Петров Петр Петрович');
-  write(f,'Сидоров Александр Евг');
-  close(f);
-  reset(f);
-  writeln('Содержимое файла строк: ');
-  for var i := 1 to FileSize(f) do
-  begin
-    read(f,s);
-    writeln(s);
-  end;
-  close(f);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text1.pas
deleted file mode 100644
index 72b941890..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text1.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Программа, выводящая текст из своего файла
-var 
-  f: Text;
-
-begin
-  assign(f,'Text1.pas');
-  reset(f);
-  while not eof(f) do
-  begin
-    var s: string;
-    readln(f,s);
-    writeln(s);
-  end;
-  close(f);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text2.pas
deleted file mode 100644
index cd46adb75..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text2.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Программа, выводящая текст в файл a.txt
-var 
-  f: Text;
-  a: array of string := ('Каждый','охотник','желает','знать','где','сидит','фазан');
-
-begin
-  assign(f,'a.txt');
-  rewrite(f);
-  for var i:=0 to a.Length-1 do 
-    writeln(f,a[i]);
-  close(f);
-  writeln('Текст записан в файл a.txt');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text3.pas
deleted file mode 100644
index 31daacb7d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Text3.pas
+++ /dev/null
@@ -1,19 +0,0 @@
-// Программа, выводящая текст в файл a.txt
-const 
-  n = 30;
-  filename = 'pifagor.txt';
-
-var f: Text;
-
-begin
-  assign(f,filename);
-  rewrite(f);
-  for var i:=1 to n do 
-  begin
-    for var j:=1 to n do 
-      write(f,i*j:4);
-    writeln(f);  
-  end;    
-  close(f);
-  writeln('Таблица умножения записана в файл '+filename);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Untyped1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Untyped1.pas
deleted file mode 100644
index 7c932ddc3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/Untyped1.pas
+++ /dev/null
@@ -1,52 +0,0 @@
-// Нетипизированные файлы
-// Запись в файл 10 чисел, при следующем запуске - чтение этих чисел и удаление файла
-const filename = 'u.dat';
-
-var 
-  f: file;
-  r: real;
-  s: string[10];
-  k: integer;
-  c: char;
-
-begin
-  if not FileExists(filename) then
-  begin
-    assign(f,filename);
-    rewrite(f);
-    writeln('Запись в файл ',filename);
-    
-    r := random*10; 
-    for var i:=0 to 10 do
-      s := s + Chr(Ord('A')+Random(26));
-    c := Chr(Ord('A')+Random(26));
-    k := Random(100);
-    
-    writeln(r);
-//    writeln(s);
-    writeln(c);
-    writeln(k);
-    // Запись в файл данных разных типов
-    write(f,r);
-//    writeln(f,s);
-    write(f,c);
-    write(f,k);
-    close(f);  
-  end
-  else 
-  begin
-    assign(f,filename);
-    reset(f);
-    writeln('Чтение из файла ',filename);
-
-    // Чтение из файла данных разных типов
-    read(f,r,{s,}c,k);
-    writeln(r);
-//    writeln(s);
-    writeln(c);
-    writeln(k);
-
-    close(f);  
-    erase(f);
-  end;  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/str.dat b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/12_Files/str.dat
deleted file mode 100644
index e69de29bb..000000000
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer1.pas
deleted file mode 100644
index 3d041c74c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer1.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Типизированные указатели
-var
-  i: integer := 5;
-  j: integer := 3;
-  p: ^integer;
-  
-begin
-  writeln('Исходные значения переменных i и j: ',i,' ',j);
-  p := @i; // в p записывается адрес i, p указывает на i
-  writeln('По адресу ',p,' находится значение ',p^); // p^ - то, на что указывает p
-  p^ := 2;
-  p := @j;
-  writeln('По адресу ',p,' находится значение ',p^);
-  p^ += 1;
-  writeln('Новые значения переменных i и j: ',i,' ',j);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer2.pas
deleted file mode 100644
index f3006767d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer2.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Бестиповые указатели
-// Им можно присваивать любой адрес, но для использования необходимо 
-// явное приведение к типизированному указателю
-var
-  i: integer := 5;
-  r: real := 3.14;
-  p: pointer;
-  
-type 
-  pinteger = ^integer;
-  preal = ^real;
-  
-begin
-  writeln('Исходные значения переменных i и r: ');
-  writeln(i,' ',r);
-  p := @i; 
-  pinteger(p)^ := 8;
-  p := @r;
-  preal(p)^ += 1;
-  writeln('Новые значения переменных i и r: ');
-  writeln(i,' ',r);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer3.pas
deleted file mode 100644
index c7100897e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer3.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-// Выделение динамической памяти
-var p: ^real;
-  
-begin
-  // Выделили динамическую память и в p записали ее адрес
-  New(p);
-  p^ := 3;
-  writeln('Значение в динамичесской памяти = ',p^);
-  // Возврат динамической памяти, на оторую указывает p
-  Dispose(p);
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer4.pas
deleted file mode 100644
index 0faeeb6f0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Pointer4.pas
+++ /dev/null
@@ -1,43 +0,0 @@
-// Выделение динамической памяти
-// Использование указателей для создания односвязного списка
-type 
-  PNode = ^TNode;
-  TNode = record
-    data: integer;
-    next: PNode;
-  end;
-
-function NewNode(d: integer; n: PNode): PNode;
-begin
-  New(Result);
-  Result^.data := d;
-  Result^.next := n;
-end;
-
-var first: PNode;
-  
-begin
-  first := nil;
-  // Добавляем в начало односвязного списка
-  first := NewNode(3,first);
-  first := NewNode(7,first);
-  first := NewNode(5,first);
-  
-  // Вывод односвязного списка
-  writeln('Содержимое односвязного списка: ');
-  var p := first;
-  while p<>nil do
-  begin
-    write(p^.data,' ');
-    p := p^.next;
-  end;
-  
-  // Разрушение односвязного списка
-  p := first;
-  while p<>nil do
-  begin
-    var p1 := p;
-    p := p^.next;
-    Dispose(p1);
-  end;
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/ProcPointer1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/ProcPointer1.pas
deleted file mode 100644
index 2d54f9fb4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/ProcPointer1.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Процедурные переменные
-
-function add(a,b: integer): integer;
-begin
-  Result := a + b;
-end;
-
-function mult(a,b: integer): integer;
-begin
-  Result := a * b;
-end;
-
-var p: function (a,b: integer): integer;
-  
-  
-begin
-  p := add;
-  writeln('Сумма 2 и 3 равна ',p(2,3));
-  p := mult;
-  writeln('Произведение 2 и 3 равно ',p(2,3));
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/ProcPointer2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/ProcPointer2.pas
deleted file mode 100644
index 2ba35543b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/ProcPointer2.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Процедурная переменная как параметр
-procedure for_each(a: array of real; p: procedure(var r: real));
-begin
-  for var i := 0 to a.Length-1 do
-    p(a[i]);
-end;
-
-procedure mult2(var r: real);
-begin
-  r := 2*r
-end;
-
-procedure print(var r: real);
-begin
-  write(r,' ');
-end;
-
-var a: array of real := (1,2,3,6,7);
-
-begin
-  writeln('Содержимое массива: ');
-  for_each(a,print); 
-  writeln;
-  for_each(a,mult2);
-  writeln('Содержимое массива после умножения его элеметов на 2: ');
-  for_each(a,print);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Reference.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Reference.pas
deleted file mode 100644
index 5dd358cd0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/13_Pointers/Reference.pas
+++ /dev/null
@@ -1,34 +0,0 @@
-// Использование ссылок вместо указателей для создания односвязного списка
-type 
-  Node = class
-    data: integer;
-    next: Node;
-    constructor (d: integer; n: Node);
-    begin
-      data := d;
-      next := n;
-    end;
-  end;
-
-// Переменная типа "класс" представляет собой ссылку на объект, выделяемый конструктором
-var first: Node;
-  
-begin
-  first := nil;
-  // Добавляем в начало односвязного списка
-  first := new Node(3,first);
-  first := new Node(7,first);
-  first := new Node(5,first);
-  
-  // Вывод односвязного списка. ^ отсутствуют
-  writeln('Содержимое односвязного списка (использование ссылок вместо указателей): ');
-  var p := first;
-  while p<>nil do
-  begin
-    write(p.data,' ');
-    p := p.next;
-  end;
-  
-  // Разрушение односвязного списка
-  first := nil; // Сборщик мусора соберет память, на которую никто больше не указывает
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/14_Records/Rec1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/14_Records/Rec1.pas
deleted file mode 100644
index 5b6b049e9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/14_Records/Rec1.pas
+++ /dev/null
@@ -1,35 +0,0 @@
-type
-  SexType = (Male, Female);
-  Person = record
-    Name: string;
-    Age, Weight: integer;
-    Sex: SexType;
-  end;
-  
-procedure WritePerson(const p: Person);
-begin
-  writelnFormat('Фамилия: {0}   Пол: {1}   Возраст: {2}   Вес: {3}',p.Name,p.Sex,p.Age,p.Weight);
-end;
-  
-var 
-  p: Person := (Name: 'Иванов'; Age: 20; Weight: 64; Sex: Male);
-  p1: Person;  
-begin
-  p1 := p; // Присваивание записей
-  var p2: Person;
-  p2.Name := 'Петрова';
-  p2.Age := 18;
-  p2.Weight := 50;
-  p2.Sex := Female;
-  WritePerson(p2);
-  
-  var p3: Person;
-  with p3 do
-  begin
-    Name := 'Сидоров';
-    Age := 24;
-    Weight := 80;
-    Sex := Male;
-  end;
-  WritePerson(p3);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/14_Records/Rec2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/14_Records/Rec2.pas
deleted file mode 100644
index e95d97a88..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/14_Records/Rec2.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Иллюстрация конструкторов и методов в записях
-// Если переопределен метод ToString, то он вызывается при выводе объекта этого типа процедурой writeln 
-type
-  SexType = (Male, Female);
-  Person = record
-    Name: string;
-    Age, Weight: integer;
-    Sex: SexType;
-    constructor (Name: string; Age, Weight: integer; Sex: SexType);
-    begin
-      Self.Name := Name;
-      Self.Age := Age;
-      Self.Sex := Sex;
-      Self.Weight := Weight;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('Имя: {0}   Пол: {1}   Возраст: {2}   Вес: {3}', Name, Sex, Age, Weight);
-    end;
-  end;
-  
-var p: Person := new Person('Иванов',20,70,SexType.Male);
-
-begin
-  writeln(p);
-end.  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/Inheritance1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/Inheritance1.pas
deleted file mode 100644
index 94c4e7ccd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/Inheritance1.pas
+++ /dev/null
@@ -1,66 +0,0 @@
-// Наследование. Полиморфизм и виртуальные функции
-type 
-  Person = class
-  private
-    name: string;
-    age: integer;
-  public
-    constructor (n: string; a: integer);
-    begin
-      name := n; age := a;
-    end;
-    procedure Print; virtual; // Виртуальная функция. Переопределяется в классах-потомках
-    begin
-      var s := GetType.ToString;
-      write('Тип: ',Copy(s,pos('.',s)+1,Length(s)):7,'   Имя: ',name,'   Возраст: ',age);
-    end;
-    procedure Println;
-    begin
-      Print;
-      writeln;
-    end;
-  end;
-  
-  Pupil = class(Person) // Pupil - наследник Person
-  private
-    clas: integer;
-  public
-    constructor (n: string; a,c: integer);
-    begin
-      inherited Create(n,a); // Вызов унаследованного конструктора
-      clas := c;
-    end;
-    procedure Print; override;
-    begin
-      inherited Print;
-      write('   Класс: ',clas);
-    end;
-  end;
-  
-  Teacher = class(Person)
-  private
-    predm: string;
-  public
-    constructor (n: string; a: integer; p: string);
-    begin
-      inherited Create(n,a); // Вызов унаследованного конструктора
-      predm := p;
-    end;
-    procedure Print; override;
-    begin
-      inherited Print;
-      write('   Предмет: ',predm);
-    end;
-  end;
-  
-var a: array of Person := new Person[4]; // Полиморфный контейнер - контейнер объектов базового класса. Может содержать объекты производных классов
-
-begin
-  a[0] := new Pupil('Вова',11,5);
-  a[1] := new Teacher('Марья Ивановна',30,'Информатика');
-  a[2] := new Person('Иванов',65);
-  a[3] := new Pupil('Вася',12,6);
-  
-  for var i:=0 to a.Length-1 do
-    a[i].Println;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/PersonExternal.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/PersonExternal.pas
deleted file mode 100644
index 5d205a700..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/PersonExternal.pas
+++ /dev/null
@@ -1,30 +0,0 @@
-// Описание методов вне интерфейса класса
-// Удобство: интерфейс лучше виден
-// Если класс описан в модуле, то реализация методов помещается в секцию реализации модуля
-type 
-  Person = class
-  private
-    name: string;
-    age: integer;
-  public
-    constructor (n: string; a: integer);
-    procedure Print;
-  end;
-
-//----------------- Person -------------------
-constructor Person.Create(n: string; a: integer);
-begin
-  name := n; age := a;
-end;
-
-procedure Person.Print;
-begin
-  writeln('Имя: ',name,'  Возраст: ',age);
-end;
-
-var p: Person;
-
-begin
-  p := new Person('Иванов',20);
-  p.Print;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/PersonInternal.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/PersonInternal.pas
deleted file mode 100644
index e146f930e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/PersonInternal.pas
+++ /dev/null
@@ -1,30 +0,0 @@
-// Описание методов внутри интерфейса класса
-// Удобство: методы можно реализовывать сразу после объявления
-// Неудобство: для больших классов интерфейс трудно читается
-type 
-  Person = class
-  private
-    // Поля класса, как правило, приватны. Доступ к ним - через методы и свойства
-    name: string;
-    age: integer;
-  public
-    // Конструктор неявно имеет имя Create
-    constructor (n: string; a: integer);
-    begin
-      name := n; age := a;
-    end;
-    procedure Print;
-    begin
-      writeln('Имя: ',name,'  Возраст: ',age);
-    end;
-  end;
-
-var p,p1: Person;
-
-begin
-  p := new Person('Иванов',20); // Новый синтаксис вызова конструктора (рекомендуется)
-  p.Print;
-  p1 := Person.Create('Попов',19); // Старый синтаксис вызова конструктора (не рекомендуется)
-  p1.Print;
-  // Деструкторы отсутствуют, вместо них - автоматическая сборка мусора
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/Properties.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/Properties.pas
deleted file mode 100644
index aa6958bad..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/15_Classes/Properties.pas
+++ /dev/null
@@ -1,35 +0,0 @@
-// Свойства (properties)
-type 
-  /// Класс персоны
-  Person = class
-  private
-    nm: string;
-    ag: integer;
-    procedure SetAge(a: integer); // Процедура доступа к свойству располагается обычно в приватной секции
-    begin
-      if a<0 then // Перед установкой значения свойства мы можем сделать дополнительные проверки 
-        a := 0;   // и скорректировать значение свойства, либо сгенерировать исключение
-      ag := a;  
-    end;
-  public
-    constructor (n: string; a: integer);
-    begin
-      nm := n; ag := a;
-    end;
-    /// Имя персоны
-    property Name: string read nm; // Свойство Name доступно только на чтение и возвращает значение поля nm
-    /// Возраст персоны
-    property Age: integer read ag write SetAge;
-    procedure Print;
-    begin
-      writeln('Имя: ',nm,'  Возраст: ',ag);
-    end;
-  end;
-
-var p: Person := new Person('Иванов', 20);
-
-begin
-  writeln('Имя: ',p.Name); // Менять Name нельзя, доступ - только на чтение
-  p.Age := -1; // Попытка изменения возраста на отрицательное значение приводит к корректировке: возраст становится = 0
-  writeln('Возраст: ',p.Age);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try1.pas
deleted file mode 100644
index c879e8a2f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try1.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-// Простейшая обработка исключений. Ввод с ошибкой
-var a: integer;
-
-begin
-  try 
-    writeln('Введите число: ');
-    // При вводе попробуйте совершить ошибку :)
-    readln(a);
-    writeln('Число введено верно ');
-  except
-    writeln('Ошибка ввода');
-  end;
-  writeln('Выполнение программы продолжено');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try2.pas
deleted file mode 100644
index 4145b1fe0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try2.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Обработка нескольких исключений
-var x: integer;
-
-begin
-  try 
-    writeln('Введите число (1 - ошибка деления на 0): ');
-    readln(x);
-    x := 10 div (x-1);
-  except
-    on System.FormatException do
-      writeln('Ошибка ввода');
-    on System.DivideByZeroException do
-      writeln('Деление на 0');  
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try3.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try3.pas
deleted file mode 100644
index 4fcc48113..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try3.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Иллюстрация finally
-// Секция finally выполняется независимо от того, произошло исключение или нет
-var x: integer := 0;
-
-begin
-  try 
-    if Random(2)=0 then
-      x := 10 div x;
-    writeln('Выполнение продолжается');   
-  finally
-    writeln('Сработала секция finally'); 
-  end;
-  // Если возникает исключение, то этот оператор не выполняется
-  writeln('После секции finally'); 
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try4.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try4.pas
deleted file mode 100644
index 2f61a1b0b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/16_Exceptions/Try4.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-// Исключения. Генерация исключения
-function f(x: integer): integer;
-begin
-  if x=0 then
-    raise new System.Exception('Аргумент функции f не может быть равен 0');
-  Result := 10 mod x;
-end;
-
-begin
-  writeln(f(0));    
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/17_Interfaces/Interf1.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/17_Interfaces/Interf1.pas
deleted file mode 100644
index d96590acc..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/17_Interfaces/Interf1.pas
+++ /dev/null
@@ -1,61 +0,0 @@
-// Интерфейсы. Интерфейс IComparer
-uses System,System.Collections;
-
-type 
-  Student = class
-  private
-    name: string;
-    age,course,group: integer;
-  public
-    constructor (n: string; a,c,g: integer);
-    begin
-      name := n; 
-      age := a;
-      course := c;
-      group := g;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('Имя: {0,9}   Возраст: {1}   Курс: {2}   Группа: {3}',name,age,course,group);
-    end;
-  end;
-  
-  SortByName = class(IComparer)
-  public
-    function Compare(s1,s2: object): integer;
-    begin
-      Result := string.Compare(Student(s1).name,Student(s2).name);
-    end;
-  end;
-
-  SortByAge = class(IComparer)
-  public
-    function Compare(s1,s2: object): integer;
-    begin
-      Result := Student(s1).age - Student(s2).age;
-    end;
-  end;
-  
-procedure WriteArray<T>(prompt: string; a: array of T);
-begin
-  writeln(prompt);
-  foreach x: T in a do
-    writeln(x);
-  writeln;  
-end;
-  
-var a: array of Student;  
-
-begin
-  SetLength(a,5);
-  a[0] := new Student('Иванова',18,2,3);
-  a[1] := new Student('Козлов',19,3,10);
-  a[2] := new Student('Сидорова',22,5,1);
-  a[3] := new Student('Крикунов',17,1,2);
-  a[4] := new Student('Лихачев',25,4,8);
-  WriteArray('Исходный массив:',a);
-  &Array.Sort(a,new SortByName);
-  WriteArray('Сортировка по имени: ',a);
-  &Array.Sort(a,new SortByAge);
-  WriteArray('Сортировка по возрасту: ',a);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/17_Interfaces/Interf2.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/17_Interfaces/Interf2.pas
deleted file mode 100644
index 8dc63b9f7..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/17_Interfaces/Interf2.pas
+++ /dev/null
@@ -1,48 +0,0 @@
-// Интерфейсы. Интерфейс IComparer
-uses System,System.Collections;
-
-type 
-  Student = class
-  private
-    name: string;
-    age,course,group: integer;
-  public
-    constructor (n: string; a,c,g: integer);
-    begin
-      name := n; 
-      age := a;
-      course := c;
-      group := g;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('Имя: {0,9}   Возраст: {1}   Курс: {2}   Группа: {3}',name,age,course,group);
-    end;
-  end;
-  
-procedure WriteArray<T>(prompt:string; a: array of T);
-begin
-  writeln(prompt);
-  foreach x: T in a do
-    writeln(x);
-  writeln;  
-end;
-  
-function IsKozlov(s: Student): boolean;
-begin
-  Result := s.name = 'Козлов'
-end;
-  
-var a: array of Student;  
-
-begin
-  SetLength(a,5);
-  a[0] := new Student('Иванова',18,2,3);
-  a[1] := new Student('Козлов',19,3,10);
-  a[2] := new Student('Сидорова',22,5,1);
-  a[3] := new Student('Крикунов',17,1,2);
-  a[4] := new Student('Лихачев',25,4,8);
-  WriteArray('Исходный массив:',a);
-  
-  writeln('Индекс Козлова = ',&Array.FindIndex(a,IsKozlov));
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/Main.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/Main.pas
deleted file mode 100644
index d5ff4f5c3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/Main.pas
+++ /dev/null
@@ -1,12 +0,0 @@
-// Основная программа, использующая библиотеку MyLib.dll
-// MyLib.pas должен быть предварительно откомпилирован
-#reference 'MyLib.dll'
-
-var f: Frac;
-
-begin
-  writeln('Сумма чисел 2 и 3 равна ',add(2,3));
-  writeln('MyPi = ',MyPi);
-  f := new Frac(2,3);
-  f.Print;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/MyLib.dll b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/MyLib.dll
deleted file mode 100644
index 91ebe6a3b..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/MyLib.dll and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/MyLib.pas b/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/MyLib.pas
deleted file mode 100644
index 89708ec46..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/!Tutorial/18_Dll/MyLib.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Откомпилируйте библиотеку, нажав Ctrl-F9. В папке должен появиться файл MyLib.dll
-
-library MyLib;
-
-const MyPi = 3.14;
-
-function add(a,b: integer): integer;
-begin
-  Result := a + b;
-end;
-
-type 
-  Frac = record
-    num,denom: integer;
-    constructor (n,d: integer);
-    begin
-      num := n;
-      denom := d;
-    end;
-    procedure Print;
-    begin
-      writeln(num,'/',denom);
-    end;
-  end;
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Eratosphen.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Eratosphen.pas
deleted file mode 100644
index 49a1cdb99..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Eratosphen.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// "Решето Эратосфена" - вычисление простых чисел
-const n = 50000;
-
-var  primes: set of integer;
-
-begin
-  primes := [2..n];
-  
-  for var i:=2 to round(sqrt(n)) do
-  begin
-    if not (i in primes) then
-      continue;
-    var x := 2*i;
-    while x<=n do
-    begin
-      Exclude(primes,x);
-      x += i;
-    end;
-  end;
-
-  writeln('Простые числа < ',n,':');
-  writeln(primes);
-  writeln;
-  writeln('Время вычисления: ',Milliseconds/1000);
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/MazeGen.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/MazeGen.pas
deleted file mode 100644
index 003aa4c1b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/MazeGen.pas
+++ /dev/null
@@ -1,106 +0,0 @@
-// Программа генерации случайных лабиринтов
-uses GraphABC;
-
-const
-  szw = 70;      // размер лабиринта
-  szh = 50;
-  cellsz = 10;   // размер ячейки
-
-type
-  point = record
-    x,y: integer;
-  end;
-
-var
-  maze: array [0..szw-1] of array [0..szh-1] of integer;
-  todo: array [0..szw*szh-1] of point;
-  todonum: integer;
-
-const
-  dx: array [0..3] of integer = (0, 0, -1, 1);
-  dy: array [0..3] of integer = (-1, 1, 0, 0);
-
-procedure Init;
-var x,y,n,d: integer;
-begin
-  for x:=0 to szw-1 do
-  for y:=0 to szh-1 do
-    if (x=0) or (x=szw-1) or (y=0) or (y=szh-1) then
-      maze[x][y]:=32
-    else maze[x][y]:=63;
-
-  x := Random(szw-2)+1;
-  y := Random(szh-2)+1;
-
-// Пометить клетку как принадлежащую лабиринту
-  maze[x][y]:= maze[x][y] and not 48;
-
-// Занести в список todo все ближайшие необработанные клетки
-  for var d:=0 to 3 do
-    if (maze[x + dx[d]][y + dy[d]] and 16) <> 0 then
-    begin
-      todo[todonum].x := x + dx[d];
-      todo[todonum].y := y + dy[d];
-      Inc(todonum);
-      maze[x + dx[d]][y + dy[d]] := maze[x + dx[d]][y + dy[d]] and not 16;
-    end;
-
-   // Пока не обработаны все клетки
-   while todonum > 0 do
-   begin
-     // Выбрать из списка todo произвольную клетку
-     n := Random(todonum);
-     x := todo[n].x;
-     y := todo[n].y;
-
-     // Удалить из списка обработанную клетку
-     Dec(todonum);
-     todo[n]:= todo[todonum];
-
-     // Выбрать направление, которое ведет к лабиринту
-     repeat
-       d:=Random (4);
-     until not ((maze[x + dx[d]][y + dy[d]] and 32) <> 0);
-
-     // Присоединить выбранную клетку к лабиринту
-     maze[x][y] := maze[x][y] and not ((1 shl d) or 32);
-     maze[x + dx[d]][y + dy[d]] := maze[x + dx[d]][y + dy[d]] and not (1 shl (d xor 1));
-
-     // Занести в список todo все ближайшие необработанные клетки
-     for var d:=0 to 3 do
-       if (maze[x + dx[d]][y + dy[d]] and 16) <> 0 then
-       begin
-         todo[todonum].x := x + dx[d];
-         todo[todonum].y := y + dy[d];
-         Inc(todonum);
-         maze[x + dx[d]][y + dy[d]] := maze[x + dx[d]][y + dy[d]] and not 16;
-       end;
-   end;
-
-   maze[1][1] := maze[1][1] and not 1;                 // начало лабиринта - в левом верхнем углу
-   maze[szw-2][szh-2] := maze[szw-2][szh-2] and not 2; // конец лабиринта - в правом нижнем углу
-end;
-
-procedure Draw;
-begin
-  for var x:=1 to szw-2 do
-  for var y:=1 to szh-2 do
-  begin
-   if ((maze[x][y] and 1) <> 0) then // верхняя стена
-     Line(x * cellsz, y * cellsz, x * cellsz + cellsz , y * cellsz);
-   if ((maze[x][y] and 2) <> 0) then // нижняя стена
-     Line(x * cellsz, y * cellsz + cellsz, x * cellsz + cellsz , y * cellsz + cellsz);
-   if ((maze[x][y] and 4) <> 0) then // левая стена
-     Line(x * cellsz, y * cellsz, x * cellsz, y * cellsz + cellsz );
-   if ((maze[x][y] and 8) <> 0) then // правая стена
-     Line(x * cellsz + cellsz, y * cellsz, x * cellsz + cellsz, y * cellsz + cellsz);
-  end;
-end;
-
-begin
-  Window.Title := 'Генерация лабиринта';
-  SetWindowSize(szw*cellsz,szh*cellsz);
-  Init;
-  Draw;
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/ESquares.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/ESquares.pas
deleted file mode 100644
index ceb9752cd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/ESquares.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// E-квадраты. Демонстрация рекурсии
-uses GraphABC;
-
-const mw = 2.9;
-
-procedure ESquares(n,x,y,w: integer);
-begin
-  var w1 := round(w/mw);
-  var h := (w-2*w1) div 3;
-  Brush.Color := clRandom;
-  Rectangle(x,y,x+w,y+w);
-  if n>0 then
-  begin
-    Sleep(1);
-    ESquares(n-1,x+h,y+h,w1);
-    ESquares(n-1,x+w-h-w1,y+h,w1);
-    ESquares(n-1,x+h,y+w-h-w1,w1);
-    ESquares(n-1,x+w-h-w1,y+w-h-w1,w1);
-  end;
-end;
-
-begin
-  Window.Title := 'Рекурсия: E-квадраты';
-  SetWindowSize(750,530);
-  Pen.Color := clWhite;
-  ESquares(4,125,18,490);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/Hanoi.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/Hanoi.pas
deleted file mode 100644
index c315a89fa..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/Hanoi.pas
+++ /dev/null
@@ -1,121 +0,0 @@
-// Ханойские башни
-uses GraphABC;
-
-type
-  /// Тип диска
-  DiskType = record
-    /// Диаметр диска
-    Sz: integer;
-    /// Цвет диска
-    Color: GraphABC.Color;
-  end;
-  /// Тип массива дисков на стержне
-  DiskArr = array of DiskType;
-
-const
-  /// Количество дисков
-  CountDisks = 8;
-  /// Высота диска
-  DiskHeight = 12;
-  /// Приращение ширины диска
-  DiskWidthDelta = 12;
-  h = CountDisks * DiskWidthDelta * 2 + 20; 
-  /// y-координата основания пирамид дисков
-  y0 = DiskHeight * CountDisks + 80;
-  hh = 30;
-  /// x-координата первого стержня
-  x1 = h div 2 + hh;
-  /// x-координата второго стержня
-  x2 = x1 + h;
-  /// x-координата третьего стержня
-  x3 = x2 + h;
-  /// Пауза, мс
-  delay = 50;
-
-var
-  /// Массив пирамид дисков 
-  Tower: array [1..3] of DiskArr;
-  /// Массив количеств дисков в пирамидах
-  DisksInTower: array [1..3] of integer;
-  /// Номер хода
-  MoveNumber: integer;
-
-/// Рисование пирамиды
-procedure DrawTower(a: DiskArr; n: integer; x0,y0: integer);
-begin
-  Brush.Color := clBlack;
-  Rectangle(x0-5,y0,x0+5,y0-DiskHeight*CountDisks-10);
-  for var i:=0 to n-1 do
-  begin
-    Brush.Color := a[i].Color;
-    Rectangle(x0-a[i].sz*DiskWidthDelta,y0-DiskHeight*(i-1),x0+a[i].sz*DiskWidthDelta,y0-DiskHeight*i+1)
-  end;
-end;
-
-/// Рисование всех пирамид и информационной строки
-procedure DrawAll;
-begin
-  DrawTower(Tower[1],DisksInTower[1],x1,y0);
-  DrawTower(Tower[2],DisksInTower[2],x2,y0);
-  DrawTower(Tower[3],DisksInTower[3],x3,y0);
-  Brush.Color := clWhite;
-  TextOut(20,20,'Число перемещений дисков = '+IntToStr(MoveNumber));
-  Redraw;
-end;
-
-/// Перемещение диска со стержня FromN на стержень ToN
-procedure MoveDisk(FromN, ToN: integer);
-begin
-  Inc(MoveNumber);
-  Inc(DisksInTower[ToN]);
-  Tower[ToN][DisksInTower[ToN]-1] := Tower[FromN][DisksInTower[FromN]-1];
-  Dec(DisksInTower[FromN]);
-  Sleep(delay);
-  ClearWindow;
-  DrawAll;
-end;
-
-/// Основная екурсивная процедура алгоритма "Ханойские башни"
-procedure MoveTower(n: integer; FromN, ToN, WorkN: integer);
-begin
-  if n=0 then exit;
-  MoveTower(n-1, FromN, WorkN, ToN);
-  MoveDisk(FromN, ToN);
-  MoveTower(n-1, WorkN, ToN, FromN);
-end;
-
-/// Инициализация массивов
-procedure InitTowers;
-begin
-  SetLength(Tower[1],CountDisks);
-  SetLength(Tower[2],CountDisks);
-  SetLength(Tower[3],CountDisks);
-  DisksInTower[1] := CountDisks;
-  DisksInTower[2] := 0;
-  DisksInTower[3] := 0;
-  for var i:=0 to DisksInTower[1]-1 do
-  begin
-    Tower[1][i].Sz := DisksInTower[1]-i+1;
-    Tower[1][i].Color := clRandom;
-  end;
-end;
-
-/// Инициализация окна
-procedure InitWindow;
-begin
-  SetWindowSize(x3+x1,y0+50);
-  CenterWindow;
-  Window.Title := 'Ханойские башни';
-  Font.Size := 14;
-  Font.Name := 'Arial';
-end;
-
-begin
-  InitWindow;
-  InitTowers;
-  LockDrawing;
-  DrawAll;
-  MoveTower(CountDisks,1,3,2);
-end.
-
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/Knapsack.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/Knapsack.pas
deleted file mode 100644
index 53993e66c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/Knapsack.pas
+++ /dev/null
@@ -1,57 +0,0 @@
-// Задача о ранце. В массиве B заданы веса предметов.
-// Выдать все варианты полной комплектации ранца частью этих предметов
-const Sz=100;
-
-type IntArr = array [1..Sz] of integer;
-
-procedure PrintArr(const A: IntArr; n: integer);
-begin
-  for var i:=1 to n do
-    write(A[i],' ');
-  writeln;
-end;
-
-procedure TrySolve(n: integer; const B: IntArr; nb: integer);
-var
-  Subset: IntArr;
-  space: integer;
-  ns: integer;
-
-  procedure TrySolve0(i: integer);
-  begin
-    if space=0 then 
-      PrintArr(Subset,ns)
-    else if (space<0) or (i>nb) then 
-      exit // отсечение
-    else // продолжение перебора всех подмножеств множества B
-    begin
-      TrySolve0(i+1); // попробовать не взять i-тый элемент
-
-      ns += 1; 
-      Subset[ns] := B[i]; 
-      space := space - B[i];
-      TrySolve0(i+1); // попробовать взять i-тый элемент
-      space := space + B[i]; 
-      ns -= 1;
-    end;
-  end;
-  
-begin
-  space:=n;
-  TrySolve0(1);
-end;
-
-procedure FillArr(var B: IntArr; var n: integer);
-begin
-  n:=5; // количество предметов
-  B[1]:=8; B[2]:=5; B[3]:=13; B[4]:=3; B[5]:=15; // веса предметов
-end;
-
-var
-  B: IntArr;
-  nb: integer;
-
-begin
-  FillArr(B,nb);
-  TrySolve(23,B,5);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/TreeDraw.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/TreeDraw.pas
deleted file mode 100644
index 3251ca1dc..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Recursion/TreeDraw.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Рекурсивное рисование двоичного дерева
-uses GraphABC;
-
-const 
-  LevelHeight = 50;
-  Levels = 8;
-  delay = 10;
-
-procedure DrawTree(x,y,dx,level: integer);
-// обход: левое поддерево, корень, правое
-begin
-  if level>0 then 
-  begin
-    DrawTree(x-dx,y+LevelHeight,dx div 2,level-1);
-    Line(x,y,x-dx,y+LevelHeight);
-    Line(x,y,x+dx,y+LevelHeight);
-    Sleep(delay);
-    DrawTree(x+dx,y+LevelHeight,dx div 2,level-1);
-  end;
-end;
-
-begin
-  Window.Title := 'Рекурсивное рисование бинарного дерева';
-  SetSmoothingOff;
-  SetWindowSize(800,30+Levels*LevelHeight);
-  DrawTree(WindowWidth div 2,10,WindowWidth div 5,Levels);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Simple/SimpleNumbers.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Simple/SimpleNumbers.pas
deleted file mode 100644
index bb0174db0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/Simple/SimpleNumbers.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Генерация больших простых чисел
-begin
-  writeln('Большие простые числа: ');
-  var count := 0;
-  var beg := Random(1000000000)+2;
-  for var i:=beg to beg+5000 do
-  begin
-    var f := True;
-    var j := 2;
-    var r := round(sqrt(i));
-    while f and (j<=r) do
-      if i mod j = 0 then f := false
-        else j += 1;
-    if f then
-    begin
-      write(i,' ');
-      Inc(count);
-      if count mod 5 = 0 then writeln;
-    end;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/ArrayLib.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/ArrayLib.pas
deleted file mode 100644
index a06ade6a4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/ArrayLib.pas
+++ /dev/null
@@ -1,33 +0,0 @@
-unit ArrayLib;
-
-/// Вывод массива 
-procedure WriteArray<T>(a: array of T); 
-begin
-  for var i:=0 to a.Length-1 do
-    write(a[i],' ');
-  writeln;
-end;
-
-procedure WriteArray(a: array of real); 
-begin
-  foreach x: real in a do
-    write(x:0:1,'  ');
-  writeln;
-end;
-
-/// Создание массива и заполнение его случайными числами
-procedure CreateRandom(var a: array of integer; n: integer);
-begin
-  a := new integer[n];
-  for var i:=0 to n-1 do
-    a[i] := random(100);
-end;
-
-procedure CreateRandom(var a: array of real; n: integer);
-begin
-  a := new real[n];
-  for var i:=0 to n-1 do
-    a[i] := random*10;
-end;
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/QuickSort.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/QuickSort.pas
deleted file mode 100644
index 9a778619a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/QuickSort.pas
+++ /dev/null
@@ -1,55 +0,0 @@
-// Быстрая сортировка Ч. Хоара
-uses ArrayLib;
-
-/// Быстрая сортировка 
-procedure QuickSort(a: array of integer);
-  
-/// Разделение a[l]..a[r] на части a[l]..a[q] <= a[q+1]..a[r] 
-  function Partition(l,r: integer): integer;
-  begin
-    var i := l - 1;
-    var j := r + 1;
-    var x := a[l];
-    while True do
-    begin
-      repeat
-        Inc(i);
-      until a[i]>=x;
-      repeat
-        Dec(j);
-      until a[j]<=x;
-      if i<j then 
-        Swap(a[i],a[j])
-      else 
-      begin
-        Result := j;
-        exit;
-      end;
-    end;
-  end;
-  
-/// Сортировка частей
-  procedure sort(l,r: integer);
-  begin
-    if l>=r then exit;
-    var j := Partition(l,r);
-    sort(l,j);
-    sort(j+1,r);
-  end;
-
-begin
-  sort(0,a.Length-1)
-end;
-
-const n = 20;
-
-var a: array of integer;
-
-begin
-  CreateRandom(a,n);
-  writeln('До сортировки: ');
-  WriteArray(a);
-  QuickSort(a);
-  writeln('После сортировки: ');
-  WriteArray(a);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/SortByChoice.pas b/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/SortByChoice.pas
deleted file mode 100644
index ed67282aa..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Algorithms/SortArrays/SortByChoice.pas
+++ /dev/null
@@ -1,37 +0,0 @@
-// Сортировка выбором
-uses ArrayLib;
-
-procedure SortByChoice(a: array of real);
-begin
-  for var i:=0 to a.Length-2 do
-  begin
-    var min := a[i]; 
-    var ind := i;
-    for var j:=i+1 to a.Length-1 do
-      if a[j]<min then
-      begin
-        min := a[j];
-        ind := j;
-      end;
-    a[ind] := a[i];
-    a[i] := min;
-  end;
-end;
-
-function CreateRandomArr(n: integer): array of real; 
-begin
-  Result := new real[n];
-  for var i:=0 to Result.Length-1 do
-    Result[i] := Random(100);
-end;
-
-var a: array of real;
-
-begin
-  a := CreateRandomArr(20);
-  writeln('Содержимое массива: ');
-  WriteArray(a);
-  SortByChoice(a);
-  writeln('После сортировки выбором: ');
-  WriteArray(a);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/15.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/15.pas
deleted file mode 100644
index 23206ab8b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/15.pas
+++ /dev/null
@@ -1,179 +0,0 @@
-// Игра в 15
-uses GraphABC,ABCObjects,ABCButtons;
-
-const
-/// размер поля
-  n = 4;
-/// размер фишки
-  sz = 100;
-/// зазор между фишками
-  zz = 10;
-/// отступ от левого и правого краев
-  x0 = 20;
-/// отступ от верхнего и нижнего краев
-  y0 = 20;
-
-var
-  p: array [1..n,1..n] of SquareABC;
-  digits: array [1..n*n-1] of integer;
-
-  MeshButton: ButtonABC;
-  StatusRect: RectangleABC;
-
-  EmptyCellX,EmptyCellY: integer;
-  MovesCount: integer;
-  EndOfGame: boolean;  // True если все фишки стоят на своих местах
-
-// Поменять местами две фишки
-procedure Swap(var p,p1: SquareABC);
-begin
-  PABCSystem.Swap(p,p1);
-  var i := p.Left;
-  p.Left := p1.Left;
-  p1.Left := i;
-  i := p.Top;
-  p.Top := p1.Top;
-  p1.Top := i;
-end;
-
-// Определить, являются ли клетки соседями
-function Sosedi(x1,y1,x2,y2: integer): boolean;
-begin
-  Result := (abs(x1-x2)=1) and (y1=y2) or (abs(y1-y2)=1) and (x1=x2)
-end;
-
-// Заполнить вспомогательный массив цифр
-procedure FillDigitsArr;
-begin
-  for var i:=1 to n*n-1 do
-    digits[i] := i;
-end;
-
-// Перемешать вспомогательный массив цифр. Количество обменов должно быть четным
-procedure MeshDigitsArr;
-var x: integer;
-begin
-  for var i:=1 to n*n-1 do
-  begin
-    repeat
-      x := Random(15)+1;
-    until x<>i;
-    Swap(digits[i],digits[x]);
-  end;
-  if n mod 2=0 then
-    Swap(digits[1],digits[2]); // количество обменов должно быть четным
-end;
-
-// Заполнить двумерный массив фишек. Вместо пустой ячейки - белая фишка с числом 0
-procedure Fill15ByDigitsArr;
-begin
-  Swap(p[EmptyCellY,EmptyCellX],p[n,n]); // Переместить пустую фишку в правый нижний угол
-  EmptyCellX := n;
-  EmptyCellY := n;
-  var i := 1;
-  for var y:=1 to n do
-  for var x:=1 to n do
-  begin
-    if x*y=n*n then exit;
-    p[y,x].Number := digits[i];
-    i += 1;
-  end;
-end;
-
-// Перемешать массив фишек
-procedure Mesh15;
-begin
-  MeshDigitsArr;
-  Fill15ByDigitsArr;
-  MovesCount := 0;
-  EndOfGame := False;
-  StatusRect.Text := 'Количество ходов: '+IntToStr(MovesCount);
-  StatusRect.Color := RGB(200,200,255);
-end;
-
-// Создать массив фишек
-procedure Create15;
-begin
-  EmptyCellX := n;
-  EmptyCellY := n;
-  for var x:=1 to n do
-  for var y:=1 to n do
-  begin
-    p[y,x] := new SquareABC(x0+(x-1)*(sz+zz),y0+(y-1)*(sz+zz),sz,clMoneyGreen);
-    p[y,x].BorderColor := clGreen;
-    p[y,x].BorderWidth := 2;
-    p[y,x].TextScale := 0.7;
-  end;
-  p[EmptyCellY,EmptyCellX].Color := clWhite;
-  p[EmptyCellY,EmptyCellX].BorderColor := clWhite;
-  FillDigitsArr;
-  MeshDigitsArr;
-  Fill15ByDigitsArr;
-end;
-
-// Проверить, все ли фишки стоят на своих местах
-function IsSolution: boolean;
-var x,y,i: integer;
-begin
-  Result:=True;
-  i:=1;
-  for y:=1 to n do
-  for x:=1 to n do
-  begin
-    if p[y,x].Number<>i then
-    begin
-      Result:=False;
-      break;
-    end;
-    Inc(i);
-    if i=n*n then i:=0;
-  end;
-end;
-
-procedure MouseDown(x,y,mb: integer);
-begin
-  if EndOfGame then // Если все фишки на своих местах, то не реагировать на мышь и ждать нажатия кнопки "Перемешать"
-    exit;
-  if ObjectUnderPoint(x,y)=nil then // Eсли мы щелкнули не на объекте, то не реагировать на мышь
-    exit;
-  var fx := (x-x0) div (sz+zz) + 1; // Вычислить координаты на доске для ячейки, на которой мы щелкнули мышью
-  var fy := (y-y0) div (sz+zz) + 1;
-  if (fx>n) or (fy>n) then
-    exit;
-  if Sosedi(fx,fy,EmptyCellX,EmptyCellY) then // Если ячейка соседствует с пустой, то поменять их местами
-  begin
-    Swap(p[EmptyCellY,EmptyCellX],p[fy,fx]);
-    EmptyCellX := fx;
-    EmptyCellY := fy;
-    Inc(MovesCount);
-    StatusRect.Text := 'Количество ходов: ' + IntToStr(MovesCount);
-    if IsSolution then
-    begin
-      StatusRect.Text := 'Победа! Сделано ходов: ' + IntToStr(MovesCount);
-      StatusRect.Color := RGB(255,200,200);
-      EndOfGame := True;
-    end
-  end;
-end;
-
-begin
-  SetSmoothingOff;
-  Window.Title := 'Игра в 15';
-  Window.IsFixedSize := True;
-  SetWindowSize(2*x0+(sz+zz)*n-zz,2*y0+(sz+zz)*n-zz+90);
-  
-  EndOfGame := False;
-  Create15;
-
-  MeshButton := ButtonABC.Create((WindowWidth-200) div 2,2*y0+(sz+zz)*n-zz,200,'Перемешать',clLightGray);
-  MeshButton.OnClick := Mesh15;
-  StatusRect := new RectangleABC(0,WindowHeight-40,WindowWidth,40,RGB(200,200,255));
-  StatusRect.TextVisible := True;
-  StatusRect.Text := 'Количество ходов: '+IntToStr(MovesCount);
-  StatusRect.BorderWidth := 2;
-  StatusRect.BorderColor := RGB(80,80,255);
-
-  MovesCount := 0;
-
-  OnMouseDown := MouseDown;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Animals/Animals.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Animals/Animals.pas
deleted file mode 100644
index b8eda8322..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Animals/Animals.pas
+++ /dev/null
@@ -1,96 +0,0 @@
-// Самообучающаяся игра "Угадай животное". 
-// Старайтесь на вопрос "Чем отличается" вводить самый общий ответ
-// Например: "Чем отличается чиж от ежа" - "Умеет летать"
-type
-  TNode = class
-    s: string;
-    left,right: TNode;   
-    constructor(s: string);
-    begin
-      Self.s := s;
-      left := nil;
-      right := nil;
-    end;
-  end;
-
-var f: text;
-
-/// Сохранить дерево в файл 
-procedure SaveToFile(p: TNode);
-begin
-  if p=nil then
-  begin
-    writeln(f,'');
-    exit
-  end;
-  writeln(f,p.s);
-  SaveToFile(p.left);
-  SaveToFile(p.right);
-end;
-
-/// Загрузить дерево из файла
-function LoadFromFile: TNode;
-var
-  s: string;
-  p: TNode;
-begin
-  readln(f,s);
-  if s='' then
-  begin
-    Result := nil;
-    exit
-  end;
-  p := new TNode(s);
-  p.left := LoadFromFile;
-  p.right := LoadFromFile;
-  Result := p;
-end;
-
-var
-  p,p1,p2,root: TNode;
-  x: integer;
-  s,q: string;
-
-begin
-  writeln('Загадайте животное');
-  assign(f, 'animals_data.txt');
-  if not FileExists('animals_data.txt') then
-    root := new TNode('Собака')
-  else
-  begin
-    reset(f);
-    root := loadfromfile;
-    close(f);
-  end;
-
-  p := root;
-  while p.left<>nil do
-  begin
-    write(p.s+'? (0 - Нет, 1 - Да): ');
-    readln(x);
-    if x=1 then 
-      p := p.left
-    else 
-      p := p.right
-  end;
-  
-  write('Это '+p.s+'? (0 - Нет, 1 - Да): ');
-  readln(x);
-  if x=1 then
-    writeln('Я угадала!')
-  else
-  begin
-    write('Я проиграла. Что это за животное? ');
-    readln(s);
-    write('Введите вопрос, отличающий это животное от '+p.s+': ');
-    readln(q);
-    p1 := new TNode(s);
-    p2 := new TNode(p.s);
-    p.s := q;
-    p.left := p1;
-    p.right := p2;
-  end;
-  Rewrite(f);
-  SaveToFile(root);
-  Close(f);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Animals/animals_data.txt b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Animals/animals_data.txt
deleted file mode 100644
index f7ff8b724..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Animals/animals_data.txt
+++ /dev/null
@@ -1,147 +0,0 @@
-��� �����
-�� ������
-�������� �����
-������
-
-
-�� ����� ������
-�������
-
-
-������
-
-
-����� ��������� �����
-����� � ������
-�������
-
-
-�������
-
-
-�������
-������
-
-
-����
-�������
-
-
-�����
-
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-��� �������
-�����
-
-
-��� ������� ��������
-��� ����
-�� ������
-����� ���
-���
-
-
-�������
-
-
-�����
-
-
-��� �������
-��� �����
-�����
-
-
-������
-
-
-��� ����������������
-��� ��������
-�������
-
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-�������
-
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-��� �����
-���� ������
-���
-
-
-����� ������
-����� ��������� �����
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-
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-����
-
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-��������
-
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-����� ������� �����
-����� ��� �� ����
-�������
-
-
-�������
-
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-����� ������� ���
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-
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-���� ������
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diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Battle.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Battle.pas
deleted file mode 100644
index 8e7c03bc5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Battle.pas
+++ /dev/null
@@ -1,318 +0,0 @@
-uses GraphABC;
- 
-const types = 3;               //число типов рыб минус 1
-      rmax = 4;                //радиус всех рыб
-      CanEat = rmax;           //максимальное расстояние при поедании
-      eps = 0.00001;           //необходимо при операциях с данными real
-      epsustupi = 0.1;         //насколько значима иерархия среди хищников
-      strahkraj = 3;           //во сколько раз жертвы боятся края меньше, чем хищников
-      ustupi = CanEat*10;      //насколько значима иерархия среди хищников
-      BkColor = clBlack;       //Фон
-      Height = 600;            //Высота графического окна
-      Width = 780;             //Ширина графического окна
-      xmin = 10;               //
-      ymin = 10;               //Минимальные и максимальные значения координат,
-      xmax = Width - 100;      //которые могут принимать рыбы
-      ymax = Height - 140;     //
-
-Type
-fishtype = class //Описание одной стаи
-           c : color;
-           public
-		CanRazm, MaxKol, Kol, MaxLife, MinFood: integer;
-            //цвет, размножение, макс. кол-во, текущее кол-во, макс. жизнь,
-            //сколько хищнику нужно есть для размножения
-           Speed, See: real;  //Нормальная скорость и зрение в пикселях
-           constructor create(ac:color; aCanRazm, aMaxKol, aMaxLife, aMinFood:integer; aSpeed, aSee: real);
-             begin
-             c:= ac; CanRazm:= aCanRazm; MaxKol:= aMaxKol; Kol:= 1;
-             MaxLife:= aMaxLife; MinFood:= aMinFood; Speed:= aSpeed; See:= aSee
-             end;
-           procedure ShowKol(y: integer); //отобразить текущее кол-во
-             var s: string;
-             begin
-             SetFontColor(c);
-             TextOut(xmax + 20, y, '      ');
-             s := IntToStr(kol);
-             TextOut(xmax + 20, y, s);
-             end;
-           end;
-
-var opisanie: array[0..types] of fishtype; //данные для всех стай
-
-Type
-fish = class
-       x, y, r, dx0, dy0: real; //текущие координаты, радиус и предыдущий шаг
-       tip, life, razm, status, food: integer;
-       //razm - время с момента последнего размножения,
-       //status - состояние - спокойное или возбуждённое
-       next, prev: fish; //двусвязный циклический список
-       constructor Create(ax, ay, ar: real; atip: integer; aprev, anext: fish);
-         begin
-         x:= ax; y:= ay; r:= ar; tip:= atip; prev:= aprev; next:= anext;
-         life:= 0; razm:= 0; dx0:= random; dy0:= random; status:= 1; food:= 0;
-         end;
-       procedure show;
-         begin
-         SetPenColor(opisanie[tip].c);
-         circle(round(x), round(y), round(r))
-         end;
-       procedure hide;
-         begin
-         SetPenColor(BkColor);
-         circle(round(x), round(y), round(r))
-         end;
-       procedure Destroy;
-         begin
-         hide;
-         opisanie[tip].kol:= opisanie[tip].kol - 1;
-         opisanie[tip].ShowKol(tip*40 + 20);
-         end;
-       procedure moveto(dx, dy: real);
-         begin
-         hide;
-         x:= x + dx; y:= y + dy;
-         if x > xmax then x:= xmax;
-         if x < xmin then x:= xmin;
-         if y > ymax then y:= ymax;
-         if y < ymin then y:= ymin;
-         show
-         end;
-
-       procedure MakeDeti(var mama, StartAkula, KonAkula, StartKilka, KonKilka : fish);
-       //произвести потомство
-         var d: fish;
-         begin
-         razm:= 0;
-         food:= 0;
-         d:= fish.create(x, y, r, tip, mama, next);
-         next.prev:= d;
-         next:= d;
-         if mama = KonAkula then KonAkula:= d;
-         if mama = KonKilka then KonKilka:= d;
-         opisanie[tip].kol:= opisanie[tip].kol + 1;
-         opisanie[tip].ShowKol(tip*40 + 20);
-         end;
-
-       procedure step(var ribka, StartAkula, KonAkula, StartKilka, KonKilka : fish);
-       //Здесь алгоритмы для рыб
-         var 
-             dx, dy, d, dx2, dy2, dmin: real;
-             t, trup, found: fish;
-             FoundOhot: boolean;
-         begin
-         status:= 1; //Нормальное состояние
-         dx:= 0; dy:= 0;
-         if tip > 0 then
-           begin           //Начало алгоритма для жертв
-           t:= StartAkula;
-           if t<>nil then
-             repeat        //Ищем всех хищников в поле видимости
-             d:= sqrt((x - t.x)*(x - t.x) + (y - t.y)*(y - t.y));
-             if d < opisanie[tip].See then
-               begin
-               if d < eps then d:= eps;
-               dx2:= (x - t.x)/(d*d);
-               dy2:= (y - t.y)/(d*d);
-               dx:= dx + dx2;
-               dy:= dy + dy2;
-               status:= 2; //Возбуждённое состояние
-               end;
-             t:= t.next
-             until t = KonAkula.next;
-           //И обратим внимание на края:
-           if x - xmin < opisanie[tip].See then dx:= dx + 1/((x - xmin + eps)*strahkraj);
-           if xmax - x < opisanie[tip].See then dx:= dx + 1/((x - xmax - eps)*strahkraj);
-           if y - ymin < opisanie[tip].See then dy:= dy + 1/((y - ymin + eps)*strahkraj);
-           if ymax - y < opisanie[tip].See then dy:= dy + 1/((y - ymax - eps)*strahkraj);
-           d:= sqrt(dx*dx + dy*dy);
-           if d < eps then
-             begin
-             dx:= 2*status*random()*opisanie[tip].Speed - status*opisanie[tip].Speed;
-             dy:= 2*status*random()*opisanie[tip].Speed - status*opisanie[tip].Speed
-             end
-                      else
-             begin
-             dx:= status*opisanie[tip].Speed*dx/d;
-             dy:= status*opisanie[tip].Speed*dy/d
-             end
-           end
-                     else {tip = 0}
-           begin  //Начало алгоритма для хищников
-           dmin:= 11000;
-           t:= StartAkula;
-           while t<>ribka do //Проверяем всех выше по иерархии
-             begin
-
-	     d:= sqrt((x - t.x)*(x - t.x) + (y - t.y)*(y - t.y));
-             if (d < dmin) and (abs(dx0 - t.dx0) < epsustupi) and
-                (abs(dy0 - t.dy0) < epsustupi) then dmin:= d;
-             
-		t:= t.next
-             end;
-           FoundOhot:= dmin < ustupi;
-           dmin:= 11000;
-           found:= nil;
-           t:= StartKilka;
-           if (t<>nil) and (life > 100) and not FoundOhot then
-             repeat
-	       
-             d:= sqrt((x - t.x)*(x - t.x) + (y - t.y)*(y - t.y));
-             if d < dmin then
-               begin
-               dmin:= d;
-               found:= t         //found - ближайшая жертва
-               end;
-             t:= t.next
-             until t = KonKilka.next;
-           if (found <> nil) and (dmin < opisanie[tip].See) then
-             begin
-             status:= 2;         //Возбуждённое состояние
-             dx:= found.x - x;
-             dy:= found.y - y;
-             if dmin < CanEat + status*opisanie[tip].Speed then
-               begin   //Поедание
-               found.next.prev:= found.prev;
-               found.prev.next:= found.next;
-               if (found = StartKilka) and (found = KonKilka) then
-                 begin
-                 //StartKilka:= nil;
-                 //KonKilka:= nil
-                 end;
-               if found = StartKilka then
-                 StartKilka:= StartKilka.next;
-               if found = KonKilka then
-                 KonKilka:= KonKilka.prev;
-               found.destroy;
-		found := nil;
-               food:= food + 1
-               end
-             end
-                           else
-             if (x <= xmin) or (x >= xmax) or (y <= ymin) or (y >= ymax) then
-               begin
-               dx:= 2*status*random()*opisanie[tip].Speed - status*opisanie[tip].Speed;
-               dy:= 2*status*random()*opisanie[tip].Speed - status*opisanie[tip].Speed
-               end
-                                                                         else
-               begin
-               dx:= dx0; dy:= dy0 //Повтор предыдущего шага - патрулирование
-               end;
-           d:= sqrt(dx*dx + dy*dy);
-           if d > eps then
-             begin
-             dx:= status*opisanie[tip].Speed*dx/d;
-             dy:= status*opisanie[tip].Speed*dy/d;
-             end
-           end;
-         //Начало алгоритма для всех рыб
-         moveto(dx, dy);
-         dx0:= dx; dy0:= dy;
-         life:= life + 1; razm:= razm + 1;
-         if opisanie[tip].Kol >= opisanie[tip].MaxKol then Razm:= 0;
-         if (razm > opisanie[tip].CanRazm) and (food >= opisanie[tip].minfood) then
-           MakeDeti(ribka, StartAkula, KonAkula, StartKilka, KonKilka);
-           if life > opisanie[tip].MaxLife then  //Смерть от старости
-             begin
-             trup:= ribka; ribka:= ribka.prev;
-             trup.next.prev:= trup.prev;
-             trup.prev.next:= trup.next;
-             if trup = StartKilka then
-               StartKilka:= StartKilka.next;
-             if trup = KonKilka then
-               KonKilka:= KonKilka.prev;
-             if trup = StartAkula then
-               StartAkula:= StartAkula.next;
-             if trup = KonAkula then
-               KonAkula:= KonAkula.prev;
-             if trup = trup.next then ribka:= nil;
-             if trup <> nil then 
-             trup.destroy;
-	     trup := nil;
-             end
-         end;
-
-       end;
-
-function getAllCount:integer;
-var i,c:integer;
-begin
-  c:=0;
-  for i:=0 to types do
-    c:=c+opisanie[i].Kol;
-  getAllCount:=c;
-end;
-
-var i: integer;
-    p, q, StartAkula, StartKilka, KonAkula, KonKilka, tek: fish;
-
-begin
-  SetSmoothing(False);
-  SetWindowSize(Width, Height);
-  SetWindowLeft(200);
-  SetWindowTop(50);
-  SetWindowCaption('Битва за жизнь');
-  SetFontSize(7);
-  SetFontName('Arial');
-  SetBrushColor(BkColor);
-  FillRectangle(0, 0, Width, Height);
-  SetFontColor(clWhite);
-  TextOut(10, ymax + 20, 'Автор программы - Иванов С.О.          e-mail: ssyy@yandex.ru');
-  TextOut(10, ymax + 20+1*18, 'Программа моделирует поведение нескольких стай рыб. Справа - количества рыб в текущий');
-  TextOut(10, ymax + 20+2*18, 'момент времени. Изменяя параметры в коде программы, можно влиять на ход битвы.');
-  TextOut(10, ymax + 20+3*18, 'По умолчанию: красные - хищники, поедают любых рыб из других стай, не плодятся,');
-  TextOut(10, ymax + 20+4*18, 'пока не поели; синие - жертвы, самые медленные, но быстрее всех плодятся; зелёные - жертвы,');
-  TextOut(10, ymax + 20+5*18, 'быстрее синих, но плодятся медленнее; желтые - самые быстрые среди жертв, но желтых мало.');
-  SetFontSize(12);
-  StartAkula:= nil;
-  StartKilka:= nil;
-  KonAkula:= nil;
-  KonKilka:= nil;
-  
-  //c - цвет.
-  //CanRazm - минимальное  количество  ходов  отдельно  взятой  рыбы  между  двумя
-  //  её  последовательными  размножениями.
-  //MaxKol - максимально  допустимое  количество  рыб  данного  вида.
-  //Kol - количество  рыб  данного  вида  в  текущий  момент  времени.
-  //MaxLife - максимальная  продолжительность  жизни.
-  //  После  того,  как  рыба  сделает  больше  шагов,  чем  это  число,  она  умирает.
-  //MinFood - минимальное  количество  съеденных  жертв,  необходимое  для размножения
-  //  (только  для  хищников;  для  жертв  это  количество  принято  за  -1).
-  //Speed - нормальная скорость.  Максимальная  скорость  рыбы  в  2  раза  больше  этого  числа.
-  //See - радиус  обзора - как  далеко  видит  рыба.
-  
-                              //c,        CanRazm, MaxKol, MaxLife, MinFood, Speed,   See
-  opisanie[3]:= fishtype.create(clYellow, 300,     15,     1500,    -1,      0.99,    50);
-  opisanie[2]:= fishtype.create(clGreen,  150,     50,     1500,    -1,      0.9,     50);
-  opisanie[1]:= fishtype.create(clBlue,   30,      50,     500,     -1,      0.7,     35);
-  opisanie[0]:= fishtype.create(clRed,    1000,    40,     5000,     1,       1,     500);
-  SetPenColor(clWhite);
-  rectangle(round(xmin - rmax - 1), round(ymin - rmax - 1),
-            round(xmax + rmax + 1), round(ymax + rmax + 1));
-  //Теперь нужно построить первоначальный список
-  q:= fish.create(xmin + 10, ymax - 10, rmax, 0, nil, nil);
-  p:= fish.create(xmin + 10, ymin + 10, rmax, 1, q, q);
-  q.next:= p; q.prev:= p;
-  StartAkula:= q; KonAkula:= q;
-  StartKilka:= p; KonKilka:= p;
-  p:= fish.create(xmax - 10, ymin + 10, rmax, 2, KonKilka, StartAkula);
-  StartAkula.prev:= p;
-  KonKilka.next:= p; KonKilka:= p;
-  p:= fish.create(xmax - 10, ymax - 10, rmax, 3, KonKilka, StartAkula);
-  StartAkula.prev:= p;
-  KonKilka.next:= p; KonKilka:= p;
-  for i:= 0 to types do opisanie[i].ShowKol(i*40 + 20);
-  //И все ходят по очереди, пока хоть кто-то жив.
-  tek:= StartKilka;
-  //i:=0;c:=getallcount;LockDrawing;
-  repeat
-   tek:= tek.next;
-   tek.step(tek, StartAkula, KonAkula, StartKilka, KonKilka);
-   {i:=i+1;
-   if i>=c then begin
-     i:=0;c:=getallcount;
-     Redraw;
-   end;}
-  until (tek = nil);
-
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/BookWorm/BookWormABCNET.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/BookWorm/BookWormABCNET.pas
deleted file mode 100644
index 0ab555846..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/BookWorm/BookWormABCNET.pas
+++ /dev/null
@@ -1,226 +0,0 @@
-uses GraphABC,ABCObjects,ABCButtons,Events;
-
-const 
-/// Примерная частота повторяемости букв
-  freqcharstr='аааааааааааааааааааааааааабббббввввввввггггдддддддееееееееееееееееееееежжззззииииииииииииииииииийккккккккккккккклллллллллллммммммнннннннннннннннннооооооооооооооооооооооооппппппппрррррррррррррррррссссссссссссстттттттттттттттууууууффххцццчччшшщыыьььььэюяяяя';
-
-const
-  MaxWordLen = 12;
-  scorehits: array [1..MaxWordLen] of integer = (0,1,2,4,7,11,16,22,29,37,46,56);
-
-type 
-  MySquareABC = class(SquareABC) end;
-
-var
-/// Доска с буквами
-  MainBoard: ObjectBoardABC;
-/// Доска высоты 1 для размещения слова
-  WordBoard: ObjectBoardABC;
-/// Номер первого незанятого символа на доске WordBoard
-  cur: integer;
-/// Количество ходов
-  moves: integer;
-/// Очки
-  score: integer;
-/// Прямоугольник для отображения информации
-  Status: RectangleABC;
-
-/// Существует ли такое слово (все слова хранятся в файле words.txt)
-function WordExists(s: string): boolean;
-var
-  f: text;
-  str: string;
-begin
-  s := LowerCase(s);
-  Result := False;
-  assign(f,'words.txt');
-  reset(f);
-  while not eof(f) do
-  begin
-    readln(f,str);
-    if s=str then
-    begin
-      Result := True;
-      break;
-    end;
-  end;
-  close(f);
-end;
-
-procedure MyMouseDown(x,y,mb: integer);
-begin
-// Нажата левая мышь
-  if mb=1 then
-  begin
-    if cur>WordBoard.DimX then
-      exit;
-    var ob := ObjectUnderPoint(x,y);
-    if (ob is MySquareABC) and ob.Visible then
-    begin
-      var ob1 := WordBoard[cur,1];
-      ob1.Visible := True;
-      ob1.Text := ob.Text;
-      Inc(cur);
-      ob.Visible := False;
-      var s := '';
-      for var i:=1 to cur-1 do
-        s := s + WordBoard[i,1].Text;
-      if WordExists(s) then
-        WordBoard.Color := clYellow
-      else WordBoard.Color := clSkyBlue
-    end;
-  end
-  else
-// Нажата правая мышь
-  begin
-    for var xx:=1 to cur-1 do
-      WordBoard[xx,1].Visible := False;
-    for var xx:=1 to MainBoard.DimX do
-    for var yy:=1 to MainBoard.DimY do
-      MainBoard[xx,yy].Visible:=True;
-    cur := 1;
-    WordBoard.Color := clSkyBlue
-  end;
-end;
-
-/// Обработчик кнопки "Новая игра"
-procedure BtNewClick;
-begin
-  score := 0;
-  moves := 0;
-  Status.Text := 'Ходов: '+IntToStr(moves)+'   Очков: '+IntToStr(score);
-  MyMouseDown(1,1,2);
-  for var xx:=1 to MainBoard.DimX do
-  for var yy:=1 to MainBoard.DimY do
-    MainBoard[xx,yy].Text := UpCase(freqcharstr[Random(255)+1]);
-end;
-
-/// Обработчик кнопки "Сказать слово"
-procedure BtWordClick;
-begin
-  if WordBoard.Color<>clYellow then
-    exit;
-  Inc(score,scorehits[cur-1]);
-  Inc(moves);
-  for var xx:=1 to cur-1 do
-    WordBoard[xx,1].Visible:=False;
-  for var xx:=1 to MainBoard.DimX do
-  for var yy:=1 to MainBoard.DimY do
-    if not MainBoard[xx,yy].Visible then
-    begin
-      MainBoard[xx,yy].Visible:=True;
-      MainBoard[xx,yy].Text:=UpCase(freqcharstr[Random(255)+1]);
-    end;
-  cur := 1;
-  WordBoard.Color := clSkyBlue;
-  Status.Text := 'Ходов: '+IntToStr(moves)+'   Очков: '+IntToStr(score);
-end;
-
-/// Обработчик кнопки "Подсказка"
-procedure BtPleaseClick;
-var
-  f: text;
-  str,maxstr: string;
-  arr,work: array ['а'..'я'] of integer;
-  maxlen: integer;
-
-  function CanConstructWord(s: string): boolean;
-  begin
-    work := arr;
-    Result := True;
-    for var i:=1 to Length(s) do
-    begin
-      Dec(work[s[i]]);
-      if work[s[i]]<0 then
-      begin
-        Result := False;
-        break;
-      end;
-    end;
-  end;
-
-begin // BtPleaseClick
-  maxlen := 0;
-  maxstr := '';
-  for var c:='а' to 'я' do
-    arr[c]:=0;
-
-  for var xx:=1 to MainBoard.DimX do
-  for var yy:=1 to MainBoard.DimY do
-    Inc(arr[LowCase(MainBoard[xx,yy].Text[1])]);
-
-  assign(f,'words.txt');
-  reset(f);
-  while not eof(f) do
-  begin
-    readln(f,str);
-    if CanConstructWord(str) and (Length(str)>maxlen) and (Length(str)<=MaxWordLen) then
-    begin
-      maxlen := Length(str);
-      maxstr := str;
-    end;
-  end;
-  close(f);
-  
-  writeln(maxstr);
-end;
-
-procedure InitWindow;
-begin
-  SetWindowSize(640,480);
-  Window.IsFixedSize := True;
-  Window.Title := 'Знай русские слова!';
-  Brush.Color := clMoneyGreen;
-  FillRect(0,0,WindowWidth,WindowHeight);
-end;
-
-procedure InitGameVars;
-begin
-  cur := 1;
-  moves := 0;
-  score := 0;
-end;
-
-procedure InitButtons;
-begin
-  var btword := new ButtonABC(70,410,180,30,'Сказать слово',clGray);
-  var btnew := new ButtonABC(280,410,100,30,'Заново',clLightGray);
-  var btplease := new ButtonABC(410,410,160,30,'Подсказка',clGray);
-  
-// Привязка обработчиков к кнопкам
-  btword.OnClick := BtWordClick;
-  btnew.OnClick := BtNewClick;
-  btplease.OnClick := BtPleaseClick;
-end;
-
-
-procedure InitInterface;
-begin
-  Status := new RectangleABC(70,350,500,30,clSkyBlue);
-  Status.Text := 'Ходов: 0   Очков: 0';
-  WordBoard := new ObjectBoardABC(20,40,MaxWordLen,1,50,50,clSkyBlue);
-  MainBoard := new ObjectBoardABC(220,120,4,4,50,50,clMoneyGreen);
-  MainBoard.BorderColor := clGreen;
-  //MainBoard.Bordered := False;
-
-  for var x:=1 to WordBoard.DimX do
-  begin
-    WordBoard[x,1] := new SquareABC(0,0,WordBoard.CellSizeX-6,clWhite);
-    WordBoard[x,1].Visible := False;
-  end;
-  for var x:=1 to MainBoard.DimX do
-  for var y:=1 to MainBoard.DimY do
-  begin
-    MainBoard[x,y] := new MySquareABC(0,0,MainBoard.CellSizeX-6,clWhite);
-    MainBoard[x,y].Text := UpCase(freqcharstr[Random(freqcharstr.Length)+1]);
-  end;
-end;
-
-begin
-  InitWindow;
-  InitGameVars;
-  InitInterface;
-  InitButtons;
-
-  OnMouseDown := MyMouseDown;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/BookWorm/words.txt b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/BookWorm/words.txt
deleted file mode 100644
index 1f8de268b..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/BookWorm/words.txt
+++ /dev/null
@@ -1,14842 +0,0 @@
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diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/DeleteByMouse.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/DeleteByMouse.pas
deleted file mode 100644
index 77203faa2..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/DeleteByMouse.pas
+++ /dev/null
@@ -1,56 +0,0 @@
-uses ABCObjects,GraphABC;
-
-const CountSquares = 20;
-
-var
-  /// Текущая цифра
-  CurrentDigit: integer;
-  /// Количество ошибок
-  Mistakes: integer;
-  /// Строка информации
-  StatusRect: RectangleABC;
-
-/// Вывод информационной строки
-procedure DrawStatusText;
-begin
-  if CurrentDigit<=CountSquares then
-    StatusRect.Text := 'Удалено квадратов: ' + IntToStr(CurrentDigit-1) + '    Ошибок: ' + IntToStr(Mistakes)
-  else StatusRect.Text := 'Игра окончена. Время: ' + IntToStr(Milliseconds div 1000) + ' с.    Ошибок: ' + IntToStr(Mistakes);
-end;
-
-/// Обработчик события мыши
-procedure MyMouseDown(x,y,mb: integer);
-begin
-  var ob := ObjectUnderPoint(x,y);
-  if (ob<>nil) and (ob is RectangleABC) then
-    if ob.Number=CurrentDigit then
-    begin
-      ob.Destroy;
-      Inc(CurrentDigit);
-      DrawStatusText;
-    end
-    else
-    begin
-      ob.Color := clRed;
-      Inc(Mistakes);
-      DrawStatusText;
-    end;
-end;
-
-begin
-  Window.Title := 'Игра: удали все квадраты по порядку';
-  Window.IsFixedSize := True;
-  for var i:=1 to CountSquares do
-  begin
-    var x := Random(WindowWidth-50);
-    var y := Random(WindowHeight-100);
-    var ob := RectangleABC.Create(x,y,50,50,clMoneyGreen);
-    ob.Number := i;
-  end;
-  StatusRect := RectangleABC.Create(0,Window.Height-40,Window.Width,40,Color.LightSteelBlue);
-  CurrentDigit := 1;
-  Mistakes := 0;
-  DrawStatusText;
-  // Установка обработчиков 
-  OnMouseDown := MyMouseDown;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/KillThem.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/KillThem.pas
deleted file mode 100644
index 0ed3a4842..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/KillThem.pas
+++ /dev/null
@@ -1,238 +0,0 @@
-uses ABCObjects,GraphABC,Timers;
-
-const 
-  clPlayer = Color.BurlyWood;
-
-var
-  kLeftKey,kRightKey: boolean;
-  kSpaceKey: integer;
-  /// Игрок
-  Player: RectangleABC;
-  /// Таймер движения врагов
-  t: Timer;
-  /// Флаг конца игры
-  EndOfGame: boolean;
-  /// Количество неигровых объектов
-  StaticObjectsCount: integer;
-  /// Счетчик выигрышей
-  Wins: integer;
-  /// Счетчик проигрышей
-  Falls: integer;
-  /// Информационная строка
-  InfoString: RectangleABC;
-  /// Сообщение в начале игры
-  NewGame: RoundRectABC;
-
-type
-  KeysType = (kLeft,kRight);
-  
-  /// Класс пули
-  Pulya = class(CircleABC)
-  public
-    constructor Create(x,y: integer);
-    procedure Move; override;
-  end;
-  
-  /// Класс врага
-  Enemy = class(RectangleABC)
-  public
-    constructor Create(x,y,w: integer);
-    procedure Move; override;
-  end;
-
-constructor Pulya.Create(x,y: integer);
-begin
-  inherited Create(x,y,5,clRed);
-  dx := 0; 
-  dy := -5;
-end;
-
-procedure Pulya.Move; 
-begin
-  inherited Move; 
-  if Top<0 then
-    Visible := False;
-  for var j:=StaticObjectsCount to Objects.Count-1 do
-    // При столкновении пуля и объект становятся невидимыми
-    if (Objects[j]<>Self) and Intersect(Objects[j]) then
-    begin
-      Objects[j].Visible := False;
-      Visible := False;
-    end;
-end;
-
-constructor Enemy.Create(x,y,w: integer);
-begin
-  inherited Create(x,y,w,20,clRandom);
-  if Random(2)=0 then
-    dx := 5
-  else dx := -5;
-  dy := 0;
-end;
-
-procedure Enemy.Move; 
-begin
-  if Random(2)<>0 then 
-    Exit;
-  if Random(10)=0 then 
-    dy := 5;
-  if (Left<0) or (Left+Width>Window.Width) or (Random(30)=0) then
-    dx := -dx;
-  inherited Move;
-  if dy<>0 then 
-    dy := 0;
-  if Top>Window.Height-50 then
-    EndOfGame := True;
-end;
-
-/// Количество врагов
-function NumberOfEnemies: integer;
-begin
-  Result := 0;
-  for var i:=0 to Objects.Count-1 do
-    if Objects[i] is Enemy then
-      Result += 1;
-end;
-
-/// Создание игрока и врагов
-procedure CreateObjects;
-begin
-  Player := new RectangleABC(280,WindowHeight-30,100,20,clPlayer);
-  for var i:=1 to 100 do
-  begin
-    var r1 := new Enemy(Random(WindowWidth-50),40+Random(10),50);
-    r1.TextVisible := True;
-    r1.Number := i;
-  end;
-end;
-
-/// Разрушение игрока и врагов
-procedure DestroyObjects;
-begin
-  for var i:=Objects.Count-1 downto StaticObjectsCount do
-    Objects[i].Destroy;
-end;
-
-/// Перемещение врагов
-procedure MoveObjects;
-begin
-  for var i:=StaticObjectsCount+1 to Objects.Count-1 do
-    Objects[i].Move;
-end;
-
-/// Удаление уничтоженных объектов
-procedure DestroyKilledObjects;
-begin
-  for var i:=ObjectsCount-1 downto StaticObjectsCount+1 do
-    if not Objects[i].Visible then
-      Objects[i].Destroy;
-end;
-
-/// Обработчик нажатия клавиши
-procedure KeyDown(Key: integer);
-begin
-  case Key of
-vk_Left:  kLeftKey := True;
-vk_Right: kRightKey := True;
-vk_Space: if kSpaceKey=2 then kSpaceKey := 1;
-  end;
-end;
-
-/// Обработчик отжатия клавиши
-procedure KeyUp(Key: integer);
-begin
-  case Key of
-vk_Left:  kLeftKey := False;
-vk_Right: kRightKey := False;
-vk_Space: kSpaceKey := 2;
-  end;
-end;
-
-/// Изменение информационной строки
-procedure ChangeInfoString;
-begin
-  InfoString.Text := 'Врагов: '+IntToStr(NumberOfEnemies)+'      Побед: '+IntToStr(Wins)+'      Поражений: '+IntToStr(Falls);
-end;
-
-/// Обработчик нажатия символьной клавиши
-procedure KeyPress(Key: char);
-begin
-  if (Key in ['G','П','g','п']) and EndOfGame then
-  begin
-    NewGame.Visible := False;
-    EndOfGame := False;
-    t.Start;
-    CreateObjects;
-    kSpaceKey := 2;
-    kLeftKey := False;
-    kRightKey := False;
-  end;
-end;
-
-/// Обработчик отжатия мыши
-procedure MouseUp(x,y,mb: integer);
-begin
-  if NewGame.PTInside(x,y) then
-    KeyPress('G');
-end;
-
-/// Обработчик таймера
-procedure TimerProc;
-begin
-  if kLeftKey and (Player.Left>0) then
-    Player.MoveOn(-10,0);
-  if kRightKey and (Player.Left+Player.Width<WindowWidth) then
-    Player.MoveOn(10,0);
-  if kSpaceKey=1 then
-  begin
-    new Pulya(Player.Left+Player.Width div 2,Player.Top-10);
-    kSpaceKey := 0;
-  end;
-  MoveObjects;
-  DestroyKilledObjects;
-  RedrawObjects;
-  ChangeInfoString;
-  var n := NumberOfEnemies;
-  // Страховка от случая, когда процедура таймера выполняется одновременно в нескольких потоках
-  if n=0 then
-    EndOfGame := True;
-  if EndOfGame then
-  begin
-    if t.Enabled=False then Exit;  
-    t.Stop;
-    if n>0 then
-      Falls += 1
-    else Wins += 1;
-    NewGame.Visible := True;
-    DestroyObjects;
-    ChangeInfoString;
-    RedrawObjects;
-  end;
-end;
-
-begin
-  Window.Title := 'Стрелялка';
-  Window.IsFixedSize := True;
-  ClearWindow(clBlack);
-  LockDrawingObjects;
-  EndOfGame := True;
-  InfoString := new RectangleABC(0,0,Window.Width,38,Color.DarkBlue);
-  InfoString.Bordered := False;
-  InfoString.FontColor := clWhite;
-  InfoString.TextScale := 0.9;
-  
-  var zz := 100;
-  NewGame := new RoundRectABC(zz,200,400,200,30,Color.Violet);
-  NewGame.Center := Window.Center;
-  NewGame.Text := 'G - Новая игра';
-  StaticObjectsCount := Objects.Count;
-  ChangeInfoString;
-  RedrawObjects;
-
-  OnKeyDown := KeyDown;
-  OnKeyPress := KeyPress;
-  OnKeyUp := KeyUp;
-  OnMouseUp := MouseUp;
-
-  t := new Timer(1,TimerProc);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Life.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Life.pas
deleted file mode 100644
index 87956714a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Life.pas
+++ /dev/null
@@ -1,318 +0,0 @@
-// Игра "Жизнь" на торе
-// Оптимизация хешированием по равномерной сетке
-uses Utils,GraphABC;
-
-const 
-/// Ширина клетки
-  w = 4;
-/// Количество клеток по ширине
-  m = 300;
-/// Количество клеток по высоте
-  n = 220;
-/// Отступ поля от левой границы окна
-  x0 = 1;
-/// Отступ поля от верхней границы окна
-  y0 = 21;
-  mm = m + 1;
-  nn = n + 1;
-/// Количество клеток сетки по горизонтали
-  mk = 15;
-/// Количество клеток сетки по вертикали
-  nk = 10;
-
-var
-  a,b,sosedia,sosedib: array [0..nn,0..mm] of byte;
-  obnovA,obnovB: array [1..nk,1..mk] of boolean;
-  CountCells: integer;
-  obn: boolean;
-  gen: integer;
-  hn,hm: integer;
-
-/// Нарисовать ячейку
-procedure DrawCell(i,j: integer);
-begin
-  DrawInBuffer := False;
-  SetBrushColor(clBlack);
-  FillRectangle(x0+(j-1)*w,y0+(i-1)*w,x0+j*w-1,y0+i*w-1);
-  DrawInBuffer := True;
-end;
-
-/// Стереть ячейку
-procedure ClearCell(i,j: integer);
-begin
-  DrawInBuffer := False;
-  SetBrushColor(clWhite);
-  FillRectangle(x0+(j-1)*w,y0+(i-1)*w,x0+j*w-1,y0+i*w-1);
-  DrawInBuffer := True;
-end;
-
-/// Нарисовать все изменившиеся ячейки
-procedure DrawConfiguration;
-begin
-  for var i:=1 to n do
-  for var j:=1 to m do
-  begin
-    var bb := b[i,j];
-    if a[i,j]<>bb then
-      if bb=1 then DrawCell(i,j)
-        else ClearCell(i,j);
-  end;
-end;
-
-/// Нарисовать все ячейки
-procedure DrawConfigurationFull;
-begin
-  for var i:=1 to n do
-  for var j:=1 to m do
-    if b[i,j]=1 then DrawCell(i,j)
-      else ClearCell(i,j);
-end;
-
-/// Нарисовать поле
-procedure DrawField;
-begin
-  Pen.Color := clLightGray;
-  for var i:=0 to m do
-  begin
-    if i mod hm = 0 then
-      Pen.Color := clGray
-    else Pen.Color := clLightGray;
-    Line(x0+i*w-1,y0,x0+i*w-1,y0+n*w);
-  end;
-  for var i:=0 to n do
-  begin
-    if i mod hn = 0 then
-      Pen.Color := clGray
-    else Pen.Color := clLightGray;
-    Line(x0,y0+i*w-1,x0+m*w,y0+i*w-1);
-  end;
-end;
-
-/// Увеличить массив соседей для данной клетки
-procedure IncSosedi(i,j: integer);
-var i1,i2,j1,j2: integer;
-begin
-  if i=1 then i1:=n else i1:=i-1;
-  if i=n then i2:=1 else i2:=i+1;
-  if j=1 then j1:=m else j1:=j-1;
-  if j=m then j2:=1 else j2:=j+1;
-  SosediB[i1,j1] += 1;
-  SosediB[i1,j]  += 1;
-  SosediB[i1,j2] += 1;
-  SosediB[i,j1]  += 1;
-  SosediB[i,j2]  += 1;
-  SosediB[i2,j1] += 1;
-  SosediB[i2,j]  += 1;
-  SosediB[i2,j2] += 1;
-end;
-
-/// Уменьшить массив соседей для данной клетки
-procedure DecSosedi(i,j: integer);
-var i1,i2,j1,j2: integer;
-begin
-  if i=1 then i1:=n else i1:=i-1;
-  if i=n then i2:=1 else i2:=i+1;
-  if j=1 then j1:=m else j1:=j-1;
-  if j=m then j2:=1 else j2:=j+1;
-  SosediB[i1,j1] -= 1;
-  SosediB[i1,j]  -= 1;
-  SosediB[i1,j2] -= 1;
-  SosediB[i,j1]  -= 1;
-  SosediB[i,j2]  -= 1;
-  SosediB[i2,j1] -= 1;
-  SosediB[i2,j]  -= 1;
-  SosediB[i2,j2] -= 1;
-end;
-
-/// Поставить ячейку в клетку (i,j)
-procedure SetCell(i,j: integer);
-begin
-  if b[i,j]=0 then
-  begin
-    b[i,j] := 1;
-    obn := True;
-    IncSosedi(i,j);
-  end;
-  CountCells += 1;
-end;
-
-/// Убрать ячейку из клетки (i,j)
-procedure UnSetCell(i,j: integer);
-begin
-  if b[i,j]=1 then
-  begin
-    b[i,j] := 0;
-    obn := True;
-    DecSosedi(i,j);
-  end;
-  CountCells -= 1;
-end;
-
-/// Инициализировать массивы и конфигурацию поля
-procedure Init;
-var 
-  xc := n div 2;
-  yc := m div 2;
-begin
-  for var i:=0 to n+1 do
-  for var j:=0 to m+1 do
-    b[i,j] := 0;
-  a := b;
-  SosediB := b;
-  SosediA := SosediB;
-  for var ik:=1 to nk do
-  for var jk:=1 to mk do
-    obnovB[ik,jk] := True;
-  obnovA := obnovB;
-  CountCells := 0;
-
-  SetCell(xc,yc);
-  SetCell(xc,yc+1);
-  SetCell(xc,yc+2);
-  SetCell(xc-1,yc+2);
-  SetCell(xc+1,yc+1);
-end;
-
-/// Обработать ячейку
-procedure ProcessCell(i,j: integer);
-begin
-  case SosediA[i,j] of
-0..1,4..9:
-    if b[i,j]=1 then
-    begin
-      b[i,j] := 0;
-      obn := True;
-      DecSosedi(i,j);
-      ClearCell(i,j);
-      Dec(CountCells);
-    end;
-3: if b[i,j]=0 then
-    begin
-      b[i,j] := 1;
-      obn := True;
-      IncSosedi(i,j);
-      DrawCell(i,j);
-      Inc(CountCells);
-    end;
-  end; {case}
-end;
-
-/// Перейти к следующему поколению
-procedure NextGen;
-var ifirst,jfirst,ilast,jlast: integer;
-begin
-  for var ik:=1 to nk do
-  begin
-    for var jk:=1 to mk do
-    begin
-      obn := False;
-      ifirst := (ik-1)*hn+1;
-      ilast := (ik-1)*hn+hn;
-      jfirst := (jk-1)*hm+1;
-      jlast := (jk-1)*hm+hm;
-      if obnovA[ik,jk] then
-      begin
-        for var i:=ifirst to ilast do
-        for var j:=jfirst to jlast do
-          ProcessCell(i,j);
-      end
-      else
-      begin
-        var ik1,jk1,ik2,jk2: integer;
-        if ik=1 then ik1:=nk else ik1:=ik-1;
-        if ik=nk then ik2:=1 else ik2:=ik+1;
-        if jk=1 then jk1:=mk else jk1:=jk-1;
-        if jk=mk then jk2:=1 else jk2:=jk+1;
-        var l := obnovA[ik,jk1];
-        var r := obnovA[ik,jk2];
-        var u := obnovA[ik1,jk];
-        var d := obnovA[ik2,jk];
-        var lu := obnovA[ik1,jk1];
-        var ld := obnovA[ik2,jk1];
-        var ru := obnovA[ik1,jk2];
-        var rd := obnovA[ik2,jk2];
-        if u then
-          for var j:=jfirst+1 to jlast-1 do
-            ProcessCell(ifirst,j);
-        if d then
-          for var j:=jfirst+1 to jlast-1 do
-            ProcessCell(ilast,j);
-        if l then
-          for var i:=ifirst+1 to ilast-1 do
-            ProcessCell(i,jfirst);
-        if r then
-          for var i:=ifirst+1 to ilast-1 do
-            ProcessCell(i,jlast);
-        if u or l or lu then
-          ProcessCell(ifirst,jfirst);
-        if u or r or ru then
-          ProcessCell(ifirst,jlast);
-        if d or l or ld then
-          ProcessCell(ilast,jfirst);
-        if d or r or rd then
-          ProcessCell(ilast,jlast);
-      end;
-      obnovB[ik,jk] := obn;
-    end;
-  end;
-end;
-
-/// Перерисовка содержимого окна
-procedure LifeRedrawProc;
-begin
-  Redraw;
-  DrawConfigurationFull;
-end;
-
-/// Вывод номера поколения и количества ячеек
-procedure DrawInfo;
-begin
-  Brush.Color := clWhite;
-  TextOut(25,0,'Поколение '+IntToStr(gen));
-  TextOut(WindowWidth - 130,0,'Жителей: '+IntToStr(CountCells)+'    ');
-end;
-
-begin
-  if (m mod mk<>0) or (n mod nk<>0) then
-  begin
-    writeln('Размер кластера не согласован с размером поля. Программа завершена');
-    exit
-  end;
-  hm := m div mk;
-  hn := n div nk;
-  SetWindowSize(x0+m*w,y0+n*w);
-  CenterWindow;
-  Window.Title := 'Игра "Жизнь"';
-  Window.IsFixedSize := True;
-  Font.Name := 'Arial';
-  Font.Size := 10;
-  Init;
-  
-  LockDrawing;
-  DrawInfo;
-  DrawField;
-  DrawConfiguration;
-  UnLockDrawing;
-  
-  var mil := Milliseconds;
-  gen := 0;
-  RedrawProc := LifeRedrawProc;
-  while True do
-  begin
-    gen += 1;
-    
-    if gen mod 11 = 0 then
-      DrawInfo;
-
-    SosediA := SosediB;
-    obnovA := obnovB;
-    NextGen;
-    
-    if gen mod 1000 = 0 then
-    begin
-      var mil1 := Milliseconds;
-      writeln(gen,'  ',(mil1-mil)/1000);
-      mil := mil1;
-    end;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Matches.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Matches.pas
deleted file mode 100644
index 0ea31f7ed..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/Matches.pas
+++ /dev/null
@@ -1,45 +0,0 @@
-// Игра "Спички"
-const InitialCount=15;
-
-var
-  /// Текущее количество спичек
-  Count: integer;
-  /// Количество спичек, которое берет игрок
-  Num: integer;
-  /// Номер текущего игрока
-  Player: integer;
-
-begin
-  Player := 1;
-  Count := InitialCount;
-  
-  repeat
-    if Player=1 then
-    begin
-      var Correct: boolean;
-      repeat
-        write('Ваш ход. На столе ',Count,' спичек. ');
-        write('Сколько спичек Вы берете? ');
-        readln(Num);
-        Correct := (Num>=1) and (Num<=3) and (Num<=Count);
-        if not Correct then
-          writeln('Неверно! Повторите ввод!');
-      until Correct;
-    end
-    else
-    begin
-      Num := Random(1,3);
-      if Num>Count then 
-        Num := Count;
-      writeln('Мой ход. Я взял ',Num,' спичек');
-    end;
-    Count -= Num;
-    if Player=1 then 
-      Player := 2
-    else Player := 1;
-  until Count=0;
-  
-  if Player=1 then
-    writeln('Вы победили!')
-  else writeln('Вы проиграли!');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/NewLife.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/NewLife.pas
deleted file mode 100644
index acb6036b1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/Games/NewLife.pas
+++ /dev/null
@@ -1,347 +0,0 @@
-// Игра Жизнь на торе
-// Оптимизация хешированием по равномерной сетке
-
-
-uses Utils,GraphABC;
-
-const 
-  w =3;
-  w1=1;
-  k=20;
-  m=300;
-  n=220;
-  graphW=0;
-  mk=m div k;//15;
-  nk=n div k;//10;
-  mm=m+1;
-  nn=n+1;
-  x0=1;
-  y0=21;
-  ClearColor=clBlack;
-  FillColor=clLimeGreen;
-  FiledColor=RGB(0,40,0);
-  FiledColor2=RGB(0,70,0);{}
-  {ClearColor=clWhite;
-  FillColor=clBlack;
-  FiledColor=clLightGray;
-  FiledColor2=clGray;{}
-  
-
-var
-  //a,b,sosedia,sosedib: array [0..nn,0..mm] of byte;
-  a,b,sosedia,sosedib:array of array of byte;
-  //obnovA,obnovB: array [1..nk,1..mk] of boolean;
-  obnovA,obnovB: array of array of boolean;
-  count: integer;
-  obn: boolean;
-  mil,mil1: integer;
-  hn,hm: integer;
-
-procedure AssignArray(var arr:array of array of boolean; n,m:integer);
-begin
-  SetLength(arr,n);
-  for var i:=0 to n-1 do
-    SetLength(arr[i],m);
-end;
-procedure AssignArray(var arr:array of array of byte; n,m:integer);
-begin
-  SetLength(arr,n);
-  for var i:=0 to n-1 do
-    SetLength(arr[i],m);
-end;
-procedure CopyArray(arr1,arr2:array of array of byte);
-begin
-  for var i:=0 to arr1.Length-1 do 
-    arr1[i].CopyTo(arr2[i],0);
-end;
-procedure CopyArray(arr1,arr2:array of array of boolean);
-begin
-  for var i:=0 to arr1.Length-1 do 
-    arr1[i].CopyTo(arr2[i],0);
-end;
-
-procedure DrawCell(i,j: integer);
-begin
-  if BrushColor<>FillColor then begin
-    SetBrushColor(FillColor);
-    SetPenColor(FillColor);
-  end;
-  FillRect(x0+(j-1)*w,y0+(i-1)*w,x0+j*w-w1,y0+i*w-w1);
-end;
-
-
-procedure ClearCell(i,j: integer);
-begin
-  if BrushColor<>clearColor then begin
-    SetBrushColor(clearColor);
-    SetPenColor(clearColor);
-  end;
-  FillRect(x0+(j-1)*w,y0+(i-1)*w,x0+j*w-w1,y0+i*w-w1);
-end;
-
-procedure DrawConfiguration;
-begin
-  for var i:=1 to n do
-    for var j:=1 to m do
-      if a[i,j]=1 then
-        DrawCell(i,j)
-end;
-
-procedure DrawField;
-begin
-  SetBrushColor(ClearColor);
-  FillRectangle(x0,y0,x0+m*w,y0+n*w);
-  SetPenColor(FiledColor);
-  for var i:=0 to m do
-    Line(x0+i*w-1,y0,x0+i*w-1,y0+n*w);
-  for var i:=0 to n do
-    Line(x0,y0+i*w-1,x0+m*w,y0+i*w-1);
-  SetPenColor(FiledColor2);
-  for var i:=0 to m div hm do
-    Line(x0+i*w*hm-1,y0,x0+i*w*hm-1,y0+n*w);
-  for var i:=0 to n div hn do
-    Line(x0,y0+i*w*hn-1,x0+m*w,y0+i*w*hn-1);   
-end;
-
-procedure IncSosedi(i,j: integer);
-begin
-  var i1 := i=1 ? n : i-1;
-  var i2 := i=n ? 1 : i+1;
-  var j1 := j=1 ? m : j-1;
-  var j2 := j=m ? 1 : j+1;
-  SosediB[i1,j1] += 1;
-  SosediB[i1,j]  += 1;
-  SosediB[i1,j2] += 1;
-  SosediB[i,j1]  += 1;
-  SosediB[i,j2]  += 1;
-  SosediB[i2,j1] += 1;
-  SosediB[i2,j]  += 1;
-  SosediB[i2,j2] += 1;
-end;
-
-procedure DecSosedi(i,j: integer);
-begin
-  var i1 := i=1 ? n : i-1;
-  var i2 := i=n ? 1 : i+1;
-  var j1 := j=1 ? m : j-1;
-  var j2 := j=m ? 1 : j+1;
-  SosediB[i1,j1] -= 1;
-  SosediB[i1,j]  -= 1;
-  SosediB[i1,j2] -= 1;
-  SosediB[i,j1]  -= 1;
-  SosediB[i,j2]  -= 1;
-  SosediB[i2,j1] -= 1;
-  SosediB[i2,j]  -= 1;
-  SosediB[i2,j2] -= 1;
-end;
-
-procedure SetCell(i,j: integer);
-begin
-  if b[i,j]=0 then
-  begin
-    b[i,j]:=1;
-    obn:=true;
-    IncSosedi(i,j);
-  end;
-  count += 1;
-end;
-
-procedure UnSetCell(i,j: integer);
-begin
-  if b[i,j]=1 then
-  begin
-    b[i,j]:=0;
-    obn:=true;
-    DecSosedi(i,j);
-  end;
-  count -= 1;
-end;
-
-type
-  ColonyType = (Big, LD, RD, LU, RU);
-procedure AddColonyType(xc,yc:integer; ctype:ColonyType);
-begin
- case ctype of
-    ColonyType.Big:begin
-      SetCell(xc,yc);
-      SetCell(xc,yc+1);
-      SetCell(xc,yc+2);
-      SetCell(xc-1,yc+2);
-      SetCell(xc+1,yc+1);
-    end;
-    ColonyType.LD:begin
-      SetCell(xc,yc-1);
-      SetCell(xc,yc);
-      SetCell(xc,yc+1);
-      SetCell(xc-1,yc-1);
-      SetCell(xc-2,yc);      
-    end;
-  end;
-  //SosediA:=SosediB;
-  CopyArray(sosedib,sosedia);
-  for var ik:=1 to nk do
-    for var jk:=1 to mk do
-      obnovB[ik,jk]:=true;
-  //obnovA:=obnovB;
-  CopyArray(obnovB,obnovA);
-end;
-
-procedure Init;
-begin
-  Count:=0;
-  AddColonyType(n div 2,m div 2, ColonyType.Big);
-end;
-
-procedure OnlyCase(i,j: integer);
-begin
- case SosediA[i,j] of
-0..1,4..9:
-    if b[i,j]=1 then
-    begin
-      b[i,j]:=0;
-      obn:=true;
-      DecSosedi(i,j);
-      ClearCell(i,j);
-      count -= 1;
-    end;
-3: if b[i,j]=0 then
-    begin
-      b[i,j]:=1;
-      obn:=true;
-      IncSosedi(i,j);
-      DrawCell(i,j);
-      count += 1;
-    end;
-  end;
-end;
-
-procedure NextGen;
-var
-  i,j,ik1,jk1,ik2,jk2,ifirst,jfirst,ilast,jlast: integer;
-  l,r,u,d,lu,ld,ru,rd: boolean;
-begin
-    for var ik:=1 to nk do
-    begin
-      for var jk:=1 to mk do
-      begin
-        obn := false;
-        ifirst := (ik-1)*hn+1;
-        ilast  := ik*hn;
-        jfirst := (jk-1)*hm+1;
-        jlast  := jk*hm;
-        if obnovA[ik,jk] then
-        begin
-          for i:=ifirst to ilast do
-            for j:=jfirst to jlast do
-              OnlyCase(i,j);
-        end
-        else
-        begin
-          ik1 := ik=1 ? nk : ik-1;
-          ik2 := ik=nk ? 1 : ik+1;
-          jk1 := jk=1 ? mk : jk-1;
-          jk2 := jk=mk ? 1 : jk+1;
-          l:=obnovA[ik,jk1];
-          r:=obnovA[ik,jk2];
-          u:=obnovA[ik1,jk];
-          d:=obnovA[ik2,jk];
-          lu:=obnovA[ik1,jk1];
-          ld:=obnovA[ik2,jk1];
-          ru:=obnovA[ik1,jk2];
-          rd:=obnovA[ik2,jk2];
-          if u then
-          begin
-            i:=ifirst;
-            for j:=jfirst+1 to jlast-1 do
-              OnlyCase(i,j);
-          end;
-          if d then
-          begin
-            i:=ilast;
-            for j:=jfirst+1 to jlast-1 do
-              OnlyCase(i,j);
-          end;
-          if l then
-          begin
-            j:=jfirst;
-            for i:=ifirst+1 to ilast-1 do
-              OnlyCase(i,j);
-          end;
-          if r then
-          begin
-            j:=jlast;
-            for i:=ifirst+1 to ilast-1 do
-              OnlyCase(i,j);
-          end;
-          if u or l or lu then
-            OnlyCase(ifirst,jfirst);
-          if u or r or ru then
-            OnlyCase(ifirst,jlast);
-          if d or l or ld then
-            OnlyCase(ilast,jfirst);
-          if d or r or rd then
-            OnlyCase(ilast,jlast);
-        end;
-        obnovB[ik,jk]:=obn;
-      end;
-    end;
-end;
-
-procedure MouseDown(x,y,b:integer);
-begin
-  case b of
-    1:AddColonyType((y-y0)div w,(x-x0)div w, ColonyType.LD);
-    
-  end;
-end;
-
-begin
-  AssignArray(obnovA,nk+1,mk+1);
-  AssignArray(obnovB,nk+1,mk+1);
-  AssignArray(a,nn+1,mm+1);
-  AssignArray(b,nn+1,mm+1);
-  AssignArray(sosedia,nn+1,mm+1);
-  AssignArray(sosedib,nn+1,mm+1);
-  SetWindowCaption('Игра "Жизнь"');
-  if (m mod mk<>0) or (n mod nk<>0) then
-  begin
-    writeln('Размер кластера не согласован с размером поля. Программа завершена');
-    exit
-  end;
-  hm:=m div mk;
-  hn:=n div nk;
-  SetBrushColor(ClearColor);
-  SetWindowSize(x0+m*w,y0+n*w+graphW);
-  CenterWindow;
-  ClearWindow(ClearColor);
-  SetFontName('Courier New');
-  SetFontSize(10);
-  Init;
-  DrawField;
-  DrawConfiguration;
-  OnMouseDown:=MouseDown;
-  mil:=Milliseconds;
-  var gen:=0;
-  DrawInBuffer := false;
-  while true do begin
-    gen+=1;
-    //SosediA:=SosediB;
-    //obnovA:=obnovB;
-    CopyArray(sosedib,sosedia);
-    CopyArray(obnovB,obnovA);
-    NextGen;    
-    if gen mod 10 = 0 then begin
-      DrawInBuffer := True;
-      SetBrushColor(ClearColor);
-      SetFontColor(FillColor);
-      TextOut(25, 0,'Поколение: '+IntToStr(gen));
-      TextOut(765,0,'Жителей: '+IntToStr(count)+'    ');
-      if gen mod 1000 = 0 then begin
-        mil1:=Milliseconds;
-        writeln(gen,'  ',(mil1-mil)/1000);
-        mil:=mil1;
-      end;
-      DrawInBuffer := false;
-    end;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/Main.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/Main.pas
deleted file mode 100644
index 3946450ad..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/Main.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-//(c) DarkStar 2008
-uses GraphABC, Paporotnik, PaporotnikData;
-
-const 
-  Iterations = 300000;         
-  Height     = 600;            
-  Fast       = false;
-  Width      = Height div 2;        
-  WindowWidth= Width * 3;        
-  Brightness = 170;
-
-var 
-  Paprotnik := new PaporotnikFractal(PaprotnikData);
-  SimplePaprotnik := new PaporotnikFractal(SimplePaprotnikData);
-  Elka := new PaporotnikFractal(ElkaData);
-
-begin
-  InitWindow(200, 50, WindowWidth , Height, clBlack);
-  Paprotnik.Draw(0, 0, Iterations, Height, Brightness, fast);
-  SimplePaprotnik.Draw(Width, 0, Iterations, Height, Brightness, fast);
-  Elka.Draw(Width*2, 0, Iterations, Height, Brightness, fast);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/Paporotnik.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/Paporotnik.pas
deleted file mode 100644
index 3d689e7a5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/Paporotnik.pas
+++ /dev/null
@@ -1,51 +0,0 @@
-///Модуль для рисования фракталов семейства "Лист папоротника"
-unit Paporotnik;
-
-uses GraphABC;
-
-type
-
-  ///Настройки фрактала
-  PaporotnikFractalInitalData = record
-    data: array of array of real; 
-    P0,P1,P2,P3:real;
-  end;
-  
-  ///Фрактал "Лист папоротника"  
-  PaporotnikFractal = class
-  private
-    data: array of array of real; 
-    P0,P1,P2,P3:real;
-  public
-    constructor(initdata: PaporotnikFractalInitalData);
-    begin
-      data := initdata.data;
-      P0 := initdata.P0;
-      P1 := initdata.P1;
-      P2 := initdata.P2;
-      P3 := initdata.P3;
-    end;
-    procedure Draw(x0,y0,Iterations,Height,Brightness: integer; fast: boolean);
-    begin
-      var plotx, ploty, x, y : real;
-      var Size := Height/11;
-      var Width := Height div 2;
-      var dx := Width div 2;
-	    var dc := Iterations div Brightness;
-      if fast then
-        LockDrawing;
-      for var i:=1 to Iterations do begin
-        var P := Random(100);    
-        var rnd := P<P0 ? 0 : P<P1+P0 ? 1 : P<P2+P1+P0 ? 2 : 3;
-        plotx := data[rnd,0]*x + data[rnd,1]*y;
-        ploty := data[rnd,2]*x + data[rnd,3]*y + data[rnd,5];
-        x := plotx;
-        y := ploty;
-        SetPixel(x0+Round(x*Size) + dx, y0+Height - Round(y*Size), GreenColor(byte(30 + (i div dc))));
-      end;
-      if fast then
-        UnlockDrawing;      
-    end;
-  end;
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/PaporotnikData.pas b/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/PaporotnikData.pas
deleted file mode 100644
index 38069519a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Applications/GraphApplications/Paporotnik/PaporotnikData.pas
+++ /dev/null
@@ -1,41 +0,0 @@
-///Константы задающие фракталы
-unit PaporotnikData;
-
-uses Paporotnik;
-
-var
-  ///Папоротник с изогнутым листом
-  PaprotnikData: PaporotnikFractalInitalData := (
-    data: (( 0.0000,  0.0000,  0.0000,  0.1600, 0, 0.0000),
-	         ( 0.8500,  0.0400, -0.0400,  0.8500, 0, 1.6000),
-	         ( 0.1667, -0.2887,  0.2887,  0.1667, 0, 1.6000),
-	         (-0.1667,  0.2887,  0.2887,  0.1667, 0, 0.4400));
-    P0: 3; 
-    P1: 83;
-    P2: 7; 
-    P3: 7);
-    
-  ///Папоротник с прямым листом
-  SimplePaprotnikData: PaporotnikFractalInitalData := (
-    data: (( 0.00,  0.00, 0.00, 0.16, 0, 0.00),
-        	 ( 0.85,  0.00, 0.00, 0.85, 0, 1.60),
-        	 ( 0.20, -0.26, 0.23, 0.22, 0, 1.60),
-	         (-0.20,  0.26, 0.23, 0.22, 0, 1.60));
-    P0: 3; 
-    P1: 83;
-    P2: 7; 
-    P3: 7);
-
-  ///Елка
-  ElkaData: PaporotnikFractalInitalData := (
-	  data: (( 0.1000,  0.0000,  0.0000,  0.1600, 0, 0.0000),
-           ( 0.8500,  0.0000,  0.0000,  0.8500, 0, 1.6000),
-           (-0.1667, -0.2887,  0.2887, -0.1667, 0, 1.6000),
-           (-0.1667,  0.2887, -0.2887, -0.1667, 0, 1.6000));
-    P0: 1; 
-    P1: 85;
-    P2: 7; 
-    P3: 7);
-
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DMpp17.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DMpp17.pas
deleted file mode 100644
index 3c2c23b71..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DMpp17.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Выполнение задания pp17 для Чертежника
-uses Drawman;
-
-procedure Spir(n: integer);
-begin
-  PenDown;
-  var i := n;
-  while i>=1 do
-  begin
-    OnVector(0,i);
-    OnVector(i,0);
-    i -= 1;
-    OnVector(0,-i);
-    OnVector(-i,0);
-    i -= 1;
-  end;
-  PenUp;
-end;
-
-begin
-  Task('pp17');
-  ToPoint(2,2);
-  Spir(10);
-  ToPoint(16,2);
-  Spir(8);
-  ToPoint(0,0);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DrawManMakeTask/DMMy1.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DrawManMakeTask/DMMy1.pas
deleted file mode 100644
index 239a4dfa6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DrawManMakeTask/DMMy1.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-uses DrawMan,DrawManAddTasks;
-
-begin
-  Task('my1');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DrawManMakeTask/DrawManAddTasks.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DrawManMakeTask/DrawManAddTasks.pas
deleted file mode 100644
index 5ad9e6a56..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/DrawManMakeTask/DrawManAddTasks.pas
+++ /dev/null
@@ -1,24 +0,0 @@
-/// Дополнительный модуль для исполнителя Чертежник с заданиями
-unit DrawManAddTasks;
-// После компиляции pcu-файл модуля желательно разместить в папке PascalABC.NET\bin\Lib
-
-uses DrawMan,DMTaskMaker;
-
-procedure my1;
-begin
-  TaskText('Задание my1. Начертите, используя циклы');
-  Field(14,14);
-  DoToPoint(1,7);
-  var k := 1;
-  DoPenDown;
-  for var i:=1 to 12 do
-  begin
-    DoOnVector(1,i*k);
-    k:=-k;
-  end;
-  DoPenUp;
-end;
-
-begin
-  RegisterTask('my1',my1);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/random_DM.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/random_DM.pas
deleted file mode 100644
index c9f2904c0..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/DrawMan/random_DM.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Демонстрация использования случайных чисел для Чертежника. Лучи
-uses DrawMan;
-
-begin
-  Field(30,22);
-  ToPoint(15,11);
-  PenDown;
-  for var i:=1 to 100 do
-  begin
-    var dx := Random(-10,10);
-    var dy := Random(-10,10);
-    OnVector(dx,dy);
-    OnVector(-dx,-dy);
-  end;
-  PenUp;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/Dynamic2.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/Dynamic2.pas
deleted file mode 100644
index 4888d1972..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/Dynamic2.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Пример решения задачи Dynamic2 из электронного задачника Programming Taskbook
-uses PT4;
-
-var p1,p2: PNode;
-
-begin
-  Task('Dynamic2');
-  read(p1);
-  var n := 0;
-  while p1 <> nil do
-  begin
-    write(p1^.Data);
-    n += 1;
-    p2 := p1;       { сохраняем адрес текущего элемента }
-    p1 := p1^.Next; { и переходим к следующему элементу }
-  end;
-  write(n, p2);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/File48.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/File48.pas
deleted file mode 100644
index b6c906d29..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/File48.pas
+++ /dev/null
@@ -1,24 +0,0 @@
-// Пример решения задачи File48 из электронного задачника Programming Taskbook
-uses PT4;
-var
-  f: array [1..4] of file of integer;
-begin
-  Task('File48');
-  for var i:=1 to 4 do
-  begin
-    var s: string;
-    read(s);
-    Assign(f[i], s);
-    if i < 4 then Reset(f[i])
-    else Rewrite(f[i]);
-  end;
-  while not Eof(f[1]) do
-    for var i:=1 to 3 do
-    begin
-      var a: integer;
-      read(f[i],a);
-      write(f[4],a);
-    end;
-  for var i := 1 to 4 do
-    Close(f[i]);
-end.  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Demo.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Demo.pas
deleted file mode 100644
index b8647c5bc..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Demo.pas
+++ /dev/null
@@ -1,312 +0,0 @@
-unit PT4Demo;
-
-interface
-
-implementation
-
-uses PT4TaskMaker;
-
-procedure Demo3;
-var
-  a, b: real;
-begin
-  StartTask('Ввод и вывод данных, оператор присваивания');
-  TaskText('Даны стороны прямоугольника~{a} и~{b}.', 0, 2);
-  TaskText('Найти его площадь {S}~=~{a}\*{b} и периметр {P}~=~2\*({a}\;+\;{b}).', 0, 4);
-  a := (1 + Random(100)) / 10;
-  b := (1 + Random(100)) / 10;
-  DataR('a = ', a, xLeft, 3, 4);
-  DataR('b = ', b, xRight, 3, 4);
-  ResultR('S = ', a * b, 0, 2, 4);
-  ResultR('P = ', 2 * (a + b), 0, 4, 4);
-  SetNumberOfTests(3);
-end;
-
-procedure Demo4;
-var
-  m, n, i, j, k: integer;
-  a: array [1..5, 1..8] of real;
-begin
-  StartTask('Двумерные массивы (матрицы): вывод элементов');
-  TaskText('Дана матрица размера~{M}\;\x\;{N} и\ целое число~{K} (1~\l~{K}~\l~{M}).', 0, 2);
-  TaskText('Вывести элементы {K}-й строки данной матрицы.', 0, 4);
-  m := 2 + Random(4);
-  n := 4 + Random(5);
-  k := 1;
-  if m = 5 then k := 0;
-  DataN('M = ', m, 3, 1, 1);
-  DataN('N = ', n, 10, 1, 1);
-  for i := 1 to M do
-    for j := 1 to N do
-    begin
-      a[i, j] := 9.98 * Random;
-      DataR('', a[i,j], Center(j, n, 4, 2), i + k, 4);
-    end;
-  k := 1 + Random(m);
-  dataN('K = ', k, 68, 5, 1);
-  for j := 1 to n do
-    ResultR('', a[k, j], Center(j, n, 4, 2), 3, 4);
-  SetNumberOfTests(5);
-end;
-
-procedure Demo5;
-var s: string;
-begin
-  StartTask('Символы и строки: основные операции');
-  TaskText('Дана строка~{S}.', 0, 2);
-  TaskText('Вывести ее первый и последний символ.', 0, 4);
-  s := SampleWord(Random(SampleWordCount));
-  DataS('S = ', s, 0, 3);
-  ResultC('Первый символ: ', s[1], xLeft, 3);
-  ResultC('Последний символ: ', s[length(s)], xRight, 3);
-  SetNumberOfTests(4);
-end;
-
-function FileName(Len: integer): string;
-const
-  c = '0123456789abcdefghijklmnopqrstuvwxyz';
-var
-  i: integer;
-begin
-  result := '';
-  for i := 1 to len do
-    result := result + c[Random(Length(c))+1];
-end;
-
-procedure Demo6;
-var
-  k, i, j, jmax: integer;
-  s1, s2, s3: string;
-  fs1: file of shortstring;
-  fs2: file of shortstring;
-  fc3: file of char;
-  s: shortstring;
-  c: char;
-begin
-  StartTask('Символьные и строковые файлы');
-  TaskText('Дано целое число~{K} (>\,0) и строковый файл.', 0, 1);
-  TaskText('Создать два новых файла: строковый, содержащий первые {K}~символов', 0, 2);
-  TaskText('каждой строки исходного файла, и символьный, содержащий {K}-й символ', 0, 3);
-  TaskText('каждой строки (если длина строки меньше~{K}, то в строковый файл', 0, 4);
-  TaskText('записывается вся строка, а в символьный файл записывается пробел).', 0, 5);
-  s1 := '1' + FileName(5) + '.tst';
-  s2 := '2' + FileName(5) + '.tst';
-  s3 := '3' + FileName(5) + '.tst';
-  Assign(fs1, s1);
-  Rewrite(fs1);
-  Assign(fs2, s2);
-  Rewrite(fs2);
-  Assign(fc3, s3);
-  Rewrite(fc3);
-  k := 2 + Random(10);
-  jmax := 0;
-  for i := 1 to 10 + Random(20) do
-  begin
-    j := 2 + Random(15);
-    if jmax < j then
-      jmax := j;
-    s := FileName(j);
-    write(fs1, s);
-    if j >= k then
-      c := s[k]
-    else
-      c := ' ';
-    write(fc3, c);
-    s := copy(s, 1, k);
-    write(fs2,s);
-  end;
-  Close(fs1);
-  Close(fs2);
-  Close(fc3);
-  DataN('K =', k, 0, 1, 2);
-  DataS('Имя исходного файла: ', s1, 3, 2);
-  DataS('Имя результирующего строкового файла:  ', s2, 3, 4);
-  DataS('Имя результирующего символьного файла: ', s3, 3, 5);
-  DataComment('Содержимое исходного файла:', xRight, 2);
-  DataFileS(s1, 3, jmax + 3);
-  ResultComment('Содержимое результирующего строкового файла:', 0, 2);
-  ResultComment('Содержимое результирующего символьного файла:', 0, 4);
-  ResultFileS(s2, 3, k + 3);
-  ResultFileC(s3, 5, 4);
-end;
-
-procedure Demo7;
-var
-  i, n: integer;
-  s: TSampleLines;
-  s1, s2: string;
-  t1, t2: text;
-begin
-  StartTask('Текстовые файлы: основные операции');
-  TaskText('Дан текстовый файл.', 0, 2);
-  TaskText('Удалить из него все пустые строки.', 0, 4);
-  s1 := FileName(6) + '.tst';
-  s2 := '#' + FileName(6) + '.tst';
-  SampleText(Random(SampleTextCount), n, S);
-  Assign(t2, s2);
-  Rewrite(t2);
-  Assign(t1, s1);
-  Rewrite(t1);
-  for i := 0 to n - 1 do
-  begin
-    writeln(t2, s[i]);
-    if s[i] <> '' then
-      writeln(t1, s[i]);
-  end;
-  Close(t1);
-  Close(t2);
-  ResultFileT(s1, 1, 5);
-  Rename(t2, s1);
-  DataFileT(s1, 2, 5);
-  DataS('Имя файла: ', s1, 0, 1);
-  SetNumberOfTests(3);
-end;
-
-var WrongNode: TNode;
-
-procedure Demo8;
-var
-  i, n: integer;
-  p, p1, p2: PNode;
-begin
-  StartTask('Динамические структуры данных: двусвязный список');
-  TaskText('Дан указатель~{P}_1 на начало непустой цепочки элементов-записей типа TNode,', 0, 1);
-  TaskText('связанных между собой с помощью поля Next. Используя поле Prev записи TNode,', 0, 2);
-  TaskText('преобразовать исходную (\Iодносвязную\i) цепочку в  \Iдвусвязную\i, в которой каждый', 0, 3);
-  TaskText('элемент связан не только с последующим элементом (с помощью поля Next),', 0, 4);
-  TaskText('но и с предыдущим (с помощью поля Prev). Поле Prev первого элемента положить', 0, 5);
-  TaskText('равным~\N. Вывести указатель на последний элемент преобразованной цепочки.', 0, 0);
-  if Random(4) = 0 then
-    n := 1
-  else
-    n := 2 + Random(8);
-  new(p1);
-  p1^.Data := Random(90) + 10;
-  p1^.Prev := nil;
-  p2 := p1;
-  for i := 2 to n do
-  begin
-    new(p);
-    p^.Data := Random(90) + 10;
-    p^.Prev := p2;
-    p2^.Next := p;
-    p2 := p;
-  end;
-  p2^.Next := nil;
-  SetPointer(1, p1);
-  SetPointer(2, p2);
-  ResultP('Адрес последнего элемента: ', 2, 0, 2);
-  ResultList(1, 0, 3);
-  ShowPointer(2);
-  DataP('', 1, 0, 2);
-  p := p1;
-  for i := 1 to n do
-  begin
-    p^.prev := @WrongNode;
-    p := p^.Next;
-  end;
-  DataList(1, 0, 3);
-  ShowPointer(1);
-end;
-
-procedure Demo9;
-var
-  i, n: integer;
-  p, p1, p2: PNode;
-begin
-  StartTask('Динамические структуры данных: двусвязный список');
-  TaskText('Дана ссылка~{A}_1 на начало непустой цепочки элементов-объектов типа Node,', 0, 1);
-  TaskText('связанных между собой с помощью своих свойств Next. Используя свойства Prev', 0, 2);
-  TaskText('данных объектов, преобразовать исходную (\Iодносвязную\i) цепочку в \Iдвусвязную\i,', 0, 3);
-  TaskText('в которой каждый элемент связан не только с последующим элементом (с помощью', 0, 4);
-  TaskText('свойства Next), но и с предыдущим (с помощью свойства Prev). Свойство Prev', 0, 5);
-  TaskText('первого элемента положить равным~\O. Вывести ссылку~{A}_2 на последний', 0, 0);
-  TaskText('элемент преобразованной цепочки.', 0, 0);
-  SetObjectStyle;
-  if Random(4) = 0 then
-    n := 1
-  else
-    n := 2 + Random(8);
-  new(p1);
-  p1^.Data := Random(90) + 10;
-  p1^.Prev := nil;
-  p2 := p1;
-  for i := 2 to n do
-  begin
-    new(p);
-    p^.Data := Random(90) + 10;
-    p^.Prev := p2;
-    p2^.Next := p;
-    p2 := p;
-  end;
-  p2^.Next := nil;
-  SetPointer(1, p1);
-  SetPointer(2, p2);
-  ResultP('Последний элемент: ', 2, 0, 2);
-  ResultList(1, 0, 3);
-  ShowPointer(2);
-  DataP('', 1, 0, 2);
-  p := p1;
-  for i := 1 to n do
-  begin
-    p^.prev := @WrongNode;
-    p := p^.Next;
-  end;
-  DataList(1, 0, 3);
-  ShowPointer(1);
-  SetNumberOfTests(6);
-end;
-
-var i: integer := 0;
-
-procedure InitTask(num: integer);
-begin
-  i += 1;
-  writeln(i);
-  case num of
-  1..2: UseTask('Begin', num);
-  3: Demo3;
-  4: Demo4;
-  5: Demo5;
-  6: Demo6;
-  7: Demo7;
-  8: Demo8;
-  9: Demo9;
-  end;
-end;
-
-begin
-  AddGroup('Demo', 'Примеры различных задач', 'М. Э. Абрамян, 2008',
-    'qwqfsdf13dfttd', 9, InitTask);
-    
-  AddCommentText('Демонстрируются различные возможности');
-  AddCommentText('конструктора учебных заданий \MPT4TaskMaker\m.');
-
-  SubgroupComment('Ввод и вывод данных, оператор присваивания');
-  AddCommentText('В данной подгруппе два первых задания \Iимпортированы\i');
-  AddCommentText('из группы \SBegin\s. ');
-  AddCommentText('\PПриводимый ниже абзац преамбулы также импортирован из группы \SBegin\s.\P');
-  UseCommentText('Begin');
-
-  SubgroupComment('Двумерные массивы (матрицы): вывод элементов');
-  AddCommentText('Данное задание дублирует задание Matrix7.');
-
-  SubgroupComment('Символьные и строковые файлы');
-  AddCommentText('Данное задание дублирует задание File63. Оно демонстрирует');
-  AddCommentText('особенности, связанные с двоичными \Iстроковыми\i файлами.');
-  AddCommentText('При реализации задания используется вспомогательная функция \MFileName\m.');
-
-  SubgroupComment('Текстовые файлы: основные операции');
-  AddCommentText('Данное задание дублирует задание Text16.');
-
-  SubgroupComment('Динамические структуры данных: двусвязный список');
-  AddCommentText('Первое задание дублирует задание Dynamic30.');
-  AddCommentText('\PВторое задание дублирует задание ObjDyn30. Его реализация совпадает, по существу, ');
-  AddCommentText('с реализацией предыдущего задания. Отличия проявляются лишь в стиле формулировки:');
-  AddCommentText('во втором задании использован \<объектный\> стиль, характерный для среды .NET.');
-
-  RegisterGroup;
-
-  CloseGroup;
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Demo.pcu b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Demo.pcu
deleted file mode 100644
index 554b616f6..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Demo.pcu and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4DemoTest.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4DemoTest.pas
deleted file mode 100644
index 9736d7ae3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4DemoTest.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-uses PT4, PT4Demo;
-begin
-// для отображения окна задачника
-// надо закомментировать вызов процедуры MakeText
-  MakeText('Demo');
-  Task('Demo7?');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Tasks.html b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Tasks.html
deleted file mode 100644
index b2c858958..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/PT4Tasks.html
+++ /dev/null
@@ -1,53 +0,0 @@
-<!-- Programming Taskbook 4.7 | Copyright (c) M. Abramyan, 1998-2008 -->
-<html><head><meta http-equiv="Content-Type" content="text/html; charset=windows-1251">
-<title>Programming Taskbook 4.7</title>
-<style type="text/css">
-H1{font-family:"Arial";font-size:20pt;text-indent:0;margin-top:10; margin-right:10; margin-bottom:0; margin-left:10;}
-H2{font-family:"Arial";font-size:16pt;text-indent:0;margin-top:5; margin-right:10; margin-bottom:0; margin-left:10;}
-P{font-family:"Times New Roman";text-align:left;font-size:12pt;text-indent:0;margin-top:0; margin-right:10; margin-bottom:0; margin-left:10;}
-TD{font-family:"Times New Roman";font-size:12pt;}
-LI{font-family:"Times New Roman";font-size:12pt;}
-UL{font-family:"Times New Roman";font-size:12pt;}
-SUB{font-family:"Times New Roman";font-size:8pt;}
-SUP{font-family:"Times New Roman";font-size:8pt;}
-TABLE{margin-top:0; margin-bottom:0;}
-P.ptTask{text-align:justify;text-indent:-50;margin-top:5; margin-left:60;}
-P.ptAuthor{text-align:right;font-size:10pt;font-style:italic;}
-P.ptTaskAfterCenter{text-align:justify;margin-left:60;}
-P.ptTaskAfterQuote{text-align:justify;margin-left: 60;}
-P.ptTaskQuote{text-align:left;margin-left:120;margin-top:0;margin-bottom:0;}
-P.ptTaskCenter{text-align:center;margin-left:60;margin-top:0;margin-bottom:0;}
-P.ptComment{text-align:justify;text-indent:50;margin-top:5;}
-P.ptCommentAfterCenter{text-align:justify;}
-P.ptCommentAfterQuote{text-align:justify;}
-P.ptCommentCenter{text-align:center;}
-P.ptCommentQuote{text-align:left;margin-left:120;margin-top:0;margin-bottom:0;}
-P.foot{text-align:right;font-size:10pt;font-style:italic;margin-right:0;}
-</style>
-</head><body>
-<h1>������� ��������� �����</h1>
-<p class="ptAuthor">�����: �.&nbsp;�.&nbsp;�������, 2008</p>
-<p class="ptComment"> ��������������� ��������� ����������� ������������ ������� ������� <tt>PT4TaskMaker</tt>.</p>
-<h2>���� �&nbsp;����� ������, �������� ������������</h2>
-<p class="ptComment"> � ������ ��������� ��� ������ ������� <i>�������������</i> �� ������ <font face="Arial">Begin</font>. </p><p class="ptComment">���������� ���� ����� ��������� ����� ������������ �� ������ <font face="Arial">Begin</font>.</p><p class="ptComment">��� ������� � �������� ������ � �������� ���� ������ �������� ������������� �������.</p>
-<p class="ptTask"><font face="Arial">Demo1</font>. ���� ������� ��������&nbsp;<i>a</i>. ����� ��� ��������&nbsp;<i>P</i>&nbsp;=&nbsp;4&#183;<i>a</i>. </p>
-<p class="ptTask"><font face="Arial">Demo2</font>. ���� ������� ��������&nbsp;<i>a</i>. ����� ��� �������&nbsp;<i>S</i>&nbsp;=&nbsp;<i>a</i><sup>2</sup>. </p>
-<p class="ptTask"><font face="Arial">Demo3</font>. ���� ������� ��������������&nbsp;<i>a</i> �&nbsp;<i>b</i>. ����� ��� ������� <i>S</i>&nbsp;=&nbsp;<i>a</i>&#183;<i>b</i> � �������� <i>P</i>&nbsp;=&nbsp;2&#183;(<i>a</i>&nbsp;+&nbsp;<i>b</i>). </p>
-<h2>��������� ������� (�������): ����� ���������</h2>
-<p class="ptComment"> ������ ������� ��������� ������� Matrix7.</p>
-<p class="ptTask"><font face="Arial">Demo4</font>. ���� ������� �������&nbsp;<i>M</i>&nbsp;<font face="Symbol">&#180;</font>&nbsp;<i>N</i> � ����� �����&nbsp;<i>K</i> (1&nbsp;<font face="Symbol">&#163;</font>&nbsp;<i>K</i>&nbsp;<font face="Symbol">&#163;</font>&nbsp;<i>M</i>). ������� �������� <i>K</i>-� ������ ������ �������. </p>
-<h2>������� �&nbsp;������: �������� ��������</h2>
-<p class="ptTask"><font face="Arial">Demo5</font>. ���� ������&nbsp;<i>S</i>. ������� �� ������ � ��������� ������. </p>
-<h2>���������� �&nbsp;��������� �����</h2>
-<p class="ptComment"> ������ ������� ��������� ������� File63. ��� ������������� �����������, ��������� � ��������� <i>����������</i> �������. ��� ���������� ������� ������������ ��������������� ������� <tt>FileName</tt>.</p>
-<p class="ptTask"><font face="Arial">Demo6</font>. ���� ����� �����&nbsp;<i>K</i> (&gt;&nbsp;0) � ��������� ����. ������� ��� ����� �����: ���������, ���������� ������ <i>K</i>&nbsp;�������� ������ ������ ��������� �����, � ����������, ���������� <i>K</i>-� ������ ������ ������ (���� ����� ������ ������&nbsp;<i>K</i>, �� � ��������� ���� ������������ ��� ������, � � ���������� ���� ������������ ������). </p>
-<h2>��������� �����: �������� ��������</h2>
-<p class="ptComment"> ������ ������� ��������� ������� Text16.</p>
-<p class="ptTask"><font face="Arial">Demo7</font>. ��� ��������� ����. ������� �� ���� ��� ������ ������. </p>
-<h2>������������ ��������� ������: ���������� ������</h2>
-<p class="ptComment"> ������ ������� ��������� ������� Dynamic30. </p><p class="ptComment">������ ������� ��������� ������� ObjDyn30. ��� ���������� ���������, �� ��������, � ����������� ����������� �������. ������� ����������� ���� � ����� ������������: �� ������ ������� ����������� &#171;���������&#187; �����, ����������� ��� ����� .NET.</p>
-<p class="ptTask"><font face="Arial">Demo8</font>. ��� ���������&nbsp;<i>P</i><sub>1</sub> �� ������ �������� ������� ���������-������� ���� TNode, ��������� ����� ����� � ������� ���� Next. ��������� ���� Prev ������ TNode, ������������� �������� (<i>�����������</i>) ������� �  <i>����������</i>, � ������� ������ ������� ������ �� ������ � ����������� ��������� (� ������� ���� Next), �� � � ���������� (� ������� ���� Prev). ���� Prev ������� �������� �������� ������&nbsp;nil. ������� ��������� �� ��������� ������� ��������������� �������. </p>
-<p class="ptTask"><font face="Arial">Demo9</font>. ���� ������&nbsp;<i>A</i><sub>1</sub> �� ������ �������� ������� ���������-�������� ���� Node, ��������� ����� ����� � ������� ����� ������� Next. ��������� �������� Prev ������ ��������, ������������� �������� (<i>�����������</i>) ������� � <i>����������</i>, � ������� ������ ������� ������ �� ������ � ����������� ��������� (� ������� �������� Next), �� � � ���������� (� ������� �������� Prev). �������� Prev ������� �������� �������� ������&nbsp;null. ������� ������&nbsp;<i>A</i><sub>2</sub> �� ��������� ������� ��������������� �������. </p>
-<hr noshade>
-<div align=right><font size=-1>���� ��������� ��������: 15.10.2008.</font></div>
-</body></html>
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/results.abc b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/results.abc
deleted file mode 100644
index 75a45940f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/PT4TaskMaker/results.abc
+++ /dev/null
@@ -1 +0,0 @@
-N�祭��|10PABC1                                                                NC:\PROGRA~1\PASCAL~1.NET\PT4                                                  NV8�������#"%'%&&*&$#"%'%&&*&:R4='%&&*&$#"%'%>7<7:7:<8==>C><6257566:643257566:6
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/String9.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/String9.pas
deleted file mode 100644
index 44715e324..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/PT4/String9.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Пример решения задачи String9 из электронного задачника Programming Taskbook
-uses PT4;
-var
-  n: integer;
-  c1,c2: char;
-  s: string;
-begin
-  Task('String9');
-  read(n,c1,c2);
-  s := '';
-  for var i := 1 to n div 2 do
-    s := s + c1 + c2;
-  write(s);
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RBcc17.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RBcc17.pas
deleted file mode 100644
index 59285e1a8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RBcc17.pas
+++ /dev/null
@@ -1,23 +0,0 @@
-// Выполнение задания cc17 для Робота
-uses Robot;
-
-begin
-  Task('cc17');
-  for var i:=6 downto 1 do
-  begin
-    for var j:=1 to i do
-    begin
-      for var k:=1 to j do
-      begin
-        Paint;
-        Up;
-      end;
-      for var k:=1 to j do
-        Down;
-      Right;  
-    end;
-    Right;
-  end;
-  Left;
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RobotMakeTask/RBMy1.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RobotMakeTask/RBMy1.pas
deleted file mode 100644
index 79d0ecc1a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RobotMakeTask/RBMy1.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-uses Robot,RobotAddTasks;
-
-begin
-  Task('my1');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RobotMakeTask/RobotAddTasks.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RobotMakeTask/RobotAddTasks.pas
deleted file mode 100644
index 6bf966b38..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/RobotMakeTask/RobotAddTasks.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-unit RobotAddTasks;
-
-uses Robot,RobotTaskMaker;
-
-procedure my1;
-begin
-  TaskText('Задание my1. Закрасить помеченные клетки');
-  Field(15,11);
-  RobotBeginEnd(1,1,15,11);
-  Tag(8,6);
-  HorizontalWall(3,5,5);
-  HorizontalWall(3,6,5);
-  VerticalWall(8,5,1);
-end;
-
-begin
-  RegisterTask('my1',my1);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/random_Robot.pas b/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/random_Robot.pas
deleted file mode 100644
index 4ab24f209..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/CheckedTasks/Robot/random_Robot.pas
+++ /dev/null
@@ -1,17 +0,0 @@
- // Демонстрация использования случайных чисел для Робота. Случайное блуждание
-uses Robot;
-
-begin
-  Field(50,40);
-  while True do
-  begin
-    var r := Random(4);
-    case r of
-      0: if FreeFromUp then Up;
-      1: if FreeFromDown then Down;
-      2: if FreeFromLeft then Left;
-      3: if FreeFromRight then Right;
-    end;
-    Paint;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Boxing.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Boxing.pas
deleted file mode 100644
index 8f7eec850..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Boxing.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-// Упаковка-распаковка размерных типов
-var 
-  i: integer := 2;
-  r: real := 3.14;
-  o: object;
-
-begin
-  o := i; // Упаковка: объект размерного типа integer упаковывается в объект ссылочного типа, 
-          // котрый и присваивается переменной o
-          // Преобразование типов при упаковке - неявное
-  writeln(integer(o)); // Распаковка: из упакованного объекта извлекается значение        
-                       // Преобразование типов при распаковке - явное
-  o := r;
-  writeln(real(o));
-  
-  try // При неверном преобразовании типов генерируется исключение InvalidCastException
-    writeln(shortint(o));
-  except
-    on e: Exception do
-      writeln(e.GetType);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ClassConstructor.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ClassConstructor.pas
deleted file mode 100644
index c9f9d8d3c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ClassConstructor.pas
+++ /dev/null
@@ -1,36 +0,0 @@
-// Иллюстрация использования статических (классовых) конструкторов
-type 
-  Person = class
-  private
-    class arr: array of Person; // Классовое поле. Связано не с переменной класса, а с классом. 
-    name: string;
-    age: integer;
-  public
-    class constructor; // Конструктор класса. Вызывается до создания первого объекта класса и до вызова любого классового метода
-    begin
-      writeln('  Вызван классовый конструктор');
-      SetLength(arr,3);
-      arr[0] := new Person('Иванов',20);
-      arr[1] := new Person('Петрова',19);
-      arr[2] := new Person('Попов',35);
-    end;
-    constructor (n: string; a: integer);
-    begin
-      name := n;
-      age := a;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('Имя: {0}   Возраст: {1}',name,age);      
-    end;
-    class function RandomPerson: Person; // Классовый метод. Может обращаться только к классовым полям
-    begin
-      Result := arr[Random(3)];
-    end;
-  end;
-  
-begin
-  writeln('Случайные персоны');
-  for var i:=1 to 5 do
-    writeln(Person.RandomPerson); // Вызов классового метода
-end.  
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/MyDll.dll b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/MyDll.dll
deleted file mode 100644
index 9a9c8f827..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/MyDll.dll and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/MyDll.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/MyDll.pas
deleted file mode 100644
index 8d5974158..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/MyDll.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Dll-библиотека
-library MyDll;
-
-const n = 10;
-
-function add(a,b: integer): integer;
-begin
-  Result := a + b;
-end;
-
-procedure PrintPascalABCNET;
-begin
-  writeln('PascalABC.NET');
-end;
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/main.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/main.pas
deleted file mode 100644
index 39a4f7e00..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/DllTest/main.pas
+++ /dev/null
@@ -1,10 +0,0 @@
-// Это - главная программа
-// Именами из dll-библиотеки, написанной на PascalABC.NET, можно пользоваться, 
-// не подключая пространства имен
-#reference 'mydll.dll'
-
-begin
-  PrintPascalABCNET;
-  writeln(n);
-  writeln(add(2,3));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachExamples.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachExamples.pas
deleted file mode 100644
index a227823f6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachExamples.pas
+++ /dev/null
@@ -1,44 +0,0 @@
-// Пример иллюстрирует всевозможные типы контейнеров, 
-// по которым можно перемещаться с помощью оператора foreach
-
-uses System.Collections.Generic;
-
-const n = 10;
-
-var 
-  x: integer;
-  a: array [1..n] of integer;
-  b: array of integer;
-  s: set of integer;
-  l: List<integer>;
-
-begin
-  for var i:=1 to n do 
-    a[i] := Random(100);
-  // Цикл foreach по статическому массиву
-  foreach x in a do
-    write(x,' ');
-  writeln;  
-    
-  SetLength(b,n);
-  for var i:=0 to n-1 do 
-    b[i] := Random(100);
-  
-  // Цикл foreach по динамическому массиву
-  foreach x in b do
-    write(x,' ');
-  writeln;  
-  
-  s := [2..5,10..14];
-  foreach x in s do
-    write(x,' ');
-  writeln;  
-  
-  l := new List<integer>;
-  l.AddRange(b);
-  l.Reverse;
-  foreach x in l do
-    write(x,' ');
-  writeln;  
-  
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachForSet.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachForSet.pas
deleted file mode 100644
index 5044ff296..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachForSet.pas
+++ /dev/null
@@ -1,5 +0,0 @@
-// Цикл по множеству. Порядок - не по алфавиту, поскольку множества реализованы на базе хеш-таблиц
-begin
-  foreach c: char in ['a'..'z'] do
-    Write(c);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachIEnumerable.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachIEnumerable.pas
deleted file mode 100644
index b30140fa1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ForeachIEnumerable.pas
+++ /dev/null
@@ -1,51 +0,0 @@
-// Пример иллюстрирует реализацию классом интерфейса IEnumerable 
-// для использования его в операторе foreach
-uses System.Collections;
-
-type
-  // Генератор чисел Фибоначчи
-  FibGen = class(IEnumerable, IEnumerator)
-  private
-    a,b,n,i: integer;
-  public
-    constructor Create(n: integer);
-    begin
-      i := -1;
-      a := 0;
-      b := 1;
-      Self.n := n;
-    end;
-    function Get_Current: Object;
-    begin
-      if i=0 then 
-        Result := 1
-      else Result := b;
-    end;
-    function GetEnumerator: IEnumerator;
-    begin
-      Result := Self;
-    end;
-    function MoveNext: boolean;
-    begin
-      i += 1;
-      Result := i<n;
-      if i=0 then exit;
-      var c := a + b;
-      a := b;
-      b := c;
-    end;
-    property Current: Object read Get_Current;
-    procedure Reset;
-    begin
-      i := -1;
-    end;
-  end;
-
-var f: FibGen;
-
-begin
-  writeln('Числа Фибоначчи');
-  f := new FibGen(25);
-  foreach x: integer in f do
-    write(x,' ');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/FracOperatorOverload.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/FracOperatorOverload.pas
deleted file mode 100644
index 9491ae6be..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/FracOperatorOverload.pas
+++ /dev/null
@@ -1,36 +0,0 @@
-// Перегрузка операций. Класс "Дробь"
-type 
-  Frac = record
-  private
-    n,m: integer;
-  public
-    constructor (n,m: integer);
-    begin
-      Self.n := n; 
-      Self.m := m;
-    end;
-    class function operator+(f1,f2: Frac): Frac; // операция перегружается как классовая функция
-    begin
-      Result.n := f1.n*f2.m+f1.m*f2.n;
-      Result.m := f1.n*f1.m;
-    end;
-    class function operator-(f1,f2: Frac): Frac;
-    begin
-      Result.n := f1.n*f2.m-f1.m*f2.n;
-      Result.m := f1.n*f1.m;
-    end;
-    function ToString: string; override; // Требуется переопределить эту функцию чтобы выводить переменные типа Frac в write
-    begin
-      Result := Format('{0}/{1}',n,m);
-    end;
-  end;
-
-var f,f1: Frac;
-
-begin
-  f := new Frac(2,3);
-  f1 := new Frac(1,2);
-  writelnFormat('{0} + {1} = {2} ',f,f1,f+f1);
-  // f+f1 переводится компилятором в Frac.operator+(f,f1)
-  writelnFormat('{0} - {1} = {2} ',f,f1,f-f1);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericClasses/Stack.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericClasses/Stack.pas
deleted file mode 100644
index d818e96ea..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericClasses/Stack.pas
+++ /dev/null
@@ -1,56 +0,0 @@
-// Демонстрация создания простого класса стека на базе массива
-type
-  Stack<T> = class
-  private
-    a: array of T;
-    last: integer;
-  public  
-    constructor Create(sz: integer);
-    begin
-      SetLength(a,sz);
-      last := 0;
-    end;
-    constructor Create;
-    begin
-      Create(100);
-    end;
-    procedure push(i: T);
-    begin
-      a[last] := i;
-      Inc(last);
-    end;
-    function pop: T;
-    begin
-      Dec(last);
-      pop := a[last];
-    end;
-    function top: T;
-    begin
-      top := a[last-1];
-    end;
-    function empty: boolean;
-    begin
-      Result := (last=0);
-    end;
-    function ToString: string; override;
-    begin
-      Result := '';
-      for var i:=0 to last-1 do
-        Result += a[i]+' ';
-    end;
-  end;
-  
-var s: Stack<integer>;
-
-begin
-  s := new Stack<integer>;
-  s.push(7);
-  s.push(2);
-  s.push(5);
-  s.push(4);
-  writeln(s);
-  while not s.empty do
-    write(s.pop,' ');
-end.
-
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericProcFun/FindT.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericProcFun/FindT.pas
deleted file mode 100644
index 09eea2c38..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericProcFun/FindT.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-// Обобщенные функции
-// Выведение типа T по типам параметров
-
-function IndexOf<T>(a: array of T; val: T): integer;
-begin
-  Result := -1;
-  for var i:=0 to a.Length-1 do
-    if a[i]=val then
-    begin
-      Result := i;
-      exit;
-    end;
-end;
-
-var a: array of string := ('Ваня', 'Коля', 'Саша', 'Сережа');
-
-begin
-  var s := 'Сережа';
-  writelnFormat('Индекс элемент со значением ''{0}'' равен {1}',s,IndexOf(a,s));
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericProcFun/SwapT.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericProcFun/SwapT.pas
deleted file mode 100644
index f8b0bcae9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Generics/GenericProcFun/SwapT.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Обобщенные функции
-// Выведение типа T по типам параметров
-
-procedure Swap<T>(var a,b: T);
-begin
-  var v := a;
-  a := b;
-  b := v;
-end;
-
-begin
-  var a := 2;
-  var b := 3;
-  writelnFormat('До Swap a={0}, b={1}',a,b);
-  Swap(a,b);
-  writelnFormat('После Swap a={0}, b={1}',a,b);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/IndexProperties.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/IndexProperties.pas
deleted file mode 100644
index 7b35e9e54..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/IndexProperties.pas
+++ /dev/null
@@ -1,76 +0,0 @@
-// Индексные свойства. Массив цветных квадратов 
-uses GraphABC;
-
-const 
-  sz = 50;
-  dim = 10;
-  delay = 500;
-
-type 
-  /// 
-  VisualArray = class
-  private
-    a: array of Color;
-    procedure SetItem(i: integer; x: Color); // Процедура, устанавливающая цвет i-того квадрата
-    begin
-      if (i<0) or (i>=a.Length) then
-        raise new System.ArgumentException('Выход за границы изменения индекса: '+IntToStr(i));
-      a[i] := x;
-      Draw(i);
-    end;
-    function GetItem(i: integer): Color; // Функция, возвращающая цвет i-того квадрата
-    begin
-      if (i<0) or (i>=a.Length) then
-        raise new System.ArgumentException('Выход за границы изменения индекса: '+IntToStr(i));
-      Result := a[i];
-    end;
-  public
-    constructor (n: integer);
-    begin
-      SetLength(a,n);
-      for var i:=0 to n-1 do
-        a[i] := clWhite;
-      Draw;
-    end;
-    /// Рисует i-тый квадрат
-    procedure Draw(i: integer);
-    begin
-      Brush.Color := a[i];
-      Rectangle(sz+sz*i,sz,sz+sz*(i+1)+1,sz+sz);
-    end;
-    /// Рисует массив цветных квадратов
-    procedure Draw;
-    begin
-      for var i:=0 to a.Length-1 do
-        Draw(i);
-    end;
-    /// Индексное свойство по умолчанию
-    property Item[i: integer]: Color read GetItem write SetItem; default;
-  end;
-
-var arr: VisualArray;
-
-begin
-  Window.Title := 'Иллюстрация индексных свойств';
-  arr := new VisualArray(dim);
-  SetWindowSize(sz*(dim+2),3*sz);
-  arr[0] := clGreen; // arr.Items[0] = arr[0] поскольку свойство Items является свойством по умолчанию
-  Sleep(delay);
-  arr[1] := clBlack;
-  Sleep(delay);
-  arr[2] := clYellow;
-  Sleep(delay);
-  arr[3] := clGray;
-  Sleep(delay);
-  arr[4] := clRed;
-  Sleep(delay);
-  arr[5] := clMagenta;
-  Sleep(delay);
-  arr[6] := clBrown;
-  Sleep(delay);
-  arr[7] := clMoneyGreen;
-  Sleep(delay);
-  arr[8] := clOlive;
-  Sleep(delay);
-  arr[9] := clLinen;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ParamsConcat.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ParamsConcat.pas
deleted file mode 100644
index 6f66ceed6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ParamsConcat.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Создание функции Concat с переменным числом параметров
-
-function Concat(params strs: array of string): string;
-begin
-  var sb := new System.Text.StringBuilder;
-  foreach x: string in strs do
-    sb.Append(x);
-  Result := sb.ToString;
-end;
-
-begin
-  Writeln(Concat('Pascal','ABC','.NET'));
-end. 
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ParamsWriteln.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ParamsWriteln.pas
deleted file mode 100644
index e31fc4699..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ParamsWriteln.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Создание процедуры MyWriteln с переменным числом параметров
-
-procedure MyWriteln(params args: array of object);
-begin
-  foreach x: Object in args do
-    System.Console.Write(x);
-  System.Console.WriteLine;
-end;
-
-var 
-  a: integer := 777;
-  b: boolean := True;
-  r: real := 3.1415;
-
-begin
-  MyWriteln(a,' ',b,' ',r);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ProcParam.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ProcParam.pas
deleted file mode 100644
index 5a77aa708..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ProcParam.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Иллюстрация процедурных переменных как параметров подпрограмм
-// Для процедурного типа в PascalABC.NET реализована структурная эквивалентность типов
-// Процедурный тип реализован через делегаты .NET
-procedure for_each(var a: array of real; p: procedure(var r: real));
-var i: integer;
-begin
-  for i := 0 to a.Length-1 do
-    p(a[i]);
-end;
-
-procedure mult2(var r: real);
-begin
-  r := 2*r
-end;
-
-procedure print(var r: real);
-begin
-  write(r,' ');
-end;
-
-var a: array of real := (1,2,3,6,7);
-
-begin
-  for_each(a,print); writeln;
-  for_each(a,mult2);
-  for_each(a,print);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ProcVars.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ProcVars.pas
deleted file mode 100644
index 6a4e88dd5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/ProcVars.pas
+++ /dev/null
@@ -1,36 +0,0 @@
-// Все возможные способы инициализации поцедурной переменной
-// Процедурный тип реализован через делегаты .NET, для него доступны операции +=, -=
-
-procedure pp;
-begin
-  writeln('Вызов обычной процедуры');
-end;
-
-type 
-  A = class
-  private
-    x: integer;
-  public  
-    constructor Create(xx: integer);
-    begin
-      x := xx;
-    end;
-    procedure pp;
-    begin
-      writeln('Вызов метода класса, значение поля равно ',x);
-    end;
-    class procedure ppstatic; 
-    begin
-      writeln('Вызов классового метода класса');
-    end;
-  end;
-
-var p: procedure;
-
-begin
-  p := pp;
-  var a1: A := new A(5);
-  p += a1.pp;
-  p += A.ppstatic;
-  p;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Students.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Students.pas
deleted file mode 100644
index 1bb0dc994..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/Students.pas
+++ /dev/null
@@ -1,39 +0,0 @@
-//Перегрузка операторов
-type 
-  Student = class
-    Name: string;
-    Height: integer;
-  public
-    constructor(Name: string; Height: integer);
-    begin
-      Self.Name := Name;
-      Self.Height := Height;
-    end;
-    class function operator<(left,right: Student): boolean; 
-    // Сравнение по росту
-    begin
-      Result := left.Height < right.Height;
-    end;
-    class function operator>(left,right: Student): boolean; 
-    begin
-      Result := left.Height > right.Height;
-    end;
-    function ToString: string; override;
-    begin
-      Result := string.Format('{0} ({1})', Name, Height);
-    end;
-  end;
-
-var
-  s1,s2: Student;
-
-begin
-  s1 := new Student('Stepa Morkovkin',188);
-  s2 := new Student('Petya Pomidorov',180);
-  Writeln('s1: ',s1);
-  Writeln('s2: ',s2);
-  Writeln;
-  Writeln('s1<s2: ',s1<s2);
-  //
-  Writeln('Student.operator>(s1,s2): ',Student.operator>(s1,s2));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/TemplatePair.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/TemplatePair.pas
deleted file mode 100644
index 34728301e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/TemplatePair.pas
+++ /dev/null
@@ -1,39 +0,0 @@
-// Иллюстрация шаблонов классов в стиле C++ (template)
-type
-  /// Пара объектов
-  Pair<T, Q> = template class
-  public
-    First: T;
-    Second: Q;
-    constructor (First: T; Second: Q);
-    begin
-      Self.First := First;
-      Self.Second := Second;
-    end;
-    function ToString: string; override;
-    begin
-      Result := Format('({0}; {1})', First, Second);
-    end;
-  end;
-  
-  /// Пара объектов, каждый из которых можно складывать с объектом того же типа
-  PairForPlus<T, Q> = template class(Pair<T,Q>)
-  public
-    class function operator+(Left,Right: PairForPlus<T,Q>): PairForPlus<T,Q>; 
-  end;
-
-class function PairForPlus<T, Q>.operator+(Left,Right: PairForPlus<T,Q>): PairForPlus<T,Q>;
-begin
-  Result := new PairForPlus<T,Q>(Left.First + Right.First, Left.Second + Right.Second);
-end;
-
-var
-  r: Pair<real,real> := new Pair<real,real>(3.14,2.8);
-  a,b: PairForPlus<integer,string>;
-  
-begin
-  a := new PairForPlus<integer,string>(1, 'один+');
-  b := new PairForPlus<integer,string>(2, 'два');
-  Writeln(r);
-  Writeln(a + b);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/WriteRecord.pas b/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/WriteRecord.pas
deleted file mode 100644
index d35db749a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/LanguageFeatures/WriteRecord.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-// Иллюстрация конструкторов и методов в записях
-// Если переопределен метод ToString, то он вызывается при выводе объекта этого типа процедурой writeln 
-type
-  SexType = (Male, Female);
-  Person = record
-    Name: string;
-    Age, Weight: integer;
-    Sex: SexType;
-    constructor (Name: string; Age, Weight: integer; Sex: SexType);
-    begin
-      Self.Name := Name;
-      Self.Age := Age;
-      Self.Sex := Sex;
-      Self.Weight := Weight;
-    end;
-    function ToString: string; override;
-    begin
-      Result := string.Format('Имя: {0}   Возраст: {1}   Вес: {2}   Пол: {3}', Name, Age, Weight, Sex);
-    end;
-  end;
-  
-var p: Person := new Person('Иванов',20,70,SexType.Male);
-
-begin
-  writeln(p);
-end.  
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Array/SystemArray1.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Array/SystemArray1.pas
deleted file mode 100644
index 2bce6941d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Array/SystemArray1.pas
+++ /dev/null
@@ -1,37 +0,0 @@
-Uses System, PABCSystem;
-
-const Size = 10;
-
-procedure PrintArray<T>(a: array of T);
-begin
-  foreach v: T in a do
-    Write(v, ' ');
-  Writeln;
-end;    
-
-var a: array of integer;
-
-begin
-  SetLength(a, Size);
-  // Заполнение массива
-  for var i:=0 to a.Length-1 do
-    a[i] := Random(100);
-  
-  // Вывод всех элементов массива
-  PrintArray(a);
-  
-  // Сортировка массива (знак & используется для того,
-  // чтобы воспользоваться ключевым словом array при обозначении класса Array)
-  &Array.Sort(a);
-
-  PrintArray(a);
-
-  // Обращение массива
-  &Array.Reverse(a);
-
-  PrintArray(a);
-
-  // Поиск вхождения элемента в массив
-  var i := &Array.IndexOf(a, 99);
-  Writeln(i);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTime1.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTime1.pas
deleted file mode 100644
index 9832b1c44..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTime1.pas
+++ /dev/null
@@ -1,32 +0,0 @@
-Uses System;
-
-var 
-  d1, d2, d3: DateTime; // Объекты для хранения даты и времени
-  ts: TimeSpan; // Объект для хранения промежутков времени
-
-begin
-  // Получение текущей даты - вызов статического метода
-  d1 := DateTime.Now; 
-  Writeln(d1);
-  
-  // Дата и время через один месяц
-  d2 := d1.AddMonths(1);
-  Writeln(d2);
-
-  // Дата и время на 12 часов раньше
-  d2 := d1.AddHours(-12);
-  Writeln(d2);
-
-  // Формирование даты - вызов конструктора объекта (год, месяц,число)
-  d3 := new DateTime(2001, 1, 1);
-  Writeln(d3);
-  
-  // Определение времени, прошедшего с начала тысячелетия (разность дат)
-  ts := d1.Subtract(d3);
-
-  // Промежуток времени в днях (результат - вещественное число)
-  Writeln(ts.TotalDays);
-  
-  // Промежуток времени в днях, часах, минутах и секундах
-  WritelnFormat('{0} {1}:{2}:{3}',ts.Days,ts.Hours,ts.Minutes,ts.Seconds);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTime2.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTime2.pas
deleted file mode 100644
index f444870fc..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTime2.pas
+++ /dev/null
@@ -1,34 +0,0 @@
-Uses System;
-
-var 
-  d: DateTime;
-  s: string;
-
-begin
-  s := '27.03.2008 9:58:17';
-  //Попытка преобразования строки в объект DateTime
-  if not DateTime.TryParse(s, d) then
-  begin
-    Writeln('Строка не содержит значение даты и времени');
-    Exit;
-  end;
-
-  //  Проверка високосности заданного года с помощью статического метода
-  if DateTime.IsLeapYear(d.Year) then
-     Writeln('Год високосный')
-  else
-     Writeln('Год невисокосный');
-  
-  // Преобразование даты и времени в строковое представление
-  s := d.ToString;
-  Writeln(s);
-  
-  // Преобразование даты в строковое представление
-  s := d.ToShortDateString;
-  Writeln(s);
-
-  // Преобразование времени в строковое представление
-  s := d.ToShortTimeString;
-  Writeln(s);
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTimeInterval.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTimeInterval.pas
deleted file mode 100644
index b7afdf928..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.DateTime/DateTimeInterval.pas
+++ /dev/null
@@ -1,16 +0,0 @@
-// Работа с классом System.DateTime
-// Вычисление времени выполнения фрагмента кода
-
-uses System, PABCSystem;
-
-var dt: DateTime := DateTime.Now;
-
-begin
-  // Делаем случайную паузу
-  var ms := Random(1000);
-  Writeln('Sleep','(',ms,')');
-  Sleep(ms);
-  
-  // Сравниваем с показаниями DateTime.Now
-  Writeln((DateTime.Now-dt).TotalMilliseconds,'ms');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringConvert.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringConvert.pas
deleted file mode 100644
index fe2a5b8a6..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringConvert.pas
+++ /dev/null
@@ -1,25 +0,0 @@
-var 
-  s: string;
-  i: integer;
-  r: real;
-
-begin
-  // Преобразование строки в число
-  s := '123,3443'; // Дробная часть отделяется запятой - настройки Windows
-  if not real.TryParse(s, r) then
-    Writeln('Строка s не является строковым представлением вещественного числа')
-  else Writeln(r);
-     
-  if not integer.TryParse(s, i) then
-    Writeln('Строка s не является строковым представлением целого числа');
-     
-  // Преобразование числа в строку
-  i := 10;
-  s := i.ToString;
-  Writeln(s);
-  
-  s := '';
-  for i:=1 to 9 do
-    s += i.ToString;
-  Writeln(s);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringMethods1.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringMethods1.pas
deleted file mode 100644
index b0db02e3c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringMethods1.pas
+++ /dev/null
@@ -1,30 +0,0 @@
-var s1,s2: string;
-
-begin
-  // Определение длины строки
-  s1 := 'ABCDEFGH';
-  Writeln(s1.Length);
-
-  // Сравнение строк без учета регистра символов
-  s1 := 'AAA';
-  s2 := 'aaa';
-  if String.Compare(s1, s2, {ignoreCase - без учета регистра} true) = 0 then
-    Writeln('Строки совпадают с точностью до регистра букв');
-  
-  // Определение вхождений подстрок
-  s1 := 'Long string';
-  s2 := 'string';
-  if s1.EndsWith(s2) then
-    Writeln('В конце строки s1 содержится подстрока, совпадающая с s2');
-    
-  // Поиск индекса вхождения подстроки в строку
-  Writeln(s1.IndexOf(s2));
-    
-  // Извлечение подстрок
-  s1 := 'ABCDEFGH';
-  s2 := s1.Substring( {начальная_позиция = } 3);
-  Writeln(s2);
-  
-  s2 := s1.Substring(3, {длина_подстроки = } 2);
-  Writeln(s2);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringMethods2.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringMethods2.pas
deleted file mode 100644
index 13cc3e57e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringMethods2.pas
+++ /dev/null
@@ -1,37 +0,0 @@
-var s1,s2: string;
-
-begin
-  // Извлечение подстрок
-  s1 := 'ABCDEFGH';
-  s2 := s1.Substring( {начальная_позиция = } 3);
-  Writeln(s2);
-  
-  s2 := s1.Substring(3, {длина_подстроки = } 2);
-  Writeln(s2);
-  
-  // Вставка, удаление и замена подстрок
-  s1 := 'ABCDEFGH';
-  s2 := s1.Insert(2, 'xxx');
-  Writeln(s2);
-  
-  s2 := s2.Replace('x', '!');
-  Writeln(s2);
-  
-  s2 := s2.Remove(2, 3);
-  Writeln(s2);
-  
-  s1 := 'слово слово слово';
-  s2 := s1.Replace('слов', 'молок');
-  Writeln(s2);
-  
-  // Удаление пробельных символов в концах строки
-  s1 := '    xxx  xxx    ';
-  Writeln('|', s1, '|');
-  s1 := s1.Trim;
-  Writeln('|', s1, '|');
-  
-  // Смена регистра символов
-  s1 := 'абвгд';
-  s1 := s1.ToUpper;
-  Writeln(s1);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringSplit.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringSplit.pas
deleted file mode 100644
index 184c12c2e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.String/StringSplit.pas
+++ /dev/null
@@ -1,26 +0,0 @@
-uses System;
-
-var 
-  str_arr: array of string;
-  int_arr: array of integer;
-  s: string := '12 765 765 76';
-    
-begin
-  // Разбиение строки на массив подстрок с заданным разелителем
-  str_arr := s.Split(' ');
-  
-  // Соединение массива подстрок с новым разделителем
-  s := string.Join('+', str_arr);
-  Write(s, '=');
-  
-  // Формирование целочисленного массива по массиву подстрок
-  SetLength(int_arr, str_arr.Length);
-  for var i:=0 to int_arr.Length-1 do
-    integer.TryParse(str_arr[i], int_arr[i]);
-  
-  // Вычисление суммы элементов целочисленного массива
-  var sum := 0;
-  foreach v: integer in int_arr do
-    sum += v;
-  Writeln(sum);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Timers.Timer/SystemTimer.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Timers.Timer/SystemTimer.pas
deleted file mode 100644
index 8223bd886..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Timers.Timer/SystemTimer.pas
+++ /dev/null
@@ -1,31 +0,0 @@
-//События, +=, -=, демонстрация работы таймера System.Timers.Timer
-uses System;
-
-var Timer:System.Timers.Timer;
-    x:integer;
-    exit:boolean;
-
-procedure OnTimer2(sender:object; e:System.Timers.ElapsedEventArgs);
-begin
-  Writeln(x);
-  x:=x+1;
-  exit:=x>=10;
-end;
-procedure OnTimer1(sender:object; e:System.Timers.ElapsedEventArgs);
-begin
-  Writeln(e.SignalTime);
-  x:=x+1;
-  if x>=5 then begin
-    Timer.Elapsed-=OnTimer1;
-    Timer.Elapsed+=OnTimer2;
-  end;
-end;
-
-begin
-  Exit:=false;
-  Timer:=System.Timers.Timer.Create(1000);
-  Timer.Elapsed+=OnTimer1;
-  Timer.Start;
-  while not exit do 
-    Sleep(Round(Timer.Interval));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/FormWebBrowser.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/FormWebBrowser.pas
deleted file mode 100644
index 840d6506d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/FormWebBrowser.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Иллюстрация использования компонента WebBrowser
-{$apptype windows}
-{$reference System.Windows.Forms.dll}
-
-uses 
-  System.Windows.Forms,
-  System.Net;
-
-begin
-  var myForm := new Form; 
-  var w := new WebBrowser;
-  w.Url := new System.Uri('http://pascalabc.net');
-  w.Dock := Dockstyle.Fill; 
-  myForm.Controls.Add(w);
-  myForm.WindowState := FormWindowState.Maximized; 
-  Application.Run(myForm);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/MouseDraw.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/MouseDraw.pas
deleted file mode 100644
index 139865687..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/MouseDraw.pas
+++ /dev/null
@@ -1,52 +0,0 @@
-// Рисование мышью на форме. Иллюстрация Windows.Forms, событий
-{$apptype windows}
-{$reference System.Windows.Forms.dll}
-{$reference System.Drawing.dll}
-
-uses 
-  System, 
-  System.Drawing, 
-  System.Windows.Forms;
-
-type
-  MyForm = class(Form)
-  private
-    g: Graphics;
-    // Предыдущие координаты мыши
-    x,y: integer;
-  public  
-    constructor;
-    begin
-      Size := new System.Drawing.Size(640,480);
-      StartPosition := FormStartPosition.CenterScreen;
-      Text := 'Рисование мышью на форме';
-      // Привязка обработчиков к событиям
-      MouseDown	+= OnMouseDown;
-      MouseMove	+= OnMouseMove;
-      Resize	+= OnResize;
-      g := Graphics.FromHwnd(Handle);
-    end;
-    procedure OnMouseDown(sender: object; e: MouseEventArgs);
-    begin
-      x := e.x;
-      y := e.y;
-    end; 
-    procedure OnMouseMove(sender: object; e: MouseEventArgs);
-    begin
-      if e.Button = System.Windows.Forms.MouseButtons.Left then 
-      begin
-        g.DrawLine(new Pen(Color.FromARGB(PABCSystem.Random(255),PABCSystem.Random(255),PABCSystem.Random(255))),x,y,e.x,e.y);
-        x := e.x;
-        y := e.y;
-        writeln(e.x,' ',e.y);
-      end;
-    end; 
-    procedure OnResize(sender: object; e: EventArgs);
-    begin
-      g := Graphics.FromHwnd(Handle);
-    end;
-  end;
-    
-begin
-  Application.Run(new MyForm);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Open.png b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Open.png
deleted file mode 100644
index 6380ba958..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Open.png and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Save.png b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Save.png
deleted file mode 100644
index 8262de3ae..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Save.png and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/TextEditor.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/TextEditor.pas
deleted file mode 100644
index c544ac9d8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/TextEditor.pas
+++ /dev/null
@@ -1,91 +0,0 @@
-{$apptype windows}
-{$reference System.Windows.Forms.dll}
-{$reference System.Drawing.dll}
-{$resource Open.png}
-{$resource Save.png}
-
-uses System.Windows.Forms;
-
-const 
-  TextFileExt = 'txt';
-  TextFileFilter = 'Текстовые файлы (*.'+TextFileExt+')|*.'+TextFileExt;
-
-var
-  myForm: Form;
-  TextBox1: TextBox;
-
-procedure SaveFile(FileName: string);
-begin
-  //Создаем файловый поток с кодировкой Windows 1251, необходимо для корректного сохранения русских букв
-  var f := new System.IO.StreamWriter(FileName, false, System.Text.Encoding.Default);
-  f.Write(TextBox1.Text);
-  f.Close;
-end;
-
-procedure OpenFile(FileName: string);
-begin
-  //Создаем файловый поток с кодировкой Windows 1251, необходимо для корректного чтения русских букв
-  var f := new System.IO.StreamReader(FileName, System.Text.Encoding.Default);
-  TextBox1.Text := f.ReadToEnd;
-  f.Close;
-end;
-
-procedure FormClose(sender: object; args: System.EventArgs);
-begin
-  myForm.Close;  
-end;
-
-procedure MenuSaveClick(sender:object; args:System.EventArgs);
-begin
-  //Диалог для выбора файла
-  var sd := new SaveFileDialog;
-  //Расширение поумолчанию
-  sd.DefaultExt := TextFileExt;
-  //Фильтр для диалга
-  sd.Filter := TextFileFilter;
-  if sd.ShowDialog=DialogResult.OK then 
-    //если результат выполнения sd.ShowDialog это нажатие кнопки подтверждения то
-    SaveFile(sd.FileName);
-end;
-
-procedure MenuOpenClick(sender:object; args:System.EventArgs);
-begin
-  var sd := new OpenFileDialog;
-  sd.DefaultExt := TextFileExt;
-  sd.Filter := TextFileFilter;
-  if sd.ShowDialog = DialogResult.OK then 
-    OpenFile(sd.FileName);
-end;
-
-begin
-  myForm := new Form;
-  myForm.Text := 'Простой текстовый редактор';
-
-  TextBox1 := new TextBox;
-  TextBox1.Multiline := True;
-  TextBox1.Height := 100;
-  TextBox1.Dock := DockStyle.Fill;
-  //Полосы прокрутки
-  TextBox1.ScrollBars := ScrollBars.Both;
-  //Устанавливаем шрифт
-  TextBox1.Font := new System.Drawing.Font('Courier New',10);
-
-  myForm.Controls.Add(TextBox1);
-  
-  //Создаем меню
-  var toolStrip1 := new ToolStrip;
-  toolStrip1.GripStyle := System.Windows.Forms.ToolStripGripStyle.Hidden;
-  var miFile := new ToolStripMenuItem('Файл');  
-  miFile.DropDownItems.Add(new ToolStripMenuItem('Открыть',         new System.Drawing.Bitmap(GetResourceStream('Open.png')),MenuOpenClick));
-  miFile.DropDownItems.Add(new ToolStripMenuItem('Сохранить как...',new System.Drawing.Bitmap(GetResourceStream('Save.png')),MenuSaveClick));
-  miFile.DropDownItems.Add(new ToolStripMenuItem('Выход',nil,FormClose));
-  toolStrip1.Items.Add(miFile);
-  myForm.Controls.Add(toolStrip1);
-  
-  //Посмотрим в аргументы командной строки
-  //Если их количество = 1, то открываем 
-  if CommandLineArgs.Length = 1 then 
-    OpenFile(CommandLineArgs[0]);
-      
-  Application.Run(myForm);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Thumbs.db b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Thumbs.db
deleted file mode 100644
index 39ac489fd..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/TextEditor/Thumbs.db and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/WinFormWithButton.pas b/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/WinFormWithButton.pas
deleted file mode 100644
index a0f0c2c8c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/NETLibraries/System.Windows.Forms/WinFormWithButton.pas
+++ /dev/null
@@ -1,29 +0,0 @@
-// Создание оконного приложения
-{$apptype windows}
-{$reference System.Windows.Forms.dll}
-
-uses 
-  System,
-  System.Windows.Forms;
-
-var 
-  myForm: Form;
-  myButton: Button;
-  
-procedure MyButtonClick(sender: Object; e: EventArgs);
-begin
-  myForm.Close;
-end;
-
-begin
-  myForm := new Form;
-  myForm.Text := 'Оконное приложение';
-  myButton := new Button;
-  myButton.Text := '  Закрыть окно  ';
-  myButton.AutoSize := True;
-  myButton.Left := 90;
-  myButton.Top := 110;
-  myForm.Controls.Add(myButton);
-  myButton.Click += MyButtonClick;
-  Application.Run(myForm);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/CalculationsGlobalLocal/BlockVars.pas b/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/CalculationsGlobalLocal/BlockVars.pas
deleted file mode 100644
index 4f8bcf2ab..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/CalculationsGlobalLocal/BlockVars.pas
+++ /dev/null
@@ -1,15 +0,0 @@
-// Сравнение скорости работы глобальных и внутриблочных переменных.
-// См. также файл GlobalVars.pas
-uses Utils;
-
-begin
-  var s := 0.0;
-  var i: real := 1;
-  while i<10000000 do
-  begin
-    s += 1/i;
-    i += 1;
-  end;  
-  writeln(s);
-  writeln('Время расчета = ',Milliseconds/1000,' с');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/CalculationsGlobalLocal/GlobalVars.pas b/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/CalculationsGlobalLocal/GlobalVars.pas
deleted file mode 100644
index 6cd714a35..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/CalculationsGlobalLocal/GlobalVars.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Сравнение скорости работы глобальных и внутриблочных переменных.
-// См. также файл BlockVars.pas
-uses Utils;
-
-var 
-  s: real := 0; 
-  i: real := 1;
-
-begin
-  while i<10000000 do
-  begin
-    s += 1/i;
-    i += 1;
-  end;  
-  writeln(s);
-  writeln('Время расчета = ',Milliseconds/1000,' с');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/Milli.pas b/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/Milli.pas
deleted file mode 100644
index 92f5c8d9f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Other/SpeedTests/Milli.pas
+++ /dev/null
@@ -1,13 +0,0 @@
-// Демонстрация функции Milliseconds
-uses Utils;
-
-const n = 5000;
-
-var a: array [1..n,1..n] of real;
-
-begin
-  for var i:=1 to n do
-  for var j:=1 to n do
-    a[i,j] := 1;
-  writeln(Milliseconds/1000);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/GraphTest.dll b/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/GraphTest.dll
deleted file mode 100644
index 7740869f9..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/GraphTest.dll and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/Mand.pas b/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/Mand.pas
deleted file mode 100644
index 846547d33..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/Mand.pas
+++ /dev/null
@@ -1,50 +0,0 @@
-{
-Для создания dll:
-1. Откомпилируйте проект \GraphTest\GraphTest.dpr с помощью Delphi
-2. Запустите файл \GraphTest\copy_up.bat
-}
-
-procedure SetWindowSize(width, height : integer); 	external 'GraphTest.dll' name 'SetWindowSize';
-procedure WaitForExit; 								external 'GraphTest.dll' name 'WaitForExit';
-procedure PutPixel(x,y,color : integer);			external 'GraphTest.dll' name 'PutPixel';
-procedure SetColor(a : integer); 					external 'GraphTest.dll' name 'SetColor';
-function RGB(red, green, blue : integer) : integer; external 'GraphTest.dll' name 'RGB';
-{function RGB(r, g, b: integer): integer;
-begin
-  Result := (r or (g shl 8) or (b shl 16));
-end;{}
-
-const
-  n=255;
-  max=10;
-
-var
-  x,y,x1,y1,cx,cy: real;
-  i,ix,iy: integer;
-  clRed:integer;
-// z=z^2+c
-begin
-  clRed:=RGB(255,0,0);
-  SetWindowSize(400,300);
-  for ix:=0 to 399 do
-  for iy:=0 to 299 do
-  begin
-    x:=0;
-    y:=0;
-    cx:=0.002*(ix-720);
-    cy:=0.002*(iy-150);
-    for i:=1 to n do
-    begin
-      x1:=x*x-y*y+cx;
-      y1:=2*x*y+cy;
-      if (x1>max) or (y1>max) then break;
-      x:=x1;
-      y:=y1;
-    end;
-    if i>=n then PutPixel(ix,iy,clRed)
-      else PutPixel(ix,iy,RGB(255,255-i,255-i));
-    //writeln(RGB(255,255-i,255-i));
-  end;
-  WaitForExit;
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/MessageBox.pas b/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/MessageBox.pas
deleted file mode 100644
index df7998740..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/Other/UnmanagedGraphics/MessageBox.pas
+++ /dev/null
@@ -1,6 +0,0 @@
-function MessageBox(h:integer;m,c:string;t:integer):integer;
-external 'User32.dll' name 'MessageBox';
-
-begin
-  MessageBox(0,'Привет!','Сообщение',0);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi1.bmp b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi1.bmp
deleted file mode 100644
index 72ae1e4c9..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi1.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi2.bmp b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi2.bmp
deleted file mode 100644
index b6e9bae3b..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi2.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi3.bmp b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi3.bmp
deleted file mode 100644
index 83528854d..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi3.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi4.bmp b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi4.bmp
deleted file mode 100644
index e09763489..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi4.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi5.bmp b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi5.bmp
deleted file mode 100644
index 727d82170..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/SpriteFrames/multi5.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/gr_SpriteCreation.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/gr_SpriteCreation.pas
deleted file mode 100644
index efe2a13cd..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/gr_SpriteCreation.pas
+++ /dev/null
@@ -1,29 +0,0 @@
-// Создание спрайта и его состояний
-uses GraphABC,ABCSprites,ABCObjects,Events;
-
-var s: SpriteABC;
-
-begin
-  Window.Title := 'Создание спрайта';
-  SetWindowSize(400,300);
-  CenterWindow;
-  
-  // Создание спрайта и добавление в него кадров
-  s := new SpriteABC(150,100,'SpriteFrames\multi1.bmp');
-  s.Add('SpriteFrames\multi2.bmp');
-  s.Add('SpriteFrames\multi3.bmp');
-  s.Add('SpriteFrames\multi2.bmp');
-  s.Add('SpriteFrames\multi4.bmp');
-  s.Add('SpriteFrames\multi5.bmp');
-  
-  // Добавление состояний к спрайту
-  s.AddState('fly',4); // Летать - 4 кадра
-  s.AddState('stand',1); // Стоять - 1 кадр
-  s.AddState('sit',1); // Сидеть - 1 кадр
-  
-  // Задание скорости спрайт-анимации (1..10)
-  s.Speed := 9;
-  
-  // Сохранение спрайта в "длинный" рисунок и создание информационного файла спрайта
-  s.SaveWithInfo('spr.png');
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/gr_SpriteUsing.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/gr_SpriteUsing.pas
deleted file mode 100644
index df48901ad..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/gr_SpriteUsing.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Переключение состояний спрайта щелчком мыши
-uses GraphABC,ABCSprites,ABCObjects,Events;
-
-var
-  s: SpriteABC;
-  t: TextABC;
-
-procedure MyMouseDown(x,y,mb: integer);
-begin
-  if s.PtInside(x,y) then
-  begin
-    // Переход к следующему состоянию спрайта
-    if s.State<s.StateCount then
-      s.State := s.State + 1
-    else s.State := 1;
-    t.Text := 'Состояние спрайта: ' + s.StateName;
-  end;
-end;
-  
-begin
-  Window.Title := 'Щелкните мышью на спрайте';
-  SetWindowSize(400,300);
-  CenterWindow;
-  s := new SpriteABC(150,100,'spr.spinf');
-  t := new TextABC(55,30,15,'Состояние спрайта: '+s.StateName,clRed);
-  OnMouseDown := MyMouseDown;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/spr.png b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/spr.png
deleted file mode 100644
index defc3c471..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/spr.png and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/spr.spinf b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/spr.spinf
deleted file mode 100644
index 10728ef7e..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/Sprites/spr.spinf
+++ /dev/null
@@ -1,7 +0,0 @@
-spr.png // ��� ����� �������
-100 // ������ �����
-9 // ��������
-3 // ���������� ���������
-fly 4 // ����� ��������� � ���������� ������ � ���
-stand 1
-sit 1
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/demo.bmp b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/demo.bmp
deleted file mode 100644
index 632f78e19..000000000
Binary files a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/demo.bmp and /dev/null differ
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_All_Brown.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_All_Brown.pas
deleted file mode 100644
index fe170930f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_All_Brown.pas
+++ /dev/null
@@ -1,43 +0,0 @@
-// Изменение свойств графических объектов
-// Броуновское движение графических объектов
-uses ABCObjects,GraphABC;
-
-procedure MoveAll(a,b: integer);
-begin
-  for var j:=0 to Objects.Count-1 do
-    Objects[j].moveOn(a,b);
-end;
-
-begin
-//  LockDrawingObjects;
-  Window.Title := 'Броуновское движение объектов';
-  var sq := new SquareABC(30,5,90,clSkyBlue);
-  var r := new RectangleABC(10,10,100,180,RGB(255,100,100));
-  var rr := new RoundRectABC(200,180,180,50,20,clRandom);
-  var rsq:= new RoundSquareABC(20,180,80,10,clRandom);
-  var c := new CircleABC(160,55,70,clGreen);
-  var z := new StarABC(200,150,70,135,5,clRandom);
-  z.Filled := False;
-  var el := new EllipseABC(5,55,65,50,clRandom);
-  el.Bordered := False;
-  var t := new TextABC(100,170,15,'Hello, ABCObjects!');
-  var br := new BoardABC(200,20,7,5,20,20);
-  br.Filled := False;
-  z.Height := 200;
-  z.Radius := 70;
-  sq.Width := 120;
-  t.TransparentBackground := False;
-  t.BackgroundColor := clYellow;
-  t.FontName := 'Times New Roman';
-  t.FontSize := 20;
-  c.Height := 50;
-  c.Scale(2);
-  MoveAll(160,110);
-  
-  while True do
-  begin
-    for var j:=0 to Objects.Count-1 do
-      Objects[j].moveOn(Random(-1,1),Random(-1,1));
-//    RedrawObjects;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Clone_Recur.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Clone_Recur.pas
deleted file mode 100644
index 3420ac241..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Clone_Recur.pas
+++ /dev/null
@@ -1,31 +0,0 @@
-// Клонирование графических объектов. 
-// Контейнер графических объектов. Вложенные контейнеры
-uses GraphABC,ABCObjects;
-
-/// Создание четырех графических объектов из одного
-procedure Four(var g: ObjectABC);
-begin
-  var w := 8*g.Width div 7;
-  var f := ContainerABC.Create(0,0);
-  f.Add(g);
-  g := g.Clone;;
-  g.moveon(w,0);
-  g := g.Clone;
-  g.moveon(0,w);
-  g := g.Clone;
-  g.moveon(-w,0);
-  g := f;
-end;
-
-begin
-  LockDrawingObjects;
-  SetWindowSize(630,630);
-  
-  var g: ObjectABC := new SquareABC(0,0,14,clYellow);
-  Four(g);
-  Four(g);
-  Four(g);
-  Four(g);
-  Four(g);
-  UnLockDrawingObjects;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_DragPicture.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_DragPicture.pas
deleted file mode 100644
index 66d51fb67..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_DragPicture.pas
+++ /dev/null
@@ -1,40 +0,0 @@
-// Передвижение графических объектов мышью
-uses ABCObjects,GraphABC;
-
-var 
-  ob: ObjectABC;
-  sx,sy: integer;
-
-procedure MyMouseDown(x,y,mb: integer);
-begin
-  ob := ObjectUnderPoint(x,y);
-  if ob<>nil then
-  begin
-    sx := ob.Left - x;
-    sy := ob.Top - y;
-  end; 
-end;
-
-procedure MyMouseMove(x,y,mb: integer);
-begin
-  if ob<>nil then
-    ob.Position := new Point(x+sx,y+sy);
-end;
-
-procedure MyMouseUp(x,y,mb: integer);
-begin
-  ob := nil;
-end;
-
-
-begin
-  Window.Title := 'Передвигайте мышью объекты';
-  for var i:=1 to 10 do
-  begin
-    var p := new PictureABC(Random(Window.Width-100),Random(Window.Height-100),'demo.bmp');
-    p.Transparent := True;
-  end;  
-  OnMouseDown := MyMouseDown;
-  OnMouseMove := MyMouseMove;
-  OnMouseUp := MyMouseUp;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Intersect.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Intersect.pas
deleted file mode 100644
index 243b5bb48..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Intersect.pas
+++ /dev/null
@@ -1,28 +0,0 @@
-// Иллюстрация метода Intersect для графических объектов
-uses ABCObjects,GraphABC;
-
-var Destroyer: CircleABC;
-
-procedure CheckPulyaIntersects;
-begin
-  for var i:=Objects.Count-1 downto 0 do
-  begin
-    if (Destroyer.Intersect(Objects[i])) and (Objects[i]<>Destroyer) then
-      Objects[i].Destroy;
-  end;    
-end;
-
-begin
-  Window.Title := 'Разрушитель: метод Intersect пересечения объектов';
-  for var i:=1 to 500 do
-    new RectangleABC(Random(WindowWidth-200)+100,Random(WindowHeight-100),Random(200),Random(200),clRandom);
-  Destroyer := new CircleABC(10,WindowHeight div 2,100,clBlack);
-  Destroyer.FontColor := clYellow;
-  Destroyer.Text := 'Destroyer';
-
-  for var i:=1 to 900 do
-  begin
-    Destroyer.MoveOn(1,0);
-    CheckPulyaIntersects;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Move_Param.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Move_Param.pas
deleted file mode 100644
index 1b2c1f8c4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Move_Param.pas
+++ /dev/null
@@ -1,70 +0,0 @@
-// Движение по траектории
-uses ABCObjects,GraphABC;
-
-const
-/// Шаг по параметру кривой
-  step = 0.03;
-/// Задержка по времени, мс
-  delay = 10;
-
-type
-  PointR = record
-    x,y: real;
-  end;
-
-function Position(t: real): PointR; // астроида
-begin
-  var si := sin(1.5 * t);
-  var co := cos(1.5 * t);
-  Result.x := si*si*si;
-  Result.y := co*co*co;
-end;
-
-function Position1(t: real): PointR; // фигура Лиссажу
-begin
-  Result.x := cos(4*t);
-  Result.y := cos(2.97221*t + 2*Pi/3);
-end;
-
-function LogicalToScreen(p: PointR): Point;
-begin
-  var ww := WindowWidth div 2;
-  var hh := WindowHeight div 2;
-  Result.x := round((ww - 50) * p.x + ww);
-  Result.y := round((hh - 50) * p.y + hh);
-end;
-
-procedure InitScreen;
-begin
-  SetBrushColor(clMoneyGreen);
-  Rectangle(10,10,WindowWidth-10,WindowHeight-10);
-  var p := LogicalToScreen(Position1(0));
-  MoveTo(p.x,p.y);
-end;
-
-begin
-  Window.IsFixedSize := True;
-  Window.Title := 'Движение по траектории';
-  SetWindowSize(640,480);
-  CenterWindow;
-
-  InitScreen;
-  var c := new CircleABC(200,200,25,clGreen);
-  var d := new StarABC(200,200,40,20,5,clYellow);
-
-  var t: real := 0;
-  while True do
-  begin
-    c.Center := LogicalToScreen(Position1(t));
-    d.Center := LogicalToScreen(Position(t));
-    if t<20*Pi then
-      LineTo(c.Center.x,c.Center.y)
-    else
-    begin
-      t := 0;
-      InitScreen;
-    end;
-    t += step;
-    Sleep(delay);
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_MovingObjects.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_MovingObjects.pas
deleted file mode 100644
index 9f1f6834d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_MovingObjects.pas
+++ /dev/null
@@ -1,51 +0,0 @@
-uses ABCObjects,GraphABC,Utils;
-
-const 
-/// Количество графических объектов
-  Count = 300;
-/// Флаг ускорения анимации
-  AnimationIsFast = True;
-  
-/// Возвращает случайный графический объект
-function NewRandomABC: ObjectABC;
-begin
-  case Random(3) of
-0: Result := new CircleABC(Random(WindowWidth-30)+10,Random(WindowHeight-30)+10,Random(10)+5,clRandom);
-1: Result := new RectangleABC(Random(WindowWidth-30)+10,Random(WindowHeight-30)+10,Random(20)+10,Random(20)+10,clRandom);
-2: Result := new StarABC(Random(WindowWidth-30)+10,Random(WindowHeight-30)+10,Random(20)+10,Random(10)+5,Random(4)+4,clRandom);
-  end;
-end;
-
-/// Передвигает графический объект с отражением его от стенок
-procedure Move(o: ObjectABC);
-begin
-  o.Move;
-  if (o.Left<0) or (o.Left+o.Width>WindowWidth) then
-    o.dx := -o.dx;
-  if (o.Top<0) or (o.Top+o.Height>WindowHeight) then
-    o.dy := -o.dy;
-end;
-
-begin
-  Window.Title := 'Движущиеся объекты';
-  if AnimationIsFast then
-    LockDrawingObjects;
-  for var i:=1 to Count do
-  begin
-    var m: ObjectABC := NewRandomABC;
-    repeat
-      m.dx := Random(-3,3);
-      m.dy := Random(-3,3);
-    until (m.dx<>0) and (m.dy<>0);
-  end;
-  var k := 1;
-  while True do
-  begin
-    for var i:=0 to Objects.Count-1 do
-      Move(Objects[i]);
-    if AnimationIsFast then
-      RedrawObjects;
-    k += 1;
-    Window.Title := Format('{0,5:f2}',k/Milliseconds*1000)+' кадров в секунду';
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_PictureScale.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_PictureScale.pas
deleted file mode 100644
index 03ba24b3d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_PictureScale.pas
+++ /dev/null
@@ -1,38 +0,0 @@
-// Свойства ScaleX и ScaleY класса PictureABC
-uses ABCObjects,GraphABC;
-
-const delay = 2;
-
-var p: PictureABC;
-
-begin
-  Window.Title := 'Движение и масштабирование рисунка по горизонтали';
-  SetWindowSize(640,260);
-  p := PictureABC.Create(100,100,'demo.bmp');
-  while True do
-  begin
-    for var x:=100 to 450 do
-    begin
-      Sleep(delay);
-      p.MoveOn(1,0);
-    end;
-    for var i:=100 downto -100 do
-    begin
-      Sleep(delay);
-      var w := p.Width;
-      p.ScaleX := i/100;
-      p.MoveOn(w - p.Width,0);
-    end;
-    for var x:=450 downto 100 do
-    begin
-      Sleep(delay);
-      p.MoveOn(-1,0);
-    end;
-    for var i:=-100 to 100 do
-    begin
-      Sleep(delay);
-      p.ScaleX:=i/100;
-    end;
-  end;
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_RealNumber.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_RealNumber.pas
deleted file mode 100644
index 726026047..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_RealNumber.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-uses ABCObjects,GraphABC;
-
-const 
-/// отступ по оси x
-  zx = 100;
-/// отступ по оси y
-  zy = 50;
-
-begin
-  Window.IsFixedSize := True;
-  Window.Title := 'Секундомер';
-  var r := new RoundRectABC(zx,zy,Window.Width-2*zx,Window.Height-2*zy,100,clMoneyGreen);
-  r.BorderWidth := 5;
-  r.BorderColor := clGreen;
-  for var i:=1 to 1000 do
-  begin
-    r.RealNumber := i/10;
-    Sleep(100);
-  end;
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_StandardColors.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_StandardColors.pas
deleted file mode 100644
index 2156732e7..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_StandardColors.pas
+++ /dev/null
@@ -1,144 +0,0 @@
-uses 
-  GraphABC,
-  ABCObjects,
-  System.Reflection;
-
-const lim = 127 + 32;
-
-var 
-  CurrentBackColor := clWhite;
-  InfoString: RectangleABC;
-
-procedure ChangeInfoStringText(colorName: string);
-begin
-  var c := Color.FromName(colorName);
-  InfoString.Text := string.Format('Color.{0}: (R: {1}  G: {2}  B: {3})   (H: {4:f1}  S: {5:f1}  B: {6:f1})',colorName,c.R,c.G,c.B,c.GetHue,c.GetSaturation,c.GetBrightness);
-  InfoString.Color := c;
-  if c.R*c.R+c.G*c.G+c.B*c.B <= 3*lim*lim then 
-    InfoString.FontColor := clWhite
-  else InfoString.FontColor := clBlack;
-  if c.A = 0 then 
-   InfoString.FontColor := clGray;
-end;
-
-procedure CreateStandardColors(backColor: Color);
-begin
-  ClearWindow(backColor);
-  var t := typeof(Color);
-  var mi := t.GetProperties();
-  var y := 10;
-  var x := 10;
-  var h := Window.Width div 5 - 11;
-  foreach m: PropertyInfo in mi do
-  begin
-    if m.GetGetMethod(true).IsStatic then
-    begin
-      var c := Color(m.GetValue(nil,nil)); 
-      var r := new RectangleABC(x,y,h,22,c);
-      r.Text := m.Name;
-      r.TextScale := 0.9;
-      r.Bordered := False;
-      if c.R*c.R+c.G*c.G+c.B*c.B <= 3*lim*lim then 
-        r.FontColor := clWhite
-      else r.FontColor := clBlack;
-      if c.A = 0 then 
-        r.FontColor := clGray;
-      y += 25;
-      if y > Window.Height-40 then
-      begin
-        y := 10;
-        x += h + 10;
-      end;  
-    end;
-  end;
-end;
-
-var 
-  ob: ObjectABC;
-  dx,dy: integer;
-
-procedure MouseDown(x,y,mb: integer);
-begin
-  ob := ObjectUnderPoint(x,y);
-  if ob=InfoString then
-    ob := nil;
-  if ob<>nil then
-  begin
-    ob.ToFront;
-    dx := x - ob.Left;
-    dy := y - ob.Top;
-    var c := ob.Color;
-    if (mb=2) then 
-      ob.Scale(2)
-    else ob.Color := Color.FromArgb(128,c.R,c.G,c.B);
-  end;  
-end;
-
-procedure MouseUp(x,y,mb: integer);
-begin
-  if ob<>nil then
-  begin
-    if (mb=2) then 
-      ob.Scale(0.5)
-    else
-    begin
-      var c := ob.Color;
-      if ob.Text = 'Transparent' then
-        ob.Color := Color.FromArgb(0,c.R,c.G,c.B)
-      else ob.Color := Color.FromArgb(255,c.R,c.G,c.B);
-    end;  
-    ob:= nil;
-  end;
-end;
-
-procedure MouseMove(x,y,mb: integer);
-begin
-  if (ob<>nil) and (mb=1) then
-  begin
-    ob.ToFront;
-    ob.Left := x - dx;
-    ob.Top := y - dy;
-  end;
-  if ob=nil then
-  begin
-    InfoString.Text := '';
-    InfoString.Color := CurrentBackColor;
-  end;
-  var ob1 := ObjectUnderPoint(x,y);
-  if ob1=InfoString then
-    ob1 := nil;
-  if (ob1<>nil) and (mb=0) then
-    ChangeInfoStringText(ob1.Text);
-end;
-
-procedure KeyDown(Key: integer);
-begin
-  if Key=vk_Space then
-  begin
-    if CurrentBackColor=clWhite then 
-    begin
-      CurrentBackColor := clBlack;
-      InfoString.BorderColor := clWhite;
-    end  
-    else 
-    begin
-      CurrentBackColor := clWhite;
-      InfoString.BorderColor := clBlack;
-    end;  
-    ClearWindow(CurrentBackColor);
-    RedrawObjects;
-  end;  
-end;
-
-begin
-  SetWindowSize(1024,768);
-  Window.IsFixedSize := True;
-  Window.CenterOnScreen;
-  Window.Title := 'Стандартные цвета (нажмите Пробел для изменения фонового цвета)';
-  CreateStandardColors(CurrentBackColor);
-  InfoString := new RectangleABC(10,Window.Height-30,Window.Width-20,25);
-  OnMouseMove := MouseMove;
-  OnMouseDown := MouseDown;
-  OnMouseUp := MouseUp;
-  OnKeyDown := KeyDown;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Star_Rotate.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Star_Rotate.pas
deleted file mode 100644
index 82d52752c..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Star_Rotate.pas
+++ /dev/null
@@ -1,18 +0,0 @@
-// Изменение свойств объекта StarABC
-uses ABCObjects,GraphABC;
-
-var z: StarABC;
-
-begin
-  z := new StarABC(WindowWidth div 2,WindowHeight div 2,WindowHeight div 2 - 5,WindowHeight div 4 + 16,6,clRed);
-  for var i:=1 to 20 do
-  begin
-    Sleep(100);
-    z.Count := z.Count + 1;
-  end;
-  for var i:=1 to 180 do
-  begin
-    Sleep(10);
-    z.Angle := z.Angle + 1;
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Text.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Text.pas
deleted file mode 100644
index 017a0d654..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/ABCObjects/gr_Text.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Клонирование графических объектов
-uses ABCObjects,GraphABC;
-
-var bt: TextABC;
-  
-begin
-  var x := 224;
-  bt := new TextABC(60,110,110,'Hello!',RGB(x,x,x));
-  while x>32 do
-  begin
-    Sleep(40);
-    x -= 32;
-    bt := bt.Clone;
-    bt.Color := RGB(x,x,x);
-    bt.MoveOn(7,7);
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/Bill.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/Bill.pas
deleted file mode 100644
index 91f57c0ea..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/Bill.pas
+++ /dev/null
@@ -1,145 +0,0 @@
-// Отражение шарика от стенок. Консольный режим
-// Для запуска программы используйте Shift+F9 !!!
-uses CRT;
-
-const 
-// Ширина поля
-  w = 80; 
-// Высота поля
-  h = 24;
-
-var
-/// Координаты шарика 
-  ax,ay: integer;
-/// Вектор перемещения шарика
-  vx,vy: integer;
-/// Массив клеток поля  
-  a: array [1..w,1..h] of char;
-
-/// Очистка массива a
-procedure CleanA;
-begin
-  for var j := 1 to h do
-  for var i := 1 to w do
-    A[i,j] := ' '
-end;
-
-/// Создание горизонтальной стены 
-procedure HorizWall(x,y,L: integer);
-begin
-  for var i := x to x+L-1 do
-    A[i,y] := '*'
-end;
-
-/// Создание вертикальной стены 
-procedure VertWall(x,y,L: integer);
-begin
-  for var j := y to y+L-1 do
-    A[x,j] := '*'
-end;
-
-/// Заполнение поля стенами 
-procedure Fill;
-begin
-  CleanA;
-  HorizWall(1,1,w);
-  HorizWall(1,h,w);
-  VertWall(1,1,h);
-  VertWall(w,1,h);
-
-  HorizWall(49,9,31);
-  HorizWall(49,14,31);
-end;
-
-/// Перерисовка экрана 
-procedure DrawScreen;
-begin
-  TextColor(White);
-  ClrScr;
-  for var j := 1 to h do
-  for var i := 1 to w do
-    write(A[i,j])
-end;
-
-/// Возвращает True, если на пути шарика препятствие 
-function FilledInFront: boolean;
-begin
-  Result := (A[ax+vx,ay]<>' ') or (A[ax,ay+vy]<>' ') or (A[ax+vx,ay+vy]<>' ')
-end;
-
-/// Меняет направление шарика
-procedure ChangeDirection;
-begin
-  if A[ax+vx,ay]<>' ' then 
-    vx := -vx;
-  if A[ax,ay+vy]<>' ' then 
-    vy := -vy;
-  if (A[ax+vx,ay]=' ') and (A[ax,ay+vy]=' ') and (A[ax+vx,ay+vy]<>' ') then
-  begin
-    vx := -vx;
-    vy := -vy
-  end;
-  Sleep(10);
-end;
-
-/// Рисует шарик
-procedure ShowBall;
-begin
-  GotoXY(ax,ay);
-  write('B');
-end;
-
-/// Стирает шарик
-procedure HideBall;
-begin
-  GotoXY(ax,ay);
-  write(' ');
-end;
-
-/// Устанавливает вектор движение шарика
-procedure SetBallCoords(x,y: integer);
-begin
-  ax := x;
-  ay := y
-end;
-
-/// Устанавливает координаты шарика
-procedure SetBallVeloc(vx0,vy0: integer);
-begin
-  vx := vx0;
-  vy := vy0
-end;
-
-/// Перемещает шарик к позиции (x,y)
-procedure MoveTo(x,y: integer);
-begin
-  HideBall;
-  SetBallCoords(x,y);
-  ShowBall
-end;
-
-/// Перемещает шарик на вектор (dx,dy)
-procedure MoveOn(dx,dy: integer);
-begin
-  MoveTo(ax+dx,ay+dy);
-end;
-
-BEGIN
-  SetWindowTitle('Биллиард (ностальгия по CRT)');
-  HideCursor;
-
-  Fill;
-  DrawScreen;
-
-  SetBallCoords(70,13);
-  SetBallVeloc(1,1);
-  TextColor(Yellow);
-  ShowBall;
-
-  repeat
-    Delay(20);
-    if FilledInFront then 
-      ChangeDirection;
-    MoveOn(vx,vy);
-  until KeyPressed;
-END.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/CPaint.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/CPaint.pas
deleted file mode 100644
index 5ea9b4078..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/CPaint.pas
+++ /dev/null
@@ -1,70 +0,0 @@
-// Рисование курсором в консольном окне
-// Иллюстрация GotoXY, TextBackGround
-// Для запуска программы используйте Shift+F9 !!!
-uses Crt;
-
-var
-  draw: boolean; 			
-  color: integer;
-  
-function IsCoordCorrect(x,y: integer): boolean;  
-begin
-  Result := (x in [1..WindowWidth]) and (y in [1..WindowHeight]);
-end;
-  
-procedure MyGotoXY(x,y: integer);
-begin
-  if not IsCoordCorrect(x,y) then  
-    exit;
-  GotoXY(x,y);  
-end;
-
-procedure DrawSymbol(x,y: integer; c: char);
-begin
-  if not IsCoordCorrect(x,y) then  
-    exit;
-  GotoXY(x,y);  
-  write(c);
-  GotoXY(x,y);  
-end;
-  
-begin
-  draw := True;
-  color := Green;
-  ClrScr;
-  SetWindowTitle('Рисование курсором (Esc-выход, Num 5 - изменение цвета)');
-  TextBackGround(color);
-  GotoXY(WindowWidth div 2,WindowHeight div 2);
-  var c: char;
-  repeat
-    c := ReadKey;
-    if c=#32 then 
-      draw := not draw;
-    if c=#0 then 
-    begin
-      c := ReadKey;
-      case c of                           
-  // Изменение цвета по клавише Num 5
-    {5} #12: begin
-              color := color + 1;
-              if color=16 then 
-                color := 0;
-              TextBackGround(color);
-            end;
-    {RU}#33: MyGotoXY(WhereX+1,WhereY-1);
-    {RD}#34: MyGotoXY(WhereX+1,WhereY+1);
-    {LD}#35: MyGotoXY(WhereX-1,WhereY+1);
-    {LU}#36: MyGotoXY(WhereX-1,WhereY-1);
-    {L} #37: MyGotoXY(WhereX-1,WhereY);
-    {U} #38: MyGotoXY(WhereX,WhereY-1);
-    {R} #39: MyGotoXY(WhereX+1,WhereY);
-    {D} #40: MyGotoXY(WhereX,WhereY+1);
-        #67: ClrScr;
-      end;
-      if draw then 
-        DrawSymbol(WhereX, WhereY,' ');
-    end;
-  until c=#27;
-  TextBackGround(Black);
-  GotoXY(1,25);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/CRTColors.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/CRTColors.pas
deleted file mode 100644
index 5b205c89d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/CRTColors.pas
+++ /dev/null
@@ -1,20 +0,0 @@
-// Стандартные CRT-цвета
-// Для запуска программы используйте Shift+F9 !!!
-uses CRT;
-
-begin
-  SetWindowTitle('Стандартные CRT-цвета');
-  for var i:=0 to 15 do
-  begin
-    TextBackground(i);
-    for var j:=0 to 15 do
-    begin
-      TextColor(j);
-      write(' CRT');
-    end;
-    writeln;
-  end;
-  HideCursor;
-  TextBackground(0);
-  TextColor(0);
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/SimpleTextEditor.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/SimpleTextEditor.pas
deleted file mode 100644
index b8dc321c4..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/CRT/SimpleTextEditor.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-// Простейший текстовый редактор
-// Для запуска программы используйте Shift+F9 !!!
-uses CRT;
-
-begin
-  SetWindowTitle('Текстовый редактор (Enter - новая строка, Esc - выход)');
-  clrScr;
-  repeat
-    var c := ReadKey;
-    case c of
-  #13: writeln;
-  #27: break;
-  #32..#255: write(c);
-  #0: c := ReadKey;
-    end;
-  until false;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/AnalogClock.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/AnalogClock.pas
deleted file mode 100644
index 5fcaca2b1..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/AnalogClock.pas
+++ /dev/null
@@ -1,14 +0,0 @@
-uses GraphABC,System;
-
-begin
-  Font.Size := 80;
-  var x0 := (Window.Width - TextWidth('00:00:00')) div 2;
-  var y0 := (Window.Height - TextHeight('00:00:00')) div 2;
-  while True do
-  begin
-    var t := DateTime.Now;
-    var s := string.Format('{0:d2}:{1:d2}:{2:d2}',t.Hour,t.Minute,t.Second);
-    TextOut(x0,y0,s);
-    Sleep(1000);
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Flame.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Flame.pas
deleted file mode 100644
index 0d069ec7f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Flame.pas
+++ /dev/null
@@ -1,66 +0,0 @@
-uses GraphABC;
-
-const frames = 25;
-      size   = 250;
-      dxy    = size div 2;
-      dm     = 2*PI/1024;
-      flameh = 4;            
-      Light: byte = 255;
-      
-procedure FillPallete(ColorsTable: array of Color);
-begin
-  for var i:=0 to 255 do
-    if(i<128) then
-      ColorsTable[i] := RGB(i,0,i div 2)
-    else
-      ColorsTable[i] := RedColor(i);
-end;
-
-begin  
-  //Создаюм буфер экрана
-  var ScreenBuffer := new array of byte[size+1];
-  for var i:=0 to size do
-    ScreenBuffer[i] := new byte[size+1];
-  //Создаем палитру
-  var ColorsTable := new Color[256];
-  FillPallete(ColorsTable);
-  //Настраиваем окно
-  SetWindowSize(size,size);
-  SetBrushColor(clBlack);
-  FillRectangle(0,0,WindowWidth,WindowHeight);
-  SetSmoothingOff;
-  LockDrawing;
-  //Поехали
-  var x, y, s, tt, xx, yy: Integer;
-  var dt := System.DateTime.Now;
-  var ds := WindowWidth div 4;
-  repeat
-    tt := tt + 1;
-    xx := dxy + Round(ds*Sin(tt*dm));
-    yy := dxy + Round(ds*Cos(tt*dm));
-    ScreenBuffer[xx,yy] := Light;
-    SetPixel(xx,yy,ColorsTable[Light]);
-    for var i:=0 to 5 do begin
-      x := Random(size-1) + 1;
-      y := Random(size-1) + 1;
-      s := ScreenBuffer[Y,X];
-      if s>=flameh then 
-        s := s - flameh;
-      if s=0 then 
-        continue;
-      ScreenBuffer[y-1,x+1] := s;
-      ScreenBuffer[y-1,x  ] := s;
-      ScreenBuffer[y-1,x-1] := s;
-      ScreenBuffer[y+1,x  ] := s;
-      var c := ColorsTable[s];
-      SetPixel(y-1,x+1,c);
-      SetPixel(y-1,x,  c);
-      SetPixel(y-1,x-1,c);
-      SetPixel(y+1,x,  c);
-    end;
-    if((system.datetime.Now-dt).TotalMilliseconds>1000/frames) then begin
-      dt := System.Datetime.Now;
-      Redraw;
-    end;
-  until False;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Dragon.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Dragon.pas
deleted file mode 100644
index 27570e5d3..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Dragon.pas
+++ /dev/null
@@ -1,70 +0,0 @@
-// Пример из пакета KuMir/PMir
-program Dragon;
-
-uses GraphABC,Utils;
-
-var
-  x := 200;
-  y := 150;
-  dx := 0;
-  dy := -4;
-  turn: array [1..1000] of Boolean;
-
-begin
-  SetWindowSize(790,500);
-  Window.Title := 'Кривая Дракона';
-  var f := True;
-  for var a := 1 to 64 do
-  begin
-    turn[2*a-1] := f;
-    f := not f;
-    turn[2*a] := turn[a];
-  end;
-  var b := 0;
-  var d := 1;
-  f := false;
-  MoveTo(x,y);
-  
-  for var a:=1 to 128 do
-  begin
-    var t: integer;
-    LockDrawing;
-    for var i:=1 to 127*4 do
-    begin
-      b += d; 
-      x += dx; 
-      y += dy;
-      LineTo(x,y);
-      if f and not turn[b] or not f and turn[b] then
-      begin
-        t := dy;
-        dy := -dx;
-      end
-      else
-      begin
-        t := -dy;
-        dy := dx;
-      end;
-      dx := t;
-    end;
-    b += d; 
-    x += dx; 
-    y += dy;
-    LineTo(x,y);
-    d := -d;
-    f := not f;
-    if turn[a] then
-    begin
-      t := dy;
-      dy := -dx;
-    end
-    else
-    begin
-      t := -dy;
-      dy := dx;
-    end;
-    dx := t;
-    UnLockDrawing;
-  end;
-  write('Время работы = ',Milliseconds/1000,' с');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Mandelbrot.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Mandelbrot.pas
deleted file mode 100644
index 1a3a48c7a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Mandelbrot.pas
+++ /dev/null
@@ -1,42 +0,0 @@
-// Демонстрация фрактальной графики. Множество Мандельброта
-// Для каждой точки комплексной плоскости z=(x,y) выполняем итерационный процесс z=z^2+c, c=(cx,cy)
-// Считаем количество итераций i до тех пор пока не выполнится условие |x|>max и |y|>max
-// После этого рисуем точку x,y с насыщенностью красного цвета, пропорциональной i 
-uses GraphABC,Utils;
-
-const
-  max = 10;
-  coef1 = 0.5;
-  coef2 = 0.88;
-  scalex = 0.0035;
-  scaley = 0.0035;
-  dx = 430;
-  dy = 300;
-
-begin
-  Window.Title := 'Фракталы: множество Мандельброта';
-  SetWindowSize(600,600);
-  CenterWindow;
-  for var ix:=0 to Window.Width-1 do
-  for var iy:=0 to Window.Height-1 do
-  begin
-    var x := 0.0;
-    var y := 0.0;
-    var cx := scalex * (ix - dx);
-    var cy := scaley * (iy - dy);
-    var i := 1;
-    while i<255 do
-    begin
-      var x1 := x*x-y*y+cx;
-      var y1 := 2*x*y+cy;
-      x := x1;
-      y := y1;
-      if (abs(x)>max) and (abs(y)>max) then break;
-      i += 1;
-    end;
-    if i>=255 then SetPixel(ix,iy,clRed)
-      else SetPixel(ix,iy,RGB(255,255-i,255-i));
-  end;
-  writeln('Время расчета = ',Milliseconds/1000,' с');
-end.
-
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/Main.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/Main.pas
deleted file mode 100644
index 3946450ad..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/Main.pas
+++ /dev/null
@@ -1,22 +0,0 @@
-//(c) DarkStar 2008
-uses GraphABC, Paporotnik, PaporotnikData;
-
-const 
-  Iterations = 300000;         
-  Height     = 600;            
-  Fast       = false;
-  Width      = Height div 2;        
-  WindowWidth= Width * 3;        
-  Brightness = 170;
-
-var 
-  Paprotnik := new PaporotnikFractal(PaprotnikData);
-  SimplePaprotnik := new PaporotnikFractal(SimplePaprotnikData);
-  Elka := new PaporotnikFractal(ElkaData);
-
-begin
-  InitWindow(200, 50, WindowWidth , Height, clBlack);
-  Paprotnik.Draw(0, 0, Iterations, Height, Brightness, fast);
-  SimplePaprotnik.Draw(Width, 0, Iterations, Height, Brightness, fast);
-  Elka.Draw(Width*2, 0, Iterations, Height, Brightness, fast);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/Paporotnik.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/Paporotnik.pas
deleted file mode 100644
index 3d689e7a5..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/Paporotnik.pas
+++ /dev/null
@@ -1,51 +0,0 @@
-///Модуль для рисования фракталов семейства "Лист папоротника"
-unit Paporotnik;
-
-uses GraphABC;
-
-type
-
-  ///Настройки фрактала
-  PaporotnikFractalInitalData = record
-    data: array of array of real; 
-    P0,P1,P2,P3:real;
-  end;
-  
-  ///Фрактал "Лист папоротника"  
-  PaporotnikFractal = class
-  private
-    data: array of array of real; 
-    P0,P1,P2,P3:real;
-  public
-    constructor(initdata: PaporotnikFractalInitalData);
-    begin
-      data := initdata.data;
-      P0 := initdata.P0;
-      P1 := initdata.P1;
-      P2 := initdata.P2;
-      P3 := initdata.P3;
-    end;
-    procedure Draw(x0,y0,Iterations,Height,Brightness: integer; fast: boolean);
-    begin
-      var plotx, ploty, x, y : real;
-      var Size := Height/11;
-      var Width := Height div 2;
-      var dx := Width div 2;
-	    var dc := Iterations div Brightness;
-      if fast then
-        LockDrawing;
-      for var i:=1 to Iterations do begin
-        var P := Random(100);    
-        var rnd := P<P0 ? 0 : P<P1+P0 ? 1 : P<P2+P1+P0 ? 2 : 3;
-        plotx := data[rnd,0]*x + data[rnd,1]*y;
-        ploty := data[rnd,2]*x + data[rnd,3]*y + data[rnd,5];
-        x := plotx;
-        y := ploty;
-        SetPixel(x0+Round(x*Size) + dx, y0+Height - Round(y*Size), GreenColor(byte(30 + (i div dc))));
-      end;
-      if fast then
-        UnlockDrawing;      
-    end;
-  end;
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/PaporotnikData.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/PaporotnikData.pas
deleted file mode 100644
index 38069519a..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik/PaporotnikData.pas
+++ /dev/null
@@ -1,41 +0,0 @@
-///Константы задающие фракталы
-unit PaporotnikData;
-
-uses Paporotnik;
-
-var
-  ///Папоротник с изогнутым листом
-  PaprotnikData: PaporotnikFractalInitalData := (
-    data: (( 0.0000,  0.0000,  0.0000,  0.1600, 0, 0.0000),
-	         ( 0.8500,  0.0400, -0.0400,  0.8500, 0, 1.6000),
-	         ( 0.1667, -0.2887,  0.2887,  0.1667, 0, 1.6000),
-	         (-0.1667,  0.2887,  0.2887,  0.1667, 0, 0.4400));
-    P0: 3; 
-    P1: 83;
-    P2: 7; 
-    P3: 7);
-    
-  ///Папоротник с прямым листом
-  SimplePaprotnikData: PaporotnikFractalInitalData := (
-    data: (( 0.00,  0.00, 0.00, 0.16, 0, 0.00),
-        	 ( 0.85,  0.00, 0.00, 0.85, 0, 1.60),
-        	 ( 0.20, -0.26, 0.23, 0.22, 0, 1.60),
-	         (-0.20,  0.26, 0.23, 0.22, 0, 1.60));
-    P0: 3; 
-    P1: 83;
-    P2: 7; 
-    P3: 7);
-
-  ///Елка
-  ElkaData: PaporotnikFractalInitalData := (
-	  data: (( 0.1000,  0.0000,  0.0000,  0.1600, 0, 0.0000),
-           ( 0.8500,  0.0000,  0.0000,  0.8500, 0, 1.6000),
-           (-0.1667, -0.2887,  0.2887, -0.1667, 0, 1.6000),
-           (-0.1667,  0.2887, -0.2887, -0.1667, 0, 1.6000));
-    P0: 1; 
-    P1: 85;
-    P2: 7; 
-    P3: 7);
-
-
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik1.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik1.pas
deleted file mode 100644
index 7bbe65202..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Fractals/Paporotnik1.pas
+++ /dev/null
@@ -1,42 +0,0 @@
-// Демонстрация фрактальной графики. Папоротник
-// Для каждой точки комплексной плоскости z=(x,y) выполняем итерационный процесс z=z^2+c, c=(cx,cy)
-// Считаем количество итераций i до тех пор пока не выполнится условие |x|>max и |y|>max
-// После этого рисуем точку x,y с насыщенностью красного цвета, пропорциональной i 
-uses GraphABC,Utils;
-
-const
-  max = 10;
-  cx = 0.251;
-  cy = 0.95;
-  coef1 = 0.5;
-  coef2 = 0.88;
- 
-  scalex = 0.001;
-  scaley = 0.001;
-  dx = 200;
-  dy = 130;
-
-begin
-  Window.Title := 'Фракталы: папоротник';
-  SetWindowSize(800,600);
-  CenterWindow;
-  for var ix:=0 to Window.Width-1 do
-  for var iy:=0 to Window.Height-1 do
-  begin
-    var x := scalex*(ix-dx);
-    var y := scaley*(iy-dy);
-    var i := 1;
-    while i<255 do
-    begin
-      var x1 := coef1*x*x-coef2*y*y+cx;
-      var y1 := x*y+cy;
-      x := x1;
-      y := y1;
-      if (abs(x)>max) and (abs(y)>max) then break;
-      i += 1;
-    end;
-    if i>=255 then SetPixel(ix,iy,clRed)
-      else SetPixel(ix,iy,RGB(255,255-i,255-i));
-  end;
-  writeln('Время расчета = ',Milliseconds/1000,' с');
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Mosaic.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Mosaic.pas
deleted file mode 100644
index 4aee71d02..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Mosaic.pas
+++ /dev/null
@@ -1,51 +0,0 @@
-// Мозаика. Квадратики случайным образом меняются местами
-uses GraphABC;
-
-const 
-  w  = 25;
-  w1 = 1;
-  m  = 50;
-  n  = 70;
-  x0 = 0;
-  y0 = 0;
-  delay = 10;
-
-var a: array [0..n,0..m] of Color;
-
-begin
-  Window.Title := 'Мозаика';
-  Window.SetSize(800,600);
-  
-  // Заполнение массива случайными цветами
-  for var i:=0 to n-1 do
-  for var j:=0 to m-1 do
-  begin
-    a[i,j] := clRandom;
-    Brush.Color := a[i,j];
-    FillRect(x0+i*w,y0+j*w,x0+(i+1)*w-w1,y0+(j+1)*w-w1);
-  end;
-  
-  var k := 0;
-  while true do
-  begin
-    k += 1;
-    if k mod 1000 = 0 then 
-    begin
-      k := 0;
-      Sleep(delay);
-    end;  
-    
-    var i := Random(1,n-2);
-    var j := Random(1,m-2);
-    var di := Random(-1,1);
-    var dj := Random(-1,1);
-    var i1 := i+di; 
-    var j1 := j+dj;
-    Swap(a[i,j],a[i1,j1]);
-    
-    Brush.Color := a[i,j];
-    FillRect(x0+i*w,y0+j*w,x0+(i+1)*w-w1,y0+(j+1)*w-w1);
-    Brush.Color := a[i1,j1];
-    FillRect(x0+i1*w,y0+j1*w,x0+(i1+1)*w-w1,y0+(j1+1)*w-w1);
-  end;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/SetPixel.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/SetPixel.pas
deleted file mode 100644
index 498bb4a0f..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/SetPixel.pas
+++ /dev/null
@@ -1,7 +0,0 @@
-uses GraphABC;
-
-begin
-  for var x:=0 to Window.Width-1 do
-  for var y:=0 to Window.Height-1 do
-    SetPixel(x,y,RGB(2*x-y,x-3*y,x+y));
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Star.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Star.pas
deleted file mode 100644
index 76054f2f8..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/Star.pas
+++ /dev/null
@@ -1,17 +0,0 @@
-uses GraphABC;
-
-const 
-  n = 17; // количество точек 
-  n1 = 7; // через сколько точек соединять
-
-begin
-  var a := -Pi/2;
-  var Center := Window.Center;
-  var Radius := Window.Height/2.2;
-  MoveTo(Round(Center.X+Radius*cos(a)),Round(Center.Y+Radius*sin(a)));
-  for var i:=1 to n do
-  begin
-    a += n1*2*Pi/n;
-    LineTo(Round(Center.X+Radius*cos(a)),Round(Center.Y+Radius*sin(a)));
-  end;
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/graph3d.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/graph3d.pas
deleted file mode 100644
index ea0587a05..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/graph3d.pas
+++ /dev/null
@@ -1,64 +0,0 @@
-// Пример из пакета KuMir/PMir
-// Публикуется практически без изменений
-// Дорог как память :)
-Uses GraphABC;
-
-var Xmin,Xmax,Xstep: real;
-    Ymin,Ymax,Ystep,asp: real;
-    dx: integer;
-
-function f(x,y:real): integer;
-var r: real;
-begin
-  r := x*x+y*y+1;
-  f := round(5*asp*(cos(r)/r+0.1))
-end;
-
-procedure gr(N : integer);
-var X,Y: real; 
-    i,j,k,Z0,dy: integer; 
-    pred: array [1..100] of integer;
-    jj,maxX,maxY: integer;
-begin
-  Xmin := -4;
-  Xmax := 4;
-  Ymin := -3;
-  Ymax := 3;
-  maxX := 600;
-  maxY := 400;
-  Xstep := dx*(Xmax-Xmin)/maxX; 
-  X := Xmin;
-  Ystep := (Ymax-Ymin)/N;     
-  Y := Ymin;
-  dy := maxY div N div 2;        
-  asp := maxY/8;
-  for i := 1 to N do
-  begin
-    pred[i] := maxY-i*dy-f(X,Y);
-    Y := Y + Ystep
-  end;
-  for jj := 1 to maxX div dx do 
-  begin
-    j := jj*dx;
-    X := X + Xstep;
-    Y := Ymin; Z0 := maxY;
-    for i := 1 to N do 
-    begin
-      k := maxY-i*dy-f(X,Y);
-      if k<Z0 then
-      begin
-        Line(j-dx,pred[i],j,k);
-        Z0 := k
-      end;
-      pred[i] := Z0;
-      Y := Y+Ystep
-    end;
-  end;
-end;
-
-begin
-  SetWindowCaption('График функции двух переменных');
-  SetWindowSize(600,400);
-  dx := 2; { разрешение по оси X }
-  gr(100); { количество линий по Y <= MaxN }
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/graphic.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/graphic.pas
deleted file mode 100644
index 77a0a3bff..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/graphic.pas
+++ /dev/null
@@ -1,82 +0,0 @@
-// Процедура drawGraph рисования графика функции в полном окне
-// с масштабированием по оси OY
-// Перерисовывает график при изменении размеров окна
-uses GraphABC;
-
-type FUN = function (x: real): real;
-
-function f(x: real): real;
-begin
-  Result := x*sin(x)*exp(-0.1*x);
-end;
-
-// l (logical) - логические координаты
-// s (screen) - физические координаты
-procedure drawGraph(x1,x2: real; f: FUN);
- var
-  xl0,wl,yl0,hl: real;
-  xs0,ws,ys0,hs: integer;
- function LtoSx(xl: real): integer;
- begin
-   Result := round(ws/wl*(xl-xl0)+xs0);
- end;
- function LtoSy(yl: real): integer;
- begin
-   Result := round(hs/hl*(yl-yl0)+ys0);
- end;
- function StoLx(xs: integer): real;
- begin
-   Result := wl/ws*(xs-xs0)+xl0;
- end;
-
-begin // drawGraph
-  xs0 := 0;
-  ys0 := WindowHeight-1;
-  ws := WindowWidth;
-  hs := WindowHeight-1;
-  
-  xl0 := x1;
-  wl := x2-x1;
-
-  var min := real.MaxValue;
-  var max := real.MinValue;
-  
-  var yi: array of real;
-  SetLength(yi,ws+1);
-
-  for var xi:=0 to ws do
-  begin
-    yi[xi] := f(StoLx(xi+xs0));
-    if yi[xi]<min then 
-      min := yi[xi];
-    if yi[xi]>max then 
-      max := yi[xi];
-  end;
-  
-  yl0 := min;
-  hl := -(max-min);
-
-  // Нарисовать оси системы координат
-  Line(0,LtoSy(0),ws,LtoSy(0));
-  Line(LtoSx(0),0,LtoSx(0),hs);
-
-  Pen.Color := clBlue;
-  MoveTo(xs0,LtoSy(yi[0]));
-  for var xi:=xs0+1 to xs0+ws do
-    LineTo(xi,LtoSy(yi[xi-xs0]));
-end;
-
-procedure Resize;
-begin
-  ClearWindow;
-  drawGraph(0,60,f);
-  Redraw;
-end;
-
-begin
-  LockDrawing;
-  SetWindowCaption('График функции: масштабирование');
-  drawGraph(0,60,f);
-  Redraw;
-  OnResize := Resize;
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/rain.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/rain.pas
deleted file mode 100644
index 17f971f4d..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/GraphABC/rain.pas
+++ /dev/null
@@ -1,27 +0,0 @@
-// Имитация кругов на воде от капель дождя
-uses GraphABC;
-
-const speed = 2;
-
-procedure Kaplia(x0,y0: integer);
-begin
-  var r := 1;
-  for var i:=0 to 63 do
-  begin
-    Pen.Color := RGB(i*4,i*4,i*4);
-    Circle(x0,y0,r);
-    if i mod speed = 0 then Sleep(10);
-    Pen.Color := clWhite;
-    Circle(x0,y0,r);
-    r += 2;    
-  end;
-end;
-
-const z=50;
-
-begin
-  Window.Title := 'Капли дождя';
-  SetWindowSize(800,600);
-  while True do
-    Kaplia(Random(z,WindowWidth-z),Random(z,WindowHeight-z));
-end.
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/Timers/Timer1.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/Timers/Timer1.pas
deleted file mode 100644
index fadc43320..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/Timers/Timer1.pas
+++ /dev/null
@@ -1,21 +0,0 @@
-Uses Timers;
-
-var t1, t2: Timer;
-
-procedure OnTimer1;
-begin
-  Write('!');
-end;
-
-procedure OnTimer2;
-begin
-  Write('?');
-end;
-
-begin
-  t1 := new Timer(200, OnTimer1);
-  t2 := new Timer(300, OnTimer2);
-  t1.Start;
-  t2.Start;
-  Sleep(10000);
-end.
\ No newline at end of file
diff --git a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/Timers/Timer2.pas b/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/Timers/Timer2.pas
deleted file mode 100644
index 073c3a6b9..000000000
--- a/ReleaseGenerators/Samples/_SVN/Pas/StandardUnits/Timers/Timer2.pas
+++ /dev/null
@@ -1,59 +0,0 @@
-// "Собачка". Иллюстрация использования таймера.
-uses GraphABC, Timers;
-
-var
-  t: Timer;
-  xx,yy,px,py: integer;
-  
-procedure Draw;
-begin
-  FillCircle(xx,yy,11);
-end;
-
-procedure Show;
-begin
-  Brush.Color := clBlack;
-  Draw;
-end;
-
-procedure Hide;
-begin
-  Brush.Color := clWhite;
-  Draw;
-end;
-
-procedure Move(x,y: integer);
-begin
-  Hide;
-  xx := x; 
-  yy := y;
-  show;
-end;
-
-procedure Timer1;
-begin
-  if (xx<>px) or (yy<>py) then
-  begin
-    var t := 1/10;
-    var newx := round((1-t)*xx+t*px);
-    var newy := round((1-t)*yy+t*py);
-    Move(newx,newy);
-  end;
-end;
-
-procedure MouseMove(x,y,mb: integer);
-begin
-  px := x; py := y;
-end;
-
-begin
-  SetWindowCaption('"Собачка"');
-  SetSmoothingOff;
-  OnMouseMove:=MouseMove;
-  xx := 100; yy := 100;
-  px := xx; py := yy;
-  Show;
-  Timer1;
-  t := new Timer(20,Timer1);
-  t.Start;
-end.
diff --git a/TestSuite/.gitignore b/TestSuite/.gitignore
index 413caff47..a0f2c2bcb 100644
--- a/TestSuite/.gitignore
+++ b/TestSuite/.gitignore
@@ -16,30 +16,3 @@
 /exe/*.dat
 
 
-
-#TODO Большая часть .pas файлов добавленны, некоторые нет... пока заигнорил недобавленные
-# - Вообще по моему лучше удалить все эти файлы из индекса
-# - В индекс
-/CompilationSamples/Controls.pas
-/CompilationSamples/LightPT.pas
-/CompilationSamples/NUnitABC.pas
-/CompilationSamples/PT4Databases.pas
-/CompilationSamples/Speech.pas
-/CompilationSamples/Tasks.pas
-/CompilationSamples/Tasks1Arr.pas
-/CompilationSamples/Tasks1Begin.pas
-/CompilationSamples/Tasks1BoolIfCase.pas
-/CompilationSamples/Tasks1Loops.pas
-/CompilationSamples/TasksArr.pas
-/CompilationSamples/TasksMatr.pas
-/CompilationSamples/TasksStr.pas
-/CompilationSamples/Turtle.pas
-/CompilationSamples/TurtleWPF.pas
-/CompilationSamples/TwoPanelsWindow.pas
-/CompilationSamples/XLSX.pas
-/CompilationSamples/xPT4MakerNetX.pas
-/CompilationSamples/xPT4TaskMakerNET.pas
-/CompilationSamples/Мозаика.pas
-/CompilationSamples/МозаикаABC.pas
-
-
diff --git a/TestSuite/CompilationSamples/Controls.pas b/TestSuite/CompilationSamples/Controls.pas
new file mode 100644
index 000000000..3adc7a918
--- /dev/null
+++ b/TestSuite/CompilationSamples/Controls.pas
@@ -0,0 +1,1503 @@
+// Copyright (©) Ivan Bondarev, Stanislav Mikhalkovich (for details please see \doc\copyright.txt)
+// This code is distributed under the GNU LGPL (for details please see \doc\license.txt)
+///Модуль элементов управления для GraphWPF, WPFObjects и Graph3D
+unit Controls;
+
+interface
+
+uses GraphWPFBase;
+uses System.Windows; 
+uses System.Windows.Media; 
+uses System.Windows.Media.Imaging;
+uses System.Windows.Controls; 
+uses System.Windows.Controls.Primitives; 
+uses System.ComponentModel;
+
+const PanelsColor = Colors.WhiteSmoke;
+
+type
+  Dock = System.Windows.Controls.Dock;
+  GButton = System.Windows.Controls.Button;
+  GTextBlock = System.Windows.Controls.TextBlock;
+  GTextBox = System.Windows.Controls.TextBox;
+  GListBox = System.Windows.Controls.ListBox;
+  GPanel = System.Windows.Controls.Panel;
+  GControl = System.Windows.Controls.Control;
+  GStatusBar = System.Windows.Controls.Primitives.StatusBar;
+  Orientation = System.Windows.Controls.Orientation;
+  MessageBox = System.Windows.MessageBox;
+  MessageBoxButton = System.Windows.MessageBoxButton;
+  MessageBoxResult = System.Windows.MessageBoxResult;
+  MessageBoxImage = System.Windows.MessageBoxImage;
+  /// Набор предопределённых цветов
+  Colors = System.Windows.Media.Colors;
+  Key = System.Windows.Input.Key;
+
+var
+  _ActivePanel: GPanel;
+  GlobalHMargin := 12;
+  
+function __ActivePanelInternal: GPanel;
+procedure __SetActivePanelInternal(p: GPanel);
+
+procedure Invoke(d: System.Delegate; params args: array of object);
+procedure InvokeP(p: procedure(r: real); r: real); 
+
+type
+  ///!#
+  /// Базовый класс для всех элементов управления
+  CommonElementWPF = class
+  protected  
+    element: FrameworkElement;
+    procedure Init0(el: FrameworkElement; width: real := 0; x: real := -1; y: real := -1);
+  private
+    procedure SetWP(w: real) := element.Width := w;
+    procedure SetHP(h: real) := element.Height := h;
+    procedure SetMPB(m: real) := element.Margin := new Thickness(0,0,0,m);
+    procedure SetMPs(m: (real, real, real, real)) := element.Margin := new Thickness(m[0],m[1],m[2],m[3]);
+    procedure SetTTP(s: string) := element.Tooltip := s;
+    procedure SetEP(enabled: boolean) := element.IsEnabled := enabled;
+  public
+    /// Ширина элемента управления
+    property Width: real read InvokeReal(()->element.Width) write Invoke(SetWP, value);
+    /// Высота элемента управления
+    property Height: real read InvokeReal(()->element.Height) write Invoke(SetHP, value); virtual;
+    /// Отступ элемента управления
+    //property Margin: real read InvokeReal(()->element.Margin.Bottom) write Invoke(SetMPB, value);
+    /// Нижний отступ элемента управления
+    property BottomMargin: real read InvokeReal(()->element.Margin.Bottom) write Invoke(SetMPB, value);
+    /// Отступы элемента управления
+    property Margins: (real,real,real,real) 
+      //read InvokeReal(()->element.Margin.Bottom) 
+      write Invoke(SetMPs, value);
+    /// Активирован ли элемент управления
+    property Enabled: boolean read InvokeBoolean(()->element.IsEnabled) write Invoke(SetEP, value);
+    /// Всплывающая подсказка
+    property Tooltip: string read Invokestring(()->element.ToolTip as string) write Invoke(SetTTP, value);
+  end;
+  
+  ///!#
+  /// Базовый класс для панелей
+  PanelWPF = class(CommonElementWPF)
+  public  
+    fsize: real := 12;
+  private
+    bb: Border;
+    property p: StackPanel read element as StackPanel;
+    procedure CreateP(wh: real; d: Dock; c: Color; InternalMargin: real);
+    begin
+      bb := new Border();  
+      bb.Background := new SolidColorBrush(c);
+      var p := new StackPanel;
+      element := p;
+      bb.Child := p;
+      p.Background := GetBrush(c);
+      p.Margin := new System.Windows.Thickness(InternalMargin);
+
+      if (d = Dock.Left) or (d = Dock.Right) then
+      begin
+        p.Orientation := Orientation.Vertical;
+        bb.Width := wh;
+      end
+      else
+      begin
+        p.Orientation := Orientation.Horizontal;
+        bb.Height := wh;
+      end;
+      DockPanel.SetDock(bb, d);
+      MainDockPanel.children.Insert(0, bb);
+      //ActivePanel := p;
+      __SetActivePanelInternal(p);
+      p.Tag := Self;
+    end;
+    procedure SetColorP(c: GColor);
+    begin
+      p.Background := GetBrush(c); 
+      bb.Background := p.Background
+    end;
+    function GetColorP := (p.Background as SolidColorBrush).Color;
+    procedure SetTTP(s: string) := p.ToolTip := s;  
+    static procedure SetFSzPP(p: GPanel; value: real);
+    begin
+      if value<=0 then exit;
+      foreach var c: FrameworkElement in p.Children do
+        SetFSzElement(c,value);
+    end;
+    static procedure SetFSzElement(c: FrameworkElement; value: real);
+    begin
+      if value<=0 then exit;
+      if c is GControl then
+        (c as GControl).FontSize := value
+      else if c is GTextBlock then
+        (c as GTextBlock).FontSize := value
+      else if c is GPanel then
+        SetFSzPP(c as GPanel,value);
+    end;
+    procedure SetFSzP(value: real);
+    begin
+      if value<=0 then exit;
+      fsize := value;
+      SetFSzPP(Self.p,value);
+    end;
+  public 
+    constructor Create(wh: real; d: Dock; c: Color; internalMargin: real);
+    begin
+      Invoke(CreateP,wh,d,c,internalMargin);
+    end;
+    constructor Create(wh: real; d: Dock; c: Color) := Create(wh,d,c,10);
+    constructor Create(wh: real := 150; d: Dock := Dock.Left) := Create(wh,d,PanelsColor,10);
+    /// Цвет
+    property Color: GColor read Invoke&<GColor>(GetColorP) write Invoke(SetColorP, value);
+    /// Ширина внутренней границы
+    property InternalMargin: real 
+      read InvokeReal(()->p.Margin.Left)
+      write Invoke(procedure -> p.Margin := new System.Windows.Thickness(internalMargin), value);
+    /// Всплывающая подсказка
+    property Tooltip: string read Invokestring(()->p.ToolTip as string) write Invoke(SetTTP, value);
+    /// Размер шрифта
+    property FontSize: real read fsize write Invoke(SetFSzP, value); virtual;
+    /// Имя шрифта
+    //property FontName: string write Invoke(SetFontNameP, value); virtual;
+  end;
+  
+  /// Класс левой панели
+  LeftPanelWPF = class(PanelWPF)
+  public
+    constructor Create(width: real; c: GColor; internalMargin: real);
+    begin
+      inherited Create(width, Dock.Left,c,internalMargin)
+    end;
+    constructor Create(width: real; c: GColor) := Create(width,c,10);
+    constructor Create(width: real := 150) := Create(width,PanelsColor,10);
+  end;
+
+  /// Класс правой панели
+  RightPanelWPF = class(PanelWPF)
+  public
+    constructor Create(width: real; c: GColor; internalMargin: real);
+    begin
+      inherited Create(width, Dock.Right,c,internalMargin)
+    end;
+    constructor Create(width: real; c: GColor) := Create(width,c,10);
+    constructor Create(width: real := 150) := Create(width,PanelsColor,10);
+  end;
+
+  CommonControlWPF = class(CommonElementWPF)
+  private
+    property Control: GControl read element as GControl;
+    procedure SetFSzP(size: real) := if size > 0 then control.FontSize := size;
+    procedure SetFontNameP(name: string) := control.FontFamily := new FontFamily(name);
+  public  
+    /// Размер шрифта
+    property FontSize: real read InvokeReal(()->control.FontSize) write Invoke(SetFSzP, value); virtual;
+    /// Имя шрифта
+    property FontName: string write Invoke(SetFontNameP, value); virtual;
+  end;
+  
+  ///!#
+  ClickableControlWPF = class(CommonControlWPF)
+  protected
+    procedure ClickP(sender: Object; e: RoutedEventArgs);
+    begin
+      if Click <> nil then
+        Click;
+    end;
+  public  
+    /// Событие нажатия на элемент управления
+    Click: procedure;
+  end;
+  
+  StackPanelWPF = class(CommonControlWPF)
+  private
+    property sp: StackPanel read element as StackPanel;
+    procedure CreateP(Orient: Orientation; width,height: real);
+    begin
+      element := new StackPanel;
+      element.Focusable := False;
+      if width>0 then
+        element.Width := width;
+      if height>0 then
+        element.Height := height;
+      sp.Orientation := Orient;
+      __ActivePanelInternal.Children.Add(sp);
+      _ActivePanel := sp;
+    end;
+    procedure SetColorP(c: GColor);
+    begin
+      sp.Background := GetBrush(c); 
+    end;
+    function GetColorP := (sp.Background as SolidColorBrush).Color;
+    procedure SetTTP(s: string);
+    begin
+      sp.ToolTip := s;  
+    end;
+  public 
+    constructor (Orient: Orientation; width: real := 0; height: real := 0) := Invoke(CreateP,Orient,width,height);
+    property Color: GColor read Invoke&<GColor>(GetColorP) write Invoke(SetColorP, value);
+  end;
+
+  /// Элемент управления Grid
+  GridWPF = class(CommonElementWPF)
+  private
+    property gr: UniformGrid read element as UniformGrid;
+    procedure CreatePP(rows,columns: integer); // только для добавления как главной панели
+    begin
+      element := new UniformGrid();
+      gr.Rows := rows;
+      gr.Columns := columns;
+      element.Focusable := False;
+      MainDockPanel.children.RemoveAt(MainDockPanel.children.Count-1);
+      MainDockPanel.children.Add(gr);
+    end;
+    procedure CreateP(rows,columns,InternalMargin: integer);
+    begin
+      element := new UniformGrid();
+      element.Focusable := False;
+      gr.Rows := rows;
+      gr.Columns := columns;
+      __ActivePanelInternal.Children.Add(gr);
+      _ActivePanel := gr;
+      _ActivePanel.Tag := Self;
+      Self.InternalMargin := InternalMargin;
+    end;
+    constructor (i: boolean; rows,columns: integer) := Invoke(CreatePP,rows,columns); // фиктивный первый параметр
+  public 
+    constructor (rows: integer := 1; columns: integer := 1; InternalMargin: integer := 5) 
+      := Invoke(CreateP,rows,columns,InternalMargin);
+    property Rows: integer read InvokeInteger(()->gr.Rows) 
+      write Invoke(procedure->if value>0 then gr.Rows := value);
+    property Columns: integer read InvokeInteger(()->gr.Columns) 
+      write Invoke(procedure->if value>0 then gr.Columns := value);
+    auto property InternalMargin: real := 5;  
+  end;
+
+  /// Элемент управления "Изображение"
+  ImageWPF = class(CommonControlWPF)
+  private
+    property im: Image read element as Image;  
+    procedure CreatePXY(x,y: real; name: string; width: real := 0);
+    begin
+      Init0(new Image(),width,x,y);
+      im.Source := new BitmapImage();
+      im.Source := new BitmapImage(new System.Uri(name,System.UriKind.RelativeOrAbsolute));
+    end;
+    procedure CreateP(name: string) := CreatePXY(-1,-1,name,0);
+    procedure CreatePP;
+    begin
+      element := new Image();
+      element.Focusable := False;
+      MainDockPanel.children.RemoveAt(MainDockPanel.children.Count-1);
+      MainDockPanel.children.Add(im);
+    end;
+    function GetNameP: string;
+    begin
+      Result := (im.Source as BitmapImage).UriSource.AbsolutePath
+    end;
+    procedure SetNameP(value: string);
+    begin
+      im.Source := new BitmapImage(new System.Uri(value,System.UriKind.RelativeOrAbsolute));
+    end;
+    constructor (i: integer) := Invoke(CreatePP); // фиктивный первый параметр
+  public 
+    constructor (name: string) := Invoke(CreateP,name);
+    constructor (x,y: real; name: string; width: real := 0) := Invoke(CreatePXY,x,y,name,width);
+    /// Имя файла изображения
+    property Name: string read InvokeString(GetNameP) write Invoke(SetNameP,value);
+  end;
+  
+
+  /// Элемент управления "Кнопка"
+  ButtonWPF = class(ClickableControlWPF)
+  public
+    property b: GButton read element as GButton;
+    
+    procedure CreatePXY(x,y: real; Txt: string; width: real; fontSize: real);
+    begin
+      Init0(new GButton,width,x,y);
+      Text := Txt;
+      Self.FontSize := fontSize;
+      b.Click += (o,e) -> if Click <> nil then Click;
+    end;
+    procedure CreateP(text: string; fontSize: real) := CreatePXY(-1,-1,text,0,fontSize);
+
+    procedure SetTextP(t: string) := b.Content := t;
+  public 
+    constructor Create(Txt: string; fontSize: real := 0) := Invoke(CreateP, Txt, fontSize);
+    constructor Create(x, y: real; Txt: string; width: real := 0; fontSize: real := 0) := Invoke(CreatePXY, x, y, Txt, width, fontSize);
+    
+    /// Текст на кнопке
+    property Text: string read InvokeString(()->b.Content as string) write Invoke(SetTextP, value);
+  end;
+  
+  /// Элемент управления "Текст"
+  TextBlockWPF = class(CommonElementWPF)
+  private
+    property tb: GTextBlock read element as GTextBlock;
+
+    procedure CreatePXY(x, y: real; Txt: string; width: real; fontsize: real);
+    begin
+      Init0(new GTextBlock, width, x, y);
+      //Margin := 3;
+      Text := Txt;
+      Self.FontSize := fontSize;
+    end;
+    procedure CreateP(text: string; fontSize: real) := CreatePXY(-1,-1,text,0,fontSize);
+  
+    procedure SetTextP(t: string) := tb.Text := t;
+    procedure SetFontSizeP(sz: real) := if sz>0 then tb.FontSize := sz;
+    procedure SetFontNameP(name: string) := tb.FontFamily := new FontFamily(name);
+    procedure SetTextWrappingP(value: boolean) := if value then tb.TextWrapping := TextWrapping.Wrap else 
+      tb.TextWrapping := TextWrapping.NoWrap; 
+  public 
+    constructor Create(Txt: string; fontsize: real := 0):= Invoke(CreateP, Txt, fontsize);
+    constructor Create(x, y: real; Txt: string; width: real := 0; fontSize: real := 0):= Invoke(CreatePXY, x, y, Txt, width, fontSize);
+
+    /// Текст блока текста
+    property Text: string read InvokeString(()->tb.Text) write Invoke(SetTextP, value);
+    /// Размер шрифта
+    property FontSize: real read InvokeReal(()->tb.FontSize) write Invoke(SetFontSizeP, value); virtual;
+    /// Имя шрифта
+    property FontName: string write Invoke(SetFontNameP, value); virtual;
+    /// Включён ли режим переноса слов
+    property Wrapping: boolean read InvokeBoolean(()->tb.TextWrapping = TextWrapping.Wrap) 
+      write Invoke(SetTextWrappingP, value); virtual;
+  end;
+
+  /// Элемент управления "Целое число"
+  IntegerBlockWPF = class(TextBlockWPF)
+  private 
+    val := 0;
+    message: string;
+    procedure CreatePXY(x, y: real; message: string; width: real; initValue: integer := 0; fontSize: real := 0);
+    begin
+      inherited CreatePXY(x,y,message + ' ' + initValue, width, fontSize);
+      Self.message := message;
+      val := initValue;
+    end;
+    procedure CreateP(message: string; initValue: integer := 0; fontSize: real := 0) := CreatePXY(-1,-1,message,0,initValue,fontSize);
+  public 
+    constructor Create(message: string; initValue: integer := 0; fontSize: real := 0) := Invoke(CreateP, message, initValue, fontSize);
+    constructor Create(x, y: real; message: string; width: real := 0; initValue: integer := 0; fontSize: real := 0) := Invoke(CreatePXY, x, y, message, width, initValue, fontSize);
+
+    /// Значение целого
+    property Value: integer read val write begin val := value; Text := message + ' ' + val; end;
+    static function operator implicit(ib: IntegerBlockWPF) := ib.Value;
+    static function operator=(ib: IntegerBlockWPF; v: integer) := ib.Value = v;
+    static function operator=(v: integer; ib: IntegerBlockWPF) := ib.Value = v;
+    static function operator<>(ib: IntegerBlockWPF; v: integer) := ib.Value <> v;
+    static function operator<>(v: integer; ib: IntegerBlockWPF) := ib.Value <> v;
+    static procedure operator+=(ib: IntegerBlockWPF; v: integer);
+    begin
+      ib.Value += v;
+    end;
+    static procedure operator-=(ib: IntegerBlockWPF; v: integer);
+    begin
+      ib.Value -= v;
+    end;
+    static procedure operator:=(ib: IntegerBlockWPF; v: integer) := ib.Value := v;
+  end;
+
+  /// Элемент управления "Вещественное число"
+  RealBlockWPF = class(TextBlockWPF)
+  private 
+    val := 0.0;
+    message: string;
+    procedure CreatePXY(x, y: real; message: string; width: real; initValue: real := 0; fontSize: real := 0);
+    begin
+      inherited CreatePXY(x,y,message + ' ' + initValue.ToString(FracDigits), width, fontSize);
+      Self.message := message;
+      val := initValue;
+    end;
+    procedure CreateP(message: string; initValue: real := 0; fontSize: real := 0) := CreatePXY(-1,-1,message,0,initValue,fontSize);
+  public 
+    constructor Create(message: string; initValue: real := 0; fontSize: real := 0) := Invoke(CreateP, message, initValue, fontSize);
+    constructor Create(x, y: real; message: string; width: real := 0; initValue: real := 0; fontSize: real := 0) := Invoke(CreatePXY, x, y, message, width, initValue, fontSize);
+
+    /// Значение вещественного
+    property Value: real read val write begin val := value; Text := message + ' ' + val.ToString(FracDigits); end;
+    /// Количество цифр после десятичной точки
+    auto property FracDigits: integer := 1;
+    static function operator implicit(ib: RealBlockWPF) := ib.Value;
+    static function operator=(ib: RealBlockWPF; v: real) := ib.Value = v;
+    static function operator=(v: real; ib: RealBlockWPF) := ib.Value = v;
+    static function operator<>(ib: RealBlockWPF; v: real) := ib.Value <> v;
+    static function operator<>(v: real; ib: RealBlockWPF) := ib.Value <> v;
+    static procedure operator+=(rb: RealBlockWPF; v: real);
+    begin
+      rb.Value += v;
+    end;
+    static procedure operator-=(rb: RealBlockWPF; v: real);
+    begin
+      rb.Value -= v;
+    end;
+    static procedure operator:=(rb: RealBlockWPF; v: real) := rb.Value := v;
+  end;
+
+  /// Элемент управления "Текстовое поле"
+  TextBoxNoTitleWPF = class(CommonControlWPF)
+  private
+    property tb: GTextBox read element as GTextBox;
+    
+    procedure SetTextP(t: string) := tb.Text := t;
+    
+    procedure CreatePXY(x,y: real; txt: string; width: real);
+    begin
+      Init0(new GTextBox,width,x,y);
+      Text := txt;
+      tb.TextChanged += (o,e) -> if TextChanged <> nil then TextChanged;
+      element.Focusable := True;
+      //element.HorizontalAlignment := HorizontalAlignment.Stretch;
+    end;
+    procedure CreateP(text: string) := CreatePXY(-1,-1,text,0);
+    
+    procedure CreatePP;
+    begin
+      element := new TextBox();
+      element.Focusable := False;
+      tb.AcceptsReturn := True;
+      //tb.TextWrapping := TextWrapping.Wrap;
+      tb.VerticalScrollBarVisibility := ScrollBarVisibility.Auto;
+      tb.HorizontalScrollBarVisibility := ScrollBarVisibility.Auto;
+      MainDockPanel.children.RemoveAt(MainDockPanel.children.Count-1);
+      MainDockPanel.children.Add(element);
+    end;
+    procedure SetReadOnlyP(value: boolean);
+    begin
+      element.Focusable := not value;
+    end;
+    constructor Create(i: integer) := Invoke(CreatePP);
+  public 
+    /// Событие изменения текста
+    TextChanged: procedure;
+    constructor Create(text: string := '') := Invoke(CreateP, text);
+    constructor Create(x,y: real; text: string := ''; width: real := 0) := Invoke(CreatePXY, x, y, text, width);
+    
+    /// Текст в текстовом поле
+    property Text: string read InvokeString(()->tb.Text) write Invoke(SetTextP, value);
+    /// Добавление строки в конец 
+    procedure Print(s: string);
+    begin
+      Text += s + ' ';
+    end;
+    /// Добавление строки в конец и переход на новую строку
+    procedure Println(s: string);
+    begin
+      Text += s + NewLine;
+    end;
+    /// Очистка текста в текстовом поле
+    procedure Clear := Text := '';
+    /// Разрешено ли ручное редактирование текста
+    property ReadOnly: boolean read InvokeBoolean(()->not element.Focusable) write Invoke(SetReadOnlyP,value);
+  end;
+
+  ///!#
+  ControlWithTitleWPF = class(CommonControlWPF)
+  private
+    property tb: GTextBlock read (element as StackPanel).Children[0] as TextBlock;
+    property MainElement: GControl read (element as StackPanel).Children[1] as GControl;
+    procedure SetTitleP(t: string);
+    begin
+      if t = '' then
+        tb.Visibility := System.Windows.Visibility.Collapsed
+      else tb.Visibility := System.Windows.Visibility.Visible;
+      tb.Text := t;
+    end;
+    procedure SetTitleVisibilityP(v: boolean);
+    begin
+      if v then
+        tb.Visibility := System.Windows.Visibility.Visible
+      else tb.Visibility := System.Windows.Visibility.Collapsed;
+    end;
+    procedure SetHP(h: real) := MainElement.Height := h;
+    
+    function CreateStackPanel(el: FrameworkElement; title: string): StackPanel;
+    begin
+      var sp := new StackPanel;
+      var tb := new TextBlock;
+      tb.Text := title;
+      tb.Margin := new Thickness(0,0,0,3);
+      sp.Children.Add(tb);
+      if title = '' then
+        tb.Visibility := System.Windows.Visibility.Collapsed;
+      sp.Children.Add(el);
+      Result := sp;      
+    end;
+    
+    procedure Init1(el: FrameworkElement; title: string; width: real := 0; x: real := -1; y: real := -1);
+    begin
+      var sp := CreateStackPanel(el,title);
+      Init0(sp,width,x,y);
+    end;
+    procedure SetFSzP(size: real);
+    begin
+      if size<=0 then
+        exit;
+      tb.FontSize := size;
+      MainElement.FontSize := size;
+    end;
+    procedure SetFontNameP(name: string);
+    begin
+      tb.FontFamily := new FontFamily(name);
+      MainElement.FontFamily := new FontFamily(name);
+    end;
+  public 
+    /// Заголовок
+    property Title: string read InvokeString(()->tb.Text) write Invoke(SetTitleP, value); virtual;
+    /// Видим ли заголовок
+    property TitleVisible: boolean read InvokeBoolean(()->tb.Visibility <> System.Windows.Visibility.Collapsed) 
+      write Invoke(SetTitleVisibilityP, value); virtual;
+    /// Высота элемента управления
+    property Height: real read InvokeReal(()->MainElement.ActualHeight) write Invoke(SetHP, value); override;
+    /// Размер шрифта
+    property FontSize: real read InvokeReal(()->MainElement.FontSize) write Invoke(SetFSzP, value); override;
+    /// Имя шрифта
+    property FontName: string write Invoke(SetFontNameP, value); override;
+  end;
+
+  /// Элемент управления "Текстовое поле с заголовком"
+  TextBoxWPF = class(ControlWithTitleWPF)
+  private
+    property tbx: GTextBox read MainElement as TextBox;
+    
+    procedure SetTextP(t: string) := tbx.Text := t;
+    procedure SetMultiLineP(b: boolean) := if b then tbx.TextWrapping := TextWrapping.Wrap else tbx.TextWrapping := TextWrapping.NoWrap;
+
+    procedure CreatePXY(x,y: real; title,txt: string; width: real);
+    begin
+      Init1(new TextBox, title, width, x, y);
+      //tbx.TextWrapping := TextWrapping.Wrap;
+      tbx.Text := txt;
+      tbx.TextChanged += (o,e) -> if ValueChanged <> nil then ValueChanged;
+    end;
+    procedure CreateAsMainControlP;
+    begin
+      element := CreateStackPanel(new TextBox,'');
+      Wrapping := True;
+      tbx.TextChanged += (o,e) -> if ValueChanged <> nil then ValueChanged;
+      MainDockPanel.children.RemoveAt(MainDockPanel.children.Count-1);
+      MainDockPanel.children.Add(element);
+    end;
+    procedure CreateP(title,text: string) := CreatePXY(-1,-1,title,text,0);
+    constructor Create(i: integer) := Invoke(CreateAsMainControlP);
+  public 
+    /// Событие "значение изменилось"
+    ValueChanged: procedure;
+    constructor Create(title: string := '') := Invoke(CreateP, title, '');
+    constructor Create(x,y: real; title: string := ''; width: real := 120) := Invoke(CreatePXY, x, y, title,'', width);
+    
+    /// Очистка текста в текстовом поле
+    procedure Clear := Text := '';
+    /// Текст в текстовом поле
+    property Text: string read InvokeString(()->tbx.Text) write Invoke(SetTextP, value);
+    /// Включён ли режим переноса слов
+    property Wrapping: boolean read InvokeBoolean(()->tbx.TextWrapping = TextWrapping.Wrap) write Invoke(SetMultiLineP, value);
+  end;
+
+  /// Элемент управления "Целое поле"
+  IntegerBoxWPF = class(TextBoxWPF)
+  private
+    function GetValue: integer;
+    begin
+      if Trim(Text) = '' then
+        Result := 0
+      else Result := integer.Parse(Text);
+      Result := Result.Clamp(Minimum,Maximum);
+    end;
+    
+    procedure SetValue(x: integer) := Text := x.Clamp(Minimum,Maximum).ToString;
+    procedure Rest(min,max:integer);
+    begin
+      Invoke(()-> begin
+        Self.Minimum := min;
+        Self.Maximum := max;
+        Value := Minimum;
+        tbx.MouseWheel += (o, e) -> begin
+          if e.Delta > 0 then
+            Value := Value + 1
+          else if e.Delta < 0 then
+            Value := Value - 1
+        end;
+        tbx.KeyDown += (o, e) -> begin
+          if not ((e.Key >= Key.D0) and (e.Key <= Key.D9)) then
+            e.Handled := True;
+        end;
+      end);
+    end;
+  public 
+    constructor Create(title: string := ''; min: integer := 0; max: integer := 10);
+    begin
+      inherited Create(title);
+      Rest(min,max);
+    end;
+    constructor Create(x,y: real; title: string; min,max: integer; width: real := 0);
+    begin
+      inherited Create(x,y,title,width);
+      Rest(min,max);
+    end;
+    
+    /// Минимальное значение в тектовом поле
+    auto property Minimum: integer := 0;
+    /// Максимальное значение в тектовом поле
+    auto property Maximum: integer := 100;
+    /// Текущее значение текстового поля
+    property Value: integer read GetValue write SetValue;
+    
+    static function operator implicit(ib: IntegerBoxWPF) := ib.Value;
+    static function operator=(ib: IntegerBoxWPF; v: integer) := ib.Value = v;
+    static function operator=(v: integer; ib: IntegerBoxWPF) := ib.Value = v;
+    static function operator<>(ib: IntegerBoxWPF; v: integer) := ib.Value <> v;
+    static function operator<>(v: integer; ib: IntegerBoxWPF) := ib.Value <> v;
+    static procedure operator:=(ib: IntegerBoxWPF; v: integer) := ib.Value := v;
+  end;
+
+  /// Элемент управления "Список"
+  ListBoxWPF = class(ControlWithTitleWPF)
+  protected
+    function lb: GListBox := MainElement as GListBox;
+    procedure CreatePXY(x,y: real; title: string; width,height: real);
+    begin
+      Init1(new GListBox,title,width,x,y);
+      //element.HorizontalAlignment := HorizontalAlignment.Stretch;
+      Self.Height := height;
+      lb.SelectionChanged += (o,e) -> if SelectionChanged<>nil then SelectionChanged;
+    end;
+    procedure CreateP(title: string; height: real) := CreatePXY(-1,-1,title,0,height);
+    
+    procedure AddP(s: string);
+    begin
+      var lbi := new ListBoxItem();
+      lbi.Content := s;
+      lb.Items.Add(lbi);
+    end;  
+
+    procedure AddRangeP(ss: sequence of string);
+    begin
+      foreach var s in ss do
+        AddP(s);  
+    end;  
+    
+    procedure SortP := lb.Items.SortDescriptions.Add(new SortDescription('Content', ListSortDirection.Ascending));
+    procedure SortPDescending := lb.Items.SortDescriptions.Add(new SortDescription('Content', ListSortDirection.Descending));
+  public 
+    /// Событие, возникающее при изменении текущего выделения
+    SelectionChanged: procedure;
+    constructor Create(title: string := ''; height: real := 150):= Invoke(CreateP, title, height);
+    constructor Create(x,y: real; title: string := ''; width: real := 150; height: real := 150):= Invoke(CreatePXY, x, y, title, width, height);
+    /// Сортировка строк в списке по возрастанию
+    procedure Sort := Invoke(SortP);
+    /// Сортировка строк в списке по убыванию
+    procedure SortDescending := Invoke(SortPDescending);
+    /// Добавляет элемент в список
+    procedure Add(s: string) := Invoke(AddP, s);
+    /// Добавляет набор элементов в список
+    procedure AddRange(params ss: array of string) := Invoke(AddRangeP, ss);
+    /// Количество элементов в списке
+    property Count: integer read InvokeInteger(()->lb.Items.Count);
+    /// Индекс выбранного элемента
+    property SelectedIndex: integer read InvokeInteger(()->lb.SelectedIndex) write Invoke(procedure(t: integer) -> lb.SelectedIndex := t, value);
+    /// Текст выбранного элемента
+    property SelectedText: string read InvokeString(()->(lb.SelectedItem as ListBoxItem).Content.ToString) 
+      write Invoke(procedure(t: string) -> (lb.SelectedItem as ListBoxItem).Content := t, value);
+  end;
+  
+  /// Элемент управления "Раскрывающийся список"
+  ComboBoxWPF = class(ControlWithTitleWPF)
+  private
+    property cb: ComboBox read MainElement as ComboBox;
+    
+    procedure CreatePXY(x,y: real; title: string; width: real);
+    begin
+      Init1(new ComboBox, title, width, x, y);
+      cb.SelectionChanged += (o,e) -> if SelectionChanged <> nil then SelectionChanged;
+    end;
+    procedure CreateP(title: string) := CreatePXY(-1,-1,title,0);
+    procedure AddP(s: string);
+    begin
+      cb.Items.Add(s);
+      if cb.Items.Count = 1 then
+        cb.SelectedIndex := 0;
+    end;
+    procedure AddRangeP(params ss: array of string);
+    begin
+      foreach var s in ss do
+        AddP(s);
+    end;
+  public 
+    /// Событие, возникающее при изменении текущего выделения
+    SelectionChanged: procedure;
+    constructor Create(title: string := '') := Invoke(CreateP, title);
+    constructor Create(x,y: real; title: string := ''; width: real := 120) := Invoke(CreatePXY, x, y, title, width);
+
+    /// Добавляет элемент в список
+    procedure Add(s: string) := Invoke(AddP, s);
+    /// Добавляет набор элементов в список
+    procedure AddRange(params ss: array of string) := Invoke(AddRangeP, ss);
+    /// Выбранная строка
+    function SelectedText := InvokeString(()->cb.SelectedItem as string);
+    /// Индекс выбранной строки
+    function SelectedIndex := InvokeInteger(()->cb.SelectedIndex);
+    property Items[i: integer]: string read InvokeString(()->cb.Items[i] as string); default;
+  end;
+
+  SliderBase = class(ControlWithTitleWPF)
+  private
+    titl: string; // часть заголовка без числа
+    function sl: Slider := MainElement as Slider;
+    function GetMinimum: real := InvokeReal(()->sl.Minimum);
+    procedure SetMinimumP(r: real) := sl.Minimum := r;
+    procedure SetMinimum(r: real) := Invoke(SetMinimumP, r);
+    function GetMaximum: real := InvokeReal(()->sl.Maximum);
+    procedure SetMaximumP(r: real) := sl.Maximum := r;
+    procedure SetMaximum(r: real) := Invoke(SetMaximumP, r);
+    function GetValue: real := InvokeReal(()->sl.Value);
+    procedure SetValueP(r: real) := sl.Value := r;
+    procedure SetValue(r: real) := Invoke(SetValueP, r);
+    function GetFrequency: real := InvokeReal(()->sl.TickFrequency);
+    procedure SetFrequencyP(r: real) := sl.TickFrequency := r;
+    procedure SetFrequency(r: real) := Invoke(SetFrequencyP, r);
+  private 
+    procedure CreatePXY(x,y: real; title: string; min, max, val, freq: real; width: real);
+    begin
+      Init1(new Slider,title,width,x,y);
+      Remainder(title,min, max, val, freq);
+    end;
+    procedure Remainder(tit: string; min, max, val, freq: real);
+    begin
+      titl := tit;
+      sl.ValueChanged += procedure(o, e) -> if ValueChanged <> nil then ValueChanged;
+      sl.ValueChanged += procedure(o, e) -> if title <> '' then tb.Text := Title + ' ' + sl.Value;
+      if titl <> '' then tb.Text := Title + ' ' + sl.Value;
+      sl.TickPlacement := System.Windows.Controls.Primitives.TickPlacement.BottomRight;
+      sl.Minimum := min;
+      sl.Maximum := max;
+      sl.Value := val.Clamp(min,max);
+      if freq<=0 then
+        sl.TickFrequency := (max-min)/10
+      else sl.TickFrequency := freq;
+      sl.Foreground := Brushes.Black;
+      sl.IsSnapToTickEnabled := True;
+    end;
+    procedure CreateP(title: string; min, max, val, freq: real) := CreatePXY(-1, -1, title, min, max, val, freq, 0);
+    procedure SetTitleP1(tit: string);
+    begin
+      titl := tit;
+      SetTitleP(tit +' ' + sl.Value);
+    end;
+  public 
+    /// Событие, возникающее при изменении значения
+    ValueChanged: procedure;
+    /// Заголовок
+    property Title: string read InvokeString(()->titl) write Invoke(SetTitleP1, value); override;
+  end;
+  
+  /// Элемент управления "Слайдер" с целыми значениями
+  SliderWPF = class(SliderBase)
+  private
+    procedure CreatePXYI(x,y: real; title: string; min, max, val, freq: integer; width: integer);
+    begin
+      Init1(new Slider,title,width,x,y);
+      if freq<=0 then
+        freq := (max-min) div 10;
+      if freq = 0 then
+        freq := 1;
+      Remainder(title,min, max, val, freq);
+    end;
+    procedure CreatePI(title: string; min, max, val, freq: integer) := CreatePXYI(-1, -1, title, min, max, val, freq, 0);
+  public 
+    constructor Create(min, max: integer; val: integer := integer.MinValue; freq: integer := 0) 
+      := Invoke(CreatePI, '', min, max, val, freq);
+    constructor Create(title: string := '');
+    begin
+      Create(title, 0, 10, 0);
+    end;
+    constructor Create(title: string; min, max: integer; val: integer := integer.MinValue; freq: integer := 0) 
+      := Invoke(CreatePI, title, min, max, val, freq);
+    constructor Create(x,y: real; title: string; min, max: integer; width: integer; val: integer := integer.MinValue; freq: integer := 0) 
+      := Invoke(CreatePXYI, x,y,title,min, max, val, freq, width);
+    /// Минимальное значение 
+    property Minimum: integer read GetMinimum.Round write SetMinimum(value);
+    /// Максимальное значение 
+    property Maximum: integer read GetMaximum.Round write SetMaximum(value);
+    /// Текущее значение 
+    property Value: integer read GetValue.Round write SetValue(value);
+    /// Интервал между делениями
+    property Frequency: integer read GetFrequency.Round write SetFrequency(value);
+  end;
+
+  /// Элемент управления "Слайдер" с вещественными значениями
+  SliderRealWPF = class(SliderBase)
+  public 
+    constructor Create(min, max: real; val: real := real.MinValue; freq: real := 0) := Invoke(CreateP, '', min, max, val, freq);
+    constructor Create(title: string := '') := Create(title, 0, 10, 0);
+    constructor Create(title: string; min, max: real; val: real := real.MinValue; freq: real := 0) := Invoke(CreateP, title, min, max, val, freq);
+    constructor Create(x,y: real; title: string; min, max: real; width: real; val: real := real.MinValue; freq: real := 0) := Invoke(CreatePXY, x,y,title,min, max, val, freq, width);
+    /// Минимальное значение 
+    property Minimum: real read GetMinimum write SetMinimum;
+    /// Максимальное значение 
+    property Maximum: real read GetMaximum write SetMaximum;
+    /// Текущее значение 
+    property Value: real read GetValue write SetValue;
+    /// Интервал между делениями
+    property Frequency: real read GetFrequency write SetFrequency;
+  end;
+  
+  /// Элемент управления "Флажок"
+  CheckBoxWPF = class(ClickableControlWPF)
+  private
+    property cb: CheckBox read element as CheckBox;
+  protected 
+    procedure CreatePXY(x,y: real; text: string; width: real);
+    begin
+      Init0(new CheckBox,width,x,y);
+      cb.Content := text;
+      cb.Click += ClickP;
+    end;
+    procedure CreateP(text: string) := CreatePXY(-1,-1,text,0);
+  public 
+    constructor Create(text: string) := Invoke(CreateP, text);
+    constructor Create(x,y: real; text: string; width: real := 0) := Invoke(CreatePXY, x,y,text,width);
+    
+    /// Текст элемента управления
+    property Text: string read InvokeString(()->cb.Content as string) write Invoke(procedure(t: string) -> cb.Content := t, value);
+    /// Включен ли флажок
+    property Checked: boolean read InvokeBoolean(()->cb.IsChecked.Value) write Invoke(procedure(t: boolean) -> cb.IsChecked := t, value);
+  end;
+
+  /// Элемент управления "Переключатель"
+  RadioButtonWPF = class(ClickableControlWPF)
+  private
+    property rb: RadioButton read element as RadioButton;
+  protected 
+    procedure CreatePXY(x,y: real; text: string; width: real);
+    begin
+      Init0(new RadioButton,width,x,y);
+      rb.Content := text;
+      rb.Click += ClickP;
+    end;
+    procedure CreateP(text: string) := CreatePXY(-1,-1,text,0);
+  public 
+    constructor Create(text: string) := Invoke(CreateP, text);
+    constructor Create(x,y: real; text: string; width: real := 0) := Invoke(CreatePXY, x,y,text,width);
+
+    /// Текст элемента управления
+    property Text: string read InvokeString(()->rb.Content as string) write Invoke(procedure(t: string) -> rb.Content := t, value);
+    /// Включена ли радиокнопка
+    property Checked: boolean read InvokeBoolean(()->rb.IsChecked.Value) write Invoke(procedure(t: boolean) -> rb.IsChecked := t, value);
+  end;
+  
+  /// Элемент управления "Строка статуса"
+  StatusBarWPF = class(CommonControlWPF)
+  private
+    property sb: GStatusBar read element as GStatusBar;
+    procedure SetTextP(text: string) := (sb.Items[0] as StatusBarItem).Content := text;
+    procedure SetTextPI(i: integer; text: string) := (sb.Items[i] as StatusBarItem).Content := text;
+  protected 
+    procedure CreateP(height: real; itemWidth: real);
+    begin
+      element := new GStatusBar;
+      element.Focusable := False;
+      element.Height := height;
+      DockPanel.SetDock(sb, Dock.Bottom);
+      MainDockPanel.children.Insert(0, sb);
+      
+      var sbi := new StatusBarItem();
+      sbi.Content := '';
+      if itemWidth > 0 then 
+        sbi.Width := itemWidth;
+      sb.Items.Add(sbi);
+      
+      // последняя фиктивная панель - для заполнения
+      sbi := new StatusBarItem();
+      sbi.Content := '';
+      sb.Items.Add(sbi);
+    end;
+    procedure AddItemP(text: string; itemWidth: real);
+    begin
+      var sbi := new StatusBarItem();
+      sbi.Content := text;
+      if itemWidth > 0 then 
+        sbi.Width := itemWidth;
+      sb.Items.Insert(sb.Items.Count-1,sbi);
+    end;
+  public
+    constructor Create(height: real := 24; itemWidth: real := 0) := Invoke(CreateP,height,itemWidth);
+    /// Добавить текстовое поле указанной ширины к строке статуса
+    procedure AddText(text: string; itemWidth: real := 0) := Invoke(AddItemP,text,itemWidth);
+
+    /// Текст основного текстового поля в строке статуса
+    property Text: string read InvokeString(()->(sb.Items[0] as StatusBarItem).Content as string) 
+      write Invoke(SetTextP,value);
+    /// Текст i-того текстового поля в строке статуса
+    property ItemText[i: integer]: string read InvokeString(()->(sb.Items[i] as StatusBarItem).Content as string)
+      write Invoke(SetTextPI,i,value);
+  end;
+  
+  /// Элемент управления "Канва"
+  CanvasWPF = class(CommonControlWPF)
+  protected
+    property can: Canvas read element as Canvas;
+    procedure CreatePP;
+    begin
+      element := new Canvas();
+      element.Focusable := False;
+      MainDockPanel.children.RemoveAt(MainDockPanel.children.Count-1);
+      MainDockPanel.children.Add(can);
+      __SetActivePanelInternal(can);
+      //ActivePanel := can;
+    end;
+    constructor (i: integer) := Invoke(CreatePP); // фиктивный первый параметр
+    procedure SetColorP(c: GColor);
+    begin
+      can.Background := GetBrush(c); 
+    end;
+    function GetColorP := (can.Background as SolidColorBrush).Color;
+  public 
+    /// Цвет элемента управления
+    property Color: GColor read Invoke&<GColor>(GetColorP) write Invoke(SetColorP, value);
+  end;
+
+function GetProperties<T>(t1: T): sequence of string;
+function GetFields<T>(t1: T): sequence of string;
+
+type  
+  /// Элемент управления "Список данных"
+  ListViewWPF = class(CommonControlWPF)
+  private
+    gv: GridView;
+    property lv: ListView read element as ListView;
+    procedure CreatePP;
+    begin
+      element := new ListView();
+      element.Focusable := False;
+      MainDockPanel.children.RemoveAt(MainDockPanel.children.Count-1);
+      MainDockPanel.children.Add(lv);
+      gv := new GridView;
+      lv.View := gv;
+    end;
+    function ColumnCountP: integer := gv.Columns.Count;
+    function RowCountP: integer := lv.Items.Count;
+    constructor (i: integer);
+    begin
+      Invoke(CreatePP);
+    end;
+  public
+    /// Заполнить элемент управления данными
+    procedure Fill<T>(data: sequence of T); 
+    begin
+      Invoke(()-> begin
+      var properties := GetProperties(data.First);
+      gv.Columns.Clear;
+      foreach var fld in properties do
+      begin
+        var col := new GridViewColumn; 
+        col.Header := fld; 
+        col.Width := 150; 
+        col.DisplayMemberBinding := new System.Windows.Data.Binding(fld); 
+        gv.Columns.Add(col); 
+      end;
+      lv.ItemsSource := data;
+      end);
+    end;
+    /// Очистить данные
+    procedure Clear;
+    begin
+      Invoke(()-> begin
+        gv.Columns.Clear;
+      end);
+    end;
+    /// Установить заголовки для данных
+    procedure SetHeaders(params a: array of string);
+    begin
+      Invoke(()-> begin
+        for var i:=0 to a.Length - 1 do
+          gv.Columns[i].Header := a[i];
+      end);
+    end;
+    /// Число столбцов данных
+    function ColumnCount: integer := InvokeInteger(ColumnCountP);
+    /// Число строк данных
+    function RowCount: integer := InvokeInteger(RowCountP);
+  end;
+
+  ///!#
+  /// Пункт меню
+  MenuItemWPF = class
+  private
+    mi: MenuItem;
+    litem := new List<MenuItemWPF>;
+    procedure CreateP(mii: MenuItem; text: string);
+    begin
+      mi := mii;
+      mi.Header := text;
+      mi.Click += (o,e) -> begin
+        if Click<>nil then Click;
+      end;  
+    end;
+    constructor Create(mi: MenuItem; text: string) := Invoke(CreateP,mi,text);
+    procedure SetTextP(text: string);
+    begin
+      mi.Header := text;
+    end;
+    function AddMenuItemP(text: string; p: procedure): MenuItemWPF;
+    begin
+      if text='-' then
+      begin
+        mi.Items.Add(new Separator);
+        exit
+      end;
+      var mii := new MenuItem;
+      mii.Header := text;
+      mi.Items.Add(mii);
+      mii.Click += (o,e)->if Click<>nil then Click;
+      Result := new MenuItemWPF(mii,text);
+      Result.Click := p;
+      litem.Add(Result);
+    end;
+    procedure AddSeparatorP := mi.Items.Add(new Separator);
+  public
+    /// Событие выбора пункта меню
+    Click: procedure;
+    /// Текст пункта меню
+    property Text: string read InvokeString(()-> mi.Header as string) write Invoke(SetTextP,text);
+    /// Набор пунктов меню
+    property Items[i: integer]: MenuItemWPF read Invoke&<MenuItemWPF>(()->litem[i]); default;
+    /// Добавить пункт подменю
+    function Add(text: string; p: procedure := nil): MenuItemWPF 
+      := Invoke&<MenuItemWPF>(()->AddMenuItemP(text,p));
+
+    /// Добавить разделитель
+    procedure AddSeparator := Invoke(AddSeparatorP);
+    /// Добавить набор пунктов меню
+    procedure AddRange(params items: array of string);
+    begin
+      foreach var it in items do
+        Add(it);
+    end;
+  end;
+  
+  /// Элемент управления "Главное меню"
+  MenuWPF = class(CommonControlWPF)
+  private
+    litem := new List<MenuItemWPF>;
+    property m: Menu read element as Menu;
+    procedure CreatePP;
+    begin
+      element := new Menu();
+      element.Height := 20;
+      DockPanel.SetDock(m, Dock.Top);
+      MainDockPanel.children.Insert(0,element);
+    end;
+    function AddMenuItemP(text: string): MenuItemWPF;
+    begin
+      var mi := new MenuItem;
+      mi.Header := text;
+      m.Items.Add(mi);
+      Result := new MenuItemWPF(mi,text);
+      litem.Add(Result);
+    end;
+  public
+    constructor Create := Invoke(CreatePP);
+    property Items[i: integer]: MenuItemWPF read Invoke&<MenuItemWPF>(()->litem[i]); default;
+
+    /// Добавить пункт горизонтального меню
+    function Add(text: string): MenuItemWPF := Invoke&<MenuItemWPF>(()->AddMenuItemP(text));
+    /// Добавить набор пунктов меню
+    procedure AddRange(params items: array of string);
+    begin
+      foreach var it in items do
+        Add(it);
+    end;
+  end;
+  
+  ///!#
+  /// Статический класс для создания главных элементов управления
+  SetMainControl = static class
+  public  
+    static function AsImage: ImageWPF := new ImageWPF(0);
+    static function AsCanvas: CanvasWPF := new CanvasWPF(0);
+    static function AsListView: ListViewWPF := new ListViewWPF(0);
+    static function AsTextBox: TextBoxNoTitleWPF := new TextBoxNoTitleWPF(0);
+    static function AsGrid(rows: integer := 1; columns: integer := 1): GridWPF := new GridWPF(true,rows,columns);
+  end;
+  
+  ///!#
+  /// Базовый  класс стандартных окон диалога
+  FileDialogWPF = class
+  private  
+    d: Microsoft.Win32.FileDialog;
+    procedure SetFilterP(value: string) := d.Filter := value;
+    procedure SetInitialDirectoryP(value: string) := d.InitialDirectory := value;
+    function ShowDialogP: boolean;
+    begin
+      var r := d.ShowDialog;
+      Result := r.HasValue and r.Value;
+    end;
+  public
+    function ShowDialog: boolean := InvokeBoolean(ShowDialogP);
+    function FileName: string := InvokeString(()->d.FileName);
+    property Filter: string read InvokeString(()->d.Filter) write Invoke(SetFilterP,value);
+    property InitialDirectory: string read InvokeString(()->d.InitialDirectory) write Invoke(SetInitialDirectoryP,value);
+  end;
+  
+  /// Стандартное окно диалога открытия файла
+  OpenFileDialogWPF = class(FileDialogWPF)
+  private  
+    procedure CreateP(initDirectory,filter: string);
+    begin
+      d := new Microsoft.Win32.OpenFileDialog;
+      d.InitialDirectory := initDirectory;
+      d.Filter := filter;
+    end;  
+  public
+    constructor Create(initDirectory: string := ''; filter: string := '') := Invoke(CreateP,initDirectory,filter);
+  end;
+
+  /// Стандартное окно диалога сохранения файла
+  SaveFileDialogWPF = class(FileDialogWPF)
+  private  
+    procedure CreateP(initDirectory,filter: string);
+    begin
+      d := new Microsoft.Win32.SaveFileDialog;
+      d.InitialDirectory := initDirectory;
+      d.Filter := filter;
+    end;  
+  public
+    constructor Create(initDirectory: string := ''; filter: string := '') := Invoke(CreateP,initDirectory,filter);
+  end;
+  
+{-----------------------------------------------------}
+// Для каждого контрола - пара функций. 
+// Функция без координат и ширины рассчитана на создание внутри вертикальной StackPanel (LeftPanel, RightPanel)
+// Panel - вспомогательная, нужна только для создания LeftPanel, RightPanel
+
+/// Элемент управления "Кнопка" 
+function Button(Txt: string; fontSize: real := 0): ButtonWPF;
+/// Элемент управления "Кнопка" с заданными координатами
+function Button(x, y: real; Txt: string; width: real := 0; fontSize: real := 0): ButtonWPF;
+
+/// Элемент управления "Текст" 
+function TextBlock(Txt: string; fontSize: real := 0): TextBlockWPF;
+/// Элемент управления "Текст" с заданными координатами
+function TextBlock(x, y: real; Txt: string; width: real := 0; fontSize: real := 0): TextBlockWPF;
+
+/// Элемент управления "Целое число"
+function IntegerBlock(message: string; initValue: integer := 0; fontSize: real := 0): IntegerBlockWPF;
+/// Элемент управления "Целое число" с заданными координатами
+function IntegerBlock(x, y: real; message: string; width: real := 0; initValue: integer := 0; fontSize: real := 0): IntegerBlockWPF;
+
+/// Элемент управления "Вещественное число"
+function RealBlock(message: string; initValue: real := 0; fontSize: real := 0): RealBlockWPF;
+/// Элемент управления "Вещественное число" с заданными координатами
+function RealBlock(x, y: real; message: string; width: real := 0; initValue: real := 0; fontSize: real := 0): RealBlockWPF;
+
+/// Элемент управления "Флажок" 
+function CheckBox(text: string): CheckBoxWPF;
+/// Элемент управления "Флажок" с заданными координатами
+function CheckBox(x, y: real; text: string; width: real := 0): CheckBoxWPF;
+
+/// Элемент управления "Переключатель" 
+function RadioButton(text: string): RadioButtonWPF;
+/// Элемент управления "Переключатель" с заданными координатами
+function RadioButton(x, y: real; text: string; width: real := 0): RadioButtonWPF;
+
+
+/// Элемент управления "Текстовое поле с заголовком"
+function TextBox(text: string := ''): TextBoxWPF;
+/// Элемент управления "Текстовое поле с заголовком" с заданными координатами
+function TextBox(x, y: real; text: string := ''; width: real := 0): TextBoxWPF;
+
+/// Элемент управления "Целое поле" с диапазоном 0..10
+function IntegerBox(title: string): IntegerBoxWPF;
+/// Элемент управления "Целое поле" с заданным диапазоном значений
+function IntegerBox(title: string; min,max: integer): IntegerBoxWPF;
+/// Элемент управления "Целое поле" с заданными координатами
+function IntegerBox(x, y: real; title: string; min,max: integer; width: real := 0): IntegerBoxWPF;
+
+/// Элемент управления "Список"
+function ListBox(title: string := ''; height: real := 150): ListBoxWPF;
+/// Элемент управления "Список" с заданными координатами
+function ListBox(x,y: real; title: string := ''; width: real := 150; height: real := 150): ListBoxWPF;
+
+/// Элемент управления "Слайдер с вещественными значениями"
+function SliderReal(title: string := ''): SliderRealWPF;
+/// Элемент управления "Слайдер с вещественными значениями" с заданным диапазоном значений и заголовком
+function SliderReal(title: string; min,max: real; val: real := real.MinValue; freq: real := 0): SliderRealWPF;
+/// Элемент управления "Слайдер с вещественными значениями" с заданным диапазоном значений
+function SliderReal(min, max: real; val: real := real.MaxValue; freq: real := 0): SliderRealWPF;
+/// Элемент управления "Слайдер с вещественными значениями" с заданными координатами
+function SliderReal(x,y: real; title: string; min,max: real; width: real; val: real := real.MinValue; freq: real := 0): SliderRealWPF;
+
+/// Элемент управления "Слайдер"
+function Slider(title: string := ''): SliderWPF;
+/// Элемент управления "Слайдер" с заданным диапазоном значений и заголовком
+function Slider(title: string; min,max: integer; val: integer := integer.MinValue; freq: integer := 0): SliderWPF;
+/// Элемент управления "Слайдер" с заданным диапазоном значений
+function Slider(min, max: integer; val: integer := integer.MinValue; freq: integer := 0): SliderWPF;
+/// Элемент управления "Слайдер" с заданными координатами
+function Slider(x,y: real; title: string; min,max: integer; width: integer; val: integer := integer.MinValue; freq: integer := 0): SliderWPF;
+
+/// Элемент управления "Изображение"
+function Image(name: string): ImageWPF;
+/// Элемент управления "Изображение" с заданными координатами
+function Image(x,y: real; name: string; width: real := 0): ImageWPF;
+
+/// Элемент управления "Раскрывающийся список"
+function ComboBox(title: string := ''): ComboBoxWPF;
+/// Элемент управления "Раскрывающийся список" с заданными координатами
+function ComboBox(x,y: real; title: string := ''; width: real := 120): ComboBoxWPF;
+
+/// Элемент управления "Главное меню"
+function Menu: MenuWPF;
+
+/// Стандартное окно диалога открытия файла
+function OpenFileDialog(initDirectory: string := ''; filter: string := ''): OpenFileDialogWPF;
+/// Стандартное окно диалога сохранения файла
+function SaveFileDialog(initDirectory: string := ''; filter: string := ''): SaveFileDialogWPF;
+
+/// Элемент управления "Левая панель"
+function LeftPanel(width: real; c: Color; InternalMargin: real := 10): PanelWPF;
+/// Элемент управления "Левая панель"
+function LeftPanel(width: real := 150): PanelWPF;
+/// Элемент управления "Правая панель"
+function RightPanel(width: real; c: Color; InternalMargin: real := 10): PanelWPF;
+/// Элемент управления "Правая панель"
+function RightPanel(width: real := 150): PanelWPF;
+
+/// Элемент управления "Строка статуса"
+function StatusBar(height: real := 24; itemWidth: real := 0): StatusBarWPF;
+
+/// Пустой блок для задания промежутков между компонентами
+procedure EmptyBlock(sz: integer := 16);
+
+/// Установка активной панели, на которую размещаются элементы управления
+procedure SetActivePanel(p: CommonElementWPF);
+
+/// Толщина границ элемента
+function Margins(l,t,r,b: real): (real,real,real,real);
+
+/// Толщина границ элемента
+function Margins(all: real): (real,real,real,real);
+
+/// Графическое окно
+//function Window: WindowType;
+
+///--
+procedure __InitModule__;
+///--
+procedure __FinalizeModule__;
+
+implementation
+
+//uses GraphWPF;
+uses System.Windows; 
+uses System.Windows.Controls;
+uses System.Windows.Controls.Primitives;
+uses System.Windows.Media.Imaging;
+
+//function Window: WindowType := GraphWPF.Window;
+
+function Button(Txt: string; fontSize: real): ButtonWPF := ButtonWPF.Create(Txt,fontSize);
+function Button(x, y: real; Txt: string; width: real; fontSize: real): ButtonWPF := ButtonWPF.Create(x, y, Txt, width, fontSize);
+
+function TextBlock(Txt: string; fontSize: real): TextBlockWPF := TextBlockWPF.Create(Txt, fontSize);
+function TextBlock(x, y: real; Txt: string; width: real; fontSize: real): TextBlockWPF := TextBlockWPF.Create(x, y, Txt, width, fontSize);
+
+function IntegerBlock(message: string; initValue: integer; fontSize: real): IntegerBlockWPF := IntegerBlockWPF.Create(message, initValue, fontSize);
+function IntegerBlock(x, y: real; message: string; width: real; initValue: integer; fontSize: real): IntegerBlockWPF := IntegerBlockWPF.Create(x,y,message,width,initValue,fontSize);
+
+function RealBlock(message: string; initValue: real; fontSize: real): RealBlockWPF := RealBlockWPF.Create(message, initValue, fontSize);
+function RealBlock(x, y: real; message: string; width: real; initValue: real; fontSize: real): RealBlockWPF := RealBlockWPF.Create(x,y,message,width,initValue,fontSize);
+
+function CheckBox(text: string): CheckBoxWPF := CheckBoxWPF.Create(text);
+function CheckBox(x, y: real; text: string; width: real): CheckBoxWPF := CheckBoxWPF.Create(x,y,text,width);
+
+function RadioButton(text: string): RadioButtonWPF := RadioButtonWPF.Create(text);
+function RadioButton(x, y: real; text: string; width: real): RadioButtonWPF := RadioButtonWPF.Create(x,y,text,width);
+
+function TextBox(text: string): TextBoxWPF := TextBoxWPF.Create(text);
+function TextBox(x, y: real; text: string; width: real): TextBoxWPF := TextBoxWPF.Create(x,y,text,width);
+
+function IntegerBox(title: string): IntegerBoxWPF := IntegerBoxWPF.Create(title,0,10);
+function IntegerBox(title: string; min,max: integer): IntegerBoxWPF := IntegerBoxWPF.Create(title,min,max);
+function IntegerBox(x, y: real; title: string; min,max: integer; width: real) := IntegerBoxWPF.Create(x,y,title,min,max,width);
+
+function ListBox(title: string; height: real): ListBoxWPF := ListBoxWPF.Create(title,height);
+function ListBox(x,y: real; title: string; width: real; height: real): ListBoxWPF := ListBoxWPF.Create(x,y,title,width,height);
+
+function SliderReal(title: string): SliderRealWPF := SliderRealWPF.Create(title,0, 10, 0, 0);
+function SliderReal(title: string; min, max, val, freq: real): SliderRealWPF;
+begin
+  if val = real.MinValue then
+    val := min;
+  Result := SliderRealWPF.Create(title, min, max, val, freq);
+end;
+function SliderReal(min, max, val, freq: real): SliderRealWPF := SliderReal('',min, max, val, freq);
+function SliderReal(x,y: real; title: string; min,max,width,val,freq: real): SliderRealWPF;
+begin
+  if val = real.MinValue then
+    val := min;
+  Result := SliderRealWPF.Create(x, y, title, min, max, width, val, freq);
+end;  
+
+function Slider(title: string): SliderWPF := SliderWPF.Create(title);
+function Slider(title: string; min, max, val, freq: integer): SliderWPF;
+begin
+  if val = real.MinValue then
+    val := min;
+  Result := SliderWPF.Create(title, min, max, val, freq);
+end;
+function Slider(min, max, val, freq: integer): SliderWPF := Slider('',min, max, val, freq);
+function Slider(x,y: real; title: string; min,max,width,val,freq: integer): SliderWPF;
+begin
+  if val = real.MinValue then
+    val := min;
+  Result := SliderWPF.Create(x, y, title, min, max, width, val, freq);
+end;  
+
+function Image(name: string): ImageWPF := new ImageWPF(name);
+function Image(x,y: real; name: string; width: real): ImageWPF := new ImageWPF(x,y,name,width);
+
+function ComboBox(title: string): ComboBoxWPF := new ComboBoxWPF(title);
+function ComboBox(x,y: real; title: string; width: real): ComboBoxWPF := new ComboBoxWPF(x,y,title,width);
+
+function Menu: MenuWPF := new MenuWPF;
+
+function OpenFileDialog(initDirectory: string; filter: string) := new OpenFileDialogWPF(initDirectory,filter);
+function SaveFileDialog(initDirectory: string; filter: string) := new SaveFileDialogWPF(initDirectory,filter);
+
+function LeftPanel(width: real; c: Color; internalMargin: real) := new LeftPanelWPF(width,c,internalMargin);
+function LeftPanel(width: real): PanelWPF := new LeftPanelWPF(width,PanelsColor,10);
+
+function RightPanel(width: real; c: Color; internalMargin: real) := new RightPanelWPF(width,c,internalMargin);
+function RightPanel(width: real): PanelWPF := new RightPanelWPF(width,PanelsColor,10);
+
+
+function StatusBar(height: real; itemWidth: real): StatusBarWPF := new StatusBarWPF(height,itemWidth);
+
+
+procedure EmptyBlock(sz: integer);
+begin
+  var e := TextBlock('');
+  e.Height := sz;
+  e.Width := sz;
+end;
+
+function GetProperties<T>(t1: T): sequence of string;
+begin
+  var props := t1.GetType.GetProperties();
+  Result := props.OrderBy(f->f.CustomAttributes.FirstOrDefault?.ToString ?? 'NoAttr').Select(f->f.Name);
+end;
+
+function GetFields<T>(t1: T): sequence of string;
+begin
+  var flds := t1.GetType.GetFields();
+  //var flds := t1.GetType.GetFields(System.Reflection.BindingFlags.Instance or System.Reflection.BindingFlags.Public or System.Reflection.BindingFlags.NonPublic);
+  Result := flds.OrderBy(f->f.CustomAttributes.FirstOrDefault?.ToString ?? 'NoAttr').Select(f->f.Name);
+end;
+
+type ControlsCannotBeRunWithoutGraphModules = class(System.ApplicationException) end;
+
+procedure Invoke(d: System.Delegate; params args: array of object);
+begin
+  if app = nil then
+    raise new ControlsCannotBeRunWithoutGraphModules('Модуль Controls должен испольоваться только совместно с модулями GraphWPF и WPFObjects либо Graph3D');
+  GraphWPFBase.Invoke(d, args);
+end;
+ 
+procedure InvokeP(p: procedure(r: real); r: real);
+begin
+  if app = nil then
+    raise new ControlsCannotBeRunWithoutGraphModules('Модуль Controls должен испольоваться только совместно с модулями GraphWPF и WPFObjects либо Graph3D');
+  GraphWPFBase.Invoke(p,r); 
+end;  
+  
+function Invoke<T>(d: Func0<T>): T;
+begin
+  if app = nil then
+    raise new ControlsCannotBeRunWithoutGraphModules('Модуль Controls должен испольоваться только совместно с модулями GraphWPF и WPFObjects либо Graph3D');
+  Result := T(app.Dispatcher.Invoke(d));
+end;  
+ 
+procedure __SetActivePanelInternal(p: GPanel);
+begin
+  Invoke(()->begin
+    _ActivePanel := p;
+  end);
+end;
+
+procedure SetActivePanel(p: CommonElementWPF);
+begin
+  if p.element is GPanel then
+    __SetActivePanelInternal(p.element as GPanel)
+end;
+
+procedure SetActivePanelInit;
+begin
+  __SetActivePanelInternal(MainWindow.MainPanel.Children[0] as GPanel);
+  //ActivePanel := MainWindow.MainPanel.Children[0] as GPanel
+end;
+
+function __ActivePanelInternal: GPanel;
+begin
+  if _ActivePanel = nil then 
+    Invoke(SetActivePanelInit);
+  Result := _ActivePanel;
+end;
+
+function Margins(l,t,r,b: real): (real,real,real,real) := (l,t,r,b);
+
+function Margins(all: real): (real,real,real,real) := (all,all,all,all);
+
+procedure CommonElementWPF.Init0(el: FrameworkElement; width: real; x: real; y: real);
+begin
+  element := el;
+  element.Focusable := False;
+  if __ActivePanelInternal is StackPanel(var sp) then
+    if sp.Orientation = Orientation.Vertical then
+      element.Margin := new Thickness(0,0,0,GlobalHMargin);
+    //else element.Margin := new Thickness(0,0,GlobalHMargin,0);
+  if x<>-1 then
+  begin
+    element.SetLeft(x);
+    element.SetTop(y);
+  end;
+  if width>0 then
+    element.Width := width;
+  __ActivePanelInternal.Children.Add(element);
+  if __ActivePanelInternal.Tag is PanelWPF(var pwpf) then
+    PanelWPF.SetFSzElement(element,pwpf.fsize);
+  if __ActivePanelInternal.Tag is GridWPF(var grwpf) then
+    element.Margin := new Thickness(grwpf.InternalMargin);
+end;
+
+
+var
+  ///--
+  __initialized := false;
+
+var
+  ///--
+  __finalized := false;
+
+///--
+procedure __InitModule__;
+begin
+  if not __initialized then
+  begin
+    __initialized := true;
+    
+  end;
+end;
+
+///--
+procedure __FinalizeModule__;
+begin
+  if not __finalized then
+  begin
+    __finalized := true;
+  end;
+end;
+  
+initialization
+finalization  
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/LightPT.pas b/TestSuite/CompilationSamples/LightPT.pas
new file mode 100644
index 000000000..a5e61c853
--- /dev/null
+++ b/TestSuite/CompilationSamples/LightPT.pas
@@ -0,0 +1,3083 @@
+/// Модуль LightPT автоматической легковесной проверки заданий
+unit LightPT;
+{$reference System.Net.Http.dll}
+{$reference System.Security.dll}
+
+interface
+
+uses System.Runtime.InteropServices;
+
+{==============================================================}
+{                  Класс для формирования вывода               }
+{==============================================================}
+type
+  /// Класс для формирования вывода
+  ObjectList = class
+    lst := new List<object>;
+  public
+    static function New: ObjectList := ObjectList.Create;
+    procedure Add(o: object) := lst.Add(o);
+    function AddRange(sq: sequence of integer): ObjectList; begin lst.AddRange(sq.Select(x -> object(x))); Result := Self end;
+    function AddRange(sq: sequence of real): ObjectList; begin lst.AddRange(sq.Select(x -> object(x))); Result := Self end;
+    function AddRange(sq: sequence of string): ObjectList; begin lst.AddRange(sq.Select(x -> object(x))); Result := Self end;
+    function AddRange(sq: sequence of char): ObjectList; begin lst.AddRange(sq.Select(x -> object(x))); Result := Self end;
+    function AddRange(sq: sequence of boolean): ObjectList; begin lst.AddRange(sq.Select(x -> object(x))); Result := Self end;
+    function AddRange(sq: sequence of object): ObjectList; begin lst.AddRange(sq); Result := Self end;
+    function AddRange(sq: sequence of System.Type): ObjectList; begin lst.AddRange(sq.Select(x -> object(x))); Result := Self end;
+    function AddFill(n: integer; elem: object): ObjectList; begin lst.AddRange(ArrFill(n,elem)); Result := Self end;
+    function AddArithm(n: integer; a0,step: integer): ObjectList; begin lst.AddRange(ArrGen(n,a0,x->x+step).Select(x -> object(x))); Result := Self end;
+    function AddArithm(n: integer; a0,step: real): ObjectList; begin lst.AddRange(ArrGen(n,a0,x->x+step).Select(x -> object(x))); Result := Self end;
+    function AddFib(n: integer): ObjectList; begin lst.AddRange(ArrGen(n,1,1,(x,y)->x+y).Select(x -> object(x))); Result := Self end;
+    function AddGeom(n: integer; a0,step: integer): ObjectList; begin lst.AddRange(ArrGen(n,a0,x->x*step).Select(x -> object(x))); Result := Self end;
+    function AddGeom(n: integer; a0,step: real): ObjectList; begin lst.AddRange(ArrGen(n,a0,x->x*step).Select(x -> object(x))); Result := Self end;
+  end;
+  
+{==================================================================================}
+{                                  Сервисные типы                                  }
+{==================================================================================}
+type
+  MessageColorT = (MsgColorGreen, MsgColorRed, MsgColorOrange, MsgColorMagenta, MsgColorGray);
+  TaskStatus = (NotUnderControl, Solved, IOError, BadSolution, PartialSolution, InitialTask, BadInitialTask, InitialTaskPT4, ErrFix, Demo); // Короткий результат для БД
+
+{==================================================================================}
+{     Переопределенные функций стандартного модуля с заполнением ввода и вывода    }
+{==================================================================================}
+/// Возвращает случайное целое в диапазоне от a до b
+function Random(a, b: integer): integer;
+/// Возвращает случайное целое в диапазоне от 0 до n-1
+function Random(n: integer): integer;
+/// Возвращает случайное вещественное в диапазоне [0..1)
+function Random: real;
+/// Возвращает случайное вещественное в диапазоне [a,b)
+function Random(a, b: real): real;
+/// Возвращает случайное вещественное в диапазоне [a,b] c количеством значащих цифр после точки, равным digits
+function RandomReal(a, b: real; digits: integer := 1): real;
+/// Возвращает случайный символ в диапазоне от a до b
+function Random(a, b: char): char;
+/// Возвращает случайное целое в диапазоне 
+function Random(diap: IntRange): integer;
+/// Возвращает случайное вещественное в диапазоне 
+function Random(diap: RealRange): real;
+/// Возвращает случайный символ в диапазоне 
+function Random(diap: CharRange): char;
+
+/// Возвращает кортеж из двух случайных целых в диапазоне от a до b
+function Random2(a, b: integer): (integer, integer);
+/// Возвращает кортеж из двух случайных вещественных в диапазоне от a до b
+function Random2(a, b: real): (real, real);
+/// Возвращает кортеж из двух случайных символов в диапазоне от a до b
+function Random2(a, b: char): (char, char);
+/// Возвращает кортеж из двух случайных целых в диапазоне
+function Random2(diap: IntRange): (integer, integer);
+/// Возвращает кортеж из двух случайных символов в диапазоне
+function Random2(diap: CharRange): (char, char);
+/// Возвращает кортеж из двух случайных вещественных в диапазоне
+function Random2(diap: RealRange): (real, real);
+
+/// Возвращает кортеж из трех случайных целых в диапазоне от a до b
+function Random3(a, b: integer): (integer, integer, integer);
+/// Возвращает кортеж из трех случайных вещественных в диапазоне от a до b
+function Random3(a, b: real): (real, real, real);
+/// Возвращает кортеж из трех случайных символов в диапазоне от a до b
+function Random3(a, b: char): (char, char, char);
+/// Возвращает кортеж из трех случайных целых в диапазоне
+function Random3(diap: IntRange): (integer, integer, integer);
+/// Возвращает кортеж из трех случайных вещественных в диапазоне
+function Random3(diap: RealRange): (real, real, real);
+/// Возвращает кортеж из трех случайных символов в диапазоне
+function Random3(diap: CharRange): (char, char, char);
+
+/// Возвращает массив размера n, заполненный случайными целыми значениями в диапазоне от a до b
+function ArrRandomInteger(n: integer; a: integer; b: integer): array of integer;
+/// Возвращает массив размера n, заполненный случайными целыми значениями в диапазоне от 0 до 100
+function ArrRandomInteger(n: integer): array of integer;
+/// Возвращает массив размера n, заполненный случайными вещественными значениями в диапазоне от a до b 
+function ArrRandomReal(n: integer; a: real; b: real; digits: integer := 1): array of real;
+
+/// Возвращает массив размера n, заполненный случайными вещественными значениями  в диапазоне от 0 до 10
+function ArrRandomReal(n: integer; digits: integer := 1): array of real;
+
+/// Возвращает двумерный массив размера m x n, заполненный случайными целыми значениями
+function MatrRandomInteger(m: integer; n: integer; a: integer; b: integer): array [,] of integer;
+/// Возвращает двумерный массив размера m x n, заполненный случайными целыми значениями
+function MatrRandomInteger(m: integer; n: integer): array [,] of integer;
+/// Возвращает двумерный массив размера m x n, заполненный случайными вещественными значениями
+function MatrRandomReal(m: integer; n: integer; a: real; b: real): array [,] of real;
+/// Возвращает двумерный массив размера m x n, заполненный случайными вещественными значениями
+function MatrRandomReal(m: integer; n: integer): array [,] of real;
+
+/// Возвращает двумерный массив размера m x n, заполненный элементами gen(i,j) 
+//function MatrGen<T>(m, n: integer; gen: (integer,integer)->T): array [,] of T;
+
+/// Выводит приглашение к вводу и возвращает значение типа integer, введенное с клавиатуры
+function ReadInteger(prompt: string): integer;
+/// Выводит приглашение к вводу и возвращает два значения типа integer, введенные с клавиатуры
+function ReadInteger2(prompt: string): (integer, integer);
+/// Выводит приглашение к вводу и возвращает значение типа integer, введенное с клавиатуры
+function ReadlnInteger(prompt: string): integer;
+
+/// Выводит приглашение к вводу и возвращает значение типа string, введенное с клавиатуры
+function ReadString(prompt: string): string;
+/// Выводит приглашение к вводу и возвращает значение типа string, введенное с клавиатуры
+function ReadlnString(prompt: string): string;
+
+
+///- procedure Print(a,b,...);
+/// Выводит значения a,b,... на экран, после каждого значения выводит пробел
+procedure Print(params args: array of object);
+///- procedure Println(a,b,...);
+/// Выводит значения a,b,... на экран, после каждого значения выводит пробел и переходит на новую строку
+procedure Println(params args: array of object);
+/// Выводит значение экран и выводит пробел
+procedure Print(ob: object);
+/// Выводит значение экран и выводит пробел
+procedure Print(s: string);
+/// Выводит значение экран и выводит пробел
+procedure Print(c: char);
+
+{=========================================================================}
+{                        Сервисные процедуры                              }
+{=========================================================================}
+
+// Вывести цветовое сообщение в окно вывода
+procedure ColoredMessage(msg: string; color: MessageColorT);
+
+// Вывести сообщение красным цветом в окно вывода
+procedure ColoredMessage(msg: string);
+
+function ToObjArray(a: sequence of integer): array of object;
+
+function ToObjArray(a: sequence of real): array of object;
+
+function ToObjArray(a: sequence of string): array of object;
+
+function ToObjArray(a: sequence of char): array of object;
+
+function ToObjArray(a: sequence of boolean): array of object;
+
+
+
+{=========================================================================}
+{        Основные процедуры для проверки правильности ввода-вывода        }
+{=========================================================================}
+
+// Самые часто используемые: CheckInput, CheckOutput, CheckOutputSeq
+
+/// Проверить типы вводимых данных
+procedure CheckInput(a: array of System.Type);
+/// Проверить значения при выводе
+procedure CheckOutput(params arr: array of object);
+/// Проверить значения при выводе. Сообщения ColoredMessage гасить. Нужно для повторных вызовов CheckOutput
+procedure CheckOutputSilent(params arr: array of object);
+
+
+/// Проверить, что данные не вводились
+procedure CheckInputIsEmpty;
+
+/// Проверить, что помимо начального ввода других данных не вводилось
+procedure CheckInputIsInitial;
+
+/// Синоним CheckInput
+procedure CheckInputTypes(a: array of System.Type);
+
+/// Проверить количество вводимых данных
+procedure CheckInputCount(n: integer);
+/// Проверить количество вводимых данных
+procedure CheckInput2Count(i: integer);
+/// Проверить количество выводимых данных
+procedure CheckOutput2Count(i: integer);
+
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of integer);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of real);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of string);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of char);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of boolean);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of object);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: sequence of word);
+/// Проверить последовательность значений при выводе
+procedure CheckOutputSeq(a: ObjectList);
+
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of integer);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of real);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of string);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of char);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of boolean);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of object);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: sequence of word);
+/// Проверить последовательность значений при выводе. Не выводить сообщения ColoredMessages
+procedure CheckOutputSeqSilent(a: ObjectList);
+
+/// Проверить вывод в виде строки
+procedure CheckOutputString(str: string);
+
+/// Сравнить типы выведенных значений с указанными
+procedure CompareTypeWithOutput(params a: array of System.Type);
+
+/// Сравнить два значения
+function CompareValues(o1, o2: Object): boolean;
+
+/// Сравнить два массива
+function CompareArrValues(a,lst: array of object): boolean;
+
+/// Сравнить значения с выводом
+function CompareValuesWithOutput(params a: array of object): boolean;
+
+// Для совместимости
+procedure CheckOutputNew(params arr: array of object);
+procedure CheckOutputSeqNew(a: sequence of integer);
+procedure CheckOutputSeqNew(a: sequence of real);
+procedure CheckOutputSeqNew(a: sequence of string);
+procedure CheckOutputSeqNew(a: sequence of char);
+procedure CheckOutputSeqNew(a: sequence of boolean);
+procedure CheckOutputSeqNew(a: sequence of object);
+procedure CheckOutputSeqNew(a: sequence of word);
+procedure CheckOutputSeqNew(a: ObjectList);
+
+{============================================================================================}
+{   Подпрограммы для проверки начального ввода-вывода, представленного в заготовке задания   }
+{============================================================================================}
+
+/// Проверить типы данных начального ввода, начального вывода и ввода. Если ввод Input = nil, то он совпадает с начальным вводом
+procedure CheckData(InitialInput: array of System.Type := nil; 
+  InitialOutput: array of System.Type := nil; 
+  Input: array of System.Type := nil);
+
+procedure CheckInitialIO;
+procedure CheckInitialIOIsEmpty;
+procedure InitialOutput(a: array of System.Type);
+procedure InitialInput(a: array of System.Type);
+//procedure CheckInitialOutputValues(params a: array of object); - тут значений быть не должно!
+procedure CheckInitialOutput(params a: array of System.Type);
+procedure CheckInitialInput(params a: array of System.Type);
+
+procedure CheckInitialOutputSeq(a: sequence of System.Type);
+procedure CheckInitialInputSeq(a: sequence of System.Type);
+
+procedure CheckInitialIOSeqs(input,output: sequence of System.Type);
+
+procedure CheckOutputAfterInitial(params arr: array of object); // проверить только то, что после исходного вывода
+
+procedure CheckOutputAfterInitialSilent(params arr: array of object); 
+
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: sequence of integer);
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: sequence of real);
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: sequence of string);
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: sequence of boolean);
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: sequence of char);
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: sequence of object);
+/// Проверить последовательность значений при выводе после начального вывода
+procedure CheckOutputAfterInitialSeq(seq: ObjectList);
+
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of integer);
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of real);
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of string);
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of boolean);
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of char);
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of object);
+/// Проверить последовательность значений при выводе после начального вывода. Не выводить сообщения ColoredMessages
+procedure CheckOutputAfterInitialSeqSilent(seq: ObjectList);
+
+{=========================================================}
+{       Функции для проверки элементов ввода-вывода       }
+{=========================================================}
+
+/// i-тый элемент ввода - целое 
+function IsInt(i: integer): boolean;
+/// i-тый элемент ввода - вещественное 
+function IsRe(i: integer): boolean;
+/// i-тый элемент ввода - строка 
+function IsStr(i: integer): boolean;
+/// i-тый элемент ввода - логическое 
+function IsBoo(i: integer): boolean;
+/// i-тый элемент ввода - символ 
+function IsChr(i: integer): boolean;
+
+/// i-тый элемент вывода - целое 
+function OutIsInt(i: integer): boolean;
+/// i-тый элемент вывода - вещественное 
+function OutIsRe(i: integer): boolean;
+/// i-тый элемент вывода - строка 
+function OutIsStr(i: integer): boolean;
+/// i-тый элемент вывода - логическое 
+function OutIsBoo(i: integer): boolean;
+/// i-тый элемент вывода - символ 
+function OutIsChr(i: integer): boolean;
+
+/// i-тый элемент ввода как целое 
+function Int(i: integer): integer;
+/// i-тый элемент ввода как вещественное 
+function Re(i: integer): real;
+/// i-тый элемент ввода как строка 
+function Str(i: integer): string;
+/// i-тый элемент ввода как логическое 
+function Boo(i: integer): boolean;
+/// i-тый элемент ввода как символ 
+function Chr(i: integer): char;
+
+/// i-тый элемент вывода как целое 
+function OutInt(i: integer): integer;
+/// i-тый элемент вывода как вещественное 
+function OutRe(i: integer): real;
+/// i-тый элемент вывода как строка 
+function OutBoo(i: integer): boolean;
+/// i-тый элемент вывода как логическое 
+function OutChr(i: integer): char;
+/// i-тый элемент вывода как символ 
+function OutStr(i: integer): string;
+
+/// Следующий элемент ввода как целое 
+function Int: integer;
+/// Следующий элемент ввода как вещественное
+function Re: real;
+/// Следующий элемент ввода как строка
+function Str: string;
+/// Следующий элемент ввода как логическое
+function Boo: boolean;
+/// Следующий элемент ввода как символ
+function Chr: char;
+
+/// Следующие два элемента ввода как целые 
+function Int2: (integer, integer);
+/// Следующие два элемента ввода как вещественные 
+function Re2: (real, real);
+
+/// Следующие n элементов ввода как массив целых
+function IntArr(n: integer): array of integer;
+/// Следующие n элементов ввода как массив вещественных
+function ReArr(n: integer): array of real;
+/// Следующие n элементов ввода как массив логических
+function BooArr(n: integer): array of boolean;
+/// Следующие n элементов ввода как массив символов
+function ChrArr(n: integer): array of char;
+/// Следующие n элементов ввода как массив строк
+function StrArr(n: integer): array of string;
+
+// функции, возвращающие входные и выходные списки, а также их срезы, приведенные к нужному типу
+
+function InputListAsIntegers: array of integer;
+function InputListAsReals: array of real;
+function InputListAsBooleans: array of boolean;
+function InputListAsChars: array of char;
+function InputListAsStrings: array of string;
+
+function OutputListAsIntegers: array of integer;
+function OutputListAsReals: array of real;
+function OutputListAsBooleans: array of boolean;
+function OutputListAsChars: array of char;
+function OutputListAsStrings: array of string;
+
+function InSliceIntArr(a,b: integer): array of integer;
+function InSliceReArr(a,b: integer): array of real;
+function InSliceBooArr(a,b: integer): array of boolean;
+function InSliceChrArr(a,b: integer): array of char;
+function InSliceStrArr(a,b: integer): array of string;
+
+/// Срез элементов вывода от a до b как массив целых
+function OutSliceIntArr(a,b: integer): array of integer;
+/// Срез элементов вывода от a до b как массив вещественных
+function OutSliceReArr(a,b: integer): array of real;
+/// Срез элементов вывода от a до b как массив логических
+function OutSliceBooArr(a,b: integer): array of boolean;
+/// Срез элементов вывода от a до b как массив символов
+function OutSliceChrArr(a,b: integer): array of char;
+/// Срез элементов вывода от a до b как массив строк
+function OutSliceStrArr(a,b: integer): array of string;
+
+{=========================================================}
+{      Тип TestCell и функции для генерации тестов        }
+{=========================================================}
+type 
+  [StructLayout(LayoutKind.Explicit)]
+  /// Ячейка генерации данных для тестов
+  TestCell = class
+  public
+    [FieldOffset(0)]
+    typ: System.Type;
+    [FieldOffset(8)]
+    a: integer; 
+    [FieldOffset(12)]
+    b: integer; 
+    [FieldOffset(8)]
+    ra: real;
+    [FieldOffset(16)]
+    rb: real;
+    [FieldOffset(24)]
+    digits: integer;
+    [FieldOffset(8)]
+    ca: char;
+    [FieldOffset(10)]
+    cb: char;
+    constructor (typ: System.Type);
+    begin
+      Self.typ := typ;
+    end;
+    function GenerateData: object;
+    begin
+      if typ = typeof(integer) then
+        Result := Random(a,b)
+      else if typ = typeof(char) then 
+        Result := Random(ca,cb)
+      else if typ = typeof(real) then 
+        Result := RandomReal(ra,rb,digits)
+      else if typ = typeof(boolean) then 
+        Result := Random(2)=0 ? False : True
+      else Result := nil;
+    end;
+  end;
+  
+/// Сгенерировать по последовательности спецификаций в тестовых ячейках список данных для теста
+function GenValuesByTestCells(a: sequence of TestCell): List<object>;
+  
+/// Сгенерировать целую тестовую ячейку
+function tInt(a: integer := 1; b: integer := 10): TestCell;
+
+/// Сгенерировать вещественную тестовую ячейку
+function tRe(ra: real := 1; rb: Real := 10; digits: integer := 0): TestCell;
+
+/// Сгенерировать символьную тестовую ячейку
+function tChr(ca: char := 'а'; cb: char := 'я'): TestCell;
+
+/// Сгенерировать логическую тестовую ячейку
+function tBoo: TestCell;
+
+
+{=========================================================}
+{                Процедуры генерации ошибок               }
+{=========================================================}
+
+/// Генерация ошибки неверного количества входных значений
+procedure ErrorInputCount(Count, n: integer);
+
+/// Генерация ошибки неверного количества выходных значений
+procedure ErrorOutputCount(Count, n: integer);
+
+/// Генерация ошибки неверного типа n-того входного значения
+procedure ErrorInputType(n: integer; ExpectedType, ActualType: string);
+
+/// Генерация ошибки неверного типа n-того выходного значения
+procedure ErrorOutputType(n: integer; ExpectedType, ActualType: string);
+
+
+{=========================================================}
+{       Процедура генерации автоматических тестов         }
+{=========================================================}
+
+function AutoTest: integer->();
+
+/// Генерация автоматических тестов - повторно вызывается заполнение из основной программы. Не использовать если в основной программе есть Read!!!
+procedure GenerateAutoTests(n: integer);
+
+/// Генерация тестов по описанию тестовых данных
+procedure GenerateTests(n: integer; testcells: sequence of TestCell);
+
+/// Генерация тестов по набору значений тестовых данных
+procedure GenerateTests(params a: array of integer);
+
+/// Генерация тестов по набору значений тестовых данных
+procedure GenerateTests(params a: array of real);
+
+/// Генерация тестов по набору значений тестовых данных
+procedure GenerateTests(params a: array of string);
+
+/// Генерация тестов по набору значений тестовых данных
+procedure GenerateTests(params a: array of char);
+
+/// Генерация тестов по набору значений тестовых данных
+procedure GenerateTests(params a: array of boolean);
+
+/// Генерация тестов по набору кортежей тестовых данных
+procedure GenerateTests<T1,T2>(params a: array of (T1,T2));
+
+/// Генерация тестов по набору кортежей тестовых данных
+procedure GenerateTests<T1,T2,T3>(params a: array of (T1,T2,T3));
+
+{=========================================================}
+{               Фильтрация выходного списка               }
+{=========================================================}
+/// Преобразование строк, являющихся целыми, в целые в OutputList
+procedure ConvertStringsToNumbersInOutputList;
+/// Если в OutputList массивы, вытянуть их в единый список
+procedure FlattenOutput;
+/// Очистить выходной список от пробелов
+procedure ClearOutputListFromSpaces;
+/// Отфильтровать в выходном списке только числа
+procedure FilterOnlyNumbers;
+/// Отфильтровать в выходном списке только числа и логические
+procedure FilterOnlyNumbersAndBools;
+
+var 
+  TaskResult: TaskStatus := NotUnderControl; // Записывается в БД
+  /// Строка, содержащая вывод. Нужна для проверки решения как многострочной строки 
+  OutputString := new StringBuilder;     
+  /// Список выведенных элементов
+  OutputList := new List<object>;
+  /// Список введенных элементов
+  InputList := new List<object>;
+  /// Список типов элементов, выведенных в заготовке задания (cRe, cInt и т.д.)
+  InitialOutputList := new List<System.Type>; 
+  /// Список типов элементов, введенных в заготовке задания
+  InitialInputList := new List<System.Type>;  
+  /// Ссылка на основную процедуру проверки в модуле Task
+  CheckTask: procedure(name: string);
+  /// Погасить сообщения о неверном вводе-выводе если задача содержит только начальный ввод-вывод
+  CancelMessagesIfInitial := True;
+  /// Тихий режим - сообщения ColoredMessage гасятся. Нужен для обработки нескольких вызовов CheckOutput
+  Silent := False;  
+
+/// Целый тип для проверки ввода-вывода
+function cInt: System.Type;
+/// Вещественный тип для проверки ввода-вывода
+function cRe: System.Type;
+/// Строковый тип для проверки ввода-вывода
+function cStr: System.Type;
+/// Логический тип для проверки ввода-вывода
+function cBool: System.Type;
+/// Символьный тип для проверки ввода-вывода
+function cChar: System.Type;
+
+type 
+  /// Константа для обозначения пустого ввода или вывода
+  EmptyType = (Empty);
+  TestModeType = (tmNone, tmTest, tmGenTest, tmAutoTest);
+  
+var
+  TestCount := 0;
+  GenerateTestData: integer -> () := nil;
+  TestMode: TestModeType := tmNone;
+  TestNumber: integer;
+
+implementation
+
+uses __RedirectIOMode;
+
+uses System.Management;
+uses System.Security.Cryptography;
+uses System.IO;
+
+uses System;
+uses System.Net.Http;
+uses System.Threading.Tasks;
+
+// Исключения - для вывода сообщения
+// TaskResult - для базы данных
+// Запоминать исключение в глобальной переменной TaskException - для доп. параметров для БД в формате 
+//   ПодтипИсключения(парам1,...,парамn)
+// Эту строку также можно писать в БД как доп параметры TaskResultInfo
+// Чем хороши исключения - их можно делать разными с абсолютно разными параметрами
+
+// Сервисная функция - чтобы можно было вводу, начальному вводу или начальному выводу в CheckData присвоить Empty вместо nil
+function operator implicit(Self: EmptyType): array of System.Type; extensionmethod := nil;
+
+const lightptname = 'lightpt.dat';
+
+type
+  LightPTException = class(Exception) 
+    function Info: string; virtual := 'NoInfo';
+  end;
+
+var
+  CreateNewLineBeforeMessage := False;
+  TaskResultInfo: string; // доп. информация о результате. Как правило пуста. Или содержит TaskException.Info. Или содержит для Solved и BadSolution информацию о модуле: Robot, Drawman, PT4
+  TaskException: LightPTException := new LightPTException;
+
+  WriteInfoCallBack: procedure (LessonName,TaskName,TaskPlatform: string; result: TaskStatus; AdditionalInfo: string);
+
+  LessonName: string := '';
+  TaskNamesMap := new Dictionary<string,string>;
+  
+  ServerAddr := 'https://air.mmcs.sfedu.ru/pascalabc';
+
+{=========================================================}
+{                  Типы, связанные с сетью                }
+{=========================================================}
+type 
+  UserTypeEnum = (None, Student, Teacher, Admin);
+  ServerAccessProvider = class
+  private
+    client: HTTPClient;
+  public
+    ServerAddr: string;
+    auto property ShortFIO: string; 
+    auto property FullFIO: string; 
+    auto property Password: string; 
+    auto property Group: string; 
+    auto property UserType: UserTypeEnum; 
+    constructor (ServerAddr: string);
+    begin
+      Self.ServerAddr := ServerAddr;
+      client := new HttpClient();
+      client.Timeout := TimeSpan.FromSeconds(10);
+    end;
+    
+    function SendPostRequest(FullFIO, Password, LessonName, TaskName, TaskPlatform, TaskResult, text, TaskResultInfo: string): Task<string>;
+    begin
+      var values := Dict(
+        ( 'shortFIO', '' ),  
+        ( 'FIO', FullFIO ),
+        ( 'taskName', TaskName ),
+        ( 'lessonName', LessonName ),
+        ( 'taskPlatform', TaskPlatform ),
+        ( 'taskResult', TaskResult ),
+        ( 'taskResultInfo', TaskResultInfo ),
+        ( 'content', text ),
+        ( 'password', Password )
+      );
+      var content := new FormUrlEncodedContent(values);
+      var response := client.PostAsync(ServerAddr + '/add.php', content);
+      Result := response.Result.Content.ReadAsStringAsync();
+    end;
+  end;
+
+{=========================================================}
+{               Типы исключений при решении               }
+{=========================================================}
+type
+  InputCountException = class(LightPTException) // Ровно Count 
+    Count: integer; // Count - сколько введено
+    n: integer;     // n - сколько требуется ввести
+    constructor(Count, n: integer);
+    begin
+      Self.Count := Count;
+      Self.n := n;
+      TaskResult := IOError;
+      TaskException := Self;
+    end;
+    
+    function Info: string; override := $'InputCount({Count},{n})';
+  end;
+  InputCount2Exception = class(LightPTException) // Не меньше Count
+    Count: integer; // Count - сколько введено
+    i: integer;     // i - какой номер требуется ввести (с нуля)
+    constructor(Count, i: integer);
+    begin
+      Self.Count := Count;
+      Self.i := i;
+      TaskResult := IOError;
+      TaskException := Self;
+    end;
+    
+    function Info: string; override := $'InputCount2({Count},{i})';
+  end;
+  
+  InputCountTest2Exception = class(LightPTException) // Не меньше Count
+    Count: integer; // Count - сколько введено
+    i: integer;     // i - какой номер требуется ввести (с нуля)
+    constructor(Count, i: integer);
+    begin
+      Self.Count := Count;
+      Self.i := i;
+    end;
+    
+    function Info: string; override := $'InputCountTest2({Count},{i})';
+  end;
+
+  InputTypeException = class(LightPTException)
+    n: integer; // номер параметра
+    ExpectedType, ActualType: string;
+    constructor(n: integer; ExpectedType, ActualType: string);
+    begin
+      Self.n := n;
+      Self.ExpectedType := ExpectedType;
+      Self.ActualType := ActualType;
+      TaskResult := IOError;
+      TaskException := Self;
+    end;
+    
+    function Info: string; override := $'InputType({n},{ExpectedType},{ActualType})';
+  end;
+  
+    InputTypeTestException = class(LightPTException)
+    n: integer; // номер параметра
+    ExpectedType, ActualType: string;
+    constructor(n: integer; ExpectedType, ActualType: string);
+    begin
+      Self.n := n;
+      Self.ExpectedType := ExpectedType;
+      Self.ActualType := ActualType;
+    end;
+    
+    function Info: string; override := $'InputTypeTest({n},{ExpectedType},{ActualType})';
+  end;
+
+  OutputCountException = class(LightPTException) // Ровно Count 
+    Count: integer; // Count - сколько выведено
+    n: integer;     // n - сколько требуется вывести
+    constructor(Count, n: integer);
+    begin
+      Self.Count := Count;
+      Self.n := n;
+      TaskResult := IOError;
+      TaskException := Self;
+    end;
+    
+    function Info: string; override := $'OutputCount({Count},{n})';
+  end;
+  OutputCount2Exception = class(LightPTException) // Ровно Count 
+    Count: integer; // Count - сколько выведено
+    i: integer;     // n - какой номер требуется вывести
+    constructor(Count, i: integer);
+    begin
+      Self.Count := Count;
+      Self.i := i;
+      TaskResult := IOError;
+      TaskException := Self;
+    end;
+    
+    function Info: string; override := $'Output2Count({Count},{i})';
+  end;
+  OutputTypeException = class(LightPTException)
+    n: integer; // номер параметра
+    ExpectedType, ActualType: string;
+    constructor(n: integer; ExpectedType, ActualType: string);
+    begin
+      Self.n := n;
+      Self.ExpectedType := ExpectedType;
+      Self.ActualType := ActualType;
+      TaskResult := IOError;
+      TaskException := Self;
+    end;
+    
+    function Info: string; override := $'OutputType({n},{ExpectedType},{ActualType})';
+  end;
+  
+  NotInTestGenModeException = class(LightPTException)
+    FuncName: string;
+    constructor (FuncName: string) := Self.Funcname := Funcname;
+  end;
+
+  NotInTestModeException = class(LightPTException)
+    FuncName: string;
+    constructor (FuncName: string) := Self.Funcname := Funcname;
+  end;
+
+  InputTestCountMismatchException = class(LightPTException);
+  
+  InputTestTypesMismatchException = class(LightPTException);
+  
+var
+  CurPosInInputList := 0;
+  CurPosInInputListInTestMode := 0;
+  TaskName := ExtractFileName(System.Environment.GetCommandLineArgs[0]).Replace('.exe', '');
+
+{=========================================================}
+{                Функции для генерации тестов             }
+{=========================================================}
+
+/// Сгенерировать по последовательности спецификаций в тестовых ячейках список данных для теста
+function GenValuesByTestCells(a: sequence of TestCell): List<object>;
+begin
+  Result := a.Select(tc -> tc.GenerateData).ToList;
+end;
+  
+/// Сгенерировать целую тестовую ячейку
+function tInt(a: integer; b: integer): TestCell;
+begin
+  Result := new TestCell(typeof(integer));
+  Result.a := a;
+  Result.b := b;
+end;
+
+/// Сгенерировать вещественную тестовую ячейку
+function tRe(ra: real; rb: real; digits: integer): TestCell;
+begin
+  Result := new TestCell(typeof(real));
+  Result.ra := ra;
+  Result.rb := rb;
+  Result.digits := digits;
+end;
+
+/// Сгенерировать символьную тестовую ячейку
+function tChr(ca: char; cb: char): TestCell;
+begin
+  Result := new TestCell(typeof(char));
+  Result.ca := ca;
+  Result.cb := cb;
+end;
+
+/// Сгенерировать логическую тестовую ячейку
+function tBoo: TestCell;
+begin
+  Result := new TestCell(typeof(boolean));
+end;
+
+function operator*(cell: TestCell; n: integer): array of TestCell; extensionmethod;
+begin
+  Result := ArrFill(n,cell)
+end;
+
+function operator*(n: integer; cell: TestCell): array of TestCell; extensionmethod;
+begin
+  Result := ArrFill(n,cell)
+end;
+
+function operator*(cell: System.Type; n: integer): array of System.Type; extensionmethod;
+begin
+  Result := ArrFill(n,cell)
+end;
+
+function operator*(n: integer; cell: System.Type): array of System.Type; extensionmethod;
+begin
+  Result := ArrFill(n,cell)
+end;
+
+{=========================================================}
+{                    Сервисные функции                    }
+{=========================================================}
+
+procedure ErrorInputCount(Count, n: integer) := raise new InputCountException(Count,n);
+
+procedure ErrorOutputCount(Count, n: integer) := raise new OutputCountException(Count,n);
+
+procedure ErrorInputType(n: integer; ExpectedType, ActualType: string)
+  := raise new InputTypeException(n,ExpectedType,ActualType);
+
+procedure ErrorOutputType(n: integer; ExpectedType, ActualType: string)
+  := raise new OutputTypeException(n,ExpectedType,ActualType);
+  
+function AutoTest: integer->() := testnum -> (TestMode := tmAutoTest);
+
+procedure GenerateAutoTests(n: integer);
+begin
+  TestCount := n;
+  GenerateTestData := AutoTest;
+end;
+
+procedure GenerateTests(n: integer; testcells: sequence of TestCell);
+begin
+  // Нужно сравнить типы в InputList и здесь. При несоотверствии бросить исключение
+  // Это можно делать только здесь - где количество входных данных заранее известно
+  // В задачах где вначале вводится n, а потом массив из n элементов, это не работает - количество данных меняется от теста нк тесту
+  var testTypes := testcells.Select(ts -> ts.typ).ToArray;
+  var inputTypes := InputList.Select(ob -> ob.GetType).ToArray;
+  if (testTypes.Length <> inputTypes.Length) then
+    raise new InputTestCountMismatchException;
+  for var i:=0 to testTypes.Length - 1 do
+    if (testTypes[i] <> inputTypes[i]) then
+      raise new InputTestTypesMismatchException;
+    
+  TestCount := n;
+  GenerateTestData := tnum -> begin
+    InputList := GenValuesByTestCells(testcells);
+  end;
+end;
+
+var 
+  _isPT, _isRobot, _isDrawman, _isLightPT: boolean;
+  _IsPTcalculated := False;
+  _IsLightPTcalculated := False;
+  _IsRobotcalculated := False;
+  _IsDrawmancalculated := False;
+  
+/// Является ли задание заданием для задачника PT
+function IsPT: boolean;
+begin
+  if _IsPTcalculated then
+    Result := _isPT
+  else Result := System.Type.GetType('PT4.PT4') <> nil;
+  _isPT := Result;
+  _IsPTcalculated := True;
+end;  
+
+/// Является ли задание заданием для Робота
+function IsRobot: boolean;
+begin
+  if _IsRobotcalculated then
+    Result := _isRobot
+  else Result := System.Type.GetType('RobotField.RobotField') <> nil;
+  _isRobot := Result;
+  _IsRobotcalculated := True;
+end; 
+
+/// Является ли задание заданием для Чертежника
+function IsDrawman: boolean;
+begin
+  if _IsDrawmancalculated then
+    Result := _isDrawman
+  else Result := System.Type.GetType('DrawManField.DrawManField') <> nil;
+  _isDrawman := Result;
+  _IsDrawmancalculated := True;
+end; 
+
+/// Является ли задание заданием для легковесного задачника
+function IsLightPT: boolean;
+begin
+  if _IsLightPTcalculated then
+    Result := _IsLightPT
+  else Result := not IsPT and not IsRobot and not IsDrawman;
+  _IsLightPT := Result;
+  _IsLightPTcalculated := True;
+end; 
+
+/// надо ли пополнять список ввода в функциях, используемых для ввода
+function NeedAddDataToInputList: boolean := IsLightPT and ((TestMode = tmNone) or (TestMode = tmAutoTest));
+
+/// Полный путь к папке auth-файла
+function FindAuthDat: string;
+begin
+  var auth := 'auth.dat';
+  Result := '';
+  // В текущем каталоге
+  if FileExists(auth) then
+    Result := ExpandFileName(auth)
+  // Если нет, в каталоге уровня выше
+  else if FileExists(System.IO.Path.Combine('..',auth)) then
+  begin  
+    Result := ExpandFileName(System.IO.Path.Combine('..',auth))
+  end
+  // Если нет, в корневом каталоге сетевого диска - Это не работает на старых Win 10 куда не устанавливается NET 4/7/1
+  {else begin
+    var fullname := ExpandFileName(auth);
+    var drive := ExtractFileDrive(fullname);
+    var di := new System.IO.DriveInfo(drive);
+    if di.DriveType = System.IO.DriveType.Network then
+    begin
+      var af := System.IO.Path.Combine(di.RootDirectory.FullName,auth);
+      if FileExists(af) then
+        Result := af;
+    end
+  end;}
+end;
+
+{=================================================================}
+{    Функции для шифрования-дешифрования при записи в auth.dat    }
+{=================================================================}
+
+// На некоторых компьютерах давала сбой, поэтому просто возвращает константу
+function ProcessorId: string;
+begin
+  {var mbs := new ManagementObjectSearcher('Select ProcessorId From Win32_processor');
+  var mbsList := mbs.Get();
+  Result := '';
+  foreach var mo: ManagementObject in mbsList do
+  begin
+    var pId := mo['ProcessorId'];
+    if pId <> nil then
+      Result := pId.ToString()
+    else Result := 'AAAAAAAAAAAAAAAA';
+    break;
+  end;}
+  Result := 'AAAAAAAAAAAAAAAA';
+end;
+
+function Encrypt(src: string): array of byte; // записать в файл
+begin
+  var ae := Aes.Create();
+  var key := Encoding.UTF8.GetBytes(ProcessorId);
+  var crypt := ae.CreateEncryptor(key, key);
+  var ms := new MemoryStream();
+  var cs := new CryptoStream(ms, crypt, CryptoStreamMode.Write);
+  var sw := new StreamWriter(cs);
+  sw.Write(src);
+  sw.Close;
+  cs.Close;
+  ms.Close;
+  Result := ms.ToArray;
+end;
+
+function Decrypt(data: array of byte): string;
+begin
+  if data = nil then
+  begin
+    Result := '';
+    exit
+  end;
+  var ae := Aes.Create();
+  var key := Encoding.UTF8.GetBytes(ProcessorId);
+  var crypt := ae.CreateDecryptor(key, key);
+  var ms := new MemoryStream(data);
+  var cs := new CryptoStream(ms, crypt, CryptoStreamMode.Read);
+  var sr := new StreamReader(cs);
+  var text := sr.ReadToEnd;
+  sr.Close;
+  cs.Close;
+  ms.Close;
+  Result := text;
+end;
+
+{=========================================================}
+{            Функции для проверки ввода-вывода            }
+{=========================================================}
+
+function cInt := typeof(integer);
+function cRe := typeof(real);
+function cStr := typeof(string);
+function cBool := typeof(boolean);
+function cChar := typeof(char);
+
+
+procedure CheckData(InitialInput, InitialOutput, Input: array of System.Type);
+begin
+  CheckInitialIOSeqs(InitialInput, InitialOutput);
+  if Input = nil then
+    CheckInputIsInitial
+  else CheckInput(Input);
+end;  
+
+procedure CheckInitialIO;
+begin
+  if (OutputList.Count = InitialOutputList.Count) and (InputList.Count = InitialInputList.Count) then
+    TaskResult := InitialTask
+  else if (InputList.Count < InitialInputList.Count) or (InputList.Count = InitialInputList.Count) and (OutputList.Count < InitialOutputList.Count) then
+    TaskResult := BadInitialTask;
+end;
+
+procedure CheckInitialIOIsEmpty := CheckInitialIO;
+
+procedure InitialOutput(a: array of System.Type);
+begin
+  InitialOutputList.Clear;
+  if a<>nil then
+    InitialOutputList.AddRange(a);
+end;
+
+procedure InitialInput(a: array of System.Type);
+begin
+  InitialInputList.Clear;
+  if a<>nil then
+    InitialInputList.AddRange(a);
+end;
+
+function CompareValues(o1, o2: Object): boolean;
+begin
+  if (o1 is real) and (o2 is real) then
+  begin
+    var r1 := real(o1);
+    var r2 := real(o2);
+    Result := Abs(r1 - r2) < 0.0001;
+    exit;
+  end;
+  Result := o1.Equals(o2);
+end;
+
+function CompareArrValues(a,lst: array of object): boolean;
+begin
+  Result := True;
+  if a.Length <> OutputList.Count then
+    Result := False;
+  for var i := 0 to a.Length - 1 do
+    if not CompareValues(a[i], lst[i]) then
+    begin
+      Result := False; 
+      exit;           
+    end;
+end;
+
+function CompareValuesWithOutput(params a: array of object): boolean := CompareArrValues(a,OutputList.ToArray);
+
+{procedure CheckInitialOutputValues(params a: array of object);
+begin
+  if CompareArrValues(a,OutputList.ToArray) then
+    TaskResult := InitialTask;   
+end;}
+
+// По сути отдельные функции - это неправильно. Необходим CheckInitialInputOutput
+procedure CheckInitialOutput(params a: array of System.Type);
+begin
+  InitialOutput(a);
+  CheckInitialIO;
+end;
+
+procedure CheckInitialInput(params a: array of System.Type);
+begin
+  InitialInput(a);
+  CheckInitialIO;
+end;
+
+procedure CheckInitialOutputSeq(a: sequence of System.Type) := CheckInitialOutput(a.ToArray);
+
+procedure CheckInitialInputSeq(a: sequence of System.Type) := CheckInitialInput(a.ToArray);
+
+procedure CheckInitialIOSeqs(input,output: sequence of System.Type);
+begin
+  InitialInput(input?.ToArray);
+  InitialOutput(output?.ToArray);
+  CheckInitialIO;
+end;
+
+procedure CheckInputCount(n: integer);
+begin
+  if InputList.Count <> n then
+    raise new InputCountException(InputList.Count, n)
+end;
+
+procedure CheckInput2Count(i: integer);
+begin
+  if InputList.Count <= i then
+    raise new InputCount2Exception(InputList.Count, i + 1)
+end;
+
+procedure CheckInputTest2Count(i: integer);
+begin
+  if InputList.Count <= i then
+    raise new InputCountTest2Exception(InputList.Count, i + 1)
+end;
+
+procedure CheckOutput2Count(i: integer);
+begin
+  if OutputList.Count <= i then
+    raise new OutputCount2Exception(OutputList.Count, i + 1)
+end;
+
+function IsInt(i: integer) := InputList[i] is integer;
+function IsRe(i: integer) := InputList[i] is real;
+function IsStr(i: integer) := InputList[i] is string;
+function IsBoo(i: integer) := InputList[i] is boolean;
+function IsChr(i: integer) := InputList[i] is char;
+
+function OutIsInt(i: integer) := OutputList[i] is integer;
+function OutIsRe(i: integer) := OutputList[i] is real;
+function OutIsStr(i: integer) := OutputList[i] is string;
+function OutIsBoo(i: integer) := OutputList[i] is boolean;
+function OutIsChr(i: integer) := OutputList[i] is char;
+
+
+function Int(i: integer): integer;
+begin
+  CheckInput2Count(i);
+  if not IsInt(i) then
+    raise new InputTypeException(i + 1, 'integer', TypeName(InputList[i]));
+  Result := integer(InputList[i]);
+end;
+
+function Re(i: integer): real;
+begin
+  CheckInput2Count(i);
+  if not IsRe(i) then
+    raise new InputTypeException(i + 1, 'real', TypeName(InputList[i]));
+  Result := real(InputList[i]);
+end;
+
+function Str(i: integer): string;
+begin
+  CheckInput2Count(i);
+  if not IsStr(i) then
+    raise new InputTypeException(i + 1, 'string', TypeName(InputList[i]));
+  Result := string(InputList[i]);
+end;
+
+function Boo(i: integer): boolean;
+begin
+  CheckInput2Count(i);
+  if not IsBoo(i) then
+    raise new InputTypeException(i + 1, 'boolean', TypeName(InputList[i]));
+  Result := boolean(InputList[i]);
+end;
+
+function Chr(i: integer): char;
+begin
+  CheckInput2Count(i);
+  if not IsChr(i) then
+    raise new InputTypeException(i + 1, 'char', TypeName(InputList[i]));
+  Result := char(InputList[i]);
+end;
+
+function IntTest(i: integer): integer;
+begin
+  CheckInputTest2Count(i);
+  if not IsInt(i) then
+    raise new InputTypeTestException(i + 1, 'integer', TypeName(InputList[i]));
+  Result := integer(InputList[i]);
+end;
+
+function ReTest(i: integer): real;
+begin
+  CheckInputTest2Count(i);
+  if not IsRe(i) then
+    raise new InputTypeTestException(i + 1, 'real', TypeName(InputList[i]));
+  Result := real(InputList[i]);
+end;
+
+function StrTest(i: integer): string;
+begin
+  CheckInputTest2Count(i);
+  if not IsStr(i) then
+    raise new InputTypeTestException(i + 1, 'string', TypeName(InputList[i]));
+  Result := string(InputList[i]);
+end;
+
+function BooTest(i: integer): boolean;
+begin
+  CheckInputTest2Count(i);
+  if not IsBoo(i) then
+    raise new InputTypeTestException(i + 1, 'boolean', TypeName(InputList[i]));
+  Result := boolean(InputList[i]);
+end;
+
+function ChrTest(i: integer): char;
+begin
+  CheckInputTest2Count(i);
+  if not IsChr(i) then
+    raise new InputTypeTestException(i + 1, 'char', TypeName(InputList[i]));
+  Result := char(InputList[i]);
+end;
+
+function OutInt(i: integer): integer;
+begin
+  CheckOutput2Count(i);
+  if not OutIsInt(i) then
+    raise new OutputTypeException(i + 1, 'integer', TypeName(OutputList[i]));
+  Result := integer(OutputList[i]);
+end;
+
+function OutRe(i: integer): real;
+begin
+  CheckOutput2Count(i);
+  if not OutIsRe(i) then
+    raise new OutputTypeException(i + 1, 'real', TypeName(OutputList[i]));
+  Result := real(OutputList[i]);
+end;
+
+function OutBoo(i: integer): boolean;
+begin
+  CheckOutput2Count(i);
+  if not OutIsBoo(i) then
+    raise new OutputTypeException(i + 1, 'boolean', TypeName(OutputList[i]));
+  Result := boolean(OutputList[i]);
+end;
+
+function OutChr(i: integer): char;
+begin
+  CheckOutput2Count(i);
+  if not OutIsChr(i) then
+    raise new OutputTypeException(i + 1, 'char', TypeName(OutputList[i]));
+  Result := char(OutputList[i]);
+end;
+
+function OutStr(i: integer): string;
+begin
+  CheckOutput2Count(i);
+  if not OutIsStr(i) then
+    raise new OutputTypeException(i + 1, 'string', TypeName(OutputList[i]));
+  Result := string(OutputList[i]);
+end;
+
+function Int: integer;
+begin
+  Result := Int(CurPosInInputList);
+  CurPosInInputList += 1;
+end;
+
+function Re: real;
+begin
+  Result := Re(CurPosInInputList);
+  CurPosInInputList += 1;
+end;
+
+function Str: string;
+begin
+  Result := Str(CurPosInInputList);
+  CurPosInInputList += 1;
+end;
+
+function Boo: boolean;
+begin
+  Result := Boo(CurPosInInputList);
+  CurPosInInputList += 1;
+end;
+
+function Chr: char;
+begin
+  Result := Chr(CurPosInInputList);
+  CurPosInInputList += 1;
+end;
+
+function IntTest: integer;
+begin
+  Result := IntTest(CurPosInInputListInTestMode);
+  CurPosInInputListInTestMode += 1;
+end;
+
+function ReTest: real;
+begin
+  Result := ReTest(CurPosInInputListInTestMode);
+  CurPosInInputListInTestMode += 1;
+end;
+
+function StrTest: string;
+begin
+  Result := StrTest(CurPosInInputListInTestMode);
+  CurPosInInputListInTestMode += 1;
+end;
+
+function BooTest: boolean;
+begin
+  Result := BooTest(CurPosInInputListInTestMode);
+  CurPosInInputListInTestMode += 1;
+end;
+
+function ChrTest: char;
+begin
+  Result := ChrTest(CurPosInInputListInTestMode);
+  CurPosInInputListInTestMode += 1;
+end;
+
+
+function Int2: (integer, integer) := (Int, Int);
+
+function Re2: (real, real) := (Re, Re);
+
+function IntArr(n: integer): array of integer := (1..n).Select(x -> Int).ToArray;
+function ReArr(n: integer): array of real := (1..n).Select(x -> Re).ToArray;
+function BooArr(n: integer): array of boolean := (1..n).Select(x -> Boo).ToArray;
+function ChrArr(n: integer): array of char := (1..n).Select(x -> Chr).ToArray;
+function StrArr(n: integer): array of string := (1..n).Select(x -> Str).ToArray;
+
+// функции, возвращающие входные и выходные списки, а также их срезы, приведенные к нужному типу
+
+function InputListAsIntegers: array of integer := InputList.Select((x,i) -> Int(i)).ToArray;
+function InputListAsReals: array of real := InputList.Select((x,i) -> Re(i)).ToArray;
+function InputListAsBooleans: array of boolean := InputList.Select((x,i) -> Boo(i)).ToArray;
+function InputListAsChars: array of char := InputList.Select((x,i) -> Chr(i)).ToArray;
+function InputListAsStrings: array of string := InputList.Select((x,i) -> Str(i)).ToArray;
+
+function OutputListAsIntegers: array of integer := OutputList.Select((x,i) -> OutInt(i)).ToArray;
+function OutputListAsReals: array of real := OutputList.Select((x,i) -> OutRe(i)).ToArray;
+function OutputListAsBooleans: array of boolean := OutputList.Select((x,i) -> OutBoo(i)).ToArray;
+function OutputListAsChars: array of char := OutputList.Select((x,i) -> OutChr(i)).ToArray;
+function OutputListAsStrings: array of string := OutputList.Select((x,i) -> OutStr(i)).ToArray;
+
+function InSliceIntArr(a,b: integer): array of integer := (a..b).Select(i->Int(i)).ToArray;
+function InSliceReArr(a,b: integer): array of real := (a..b).Select(i->Re(i)).ToArray;
+function InSliceBooArr(a,b: integer): array of boolean := (a..b).Select(i->Boo(i)).ToArray;
+function InSliceChrArr(a,b: integer): array of char := (a..b).Select(i->Chr(i)).ToArray;
+function InSliceStrArr(a,b: integer): array of string := (a..b).Select(i->Str(i)).ToArray;
+
+function OutSliceIntArr(a,b: integer): array of integer := (a..b).Select(i->OutInt(i)).ToArray;
+function OutSliceReArr(a,b: integer): array of real := (a..b).Select(i->OutRe(i)).ToArray;
+function OutSliceBooArr(a,b: integer): array of boolean := (a..b).Select(i->OutBoo(i)).ToArray;
+function OutSliceChrArr(a,b: integer): array of char := (a..b).Select(i->OutChr(i)).ToArray;
+function OutSliceStrArr(a,b: integer): array of string := (a..b).Select(i->OutStr(i)).ToArray;
+
+function ConvertOne(ob: Object): Object;
+begin
+  Result := ob;
+  if ob is string then
+  begin
+    var s := string(ob);
+    var ival: integer;
+    var rval: real;
+    if s.TryToInteger(ival) then
+      Result := ival
+    else if s.TryToReal(rval) then
+      Result := rval
+  end
+end;
+
+procedure ConvertStringsToNumbersInOutputList;
+begin
+  for var i:=0 to OutputList.Count - 1 do
+    OutputList[i] := ConvertOne(OutputList[i]);
+end;
+
+function ToObjArray(a: sequence of integer): array of object := a.Select(x -> object(x)).ToArray;
+
+function ToObjArray(a: sequence of real): array of object := a.Select(x -> object(x)).ToArray;
+
+function ToObjArray(a: sequence of string): array of object := a.Select(x -> object(x)).ToArray;
+
+function ToObjArray(a: sequence of char): array of object := a.Select(x -> object(x)).ToArray;
+
+function ToObjArray(a: sequence of boolean): array of object := a.Select(x -> object(x)).ToArray;
+
+function ToObjArray(a: sequence of word): array of object := a.Select(x -> object(x)).ToArray;
+
+
+{============================================}
+{     Методы расширения для List<object>     }
+{============================================}
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of integer); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(ToObjArray(data));
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of real); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(ToObjArray(data));
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of string); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(ToObjArray(data));
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of char); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(ToObjArray(data));
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of boolean); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(ToObjArray(data));
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of word); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(ToObjArray(data));
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: sequence of object); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.AddRange(data.ToArray);
+end;
+
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: integer); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.Add(data);
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: real); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.Add(data);
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: string); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.Add(data);
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: char); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.Add(data);
+end;
+
+/// Заполняет InputList в GenerateTestData. Вызывать только в GenerateTestData! 
+procedure AddTestData(Self: List<object>; data: boolean); extensionmethod;
+begin
+  if TestMode <> tmGenTest then
+    raise new NotInTestGenModeException('AddTestData');
+  Self.Add(data);
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataInt(Self: List<object>): integer; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataInt');
+  Result := IntTest;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataReal(Self: List<object>): real; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataReal');
+  Result := ReTest;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataString(Self: List<object>): string; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataString');
+  Result := StrTest;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataChar(Self: List<object>): char; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataChar');
+  Result := ChrTest;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataBoolean(Self: List<object>): boolean; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataBoolean');
+  Result := BooTest;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataIntArr(Self: List<object>; n: integer): array of integer; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataIntArr');
+  Result := (1..n).Select(x->IntTest).ToArray;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataReArr(Self: List<object>; n: integer): array of real; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataReArr');
+  Result := (1..n).Select(x->ReTest).ToArray;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataStrArr(Self: List<object>; n: integer): array of string; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataStrArr');
+  Result := (1..n).Select(x->StrTest).ToArray;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataChrArr(Self: List<object>; n: integer): array of char; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataChrArr');
+  Result := (1..n).Select(x->ChrTest).ToArray;
+end;
+
+/// Только для InputList и только во время тестирования!!! TestMode = tmTest! Это внутренний метод - разработчику тестов не вызывать!!!
+function ReadTestDataBooArr(Self: List<object>; n: integer): array of boolean; extensionmethod;
+begin
+  if TestMode <> tmTest then
+    raise new NotInTestModeException('ReadTestDataBooArr');
+  Result := (1..n).Select(x->BooTest).ToArray;
+end;
+
+
+function SliceAsInt(Self: List<object>; a,b: integer): array of integer; extensionmethod 
+  := Self[a:b].Select(x->integer(x)).ToArray;
+
+function SliceAsReal(Self: List<object>; a,b: integer): array of real; extensionmethod 
+  := Self[a:b].Select(x->real(x)).ToArray;
+
+function SliceAsString(Self: List<object>; a,b: integer): array of string; extensionmethod 
+  := Self[a:b].Select(x->string(x)).ToArray;
+
+function SliceAsChar(Self: List<object>; a,b: integer): array of char; extensionmethod 
+  := Self[a:b].Select(x->char(x)).ToArray;
+
+function SliceAsBoolean(Self: List<object>; a,b: integer): array of boolean; extensionmethod 
+  := Self[a:b].Select(x->boolean(x)).ToArray;
+  
+{=========================================================}
+{           Сервисные функции - продолжение               }
+{=========================================================}
+procedure GenerateTests(params a: array of integer);
+begin
+  if InputList.Count <> 1 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(integer) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    InputList.AddTestData(a[tnum-1]);
+  end;
+end;
+  
+procedure GenerateTests(params a: array of real);
+begin
+  if InputList.Count <> 1 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(real) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    InputList.AddTestData(a[tnum-1]);
+  end;
+end;
+  
+procedure GenerateTests(params a: array of string);
+begin
+  if InputList.Count <> 1 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(string) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    InputList.AddTestData(a[tnum-1]);
+  end;
+end;
+  
+procedure GenerateTests(params a: array of char);
+begin
+  if InputList.Count <> 1 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(char) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    InputList.AddTestData(a[tnum-1]);
+  end;
+end;
+  
+procedure GenerateTests(params a: array of boolean);
+begin
+  if InputList.Count <> 1 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(boolean) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    InputList.AddTestData(a[tnum-1]);
+  end;
+end;
+  
+procedure GenerateTests<T1,T2>(params a: array of (T1,T2));
+begin
+  if InputList.Count <> 2 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(T1) then 
+    raise new InputTestTypesMismatchException;
+  if InputList[1].GetType <> typeof(T2) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    var tt := a[tnum-1];
+    InputList.AddTestData(|object(tt[0]),object(tt[1])|);
+  end;
+end;
+
+procedure GenerateTests<T1,T2,T3>(params a: array of (T1,T2,T3));
+begin
+  if InputList.Count <> 2 then
+    raise new InputTestCountMismatchException;
+  if InputList[0].GetType <> typeof(T1) then 
+    raise new InputTestTypesMismatchException;
+  if InputList[1].GetType <> typeof(T2) then 
+    raise new InputTestTypesMismatchException;
+  if InputList[2].GetType <> typeof(T3) then 
+    raise new InputTestTypesMismatchException;
+  
+  TestCount := a.Length;
+  GenerateTestData := tnum -> begin
+    var tt := a[tnum-1];
+    InputList.AddTestData(|object(tt[0]),object(tt[1]),object(tt[2])|);
+  end;
+end;
+
+{=========================================================================}
+{     Переопределенные функции PABCSystem с заполнением ввода и вывода    }
+{=========================================================================}
+/// Возвращает случайное целое в диапазоне от a до b
+function Random(a, b: integer): integer;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataInt // считать следующее данное из заполненного в GenTestMode InputList
+  else Result := PABCSystem.Random(a, b);
+  
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайное целое в диапазоне от 0 до n-1
+function Random(n: integer): integer;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataInt
+  else Result := PABCSystem.Random(n);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайное вещественное в диапазоне [0..1)
+function Random: real;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataReal
+  else Result := PABCSystem.Random;
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайное вещественное в диапазоне [a,b)
+function Random(a, b: real): real;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataReal
+  else Result := PABCSystem.Random(a, b);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайный символ в диапазоне от a до b
+function Random(a, b: char): char;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataChar
+  else Result := PABCSystem.Random(a, b);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+function RandomReal(a, b: real; digits: integer): real;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataReal
+  else Result := PABCSystem.RandomReal(a, b, digits);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайное целое в диапазоне 
+function Random(diap: IntRange): integer;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataInt
+  else Result := PABCSystem.Random(diap);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайное вещественное в диапазоне 
+function Random(diap: RealRange): real;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataReal
+  else Result := PABCSystem.Random(diap);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает случайный символ в диапазоне 
+function Random(diap: CharRange): char;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataChar
+  else Result := PABCSystem.Random(diap);
+  if NeedAddDataToInputList then
+    InputList.Add(Result);
+end;
+
+/// Возвращает кортеж из двух случайных целых в диапазоне от a до b
+function Random2(a, b: integer): (integer, integer);
+begin
+  Result := (Random(a, b), Random(a, b));
+end;
+
+/// Возвращает кортеж из двух случайных вещественных в диапазоне от a до b
+function Random2(a, b: real): (real, real);
+begin
+  Result := (Random(a, b), Random(a, b));
+end;
+
+/// Возвращает кортеж из двух случайных символов в диапазоне от a до b
+function Random2(a, b: char): (char, char);
+begin
+  Result := (Random(a, b), Random(a, b));
+end;
+
+/// Возвращает кортеж из двух случайных целых в диапазоне
+function Random2(diap: IntRange): (integer, integer);
+begin
+  Result := (Random(diap), Random(diap));
+end;
+
+/// Возвращает кортеж из двух случайных символов в диапазоне
+function Random2(diap: CharRange): (char, char);
+begin
+  Result := (Random(diap), Random(diap));
+end;
+
+/// Возвращает кортеж из двух случайных вещественных в диапазоне
+function Random2(diap: RealRange): (real, real);
+begin
+  Result := (Random(diap), Random(diap));
+end;
+
+/// Возвращает кортеж из трех случайных целых в диапазоне от a до b
+function Random3(a, b: integer): (integer, integer, integer);
+begin
+  Result := (Random(a, b), Random(a, b), Random(a, b));
+end;
+
+/// Возвращает кортеж из трех случайных вещественных в диапазоне от a до b
+function Random3(a, b: real): (real, real, real);
+begin
+  Result := (Random(a, b), Random(a, b), Random(a, b));
+end;
+
+/// Возвращает кортеж из трех случайных символов в диапазоне от a до b
+function Random3(a, b: char): (char, char, char);
+begin
+  Result := (Random(a, b), Random(a, b), Random(a, b));
+end;
+
+/// Возвращает кортеж из трех случайных целых в диапазоне
+function Random3(diap: IntRange): (integer, integer, integer);
+begin
+  Result := (Random(diap), Random(diap), Random(diap));
+end;
+
+/// Возвращает кортеж из трех случайных вещественных в диапазоне
+function Random3(diap: RealRange): (real, real, real);
+begin
+  Result := (Random(diap), Random(diap), Random(diap));
+end;
+
+/// Возвращает кортеж из трех случайных символов в диапазоне
+function Random3(diap: CharRange): (char, char, char);
+begin
+  Result := (Random(diap), Random(diap), Random(diap));
+end;
+
+/// Возвращает массив размера n, заполненный случайными целыми значениями в диапазоне от a до b
+function ArrRandomInteger(n: integer; a: integer; b: integer): array of integer;
+begin
+  // Есть три состояния:
+  // 1. Вызов в основной программе (первый запуск) - TestMode = tmNone
+  // 2. Вызов в основной программе (последующие запуски) - TestMode = tmTest
+  // 3. Вызов в функции GenerateTestData - TestMode = tmGenTest - это только в состоянии TestMode = True
+  {if GenTest then
+  begin
+    Result := PABCSystem.ArrRandomInteger(n, a, b); // приходится вызывать дважды!
+    exit;
+  end;}
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataIntArr(n)
+  else Result := PABCSystem.ArrRandomInteger(n, a, b); 
+  
+  if NeedAddDataToInputList then // IsLightPT and (TestMode = tmNone)
+  for var i:=0 to n-1 do
+    InputList.Add(Result[i]);
+end;
+
+/// Возвращает массив размера n, заполненный случайными целыми значениями в диапазоне от 0 до 100
+function ArrRandomInteger(n: integer): array of integer := ArrRandomInteger(n,0,100);
+
+/// Возвращает массив размера n, заполненный случайными вещественными значениями в диапазоне от a до b 
+function ArrRandomReal(n: integer; a: real; b: real; digits: integer): array of real;
+begin
+  if TestMode = tmTest then
+    Result := InputList.ReadTestDataReArr(n)
+  else Result := PABCSystem.ArrRandomReal(n, a, b, digits);
+  
+  if NeedAddDataToInputList then
+  for var i:=0 to n-1 do
+    InputList.Add(Result[i]);
+end;
+
+/// Возвращает массив размера n, заполненный случайными вещественными значениями  в диапазоне от 0 до 10
+function ArrRandomReal(n: integer; digits: integer): array of real := ArrRandomReal(n,0,10,digits);
+
+/// Возвращает двумерный массив размера m x n, заполненный случайными целыми значениями
+function MatrRandomInteger(m: integer; n: integer; a: integer; b: integer): array [,] of integer;
+begin
+  if TestMode = tmTest then 
+    Result := Matr(m,n,InputList.ReadTestDataIntArr(m*n))
+  else Result := PABCSystem.MatrRandomInteger(m,n,a,b);
+
+  if NeedAddDataToInputList then
+  foreach var x in Result.ElementsByRow do
+    InputList.Add(x);
+end;
+
+/// Возвращает двумерный массив размера m x n, заполненный случайными целыми значениями
+function MatrRandomInteger(m: integer; n: integer): array [,] of integer := MatrRandomInteger(m,n,0,100);
+
+/// Возвращает двумерный массив размера m x n, заполненный случайными вещественными значениями
+function MatrRandomReal(m: integer; n: integer; a: real; b: real): array [,] of real;
+begin
+  if TestMode = tmTest then
+    Result := Matr(m,n,InputList.ReadTestDataReArr(m*n))
+  else Result := PABCSystem.MatrRandomReal(m,n,a,b);
+
+  if NeedAddDataToInputList then
+  foreach var x in Result.ElementsByRow do
+    InputList.Add(x);
+end;
+
+/// Возвращает двумерный массив размера m x n, заполненный случайными вещественными значениями
+function MatrRandomReal(m: integer; n: integer): array [,] of real := MatrRandomReal(m,n,0,10);
+
+/// Выводит приглашение к вводу и возвращает значение типа integer, введенное с клавиатуры
+function ReadInteger(prompt: string): integer;
+begin
+  Result := PABCSystem.ReadInteger(prompt);
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := False;
+end;
+
+/// Выводит приглашение к вводу и возвращает значение типа integer, введенное с клавиатуры
+function ReadlnInteger(prompt: string): integer;
+begin
+  Result := PABCSystem.ReadlnInteger(prompt);
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := False;
+end;
+
+/// Выводит приглашение к вводу и возвращает два значения типа integer, введенные с клавиатуры
+function ReadInteger2(prompt: string): (integer, integer);
+begin
+  Result := PABCSystem.ReadInteger2(prompt);
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := False;
+end;
+
+function ReadString(prompt: string): string;
+begin
+  Result := PABCSystem.ReadString(prompt);
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := False;
+end;
+
+function ReadlnString(prompt: string) := ReadString(prompt);
+
+
+///- procedure Print(a,b,...);
+/// Выводит значения a,b,... на экран, после каждого значения выводит пробел
+procedure Print(params args: array of object);
+begin
+  foreach var ob in args do
+  begin
+    PABCSystem.Print(ob);
+    if not IsPT then
+      OutputList.RemoveAt(OutputList.Count - 1)
+  end;
+  CreateNewLineBeforeMessage := True;
+end;
+
+///- procedure Println(a,b,...);
+/// Выводит значения a,b,... на экран, после каждого значения выводит пробел и переходит на новую строку
+procedure Println(params args: array of object);
+begin
+  Print(args);
+  Writeln;
+  if IsPT then exit;
+  CreateNewLineBeforeMessage := False;
+end;
+
+/// Выводит значение экран и выводит пробел
+procedure Print(ob: object);
+begin
+  PABCSystem.Print(ob);
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := True;
+end;
+
+/// Выводит значение экран и выводит пробел
+procedure Print(s: string);
+begin
+  PABCSystem.Print(s);
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := True;
+end;
+
+/// Выводит значение экран и выводит пробел
+procedure Print(c: char);
+begin
+  PABCSystem.Print(object(c));
+  if IsPT then exit;
+  OutputList.RemoveAt(OutputList.Count - 1);
+  CreateNewLineBeforeMessage := True;
+end;
+
+// конец переопределенных функций с заполнением ввода-вывода  
+
+procedure CompareTypeWithOutput(params a: array of System.Type);
+begin
+  TaskResult := Solved;
+  var mn := Min(a.Length, OutputList.Count);
+  for var i := 0 to mn - 1 do
+    if a[i] <> OutputList[i].GetType then
+      raise new OutputTypeException(i + 1, TypeToTypeName(a[i]), TypeName(OutputList[i]));
+  if a.Length <> OutputList.Count then
+    raise new OutputCountException(OutputList.Count, a.Length);
+end;
+
+/// Не меняет TaskResult если типы правильные
+procedure CheckInputTypes(a: array of System.Type);
+begin
+  // Несоответствие количества вводимых параметров
+  if a.Length <> InputList.Count then
+    raise new InputCountException(InputList.Count, a.Length);
+  for var i := 0 to a.Length - 1 do
+    if a[i] <> InputList[i].GetType then
+      raise new InputTypeException(i + 1, TypeToTypeName(a[i]), TypeName(InputList[i]));
+end;
+
+/// Синоним CheckInputTypes
+procedure CheckInput(a: array of System.Type) := CheckInputTypes(a);
+procedure CheckInputIsEmpty := CheckInputTypes(new System.Type[0]);
+
+procedure CheckInputIsInitial;
+begin
+  CheckInput(InitialInputList.ToArray);
+end; 
+
+procedure CheckInput(seq: sequence of System.Type) := CheckInputTypes(seq.ToArray);
+
+procedure CheckOutputAfterInitialSeq(seq: sequence of integer) := CheckOutputAfterInitial(ToObjArray(seq));
+procedure CheckOutputAfterInitialSeq(seq: sequence of real) := CheckOutputAfterInitial(ToObjArray(seq));
+procedure CheckOutputAfterInitialSeq(seq: sequence of string) := CheckOutputAfterInitial(ToObjArray(seq));
+procedure CheckOutputAfterInitialSeq(seq: sequence of boolean) := CheckOutputAfterInitial(ToObjArray(seq));
+procedure CheckOutputAfterInitialSeq(seq: sequence of char) := CheckOutputAfterInitial(ToObjArray(seq));
+procedure CheckOutputAfterInitialSeq(seq: sequence of object) := CheckOutputAfterInitial(seq.ToArray);
+procedure CheckOutputAfterInitialSeq(seq: ObjectList) := CheckOutputAfterInitial(seq.lst.ToArray);
+
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of integer); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of real); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of string); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of boolean); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of char); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+procedure CheckOutputAfterInitialSeqSilent(seq: sequence of object); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+procedure CheckOutputAfterInitialSeqSilent(seq: ObjectList); begin Silent := True; CheckOutputAfterInitialSeq(seq); Silent := False; end;
+
+
+procedure ClearOutputListFromSpaces;
+begin
+  OutputList := OutputList.Where(s -> (not (s is string)) or ((s as string) <> ' ')).ToList;
+  OutputList := OutputList.Where(s -> (not (s is char)) or ((char(s)) <> ' ')).ToList;
+end;
+
+procedure FilterOnlyNumbers;
+begin
+  OutputList := OutputList.Where(x -> (x is integer) or (x is real) or (x is int64)).ToList;
+end;
+
+procedure FilterOnlyNumbersAndBools;
+begin
+  OutputList := OutputList.Where(x -> (x is integer) or (x is real) or (x is int64) or (x is boolean)).ToList;
+end;
+
+function MsgColorCode(color: MessageColorT): char;
+begin
+  Result := #65530; // Black
+  case color of
+    MsgColorGreen: Result := #65535;
+    MsgColorRed: Result := #65534;
+    MsgColorOrange: Result := #65533;
+    MsgColorMagenta: Result := #65532;
+    MsgColorGray: Result := #65531;
+  end;
+end;
+
+procedure ColoredMessage(msg: string; color: MessageColorT);
+begin
+  if Silent then exit;
+
+  if CreateNewLineBeforeMessage then
+    Console.WriteLine;
+  Console.WriteLine(MsgColorCode(color) + msg);
+  CreateNewLineBeforeMessage := False;
+end;
+
+procedure ColoredMessage(msg: string);
+begin
+  if Silent then exit;
+  if CreateNewLineBeforeMessage then
+    Console.WriteLine;
+  Console.WriteLine(MsgColorCode(MsgColorRed) + msg);
+  CreateNewLineBeforeMessage := False;
+end;
+
+procedure CheckOutputHelper(i0: integer; params arr: array of object);
+  procedure OutputTestResult;
+  begin
+    ColoredMessage($'Основной запуск верный',MsgColorGray);
+    ColoredMessage($'Ошибочное решение на тесте:',MsgColorOrange);
+    ColoredMessage($'Тестовые данные      : {InputList.JoinToString}',MsgColorGray);
+    ColoredMessage($'Полученный результат : {OutputList.JoinToString}',MsgColorGray);
+    if i0 = 0 then
+      ColoredMessage($'Правильный результат : {arr.JoinToString}',MsgColorGray)
+    else ColoredMessage($'Правильный результат : {(OutputList[:i0]+arr).JoinToString}',MsgColorGray)
+  end;
+
+begin
+  if (TaskResult = InitialTask) and CancelMessagesIfInitial
+     or (TaskResult = BadInitialTask) then
+    exit;
+
+  // Если мы попали сюда, то OutputList.Count >= InitialOutputList.Count
+  var mn := Min(arr.Length, OutputList.Count - i0);
+  
+  for var i := i0 to i0 + mn - 1 do
+  begin  
+    // Если типы не совпадают 
+    if (arr[i-i0].GetType.Name <> 'RuntimeType') and (arr[i-i0].GetType <> OutputList[i].GetType) or
+      (arr[i-i0].GetType.Name = 'RuntimeType') and (arr[i-i0] <> OutputList[i].GetType)
+    then 
+    begin
+      if TestNumber > 0 then
+        OutputTestResult
+      else
+      begin
+        if i > InitialOutputList.Count then
+          ColoredMessage('Часть выведенных данных правильная',MsgColorGray);
+      end;  
+      raise new OutputTypeException(i + 1, TypeToTypeName(arr[i-i0].GetType), TypeName(OutputList[i]));           
+    end;
+    // Если значения не совпадают (если задан маркер типа, то проверка значений пропускается)
+    if (arr[i-i0].GetType.Name <> 'RuntimeType') and not CompareValues(arr[i-i0], OutputList[i]) then
+    begin
+      if i >= InitialOutputList.Count then // ? Если первое данное неправильное - всё равно попадаем сюда!!!
+      begin
+        if TestNumber > 0 then
+          OutputTestResult
+        else
+        begin
+          if i > InitialOutputList.Count then
+            ColoredMessage('Часть выведенных данных правильная',MsgColorGray);
+          if (i0 = 0) and (arr.Length = 1) then
+            //ColoredMessage($'Ожидалось значение {arr[i-i0]}, а выведено {OutputList[i]}',MsgColorGray)           
+          else ColoredMessage($'Элемент {i + 1}: ожидалось значение {arr[i-i0]}, а выведено {OutputList[i]}',MsgColorGray);
+        end;  
+      end;  
+      TaskResult := BadSolution;
+      exit;           
+    end;
+  end;
+  
+  if arr.Length <> OutputList.Count - i0 then
+  begin  
+    if TestNumber > 0 then
+      OutputTestResult
+    else
+    if OutputList.Count > 0 then begin
+      if arr.Length > OutputList.Count - i0 then // выведено меньше чем надо
+        ColoredMessage('Все выведенные данные правильны',MsgColorGray)
+      else if arr.Length < OutputList.Count - i0 then // выведено больше чем надо
+        ColoredMessage('Все необходимые выведенные данные правильны',MsgColorGray);
+    end;  
+    raise new OutputCountException(OutputList.Count, arr.Length + i0);
+  end;
+  TaskResult := Solved;  
+end;
+
+// Поправим сообщения об ошибке в соответствии с TestNumber
+procedure CheckOutput(params arr: array of object);
+begin
+  CheckOutputHelper(0,arr);
+end;
+
+procedure CheckOutputSilent(params arr: array of object);
+begin
+  Silent := True;
+  CheckOutput(arr);
+  Silent := False;
+end;
+
+procedure CheckOutputAfterInitial(params arr: array of object);
+begin
+  CheckOutputHelper(InitialOutputList.Count,arr);
+end;
+
+procedure CheckOutputAfterInitialSilent(params arr: array of object);
+begin
+  Silent := True;
+  CheckOutputAfterInitial(arr);
+  Silent := False;
+end;
+
+procedure CheckOutputSeq(a: sequence of integer) := CheckOutput(ToObjArray(a));
+procedure CheckOutputSeq(a: sequence of real) := CheckOutput(ToObjArray(a));
+procedure CheckOutputSeq(a: sequence of string) := CheckOutput(ToObjArray(a));
+procedure CheckOutputSeq(a: sequence of char) := CheckOutput(ToObjArray(a));
+procedure CheckOutputSeq(a: sequence of boolean) := CheckOutput(ToObjArray(a));
+procedure CheckOutputSeq(a: sequence of object) := CheckOutput(a.ToArray);
+procedure CheckOutputSeq(a: ObjectList) := CheckOutput(a.lst.ToArray);
+procedure CheckOutputSeq(a: sequence of word) := CheckOutputSeq(ToObjArray(a));
+
+procedure CheckOutputSeqSilent(a: sequence of integer) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: sequence of real) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: sequence of string) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: sequence of char) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: sequence of boolean) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: sequence of object) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: ObjectList) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+procedure CheckOutputSeqSilent(a: sequence of word) := begin Silent := True; CheckOutputSeq(a); Silent := False end;
+
+procedure CheckOutputNew(params arr: array of object) := CheckOutput(arr);
+procedure CheckOutputSeqNew(a: sequence of integer) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: sequence of real) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: sequence of string) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: sequence of char) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: sequence of boolean) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: sequence of object) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: sequence of word) := CheckOutputSeq(a);
+procedure CheckOutputSeqNew(a: ObjectList) := CheckOutputSeq(a);
+
+procedure CheckOutputString(str: string);
+  function Char2Str(c: char): string;
+  begin
+    if (c = #10) or (c = #13) then
+      Result := '''ПереходНаНовуюСтроку'''
+    else Result := '''' + c + '''';
+  end;
+begin
+  if (TaskResult = InitialTask) or (TaskResult = BadInitialTask) then
+    exit;
+  var ostr := OutputString.ToString;
+  var mn := Min(str.Length, ostr.Length);
+  
+  var ind := -1;
+  for var i := 1 to mn do
+  begin
+    if str[i] <> ostr[i] then
+    begin
+      ind := i;
+      ColoredMessage($'Элемент {i}: ожидался символ {Char2Str(str[i])}, а выведен символ {Char2Str(ostr[i])}',MsgColorGray);
+      TaskResult := BadSolution;
+      exit;           
+    end;
+  end;
+  if ind = -1 then
+    ind := mn;
+
+  if str.Length <> ostr.Length then
+  begin  
+    if (ind = mn) and (ind<>0) then
+      ColoredMessage('Все выведенные данные правильны',MsgColorGray)
+    else if ind > 0 then
+      ColoredMessage('Часть выведенных данных правильная',MsgColorGray);
+    raise new OutputCountException(ostr.Length, str.Length);
+  end;
+
+  TaskResult := Solved;
+end;
+
+
+type 
+  IntAr = array of integer;
+  RealAr = array of real;
+  IntAr2 = array [,] of integer;
+  RealAr2 = array [,] of real;
+  
+function FlattenElement(x: object): List<object>; 
+begin
+  var lst := new List<object>;
+  if x is IntAr (var iarr) then
+    lst.AddRange(iarr.Select(x -> object(x)))
+  else if x is RealAr (var rarr) then
+    lst.AddRange(rarr.Select(x -> object(x)))
+  else if x is IntAr2 (var iarr) then
+    lst.AddRange(iarr.ElementsByRow.Select(x -> object(x)))
+  else if x is RealAr2 (var rarr) then
+    lst.AddRange(rarr.ElementsByRow.Select(x -> object(x)))
+  else if x is List<integer> (var larr) then
+    lst.AddRange(larr.Select(x -> object(x)))
+  else if x is List<real> (var lrarr) then
+    lst.AddRange(lrarr.Select(x -> object(x)))
+  else lst.Add(x);
+  Result := lst;
+end;
+
+procedure FlattenOutput;
+begin
+  // если в OutputList массивы, вытянуть их в единый список
+  OutputList := OutputList.SelectMany(x -> FlattenElement(x)).ToList;
+end;
+
+function NValues(n: integer): string;
+begin
+  case n of
+    0: Result := n + ' значений';
+    1: Result := n + ' значение';
+    2, 3, 4: Result := n + ' значения';
+    5..100000: Result := n + ' значений';
+  end;
+end;
+
+{=========================================================}
+{          Итоговые функции для проверки решения          }
+{=========================================================}
+
+procedure RobotCheckSolution;
+begin
+  TaskResult := BadSolution;
+  var t := System.Type.GetType('RobotField.RobotField');
+  if t<>nil then
+  begin
+    TaskResultInfo := 'Robot';
+    var f := t.GetField('RobField',System.Reflection.BindingFlags.Public or System.Reflection.BindingFlags.Static);
+    var IsSol := f.FieldType.GetMethod('IsSolution');
+    var bool := IsSol.Invoke(f.GetValue(nil),nil);
+    if boolean(bool) then
+      TaskResult := Solved;
+  // RobField.TaskName
+    var RBTaskNameInfo := f.FieldType.GetField('TaskName');
+    var v := string(RBTaskNameInfo.GetValue(f.GetValue(nil)));
+    // Добавлять RB к имени задания если его там нет
+    if not v.ToLower.StartsWith('rb') then
+      v := v.Insert(0,'RB');
+    TaskName := v;
+  end;
+end;
+
+procedure DrawmanCheckSolution;
+begin
+  TaskResult := BadSolution;
+  var t := System.Type.GetType('DrawManField.DrawManField');
+  if t<>nil then
+  begin
+    TaskResultInfo := 'Drawman';
+    var f := t.GetField('DMField',System.Reflection.BindingFlags.Public or System.Reflection.BindingFlags.Static);
+    var IsSol := f.FieldType.GetMethod('IsSolution');
+    var bool := IsSol.Invoke(f.GetValue(nil),nil);
+    if boolean(bool) then
+      TaskResult := Solved;
+  // DMField.TaskName
+    var DMTaskNameInfo := f.FieldType.GetField('TaskName');
+    var v := string(DMTaskNameInfo.GetValue(f.GetValue(nil)));
+    // Добавлять DM к имени задания если его там нет
+    if not v.ToLower.StartsWith('dm') then
+      v := v.Insert(0,'DM');
+    TaskName := v;
+  end;
+end;
+
+// Вызов PT4.PT4.__FinalizeModule__ отражением
+procedure PT4CheckSolution;
+begin
+  var t := System.Type.GetType('PT4.PT4');
+  if t<>nil then
+  begin
+    var meth := t.GetMethod('__FinalizeModule__',System.Reflection.BindingFlags.Public or System.Reflection.BindingFlags.Static);
+    if meth <> nil then
+      meth.Invoke(nil,nil);
+    //
+    var f := t.GetField('TaskName',System.Reflection.BindingFlags.Public or System.Reflection.BindingFlags.Static);
+    TaskName := string(f.GetValue(nil));
+  end;
+end;
+
+// Вызов PT4.PT4.GetSolutionInfo отражением
+function GetSolutionInfoPT4: string;
+begin
+  var t := System.Type.GetType('PT4.PT4');
+  if t<>nil then
+  begin
+    var meth := t.GetMethod('GetSolutionInfo',System.Reflection.BindingFlags.Public or System.Reflection.BindingFlags.Static);
+    if meth <> nil then
+      Result := string(meth.Invoke(nil,nil))
+    else Result := '';
+  end;
+end;
+
+procedure CalcPT4Result(info: string; var TaskResult: TaskStatus; var TaskResultInfo: string);
+// info - строка, возвращаемая GetSolutionInfoPT4
+  
+  function HasSubstr(s_ru, s_en: string): boolean;
+  begin
+    result := false;
+    if Pos(s_ru, info) > 0 then
+      result := true
+    else if Pos(s_en, info) > 0 then
+      result := true
+  end;
+  
+  function TypeNamePT(s: string): string;
+  begin
+    result := '';
+    case s of
+      'логического типа', 'of logical type':
+      result := 'boolean';
+      'целого типа', 'of integer type':
+      result := 'integer';
+      'вещественного типа', 'of real-number type':
+      result := 'real';
+      'символьного типа', 'of character type':
+      result := 'char';
+      'строкового типа', 'of string type':
+      result := 'string';
+    end;
+    if result = '' then
+      if s.startswith('типа') then
+        result := copy(s, 6, 100)
+      else if s.startswith('of') then
+      begin
+        delete(s, 1, 3);
+        delete(s, length(s) - 4, 100);
+        result := s;
+      end; 
+  end;
+  
+  procedure ExtractParts(var p1, p2, p3: string);
+  begin
+    var m := Regex.Match(info, 'Для ввода (.*)-го элемента \((.*)\) использована переменная (.*).');
+    if m.Success then
+    begin
+      p1 := m.Groups[1].Value;
+      p2 := TypeNamePT(m.Groups[2].Value);
+      p3 := TypeNamePT(m.Groups[3].Value);
+      exit;
+    end;
+    m := Regex.Match(info, 'A variable (.*) is used for input of data item with the order number (.*) \((.*)\).');
+    if m.Success then
+    begin
+      p1 := m.Groups[2].Value;
+      p2 := TypeNamePT(m.Groups[3].Value);
+      p3 := TypeNamePT(m.Groups[1].Value);
+      exit;
+    end;
+    
+    m := Regex.Match(info, 'Для вывода (.*)-го элемента \((.*)\) использовано выражение (.*).');
+    if m.Success then
+    begin
+      p1 := m.Groups[1].Value;
+      p2 := TypeNamePT(m.Groups[2].Value);
+      p3 := TypeNamePT(m.Groups[3].Value);
+      exit;
+    end;
+    m := Regex.Match(info, 'An expression (.*) is used for output of data item with the order number (.*) \((.*)\).');
+    if m.Success then
+    begin
+      p1 := m.Groups[2].Value;
+      p2 := TypeNamePT(m.Groups[3].Value);
+      p3 := TypeNamePT(m.Groups[1].Value);
+      exit;
+    end;  
+    
+    m := Regex.Match(info, 'Количество выведенных данных: (.*) \(из (.*)\).');
+    if m.Success then
+    begin
+      p1 := m.Groups[1].Value;
+      p2 := m.Groups[2].Value;
+      p3 := '';
+      exit;
+    end;
+    m := Regex.Match(info, 'The program has output (.*) data item\(s\) \(the amount of the required items is (.*)\).');
+    if m.Success then
+    begin
+      p1 := m.Groups[1].Value;
+      p2 := m.Groups[2].Value;
+      p3 := '';
+      exit;
+    end;
+    
+    m := Regex.Match(info, 'Количество прочитанных данных: (.*) \(из (.*)\).');
+    if m.Success then
+    begin
+      p1 := m.Groups[1].Value;
+      p2 := m.Groups[2].Value;
+      p3 := '';
+      exit;
+    end;
+    m := Regex.Match(info, 'The program has used (.*) input data item\(s\) \(the amount of the required items is (.*)\).');
+    if m.Success then
+    begin
+      p1 := m.Groups[1].Value;
+      p2 := m.Groups[2].Value;
+      p3 := '';
+      exit;
+    end;
+  end;
+
+begin
+  // Если мы сюда зашли, то TaskResult уже под контролем. Но она и так должна быть TaskStatus.InitialTaskPT4
+  TaskResult := TaskStatus.InitialTaskPT4;
+  TaskResultInfo := 'PT4';
+  var p1, p2, p3: string;
+  if info = '' then
+    exit;
+  if HasSubstr('Задание выполнено', 'The task is solved') then
+    //ColoredMessage('Задание выполнено', MsgColorGreen)
+    TaskResult := TaskStatus.Solved
+  else if HasSubstr('Ошибочное решение', 'Wrong solution') then
+    //ColoredMessage('Неверное решение')
+    TaskResult := TaskStatus.BadSolution
+  else if HasSubstr('Неверно указан тип при выводе результатов', 'Invalid type is used for an output data item') then
+  begin
+    ExtractParts(p1, p2, p3);
+    TaskResult := TaskStatus.IOError;
+    TaskResultInfo := $'OutputType({p1},{p2},{p3})';
+    //ColoredMessage($'Ошибка вывода. При выводе {p1}-го элемента типа {p2} выведено значение типа {p3}');
+  end
+  else if HasSubstr('Выведены не все результирующие данные', 'Some data are not output') then  
+  begin
+    ExtractParts(p1, p2, p3);
+    TaskResult := TaskStatus.IOError;
+    TaskResultInfo := $'OutputCount({p1},{p2})';
+    //ColoredMessage($'Выведено {p1}, а требуется вывести {p2}', MsgColorOrange);
+  end
+  else if HasSubstr('Неверно указан тип при вводе исходных данных', 'Invalid type is used for an input data item') then
+  begin
+    ExtractParts(p1, p2, p3);
+    TaskResult := TaskStatus.IOError;
+    TaskResultInfo := $'InputType({p1},{p2},{p3})';
+    //ColoredMessage($'Ошибка ввода. При вводе {p1}-го элемента типа {p2} использована переменная типа {p3}');
+  end
+  else if HasSubstr('Введены не все требуемые исходные данные', 'Some required data are not input.') then  
+  begin
+    ExtractParts(p1, p2, p3);
+    TaskResult := TaskStatus.IOError;
+    TaskResultInfo := $'InputCount({p1},{p2})';
+    //ColoredMessage($'Введено {p1}, а требуется ввести {p2}', MsgColorOrange);
+  end
+  else if HasSubstr('Запуск с правильным вводом данных', 'Correct data input') then  
+  begin
+    TaskResult := TaskStatus.PartialSolution;
+    //ColoredMessage('Запуск с правильным вводом данных', MsgColorGray)
+  end;
+  {else
+        ColoredMessage('PT4: '+info.Replace(#13#10, ' ').TrimStart().TrimEnd('.',' '));}
+end;
+
+function ConvertTaskName(tn: string): string;
+begin
+  var TName := tn;
+  // Если есть номер с подчеркиванием в начале, то отбросить его
+  var ind := TName.IndexOf('_');
+  if (ind >= 0) and TName[1].IsDigit then // Значит, в начале - номер, он служит лишь для упорядочения файлов
+    TName := TName.Remove(0,ind + 1);
+  if TName.ToLower in TaskNamesMap then
+    TName := TaskNamesMap[TName.ToLower];
+  Result := TName;
+end;
+
+procedure ClearLists;
+begin
+  CurPosInInputList := 0;
+  CurPosInInputListInTestMode := 0;
+  OutputString.Clear;
+  OutputList.Clear;
+  InputList.Clear;
+  InitialOutputList.Clear; 
+  InitialInputList.Clear;  
+end; 
+
+function InitSolveProcPair: (System.Reflection.MethodInfo, System.Reflection.MethodInfo);
+begin
+  // Взял из PT.pas
+  var asm := System.Reflection.Assembly.GetExecutingAssembly;
+  var nm := asm.FullName;
+  Delete(nm, Pos(',', nm), length(nm));
+  var prg := asm.GetType(nm+'.Program');
+  var solveproc := prg.GetMethod('$Main');
+  var initproc := prg.GetMethod('$_InitVariables_');
+  if (solveproc = nil) or (initproc = nil) then
+    foreach var prg0 in asm.GetTypes() do
+    begin
+      prg := prg0;
+      solveproc := prg0.GetMethod('$Main');
+      initproc := prg0.GetMethod('$_InitVariables_');
+      if (solveproc <> nil) and (initproc <> nil) then
+        break;
+    end;
+  Result := (InitProc,SolveProc);  
+end; 
+
+procedure CheckMyPT;
+begin
+  if CheckTask = nil then
+    exit;
+  var TName := TaskName;
+  try
+    TName := ConvertTaskName(TaskName);
+    TestMode := tmNone;
+    TestNumber := 0;
+    CheckTask(TName); // может выдавать сообщения, предваряющие неверное решение, в CheckOutput. 
+    if {not IsPT and not IsRobot and not IsDrawMan and} (TestCount > 0) then // То это LightPT - т.к. только в LightPT TestCount м.б. > 0
+    begin
+      var (InitProc,SolveProc) := InitSolveProcPair;
+        
+      if (GenerateTestData <> nil) and (TaskResult = Solved) then
+        for var i:=1 to TestCount do
+        begin
+          TestNumber := i;
+          ClearLists;
+          TestMode := tmGenTest;
+          GenerateTestData(i);
+          
+          if TestMode<>tmAutoTest then
+            TestMode := tmTest;
+          try
+            if InitProc<>nil then
+              InitProc.Invoke(nil,nil);
+            SolveProc.Invoke(nil,nil);
+          except
+            on e: System.Reflection.TargetInvocationException do
+              raise e.InnerException;
+          end;
+          //InputList := InputList; 
+          //OutputList := OutputList; 
+          
+          CheckTask(TName);
+          if TaskResult = BadSolution then
+            break; // хоть один тест неудачный - выходим!
+          // Подумать над выводом ошибки при тестах
+        end;
+    end;
+    Silent := False;
+    // Если это задача из задачника, то результат будет NotUnderControl. И дальше необходимо это преобразовывать
+    case TaskResult of
+      Solved: ColoredMessage('Задание выполнено', MsgColorGreen);
+      BadSolution: begin
+        ColoredMessage('Неверное решение');
+      end;
+      InitialTask: ;
+      BadInitialTask: ColoredMessage('Вы удалили часть кода - восстановите его!', MsgColorMagenta);
+    end;
+  except
+    // При тестировании тут вряд ли будут ошибки. Но могут
+    on e: OutputTypeException do
+    begin
+      Silent := False;
+      ColoredMessage($'Ошибка вывода. При выводе {e.n}-го элемента типа {e.ExpectedType} выведено значение типа {e.ActualType}'); 
+    end;
+    on e: OutputCountException do
+    begin
+      Silent := False;
+      if e.Count = 0 then
+        ColoredMessage($'Требуется вывести {NValues(e.n)}', MsgColorGray)
+      else ColoredMessage($'Выведено {NValues(e.Count)}, а требуется вывести {e.n}', MsgColorOrange); 
+    end;
+    on e: OutputCount2Exception do
+    begin
+      Silent := False;
+      if e.Count = 0 then
+        ColoredMessage($'Требуется вывести по крайней мере {NValues(e.i)}', MsgColorGray)
+      else ColoredMessage($'Выведено {NValues(e.Count)}, а требуется вывести по крайней мере {e.i}', MsgColorOrange); 
+    end;
+    on e: InputTypeException do
+    begin
+      Silent := False;
+      ColoredMessage($'Ошибка ввода. При вводе {e.n}-го элемента типа {e.ExpectedType} использована переменная типа {e.ActualType}'); 
+    end;
+    on e: InputCountException do
+    begin
+      Silent := False;
+      if e.Count = 0 then
+        ColoredMessage($'Требуется ввести {NValues(e.n)}', MsgColorGray)
+      else if e.n <> 0 then 
+        ColoredMessage($'Введено {NValues(e.Count)}, а требуется ввести {e.n}', MsgColorOrange)
+      else ColoredMessage($'Введено {NValues(e.Count)}, хотя ничего вводить не требуется', MsgColorOrange); 
+    end;
+    on e: InputCount2Exception do
+    begin
+      Silent := False;
+      if e.Count = 0 then
+        ColoredMessage($'Требуется ввести по крайней мере {NValues(e.i)}', MsgColorGray)
+      else ColoredMessage($'Введено {NValues(e.Count)}, а требуется ввести по крайней мере {e.i}', MsgColorOrange); 
+    end;
+    on e: NotInTestModeException do
+    begin
+      Silent := False;
+      ColoredMessage($'Метод {e.FuncName} может вызываться только в режиме тестирования вне GenerateTestData! Он - внутренний и не предназначен для вызова разработчиком теста!', MsgColorOrange); 
+    end;
+    on e: NotInTestGenModeException do
+    begin
+      Silent := False;
+      ColoredMessage($'Метод {e.FuncName} может вызываться только в режиме генерации тестов (в GenerateTestData)!', MsgColorOrange); 
+    end;
+    on e: InputCountTest2Exception do
+    begin
+      Silent := False;
+      ColoredMessage($'Неверно составлен тест! Введено {NValues(e.Count)}, а требуется ввести по крайней мере {e.i}. Возможно, неверно заполнен InputList в GenerateTestData', MsgColorOrange); 
+    end;
+    on e: InputTypeTestException do
+    begin
+      Silent := False;
+      ColoredMessage($'Неверно составлен тест! При вводе {e.n}-го элемента типа {e.ExpectedType} использована переменная типа {e.ActualType}. Возможно, неверно заполнен InputList в GenerateTestData'); 
+    end;
+    on e: InputTestCountMismatchException do
+    begin
+      Silent := False;
+      ColoredMessage($'Неверно составлен тест! Несоответствие количества входных данных в тесте и основном запуске. Возможно, неверно заполнен InputList в GenerateTestData'); 
+    end;
+    on e: InputTestTypesMismatchException do
+    begin
+      Silent := False;
+      ColoredMessage($'Неверно составлен тест! Несоответствие типов входных данных в тесте и основном запуске. Возможно, неверно заполнен InputList в GenerateTestData'); 
+    end;
+  end;
+  // Для задачника надо вызывать процедуру __FinalizeModule__ из модуля PT4 jnhf;tybtv, а в модуле PT4 эту процедуру тогда не вызывть
+  // Для задачника в CheckTaskPT надо сказать, что проверяется задача из задачника. И выводить на экран ничего не надо - только в базу.
+  TaskResultInfo := TaskException.Info;
+  
+  var TaskPlatform := 'LT';
+  
+  // Теперь тщательно проверяем задачник и исполнителей
+  if IsPT then
+  begin
+    PT4CheckSolution;
+    TName := TaskName;
+    var info := GetSolutionInfoPT4;
+    CalcPT4Result(info,TaskResult,TaskResultInfo);
+    TaskPlatform := 'PT';
+  end
+  else if IsRobot then
+  begin  
+    RobotCheckSolution;
+    TName := TaskName;
+    TaskPlatform := 'RB';
+  end  
+  else if IsDrawman then
+  begin  
+    DrawmanCheckSolution;
+    TName := TaskName;
+    TaskPlatform := 'DM';
+  end;
+  // Хотелось бы писать в БД для Робота и др. имя задания в Task
+  if WriteInfoCallBack<>nil then
+    WriteInfoCallBack(LessonName,TName,TaskPlatform,TaskResult,TaskResultInfo);
+end;
+
+procedure LoadLightPTInfo;
+begin
+  try
+    var lines := ReadAllLines(lightptname);
+    foreach var line in lines do
+    begin
+      if line.Trim = '' then 
+        continue;
+      if LessonName = '' then
+        LessonName := line.ToWords.First // первое слово
+      else begin
+        var (name1,name2) := Regex.Split(line,'->');
+        TaskNamesMap[name1.Trim.ToLower] := name2.Trim;
+      end;
+    end;
+    if LessonName = '' then
+    begin
+      // Имя текущей папки. Плохо - в lightpt забыли написать имя урока
+      //var ttt := ExtractFileDir(System.Environment.GetCommandLineArgs[0]);
+      var ttt := ExpandFileName('.');
+      var LastDir := ttt.ToWords(System.IO.Path.DirectorySeparatorChar).LastOrDefault;
+      // Каталог может содержать пробелы. Брать первое слово
+      if LastDir<>nil then
+        LessonName := LastDir.ToWords.First;
+    end;
+  except
+    
+  end;
+end;
+
+{=========================================================}
+{            Процедуры для записи в базы данных           }
+{=========================================================}
+
+procedure WriteInfoToRemoteDatabase(auth: string; LessonName, TaskName, TaskPlatform, TaskResult, text, AdditionalInfo: string);
+begin
+  // Считать логин пароль из auth
+  var data := System.IO.File.ReadAllBytes(auth);
+  var arr := Decrypt(data).Split(#10);
+  var login,pass: string;
+  if arr.Length >= 2 then
+  begin
+    login := arr[0];
+    pass := arr[1];
+    // Теперь как-то записать в БД информацию
+    var User := new ServerAccessProvider(ServerAddr);
+    var t2 := User.SendPostRequest(login, pass, LessonName, TaskName, TaskPlatform, TaskResult, text, AdditionalInfo);
+    var v := t2.Result;
+    v := v;
+    if v <> 'Success' then
+      ColoredMessage('Ошибка сервера: '+v, MsgColorGray);
+    //Console.WriteLine(v);
+  end;
+end;
+
+procedure WriteInfoToDatabases(LessonName,TaskName,TaskPlatform: string; TaskResult: TaskStatus; AdditionalInfo: string := '');
+begin
+  try
+    System.IO.File.AppendAllText('db.txt', $'{LessonName} {TaskName} {dateTime.Now.ToString(''u'')} {TaskResult.ToString} {AdditionalInfo}' + #10);
+  except
+    on e: Exception do
+      ColoredMessage('Ошибка записи в файл db.txt. Обратитесь к преподавателю',MsgColorGray);
+  end; 
+  // Разделили ошибки записи в локальную и глобальную базу
+  try
+    var auth := FindAuthDat(); // файл авторизации ищется либо в текущей папке либо в папке на уровень выше
+    var args := System.Environment.GetCommandLineArgs;
+    if (auth <> '') and (args.Length >= 3) and (args[2].ToLower = 'true') then
+    begin  
+      var text := '';
+      if (TaskResult <> InitialTask) and (args.Length >= 4) then
+        text := args[3];
+      // Есть проблема паузы при плохой сети 
+      WriteInfoToRemoteDatabase(auth,LessonName,TaskName,TaskPlatform,TaskResult.ToString, text, AdditionalInfo);
+    end  
+  except
+    on e: System.AggregateException do
+    begin
+      foreach var x in e.InnerExceptions do
+        if x is HTTPRequestException then
+          ColoredMessage(x.InnerException?.Message??'',MsgColorGray)
+        else ColoredMessage(x.Message,MsgColorGray); 
+    end;
+    on e: Exception do
+      ColoredMessage(e.Message,MsgColorGray);
+  end;  
+end;
+
+{===========================================================}
+{        Переопределенные подсистемы ввода и вывода         }
+{===========================================================}
+type
+  IOLightSystem = class(__ReadSignalOISystem)
+  public
+    procedure write(obj: object); override;
+    begin
+      if TestMode = tmNone then
+        inherited write(obj);
+      OutputString += _ObjectToString(obj);
+      OutputList += obj;
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure writeln; override;
+    begin
+      if TestMode = tmNone then
+        inherited writeln;
+      OutputString += NewLine;
+      CreateNewLineBeforeMessage := False;
+    end;
+    
+    function ReadLine: string; override;
+    begin
+      if TestMode = tmTest then
+        Result := InputList.ReadTestDataString
+      else Result := inherited ReadLine;
+      
+      if not NeedAddDataToInputList then exit;
+        
+      InputList.Add(Result);
+      CreateNewLineBeforeMessage := False;
+    end;
+    
+    procedure readln; override;
+    begin
+      if TestMode = tmTest then
+        
+      else inherited readln;
+      CreateNewLineBeforeMessage := False;
+    end;
+    
+    procedure read(var x: integer); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+
+      if not NeedAddDataToInputList then exit;
+        
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: real); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataReal
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: char); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataChar
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: string); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataString
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: byte); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: shortint); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: smallint); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: word); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: longword); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: int64); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: uint64); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataInt
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: single); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataReal
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: boolean); override;
+    begin
+      if TestMode = tmTest then
+        x := InputList.ReadTestDataBoolean
+      else inherited Read(x);
+      
+      if not NeedAddDataToInputList then exit;
+
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+    
+    procedure read(var x: BigInteger); override;
+    begin
+      inherited Read(x);
+      InputList.Add(x);
+      CreateNewLineBeforeMessage := True;
+    end;
+  end;
+
+initialization
+  // Если LightPT добавляется в конец uses, то ее секция инициализации вызывается первой
+  // В этом случае ввод-вывод обязательно переключается, но потом он перекрывается и в основной программе не срабатывает
+  // Но в CheckPT используется ColoredMessage, которая выводит с помощью Console.WriteLine - ей всё равно
+  var tn := TypeName(CurrentIOSystem);
+  if (tn = 'IOStandardSystem') or (tn = '__ReadSignalOISystem') or (tn = 'IOGraphABCSystem') then
+    CurrentIOSystem := new IOLightSystem;
+  WriteInfoCallBack := WriteInfoToDatabases;
+  // Расшифровка LightPT.dat  
+  LoadLightPTInfo;
+finalization
+  CheckMyPT  
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/NUnitABC.pas b/TestSuite/CompilationSamples/NUnitABC.pas
new file mode 100644
index 000000000..62db4591b
--- /dev/null
+++ b/TestSuite/CompilationSamples/NUnitABC.pas
@@ -0,0 +1,71 @@
+unit NUnitABC;
+
+{$reference nunit.framework.dll}
+uses NUnit.Framework;
+
+procedure InitPABCSystem;
+begin
+  __InitPABCSystem;
+  System.Console.OutputEncoding := Encoding.GetEncoding(866);
+end;
+
+type 
+  CombinatorialAttribute = NUnit.Framework.CombinatorialAttribute;
+  PairwiseAttribute = NUnit.Framework.PairwiseAttribute;
+  IgnoreAttribute = NUnit.Framework.IgnoreAttribute;
+  OrderAttribute = NUnit.Framework.OrderAttribute;
+  SetUpAttribute = NUnit.Framework.SetUpAttribute;
+  TearDownAttribute = NUnit.Framework.TearDownAttribute;
+  TestAttribute = NUnit.Framework.TestAttribute;
+  TestCaseAttribute = NUnit.Framework.TestCaseAttribute;
+  TimeoutAttribute = NUnit.Framework.TimeoutAttribute;
+  RandomAttribute = NUnit.Framework.RandomAttribute;
+  RangeAttribute = NUnit.Framework.RangeAttribute;
+  RepeatAttribute = NUnit.Framework.RepeatAttribute;
+  TestFixtureAttribute = NUnit.Framework.TestFixtureAttribute;
+  ValuesAttribute = NUnit.Framework.ValuesAttribute;
+
+  Assert = NUnit.Framework.Assert;
+  Assume = NUnit.Framework.Assume;
+  Does = NUnit.Framework.Does;
+  Has = NUnit.Framework.Has;
+  &Is = NUnit.Framework.Is;
+  StringAssert = NUnit.Framework.StringAssert;
+  Warn = NUnit.Framework.Warn;
+
+  AllOperator = NUnit.Framework.Constraints.AllOperator;
+  AndOperator = NUnit.Framework.Constraints.AndOperator;
+  BinaryOperator = NUnit.Framework.Constraints.BinaryOperator;
+  CollectionOperator = NUnit.Framework.Constraints.CollectionOperator;
+  Interval = NUnit.Framework.Constraints.Interval;
+  OrOperator = NUnit.Framework.Constraints.OrOperator;
+  WithOperator = NUnit.Framework.Constraints.WithOperator;
+
+  Tolerance = NUnit.Framework.Constraints.Tolerance;
+
+  Constraint = NUnit.Framework.Constraints.Constraint;
+
+  AndConstraint = NUnit.Framework.Constraints.AndConstraint;
+  AnyOfConstraint = NUnit.Framework.Constraints.AnyOfConstraint;
+  BinaryConstraint = NUnit.Framework.Constraints.BinaryConstraint;
+  CollectionConstraint = NUnit.Framework.Constraints.CollectionConstraint;
+  EndsWithConstraint = NUnit.Framework.Constraints.EndsWithConstraint;
+  EqualConstraint = NUnit.Framework.Constraints.EqualConstraint;
+  FalseConstraint = NUnit.Framework.Constraints.FalseConstraint;
+  GreaterThanConstraint = NUnit.Framework.Constraints.GreaterThanConstraint;
+  GreaterThanOrEqualConstraint = NUnit.Framework.Constraints.GreaterThanOrEqualConstraint;
+  LessThanConstraint = NUnit.Framework.Constraints.LessThanConstraint;
+  LessThanOrEqualConstraint = NUnit.Framework.Constraints.LessThanOrEqualConstraint;
+  NotConstraint = NUnit.Framework.Constraints.NotConstraint;
+  OrConstraint = NUnit.Framework.Constraints.OrConstraint;
+  RangeConstraint = NUnit.Framework.Constraints.RangeConstraint;
+  StartsWithConstraint = NUnit.Framework.Constraints.StartsWithConstraint;
+  StringConstraint = NUnit.Framework.Constraints.StringConstraint;
+  SubStringConstraint = NUnit.Framework.Constraints.SubStringConstraint;
+  TrueConstraint = NUnit.Framework.Constraints.TrueConstraint;
+   
+  AssertionException = NUnit.Framework.AssertionException;
+
+begin
+  
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/PT4Databases.pas b/TestSuite/CompilationSamples/PT4Databases.pas
new file mode 100644
index 000000000..dbe3f8767
--- /dev/null
+++ b/TestSuite/CompilationSamples/PT4Databases.pas
@@ -0,0 +1,509 @@
+unit PT4Databases;
+//uses PrintAttributeUnit;
+
+function PrintAttributeString(a: object): string; forward;
+function PrintAttributeString(a: object; fProvider: System.IFormatProvider): string; forward;
+
+type 
+  Country = auto class
+  private
+    _name, _capital: string;
+    _population: integer;
+    _continent: string;
+  public
+    [PrintAttribute(0, -32)]
+    property Name: string read _name;
+    [PrintAttribute(' ', 1, -19)]
+    property Capital: string read _capital;
+    [PrintAttribute(3, 13, 'd')]
+    property Population: integer read _population;
+    [PrintAttribute(' ', 2, -9)]
+    property Continent: string read _continent;
+  end;
+
+  Страна = auto class
+  private
+    _name, _capital: string;
+    _population: integer;
+    _continent: string;
+  public
+    [PrintAttribute(0, -32)]
+    property Название: string read _name;
+    [PrintAttribute(' ', 1, -19)]
+    property Столица: string read _capital;
+    [PrintAttribute(3, 13, 'd')]
+    property Население: integer read _population;
+    [PrintAttribute(' ', 2, -9)]
+    property Континент: string read _continent;
+  end;
+
+
+  ТипПола = (Муж, Жен);
+
+  Pupil = auto class
+  private
+    _name: string;
+    _gender: ТипПола; 
+    _height: integer;
+    _cls: integer;
+    _inSunSchool: boolean; 
+    function getGender: ТипПола := _gender;
+  public
+    [PrintAttribute(0, -16)]
+    property Name: string read _name;
+    [PrintAttribute(' ', 1, -3)]
+    property Gender: ТипПола read getGender;
+    [PrintAttribute(' ', 2, 3, 'd')]
+    property Height: integer read _height;
+    [PrintAttribute(' ',3, 2, 'd')]
+    property Cls: integer read _cls;
+    [PrintAttribute(' ', 4, -5)]
+    property InSunSchool: boolean read _inSunSchool;
+  end;
+
+  Ученик = auto class
+  private
+    _name: string;
+    _gender: ТипПола; 
+    _height: integer;
+    _cls: integer;
+    _inSunSchool: boolean; 
+    function getGender: ТипПола := _gender;
+  public
+    [PrintAttribute(0, -16)]
+    property Фамилия: string read _name;
+    [PrintAttribute(' ', 1, -3)]
+    property Пол: ТипПола read getGender;
+    [PrintAttribute(' ', 2, 3, 'd')]
+    property Рост: integer read _height;
+    [PrintAttribute(' ',3, 2, 'd')]
+    property Класс: integer read _cls;
+    [PrintAttribute(' ', 4, -5)]
+    property УчитсяВКШ: boolean read _inSunSchool;
+  end;
+
+function GenderToТипПола(a: string): ТипПола := a = 'Муж' ? Муж : Жен;
+function InSunSchoolToBoolean(a: string): boolean := a = 'Да';
+
+type 
+  Fitness = auto class
+  private
+    _code, _year, _month, _time: integer;
+  public
+//    [PrintAttribute('( Code = ', 0, 2)]
+//    property Код: integer read _code;
+    [PrintAttribute('( Code = ', 0, 2)]
+    property Code: integer read _code;
+//    [PrintAttribute(' , Year = ', 1, 4)]
+//    property Год: integer read _year;
+    [PrintAttribute(' , Year = ', 1, 4)]
+    property Year: integer read _year;
+//    [PrintAttribute(' , Month = ', 2, 2)]
+//    property Месяц: integer read _month;
+    [PrintAttribute(' , Month = ', 2, 2)]
+    property Month: integer read _month;
+//    [PrintAttribute(' , Time = ', 3, 2)]
+//    property Время: integer read _time;
+    [PrintAttribute(' , Time = ', 3, 2)]
+    property Time: integer read _time;
+    function ToString: string; override;
+    begin
+      result := PrintAttributeString(self);
+    end;
+  end;
+  
+  Abitur = auto class
+  private
+    _name: string;
+    _year: integer;
+    _school: integer;
+  public
+//    [PrintAttribute('( Name = ', 0, -11)]
+//    property Фамилия: string read _name;
+    [PrintAttribute('( Name = ', 0, -11)]
+    property Name: string read _name;
+//    [PrintAttribute(', Year = ', 1, 4)]
+//    property Год: integer read _year;
+    [PrintAttribute(', Year = ', 1, 4)]
+    property Year: integer read _year;
+//    [PrintAttribute(' , School = ', 2, 2)]
+//    property Школа: integer read _school;
+    [PrintAttribute(' , School = ', 2, 2)]
+    property School: integer read _school;
+    function ToString: string; override;
+    begin
+      result := PrintAttributeString(self);
+    end;
+  end;
+
+  Debtor = auto class
+  private
+    _name: string;
+    _flat: integer;
+    _debt: real;
+  public
+//    [PrintAttribute('( Name = ', 0, -11)]
+//    property Фамилия: string read _name;
+    [PrintAttribute('( Name = ', 0, -11)]
+    property Name: string read _name;
+//    [PrintAttribute(', Flat = ', 1, 3)]
+//    property Квартира: integer read _flat;
+    [PrintAttribute(', Flat = ', 1, 3)]
+    property Flat: integer read _flat;
+//    [PrintAttribute(' , Debt = ', 2, 7, 'f2')]
+//    property Долг: real read _debt;
+    [PrintAttribute(' , Debt = ', 2, 7, 'f2')]
+    property Debt: real read _debt;
+//    [PrintAttribute(' , Entrance = ', 3, 1)]
+//    property Подъезд: integer read (_flat - 1) div 36 + 1;
+    [PrintAttribute(' , Entrance = ', 3, 1)]
+    property Entrance: integer read (_flat - 1) div 36 + 1;
+//    [PrintAttribute(' , Floor = ', 4, 1)]
+//    property Этаж: integer read (_flat - 1) mod 36 div 4 + 1;
+    [PrintAttribute(' , Floor = ', 4, 1)]
+    property Floor: integer read (_flat - 1) mod 36 div 4 + 1;
+    function ToString: string; override;
+    begin
+      result := PrintAttributeString(self);
+    end;
+  end;
+
+FuelStation = auto class
+  private
+    _brand, _price: integer;
+    _company, _street: string;
+  public
+//    [PrintAttribute('( Brand = ', 0, 2)]
+//    property Марка: integer read _brand;
+    [PrintAttribute('( Brand = ', 0, 2)]
+    property Brand: integer read _brand;
+//    [PrintAttribute(', Price = ', 1, 4)]
+//    property Цена: integer read _price;
+    [PrintAttribute(', Price = ', 1, 4)]
+    property Price: integer read _price;
+//    [PrintAttribute(', Company = ', 2, -12)]
+//    property Компания: string read _company;
+    [PrintAttribute(', Company = ', 2, -12)]
+    property Company: string read _company;
+//    [PrintAttribute(', Street = ', 3, -15)]
+//    property Улица: string read _street;
+    [PrintAttribute(', Street = ', 3, -15)]
+    property Street: string read _street;
+    function ToString: string; override;
+    begin
+      result := PrintAttributeString(self);
+    end;
+  end;
+
+PupilExam = auto class
+  private
+    _name: string;
+    _school, _point0, _point1, _point2: integer;
+//    [PrintAttribute(' , Point : ', 2, 3)]
+//    property Балл0: integer read _point0;
+    [PrintAttribute(' , Point : ', 2, 3)]
+    property Point0: integer read _point0;
+//    [PrintAttribute(' , ', 3, 3)]
+//    property Балл1: integer read _point1;
+    [PrintAttribute(' , ', 3, 3)]
+    property Point1: integer read _point1;
+//    [PrintAttribute(' , ', 4, 3)]
+//    property Балл2: integer read _point2;
+    [PrintAttribute(' , ', 4, 3)]
+    property Point2: integer read _point2;
+  public
+//    [PrintAttribute('( Name = ', 0, -16)]
+//    property ФИО: string read _name;
+    [PrintAttribute('( Name = ', 0, -16)]
+    property Name: string read _name;
+//    [PrintAttribute(', School = ', 1, 2)]
+//    property Школа: integer read _school;
+    [PrintAttribute(', School = ', 1, 2)]
+    property School: integer read _school;
+//    property Балл: array of integer read Arr(_point0, _point1, _point2);
+    property Point: array of integer read Arr(_point0, _point1, _point2);
+    function ToString: string; override;
+    begin
+      result := PrintAttributeString(self);
+    end;
+  end;
+
+PupilMark = auto class
+  private
+    _name: string;
+    _cls: integer;
+    _subject: string;
+    _mark: integer;
+  public
+//    [PrintAttribute('( Name = ', 0, -16)]
+//    property ФИО: string read _name;
+    [PrintAttribute('( Name = ', 0, -16)]
+    property Name: string read _name;
+//    [PrintAttribute(', Cls = ', 1, 2)]
+//    property Класс: integer read _cls;
+    [PrintAttribute(', Cls = ', 1, 2)]
+    property Cls: integer read _cls;
+//    [PrintAttribute(' , Subject = ', 2, -11)]
+//    property Предмет: string read _subject;
+    [PrintAttribute(' , Subject = ', 2, -11)]
+    property Subject: string read _subject;
+//    [PrintAttribute(' , Mark = ', 3, 1)]
+//    property Оценка: integer read _mark;
+    [PrintAttribute(' , Mark = ', 3, 1)]
+    property Mark: integer read _mark;
+    function ToString: string; override;
+    begin
+      result := PrintAttributeString(self);
+    end;
+  end;
+
+function ЗаполнитьМассивСтран: array of Страна;
+begin
+  var fname := 'c:\Program files (x86)\PascalABC.NET\Files\Databases\Страны.csv';
+  if fname = '' then
+    raise new System.ApplicationException('Не найден массив стран Databases\Страны.csv');
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(';'))
+    .Select(w->new Страна(w[0],w[1],w[2].ToInteger,w[3])).ToArray;
+end; 
+
+function GetCountries: array of Country;
+begin
+  var fname := 'c:\Program files (x86)\PascalABC.NET\Files\Databases\Страны.csv';
+  if fname = '' then
+    raise new System.ApplicationException('Не найден массив стран Databases\Страны.csv');
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(';'))
+    .Select(w->new Country(w[0],w[1],w[2].ToInteger,w[3])).ToArray;
+end; 
+
+function ЗаполнитьМассивУчеников: array of Ученик;
+begin
+  var fname := 'c:\Program files (x86)\PascalABC.NET\Files\Databases\Ученики.csv';
+  if fname = '' then
+    raise new System.ApplicationException('Не найден массив учеников Databases\Ученики.csv');
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(';'))
+    .Select(w->new Ученик(w[0],GenderToТипПола(w[2]),w[4].ToInteger,w[1].ToInteger,
+      InSunschoolToBoolean(w[3]))).ToArray;
+end; 
+
+function GetPupils: array of Pupil;
+begin
+  var fname := 'c:\Program files (x86)\PascalABC.NET\Files\Databases\Ученики.csv';
+  if fname = '' then
+    raise new System.ApplicationException('Не найден массив учеников Databases\Ученики.csv');
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(';'))
+    .Select(w->new Pupil(w[0],GenderToТипПола(w[2]),w[4].ToInteger,w[1].ToInteger,
+      InSunschoolToBoolean(w[3]))).ToArray;
+end; 
+
+function GetFitness: array of Fitness;
+begin
+  var fname := 'Fitness.tst';
+  if not FileExists(fname) then
+  begin
+    fname := 'Fitness.txt';
+    if not FileExists(fname) then
+    raise new System.IO.FileNotFoundException('Не найден файл-источник для массива объектов Fitness');
+  end;  
+  try  
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(','))
+    .Select(w->new Fitness(w[0].ToInteger,w[1].ToInteger,w[2].ToInteger,w[3].ToInteger)).ToArray;
+  except
+    raise new System.FormatException('Файл-источник для массива объектов Fitness содержит неверные данные');
+  end;
+end; 
+
+function GetAbiturs: array of Abitur;
+begin
+  var fname := 'Abitur.tst';
+  if not FileExists(fname) then
+  begin
+    fname := 'Abitur.txt';
+    if not FileExists(fname) then
+    raise new System.IO.FileNotFoundException('Не найден файл-источник для массива объектов Abitur');
+  end;  
+  try  
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(','))
+    .Select(w->new Abitur(w[0],w[1].ToInteger,w[2].ToInteger)).ToArray;
+  except
+    raise new System.FormatException('Файл-источник для массива объектов Abitur содержит неверные данные');
+  end;
+end; 
+
+function GetDebtors: array of Debtor;
+begin
+  var fname := 'Debtor.tst';
+  if not FileExists(fname) then
+  begin
+    fname := 'Debtor.txt';
+    if not FileExists(fname) then
+    raise new System.IO.FileNotFoundException('Не найден файл-источник для массива объектов Debtor');
+  end;  
+  try  
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(','))
+    .Select(w->new Debtor(w[0],w[1].ToInteger,w[2].ToReal)).ToArray;
+  except
+    raise new System.FormatException('Файл-источник для массива объектов Debtor содержит неверные данные');
+  end;
+end; 
+
+function GetFuelStations: array of FuelStation;
+begin
+  var fname := 'FuelStation.tst';
+  if not FileExists(fname) then
+  begin
+    fname := 'FuelStation.txt';
+    if not FileExists(fname) then
+      raise new System.IO.FileNotFoundException('Не найден файл-источник для массива объектов FuelStation');
+  end;    
+  try  
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(','))
+    .Select(w->new FuelStation(w[0].ToInteger,w[1].ToInteger,w[2],w[3])).ToArray;
+  except
+    raise new System.FormatException('Файл-источник для массива объектов FuelStation содержит неверные данные');
+  end;
+end; 
+
+function GetPupilExams: array of PupilExam;
+begin
+  var fname := 'PupilExam.tst';
+  if not FileExists(fname) then
+  begin
+    fname := 'PupilExam.txt';
+    if not FileExists(fname) then
+      raise new System.IO.FileNotFoundException('Не найден файл-источник для массива объектов PupilExam');
+  end;  
+  try  
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(','))
+    .Select(w->new PupilExam(w[0],w[1].ToInteger,w[2].ToInteger,w[3].ToInteger,w[4].ToInteger)).ToArray;
+  except
+    raise new System.FormatException('Файл-источник для массива объектов PupilExam содержит неверные данные');
+  end;
+end; 
+
+function GetPupilMarks: array of PupilMark;
+begin
+  var fname := 'PupilMark.tst';
+  if not FileExists(fname) then
+  begin
+    fname := 'PupilMark.txt';
+    if not FileExists(fname) then
+    raise new System.IO.FileNotFoundException('Не найден файл-источник для массива объектов PupilMark');
+  end;
+  try  
+  Result := ReadLines(fname)
+    .Select(s->s.ToWords(','))
+    .Select(w->new PupilMark(w[0],w[1].ToInteger,w[2],w[3].ToInteger)).ToArray;
+  except
+    raise new System.FormatException('Файл-источник для массива объектов PupilMark содержит неверные данные');
+  end;
+end; 
+
+function PrintAttributeString(a: object; fProvider: System.IFormatProvider): string;
+begin
+  var t := a.GetType();
+  var res := new Dictionary<integer, string>();
+  foreach var p in t.GetProperties(System.Reflection.BindingFlags.Public 
+    or System.Reflection.BindingFlags.NonPublic or System.Reflection.BindingFlags.Instance) do
+  begin
+    var att := p.GetCustomAttribute(typeof(PrintAttribute), false) as PrintAttribute;
+    if att = nil then
+      continue;
+    var (c, n, w, f) := (att.Comment, att.Num, att.Width, att.Fmt);
+    var val := '';
+    var o := p.GetValue(a, nil);
+    if (f <> '') and (o is System.IFormattable) then
+    begin
+      val := System.IFormattable(o).ToString(f, fProvider);
+    end
+    else
+    begin
+      val := o.ToString;
+    end;  
+    if w > 0 then
+      val := val.PadLeft(w)
+    else if w < 0 then
+      val := val.PadRight(-w);
+    res[n] := c + val;
+  end;
+  result := nil;
+  if res.Keys.Count = 0 then
+    exit;
+  result := '';  
+  foreach var k in res.Keys.OrderBy(e -> e) do
+  begin
+    result += res[k];
+  end;  
+  var delim := Copy(result, 2, 1);  
+  if result.StartsWith('{') then
+    result += (delim = ' ') ? ' }' : '}'
+  else if result.StartsWith('[') then
+    result += (delim = ' ') ? ' ]' : ']'
+  else if result.StartsWith('(') then
+    result += (delim = ' ') ? ' )' : ')'
+  else if result.StartsWith('''') then
+    result += (delim = ' ') ? ' ''' : ''''
+  else if result.StartsWith('"') then
+    result += (delim = ' ') ? ' "' : '"';
+end;
+
+function PrintAttributeString(a: object): string;
+begin
+  result := PrintAttributeString(a, nil);
+end;
+
+function ToStr(params a: array of object): string;
+begin
+  result := '';
+  var b := false;
+  foreach var e in a do
+  begin
+    if b then
+      result += ' '
+    else
+      b := true;
+    if e is real then
+      result += real(e).ToString(2)
+    else if e is string then
+      result += e.ToString()
+    else if e.GetType.FullName.StartsWith('System.Tuple') then
+    begin
+       var b1 := false;
+       foreach var e1 in e.GetType.GetProperties do
+       begin
+          if b1 then
+            result += ' '
+          else
+            b1 := true;
+          result += ToStr(Arr(e1.GetValue(e,nil)));      
+       end;   
+    end      
+    else if e is System.Collections.IEnumerable then
+    begin
+       var b1 := false;
+       var e1 := (e as System.Collections.IEnumerable).GetEnumerator;
+       while e1.MoveNext do
+       begin
+          if b1 then
+            result += ' '
+          else
+            b1 := true;
+          result += ToStr(Arr(e1.Current));
+       end;   
+    end      
+    else 
+          result += e.ToString();
+  end;
+end;
+
+begin  
+  
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Speech.pas b/TestSuite/CompilationSamples/Speech.pas
new file mode 100644
index 000000000..24067a128
--- /dev/null
+++ b/TestSuite/CompilationSamples/Speech.pas
@@ -0,0 +1,32 @@
+// Copyright (c) Ivan Bondarev, Stanislav Mikhalkovich (for details please see \doc\copyright.txt)
+// This code is distributed under the GNU LGPL (for details please see \doc\license.txt)
+{$reference System.Speech.dll}
+unit Speech;
+
+interface
+
+procedure Speak(s: string);
+
+procedure SpeakAsync(s: string);
+
+implementation
+
+uses System.Speech.Synthesis;
+
+var ss: SpeechSynthesizer;
+
+procedure Speak(s: string);
+begin
+  ss.Speak(s)
+end;
+
+procedure SpeakAsync(s: string);
+begin
+  ss.SpeakAsync(s)
+end;
+
+begin
+  ss := new SpeechSynthesizer;
+  var voices := ss.GetInstalledVoices;
+  ss.SelectVoice(voices[0].VoiceInfo.Name)
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Tasks.pas b/TestSuite/CompilationSamples/Tasks.pas
new file mode 100644
index 000000000..9fa381d27
--- /dev/null
+++ b/TestSuite/CompilationSamples/Tasks.pas
@@ -0,0 +1,15 @@
+// Базовый модуль-заглушка. Переопределяется в каталогах решаемых заданий
+unit Tasks;
+
+uses LightPT;
+
+procedure CheckTaskT(name: string);
+begin
+  TaskResult := NotUnderControl;
+
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Tasks1Arr.pas b/TestSuite/CompilationSamples/Tasks1Arr.pas
new file mode 100644
index 000000000..5ec92597c
--- /dev/null
+++ b/TestSuite/CompilationSamples/Tasks1Arr.pas
@@ -0,0 +1,258 @@
+unit Tasks1Arr;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+
+procedure CheckTaskT(name: string);
+begin
+  FlattenOutput; 
+  ClearOutputListFromSpaces;
+  case name of
+  'Arr0': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Empty);
+    CheckOutputSeq(Arr(5,4,3,2,1,777,5,4,3,2,1,777));
+  end;
+  'Arr1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Empty);
+    CheckOutputSeq(Arr(777,1,1,1,777));
+  end;
+  'Arr2': begin 
+    var n := 5;
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il.Select(x->x+1));
+  end;
+  'Arr3': begin 
+    var n := 5;
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il.Select(x->x*2));
+  end;
+  'Arr4': begin 
+    var n := 10;
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il+il.Select(x->x*x));
+  end;
+  'Arr5': begin 
+    var n := 10;
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il+il.Reverse);
+  end;
+  'ArrErr1': begin 
+    TaskResult := TaskStatus.ErrFix
+  end;
+  'ArrErr2': begin 
+    TaskResult := TaskStatus.ErrFix
+  end;
+  'Arr1Sum': begin 
+    var n := 10;
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := InputListAsIntegers.Select(x->x*0.1);
+    CheckOutputSeq(il+il.Sum);
+  end;
+  'Arr2Prod': begin 
+    CancelMessagesIfInitial := False;
+    ClearOutputListFromSpaces;
+    var n := 8;
+    CheckData(|cRe|*n, |cRe|*n);
+    GenerateTests(10,tRe(1,10,1)*n);
+    var il := ReArr(n).Select(x->x);
+    CheckOutputAfterInitial(il.Product);
+  end;
+  'Arr1_If': begin 
+    CancelMessagesIfInitial := False;
+    ClearOutputListFromSpaces;
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il+il.Where(x->x.IsEven));
+  end;
+  'Arr2_If': begin 
+    CancelMessagesIfInitial := False;
+    ClearOutputListFromSpaces;
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il+il.Where((x,i)->i.IsOdd));
+  end;
+  'Arr0_Count': begin 
+    CancelMessagesIfInitial := False;
+    ClearOutputListFromSpaces;
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var il := IntArr(n);
+    CheckOutputSeq(il+il.Count(x->x.IsOdd));
+  end;
+  'Arr1_Sum': begin 
+    ClearOutputListFromSpaces;
+    var n := InputList.Count;
+    GenerateTests(10,tInt*n);
+    var il := InputListAsIntegers.Where(x->x in 3..5).ToArray;
+    CheckOutputSeq(InputListAsIntegers+il+il.sum);
+  end;
+  'Arr2_Count': begin 
+    ClearOutputListFromSpaces;
+    var n := InputList.Count;
+    GenerateTests(10,tInt*n);
+    var il := InputListAsIntegers;
+    CheckOutputSeq(il+il.CountOf(2)+il.CountOf(3)+il.CountOf(4)+il.CountOf(5));
+  end;
+  'Arr1_MinMax': begin 
+    ClearOutputListFromSpaces;
+    var n := InputList.Count;
+    GenerateTests(10,tInt*n);
+    var il := InputListAsIntegers;
+    CheckOutputSeq(il+il.Min);
+  end;
+  'Arr2_MinMax': begin 
+    ClearOutputListFromSpaces;
+    var n := InputList.Count;
+    GenerateTests(10,tInt*n);
+    var il := InputListAsIntegers;
+    CheckOutputSeq(il+il.Max);
+  end;
+  'Arr3_MinMax': begin 
+    ClearOutputListFromSpaces;
+    var n := InputList.Count;
+    GenerateTests(10,tInt*n);
+    var il := InputListAsIntegers;
+    CheckOutputSeq(il+il.IndexMin);
+  end;
+  'ПоискВМассиве': begin 
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var a := InputListAsIntegers;
+    CheckOutputAfterInitial(5 in a);
+  end;
+  'ПоискВМассивеСтрок': begin 
+    CheckData(InitialInput := |cStr|, InitialOutput := |cStr|*8);
+    GenerateTests('Козлов','Серов','Иванова','Петров','Умнова','Хулиганкин','Белова','Ослов');
+    var s := Str(0);
+    var a := Arr('Козлов','Серов','Иванова','Петров','Умнова','Хулиганкин','Белова','Ослов');
+    CheckOutputAfterInitial(s in a);
+  end;
+  'Заполнение1': begin 
+    CheckData(Empty);
+    CheckOutputSeq(Arr(0,1,4,9,16,25,36,49,64,81));
+  end;
+  'Заполнение2Арифм': begin 
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(10,1,x->x+2));
+  end;
+  'Заполнение3Арифм': begin 
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(10,1,x->x+2));
+  end;
+  'Заполнение4Арифм': begin 
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(10,1.0,x->x+0.5));
+  end;
+  'Заполнение1Геом': begin 
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(10,1,x->x*2));
+  end;
+  'ЗаполнениеЧисламиФибоначчи': begin 
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(10,1,1,(x,y)->x+y));
+  end;
+  'СоседниеЭлементы1': begin 
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var a := IntArr(n);
+    var ol := new ObjectList;
+    ol.AddRange(a.Pairwise.Where(\(x,y)->x<y).Select(t->t[1]));
+    CheckOutputAfterInitialSeq(ol);
+  end;
+  'СоседниеЭлементы2': begin 
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10,tInt*n);
+    var a := InputListAsIntegers;
+    var ol := new ObjectList;
+    ol.AddRange(a);
+    ol.Add(a.Pairwise.Where(\(x,y)->x<y).Count);
+    CheckOutputSeq(ol);
+  end;
+  'ИнвертированиеМассива1': begin 
+    var n := 7;
+    CheckData(InitialOutput := |cStr|*n);
+    var a := OutSliceStrArr(0,n-1);
+    CheckOutputSeq(a + a.Reverse);
+  end;
+  'ИнвертированиеМассива2': begin 
+    CancelMessagesIfInitial := False;
+    // Введено целое, потом массив целых(n). Выведен этот массив
+    var n := Int;
+    CheckData(InitialInput := |cInt|*(n+1), InitialOutput := |cInt|*n);
+    // Тут сгенерировать тесты сложнее потому что длина массива переменная. В дело вступает лямбда
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var n := Random(5,10);
+      var a := ArrRandomInteger(n);
+      InputList.AddTestData(|n|+a);
+    end;
+    var a := IntArr(n);
+    var ares := a.Reverse.ToArray;
+    CheckOutputAfterInitialSeq(ares); 
+  end;
+  'СтрокаКакМассив1': begin 
+    CancelMessagesIfInitial := False;
+    CheckData(InitialOutput := |cStr|*2);
+    CheckOutputSeq(Arr('бочка','ночка','дочка','кочка','почка','точка')); 
+  end;
+  'СтрокаКакМассив2': begin 
+    CheckOutputSeq(Arr('миг','мир','пир','пар')); 
+  end;
+  'СтрокаКакМассив3': begin 
+    CancelMessagesIfInitial := False;
+    var s := 'на паркете написана абракадабра';
+    CheckData(InitialOutput := |cStr|*1);
+    
+    var ol := new ObjectList;
+    ol.Add(s);
+    ol.Add(s.CountOf('а'));
+    CheckOutputSeq(ol);
+  end;
+  'СтрокаКакМассив4': begin 
+    CheckOutput(True);
+  end;
+  'СтрокаКакМассив5': begin 
+    CheckOutputSeq(Arr('абракадабра','эбрэкэдэбрэ'));
+  end;
+
+
+  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('Arr0','Arr1','Arr2','Arr3','Arr4','Arr5',
+  'ArrErr1','ArrErr2','Arr1Sum','Arr2Prod','Arr1_If','Arr2_If','Arr0_Count','Arr1_Sum','Arr2_Count',
+  'Arr1_MinMax','Arr2_MinMax','Arr3_MinMax',
+  'ПоискВМассиве','ПоискВМассивеСтрок',
+  'Заполнение1','Заполнение2Арифм','Заполнение3Арифм','Заполнение4Арифм','Заполнение1Геом','ЗаполнениеЧисламиФибоначчи',
+  'СоседниеЭлементы1','СоседниеЭлементы2',
+  'ИнвертированиеМассива1','ИнвертированиеМассива2',
+  'СтрокаКакМассив1','СтрокаКакМассив2','СтрокаКакМассив3','СтрокаКакМассив4','СтрокаКакМассив5' );
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Tasks1Begin.pas b/TestSuite/CompilationSamples/Tasks1Begin.pas
new file mode 100644
index 000000000..ddb5d95f1
--- /dev/null
+++ b/TestSuite/CompilationSamples/Tasks1Begin.pas
@@ -0,0 +1,235 @@
+unit Tasks1Begin;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+  
+procedure CheckTaskT(name: string);
+begin
+  ClearOutputListFromSpaces; 
+
+  case name of
+  'Var_1': begin 
+    CheckData(InitialOutput := |cInt|);
+    CheckOutput(3,32); 
+  end;
+  'Var_2': begin 
+    CheckData(InitialOutput := |cInt|*2);
+    CheckOutput(3,4,20,45);
+  end;
+  'Var_4': begin 
+    CheckData(Input := Empty);
+    CheckOutput(25,3.14,100,0.75);
+  end;  
+  'Var_5': begin 
+    TaskResult := Solved;
+  end;  
+  'Var_6': begin 
+    CheckData(Input := Empty);
+    CompareTypeWithOutput(cStr,cStr,cStr,cStr,cInt,cInt);
+  end;  
+  'Calculations1': begin 
+    CheckData(InitialOutput := |cInt|*3);
+    CheckOutput(35,65,35+65,35*65);
+  end;
+  'Calculations2': begin 
+    CheckData(InitialOutput := |cInt,cInt,cStr,cInt|);
+    CheckOutput(35,65,cStr,35+65,cStr,35*65);
+  end;
+  'Calculations3': begin 
+    CheckData(InitialOutput := |cStr,cInt,cInt,cInt|);
+    CheckOutput(cStr,3,4,5,cStr,3+4+5);
+  end;
+  'Calculations4': begin 
+    CheckData(InitialOutput := |cStr,cInt|);
+    CheckOutput(cStr,253,cStr,253/10,cStr,253/100);
+  end;
+  'Read1': begin 
+    CheckData(InitialInput := |cInt,cInt|);
+    TestCount := 5;
+    GenerateTestData := tnum -> begin
+      var (a,b) := Random2(1,100);
+      InputList.AddTestData(|a,b|);
+    end;
+    CheckOutput(Int(0)+Int(1));
+  end;
+  'Read2': begin
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := |cRe,cRe|);
+    var S := Re(0)*Re(1);
+    var P := 2*(Re(0)+Re(1));
+    TestCount := 10;
+    GenerateTests(10, tRe(1,10,digits := 0)*2);
+    CheckOutputSilent(S,P); // Все сообщения ColoredMessage гасятся
+    if TaskResult <> Solved then
+      CheckOutput(P,S);
+  end;
+  'Task1': begin
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := |cRe,cRe|);
+    var S := Re(0)+Re(1);
+    var P := Re(0)*Re(1);
+    GenerateTests(10,tRe(1,10,0)*2); // Это когда нет особых случаев
+    CheckOutputSilent(S,P); // Все сообщения ColoredMessage гасятся
+    if TaskResult <> Solved then
+      CheckOutput(P,S);
+  end;
+  'Task2': begin
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := |cRe|);
+    var x := Re(0);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin // это когда есть особый случай
+      var a: real;
+      if tnum = 5 then
+        a := RandomReal(1,100,digits := 0)
+      else a := RandomReal(1,10,digits := 0);
+      InputList.AddTestData(|a|);
+    end;
+    CheckOutput(x*x,x*x*x,x*x*x*x);
+  end;
+  'Intermediate1': begin 
+    CheckData(Input := Empty);
+    CheckOutput(27);
+  end;
+  'Intermediate2': begin 
+    CheckData(Input := Empty);
+    CheckOutput(2.5);
+  end;
+  'Swap1':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      CheckOutput(666.666, 555.555);
+    end;
+  'Swap2': CheckOutput('Иванов', 'Петров', 'Петров', 'Иванов');
+  'AssignAdd1':
+    begin
+      FilterOnlyNumbers;
+      CheckData(InitialOutput := |cInt, cInt|);
+      CheckOutputSeq(Arr(1..9));  
+    end;
+  'AssignAdd2':
+    begin
+      FilterOnlyNumbers;
+      CheckInitialOutput(cInt, cInt, cInt);
+      CheckOutput(1, 2, 4, 7, 11, 16, 22, 29, 37, 46);
+    end;  
+  'AssignMult':
+    begin
+      FilterOnlyNumbers;
+      CheckInitialOutput(cInt, cInt);
+      CheckOutput(1, 2, 4, 8, 16, 32, 64, 128, 256, 512, 1024);
+    end;  
+  'AssignMultAddGame':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      if OutputList.Count <> 1 then
+      begin  
+        ColoredMessage('Вы должны вывести ровно одно значение');
+        exit;
+      end;
+      TaskResult := TaskStatus.PartialSolution;
+      if CompareValues(OutputList[0],18) then
+        exit;
+      if CompareValues(OutputList[0],33) then
+        ColoredMessage('Молодец! Теперь получи в переменной a значение 67',MsgColorGray)
+      else CheckOutput(67);
+    end; 
+  'AssignMultAddКруги':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      CheckOutput(38);
+    end; 
+  'Sqrt1':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      if OutputList.Count <> 1 then
+      begin  
+        ColoredMessage('Вы должны вывести ровно одно значение');
+        exit;
+      end;
+      TaskResult := TaskStatus.PartialSolution;
+      if CompareValues(OutputList[0],Sqrt(2)) then
+        exit;
+      if CompareValues(OutputList[0],Sqrt(3)) then
+        ColoredMessage('Молодец! Теперь получи значение Sqrt(5)',MsgColorGray)
+      else if CompareValues(OutputList[0],Sqrt(5)) then
+        ColoredMessage('Молодец! Теперь получи значение Sqrt(7)',MsgColorGray)
+      else if CompareValues(OutputList[0],Sqrt(7)) then
+        CheckOutput(Sqrt(7)) // Верно
+      else CheckOutput(Sqrt(7)) // Неверно
+    end; 
+  'Abs_1':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      // Просто поясняющее сообщение
+      ColoredMessage('Abs - функция, убирающая знак числа. В математике известна как модуль числа', MsgColorGray);
+    end; 
+  'Abs_2_AB':
+    begin
+      FilterOnlyNumbers;
+      CheckData(InitialOutput := |cInt| * 6); 
+      CheckOutput(5,3,2,-1,5,6,7,4,3,9,18,9);
+    end; 
+  'SwapProc1':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      CheckOutput(3,1,7,5,1,3,5,7);
+    end; 
+  'SwapProc2':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      CheckOutput(1,2,3,4,2,1,3,4,2,3,1,4,2,3,4,1);
+    end; 
+  'DivMod01':
+    begin
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      // Просто поясняющее сообщение
+      ColoredMessage('Перепишите результат в тетрадь', MsgColorGray);
+    end; 
+  'DivMod02':
+    begin
+      FilterOnlyNumbers;
+      CheckData(InitialOutput := |cInt|*6);
+      CheckOutputAfterInitial(3,1,5,1,7,1);
+      //ColoredMessage('Если x - четно, то x mod 2 = 0', MsgColorGray);
+    end; 
+  'DivMod03':
+    begin
+      TaskResult := PartialSolution;
+      FilterOnlyNumbers;
+      CheckData(Input := Empty);
+      if OutputList.Count = 6 then
+      begin
+        if CompareValues(OutputList[0],37) then
+          ColoredMessage('Измените значение a на 123', MsgColorGray)
+        else if CompareValues(OutputList[0],123) then
+          ColoredMessage('Верно. Проверьте еще значение a = 12345', MsgColorGray)
+        else if CompareValues(OutputList[0],12345) then
+        begin  
+          ColoredMessage('Верно!', MsgColorGreen);
+          TaskResult := Solved;
+        end;  
+      end;
+    end; 
+  
+  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('Var_1','Var_2','Var_4','Var_5','Var_6',
+  'Calculations1','Calculations2','Calculations3','Calculations4',
+  'Read1','Read2','Task1','Task2','Intermediate1','Intermediate2','Swap1','Swap2',
+  'AssignAdd1','AssignAdd2','AssignMult','AssignMultAddGame','AssignMultAddКруги',
+  'Sqrt1','Abs_1','Abs_2_AB','SwapProc1','SwapProc2','DivMod01','DivMod02','DivMod03' );
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Tasks1BoolIfCase.pas b/TestSuite/CompilationSamples/Tasks1BoolIfCase.pas
new file mode 100644
index 000000000..034b3778f
--- /dev/null
+++ b/TestSuite/CompilationSamples/Tasks1BoolIfCase.pas
@@ -0,0 +1,435 @@
+unit Tasks1BoolIfCase;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+
+procedure CheckTaskT(name: string);
+begin
+  ClearOutputListFromSpaces; 
+
+  case name of
+  'Types1': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(cInt,cRe,cStr);
+  end;
+  'Types2': begin 
+    CheckData(Input := |cInt,cRe,cStr|);
+    CheckOutput(Int(0),Re(1),Str(2));
+  end;
+  'Types3': begin 
+    CheckData(Empty);
+    CheckOutput(cInt,cRe,cStr);
+  end;
+  'Boo1': begin 
+  end;
+  'Boo2': begin 
+    CheckOutput(False,True);
+    if TaskResult = BadSolution then
+      TaskResult := InitialTask
+  end;
+  'Boo3': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Empty);
+    CheckOutput(54,54 mod 3 = 0,54,54 mod 3 = 5)
+  end;
+  'Boo4': begin 
+    // Задачник
+  end;
+  'Boo5_And_Or': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Empty);
+    CheckOutput(cBool,cBool);
+  end;
+  'Boo7': begin 
+    FilterOnlyNumbersAndBools;
+    CheckOutput(True);
+    //if TaskResult = BadSolution then
+    //  TaskResult := InitialTask
+  end;
+  'If1Пароль': begin 
+    CheckData(InitialInput := |cInt|);
+    //if int(0)=777 then
+      CheckOutput('Пароль правильный');
+  end;
+  'If2Пароль': begin 
+    CheckData(Input := |cInt|);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var a := Random(1,1000);
+      if tnum = 5 then
+        a := 777;
+      InputList.AddTestData(|a|);
+    end;
+    if int(0)=777 then
+      CheckOutput('Пароль правильный')
+    else CheckOutput('Попытка взлома системы!');
+  end;
+  'If3ПроверкаИмени': begin 
+    CheckData(InitialInput := |cStr|);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var a := Arr('Саша','Петя','Вася','Оля').RandomElement;
+      if tnum = 5 then
+        a := 'Саша';
+      InputList.AddTestData(|a|);
+    end;
+    if Str(0)='Саша' then
+      CheckOutput('Привет Саша! Я тебя знаю')
+    else CheckOutput('Я тебя не знаю');
+  end;
+  'If4Четное': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(20,|tInt(1,100)|);
+    if Int(0) mod 2 = 0 then
+      CheckOutput(Int(0),'Четное')
+    else CheckOutput(Int(0),'Нечетное');
+  end;
+  'If5ЛогинПарольAnd': begin 
+    CancelMessagesIfInitial := False;
+    CheckData(InitialInput := |cStr,cInt|);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var a := Arr('Angel','Demon','Ogr').RandomElement;
+      var p := Arr(777,666,555).RandomElement;
+      if tnum = 5 then
+        (a,p) := ('Angel',777);
+      InputList.AddTestData(|object(a),object(p)|);
+    end;
+    if (Str(0) = 'Angel') and (Int(1) = 777) then
+      CheckOutput('Вход разрешен')
+    else CheckOutput('Попытка взлома системы!');
+  end;
+  'If6ЛогинOr': begin 
+    CheckData(InitialInput := |cStr|);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var a := Arr('Angel','Demon','Alex','John','Olga','Iris').RandomElement;
+      if tnum = 5 then
+        a := 'Angel'
+      else if tnum = 6 then
+        a := 'Demon';
+      InputList.AddTestData(a);
+    end;
+    if (Str(0) = 'Angel') or (Str(0) = 'Devil') then
+      CheckOutput('Вход разрешен')
+    else CheckOutput('Попытка взлома системы!');
+  end;
+  'If7Not': begin 
+    FilterOnlyNumbersAndBools;
+    CheckOutput(True,False);
+    if TaskResult = BadSolution then
+      TaskResult := PartialSolution;
+  end;
+  'If8Зима': begin 
+    CheckData(Input := |cInt|);
+    var m := Int(0);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var a := Random(1,12);
+      case tnum of
+        5: a := 12;
+        6: a := 1; 
+        7: a := 2;
+      end;
+      InputList.AddTestData(a);
+    end;
+    CheckOutput(m in |12,1,2|? 'Зима':'Не зима')
+  end;
+  'If8ЧетДвузнач': begin 
+    CheckData(Input := |cInt|);
+    var x := Int(0);
+    TestCount := 20;
+    GenerateTestData := tnum -> begin
+      var x := Random(5,15);
+      case tnum of
+        5: x := 9;
+        6: x := 10; 
+        7: x := 99;
+        8: x := 100;
+      end;
+      InputList.AddTestData(x);
+    end;
+    var b := x.IsEven and (x in 10..99);
+    if b then
+      CheckOutput('Это чётное двузначное')
+    else CheckOutput();
+  end;
+  'If9ВДиапазоне': begin 
+    CheckData(Input := |cInt|);
+    var x := Int(0);
+    var b :=  x in 3..5;
+    TestCount := 20;
+    GenerateTestData := tnum -> begin
+      var x := Random(1,5);
+      case tnum of
+        5: x := 2;
+        6: x := 3; 
+        7: x := 5;
+        8: x := 6;
+      end;
+      InputList.AddTestData(x);
+    end;
+    if b then
+      CheckOutput('экзамен сдан')
+    else CheckOutput('экзамен не сдан')
+  end;
+  'If9НеВДиапазоне': begin 
+    CheckData(Input := |cInt|);
+    var H := Int(0);
+    TestCount := 20;
+    GenerateTestData := tnum -> begin
+      var x := Random(100,200);
+      case tnum of
+        5: x := 149;
+        6: x := 150; 
+        7: x := 190;
+        8: x := 191;
+      end;
+      InputList.AddTestData(x);
+    end;
+
+    var b := H not in 150..190;
+    if b then
+      CheckOutput('Необычный рост')
+    else CheckOutput('Норма')
+  end;
+  'Minmax_2': begin 
+    CheckData(InitialOutput := |cInt|);
+    CheckOutputSeq(Arr(3,5,3,5,6,6));
+  end;
+  'ВложенныеIf2': begin 
+    CheckData(Input := |cStr,cInt|);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var name := Arr('Alex','Bob','John').RandomElement;
+      var pass := Arr(555,666,777).RandomElement;
+      case tnum of
+        1: (name,pass) := ('Alex',666);
+        2: (name,pass) := ('Alex',777);
+        3: (name,pass) := ('Bob',666);
+        4: (name,pass) := ('Bob',444);
+      end;
+      InputList.AddTestData(name);
+      InputList.AddTestData(pass);
+    end;
+    if (Str(0) = 'Alex') then
+      if (Int(1) = 666) then
+        CheckOutput('Вход разрешен')
+      else CheckOutput('Пароль неверен')
+    else CheckOutput('Логин неверен');
+  end;
+  'ЦепочечныеIf1': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(20,|tInt(1,4)|);
+    case Int(0) of
+      1: CheckOutput('Зима');
+      2: CheckOutput('Весна');
+      3: CheckOutput('Лето');
+      4: CheckOutput('Осень');
+    end;
+  end;
+  'ЦепочечныеIf2': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(20,|tInt(2,5)|);
+    case Int(0) of
+      2: CheckOutput('неудовлетворительно');
+      3: CheckOutput('удовлетворительно');
+      4: CheckOutput('хорошо');
+      5: CheckOutput('отлично');
+    end;
+  end;
+  //'ЦепочечныеIf3': begin end;
+  'ЦепочечныеIf4': begin 
+    CheckData(Input := |cStr|);
+    TestCount := 4;
+    GenerateTestData := tnum -> begin
+      var word: string;
+      case tnum of
+        1: word := 'черное';
+        2: word := 'высокий';
+        3: word := 'худой';
+        4: word := 'хорошо';
+      end;
+      // жуткое исключение если в InputList ничего не добавить!!!
+      InputList.AddTestData(word);
+    end;
+    case Str(0) of
+      'черное' : CheckOutput('белое');
+      'высокий': begin
+        CheckOutputSilent('низкий');
+        if TaskResult = TaskStatus.BadSolution then
+          CheckOutput('невысокий');
+      end;  
+      'худой'  : begin
+        CheckOutputSilent('толстый');
+        if TaskResult = TaskStatus.BadSolution then
+          CheckOutputSilent('полный');
+        if TaskResult = TaskStatus.BadSolution then
+          CheckOutput('жирный');
+      end;  
+      'хорошо' : CheckOutput('плохо');
+      else CheckOutput('');
+    end;
+  end;
+  'ЦепочечныеIf5': begin 
+    CheckData(Input := |cInt|);
+    //GenerateTests(20,tInt(1,6)*1);
+    GenerateTests(1,2,3,4,5,6);
+    // Хотелось бы генерировать неслучайные тесты из некоторого диапазона
+    // Непонятно, как совмещать несколько параметров
+    case Int(0) of
+      1,5: CheckOutput(1);
+      3,4: CheckOutput(2);
+      2,6: CheckOutput(3);
+    end;
+  end;
+  'If0Situations1': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(10,tInt(-1,1)*1);
+    if Int(0)<0 then
+      CheckOutput('отрицательное')
+    else if Int(0)=0 then
+      CheckOutput('равно 0')
+    else CheckOutput('положительное')
+  end;
+  'Holidays': begin 
+    CheckData(Input := |cInt,cInt|);
+    var (d,m) := (Int(0),Int(1));
+    //GenerateTests(список кортежей)
+    //GenerateTests(список значений)
+    GenerateTests((1,1),(23,2),(8,3),(1,5),(9,5),(12,6),(4,11),(12,12),(7,13));
+    if (d,m) = (1,1) then
+      CheckOutput('Новый год')
+    else if (d,m) = (23,2) then
+      CheckOutput('День защитника Отечества')
+    else if (d,m) = (8,3) then
+      CheckOutput('Международный женский день')
+    else if (d,m) = (1,5) then
+      CheckOutput('Первомай')
+    else if (d,m) = (9,5) then
+      CheckOutput('День Победы')
+    else if (d,m) = (12,6) then
+      CheckOutput('День России')
+    else if (d,m) = (4,11) then
+      CheckOutput('День народного единства')
+    else CheckOutput('');
+  end;
+  'IfXSituations2': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(-2,-1,0,1,2);
+    if Int(0) < 3 then
+      CheckOutput('x меньше 3')
+    else if Int(0) in 3..5 then
+      CheckOutput('x от 3 до 5')
+    else if Int(0) > 5 then 
+      CheckOutput('x больше 5')
+  end;
+  'IfDiscriminant': begin 
+    CheckData(Input := |cRe,cRe,cRe|);
+    GenerateTests(20,tRe(-3,3,digits := 1)*3);
+    var (a,b,c) := (Re(0),Re(1),Re(2));
+    var d := B*B-4*A*C;
+    if d<0 then
+      CheckOutput('Корней нет')
+    else if d=0 then
+      CheckOutput('Один корень')
+    else CheckOutput('Два корня')
+  end;
+  'Case1': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(1,2,3,4,5,6,7);
+    case Int(0) of
+    1: CheckOutput('Понедельник');
+    2: CheckOutput('Вторник');
+    3: CheckOutput('Среда');
+    4: CheckOutput('Четверг');
+    5: CheckOutput('Пятница');
+    6: CheckOutput('Суббота');
+    7: CheckOutput('Воскресенье');
+    end;
+  end;
+  'Case2': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(1,2,3,4,5,6);
+    case Int(0) of
+    2: CheckOutput('Двойка');
+    3: CheckOutput('Тройка');
+    4: CheckOutput('Четверка');
+    5: CheckOutput('Пятерка');
+    else CheckOutput('Не оценка');
+    end;
+  end;
+  'Case3': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(1,2,3,4,5,6,7,8,9,10,11,12);
+    case Int(0) of
+    12,1,2: CheckOutput('Зима');
+    3..5: CheckOutput('Весна');
+    6..8: CheckOutput('Лето');
+    9..11: CheckOutput('Осень');
+    end;
+  end;
+  'Case4': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(1,2,3,4,5,6,7,8,9,10,11,12);
+    case Int(0) of
+    4,6,9,11: CheckOutput(30);
+    2: CheckOutput(28);
+    else CheckOutput(31);
+    end;
+  end;
+  'Diapason1_Case': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(20,tInt(80,230)*1);
+    case Int(0) of
+    80..119: CheckOutput('Карлик');
+    120..149: CheckOutput('Низкий');
+    150..179: CheckOutput('Средний');
+    180..230: CheckOutput('Высокий');
+    end;
+  end;
+  'TranslateRobot': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests('Left','Right','Up','Down');
+    case Str(0) of
+    'Left': CheckOutput('Влево');
+    'Right': CheckOutput('Вправо');
+    'Up': CheckOutput('Вверх');
+    'Down': CheckOutput('Вниз');
+    end;
+  end;
+  'Комнаты': begin 
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(1,2,3,4,5,6);
+    case Int(0) of
+    1,5: CheckOutput(1);
+    3,4: CheckOutput(2);
+    2,6: CheckOutput(3);
+    end;
+  end;
+  'Спецагенты': begin 
+    CheckData(InitialInput := |cStr|);
+    GenerateTests('Икс','Омега','Игрек','Кси','Бета','Зед','Пси','Вася','Петя','Оля');
+    case Str(0) of
+    'Икс', 'Омега': CheckOutput(1);
+    'Игрек', 'Кси', 'Бета': CheckOutput(2);
+    'Зед', 'Пси': CheckOutput(3);
+    else CheckOutput(999);
+    end;
+  end;  
+  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('Types1','Types2','Types3',
+  'Boo1','Boo2','Boo3','Boo4','Boo5_And_Or','Boo7',
+  'If1Пароль','If2Пароль','If3ПроверкаИмени','If4Четное','If5ЛогинПарольAnd','If6ЛогинOr','If7Not',
+  'If8Зима','Зима','If8ЧетДвузнач','If9ВДиапазоне','If9НеВДиапазоне','Minmax_2','ВложенныеIf2',
+  'ЦепочечныеIf1','ЦепочечныеIf2','ЦепочечныеIf3','ЦепочечныеIf4','ЦепочечныеIf5',
+  'If0Situations1','Holidays','IfXSituations2','IfDiscriminant',
+  'Case1','Case2','Case3','Case4','Diapason1_Case','TranslateRobot','Комнаты','Спецагенты');
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Tasks1Loops.pas b/TestSuite/CompilationSamples/Tasks1Loops.pas
new file mode 100644
index 000000000..91f79360c
--- /dev/null
+++ b/TestSuite/CompilationSamples/Tasks1Loops.pas
@@ -0,0 +1,865 @@
+unit Tasks1Loops;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+
+procedure CheckTaskT(name: string);
+begin
+  ClearOutputListFromSpaces; 
+
+  case name of
+  'LoopErr2': begin
+    TaskResult := ErrFix;
+    if OutputString.ToString = '*' then 
+      ColoredMessage('Сотри ; после do!',MsgColorGray);
+    if OutputString.ToString = '*'*50 then 
+      ColoredMessage('Молодец! И помни: нельзя ставить ; после do!',MsgColorGray);
+  end;
+  'LoopErr3': begin
+    TaskResult := ErrFix;
+    if OutputList.Count = 11 then 
+      ColoredMessage('Используй begin end для объединения нескольких операторов в один!',MsgColorGray);
+    if OutputList.Count = 20 then 
+      ColoredMessage('Молодец! Если в цикле - несколько действий, окайми их операторными скобками begin-end',MsgColorGray);
+  end;
+  'Loop_Arithm1': begin
+    ClearOutputListFromSpaces; 
+    var n := 10; 
+    CheckData(InitialOutput := |cInt|*n);
+    CheckOutputAfterInitialSeq(ArrGen(n,1,i->i+2));
+  end;
+  'Loop_Arithm2': begin 
+    ClearOutputListFromSpaces; 
+    CheckData(Input := Empty);
+    var sq := ObjectList.New.AddArithm(10,19,-2).AddArithm(9,1.1,0.1);
+    CheckOutputSeq(sq);
+  end;
+  'For1': begin
+    ClearOutputListFromSpaces;
+    CheckData(Empty);
+    TaskResult := InitialTask;
+    ColoredMessage('Что лучше в данном случае: цикл loop или цикл for?',msgColorGray);
+  end;
+  'For1a': begin
+    ClearOutputListFromSpaces; 
+    var n := 10; 
+    CheckData(InitialOutput := |cInt|*n);
+    var sq := ObjectList.New.AddArithm(10,2,2).AddArithm(10,2,2);
+    CheckOutputSeq(sq);
+  end;
+  'For1b': begin
+    ClearOutputListFromSpaces; 
+    var n := 10; 
+    CheckData(InitialOutput := |cInt|*n);
+    var sq := ObjectList.New.AddArithm(10,1,2).AddArithm(10,1,2);
+    CheckOutputSeq(sq);
+  end;
+  'For1b_step': begin
+    ClearOutputListFromSpaces; 
+    CheckData(Empty);
+    var sq := ObjectList.New.AddArithm(10,2,2).AddArithm(10,1,2);
+    CheckOutputSeq(sq);
+  end;
+  'For1c': begin
+    ClearOutputListFromSpaces; 
+    CheckData(Empty);
+    var sq := ObjectList.New.AddArithm(11,15,-1);
+    CheckOutputSeq(sq);
+  end;
+  'For1d': begin
+    ClearOutputListFromSpaces; 
+    CheckData(Empty);
+    var sq := ObjectList.New.AddArithm(10,20,-2);
+    CheckOutputSeq(sq);
+  end;
+  'For1e': begin
+    ClearOutputListFromSpaces; 
+    CheckData(Empty);
+    var sq := ObjectList.New.AddArithm(10,5,5).AddArithm(7,40,-4);
+    CheckOutputSeq(sq);
+  end;
+  'For1f': begin
+    ClearOutputListFromSpaces; 
+    CheckData(Empty);
+    var sq := ObjectList.New.AddArithm(9,1.9,-0.1).AddArithm(9,1.9,-0.1);
+    CheckOutputSeq(sq);
+  end;
+  'ForErr1': begin
+    TaskResult := ErrFix; // Задание на исправление ошибок
+    ColoredMessage('Всегда описывайте переменную i в заголовке цикла for',msgColorGray);
+  end;
+  'ForErr2': begin
+    TaskResult := ErrFix;
+    var a := OutputString.ToString.ToWords(NewLine);
+    ColoredMessage('Описывайте переменную i в заголовке цикла for: for var i',msgColorGray);
+    if a.Length < 2 then
+      ColoredMessage('Между циклами необходимо вызвать команду Println перехода на новую строку',msgColorRed);
+  end;
+  'ForErr3': begin
+    TaskResult := ErrFix;
+    ColoredMessage('Запомните: операторы не могут писаться до begin основной программы',msgColorGray);
+  end;
+  'ForErr4': begin
+    CheckData(Empty);
+    var sq := ObjectList.New.AddArithm(11,15,-1);
+    CheckOutputSeq(sq);
+  end;
+  'ForErr5': begin
+    CheckData(Empty);
+    //CheckInitialOutputValues('*');
+    CheckOutputSeq(ArrFill(50,'*'));
+  end;
+  'ForErr6': begin
+    TaskResult := ErrFix;
+    ColoredMessage('Если в цикле выполняется два и более действий, окаймите их begin end',msgColorGray);
+  end;
+  'ForErr7': begin
+    TaskResult := ErrFix;
+    ColoredMessage('В данном случае лучше использовать цикл loop',msgColorGray);
+  end;
+  'Tabl1': begin
+    CheckData(InitialOutput := |cInt|*20);
+    var sq := (1..10).SelectMany(x -> |x,x*x,x*x*x|);
+    CheckOutputSeq(sq);
+  end;
+  'Tabl2': begin
+    CheckData(Empty);
+    var sq := (1..10).SelectMany(x -> |object(x),object(sqrt(x))|); // приводим к object поскольку типы разные
+    CheckOutputSeq(sq);
+  end;
+  'Tabl4': begin
+    CheckData(Empty);
+    var sq := PartitionPoints(1.1,1.9,8).SelectMany(x -> |x,x*x|);
+    CheckOutputSeq(sq);
+  end;
+  'Sum1': begin
+    // Частичные решения не проработаны. Они крайне редки конечно
+    TaskResult := PartialSolution; // Решение состоит в последовательном решении нескольких родственных задач
+    FilterOnlyNumbers;
+    //CheckInitialOutputValues(55);
+    if (OutputList.Count = 1) and OutIsInt(0) then
+    begin
+      var a := OutInt(0);
+      if a=4905 then
+        ColoredMessage('Отлично! Теперь найдите сумму квадратов всех двузначных чисел', MsgColorGray)
+      else if a=328065 then
+        TaskResult := Solved;
+    end;
+  end;
+  'Sum1a': begin
+    FilterOnlyNumbers;
+    CheckData(Input := |cInt|*2);
+    var (a,b) := (Int(0),Int(1));
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var (a,b) := Random2(1..20);
+      if a>b then Swap(a,b);
+      InputList.AddTestData(|a,b|);
+    end;
+    CheckOutput((a..b).Sum);
+  end;
+  'Sum2': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput((11..99).Step(2).Sum);
+  end;
+  'Sum3': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput((1..9).Select(x->x*0.1+1.0).Sum);
+  end;
+  'Sum4': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput((1..9).Select(x->1/x).Sum);
+  end;
+  'Prod1': begin
+    TaskResult := PartialSolution;
+    FilterOnlyNumbers;
+    if CompareValuesWithOutput(3*3*3*3*3*3*3) then
+      ColoredMessage('Вычислите 4 в степени 6', MsgColorGray)
+    else if CompareValuesWithOutput(4*4*4*4*4*4) then
+      ColoredMessage('Вычислите 5 в степени 5', MsgColorGray)
+    else if CompareValuesWithOutput(5*5*5*5*5) then
+      TaskResult := Solved
+    else if not CompareValuesWithOutput(2*2*2*2*2) then
+      TaskResult := BadSolution
+  end;
+  'Prod2_Power': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(2**3,3**7,4**6,5**5);
+  end;
+  'Prod3_Fact': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(2*3*4*5*6*7,2*3*4*5*6*7*8,2*3*4*5*6*7*8*9*10);
+  end;
+  'Geom1': begin
+    FilterOnlyNumbers;
+    CheckData(InitialOutput := |cInt|*11);
+    var sq := ObjectList.New.AddGeom(15,1,3);
+    CheckOutputAfterInitialSeq(sq);
+  end;
+  'Geom2': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    var sq := ObjectList.New.AddGeom(11,1,10);
+    sq.Add(integer.MaxValue);
+    if OutputList.Count = 11 then
+      ColoredMessage('Выведите integer.MaxValue - самое большое целое типа integer',MsgColorMagenta);
+    CheckOutputSeqNew(sq);
+  end;
+  'Geom3': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    var sq := ObjectList.New.AddGeom(20,1.0,10.0);
+    sq.Add(real.MaxValue);
+    if OutputList.Count = 20 then
+      ColoredMessage('Выведите real.MaxValue - самое большое целое типа real',MsgColorMagenta);
+    CheckOutputSeqNew(sq);
+  end;
+  'Geom4': begin
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    var sq := ObjectList.New.AddGeom(8,1.0,0.999);
+    CheckOutputSeq(sq);
+  end;
+  'Loop_If_1': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(InitialInput := |cInt|*n);
+    GenerateTests(10,tInt(1,100)*n);
+    
+    var a := IntArr(n);
+    CheckOutputSeq(a.Where(x->x.IsEven));  
+  end;
+  'Loop_If_2': begin 
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var x := ArrRandomInteger(n,1,100);
+      x[0] := 1;
+      x[2] := -1;
+      x[3] := 9;
+      x[4] := 10;
+      x[5] := 99;
+      x[6] := 100;
+      InputList.AddTestData(x);
+    end;
+    var lst := new ObjectList;
+    for var i:=0 to n-1 do
+      if Int(i) in 10..99 then
+        lst.Add(Int(i));
+    CheckOutputSeq(lst);  
+  end;
+  'Loop_If_2a': begin 
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(20,tInt(1,100)*n);
+    var lst := new ObjectList;
+    for var i:=0 to n-1 do
+      if Int(i).Divs(3) and Int(i).NotDivs(5) then
+        lst.Add(Int(i));
+    CheckOutputSeq(lst);  
+  end;
+  'Loop_If_3': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    var lst := new ObjectList;
+    GenerateTests(10,tInt(1,100)*n); 
+    for var i:=1 to n do
+      if i.IsEven then
+        lst.Add(Int(i-1));
+    CheckOutputSeq(lst);  
+  end;
+  'Loop_If_4': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt(1,100)*n); 
+    var lst := new ObjectList;
+    for var i:=0 to n-1 do
+      if Int(i).IsEven then
+        lst.Add(i+1);
+    CheckOutputSeq(lst);  
+  end;
+  'Loop_If_5_Count': begin 
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt(1,100)*n); 
+    var c := 0;
+    for var i:=0 to n-1 do
+      if Int(i).IsEven then
+        c += 1;
+    CheckOutput(c);
+  end;  
+  'Loop_If_7_Count': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt(1,6)*n); 
+    var c := 0;
+    for var i:=0 to n-1 do
+      if Int(i) in 2..5 then
+        c += 1;
+    CheckOutput(c);
+  end;
+  'Loop_If_8_Count': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    var c := 0;
+    GenerateTests(10,tInt(1,10)*n); 
+    for var i:=0 to n-1 do
+      if Int(i) not in 2..5 then
+        c += 1;
+    CheckOutput(c);
+  end;
+  'Loop_If_9_Count': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt(1,100)*n); 
+    var c := 0;
+    for var i:=0 to n-1 do
+      if (Int(i) in 10..99) and Int(i).IsOdd then
+        c += 1;
+    CheckOutput(c);
+  end;
+  'Loop_If_1_Sum': begin 
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt(1,10)*n); 
+    var s := 0;
+    for var i:=0 to n-1 do
+      if Int(i)<5 then
+        s += Int(i);
+    CheckOutput(s);
+  end;
+  'Loop_If_2_Sum': begin 
+    FilterOnlyNumbersAndBools;
+    var N := Int(0);
+    CheckData(Input := |cInt|*(N+1));
+    GenerateTests(10,tInt(1,10)*n); 
+    var s := 0;
+    for var i:=1 to N do
+      if Int(i).IsEven then
+        s += Int(i);
+    CheckOutput(s);
+  end; 
+  'Зацикливание2': begin 
+    FilterOnlyNumbers;
+    CheckOutputSeq(1..9);
+    if TaskResult = Solved then
+      ColoredMessage('Не ставьте ; после do!');
+  end;
+  'Wh1': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialOutput := |cInt|*18); 
+    
+    CheckOutputSeq(Arr(1..9)*3);
+  end;
+  'Wh2': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(10,1,x->x+2));
+  end;
+  'Wh3': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(45,99,x->x-2));
+  end;
+  'Дюймы1': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(7,17.49,x->x-2.51));
+  end;
+  'Дюймы2': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(7);
+  end;
+  'Дюймы3': begin 
+    FilterOnlyNumbers;
+    CheckData(Input := cRe * 2);
+    GenerateTests(10,tRe(2,10,1)*2);
+    CheckOutput(Trunc(Re(0)/Re(1)));
+  end;
+  'Дюймы4': begin 
+    FilterOnlyNumbers;
+    CheckData(Input := cRe * 2);
+    CheckData(Input := cRe * 2);
+    CheckOutput(Re(0) - Trunc(Re(0)/Re(1)));
+  end;
+  'Sum1W': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialOutput := |cInt|);
+    CheckOutput(165,165);
+  end;
+  'Sum2W': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialOutput := |cInt|);
+    CheckOutput(385,385);
+  end;
+  'Sum3W': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(1035);
+  end;
+  'Умножение1': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(14,1,x->x*2));
+  end;
+  'Умножение2': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(11);
+  end;
+  'Деление1': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(6,26.5,x->x/2));
+  end;
+  'Деление2': begin 
+    FilterOnlyNumbers;
+    CheckInitialOutputSeq(Arr(cInt)*0);
+    CheckOutput(7);
+  end;
+  'Digits': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutput(4,3,5,2,6,1,7);
+  end;
+  'Bank_ForLeaders': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    CheckOutputSeq(ArrGen(9,109000.0,x->x*1.09));
+  end;
+  'Digits1': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(2,23,345,4567,56789,678901,7890123);
+    var c := Abs(Int(0));
+    var res := c.ToString.Select(cc->cc.ToDigit).Count;
+    CheckOutput(res);
+  end;
+  'Digits2': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(2,23,345,4567,56789,678901,7890123);
+    var c := Abs(Int(0));
+    var res := c.ToString.Select(cc->cc.ToDigit).Sum;
+    CheckOutput(res);
+  end;
+  'Digits3': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(2,23,345,4567,56789,678901,7890123);
+    var c := Abs(Int(0));
+    var res := c.ToString.Select(cc->cc.ToDigit).Count(x->x.IsEven);
+    CheckOutput(res);
+  end;
+  'Digits4': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(2,23,345,4567,56789,678901,7890123);
+    var c := Abs(Int(0));
+    var res := c.ToString.Select(cc->cc.ToDigit).Where(x->x.IsOdd).Sum;
+    CheckOutput(res);
+  end;
+  'Digits5': begin 
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(1,23,345,4567,56789,678901,7890123);
+    var c := Abs(Int(0));
+    var res := c.ToString.First.ToDigit;
+    CheckOutput(res);
+  end;
+  'BinNumSystem': begin
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(23,14,481);
+    var x := Int(0);
+    var L := new List<integer>;
+    while x<>0 do
+    begin
+      L.Add(x mod 2);
+      x := x div 2;
+    end;
+    CheckOutputSeq(L.ToArray);
+  end;
+  'BinNumSystem2': begin
+    FilterOnlyNumbers;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(23,14,255);
+    var x := Int(0);
+    var L := new List<integer>;
+    while x<>0 do
+    begin
+      L.Add(x mod 2);
+      x := x div 2;
+    end;
+    CheckOutput(L.Count(x->x=1));
+  end;
+  'Difficult_Power2': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(InitialInput := |cInt|);
+    GenerateTests(23,14,256,16);
+    var x := Int(0);
+    while x mod 2 = 0 do
+      x := x div 2;
+    CheckOutput(x = 1);
+  end;
+  'Min1': begin 
+    CheckData(InitialInput := |cRe|*2);
+    Generatetests(10,tRe(1,100)*2);
+    CheckOutput(Min(Re(0),Re(1)),Max(Re(0),Re(1)));
+  end;
+  'Min2': begin 
+    CheckData(InitialInput := |cRe|*2);
+    Generatetests(10,tRe(1,100)*2);
+    CheckOutput(Min(Re(0),Re(1)));
+  end;
+  'Min3': begin 
+    CheckData(InitialInput := |cRe|*3);
+    Generatetests(10,tRe(1,100)*2);
+    CheckOutput(Min(Re(0),Re(1),Re(2)));
+  end;
+  'SeriesMin2': begin 
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(10,tInt(1,100)*n);
+    CheckOutput(InputListAsIntegers.Max - InputListAsIntegers.Min)
+  end;
+  'Break1': begin 
+    var n := 10;
+    CheckData(Input := |cInt|*n);
+    GenerateTests(20,tInt(1,10)*n);
+    CheckOutput(3 in InputListAsIntegers);
+  end;
+  'Break2': begin 
+    TestCount := 3;
+    GenerateTestData := tnum -> begin
+      case tnum of
+        1: InputList.AddTestData(|1,2,8,4,5,6,7,1,2,9|);
+        2: InputList.AddTestData(|1,1,3|);
+        3: InputList.AddTestData(|7,6,4,3|);
+      end;  
+    end;
+    var n := 10;
+    var f := false;
+    for var i:=0 to n-1 do
+    begin
+      var x := Int(i);
+      if x = 3 then
+      begin
+        f := True;
+        break;
+      end;
+    end;
+    CheckOutput(f)
+  end;
+  'Break3': begin 
+    var n := 10;
+    TestCount := 3;
+    GenerateTestData := tnum -> begin
+      case tnum of
+        1: InputList.AddTestData(|1,2,3,4,5,6,7,1,2,3|);
+        2: InputList.AddTestData(|1,1,9|);
+        3: InputList.AddTestData(|7,6,8|);
+      end;  
+    end;
+    var f := 0;
+    for var i:=0 to n-1 do
+    begin
+      var x := Int(i);
+      if x >= 8 then
+      begin
+        f := x;
+        break;
+      end;
+    end;
+    CheckOutput(f)
+  end;
+  'Break4': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(123,1023,134,11110);
+    var x := Int(0);
+    var h := False;
+    while x<>0 do
+    begin
+      var c := x mod 10;
+      if c = 0 then
+      begin
+        h := True;
+        break
+      end;
+      x := x div 10;
+    end;
+    CheckOutput(h)
+  end;
+  'BreakIntheMiddle1': begin 
+    var i := 0;
+    var c := 0;
+    repeat
+      var x := Int(i);
+      i += 1;
+      if x = 0 then
+        break;
+      if x < 5 then
+        c += 1;
+    until False;
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var n := Random(7,12);
+      var a := ArrRandomInteger(n,1,10);
+      a[^1] := 0;
+      InputList.AddTestData(a);
+    end;
+    CheckOutput(c)
+  end;
+  'BreakIntheMiddle2': begin 
+    var i := 0;
+    var c := 0;
+    repeat
+      var x := Int(i);
+      i += 1;
+      if x = 0 then
+        break;
+      c += x;
+    until False;
+    TestCount := 10;
+    GenerateTestData := tnum -> begin
+      var n := Random(7,12);
+      var a := ArrRandomInteger(n,1,10);
+      a[^1] := 0;
+      InputList.AddTestData(a);
+    end;
+    CheckOutput(c)
+  end;
+  'Divisors': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(72,234,17,2);
+    var x := Int(0);
+    var L := new List<integer>;
+    for var i:=2 to x-1 do
+    if x mod i = 0 then
+      L.Add(i);
+    CheckOutputSeq(L);
+  end;
+  'SimpleNumbers': begin 
+    CheckData(Input := |cInt|);
+    GenerateTests(72,234,17,2);
+    var x := Int(0);
+    var L := new List<integer>;
+    for var i:=2 to x-1 do
+    if x mod i = 0 then
+      L.Add(i);
+    CheckOutput(L.Count = 0);
+  end;
+  'сс1': begin 
+    CheckOutputString((9*'*'+#13#10) * 5);
+  end;
+  'сс2': begin 
+    CheckOutputString(9*'1'+#13#10 + 9*'2'+#13#10 + 9*'3'+#13#10 + 9*'4'+#13#10 + 9*'5'+#13#10)
+  end;
+  'сс3': begin 
+    CheckOutputString(5*('123456789'+#13#10));
+  end;
+  'сс4': begin 
+    CheckOutputString('012345'+#13#10 + '123456'+#13#10 + '234567'+#13#10 + '345678'+#13#10  + '456789'+#13#10 );
+  end;
+  'сс5': begin 
+    CheckOutputString('12345'+#13#10 + '246810'+#13#10 + '3691215'+#13#10 + '48121620'+#13#10  + '510152025'+#13#10 );
+  end;
+  'сс6': begin 
+    CheckOutputString('  1  2  3  4  5'+#13#10 + '  2  4  6  8 10'+#13#10 + '  3  6  9 12 15'+#13#10 + '  4  8 12 16 20'+#13#10  + '  5 10 15 20 25'+#13#10 );
+  end;
+  'сс7': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 19 do
+    begin
+      for var j:=1 to 19 do
+        sb.Append($'{(i*j),4}');
+      sb.Append(#13#10);
+    end;
+    CheckOutputString(sb.ToString);
+  end;
+  'сс8': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to 5 do
+        sb.Append($'({i},{j}) ');
+      sb.Append(#13#10);
+    end;
+    CheckOutputString(sb.ToString);
+  end;
+  'ссi1': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to i do
+        sb.Append('*');
+      sb.Append(#13#10);
+    end;  
+    CheckOutputString(sb.ToString);
+  end;
+  'ссi2': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to 2*i do
+        sb.Append('*');
+      sb.Append(#13#10);
+    end;  
+    CheckOutputString(sb.ToString);
+  end;
+  'ссi3': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to 2*i-1 do
+        sb.Append('*');
+      sb.Append(#13#10);
+    end;  
+    CheckOutputString(sb.ToString);
+  end;
+  'ссi4': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to 6-i do
+        sb.Append('*');
+      sb.Append(#13#10);
+    end;  
+    CheckOutputString(sb.ToString);  
+  end;
+  'ссi5': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to i do
+        sb.Append(i);
+      sb.Append(#13#10);
+    end;  
+    CheckOutputString(sb.ToString);  
+  end;
+  'ссi6': begin 
+    var sb := new StringBuilder;
+    for var i:=1 to 5 do
+    begin
+      for var j:=1 to i do
+        sb.Append(j);
+      sb.Append(#13#10);
+    end;  
+    CheckOutputString(sb.ToString);  
+  end;
+  'Combinations': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Empty);
+    var lst := ObjectList.New;
+    for var c := 'a' to 'z' do
+    for var i := 0 to 9 do
+    begin  
+      lst.Add(c);
+      lst.Add(i);
+    end;
+    CheckOutputSeq(lst);
+  end;
+  'Primes': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Empty);
+    var lst := ObjectList.New;
+    for var n := 2 to 1000 do
+    begin  
+      var IsPrime := True;
+      for var i:=2 to Round(Sqrt(n)) do
+        if n mod i = 0 then
+        begin
+          IsPrime := False;
+          break;
+        end;
+      if IsPrime then
+        lst.Add(n);
+    end;  
+    CheckOutputSeq(lst);
+  end;
+  'Счастливые билеты': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Empty);
+    CheckOutputNew(55252);
+  end;
+  '1_ПрямоугольныеТреугольники': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    var lst := ObjectList.New;
+    for var a:=1 to 20 do
+    for var b:=1 to 20 do
+    for var c:=1 to 20 do
+      if (a*a + b*b = c*c) and (a<b) then
+        lst.AddRange(|a,b,c|);
+    CheckOutputSeq(lst);  
+  end;
+  '2_Перебор вариантов': begin 
+    CheckData(Empty);
+    CheckOutputSeq(Arr(4,6,12,3)); 
+  end;
+  'ДесятичныеЧисла': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    var lst := ObjectList.New;
+    for var d1:=1 to 9 do
+    for var d2:=0 to 9 do
+    for var d3:=0 to 9 do
+    begin
+      var a := d1*100 + d2*10 + d3;
+      if (d1 + d2 + d3).Divs(3) and (d1<d2) and (d2<d3) then
+        lst.Add(a);
+    end;
+    CheckOutputSeq(lst);
+  end;
+  'ДвоичныеЧисла': begin 
+    FilterOnlyNumbers;
+    CheckData(Empty);
+    var lst := ObjectList.New;
+    for var d1:=0 to 1 do
+    for var d2:=0 to 1 do
+    for var d3:=0 to 1 do
+    begin
+      var a := d1*4 + d2*2 + d3;
+      Lst.AddRange(|d1,d2,d3,a|);
+    end;
+    CheckOutputSeq(lst);
+  end;  
+  
+  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('LoopErr2','LoopErr3','Loop_Arithm1','Loop_Arithm2',
+  'For1','For1a','For1b','For1b_step','For1c','For1d','For1e','For1f',
+  'ForErr1','ForErr2','ForErr3','ForErr4','ForErr5','ForErr6','ForErr7',
+  'Tabl1','Tabl2','Tabl4','Sum1','Sum1a','Sum2','Sum3','Sum4','Prod1','Prod2_Power','Prod3_Fact',
+  'Geom1','Geom2','Geom3','Geom4',
+  'Loop_If_1','Loop_If_2','Loop_If_2a','Loop_If_3','Loop_If_4',
+  'Loop_If_5_Count','Loop_If_7_Count','Loop_If_8_Count','Loop_If_9_Count','Loop_If_1_Sum','Loop_If_2_Sum',
+  'Зацикливание2','Wh1','Wh2','Wh3','Дюймы1','Дюймы2','Дюймы3','Дюймы4','Sum1W','Sum2W','Sum3W',
+  'Умножение1','Умножение2','Деление1','Деление2','Digits','Bank_ForLeaders',
+  'Digits1','Digits2','Digits3','Digits4','Digits5',
+  'BinNumSystem','BinNumSystem2','Difficult_Power2',
+  'Min1','Min2','Min3','SeriesMin2',
+  'Break1','Break2','Break3','Break4','BreakIntheMiddle1','BreakIntheMiddle2',
+  'Divisors','SimpleNumbers',
+  'сс1','сс2','сс3','сс4','сс5','сс6','сс7','сс8',
+  'ссi1','ссi2','ссi3','ссi4','ссi5','ссi6',
+  'Combinations','Primes','1_ПрямоугольныеТреугольники','ДесятичныеЧисла','ДвоичныеЧисла' );
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/TasksArr.pas b/TestSuite/CompilationSamples/TasksArr.pas
new file mode 100644
index 000000000..5e56e6692
--- /dev/null
+++ b/TestSuite/CompilationSamples/TasksArr.pas
@@ -0,0 +1,754 @@
+unit TasksArr;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+
+procedure CheckTaskT(name: string);
+begin
+  FlattenOutput; // Во всех задачах на массивы
+  ClearOutputListFromSpaces; // Это чтобы a.Print работал. По идее, надо писать всегда. Яне знаю задач, где пробелы в ответе
+
+  case name of
+  'Arr1','Arr2': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(InitialOutput := |cInt|*5); 
+     CheckOutputSeq(|cInt|*10);
+     // Надо проверить, что Output[9] - целое ненулевое
+     if OutputList.Count<10 then // чтобы не получить исключение
+       exit;
+     if OutIsInt(9) then
+       if OutInt(9) = 0 then
+       begin
+         ColoredMessage('Массив надо заполнить ненулевыми значениями');
+         TaskResult := BadSolution;
+       end;
+  end;
+  'Arr3','Arr4': begin
+    FilterOnlyNumbersAndBools;
+    TaskResult := PartialSolution; // То есть, уже начали проверять, уже под контролем
+    CheckData(|cInt|*5, |cInt|*5, |cInt|*10);
+    if TaskResult <> PartialSolution then 
+      exit;
+    
+    CheckOutputSeq(InputList);
+  end;
+  'Arr5','Arr6': begin 
+    // Проверка того что введено и выведено 10 значений, что ввод совпадает с выводом и что вывод в диапазоне от 2 до 5
+    // Что плохо - все Check неявно меняют TaskResult, а здесь надо еще и явно
+    FilterOnlyNumbersAndBools;
+    var n := 10;
+    CheckData(|cInt|*n, |cInt|*n);
+
+    TaskResult := PartialSolution; // потому что если просто запустить - будет InitialSolution
+    
+    CheckOutputSeq(InputList);
+    // Дополнительная проверка  
+    if TaskResult = Solved then
+    begin
+      // проверим на диапазон от 2 до 5
+      var a := IntArr(n);
+      if a.Any(x->x not in 2..5) then
+      begin  
+        TaskResult := BadSolution;
+        ColoredMessage('Результирующие данные должны быть от 2 до 5',MsgColorGray);        
+        exit;
+      end;  
+    end;
+  end;
+  'Arr_Sum0': begin 
+     // Это паттерн: вводится n, а потом вводится n элементов массива
+     FilterOnlyNumbersAndBools;
+     var n := Int;
+     CheckInput(|cInt| + n*|cInt|);
+     var a := IntArr(n);
+     CheckOutput(a.Sum)
+  end;
+  'Arr_Sum1','Arr_Sum2': begin 
+     FilterOnlyNumbersAndBools;
+     // Это всё надо. Начальный ввод - 10 целых, весь ввод - тоже
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*(n+1), |cInt|*n);
+     
+     var a := IntArr(n);
+     var p := integer(a.Product);
+     CheckOutputAfterInitial(p)
+  end;
+  'Arr_Sum3': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*(n+1), |cInt|*n);
+          
+     var a := IntArr(n);
+     CheckOutputAfterInitial(a.Product)
+  end;
+  'Arr_Sum4': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     
+     var a := IntArr(n);
+     var ave := a.Average;
+     CheckOutputAfterInitialSeq(|ave|*2)
+  end;
+  'Arr_CountA1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     var a := IntArr(n);
+     CheckOutputAfterInitial(a.CountOf(3));
+  end;
+  'Arr_CountA2': begin 
+     ClearOutputListFromSpaces; // Кроме чисел тут строки
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     
+     var lst := ObjectList.New;
+     var a := IntArr(n);
+     var cnt4 := a.CountOf(4);
+     var cnt5 := a.CountOf(5);
+     
+     case cnt4.CompareTo(cnt5) of
+    1: lst.Add('четвёрок больше');
+    0: lst.Add('одинаково');
+    -1: lst.Add('пятёрок больше');
+     end;
+     CheckOutputAfterInitialSeq(lst);
+  end;
+  'Arr_Replace1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     
+     var arr := IntArr(n);
+     arr.Replace(2,3);
+     CheckOutputAfterInitialSeq(arr);
+  end;
+  'Arr_Replace2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+
+     var arr := IntArr(n);
+     arr.Replace(2,22);
+     arr.Replace(5,55);
+     arr.Replace(22,5);
+     arr.Replace(55,2);
+     CheckOutputAfterInitialSeq(arr);
+  end;
+  'Arr_Find1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 5;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+
+     var a := IntArr(n);
+     var has2 := 2 in a;
+     CheckOutputAfterInitial(has2);
+  end;
+  'Arr_Find2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 5;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     TestCount := 10;
+     GenerateTestData := tnum -> begin
+       var a := ArrRandomInteger(n,2,5);
+       if tnum = 2 then
+         a := ArrFill(n,1);
+       InputList.AddTestData(a);
+     end;
+     
+     var a := IntArr(n);
+     var haseven := a.FindIndex(x -> x.IsEven) <> -1;
+     CheckOutputAfterInitial(haseven);
+  end;
+  'Arr_Find3': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 5;
+     CheckData(|cInt|*n, |cInt|*n, |cInt|*n);
+     TestCount := 10;
+     GenerateTestData := tnum -> begin
+       var a := ArrRandomInteger(n,1,99);
+       if tnum = 2 then
+         a := ArrRandomInteger(n,1,30)
+       else if tnum = 3 then
+         a := ArrRandomInteger(n,51,99);
+       InputList.AddTestData(a);
+     end;
+     
+     var a := IntArr(n);
+     var haseven := a.ToArray.FindIndex(x -> x in 40..50) <> -1;
+     CheckOutputAfterInitial(haseven);
+  end;
+
+  'Arr_Find4': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 3;
+     CheckData(|cInt|*n, |cInt|*n);
+     TestCount := 10;
+     GenerateTestData := tnum -> begin
+       var a := ArrRandomInteger(n,2,5);
+       if tnum = 2 then
+         a := ArrFill(n,11);
+       InputList.AddTestData(a);
+     end;
+     
+     var a := IntArr(n);
+     var allodd := a.All(x -> x.IsOdd);
+     CheckOutputAfterInitial(allodd);
+  end;
+  'Arr_Index1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     TestCount := 10;
+     GenerateTestData := tnum -> begin
+       var a := ArrRandomInteger(n,2,5);
+       if tnum = 2 then
+         a := ArrFill(n,5);
+       InputList.AddTestData(a);
+     end;
+     
+     var a := IntArr(n);
+     var ind := a.FindIndex(x -> x = 2);
+     CheckOutputAfterInitial(ind);
+  end;
+  'Arr_Index2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     TestCount := 10;
+     GenerateTestData := tnum -> begin
+       var a := ArrRandomInteger(n,2,5);
+       if tnum = 2 then
+         a := ArrFill(n,4);
+       InputList.AddTestData(a);
+     end;
+     
+     var a := IntArr(n);
+     var ind := a.FindLastIndex(x -> x = 5);
+     CheckOutputAfterInitial(ind);
+  end;
+  'Arr_Index2a': begin
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     var a := IntArr(n);
+     var ind2 := a.IndexOf(2);
+     var ind5 := a.IndexOf(5);
+     CheckOutputAfterInitialSeq(|ind2,ind5|);
+  end;
+  'Arr_Index3': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 20;
+     CheckData(|cInt|*n, |cInt|*n);
+     TestCount := 10;
+     GenerateTestData := tnum -> begin
+       var a := ArrRandomInteger(n,2,5);
+       a[^2] := 2;
+       a[^1] := 5;
+       InputList.AddTestData(a);
+     end;
+
+     var arr := IntArr(n);
+     var ind2 := arr.IndexOf(2);
+     var ind5 := arr.IndexOf(5);
+     Swap(arr[ind2],arr[ind5]);
+     CheckOutputAfterInitialSeq(arr);
+  end;
+  'Arr_Index4': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 30;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     var arr := IntArr(n);
+     var ind := arr.IndexOf(2);
+     ind := arr.IndexOf(2,ind + 1);
+     CheckOutputAfterInitial(ind);
+  end;
+
+  'Arr_MinMax1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(InitialOutput := |cInt|*n);
+
+     var a := OutSliceIntArr(0,n-1);
+     var min := a.Min;
+     CheckOutputAfterInitial(min);
+  end;
+  'Arr_MinMax2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     
+     var a := IntArr(n);
+     var max := a.Max;
+     CheckOutputAfterInitial(max);
+  end;
+  'Arr_MinMax3': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitial(a.Min);
+  end;
+  'Arr_MinMax4': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10,tInt * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(|a.Min,a.Max|);
+  end;
+  
+  'Arr_Neighbors1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 20;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt*n);
+     
+     var a := IntArr(n);
+     var cnt := 0;
+     for var i := 0 to n-2 do
+       if (a[i] = 2) and (a[i+1] = 5) then 
+         cnt += 1;
+     CheckOutputAfterInitial(cnt);
+  end;
+  'Arr_MinMaxInd1': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(10);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitial(a.IndexMax,a.IndexMax);
+  end;
+  'Arr_MinMaxInd2': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(10);
+     
+     var a := IntArr(n);
+     var acopy := Copy(a);
+     var indmax := a.IndexMax;
+     var indmin := a.IndexMin;
+     Swap(a[indmax],a[indmin]);
+     CheckOutputSeq(acopy + a);  
+  end;
+
+  'Arr_Fill1': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := nil);
+    
+    CheckOutputSeq(ArrFill(10,1));
+  end;
+  'Arr_Fill2': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := nil);
+    
+    CheckOutputSeq(ArrFill(10,1));
+  end;
+  'Заполнение1','ЗаполнениеЛямбда1': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutputSeq(ArrGen(10,i->i*i));
+  end;
+  'Заполнение2','ЗаполнениеЛямбда2': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutputSeq(ArrGen(10,1,i->i+2));
+  end;
+  'ЗаполнениеПоПред1','ЗаполнениеПоПред2': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutputSeq(ArrGen(10,5,i->i+5));
+  end;
+  'ЗаполнениеГеом1','ЗаполнениеГеом2': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutputSeq(ArrGen(10,1,i->i*2));
+  end;
+  'ЗаполнениеСумма1': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutput(ArrGen(10,5,i->i+5).Sum);
+  end;
+  'ЗаполнениеСумма2': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutput(ArrGen(10,1,i->i*2).Sum);
+  end;
+  
+  // 'Arr_Transf1' 'Arr_Transf1a' 'Arr_Transf2' 'Arr_Transf3' 'Arr_Transf4' 'Arr_Transf5' 'Arr_Transf7' 'Arr_Transf8' 'Arr_Transf9'- задачник
+  'Arr_Transf6': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     foreach var i in a.Indices do
+       if i.IsOdd then
+         a[i] := 0;
+     CheckOutputAfterInitialSeq(a);  
+  end;
+
+  'Arr_Reverse1','Arr_Reverse2': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(a.Reverse);
+  end;
+  'Arr_Reverse3': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     for var i:= 0 to n div 2 - 1 do
+       Swap(a[i],a[i + n div 2]);
+     CheckOutputAfterInitialSeq(a);
+  end;
+
+  'Arr_Reverse3a': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+
+     var out := IntArr(n);
+     var out0 := Copy(out);
+     Reverse(out, 0, 5);
+     Reverse(out, 5, 5);
+     CheckOutputSeq(out0 + out);
+  end;
+
+  'Arr_Count1','Arr_Count2': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+
+     var a := IntArr(n);
+     CheckOutputAfterInitial(a.Count(x -> x.IsEven));
+  end;
+  'Arr_Count3': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitial(a.CountOf(3),a.CountOf(4),a.CountOf(5));
+  end;
+  'Arr_Count4': begin 
+     var n := 30;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(|a.CountOf(a.Min),a.CountOf(a.Max)|);
+  end;
+
+  'Arr_FindIndex1': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(|a.FindIndex(x-> x.IsOdd),a.FindLastIndex(x-> x.IsOdd)|);
+  end;
+  'Arr_FindIndex2': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt * n);
+     
+     var a := IntArr(n);
+     var i1 := a.FindIndex(x -> x.IsEven);
+     var i2 := a.FindLastIndex(x -> x.IsOdd);
+     Swap(a[i1],a[i2]);
+     CheckOutputAfterInitialSeq(a);
+  end;
+
+  'Arr_Filter1': begin 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateTests(10, tInt(1,100) * n);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(a.Where(x->x<50));
+  end;
+  'Arr_GenFilter1': begin 
+     CheckData(Input := Empty); 
+     var a := ArrGen(50,1,x->x+2);
+     CheckOutputSeq(a.Where(x->x mod 7 = 0));
+  end;
+  'Arr_GenFilter2': begin 
+     var n := 40;
+     CheckData(InitialOutput := |cInt|*n);
+     var a := ArrGen(40,1,1,(x,y)->x+y);
+     CheckOutputAfterInitialSeq(a.Where(x->x mod 5 = 0));
+  end;
+
+  'Arr_Op1': begin 
+    CheckData(Empty);
+    var a := |1,2,3|*5;
+    var b := |0| * 6 + |1| * 6;
+    var c := |1,2,3|*3 + |4,5,6|*3;
+    var d := |1| * 5 + |2| * 5 + |1| * 5 + |2| * 5;
+    CheckOutputSeq(a+b+c+d);
+  end;
+
+  'Arr_Slice1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(InitialOutput := |cInt| * n);
+     var a := Arr(0..9);
+     CheckOutputSeq(a + a[2:6] + a[:4] + a[2:]);
+  end;
+  'Arr_Slice2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(InitialOutput := |cInt| * n);
+     var a := Arr(0..9);
+     CheckOutputSeq(a + a[:2] + a[5:] + a[1:^1]);
+  end;
+  'Arr_Slice3': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(InitialOutput := |cInt| * n + |cInt| * 2);
+     var a := Arr(0..9);
+     CheckOutputSeq(a + |9| + |8| + |7| + a[^2:] + a[1:^1])
+  end;
+  'Arr_Slice7': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     CheckData(InitialOutput := |cInt| * n);
+     var a := Arr(0..9);
+     CheckOutputSeq(a + a[4::-1] + a[9::-2])
+  end;
+  'Arr_Slice10': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := Empty); 
+    var a := |6,2,4,3,6,1,7,8,2,4|;
+    CheckOutput(a[:5].Sum);
+  end;
+  'Arr_Slice11': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := Empty); 
+    var a := |6,2,4,3,6,1,7,8,2,4|;
+    CheckOutput(a[5:].Min);
+  end;
+  'Arr_Slice12': begin 
+    FilterOnlyNumbersAndBools;
+    CheckData(Input := Empty); 
+    var a := |6,2,4,3,6,1,7,8,2,4|;
+    CheckOutput(a[::2].Average);
+  end;
+
+  'Arr_InsDel1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     var a := Arr(0..9);
+     CheckData(InitialOutput := |cInt| * n);
+     CheckOutputSeq(a + a[:5] + a[6:]);
+  end;
+  'Arr_InsDel2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     var a := Arr(0..9);
+     CheckData(InitialOutput := |cInt| * n);
+     CheckOutputSeq(a + a[:5] + |333| + a[5:]);
+  end;
+  'Arr_InsDel3': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     var a := Arr(0..9);
+     CheckData(InitialOutput := |cInt| * n);
+     CheckOutputSeq(a + a[:1] + |555| + a[1:^1] + |555| + a[^1:]);
+  end;
+
+  'Arr_Shift1': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     var a := Arr(0..9);
+     CheckData(InitialOutput := |cInt| * n);
+     CheckOutputSeq(a + a[1:] + |0|);
+  end;
+  'Arr_Shift2': begin 
+     FilterOnlyNumbersAndBools;
+     var n := 10;
+     var a := Arr(0..9);
+     CheckData(InitialOutput := |cInt| * n);
+     CheckOutputSeq(a + |0| + a[:^1]);
+  end;
+
+  'List1': begin 
+     ClearOutputListFromSpaces; 
+     CheckData(InitialOutput := |cInt|);
+     CheckOutput('Иванов','Петров','Сидоров');
+  end;
+  'List2': begin 
+     FilterOnlyNumbersAndBools; 
+     CheckData(Input := Empty);
+     CheckOutput(11,2,13,4,15);
+  end;
+  'List3': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutput(1,3,5,7);
+  end;
+  'List4': begin 
+     FilterOnlyNumbersAndBools; 
+     CheckData(Input := Empty);
+     CheckOutputSeq((1..7).Select(x->x*x));
+  end;
+  'List5': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(10);
+     
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(a.Where(x->x.IsEven));
+  end;
+  'List6': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(10);
+
+     var a := IntArr(n);
+     CheckOutputAfterInitialSeq(a.Where(x->x.IsEven)+a.Where(x->x.IsOdd));
+  end;
+  'List6a': begin 
+     FilterOnlyNumbersAndBools; 
+     CheckData(InitialInput := |cInt|*3);
+     GenerateAutoTests(10);
+     
+     var a := IntArr(3);
+     CheckOutputSeq(|1,3,5|+a);
+  end;
+  'List6b': begin 
+     FilterOnlyNumbersAndBools;
+     CheckData(Input := Empty);
+     CheckOutputSeq(|1,3,5,2,4,6,9,8,7|);
+  end;
+  'List7': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 20;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(5);
+     var a := IntArr(10);
+     var b := IntArr(10);
+     CheckOutputAfterInitialSeq(a.Interleave(b));
+  end;
+  'List8': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(InitialOutput := |cInt|*n); 
+     var a := OutSliceIntArr(0,n-1);
+     var b := a.ToList;
+     b.Insert(2,555);
+     CheckOutputSeq(a+b);
+  end;
+  'List9': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(InitialOutput := |cInt|*n); 
+     var a := OutSliceIntArr(0,n-1);
+     var b := a.ToList;
+     if b.Count>0 then
+       b.RemoveAt(2);
+     CheckOutputSeq(a+b);
+  end;
+  'List9a': begin 
+     FilterOnlyNumbersAndBools; 
+     CheckData(Input := Empty);
+     CheckOutputSeq((1..10));
+  end;
+  'List9b': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(InitialInput := |cInt|*n);
+     var a := IntArr(n);
+     CheckOutputSeq(a);
+  end;
+  
+  'Sort1': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(5);
+     var a := IntArr(n);
+     CheckOutputSeq(a+a.Sorted);
+  end;
+  'Sort2': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(|cInt|*n, |cInt|*n);
+     GenerateAutoTests(5);
+     var a := IntArr(n);
+     CheckOutputSeq(a+a.SortedDescending);
+  end;
+  'Sort3': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 9;
+     CheckData(InitialOutput := |cInt|*n);
+     
+     var a := OutSliceIntArr(0,n-1);
+     CheckOutputSeq(a + a.Sorted);
+  end;
+  'BubbleSort': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 10;
+     CheckData(InitialOutput := |cInt|*n);
+     
+     var a := OutSliceIntArr(0,n-1);
+     var b := Copy(a);
+     for var j:=n-1 downto 1 do
+       if b[j-1] > b[j] then
+         Swap(b[j-1], b[j]);
+     CheckOutputSeq(a + b);
+  end;
+  'BubbleSort2': begin 
+     FilterOnlyNumbersAndBools; 
+     var n := 9;
+     CheckData(InitialOutput := |cInt|*n);
+     
+     var a := OutSliceIntArr(0,n-1);
+     CheckOutputSeq(a+a.Sorted);
+  end;
+  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('Arr1','Arr2','Arr3','Arr4','Arr5','Arr6',
+  'Arr_Sum0','Arr_Sum1','Arr_Sum2','Arr_Sum3','Arr_Sum4','Arr_CountA1','Arr_CountA2',
+  'Arr_Replace1','Arr_Replace2','Arr_Find1','Arr_Find2','Arr_Find3','Arr_Find4',
+  'Arr_Index1','Arr_Index2','Arr_Index2a','Arr_Index3','Arr_Index4',
+  'Arr_MinMax1','Arr_MinMax2','Arr_MinMax3','Arr_MinMax4','Arr_Neighbors1','Arr_MinMaxInd1','Arr_MinMaxInd2',
+  'Arr_Fill1','Arr_Fill2','Заполнение1','ЗаполнениеЛямбда1','Заполнение2','ЗаполнениеЛямбда2',
+  'ЗаполнениеПоПред1','ЗаполнениеПоПред2','ЗаполнениеГеом1','ЗаполнениеГеом2','ЗаполнениеСумма1','ЗаполнениеСумма2',
+  'Arr_Transf1','Arr_Transf1a','Arr_Transf2','Arr_Transf3','Arr_Transf4','Arr_Transf5','Arr_Transf7',
+  'Arr_Transf8','Arr_Transf9','Arr_Transf6',
+  'Arr_Reverse1','Arr_Reverse2','Arr_Reverse3','Arr_Reverse3a',
+  'Arr_Count1','Arr_Count2','Arr_Count3','Arr_Count4',
+  'Arr_FindIndex1','Arr_FindIndex2',
+  'Arr_Filter1','Arr_GenFilter1','Arr_GenFilter2',
+  'Arr_Op1',
+  'Arr_Slice1','Arr_Slice2','Arr_Slice3','Arr_Slice7','Arr_Slice10','Arr_Slice11','Arr_Slice12',
+  'Arr_InsDel1','Arr_InsDel2','Arr_InsDel3',
+  'Arr_Shift1','Arr_Shift2',
+  'List1','List2','List3','List4','List5','List6','List6a','List6b','List7','List8','List9','List9a','List9b',
+  'Sort1','Sort2','Sort3',
+  'BubbleSort','BubbleSort2');
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/TasksMatr.pas b/TestSuite/CompilationSamples/TasksMatr.pas
new file mode 100644
index 000000000..303d4ce8f
--- /dev/null
+++ b/TestSuite/CompilationSamples/TasksMatr.pas
@@ -0,0 +1,105 @@
+unit TasksMatr;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+
+procedure CheckTaskT(name: string);
+begin
+  FlattenOutput; // Во всех задачах на массивы
+  ClearOutputListFromSpaces; // Это чтобы a.Print работал. По идее, надо писать всегда. Яне знаю задач, где пробелы в ответе
+
+  case name of
+  'ДвумерныеМассивы1': begin 
+    ConvertStringsToNumbersInOutputList;
+    //FilterOnlyNumbersAndBools; 
+    CheckOutputSeq(|5,4,5,5,2,4,3,3,5,3,5,4|);
+  end;
+  'ДвумерныеМассивы2': begin 
+    // Преобразовать в 6 целых по строкам
+    ConvertStringsToNumbersInOutputList;
+    CheckOutputSeq(|5,4,5,5,2,4,3,3,5,3,5,4|);
+  end;
+  'ДвумерныеМассивы3': begin 
+    ConvertStringsToNumbersInOutputList;
+    CheckData(Input := |cInt|*12);
+    CheckOutputSeq(InputList);
+  end;
+  'Заполн1_Формула','Заполн2_Matr': begin 
+    ConvertStringsToNumbersInOutputList;
+    CheckData(Input := Empty);
+    
+    var ob := new ObjectList;
+    for var i:=0 to 8 do
+    for var j:=0 to 8 do
+      ob.Add((i+1)*(j+1));
+    CheckOutputSeq(ob);
+  end;
+  'Заполн3_Шахм': begin 
+    ConvertStringsToNumbersInOutputList;
+    CheckData(Input := Empty);
+    
+    var ob := new ObjectList;
+    for var i:=0 to 8 do
+    for var j:=0 to 8 do
+      if (i + j).IsEven then
+        ob.Add(1)
+      else ob.Add(0);
+    CheckOutputSeq(ob);
+  end;
+  'SumInMatr': begin 
+    ConvertStringsToNumbersInOutputList;
+    var n := 12;
+    CheckData(InitialInput := |cInt|*n, InitialOutput := |cInt|*n);
+    var res := IntArr(n).Sum;
+    CheckOutputAfterInitial(res);
+  end;
+  'MaxInMatr': begin 
+    ConvertStringsToNumbersInOutputList;
+    var n := 12;
+    CheckData(|cInt|*n, |cInt|*n);
+    var res := IntArr(n).Max;
+    CheckOutputAfterInitial(res);
+  end;
+  'СтрокаСтолбец1','СтрокаСтолбец3': begin 
+    ConvertStringsToNumbersInOutputList;
+    var n := 54;
+    CheckData(|cInt|*n, |cInt|*n);
+
+    var m := MatrByRow(6,9,IntArr(n));
+    CheckOutputAfterInitialSeq(m.Row(2)); 
+  end;
+  'СтрокаСтолбец2','СтрокаСтолбец4': begin 
+    ConvertStringsToNumbersInOutputList;
+    var n := 54;
+    CheckData(|cInt|*n, |cInt|*n);
+
+    var m := MatrByRow(6,9,IntArr(n));
+    CheckOutputAfterInitialSeq(m.Col(8)); 
+  end;
+  'MaxInRow': begin 
+    ConvertStringsToNumbersInOutputList;
+    var n := 54;
+    CheckData(|cInt|*n, |cInt|*n);
+
+    var m := MatrByRow(6,9,IntArr(n));
+    CheckOutputAfterInitial(m.Row(0).Max,m.Row(5).Min,m.Col(4).Average);    
+  end;
+  'CountInRowsCols': begin 
+    ConvertStringsToNumbersInOutputList;
+    var n := 54;
+    CheckData(|cInt|*n, |cInt|*n);
+    GenerateTests(10, tInt(1,5) * n);
+    
+    var m := MatrByRow(6,9,IntArr(n));
+    CheckOutputAfterInitial(m.Row(1).CountOf(2), m.Col(2).Count(x->x.IsOdd));
+  end;  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('ДвумерныеМассивы1','ДвумерныеМассивы2','ДвумерныеМассивы3',
+  'Заполн1_Формула','Заполн2_Matr','Заполн3_Шахм','SumInMatr','MaxInMatr',
+  'СтрокаСтолбец1','СтрокаСтолбец3','СтрокаСтолбец2','СтрокаСтолбец4','MaxInRow','CountInRowsCols' );
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/TasksStr.pas b/TestSuite/CompilationSamples/TasksStr.pas
new file mode 100644
index 000000000..2492a3f13
--- /dev/null
+++ b/TestSuite/CompilationSamples/TasksStr.pas
@@ -0,0 +1,356 @@
+unit TasksStr;
+
+uses LightPT;
+
+var AllTaskNames: array of string;
+
+procedure CheckTaskT(name: string);
+begin
+  FlattenOutput; 
+  ClearOutputListFromSpaces; 
+
+  case name of
+  'Char1': begin 
+    CheckData(Input := Empty);
+    var a := Arr(word(48), word(100), word(68), word(1102), word(8594));
+    CheckOutputSeq(a);
+  end;
+  'Char2': begin 
+    CheckData(Input := Empty);
+    var a := Arr(Chr(169), Chr(931), Chr(960), Chr(1105), Chr(8551), Chr(8734), Chr(8776), Chr(8986), Chr(9327), Chr(9775), Chr(9917), Chr(10054));
+    CheckOutputSeq(a);
+  end;
+  'CharTable': begin 
+    CheckData(Input := Empty);
+    var obj := new ObjectList;
+    for var i:=32 to 1200 do
+    begin  
+      Obj.Add(i); obj.Add(Chr(i));
+    end;  
+    CheckOutputSeq(obj);
+  end;
+  'CharPredSucc': begin 
+    CheckData(Input := |cChar|);
+    GenerateTests('b','c','2','y');
+    var c := LightPT.Chr(0);
+    CheckOutput(Pred(c),Succ(c));
+  end;
+  'CharIs': begin 
+    CheckData(Input := |cChar|);
+    GenerateTests('b','X','2','ю');
+    var c := LightPT.Chr(0);
+    CheckOutputSeq(Arr(c.IsLetter, c.IsDigit, c.IsLower, c.IsUpper));
+  end;
+  'CharRange1': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('0'..'9')+Arr('a'..'z')+Arr('а'..'я'));
+  end;
+  'CharRange2': begin 
+    CheckData(Input := |cChar|);
+    GenerateTests('a','V','z','Ю','д','1');
+    var c := LightPT.Chr(0);
+    CheckOutput(c in 'a'..'z');
+  end;
+  'CharRange3': begin 
+    CheckData(Input := |cChar|);
+    GenerateTests('a','V','ю','A','1','Z');
+    var c := LightPT.Chr(0);
+    CheckOutput(c in 'A'..'Z');
+  end;
+  'CharRange4': begin 
+    CheckData(Input := |cChar|);
+    GenerateTests('a','V','z','A','1','Ю');
+    var c := LightPT.Chr(0);
+    CheckOutput(c.ToLower in 'a'..'z');
+  end;
+  'CharTransform': begin 
+    CheckData(Input := |cChar|);
+    var c := LightPT.Chr(0);
+    GenerateTests('a','V','z','A','1','Ю');
+    if c.IsLower then
+      c := c.ToUpper
+    else if c.IsUpper then
+      c := c.ToLower;
+    CheckOutput(c);
+  end;
+  'Strings1': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq('трос'.ToCharArray);
+  end;
+  'Strings2': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq('сорт'.ToCharArray);
+  end;
+  'Strings2a': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('грозы','осы','ложки','кошки'));
+  end;
+  'Strings3': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('миг', 'мир', 'пир', 'пар'));
+  end;
+  'Strings4': begin 
+    CheckData(Input := Empty);
+    var hs := HSet('кошка','мышка','комик','комок','ножка','ножик','коржик','камыш');
+    var hs1 := OutputListAsStrings.ToHashSet;
+    if (hs*hs1).Count >= 5 then
+      TaskResult := Solved
+    else begin
+      TaskResult := PartialSolution;
+      ColoredMessage($'Выведите еще по крайней мере {5-(hs*hs1).Count} правильных слов',MessageColorT.MsgColorGray)
+    end;
+  end;
+  'Strings5': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('********************', '010101010101010101010101010101'));
+  end;
+  'Strings6': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('кросс', 'атолл', 'Гримм', 'быстрее'));
+  end;
+  'String13': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(9);
+  end;
+  'String15': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cStr|);
+    var s := Str(0);
+    CheckOutput(s.Count(c -> c.IsLetter and c.IsLower));
+  end;
+  'String16': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cStr|);
+    GenerateTests('HeLLo','привет','ИНФОРМАТИКА');
+    var s := Str(0);
+    CheckOutput(s.ToLower);
+  end;
+  'StrCode': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('рсйгжу', 'сткдзф', 'тулеих'));
+  end;
+  'StrDeCode': begin 
+    CheckData(Input := Empty);
+    CheckOutput('мы великие взломщики шифров');
+  end;
+  'StrCountAlg': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr(3,5,2));
+  end;
+  'StrGenerate1': begin 
+    CheckData(Input := Empty);
+    CheckOutput('abcdefghijklmnopqrstuvwxyz');
+  end;
+  'StrGenerate2': begin 
+    CheckData(Input := Empty);
+    CheckOutput('каждый охотник желает знать где сидит фазан');
+  end;
+  'StrCount': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(14,15);
+  end;
+  'StrCountOf': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(3,5,2);
+  end;
+  'StrCreate1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput('abcdefghijklmnopqrstuvwxyz');
+  end;
+  'StrCreate2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput('каждый охотник желает знать где сидит фазан');
+  end;
+  'StrWhere1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('каждый охотник желает знать где сидит фазан','буря мглою небо кроет вихри снежные крутя'));
+  end;
+  'StrWhere2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('1223113221113','12112571191460'));
+  end;
+  'StrSelect1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('вфсѐ!ндмпя!ожвп!лспжу!гйцсй!тожзоьж!лсфуѐ'));
+  end;
+  'StrSelect2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    var a := Arr(1082,1072,1078,1076,1099,1081,32,1086,1093,1086,1090,1085,1080,1082,32,1078,1077,1083,1072,1077,1090,32,1079,1085,1072,1090,1100,32,1075,1076,1077,32,1089,1080,1076,1080,1090,32,1092,1072,1079,1072,1085 );
+    var a1 := a.Select(x->word(x));
+    CheckOutputSeq(a1);
+  end;
+  'StrMinMax': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('а','ё'));
+  end;
+  'StrWhereSelect': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(23);
+  end;
+  'StrAllAny1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(True,False);
+  end;
+  'StrAllAny2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(True,False);
+  end;
+  'StrEachCount1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    var res := 'The grass is always greener on the other side of the fence'.EachCount;
+    var ob := new ObjectList;
+    foreach var x in res.ToArray do
+      ob.Add(x);
+    CheckOutputSeq(ob);
+  end;
+  'StrEachCount2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    var res := 'L1o24st tim437364e is nev567e9r fo089874u89nd041342 ag8432ai6897'.EachCount;
+    var ob := new ObjectList;
+    foreach var x in res.ToArray do
+      if x.Key.IsDigit then
+        ob.Add(x);
+    CheckOutputSeq(ob);
+  end;
+  'StrOrder1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(' adefgilmnorstuv');
+  end;
+  'StrOrder2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput('0','1','3','5','8');
+  end;
+  'ToWords1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput('головой жак звонарь как однажды сломал фонарь');
+  end;
+  'ToWords2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput('как жак сломал фонарь однажды звонарь головой');
+  end;
+  'ToWordsWhere1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput('косой кривоногий косой косой косой косой');
+  end;
+  'Pos1': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr(2,9));
+  end;
+  'Pos2': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr(7));
+  end;
+  'Delete1': begin 
+    CheckData(Input := Empty);
+    CheckOutput('информатика');
+  end;
+  'Delete2': begin
+    CheckData(Input := Empty); 
+    CheckOutput('программирование');
+  end;
+  'Delete3': begin 
+    CheckData(Input := Empty);
+    CheckOutput('алгоритм');
+  end;
+  'Insert1': begin 
+    CheckData(Input := Empty);
+    CheckOutput('Петр Первый был первым русским императором');
+  end;
+  'Insert2': begin 
+    CheckData(Input := Empty);
+    CheckOutput('Петр первый был великим русским императором');
+  end;
+  'StrChange1': begin 
+    CheckData(Input := Empty);
+    CheckOutput('красный коричневый желтый зеленый бирюзовый синий фиолетовый');
+  end;
+  'StrChange2': begin 
+    CheckData(Input := Empty);
+    CheckOutput('Алекс у Мелиссы украл кораллы, а Мелисса у Алекса украла кларнет');
+  end;
+  'StrBorder0': begin 
+    CheckData(Input := Empty);
+    CheckOutput('наклонный <b>жирный</b> подчеркнутый <b>жирный</b> <b>жирный</b> подчеркнутый');
+  end;
+  'StrBorder1': begin 
+    CheckData(Input := Empty);
+    CheckOutput('наклонный <b>жирный</b> подчеркнутый жирный жирный подчеркнутый');
+  end;
+  'StrSlice1': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('Pascal','ABC','NET'));
+  end;
+  'StrSlice2': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('клад зарыт на юго западе', 'клад зарыт на юго западе'));
+  end;
+  'StrSlice4': begin 
+    CheckData(Input := Empty);
+    CheckOutputSeq(Arr('mydocument', 'docx', 'picture', 'jpg'));
+  end;
+  'Str_Number0': begin 
+    CheckData(Input := Empty);
+    CheckOutput('оценка1', 'балл2', 'окно3');
+  end;
+  'Str_Number03': begin 
+    CheckData(Input := Empty);
+    ClearOutputListFromSpaces;
+    CheckOutput(386);
+  end;
+  'Str_Number04': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := |cInt|);
+    GenerateTests(2,34,567,67890);
+    var n := Int(0);
+    CheckOutput(n.ToString.Select(s->s.ToDigit).Sum);
+  end;
+  'Str_Number05': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(31.6666666666667,27.0,42.0);
+  end;
+  'Str_Number06': begin 
+    ClearOutputListFromSpaces;
+    CheckData(Input := Empty);
+    CheckOutput(420);
+  end;
+  end;
+end;
+
+initialization
+  CheckTask := CheckTaskT;
+  AllTaskNames := Arr('Char1','Char2','CharTable','CharPredSucc','CharIs',
+  'CharRange1','CharRange2','CharRange3','CharRange4','CharTransform',
+  'Strings1','Strings2','Strings2a','Strings3','Strings4','Strings5','Strings6','String13','String15','String16',
+  'StrCode','StrDeCode','StrCountAlg','StrGenerate1','StrGenerate2','StrCount','StrCountOf',
+  'StrCreate1','StrCreate2','StrWhere1','StrWhere2','StrSelect1','StrSelect2',
+  'StrMinMax','StrWhereSelect','StrAllAny1','StrAllAny2','StrEachCount1','StrEachCount2',
+  'StrOrder1','StrOrder2','ToWords1','ToWords2','ToWordsWhere1',
+  'Pos1','Pos2','Delete1','Delete2','Delete3','Insert1','Insert2',
+  'StrChange1','StrChange2','StrBorder0','StrBorder1',
+  'StrSlice1','StrSlice2','StrSlice4',
+  'Str_Number0','Str_Number03','Str_Number04','Str_Number05','Str_Number06' );
+finalization
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/Turtle.pas b/TestSuite/CompilationSamples/Turtle.pas
new file mode 100644
index 000000000..83d531e26
--- /dev/null
+++ b/TestSuite/CompilationSamples/Turtle.pas
@@ -0,0 +1,52 @@
+/// Исполнитель Черепаха
+unit Turtle;
+
+uses GraphWPF;
+
+type Colors = GraphWPF.Colors;
+
+var 
+  tp: Point;
+  a: real := 0;
+  dr := False;
+
+/// Поворачивает Черепаху на угол da по часовой стрелке
+procedure Turn(da: real);
+begin
+  a += da;
+end;
+
+/// Продвигает Черепаху вперёд на расстояние r
+procedure Forw(r: real);
+begin
+  tp += r * Vect(Cos(DegToRad(a)),Sin(DegToRad(a)));
+  if dr then 
+    LineTo(tp.X,tp.Y)
+  else MoveTo(tp.X,tp.Y)
+end;
+
+/// Опускает хвост Черепахи
+procedure Down := dr := True;
+
+/// Поднимает хвост Черепахи
+procedure Up := dr := False;
+
+/// Устанавливает ширину линии 
+procedure SetWidth(w: real) := Pen.Width := w;
+
+/// Устанавливает цвет линии 
+procedure SetColor(c: GColor) := Pen.Color := c;
+
+/// Перемещает Черепаху в точку (x,y)
+procedure ToPoint(x,y: real);
+begin
+  tp := Pnt(x,y);
+  MoveTo(tp.X,tp.Y);
+end;
+
+begin
+  //tp := Pnt(Window.Width / 2, Window.Height / 2);
+  tp := Pnt(400,300);
+  Pen.RoundCap := True;
+  MoveTo(tp.X,tp.Y); 
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/TurtleWPF.pas b/TestSuite/CompilationSamples/TurtleWPF.pas
new file mode 100644
index 000000000..c96482858
--- /dev/null
+++ b/TestSuite/CompilationSamples/TurtleWPF.pas
@@ -0,0 +1,272 @@
+unit TurtleWPF;
+
+interface
+
+uses GraphWPF;
+
+/// Передвигает Черепаху вперёд на расстояние r
+procedure Forw(r: real);
+
+/// Передвигает Черепаху назад на расстояние r
+procedure Back(r: real);
+
+/// Поворачивает Черепаху на угол da по часовой стрелке
+procedure Turn(da: real);
+
+/// Поворачивает Черепаху на угол da влево
+procedure TurnLeft(da: real);
+
+/// Поворачивает Черепаху на угол da вправо
+procedure TurnRight(da: real);
+
+/// Возвращает случайный цвет
+function RandomColor: Color;
+
+/// Возвращает цвет по красной, зеленой и синей составляющей (в диапазоне 0..255)
+function RGB(r,g,b: byte): Color;
+
+/// Устанавливает скорость черепашки (от 1 до 10)
+procedure SetSpeed(sp: integer);
+
+/// Прячет Черепаху
+procedure Hide;
+
+/// Показывает Черепаху
+procedure Show;
+
+/// Опускает перо Черепахи
+procedure Down;
+
+/// Поднимает перо Черепахи
+procedure Up;
+
+/// Устанавливает ширину линии 
+procedure SetWidth(w: real);
+
+/// Устанавливает цвет линии 
+procedure SetColor(c: GColor);
+
+/// Перемещает Черепаху в точку (x,y)
+procedure MoveTo(x,y: real);
+
+/// Сохраняет изображение, нарисованное Черепахой, в файл fname (например, 'a.png')
+procedure Save(fname: string);
+
+type Colors = GraphWPF.Colors;
+
+{type turtle = static class
+  /// Передвигает Черепаху вперёд на расстояние r
+  static procedure Forw(r: real) := TurtleWPF.Forw(r);
+  /// Поворачивает Черепаху на угол da по часовой стрелке
+  static procedure Turn(da: real) := TurtleWPF.Turn(da);
+  /// Возвращает случайный цвет
+  static function RandomColor: Color := TurtleWPF.RandomColor;
+  /// Возвращает цвет по красной, зеленой и синей составляющей (в диапазоне 0..255)
+  static function RGB(r,g,b: byte): Color := TurtleWPF.RGB(r,g,b);
+  /// Устанавливает скорость черепашки (от 1 до 10)
+  static procedure SetSpeed(sp: integer) := TurtleWPF.SetSpeed(sp);
+  /// Прячет Черепаху
+  static procedure Hide := TurtleWPF.Hide;
+  /// Показывает Черепаху
+  static procedure Show := TurtleWPF.Show;
+  /// Опускает перо Черепахи
+  static procedure Down := TurtleWPF.Down;
+  /// Поднимает перо Черепахи
+  static procedure Up := TurtleWPF.Up;
+  /// Устанавливает ширину линии 
+  static procedure SetWidth(w: real) := TurtleWPF.SetWidth(w);
+  /// Устанавливает цвет линии 
+  static procedure SetColor(c: GColor) := TurtleWPF.SetColor(c);
+  /// Перемещает Черепаху в точку (x,y)
+  static procedure MoveTo(x,y: real) := TurtleWPF.MoveTo(x,y);
+  /// Сохраняет изображение, нарисованное Черепахой, в файл fname (например, 'a.png')
+  static procedure Save(fname: string) := TurtleWPF.Save(fname);
+end;}
+
+implementation
+
+{$resource 'turtle.png'}
+
+uses WPFObjects,GraphWPFBase;
+uses System.Windows.Media.Animation;
+uses System.Windows.Media;
+uses System.Windows.Media.Imaging;
+
+var 
+  TurtleX: real := 400;
+  TurtleY: real := 300;
+  w := 24;  // размер изображения Черепахи
+  
+type
+  TurtleHelper = class(PictureWPF)
+  private
+    function CreateBitmapImageFromResource(resourcename: string): BitmapImage;
+    begin
+      var bi := new BitmapImage();
+      bi.BeginInit();
+      bi.StreamSource := GetResourceStream(resourcename);
+      bi.EndInit();
+      Result := bi;
+    end;
+    procedure InitObFromResource(x,y,w,h: real; fname: string);
+    begin
+      var b := CreateBitmapImageFromResource(fname);
+      Rest(x,y,w,h,b);
+    end;
+    procedure AnimMoveByPE(a,b,sec: real);
+    begin
+      var v := CreateVisual;
+      var p := Center;
+      var (x,y) := (transl.X,transl.Y);
+      var ax := new DoubleAnimation(a + x, System.TimeSpan.FromSeconds(sec));
+      var ay := new DoubleAnimation(b + y, System.TimeSpan.FromSeconds(sec));
+      ax.FillBehavior := FillBehavior.Stop;
+      ay.FillBehavior := FillBehavior.Stop;
+      var transl1 := transl;
+      ax.Completed += (o,e) -> begin
+        DrawOnVisual(v,dc->dc.DrawLine(GraphWPF.Pen.PenConstruct,p,Pnt(p.X + a,p.Y + b)));
+        transl1.X := x + a; // transl - ошибка с лямбдами!
+      end;  
+      ay.Completed += (o,e) -> begin
+        transl1.Y := y + b;
+      end;  
+      ax.CurrentTimeInvalidated  += (o,e) -> 
+        DrawOnVisual(v,dc->dc.DrawLine(GraphWPF.Pen.PenConstruct,p,Pnt(Center.X,Center.Y)));
+      transl.BeginAnimation(TranslateTransform.XProperty, ax, HandoffBehavior.Compose);
+      transl.BeginAnimation(TranslateTransform.YProperty, ay, HandoffBehavior.Compose);
+    end;
+  public
+    constructor (x,y,w,h: real; fname: string) := Invoke(InitObFromResource,x,y,w,h,fname);
+    procedure AnimMoveByE(a,b,sec: real);
+    begin
+      Invoke(AnimMoveByPE,a,b,sec);
+      Sleep(Round(sec*1000 + 50)); // 50 мс - За это время анимация должна закончиться
+    end;
+    procedure AnimRotateE(a,sec: real);
+    begin
+      AnimRotate(a,sec);
+      Sleep(Round(sec*1000 + 50));
+    end;
+  end;
+  
+var t: TurtleHelper;
+
+var 
+  a: real := 0;
+  dr := False;
+  speed := 10;
+  Window := GraphWPF.Window;
+  
+function RandomColor := GraphWPF.RandomColor;  
+function RGB(r,g,b: byte) := GraphWPF.RGB(r, g, b);
+
+var sl := 30;
+
+procedure SetSpeed(sp: integer);
+begin
+  speed := sp.Clamp(1,10);
+  if sp > 10 then
+    sl := 0
+  else sl := 30;
+end;
+
+procedure Hide;
+begin
+  t.Visible := False;
+end;
+
+procedure Show;
+begin
+  t.Visible := True;
+end;
+
+/// Поворачивает Черепаху на угол da по часовой стрелке
+procedure Turn(da: real);
+begin
+  a += da;
+  if speed = 10 then
+  begin
+    t.Rotate(da);
+    Sleep(sl);
+  end
+  else
+  begin
+    if dr then 
+      t.AnimRotateE(da,Abs(da/(60*speed))) 
+    else
+    begin
+      t.AnimRotate(da,Abs(da/(60*speed)));
+      Sleep(Round(Abs(da/(60*speed))*1000)+50);
+    end;  
+  end;
+end;
+
+procedure TurnLeft(da: real) := Turn(-da);
+
+procedure TurnRight(da: real) := Turn(da);
+
+/// Продвигает Черепаху вперёд на расстояние r
+procedure Forw(r: real);
+begin
+  var v := r * Vect(Cos(DegToRad(a)),Sin(DegToRad(a)));
+  var (a,b) := (v.X,v.Y);
+  TurtleX += a;
+  TurtleY += b;
+  if (speed = 10) or (r < 20) then
+  begin
+    if dr then 
+      GraphWPF.LineTo(TurtleX,TurtleY)
+    else GraphWPF.MoveTo(TurtleX,TurtleY);
+    t.MoveBy(a,b);
+    Sleep(sl);
+  end
+  else
+  begin
+    if dr then 
+    begin  
+      t.AnimMoveByE(a,b,r/(50*speed)); // 450 в секунду при скорости 9  
+      GraphWPF.MoveTo(TurtleX,TurtleY);
+    end
+    else 
+    begin  
+      t.AnimMoveBy(a,b,r/(50*speed));
+      Sleep(Round(r/(50*speed)*1000)+50);
+      GraphWPF.MoveTo(TurtleX,TurtleY);
+    end;  
+  end;
+end;
+
+procedure Back(r: real) := Forw(-r);
+
+/// Опускает хвост Черепахи
+procedure Down := dr := True;
+
+/// Поднимает хвост Черепахи
+procedure Up := dr := False;
+
+/// Устанавливает ширину линии 
+procedure SetWidth(w: real) := GraphWPF.Pen.Width := w;
+
+/// Устанавливает цвет линии 
+procedure SetColor(c: GColor) := GraphWPF.Pen.Color := c;
+
+/// Перемещает Черепаху в точку (x,y)
+procedure MoveTo(x,y: real);
+begin
+  TurtleX := x;
+  TurtleY := y;
+  GraphWPF.MoveTo(x,y);
+  t.Center := Pnt(x,y);
+end;
+
+procedure Save(fname: string) := Window.Save(fname);
+
+ 
+begin
+  Window.Title := 'Исполнитель Черепаха WPF';
+
+  t := new TurtleHelper(TurtleX-w/2,TurtleY-w/2,w,w,'turtle.png');
+  //Pen.RoundCap := True;
+  MoveTo(TurtleX,TurtleY); 
+  a -= 90;
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/TwoPanelsWindow.pas b/TestSuite/CompilationSamples/TwoPanelsWindow.pas
new file mode 100644
index 000000000..186d9578e
--- /dev/null
+++ b/TestSuite/CompilationSamples/TwoPanelsWindow.pas
@@ -0,0 +1,109 @@
+unit TwoPanelsWindow;
+
+{$reference 'PresentationFramework.dll'}
+{$reference 'WindowsBase.dll'}
+{$reference 'PresentationCore.dll'}
+
+{$apptype windows}
+
+uses System.Windows.Controls;
+uses System.Windows; 
+uses System.Windows.Data; 
+uses System.Reflection;
+uses System.Collections.ObjectModel;
+
+
+var app := new Application();
+var MainWindow := new Window;
+
+procedure InitWPF;
+begin
+  MainWindow.Title := 'WPF';
+  MainWindow.WindowStartupLocation := WindowStartupLocation.CenterScreen;
+  MainWindow.Width := 800;
+  MainWindow.Height := 600;
+  MainWindow.Show;
+end;
+
+function GetProperties<T>(t1: T): sequence of string;
+begin
+  var props := t1.GetType.GetProperties;
+  Result := props.OrderBy(f->f.CustomAttributes.FirstOrDefault?.ToString ?? 'NoAttr').Select(f->f.Name);
+end;
+
+var 
+  LeftPanel: StackPanel;
+  RightPanel: DockPanel;
+  
+procedure Init();
+begin
+  var dp := new DockPanel;
+  MainWindow.Content := dp; 
+
+  LeftPanel := new StackPanel();
+  LeftPanel.Width := 150;
+  dp.Children.Add(LeftPanel);
+  
+  RightPanel := new DockPanel();
+  dp.Children.Add(RightPanel);
+end;
+
+type 
+  ///!#
+  Button = class
+  private
+    btn := new System.Windows.Controls.Button;
+    procedure p;
+    begin
+      if Click<>nil then
+        Click;
+    end;
+  public
+    Click: procedure;
+    constructor (Content: string);
+    begin
+      LeftPanel.Children.Add(btn);
+      btn.HorizontalAlignment := HorizontalAlignment.Stretch;
+      btn.Margin := new Thickness(5); 
+      btn.Content := Content; 
+      btn.Click += procedure (sender: object; args: RoutedEventArgs) ->
+      begin
+        p;
+      end;
+    end;
+  end;
+  
+  ///!#
+  ListView = class
+  private
+    lv := new System.Windows.Controls.ListView;
+  public
+    constructor ();
+    begin
+      var gv := new GridView;
+      lv.View := gv;
+      RightPanel.Children.Add(lv);
+    end;
+    procedure Отобразить<T>(data: sequence of T); 
+    begin
+      var gv := lv.View as GridView;
+      var properties := GetProperties(data.First);
+      gv.Columns.Clear;
+      foreach var fld in properties do
+      begin
+        var col := new GridViewColumn; 
+        col.Header := fld; 
+        col.Width := 150; 
+        col.DisplayMemberBinding := new Binding(fld); 
+        gv.Columns.Add(col); 
+      end;
+      lv.ItemsSource := data.Skip(1);
+    end;
+  end;
+
+initialization
+  InitWPF;
+  Init;
+finalization  
+  app.Run();
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/XLSX.pas b/TestSuite/CompilationSamples/XLSX.pas
new file mode 100644
index 000000000..6459da698
--- /dev/null
+++ b/TestSuite/CompilationSamples/XLSX.pas
@@ -0,0 +1,290 @@
+unit XLSX;
+
+interface
+
+type
+  exCellBorder = class
+    IsLeft, IsRight, IsBottom, IsTop, IsDiagonal: boolean;
+  end;
+  
+  exCell = class
+    constructor(sheet: array of array of exCell; row, col: integer);
+    begin
+      _sheet := sheet; 
+      Self.row := row; 
+      Self.col := col;
+    end;
+  
+  private
+    row, col: integer;
+    _sheet: array of array of exCell;
+    function getBorders: (boolean, boolean, boolean, boolean);// (left,top,right,bottom)
+    begin
+      var left := Border.IsLeft or (col > 0) and _sheet[row, col - 1].Border.IsRight;
+      var top := Border.IsTop or (row > 0) and _sheet[row - 1, col].Border.IsBottom;
+      var right := Border.IsRight or (col + 1 < _sheet.First.Length) 
+        and (_sheet[row, col + 1].Border <> nil) and _sheet[row, col + 1].Border.IsLeft;
+      var bottom := Border.IsBottom or (row + 1 < _sheet.Length) 
+        and _sheet[row + 1, col].Border.IsTop;
+      Result := (left, top, right, bottom);
+    end;
+  
+  public
+    Border: exCellBorder;
+    Value: string;
+    property AsInt: integer read Value.ToInteger;
+    property Index: (integer, integer) read (row, col);
+    property Sheet: array of array of exCell read _sheet;
+    property Borders: (boolean, boolean, boolean, boolean) read getBorders;
+  end;
+
+function ReadXLSX(fileName: string): Dictionary<string, array of array of string>;
+function ReadXLSXAsCells(fileName: string; sheetNum: integer := 0): array of array of exCell;
+function ReadXLSXAsInts(fileName: string; sheetNum: integer := 0): array of array of integer;
+function ToDate(Self: string): DateTime;
+
+implementation
+
+{$reference System.IO.Compression.dll}
+{$reference System.IO.Compression.FileSystem.dll}
+{$reference System.Xml.dll}
+
+uses System.IO.Compression;
+uses System.Xml,sf;
+
+var
+  numFmt, numBrd: List<int>;
+  brdStyles: List<exCellBorder>;
+  arxiv: System.IO.Compression.ZipArchive;
+  shStr := new List<string>;
+  DateTypeId := |14, 15, 16, 17, 22, 27, 30, 36, 50, 55, 57|.ToHS;
+
+function ToDate(Self: string): DateTime;
+begin
+  Result := DateTime.Parse(Self);
+end;
+
+function ToCR(Self: string): (integer, integer); extensionmethod; // 'AA7' -> (6,26)
+begin
+  var clm := 0;
+  var row := 0;
+  foreach var c in Self do
+    if c in 'A'..'Z' then
+      clm := clm * 26 + (c - 'A' + 1)
+    else 
+      row := row * 10 + (c - '0');
+  Result := (row - 1, clm - 1); 
+end;
+
+function Load(path: string): XmlElement;
+begin
+  if arxiv.Entries.Any(e -> (e as ZipArchiveEntry).FullName = path) then begin
+    var stream := arxiv.GetEntry(path).Open;
+    var doc := new XmlDocument();
+    doc.Load(stream);
+    Result := doc.DocumentElement;
+  end;
+end;
+
+function SheetRange(elms: XmlElement): ((int, int), (int, int));
+begin
+  var LU, RD: (int, int);
+  var dim := elms.Item['dimension'];
+  if dim = nil then begin // собираем габариты таблицы
+    var (l, u) := (maxint, maxint);
+    var (r, d) := (-1, -1);
+    foreach var node: XmlNode in elms.Item['sheetData'].ChildNodes do
+    begin
+      foreach var cell: XmlNode in node.ChildNodes do
+      begin
+        var (i, j) := cell.Attributes.GetNamedItem('r').Value.ToCR;
+        l := min(l, i);
+        u := min(u, j);
+        r := max(r, i);
+        d := max(d, j);
+      end
+    end;
+    LU := (l, u);
+    RD := (r, d);
+  end else begin // готовые габариты из таблицы
+    var ref := dim.GetAttribute('ref');
+    if ':' in ref then 
+      (LU, RD) := ref.Split(':').Sel(s -> s.ToCR)
+    else begin
+      RD := ref.ToCR;
+      LU := RD;
+    end;
+  end;
+  Result := (LU, RD);
+end;
+
+function LoadSheet(path: string): array of array of string;
+begin
+  var elms := Load(path);
+  var (LU, RD) := SheetRange(elms);
+  
+  var (w, h) := (RD[1] - LU[1] + 1, RD[0] - LU[0] + 1);
+  var sheet: array of array of string;
+  if (w < 0) or (h < 0) then 
+    setLength(sheet, 0)
+  else begin
+    setLength(sheet, h);
+    for var i := 0 to h - 1 do sheet[i] := new string[w];
+    
+    foreach var node: XmlNode in elms.Item['sheetData'].ChildNodes do
+    begin
+      foreach var cell: XmlNode in node.ChildNodes do
+      begin
+        var (i, j) := cell.Attributes.GetNamedItem('r').Value.ToCR;
+        i -= LU[0];
+        j -= LU[1];
+        var typ := cell.Attributes.GetNamedItem('t');
+        var st := cell.Attributes.GetNamedItem('s');
+        var shared := false;
+        if (typ <> nil) and (typ.Value = 's') then 
+          shared := true;
+        var value := '';
+        foreach var vl: XmlNode in cell.ChildNodes do
+          if vl.Name = 'v' then value := vl.InnerText;
+        if shared then 
+          sheet[i, j] := shStr[value.ToInteger]
+        else if (st <> nil) and (numFmt[st.Value.ToI] in DateTypeId) then
+          sheet[i, j] := (new DateTime(1900, 1, 1)).AddDays(value.ToI - 2).ToString('dd.MM.yyyy')
+        else
+          sheet[i, j] := value;
+      end;
+    end;
+  end;
+  Result := sheet;
+end;
+
+function LoadSheetAsCells(path: string): array of array of exCell;
+begin
+  var elms := Load(path);
+  var (LU, RD) := SheetRange(elms);
+  
+  var (w, h) := (RD[1] - LU[1] + 1, RD[0] - LU[0] + 1);
+  var sheet: array of array of exCell;
+  if (w < 0) or (h < 0) then 
+    setLength(sheet, 0)
+  else begin
+    setLength(sheet, h);
+    for var i := 0 to h - 1 do sheet[i] := new exCell[w];
+    
+    foreach var node: XmlNode in elms.Item['sheetData'].ChildNodes do
+    begin
+      foreach var cell: XmlNode in node.ChildNodes do
+      begin
+        var (i, j) := cell.Attributes.GetNamedItem('r').Value.ToCR;
+        i -= LU[0];
+        j -= LU[1];
+        var typ := cell.Attributes.GetNamedItem('t');
+        var st := cell.Attributes.GetNamedItem('s');
+        var shared := false;
+        if (typ <> nil) and (typ.Value = 's') then 
+          shared := true;
+        
+        var value := '';
+        foreach var vl: XmlNode in cell.ChildNodes do 
+          if vl.Name = 'v' then 
+            value := vl.InnerText;
+        
+        var cellValue := new exCell(sheet, i, j);
+        sheet[i, j] := cellValue;
+        if st <> nil then 
+          cellValue.Border := brdStyles[numBrd[st.Value.ToI]];
+        
+        if shared then 
+          cellValue.Value := shStr[value.ToInteger]
+        else if (st <> nil) and (numFmt[st.Value.ToI] in DateTypeId) then
+          cellValue.Value := (new DateTime(1900, 1, 1)).AddDays(value.ToI - 2).ToString('dd.MM.yyyy')
+        else
+          cellValue.Value := value;
+      end;
+    end;
+  end;
+  Result := sheet;
+end;
+
+function ReadXLSXAsCells(fileName: string; sheetNum: integer): array of array of exCell;
+begin
+  arxiv := ZipFile.OpenRead(fileName);
+  
+  // общие строки
+  var elms := Load('xl/sharedStrings.xml');
+  if elms <> nil then 
+    foreach var node: XmlNode in elms.ChildNodes do
+      shStr.Add(node.Item['t'].InnerText.Trim);
+  
+  // бордюры
+  elms := Load('xl/styles.xml');
+  brdStyles := new List<exCellBorder>;
+  foreach var node: XmlNode in elms.Item['borders'].ChildNodes do
+  begin
+    var brd := new exCellBorder;
+    brd.IsLeft := node.Item['left'].Attributes.Count > 0;
+    brd.IsRight := node.Item['right'].Attributes.Count > 0;
+    brd.IsTop := node.Item['top'].Attributes.Count > 0;
+    brd.IsBottom := node.Item['bottom'].Attributes.Count > 0;
+    brd.IsDiagonal := node.Item['diagonal'].Attributes.Count > 0;
+    brdStyles.Add(brd);
+  end;
+  
+  // стили
+  numFmt := new List<int>;
+  numBrd := new List<int>;
+  foreach var node: XmlNode in elms.Item['cellXfs'].ChildNodes do
+  begin
+    numFmt.Add(node.Attributes.GetNamedItem('numFmtId').Value.ToI);
+    numBrd.Add(node.Attributes.GetNamedItem('borderId').Value.ToI);
+  end;
+  
+  elms := Load('xl/workbook.xml');
+  foreach var node: XmlNode in elms.Item['sheets'].ChildNodes do
+  begin
+    var name := node.Attributes.GetNamedItem('name').Value;
+    var attrs := new List<string>;
+    foreach var attr: XmlAttribute in node.Attributes do 
+      attrs.Add(attr.Name);
+    var sheetId := node.Attributes.GetNamedItem('r:id').Value[4:];
+    Result := LoadSheetAsCells($'xl/worksheets/sheet{sheetId}.xml');
+    sheetNum -= 1;
+    if sheetNum = 0 then 
+      break;
+  end;
+end;
+
+function ReadXLSX(fileName: string): Dictionary<string, array of array of string>;
+begin
+  arxiv := ZipFile.OpenRead(fileName);
+  
+  // общие строки
+  var elms := Load('xl/sharedStrings.xml');
+  if elms <> nil then 
+    foreach var node: XmlNode in elms.ChildNodes do
+      shStr.Add(node.Item['t'].InnerText.Trim);
+  
+  // стили
+  elms := Load('xl/styles.xml');
+  numFmt := new List<int>;
+  foreach var node: XmlNode in elms.Item['cellXfs'].ChildNodes do 
+    numFmt.Add(node.Attributes.GetNamedItem('numFmtId').Value.ToI);
+  
+  elms := Load('xl/workbook.xml');
+  Result := new Dictionary<string, array of array of string>;
+  foreach var node: XmlNode in elms.Item['sheets'].ChildNodes do
+  begin
+    var name := node.Attributes.GetNamedItem('name').Value;
+    var attrs := new List<string>;
+    foreach var attr: XmlAttribute in node.Attributes do 
+      attrs.Add(attr.Name);
+    var sheetId := node.Attributes.GetNamedItem('r:id').Value[4:];
+    Result[name] := LoadSheet($'xl/worksheets/sheet{sheetId}.xml');
+  end;
+end;
+
+
+function ReadXLSXAsInts(fileName: string; sheetNum: integer) 
+:= ReadXLSX(fileName).Values.Skip(sheetNum).First.Select(r -> r.Select(c -> c.ToInteger).ToArray).ToArray;
+
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/xPT4MakerNetX.pas b/TestSuite/CompilationSamples/xPT4MakerNetX.pas
new file mode 100644
index 000000000..6125c6bed
--- /dev/null
+++ b/TestSuite/CompilationSamples/xPT4MakerNetX.pas
@@ -0,0 +1,1692 @@
+{$reference System.Windows.Forms.dll}
+
+/// Конструктор учебных заданий для задачника Programming Taskbook.
+/// Версия 1.9 от 26.03.2023 (С) М. Э. Абрамян, 2016-2023.
+/// Все компоненты конструктора могут вызываться либо как классовые методы класса pt, 
+/// либо как обычные константы и процедуры.
+unit xPT4MakerNetX;
+
+interface
+
+const
+  OptionAllLanguages = 1;       // группа доступна для всех языков
+  OptionPascalLanguages = 2;    // группа доступна для всех реализаций Паскаля
+  OptionNETLanguages = 4;       // группа доступна для всех NET-языков
+  OptionUseAddition = 8;        // группа доступна только при наличии файла дополнений
+  OptionHideExamples = 16;      // не отображать раздел с примером верного решения
+
+/// Процедура, с которой должно начинаться определение нового задания.
+/// Должна вызываться в процедуре с именем, начинающемся с текста Task.
+/// Параметр topic определяет имя подгруппы и является необязательным.
+/// Параметр tasktext содержит формулировку задания; отдельные строки
+/// формулировки должны разделяться символами #13, #10 или #13#10.
+procedure NewTask(topic, tasktext: string);
+
+
+/// Процедура, с которой должно начинаться определение нового задания.
+/// Должна вызываться в процедуре с именем, начинающемся с текста Task.
+/// Параметр tasktext содержит формулировку задания; отдельные строки
+/// формулировки должны разделяться символами #13, #10 или #13#10.
+procedure NewTask(tasktext: string);
+
+
+/// Добавляет комментарий в новой строке раздела исходных даннных.
+procedure DataComm(comm: string);
+
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+procedure Data(comm: string; a: object);
+
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+procedure Data(comm1: string; a1: object; comm2: string);
+
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+procedure Data(comm1: string; a1: object; comm2: string; a2: object);
+
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+procedure Data(comm1: string; a1: object; comm2: string; a2: object; comm3: string);
+
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+procedure Data(comm1: string; a1: object; comm2: string; a2: object; comm3: string; a3: object);
+
+/// Добавляет последовательность логических данных в раздел исходных данных.
+procedure Data(seq: sequence of boolean);
+
+/// Добавляет последовательность целых чисел в раздел исходных данных.
+procedure Data(seq: sequence of integer);
+
+/// Добавляет последовательность вещественных чисел в раздел исходных данных.
+procedure Data(seq: sequence of real);
+
+/// Добавляет последовательность символов в раздел исходных данных.
+procedure Data(seq: sequence of char);
+
+/// Добавляет последовательность строк в раздел исходных данных.
+procedure Data(seq: sequence of string);
+
+/// Добавляет комментарий в новой строке раздела результатов.
+procedure ResComm(comm: string);
+
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+procedure Res(comm: string; a: object);
+
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+procedure Res(comm1: string; a1: object; comm2: string);
+
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+procedure Res(comm1: string; a1: object; comm2: string; a2: object);
+
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+procedure Res(comm1: string; a1: object; comm2: string; a2: object; comm3: string);
+
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+procedure Res(comm1: string; a1: object; comm2: string; a2: object; comm3: string; a3: object);
+
+/// Добавляет последовательность логических данных в раздел результатов.
+procedure Res(seq: sequence of boolean);
+
+/// Добавляет последовательность целых чисел в раздел результатов.
+procedure Res(seq: sequence of integer);
+
+/// Добавляет последовательность вещественных чисел в раздел результатов.
+procedure Res(seq: sequence of real);
+
+/// Добавляет последовательность символов в раздел результатов.
+procedure Res(seq: sequence of char);
+
+/// Добавляет последовательность строк в раздел результатов.
+procedure Res(seq: sequence of string);
+
+/// Задает минимальную ширину поля вывода для числовых данных
+/// (числа выравниваются по правому краю поля вывода, 
+/// т.е. при необходимости дополняются слева пробелами).
+/// Если n не лежит в диапазоне 0..10, то вызов процедуры игнорируется.
+/// По умолчанию минимальная ширина поля вывода полагается равной 0.
+procedure SetWidth(n: integer);
+
+/// Задает формат отображения вещественных чисел: 
+/// с фиксированной точкой и n дробными знаками при n > 0,
+/// с плавающей точкой и n дробными знаками при n < 0,
+/// с плавающей точкой и 6 дробными знаками при n = 0.
+/// Если n по модулю превосходит 10, то вызов процедуры игнорируется.
+/// По умолчанию устанавливается формат с фиксированной точкой
+/// и 2 дробными знаками.
+procedure SetPrecision(n: integer);
+
+/// Задает количество тестовых запусков, выполняемых
+/// для проверки правильности программы (от 2 до 10). 
+/// По умолчанию число тестовых запусков полагается равным 5.
+procedure SetTestCount(n: integer);
+
+/// Задает минимально необходимое количество элементов 
+/// исходных данных, которое требуется ввести для правильного
+/// решения задачи в случае текущего набора исходных данных. 
+/// При отсутствии процедуры предполагается,
+/// что для правильного решения надо ввести все исходные данные.
+procedure SetRequiredDataCount(n: integer);
+
+/// Возвращает номер текущего тестового запуска 
+/// (запуски нумеруются от 1).
+function CurrentTest: integer;
+
+/// Генерирует случайное целое число в диапазоне от M до N включительно.
+/// Если M >= N, то возвращает M.
+function Random(M, N: integer): integer;
+
+/// Генерирует случайное вещественное число на промежутке [A, B).
+/// Если промежуток [A, B) пуст, то возвращает A.
+function Random(A, B: real): real;
+
+/// Генерирует случайное вещественное число на промежутке [A, B)
+/// с одним дробным знаком и случайной добавкой порядка 1e-7.
+/// Если промежуток [A, B) пуст, то возвращает A, округленное
+/// до одного дробного знака и снабженное добавкой порядка 1e-7.
+function Random1(A, B: real): real;
+
+/// Генерирует случайное вещественное число на промежутке [A, B)
+/// с двумя дробными знаками и случайной добавкой порядка 1e-7.
+/// Если промежуток [A, B) пуст, то возвращает A, округленное
+/// до двух дробных знаков и снабженное добавкой порядка 1e-7.
+function Random2(A, B: real): real;
+
+/// Генерирует случайную строку длины len, состоящую
+/// из цифр и строчных (т.е. маленьких) латинских букв.
+function RandomName(len: integer): string;
+
+/// Создает новую группу с кратким описанием GroupDescription,
+/// информацией об авторе GroupAuthor и набором необязательных опций, объединяемых операцией or.
+/// Имя группы определяется по имени библиотеки (путем отбрасывания префикса xPT4
+/// и возможных суффиксов _ru или _en). 
+/// В группу включаются задания, определенные в процедурах, имена которых начинаются с текста Task.
+/// Процедура NewGroup должна быть вызвана в процедуре inittaskgroup без параметров, которую
+/// необходимо описать в библиотеке с группой заданий (все буквы в имени inittaskgroup - строчные).
+procedure NewGroup(GroupDescription, GroupAuthor: string; Options: integer := 0);
+
+/// Создает новую группу с кратким описанием GroupDescription, английским описанием GroupEnDescription,
+/// информацией об авторе GroupAuthor и набором необязательных опций, объединяемых операцией or.
+/// Имя группы определяется по имени библиотеки (путем отбрасывания префикса PT4
+/// и возможных суффиксов _ru или _en). 
+/// В группу включаются задания, определенные в процедурах, имена которых начинаются с текста Task.
+/// Процедура NewGroup должна быть вызвана в процедуре inittaskgroup без параметров, которую
+/// необходимо описать в библиотеке с группой заданий (все буквы в имени inittaskgroup - строчные).
+procedure NewGroup(GroupDescription, GroupEnDescription, GroupAuthor: string; Options: integer := 0);
+
+/// Обеспечивает регистрацию созданной группы в электронном задачнике.
+/// Процедура ActivateNET(S) должна быть вызвана в процедуре activate(S: string),
+/// которую необходимо описать в библиотеке с группой заданий (все буквы в имени activate - строчные).
+procedure ActivateNET(S: string);
+
+/// Импортирует в создаваемую группу существующее задание
+/// из группы GroupName с номером TaskNumber. Должна вызываться
+/// в процедуре с именем, начинающемся с текста Task.
+procedure UseTask(GroupName: string; TaskNumber: integer);
+
+/// Импортирует в создаваемую группу существующее задание
+/// из группы GroupName с номером TaskNumber. Должна вызываться
+/// в процедуре с именем, начинающемся с текста Task.
+procedure UseTask(GroupName: string; TaskNumber: integer; TopicDescription: string);
+
+/// Возвращает массив из 116 русских слов.
+function GetWords: array of string;
+/// Возвращает массив из 116 английских слов.
+function GetEnWords: array of string;
+/// Возвращает массив из 61 русского предложения.
+function GetSentences: array of string;
+/// Возвращает массив из 61 английского предложения.
+function GetEnSentences: array of string;
+/// Возвращает массив из 85 русских многострочных текстов.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+function GetTexts: array of string;
+/// Возвращает массив из 85 английских многострочных текстов.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+function GetEnTexts: array of string;
+
+/// Возвращает случайное русское слово из массива, 
+/// входящего в конструктор учебных заданий.
+function RandomWord: string;
+/// Возвращает случайное английское слово из массива, 
+/// входящего в конструктор учебных заданий.
+function RandomEnWord: string;
+/// Возвращает случайное русское предложение из массива, 
+/// входящего в конструктор учебных заданий.
+function RandomSentence: string;
+/// Возвращает случайное английское предложение из массива, 
+/// входящего в конструктор учебных заданий.
+function RandomEnSentence: string;
+/// Возвращает случайный русский многострочный текст из массива, 
+/// входящего в конструктор учебных заданий.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+function RandomText: string;
+/// Возвращает случайный английский многострочный текст из массива, 
+/// входящего в конструктор учебных заданий.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+function RandomEnText: string;
+
+
+/// Добавляет в задание исходный файл целых чисел
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных.
+procedure DataFileInteger(FileName: string);
+/// Добавляет в задание исходный файл вещественных чисел
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных.
+procedure DataFileReal(FileName: string);
+/// Добавляет в задание исходный символьный файл
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных. Символы должны
+/// храниться в файле в однобайтной кодировке.
+procedure DataFileChar(FileName: string);
+/// Добавляет в задание исходный строковый файл
+/// с элементами типа ShortString и именем FileName 
+/// и отображает его содержимое в разделе исходных данных.
+/// Длина элементов файла не должна превосходить 70 символов.
+/// Строки должны храниться в файле в однобайтной кодировке.
+procedure DataFileString(FileName: string);
+/// Добавляет в задание исходный текстовый файл
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных. Длина каждой строки
+/// текстового файла не должна превосходить 70 символов.
+/// Текст должен храниться в файле в однобайтной кодировке.
+procedure DataText(FileName: string; LineCount: integer := 4);
+
+/// Добавляет в задание результирующий файл целых чисел
+/// с именем FileName и отображает его содержимое в разделе результатов.
+procedure ResFileInteger(FileName: string);
+/// Добавляет в задание результирующий файл вещественных чисел
+/// с именем FileName и отображает его содержимое в разделе результатов.
+procedure ResFileReal(FileName: string);
+/// Добавляет в задание результирующий символьный файл
+/// с именем FileName и отображает его содержимое в разделе результатов.
+/// Символы должны храниться в файле в однобайтной кодировке.
+procedure ResFileChar(FileName: string);
+/// Добавляет в задание результирующий строковый файл
+/// с элементами типа ShortString и именем FileName 
+/// и отображает его содержимое в разделе результатов.
+/// Длина элементов файла не должна превосходить 70 символов.
+/// Строки должны храниться в файле в однобайтной кодировке.
+procedure ResFileString(FileName: string);
+/// Добавляет в задание результирующий текстовый файл
+/// с именем FileName и отображает его содержимое в разделе результатов. 
+/// Длина каждой строки текстового файла не должна превосходить 70 символов.
+/// Текст должен храниться в файле в однобайтной кодировке.
+procedure ResText(FileName: string; LineCount: integer := 5);
+
+type pt = class
+  private
+   constructor Create;
+   begin
+   end;
+  public
+/// Дополнительная опция для процедуры NewGroup: 
+/// группа доступна для всех языков.  
+  class function OptionAllLanguages: integer;    
+  begin
+    result := xPT4MakerNetX.OptionAllLanguages;
+  end;  
+/// Дополнительная опция для процедуры NewGroup: 
+/// группа доступна для всех реализаций языка Pascal.
+  class function OptionPascalLanguages: integer;    
+  begin
+    result := xPT4MakerNetX.OptionPascalLanguages;
+  end;  
+/// Дополнительная опция для процедуры NewGroup: 
+/// группа доступна для всех NET-языков.
+  class function OptionNETLanguages: integer;    
+  begin
+    result := xPT4MakerNetX.OptionNETLanguages;
+  end;  
+/// Дополнительная опция для процедуры NewGroup: 
+/// группа доступна только при наличии связанного с ней файла дополнений.
+  class function OptionUseAddition: integer;    
+  begin
+    result := xPT4MakerNetX.OptionUseAddition;
+  end;  
+/// Дополнительная опция для процедуры NewGroup: 
+/// в заданиях данной группы не будет отображаться пример верного решения.
+  class function OptionHideExamples: integer;    
+  begin
+    result := xPT4MakerNetX.OptionHideExamples;
+  end;  
+/// Процедура, с которой должно начинаться определение нового задания.
+/// Должна вызываться в процедуре с именем, начинающемся с текста Task.
+/// Параметр topic определяет имя подгруппы (является необязательным).
+/// Параметр tasktext содержит формулировку задания; отдельные строки
+/// формулировки должны разделяться символами #13, #10 или #13#10.
+class procedure NewTask(topic, tasktext: string);
+begin
+  xPT4MakerNetX.NewTask(topic, tasktext);
+end;
+
+/// Процедура, с которой должно начинаться определение нового задания.
+/// Должна вызываться в процедуре с именем, начинающемся с текста Task.
+/// Параметр tasktext содержит формулировку задания; отдельные строки
+/// формулировки должны разделяться символами #13, #10 или #13#10.
+class procedure NewTask(tasktext: string);
+begin
+  xPT4MakerNetX.NewTask(tasktext);
+end;
+
+/// Добавляет комментарий в новой строке раздела исходных даннных.
+class procedure DataComm(comm: string);
+begin
+  xPT4MakerNetX.DataComm(comm);
+end;
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+class procedure Data(comm: string; a: object);
+begin
+  xPT4MakerNetX.Data(comm, a);
+end;
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+class procedure Data(comm1: string; a1: object; comm2: string);
+begin
+  xPT4MakerNetX.Data(comm1, a1, comm2);
+end;
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+class procedure Data(comm1: string; a1: object; comm2: string; a2: object);
+begin
+  xPT4MakerNetX.Data(comm1, a1, comm2, a2);
+end;
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+class procedure Data(comm1: string; a1: object; comm2: string; a2: object; comm3: string);
+begin
+  xPT4MakerNetX.Data(comm1, a1, comm2, a2, comm3);
+end;
+/// Добавляет данные и комментарии в новой строке раздела исходных даннных.
+class procedure Data(comm1: string; a1: object; comm2: string; a2: object; comm3: string; a3: object);
+begin
+  xPT4MakerNetX.Data(comm1, a1, comm2, a2, comm3, a3);
+end;
+/// Добавляет последовательность логических данных в раздел исходных данных.
+class procedure Data(seq: sequence of boolean);
+begin
+  xPT4MakerNetX.Data(seq);
+end;
+/// Добавляет последовательность целых чисел в раздел исходных данных.
+class procedure Data(seq: sequence of integer);
+begin
+  xPT4MakerNetX.Data(seq);
+end;
+/// Добавляет последовательность вещественных чисел в раздел исходных данных.
+class procedure Data(seq: sequence of real);
+begin
+  xPT4MakerNetX.Data(seq);
+end;
+/// Добавляет последовательность символов в раздел исходных данных.
+class procedure Data(seq: sequence of char);
+begin
+  xPT4MakerNetX.Data(seq);
+end;
+/// Добавляет последовательность строк в раздел исходных данных.
+class procedure Data(seq: sequence of string);
+begin
+  xPT4MakerNetX.Data(seq);
+end;
+
+/// Добавляет комментарий в новой строке раздела результатов.
+class procedure ResComm(comm: string);
+begin
+  xPT4MakerNetX.ResComm(comm);
+end;
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+class procedure Res(comm: string; a: object);
+begin
+  xPT4MakerNetX.Res(comm, a);
+end;
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+class procedure Res(comm1: string; a1: object; comm2: string);
+begin
+  xPT4MakerNetX.Res(comm1, a1, comm2);
+end;
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+class procedure Res(comm1: string; a1: object; comm2: string; a2: object);
+begin
+  xPT4MakerNetX.Res(comm1, a1, comm2, a2);
+end;
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+class procedure Res(comm1: string; a1: object; comm2: string; a2: object; comm3: string);
+begin
+  xPT4MakerNetX.Res(comm1, a1, comm2, a2, comm3);
+end;
+/// Добавляет данные и комментарии в новой строке раздела результатов.
+class procedure Res(comm1: string; a1: object; comm2: string; a2: object; comm3: string; a3: object);
+begin
+  xPT4MakerNetX.Res(comm1, a1, comm2, a2, comm3, a3);
+end;
+/// Добавляет последовательность логических данных в раздел результатов.
+class procedure Res(seq: sequence of boolean);
+begin
+  xPT4MakerNetX.Res(seq);
+end;
+/// Добавляет последовательность целых чисел в раздел результатов.
+class procedure Res(seq: sequence of integer);
+begin
+  xPT4MakerNetX.Res(seq);
+end;
+/// Добавляет последовательность вещественных чисел в раздел результатов.
+class procedure Res(seq: sequence of real);
+begin
+  xPT4MakerNetX.Res(seq);
+end;
+/// Добавляет последовательность символов в раздел результатов.
+class procedure Res(seq: sequence of char);
+begin
+  xPT4MakerNetX.Res(seq);
+end;
+/// Добавляет последовательность строк в раздел результатов.
+class procedure Res(seq: sequence of string);
+begin
+  xPT4MakerNetX.Res(seq);
+end;
+
+/// Задает минимальную ширину поля вывода для числовых данных
+/// (числа выравниваются по правому краю поля вывода, 
+/// т.е. при необходимости дополняются слева пробелами).
+/// Если n не лежит в диапазоне 0..10, то вызов процедуры игнорируется.
+/// По умолчанию минимальная ширина поля вывода полагается равной 0.
+class procedure SetWidth(n: integer);
+begin
+  xPT4MakerNetX.SetWidth(n);
+end;
+/// Задает формат отображения вещественных чисел: 
+/// с фиксированной точкой и n дробными знаками при n > 0,
+/// с плавающей точкой и n дробными знаками при n < 0,
+/// с плавающей точкой и 6 дробными знаками при n = 0.
+/// Если n по модулю превосходит 10, то вызов процедуры игнорируется.
+/// По умолчанию устанавливается формат с фиксированной точкой
+/// и 2 дробными знаками.
+class procedure SetPrecision(n: integer);
+begin
+  xPT4MakerNetX.SetPrecision(n);
+end;
+/// Задает количество тестовых запусков, выполняемых
+/// для проверки правильности программы (от 2 до 10). 
+/// По умолчанию число тестовых запусков полагается равным 5.
+class procedure SetTestCount(n: integer);
+begin
+  xPT4MakerNetX.SetTestCount(n);
+end;
+/// Задает минимально необходимое количество элементов 
+/// исходных данных, которое требуется ввести для правильного
+/// решения задачи в случае текущего набора исходных данных. 
+/// При отсутствии процедуры предполагается,
+/// что для правильного решения надо ввести все исходные данные.
+class procedure SetRequiredDataCount(n: integer);
+begin
+  xPT4MakerNetX.SetRequiredDataCount(n);
+end;
+/// Возвращает номер текущего тестового запуска 
+/// (запуски нумеруются от 1).
+class function CurrentTest: integer;
+begin
+  result := xPT4MakerNetX.CurrentTest;
+end;
+
+/// Генерирует случайное целое число в диапазоне от M до N включительно.
+/// Если M >= N, то возвращает M.
+class function Random(M, N: integer): integer;
+begin
+  result := xPT4MakerNetX.Random(M, N);
+end;
+/// Генерирует случайное вещественное число на промежутке [A, B).
+/// Если промежуток [A, B) пуст, то возвращает A.
+class function Random(A, B: real): real;
+begin
+  result := xPT4MakerNetX.Random(A, B);
+end;
+/// Генерирует случайное вещественное число на промежутке [A, B)
+/// с одним дробным знаком и случайной добавкой порядка 1e-7.
+/// Если промежуток [A, B) пуст, то возвращает A, округленное
+/// до одного дробного знака и снабженное добавкой порядка 1e-7.
+class function Random1(A, B: real): real;
+begin
+  result := xPT4MakerNetX.Random1(A, B);
+end;
+/// Генерирует случайное вещественное число на промежутке [A, B)
+/// с двумя дробными знаками и случайной добавкой порядка 1e-7.
+/// Если промежуток [A, B) пуст, то возвращает A, округленное
+/// до двух дробных знаков и снабженное добавкой порядка 1e-7.
+class function Random2(A, B: real): real;
+begin
+  result := xPT4MakerNetX.Random2(A, B);
+end;
+/// Генерирует случайную строку длины len, состоящую
+/// из цифр и строчных (т.е. маленьких) латинских букв.
+class function RandomName(len: integer): string;
+begin
+  result := xPT4MakerNetX.RandomName(len);
+end;
+
+/// Создает новую группу с кратким описанием GroupDescription,
+/// информацией об авторе GroupAuthor и набором необязательных опций, объединяемых операцией or.
+/// Имя группы определяется по имени библиотеки (путем отбрасывания префикса xPT4 
+/// и возможных суффиксов _ru или _en). 
+/// В группу включаются задания, определенные в процедурах, имена которых начинаются с текста Task.
+/// Процедура NewGroup должна быть вызвана в процедуре inittaskgroup без параметров, которую
+/// необходимо описать в библиотеке с группой заданий (все буквы в имени inittaskgroup - строчные).
+class procedure NewGroup(GroupDescription, GroupAuthor: string; Options: integer := 0);
+begin
+  xPT4MakerNetX.NewGroup(GroupDescription, GroupAuthor, Options);
+end;
+/// Создает новую группу с кратким описанием GroupDescription, английским описанием GroupEnDescription,
+/// информацией об авторе GroupAuthor и набором необязательных опций, объединяемых операцией or.
+/// Имя группы определяется по имени библиотеки (путем отбрасывания префикса PT4
+/// и возможных суффиксов _ru или _en). 
+/// В группу включаются задания, определенные в процедурах, имена которых начинаются с текста Task.
+/// Процедура NewGroup должна быть вызвана в процедуре inittaskgroup без параметров, которую
+/// необходимо описать в библиотеке с группой заданий (все буквы в имени inittaskgroup - строчные).
+class procedure NewGroup(GroupDescription, GroupEnDescription, GroupAuthor: string; Options: integer := 0);
+begin
+  xPT4MakerNetX.NewGroup(GroupDescription, GroupEnDescription, GroupAuthor, Options);
+end;
+/// Обеспечивает регистрацию созданной группы в электронном задачнике.
+/// Процедура ActivateNET(S) должна быть вызвана в процедуре activate(S: string),
+/// которую необходимо описать в библиотеке с группой заданий (все буквы в имени activate - строчные).
+class procedure ActivateNET(S: string);
+begin
+  xPT4MakerNetX.ActivateNET(S);
+end;
+/// Импортирует в создаваемую группу существующее задание
+/// из группы GroupName с номером TaskNumber. Должна вызываться
+/// в процедуре с именем, начинающемся с текста Task.
+class procedure UseTask(GroupName: string; TaskNumber: integer);
+begin
+  xPT4MakerNetX.UseTask(GroupName, TaskNumber);
+end;
+/// Импортирует в создаваемую группу существующее задание
+/// из группы GroupName с номером TaskNumber. Должна вызываться
+/// в процедуре с именем, начинающемся с текста Task.
+class procedure UseTask(GroupName: string; TaskNumber: integer; TopicDescription: string);
+begin
+  xPT4MakerNetX.UseTask(GroupName, TaskNumber, TopicDescription);
+end;
+/// Возвращает массив из 116 русских слов.
+class function GetWords: array of string;
+begin
+  result := xPT4MakerNetX.GetWords;
+end;
+/// Возвращает массив из 116 английских слов.
+class function GetEnWords: array of string;
+begin
+  result := xPT4MakerNetX.GetEnWords;
+end;
+/// Возвращает массив из 61 русского предложения.
+class function GetSentences: array of string;
+begin
+  result := xPT4MakerNetX.GetSentences;
+end;
+/// Возвращает массив из 61 английского предложения.
+class function GetEnSentences: array of string;
+begin
+  result := xPT4MakerNetX.GetEnSentences;
+end;
+/// Возвращает массив из 85 русских многострочных текстов.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+class function GetTexts: array of string;
+begin
+  result := xPT4MakerNetX.GetTexts;
+end;
+/// Возвращает массив из 85 английских многострочных текстов.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+class function GetEnTexts: array of string;
+begin
+  result := xPT4MakerNetX.GetEnTexts;
+end;
+/// Возвращает случайное русское слово из массива, 
+/// входящего в конструктор учебных заданий.
+class function RandomWord: string;
+begin
+  result := xPT4MakerNetX.RandomWord;
+end;
+/// Возвращает случайное английское слово из массива, 
+/// входящего в конструктор учебных заданий.
+class function RandomEnWord: string;
+begin
+  result := xPT4MakerNetX.RandomEnWord;
+end;
+/// Возвращает случайное русское предложение из массива, 
+/// входящего в конструктор учебных заданий.
+class function RandomSentence: string;
+begin
+  result := xPT4MakerNetX.RandomSentence;
+end;
+/// Возвращает случайное английское предложение из массива, 
+/// входящего в конструктор учебных заданий.
+class function RandomEnSentence: string;
+begin
+  result := xPT4MakerNetX.RandomEnSentence;
+end;
+/// Возвращает случайный русский многострочный текст из массива, 
+/// входящего в конструктор учебных заданий.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+class function RandomText: string;
+begin
+  result := xPT4MakerNetX.RandomText;
+end;
+/// Возвращает случайный английский многострочный текст из массива, 
+/// входящего в конструктор учебных заданий.
+/// Строки текста разделяются символами #13#10.
+/// В конце текста символы #13#10 отсутствуют.
+class function RandomEnText: string;
+begin
+  result := xPT4MakerNetX.RandomEnText;
+end;
+
+/// Добавляет в задание исходный файл целых чисел
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных.
+class procedure DataFileInteger(FileName: string);
+begin
+  xPT4MakerNetX.DataFileInteger(FileName);
+end;
+/// Добавляет в задание исходный файл вещественных чисел
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных.
+class procedure DataFileReal(FileName: string);
+begin
+  xPT4MakerNetX.DataFileReal(FileName);
+end;
+/// Добавляет в задание исходный символьный файл
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных. Символы должны
+/// храниться в файле в однобайтной кодировке.
+class procedure DataFileChar(FileName: string);
+begin
+  xPT4MakerNetX.DataFileChar(FileName);
+end;
+/// Добавляет в задание исходный строковый файл
+/// с элементами типа ShortString и именем FileName 
+/// и отображает его содержимое в разделе исходных данных.
+/// Длина элементов файла не должна превосходить 70 символов.
+/// Строки должны храниться в файле в однобайтной кодировке.
+class procedure DataFileString(FileName: string);
+begin
+  xPT4MakerNetX.DataFileString(FileName);
+end;
+/// Добавляет в задание исходный текстовый файл
+/// с именем FileName и отображает его содержимое
+/// в разделе исходных данных. Длина каждой строки
+/// текстового файла не должна превосходить 70 символов.
+/// Текст должен храниться в файле в однобайтной кодировке.
+class procedure DataText(FileName: string; LineCount: integer := 4);
+begin
+  xPT4MakerNetX.DataText(FileName);
+end;
+
+/// Добавляет в задание результирующий файл целых чисел
+/// с именем FileName и отображает его содержимое в разделе результатов.
+class procedure ResFileInteger(FileName: string);
+begin
+  xPT4MakerNetX.ResFileInteger(FileName);
+end;
+/// Добавляет в задание результирующий файл вещественных чисел
+/// с именем FileName и отображает его содержимое в разделе результатов.
+class procedure ResFileReal(FileName: string);
+begin
+  xPT4MakerNetX.ResFileReal(FileName);
+end;
+/// Добавляет в задание результирующий символьный файл
+/// с именем FileName и отображает его содержимое в разделе результатов.
+/// Символы должны храниться в файле в однобайтной кодировке.
+class procedure ResFileChar(FileName: string);
+begin
+  xPT4MakerNetX.ResFileChar(FileName);
+end;
+/// Добавляет в задание результирующий строковый файл
+/// с элементами типа ShortString и именем FileName 
+/// и отображает его содержимое в разделе результатов.
+/// Длина элементов файла не должна превосходить 70 символов.
+/// Строки должны храниться в файле в однобайтной кодировке.
+class procedure ResFileString(FileName: string);
+begin
+  xPT4MakerNetX.ResFileString(FileName);
+end;
+/// Добавляет в задание результирующий текстовый файл
+/// с именем FileName и отображает его содержимое в разделе результатов. 
+/// Длина каждой строки текстового файла не должна превосходить 70 символов.
+/// Текст должен храниться в файле в однобайтной кодировке.
+class procedure ResText(FileName: string; LineCount: integer := 5);
+begin
+  xPT4MakerNetX.ResText(FileName);
+end;
+end;
+
+
+implementation
+{$reference system.windows.forms.dll}
+uses System.Reflection, xPT4TaskMakerNET, System.Windows.Forms, System;
+
+const
+  alphabet = '0123456789abcdefghijklmnopqrstuvwxyz';
+  ErrMes1 = 'Error: Раздел размером более 5 строк не может содержать файловые данные.';
+  ErrMes2 = 'Error: При наличии файловых данных раздел не может содержать более 5 строк.';
+  ErrMes3 = 'Error: Количество исходных данных превысило 200.';
+  ErrMes4 = 'Error: Количество результирующих данных превысило 200.';
+  ErrMes5 = 'Error: При определении задания первой должна вызываться процедура NewTask.';
+  ErrMes6 = 'Error: При определении задания не указаны исходные данные.';
+  ErrMes7 = 'Error: При определении задания не указаны результирующие данные.';
+
+var
+  yd, yr, ye, nd, nr, pr, wd: integer;
+  nt, ut, fd, fr: boolean;
+  fmt: string;
+  tasks := new List<MethodInfo>(100);
+
+procedure Show(s: string);
+begin
+  MessageBox.Show(s, 'Error', MessageBoxButtons.OK, MessageBoxIcon.Error);
+end;
+
+function ErrorMessage(s: string): string;
+begin
+  result := Copy(s + new string(' ', 100), 1, 78);
+end;
+
+procedure ErrorInfo(s: string);
+begin
+  xPT4TaskMakerNET.TaskText('\B'+ErrorMessage(s)+'\b', 0, ye);
+  ye := ye + 1;
+  if ye > 5 then ye := 0;
+end;
+
+function CheckTT: boolean;
+begin
+  result := ut;
+  if not nt then
+  begin
+    NewTask('');
+    ErrorInfo(ErrMes5);
+  end;  
+end;
+
+function RandomName(len: integer): string;
+begin
+  result := ArrRandom(len, 1, alphabet.Length)
+    .Select(e -> alphabet[e]).JoinIntoString('');
+end;
+
+procedure SetPrecision(n: integer);
+begin
+  if CheckTT then exit;
+  if abs(n) > 10 then exit;
+  pr := n;
+  if n < 0 then
+  begin
+    fmt := 'e' + IntToStr(-n);
+    n := 0;
+  end
+  else if n = 0 then
+    fmt := 'e6'
+  else
+    fmt := 'f' + IntToStr(n); 
+  xPT4TaskMakerNET.SetPrecision(n);
+end;
+
+procedure SetWidth(n: integer);
+begin
+  if (n >= 0) and (n <= 20) then
+    wd := n;
+end;
+
+procedure NewTask(topic, tasktext: string);
+begin
+  if nt then exit;
+  xPT4TaskMakerNET.CreateTask(topic);
+  xPT4TaskMakerNET.TaskText(tasktext);
+  nt := true;  // вызвана процедура NewTask
+  ut := false; // было подключено существующее задание (процедурой UseTask)
+  ye := 1;     // текущий номер строки для вывода сообщения об ошибке
+  yd := 0;     // текущий номер строки в разделе исходных данных
+  yr := 0;     // текущий номер строки в разделе результатов
+  nd := 0;     // количество элементов исходных данных
+  nr := 0;     // количество элементов результирующих данных
+  fd := false; // наличие файловых данных в разделе исходных данных
+  fr := false; // наличие файловых данных в разделе результатов
+  pr := 2;     // текущая точность вывода вещественных данных
+  fmt := 'f2'; // текущий формат вывода вещественных данных
+  wd := 0;     // текущая ширина поля вывода для чисел
+end;
+
+function wreal(w: integer; x: real): integer;
+begin
+  result := w;
+  if w = 0 then
+  begin
+    result := Format('{0,0:' + fmt + '}', x).Length;
+    if (pr <= 0) and (x >= 0) then
+      result := result + 1;
+  end;
+end;
+
+function winteger(w: integer; x: integer): integer;
+begin
+  result := w;
+  if w = 0 then
+    result := IntToStr(x).Length;
+end;
+
+procedure NewTask(tasktext: string);
+begin
+  NewTask('', tasktext);
+end;
+
+procedure Data(s: string; a: object; x, y, w: integer);
+begin
+  if (y > 5) and fd then
+  begin
+    ErrorInfo(ErrMes2);
+    exit;  
+  end;
+  inc(nd);
+  if nd > 200 then
+  begin
+    ErrorInfo(ErrMes3);
+    exit;  
+  end;
+  if a is boolean then
+    DataB(s, boolean(a), x, y)
+  else if a is integer then
+    DataN(s, integer(a), x, y, winteger(w, integer(a)))
+  else if a is real then
+    DataR(s, real(a), x, y, wreal(w, real(a)))
+  else if a is char then
+    DataC(s, char(a), x, y)
+  else if a is string then
+    DataS(s, string(a), x, y)
+  else
+    DataComment(Copy(s + '!WrongType:' + a.GetType.Name, 1, 38), x, y);
+end;
+
+procedure Res(s: string; a: object; x, y, w: integer);
+begin
+  if (y > 5) and fr then
+  begin
+    ErrorInfo(ErrMes2);
+    exit;  
+  end;
+  inc(nr);
+  if nr > 200 then
+  begin
+    ErrorInfo(ErrMes4);
+    exit;  
+  end;
+  if a is boolean then
+    ResultB(s, boolean(a), x, y)
+  else if a is integer then
+    ResultN(s, integer(a), x, y, winteger(w, integer(a)))
+  else if a is real then
+    ResultR(s, real(a), x, y, wreal(w, real(a)))
+  else if a is char then
+    ResultC(s, char(a), x, y)
+  else if a is string then
+    ResultS(s, string(a), x, y)  
+  else
+    ResultComment(Copy(s + '!WrongType:' + a.GetType.Name, 1, 38), x, y);
+end;
+
+procedure DataComm(comm: string);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  DataComment(comm, 0, yd);
+end;
+
+procedure Data(comm: string; a: object);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  Data(comm, a, 0, yd, wd);
+end;
+
+procedure Data(comm1: string; a1: object; comm2: string);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  Data(comm1, a1, xLeft, yd, wd);
+  DataComment(comm2, xRight, yd);
+end;
+
+procedure Data(comm1: string; a1: object; comm2: string; a2: object);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  Data(comm1, a1, xLeft, yd, wd);
+  Data(comm2, a2, xRight, yd, wd);
+end;
+
+procedure Data(comm1: string; a1: object; comm2: string; a2: object; comm3: string);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  Data(comm1, a1, xLeft, yd, wd);
+  Data(comm2, a2, 0, yd, wd);
+  DataComment(comm3, xRight, yd);
+end;
+
+procedure Data(comm1: string; a1: object; comm2: string; a2: object; comm3: string; a3: object);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  Data(comm1, a1, xLeft, yd, wd);
+  Data(comm2, a2, 0, yd, wd);
+  Data(comm3, a3, xRight, yd, wd);
+end;
+
+procedure Data(seq: sequence of boolean);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yd);
+  var w := 5;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yd);
+      i := 1;
+    end;
+    Data('', e, Center(i, n, w, 2), yd, w);
+  end;  
+end;
+
+procedure Data(seq: sequence of integer);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yd);
+  var w := wd;
+  if w = 0 then
+    w := seq.Select(e -> IntToStr(e)).Max(e -> e.Length);
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yd);
+      i := 1;
+    end;
+    Data('', e, Center(i, n, w, 2), yd, w);
+  end;  
+end;
+
+procedure Data(seq: sequence of real);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yd);
+  var w := wd;
+  if w = 0 then
+    w := seq.Select(e -> wreal(0, e)(*Format('{0,0:'+fmt+'}', e)*)).Max;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yd);
+      i := 1;
+    end;
+    Data('', e, Center(i, n, w, 2), yd, w);
+  end;  
+end;
+
+procedure Data(seq: sequence of char);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yd);
+  var w := 3;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yd);
+      i := 1;
+    end;
+    Data('', e, Center(i, n, w, 2), yd, w);
+  end;  
+end;
+
+procedure Data(seq: sequence of string);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yd);
+  var w := seq.Max(e -> e.Length) + 2;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yd);
+      i := 1;
+    end;
+    Data('', e, Center(i, n, w, 2), yd, w);
+  end;  
+end;
+
+procedure ResComm(comm: string);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  ResultComment(comm, 0, yr);
+end;
+
+procedure Res(comm: string; a: object);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  Res(comm, a, 0, yr, wd);
+end;
+
+procedure Res(comm1: string; a1: object; comm2: string);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  Res(comm1, a1, xLeft, yr, wd);
+  ResultComment(comm2, xRight, yr);
+end;
+
+procedure Res(comm1: string; a1: object; comm2: string; a2: object);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  Res(comm1, a1, xLeft, yr, wd);
+  Res(comm2, a2, xRight, yr, wd);
+end;
+
+procedure Res(comm1: string; a1: object; comm2: string; a2: object; comm3: string);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  Res(comm1, a1, xLeft, yr, wd);
+  Res(comm2, a2, 0, yr, wd);
+  ResultComment(comm3, xRight, yr);
+end;
+
+procedure Res(comm1: string; a1: object; comm2: string; a2: object; comm3: string; a3: object);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  Res(comm1, a1, xLeft, yr, wd);
+  Res(comm2, a2, 0, yr, wd);
+  Res(comm3, a3, xRight, yr, wd);
+end;
+
+procedure Res(seq: sequence of boolean);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yr);
+  var w := 5;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yr);
+      i := 1;
+    end;
+    Res('', e, Center(i, n, w, 2), yr, w);
+  end;  
+end;
+
+procedure Res(seq: sequence of integer);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yr);
+  var w := wd;
+  if w = 0 then
+    w := seq.Select(e -> IntToStr(e)).Max(e -> e.Length);
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yr);
+      i := 1;
+    end;
+    Res('', e, Center(i, n, w, 2), yr, w);
+  end;  
+end;
+
+procedure Res(seq: sequence of real);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yr);
+  var w := wd;
+  if w = 0 then
+    w := seq.Select(e -> wreal(0, e)).Max;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yr);
+      i := 1;
+    end;
+    Res('', e, Center(i, n, w, 2), yr, w);
+  end;  
+end;
+
+procedure Res(seq: sequence of char);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yr);
+  var w := 3;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yr);
+      i := 1;
+    end;
+    Res('', e, Center(i, n, w, 2), yr, w);
+  end;  
+end;
+
+procedure Res(seq: sequence of string);
+begin
+  if CheckTT then exit;
+  var n := seq.Count;
+  if n = 0 then exit;
+  inc(yr);
+  var w := seq.Max(e -> e.Length) + 2;
+  var wmax := 80 div (w + 2);
+  if n > wmax then
+    n := wmax;
+  var i := 0;
+  foreach var e in seq do
+  begin
+    inc(i);
+    if i > wmax then
+    begin
+      inc(yr);
+      i := 1;
+    end;
+    Res('', e, Center(i, n, w, 2), yr, w);
+  end;  
+end;
+
+
+procedure ActivateNET(S: string);
+begin
+  xPT4TaskMakerNET.ActivateNET(S);
+end;
+
+procedure RunTask(num: integer);
+var ut0: boolean;
+begin
+  try
+    try
+    if (num > 0) and (num <= tasks.Count) then
+      tasks[num - 1].Invoke(nil, nil);
+    finally
+      nt := false;
+      ut0 := ut;
+      ut := false;
+    end;
+  except
+    on e: TargetInvocationException do
+    begin
+      ErrorInfo('Error ' 
+          + e.InnerException.GetType.Name + ': '
+          + e.InnerException.message);
+    end;
+  end;
+  if ut0 then exit;
+  if (nd = 0) and not fd then 
+    DataS('\B'+Copy(ErrorMessage(ErrMes6),1,76)+'\b', '', 1, 1);
+  if (nr = 0) and not fr then 
+    ResultS('\B'+Copy(ErrorMessage(ErrMes7),1,76)+'\b', '', 1, 1);
+end;
+
+function GetGroupName(assname: string; var libname: string): string;
+begin
+  libname := copy(assname, 1, pos(',', assname)-1);
+  result := libname;
+  var p := pos('_', libname);
+  if p > 0 then
+    delete(result, p, 100); // удаление суффикса, определяющего язык интерфейса
+  delete(result, 1, 4);     // удаление префикса xPT4
+end;
+
+function AcceptedLanguage(opt: integer): boolean;
+begin
+  var lang := CurrentLanguage;
+  result := (lang = lgPascalABCNET) 
+    or (opt and OptionAllLanguages = OptionAllLanguages) 
+    or (lang and lgNET <> 0) and (opt and OptionNETLanguages = OptionNETLanguages)
+    or (lang and lgPascal = lgPascal) and (opt and OptionPascalLanguages = OptionPascalLanguages);
+end;
+
+procedure NewGroup(GroupDescription, GroupAuthor: string; Options: integer);
+begin
+  NewGroup(GroupDescription, '', GroupAuthor, Options);
+end;
+
+procedure NewGroup(GroupDescription, GroupEnDescription, GroupAuthor: string; Options: integer);
+begin
+  if not AcceptedLanguage(Options) then 
+    exit; // недопустимый текущий язык
+  var ass := Assembly.GetCallingAssembly;
+  var LibName := '';
+  var GroupName := GetGroupName(ass.FullName, LibName);
+  tasks.Clear;
+  var GroupKey := 'GK';
+  foreach var e in ass.GetType(LibName + '.' + LibName).GetMethods.OrderBy(e -> e.Name.ToUpper) do  //2018.08
+    if e.Name.ToUpper.StartsWith('TASK') then
+    begin
+      tasks.Add(e);
+      GroupKey := GroupKey + Copy(e.Name, 5, 100);
+    end; 
+  if tasks.Count = 0 then
+  begin
+    Show('Группа ' + GroupName + ' не содержит заданий'#13#10+
+    '(имена процедур с заданиями должны начинаться с текста "Task").');
+    exit;
+  end;
+  if tasks.Count > 999 then
+  begin
+    Show('Группа ' + GroupName + ' содержит более 999 заданий.');
+    exit;
+  end;
+  GroupKey := Copy(GroupKey, 1, 30);
+  if Options and OptionUseAddition = OptionUseAddition then
+    GroupKey := GroupKey + '#UseAddition#';
+  if Options and OptionHideExamples = OptionHideExamples then
+    GroupKey := GroupKey + '#HideExamples#';
+  if GroupEnDescription.Trim <> '' then
+    GroupKey := GroupKey + '#EnTopic<' + GroupEnDescription.Trim + '>#';
+  CreateGroup(GroupName, GroupDescription, GroupAuthor, 
+      GroupKey, tasks.Count, RunTask);
+end;
+
+
+procedure SetTestCount(n: integer);
+begin
+  if CheckTT then exit;
+  xPT4TaskMakerNET.SetTestCount(n);
+end;
+
+procedure SetRequiredDataCount(n: integer);
+begin
+  if CheckTT then exit;
+  xPT4TaskMakerNET.SetRequiredDataCount(n);
+end;
+
+function Random(M, N: integer): integer;
+begin
+  result := xPT4TaskMakerNET.RandomN(M, N);
+end;
+
+function Random(A, B: real): real;
+begin
+  result := xPT4TaskMakerNET.RandomR(A, B);
+end;
+
+function Random1(A, B: real): real;
+begin
+  result := Random(Round(a*10), Round(b*10)) / 10
+     + Random * 1.0e-7;
+end;
+
+function Random2(A, B: real): real;
+begin
+  result := Random(Round(a*100), Round(b*100)) / 100
+     + Random * 1.0e-7;
+end;
+
+function CurrentTest: integer;
+begin
+  if CheckTT then exit;
+  result := xPT4TaskMakerNET.CurrentTest;
+end;
+
+procedure UseTask(GroupName: string; TaskNumber: integer);
+begin
+  if ut then exit;
+  xPT4TaskMakerNET.UseTask(GroupName, TaskNumber);
+  ut := true;
+end;
+
+procedure UseTask(GroupName: string; TaskNumber: integer; TopicDescription: string);
+begin
+  if ut then exit;
+  xPT4TaskMakerNET.UseTask(GroupName, TaskNumber, TopicDescription);
+  ut := true;
+end;
+
+function GetWords: array of string;
+begin
+  Result := ArrGen(WordCount, i -> WordSample(i));
+end;
+
+function RandomWord: string;
+begin
+  Result := WordSample(RandomN(0, WordCount - 1));
+end;
+
+function GetEnWords: array of string;
+begin
+  Result := ArrGen(EnWordCount, i -> EnWordSample(i));
+end;
+
+function RandomEnWord: string;
+begin
+  Result := EnWordSample(RandomN(0, EnWordCount - 1));
+end;
+
+function GetSentences: array of string;
+begin
+  Result := ArrGen(SentenceCount, i -> SentenceSample(i));
+end;
+
+function RandomSentence: string;
+begin
+  Result := SentenceSample(RandomN(0, SentenceCount - 1));
+end;
+
+function GetEnSentences: array of string;
+begin
+  Result := ArrGen(EnSentenceCount, i -> EnSentenceSample(i));
+end;
+
+function RandomEnSentence: string;
+begin
+  Result := EnSentenceSample(RandomN(0, EnSentenceCount - 1));
+end;
+
+function GetTexts: array of string;
+begin
+  Result := ArrGen(TextCount, i -> TextSample(i));
+end;
+
+function RandomText: string;
+begin
+  Result := TextSample(RandomN(0, TextCount - 1));
+end;
+
+function GetEnTexts: array of string;
+begin
+  Result := ArrGen(EnTextCount, i -> EnTextSample(i));
+end;
+
+function RandomEnText: string;
+begin
+  Result := EnTextSample(RandomN(0, EnTextCount - 1));
+end;
+
+procedure DataFileInteger(FileName: string);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  if yd > 5 then
+  begin
+    DataComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  var w := 0;
+  try
+    var f: file of integer;
+    Reset(f, FileName);
+    while not EOF(f) do
+    begin
+      var a: integer;
+      read(f, a);
+      var s := IntToStr(a);
+      if s.Length > w then
+        w := s.Length;
+    end;
+    Close(f);
+  except
+    on ex: Exception do
+    begin
+      DataComm('\B'+ErrorMessage('FileError(' + FileName + '): ' + ex.Message)+'\b');
+      exit;
+    end;  
+  end;
+  fd := true;
+  DataFileN(FileName, yd, w + 2);
+end;
+
+procedure DataFileReal(FileName: string);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  if yd > 5 then
+  begin
+    DataComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  var w := 0;
+  try
+    var f: file of real;
+    Reset(f, FileName);
+    while not EOF(f) do
+    begin
+      var a: real;
+      read(f, a);
+      var s := wreal(0, a);
+      if s > w then
+        w := s;
+    end;
+    Close(f);
+  except
+    on ex: Exception do
+    begin
+      DataComm('\B'+ErrorMessage('FileError(' + FileName + '): ' + ex.Message)+'\b');
+      exit;
+    end;  
+  end;
+  fd := true;
+  DataFileR(FileName, yd, w + 2);
+end;
+
+procedure DataFileChar(FileName: string);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  if yd > 5 then
+  begin
+    DataComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  fd := true;
+  DataFileC(FileName, yd, 5);
+end;
+
+procedure DataFileString(FileName: string);
+begin
+
+  if CheckTT then exit;
+  inc(yd);
+  if yd > 5 then
+  begin
+    DataComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  var w := 0;
+  try
+    var f: file of ShortString;
+    Reset(f, FileName);
+    while not EOF(f) do
+    begin
+      var a: ShortString;
+      read(f, a);
+      if Length(a) > w then
+        w := Length(a);
+    end;
+    Close(f);
+  except
+    on ex: Exception do
+    begin
+      DataComm('\B'+ErrorMessage('FileError(' + FileName + '): ' + ex.Message)+'\b');
+      exit;
+    end;  
+  end;
+  fd := true;
+  DataFileS(FileName, yd, w + 4);
+  
+end;
+
+procedure DataText(FileName: string; LineCount: integer);
+begin
+  if CheckTT then exit;
+  inc(yd);
+  if yd > 5 then
+  begin
+    DataComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  fd := true;
+  var yd2 := yd + LineCount - 1;
+  if yd2 > 5 then yd2 := 5;
+  DataFileT(FileName, yd, yd2);
+  yd := yd2;
+end;
+
+procedure ResFileInteger(FileName: string);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  if yr > 5 then
+  begin
+    ResComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  var w := 0;
+  try
+    var f: file of integer;
+    Reset(f, FileName);
+    while not EOF(f) do
+    begin
+      var a: integer;
+      read(f, a);
+      var s := IntToStr(a);
+      if s.Length > w then
+        w := s.Length;
+    end;
+    Close(f);
+  except
+    on ex: Exception do
+    begin
+      ResComm('\B'+ErrorMessage('FileError(' + FileName + '): ' + ex.Message)+'\b');
+      exit;
+    end;  
+  end;
+  fr := true;
+  ResultFileN(FileName, yr, w + 2);
+end;
+
+procedure ResFileReal(FileName: string);
+begin
+  if CheckTT then exit;
+  ResComm(fmt);
+  inc(yr);
+  if yr > 5 then
+  begin
+    ResComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  var w := 0;
+  try
+    var f: file of real;
+    Reset(f, FileName);
+    while not EOF(f) do
+    begin
+      var a: real;
+      read(f, a);
+      var s := wreal(0, a);
+      if s > w then
+        w := s;
+    end;
+    Close(f);
+  except
+    on ex: Exception do
+    begin
+      ResComm('\B'+ErrorMessage('FileError(' + FileName + '): ' + ex.Message)+'\b');
+      exit;
+    end;  
+  end;
+  fr := true;
+  ResultFileR(FileName, yr, w + 2);
+end;
+
+procedure ResFileChar(FileName: string);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  if yr > 5 then
+  begin
+    ResComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  fr := true;
+  ResultFileC(FileName, yr, 5);
+end;
+
+procedure ResFileString(FileName: string);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  if yr > 5 then
+  begin
+    ResComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  var w := 0;
+  try
+    var f: file of ShortString;
+    Reset(f, FileName);
+    while not EOF(f) do
+    begin
+      var a: ShortString;
+      read(f, a);
+      if Length(a) > w then
+        w := Length(a);
+    end;
+    Close(f);
+  except
+    on ex: Exception do
+    begin
+      ResComm('\B'+ErrorMessage('FileError(' + FileName + '): ' + ex.Message)+'\b');
+      exit;
+    end;  
+  end;
+  fr := true;
+  ResultFileS(FileName, yr, w + 4);
+end;
+
+procedure ResText(FileName: string; LineCount: integer);
+begin
+  if CheckTT then exit;
+  inc(yr);
+  if yr > 5 then
+  begin
+    ResComm('\B'+ErrorMessage(ErrMes1)+'\b');
+    exit;
+  end;
+  fr := true;
+  var yr2 := yr + LineCount - 1;
+  if yr2 > 5 then yr2 := 5;
+  ResultFileT(FileName, yr, yr2);
+  yr := yr2;
+end;
+
+end.
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/xPT4TaskMakerNET.pas b/TestSuite/CompilationSamples/xPT4TaskMakerNET.pas
new file mode 100644
index 000000000..98151f0e9
--- /dev/null
+++ b/TestSuite/CompilationSamples/xPT4TaskMakerNET.pas
@@ -0,0 +1,1233 @@
+{$reference System.Windows.Forms.dll}
+
+/// Конструктор для электронного задачника Programming Taskbook 4.23
+
+unit xPT4TaskMakerNET;
+
+//------------------------------------------------------------------------------
+// Конструктор для электронного задачника Programming Taskbook 4.23
+//------------------------------------------------------------------------------
+// Модуль для создания NET-библиотек с группами заданий в системе PascalABC.NET
+//
+// Copyright (c) 2013-2023 М.Э.Абрамян
+// Электронный задачник Programming Taskbook Copyright (c) М.Э.Абрамян,1998-2023
+//------------------------------------------------------------------------------
+
+
+interface
+
+const
+
+  xCenter = 0;
+  xLeft   = 100;
+  xRight  = 200;
+
+  SampleError = '#ERROR?';
+  MaxLineCount = 50;
+
+  lgPascal       = $0000001; 
+  lgPascalABCNET = $0000401; 
+  lgPascalNET    = $0000400;
+  lgPascalABCNET_flag 
+                 = $0000400; // добавлено в версии 4.14
+  lgVB           = $0000002;
+  lgCPP          = $0000004;
+  lg1C           = $0000040;
+  lgPython       = $0000080; 
+  lgPython3      = $1000080; // добавлено в версии 4.14
+  lgPython3_flag = $1000000; // добавлено в версии 4.14
+  lgCS           = $0000100;
+  lgVBNET        = $0000200;
+  lgJava         = $0010000; // добавлено в версии 4.11
+  lgRuby         = $0020000; // добавлено в версии 4.12
+  lgWithPointers = $000003D;
+  lgWithObjects  = $0FFFF80; // изменено в версии 4.22
+  lgNET          = $000FF00;
+  lgAll          = $0FFFFFF; // изменено в версии 4.10
+  lgFS           = $0000800; // добавлено в версии 4.19
+  lgJulia        = $0040000; // добавлено в версии 4.22
+  lgC            = $0000008; // добавлено в версии 4.23
+
+type
+
+/// Процедурный тип, используемый при создании групп заданий
+  TInitTaskProc = procedure(N: integer);
+
+/// Указатель на узел динамической структуры
+  PNode = ^TNode;
+
+/// Узел динамической структуры
+  TNode = record
+    Data: integer;
+    Next: PNode;
+    Prev: PNode;
+    Left: PNode;
+    Right: PNode;
+    Parent: PNode;
+  end;
+
+/// Добавляет к задачнику новую группу заданий с указанными характеристиками
+procedure CreateGroup(GroupName, GroupDescription, GroupAuthor, GroupKey: string;
+  TaskCount: integer; InitTaskProc: TInitTaskProc);
+
+/// Добавляет к создаваемой группе задание из другой группы
+procedure UseTask(GroupName: string; TaskNumber: integer);
+
+/// Добавляет к создаваемой группе задание из другой группы
+procedure UseTask(GroupName: string; TaskNumber: integer; TopicDescription: string); // добавлено в версии 4.19
+
+/// Должна указываться первой при определении нового задания
+procedure CreateTask(SubgroupName: string); overload;
+
+
+/// Должна указываться первой при определении нового задания
+procedure CreateTask; overload;
+
+/// Должна указываться первой при определении нового задания
+/// (вариант для параллельного режима задачника)
+procedure CreateTask(SubgroupName: string; var ProcessCount: integer); overload;
+
+/// Должна указываться первой при определении нового задания
+/// (вариант для параллельного режима задачника)
+procedure CreateTask(var ProcessCount: integer); overload;
+
+/// Позволяет определить текущий язык программирования, выбранный для задачника
+/// Возвращает значения, связанные с константами lgXXX
+function CurrentLanguage: integer;
+
+/// Возвращает двухбуквенную строку с описанием текущей локали
+/// (в даной версии возвращается либо 'ru', либо 'en')
+function CurrentLocale: string;
+
+/// Возвращает номер текущей версии задачника в формате 'd.dd'
+/// (для версий, меньших 4.10, возвращает '4.00')
+function CurrentVersion: string;  // добавлено в версии 4.10
+
+//-----------------------------------------------------------------------------
+
+/// Добавляет к формулировке задания строку
+procedure TaskText(S: string; X, Y: integer);
+
+/// Определяет все строки формулировки задания
+/// (в параметре S отдельные строки формулировки
+/// должны разделяться символами #13, #10 или парой #13#10;
+/// начальные и конечные пробелы в строках удаляются, 
+/// пустые строки в формулировку не включаются)
+procedure TaskText(S: string); // добавлено в версии 4.11
+
+//-----------------------------------------------------------------------------
+
+/// Добавляет к исходным данным элемент логического типа с комментарием
+procedure DataB(Cmt: string; B: boolean; X, Y: integer);
+
+/// Добавляет к исходным данным элемент логического типа
+procedure DataB(B: boolean; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным целочисленный элемент с комментарием
+procedure DataN(Cmt: string; N: integer; X, Y, W: integer);
+
+/// Добавляет к исходным данным целочисленный элемент
+procedure DataN(N: integer; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным два целочисленных элемента с общим комментарием
+procedure DataN2(Cmt: string; N1, N2: integer; X, Y, W: integer);
+
+/// Добавляет к исходным данным два целочисленных элемента
+procedure DataN2(N1, N2: integer; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным три целочисленных элемента с общим комментарием
+procedure DataN3(Cmt: string; N1, N2, N3: integer; X, Y, W: integer);
+
+/// Добавляет к исходным данным три целочисленных элемента
+procedure DataN3(N1, N2, N3: integer; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным вещественный элемент с комментарием
+procedure DataR(Cmt: string; R: real; X, Y, W: integer);
+
+/// Добавляет к исходным данным вещественный элемент
+procedure DataR(R: real; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным два вещественных элемента с общим комментарием
+procedure DataR2(Cmt: string; R1, R2: real; X, Y, W: integer);
+
+/// Добавляет к исходным данным два вещественных элемента
+procedure DataR2(R1, R2: real; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным три вещественных элемента с общим комментарием
+procedure DataR3(Cmt: string; R1, R2, R3: real; X, Y, W: integer);
+
+/// Добавляет к исходным данным три вещественных элемента
+procedure DataR3(R1, R2, R3: real; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным символьный элемент с комментарием
+procedure DataC(Cmt: string; C: char; X, Y: integer);
+
+/// Добавляет к исходным данным символьный элемент
+procedure DataC(C: char; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным строковый элемент с комментарием
+procedure DataS(Cmt: string; S: string; X, Y: integer);
+
+/// Добавляет к исходным данным строковый элемент
+procedure DataS(S: string; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет к исходным данным элемент типа PNode с комментарием
+procedure DataP(Cmt: string; NP: integer; X, Y: integer);
+
+/// Добавляет к исходным данным элемент типа PNode
+procedure DataP(NP: integer; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет комментарий в область исходных данных
+procedure DataComment(Cmt: string; X, Y: integer);
+
+//-----------------------------------------------------------------------------
+
+/// Добавляет к результирующим данным элемент логического типа с комментарием
+procedure ResultB(Cmt: string; B: boolean; X, Y: integer);
+
+/// Добавляет к результирующим данным элемент логического типа
+procedure ResultB(B: boolean; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным целочисленный элемент с комментарием
+procedure ResultN(Cmt: string; N: integer; X, Y, W: integer);
+
+/// Добавляет к результирующим данным целочисленный элемент
+procedure ResultN(N: integer; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным два целочисленных элемента с общим комментарием
+procedure ResultN2(Cmt: string; N1, N2: integer; X, Y, W: integer);
+
+/// Добавляет к результирующим данным два целочисленных элемента
+procedure ResultN2(N1, N2: integer; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным три целочисленных элемента с общим комментарием
+procedure ResultN3(Cmt: string; N1, N2, N3: integer; X, Y, W: integer);
+
+/// Добавляет к результирующим данным три целочисленных элемента
+procedure ResultN3(N1, N2, N3: integer; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным вещественный элемент с комментарием
+procedure ResultR(Cmt: string; R: real; X, Y, W: integer);
+
+/// Добавляет к результирующим данным вещественный элемент
+procedure ResultR(R: real; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным два вещественных элемента с общим комментарием
+procedure ResultR2(Cmt: string; R1, R2: real; X, Y, W: integer);
+
+/// Добавляет к результирующим данным два вещественных элемента
+procedure ResultR2(R1, R2: real; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным три вещественных элемента с общим комментарием
+procedure ResultR3(Cmt: string; R1, R2, R3: real; X, Y, W: integer);
+
+/// Добавляет к результирующим данным три вещественных элемента
+procedure ResultR3(R1, R2, R3: real; X, Y, W: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным символьный элемент с комментарием
+procedure ResultC(Cmt: string; C: char; X, Y: integer);
+
+/// Добавляет к результирующим данным символьный элемент
+procedure ResultC(C: char; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным строковый элемент с комментарием
+procedure ResultS(Cmt: string; S: string; X, Y: integer);
+
+/// Добавляет к результирующим данным строковый элемент
+procedure ResultS(S: string; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет к результирующим данным элемент типа PNode с комментарием
+procedure ResultP(Cmt: string; NP: integer; X, Y: integer);
+
+/// Добавляет к результирующим данным элемент типа PNode
+procedure ResultP(NP: integer; X, Y: integer); // добавлено в версии 4.11
+
+/// Добавляет комментарий в область результирующих данных
+procedure ResultComment(Cmt: string; X, Y: integer);
+
+//-----------------------------------------------------------------------------
+
+/// Задает число дробных знаков при отображении вещественных чисел
+procedure SetPrecision(N: integer);
+
+/// Задает число исходных данных, минимально необходимое
+/// для нахождения правильных результирующих данных
+procedure SetRequiredDataCount(N: integer);
+
+/// Задает число тестовых испытаний (от 2 до 9), при успешном
+/// прохождении которых задание будет считаться выполненным
+procedure SetTestCount(N: integer);
+
+/// Возвращает горизонтальную координату, начиная с которой следует выводить I-й элемент из набора,
+/// содержащего N элементов, при условии, что ширина каждого элемента равна W, а между элементами
+/// надо указывать B пробелов (элементы нумеруются от 1)
+function Center(I, N, W, B: integer): integer;
+
+/// Возвращает случайное целое число, лежащее
+/// в диапазоне от M до N включительно. Если указанный
+/// диапазон пуст, то возвращает M.
+function RandomN(M, N: integer): integer; // добавлено в версии 4.11
+
+/// Возвращает случайное вещественное число, лежащее
+/// на полуинтервале [A, B). Если указанный полуинтервал
+/// пуст, то возвращает A.
+function RandomR(A, B: real): real; // добавлено в версии 4.11
+
+/// Возвращает порядковый номер текущего тестового запуска
+/// (учитываются только успешные тестовые запуски). Если ранее успешных
+/// запусков не было, то возвращает 1. Если задание уже выполнено
+/// или запущено в демонстрационном режиме, то возвращает 0.
+/// При использовании предыдущих версий задачника (до 4.10 включительно)
+/// всегда возвращает 0.
+function CurrentTest: integer; // добавлено в версии 4.11
+
+//-----------------------------------------------------------------------------
+
+/// Добавляет к исходным данным двоичный файл с целочисленными элементами (file of integer)
+procedure DataFileN(FileName: string; Y, W: integer);
+
+/// Добавляет к исходным данным двоичный файл с вещественными элементами (file of real)
+procedure DataFileR(FileName: string; Y, W: integer);
+
+/// Добавляет к исходным данным двоичный файл с символьными элементами (file of char)
+procedure DataFileC(FileName: string; Y, W: integer);
+
+/// Добавляет к исходным данным двоичный файл со строковыми элементами (file of ShortString)
+procedure DataFileS(FileName: string; Y, W: integer);
+
+/// Добавляет к исходным данным текстовый файл
+procedure DataFileT(FileName: string; Y1, Y2: integer);
+
+//-----------------------------------------------------------------------------
+
+/// Добавляет к результирующим данным двоичный файл с целочисленными элементами (file of integer)
+procedure ResultFileN(FileName: string; Y, W: integer);
+
+/// Добавляет к результирующим данным двоичный файл с вещественными элементами (file of real)
+procedure ResultFileR(FileName: string; Y, W: integer);
+
+/// Добавляет к результирующим данным двоичный файл с символьными элементами (file of char)
+procedure ResultFileC(FileName: string; Y, W: integer);
+
+/// Добавляет к результирующим данным двоичный файл со строковыми элементами (file of ShortString)
+procedure ResultFileS(FileName: string; Y, W: integer);
+
+/// Добавляет к результирующим данным текстовый файл
+procedure ResultFileT(FileName: string; Y1, Y2: integer);
+
+//-----------------------------------------------------------------------------
+
+/// Связывает номер NP с указателем P
+procedure SetPointer(NP: integer; P: PNode);
+
+/// Добавляет к исходным данным линейную динамическую структуру
+procedure DataList(NP: integer; X, Y: integer);
+
+/// Добавляет к результирующим данным линейную динамическую структуру
+procedure ResultList(NP: integer; X, Y: integer);
+
+/// Добавляет к исходным данным бинарное дерево
+procedure DataBinTree(NP: integer; X, Y1, Y2: integer);
+
+/// Добавляет к результирующим данным бинарное дерево
+procedure ResultBinTree(NP: integer; X, Y1, Y2: integer);
+
+/// Добавляет к исходным данным дерево общего вида
+procedure DataTree(NP: integer; X, Y1, Y2: integer);
+
+/// Добавляет к результирующим данным дерево общего вида
+procedure ResultTree(NP: integer; X, Y1, Y2: integer);
+
+/// Отображает в текущей динамической структуре указатель с номером NP
+procedure ShowPointer(NP: integer);
+
+/// Помечает в текущей результирующей динамической структуре указатель, требующий создания
+procedure SetNewNode(NNode: integer);
+
+/// Помечает в текущей исходной динамической структуре указатель, требующий удаления
+procedure SetDisposedNode(NNode: integer);
+
+//-----------------------------------------------------------------------------
+
+/// Возвращает количество слов-образцов для языка, соответствующего текущей локали
+function WordCount: integer;     //116
+
+/// Возвращает количество предложений-образцов для языка, соответствующего текущей локали
+function SentenceCount: integer; //61
+
+/// Возвращает количество текстов-образцов для языка, соответствующего текущей локали
+function TextCount: integer;     //85
+
+/// Возвращает слово-образец с номером N (нумерация от 0) для языка, соответствующего текущей локали
+function WordSample(N: integer): string;
+
+/// Возвращает предложение-образец с номером N (нумерация от 0) для языка, соответствующего текущей локали
+function SentenceSample(N: integer): string;
+
+/// Возвращает текст-образец с номером N (нумерация от 0) для языка, соответствующего текущей локали,
+/// между строками текста располагаются символы #13#10, в конце текста эти символы отсутствуют,
+/// число строк не превышает MaxLineCount, между абзацами текста помещается одна пустая строка
+function TextSample(N: integer): string;
+
+//-----------------------------------------------------------------------------
+
+/// Возвращает количество английских слов-образцов
+function EnWordCount: integer;     //116
+
+/// Возвращает количество английских предложений-образцов
+function EnSentenceCount: integer; //61
+
+/// Возвращает количество английских текстов-образцов
+function EnTextCount: integer;     //85
+
+/// Возвращает английское слово-образец с номером N (нумерация от 0)
+function EnWordSample(N: integer): string;
+
+/// Возвращает английское предложение-образец с номером N (нумерация от 0)
+function EnSentenceSample(N: integer): string;
+
+/// Возвращает английский текст-образец с номером N (нумерация от 0),
+/// между строками текста располагаются символы #13#10, в конце текста эти символы отсутствуют,
+/// число строк не превышает MaxLineCount, между абзацами текста помещается одна пустая строка
+function EnTextSample(N: integer): string;
+
+//-----------------------------------------------------------------------------
+
+/// Добавляет строку комментария к текущей группе или подгруппе заданий
+procedure CommentText(S: string);
+
+/// Добавляет комментарий из другой группы заданий (или ее подгруппы,
+/// если ее второй параметр не является пустой строкой)
+procedure UseComment(GroupName, SubgroupName: string); overload;
+
+/// Добавляет комментарий из другой группы заданий
+procedure UseComment(GroupName: string); overload;
+
+/// Устанавливает режим добавления комментария к подгруппе заданий
+procedure Subgroup(SubgroupName: string);
+
+//-----------------------------------------------------------------------------
+
+/// Процедура, обеспечивающая отображение динамических структур данных
+/// в "объектном стиле" при выполнении заданий в среде PascalABC.NET
+/// (при использовании других сред не выполняет никаких действий)
+procedure SetObjectStyle;
+
+//-----------------------------------------------------------------------------
+
+/// Процедура для внутреннего использования; она должна быть вызвана
+/// из процедуры с именем activate (с маленькой буквы) в любой 
+/// библиотеке NET с группой заданий (процедура activate имеет
+/// тот же строковый параметр S, что и процедура ActivateNET)
+procedure ActivateNET(S: string);
+
+//-----------------------------------------------------------------------------
+
+/// Устанавливает текущий процесс для последующей передачи ему данных 
+/// числовых типов (при выполнении задания в параллельном режиме)
+procedure SetProcess(ProcessRank: integer);
+
+//-----------------------------------------------------------------------------
+
+implementation
+
+uses System.Runtime.InteropServices, System.Text;
+
+function LoadLibrary(FileName: string): integer;
+  external 'kernel32.dll' Name 'LoadLibrary';
+
+function GetProcAddress(handle: integer; ProcName: string): System.IntPtr;
+  external 'kernel32.dll' Name 'GetProcAddress';
+ 
+function FreeLibrary(handle: integer): boolean;
+  external 'kernel32.dll' Name 'FreeLibrary';
+
+function MessageBox(hWnd: integer; lpText, lpCaption: string; uType: integer): Integer;
+  external 'user32.dll' Name 'MessageBoxA';
+
+type TTaskText = procedure (s: string);
+     TCreateGroup = procedure (GroupName: string; InitTaskProc: TInitTaskProc);   
+
+type
+  TNFunc = function : integer;
+  TNFuncN4 = function (N1, N2, N3, N4: integer): integer;
+  TProcSb = procedure (S: StringBuilder);
+  TProcNSb = procedure (N: integer; S: StringBuilder);
+  TProc = procedure;
+  TProcS = procedure (S: array of byte);
+  TProcSCN2 = procedure (S: array of byte; C: Char; N1, N2: integer);
+  TProcSN = procedure (S: array of byte; N: integer); 
+  TProcSN2 = procedure (S: array of byte; N1, N2: integer);
+  TProcSN3 = procedure (S: array of byte; N1, N2, N3: integer);
+  TProcSN4 = procedure (S: array of byte; N1, N2, N3, N4: integer);
+  TProcSN5 = procedure (S: array of byte; N1, N2, N3, N4, N5: integer);
+  TProcSN6 = procedure (S: array of byte; N1, N2, N3, N4, N5, N6: integer);
+  TProcSRN3 = procedure (S: array of byte; R: real; N1, N2, N3: integer);
+  TProcSR2N3 = procedure (S: array of byte; R1, R2: real; N1, N2, N3: integer);
+  TProcSR3N3 = procedure (S: array of byte; R1, R2, R3: real; N1, N2, N3: integer);
+  TProcS2 = procedure (S1, S2: array of byte);
+  TProcS2N2 = procedure (S1, S2: array of byte; N1, N2: integer);
+  TProcS4NP = procedure (S1, S2, S3, S4: array of byte; N: integer; P: TInitTaskProc);
+  TProcN = procedure (N: integer);
+  TProcNP = procedure (N: integer; P: pointer);
+  TProcN3 = procedure (N1, N2, N3: integer);
+  TProcN4 = procedure (N1, N2, N3, N4: integer);
+  TProcSvN = procedure (S: array of byte; var N: integer);
+  TProcSNS = procedure (S1: array of byte; N: integer; S2: array of byte);
+
+var
+  creategroup_: TProcS4NP;
+  usetask_: TProcSN;
+  createtask_: TProcS;
+  currentlanguage_: TNFunc;
+  currentlocale_: TProcSb;
+  tasktext_: TProcSN2;
+  datab_, resultb_: TProcSN3;
+  datan_, resultn_: TProcSN4;
+  datan2_, resultn2_: TProcSN5;
+  datan3_, resultn3_: TProcSN6;
+  datar_, resultr_: TProcSRN3;
+  datar2_, resultr2_: TProcSR2N3;
+  datar3_, resultr3_: TProcSR3N3;
+  datac_, resultc_: TProcSCN2;
+  datas_, results_: TProcS2N2;
+  datap_, resultp_: TProcSN3;
+  datacomment_, resultcomment_: TProcSN2;
+  setprecision_, settestcount_, setrequireddatacount_: TProcN;
+  center_: TNFuncN4;
+  datafilen_, datafiler_, datafilec_, datafiles_, datafilet_: TProcSN2;
+  resultfilen_, resultfiler_, resultfilec_, resultfiles_, resultfilet_: TProcSN2;
+  setpointer_: TProcNP;
+  datalist_, resultlist_: TProcN3;
+  databintree_, datatree_, resultbintree_, resulttree_: TProcN4;
+  showpointer_, setnewnode_, setdisposednode_: TProcN;
+  wordcount_, sentencecount_, textcount_: TNFunc;
+  enwordcount_, ensentencecount_, entextcount_: TNFunc;
+  wordsample_, sentencesample_, textsample_: TProcNSb;
+  enwordsample_, ensentencesample_, entextsample_: TProcNSb;
+  commenttext_: TProcS;
+  usecomment_: TProcS2;
+  subgroup_{, registergroup_}: TProcS; // удалено в версии 4.11
+  setobjectstyle_: TProc;
+  createtask2_: TProcSvN;
+  setprocess_: TProcN;
+  currentversion_: TProcSb; // добавлено в версии 4.10
+  currenttest_: TNFunc; // добавлено в версии 4.11
+  usetaskex_: TProcSNS; // добавлено в версии 4.19
+
+  FHandle: integer;
+
+function ToBytes(s: string): array of byte;
+begin
+  var utf8 := Encoding.Unicode;
+  var ansi := Encoding.GetEncoding(1251);
+  result := Encoding.Convert(utf8, ansi, utf8.GetBytes(S));
+end;
+
+procedure ActivateNET(S: string);
+begin
+  FHandle := LoadLibrary(S);
+  creategroup_ := TProcS4NP(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'creategroup'), typeof(TProcS4NP)));
+  usetask_ := TProcSN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'usetask'), typeof(TProcSN)));
+  createtask_ := TProcS(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'createtask'), typeof(TProcS)));
+  currentlanguage_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'currentlanguage'), typeof(TNFunc)));
+  currentlocale_ := TProcSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'currentlocale2'), typeof(TProcSb)));
+  tasktext_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'tasktext'), typeof(TProcSN2)));
+  datab_ := TProcSN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datab'), typeof(TProcSN3)));
+  datan_ := TProcSN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datan'), typeof(TProcSN4)));
+  datan2_ := TProcSN5(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datan2'), typeof(TProcSN5)));
+  datan3_ := TProcSN6(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datan3'), typeof(TProcSN6)));
+  datar_ := TProcSRN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datar'), typeof(TProcSRN3)));
+  datar2_ := TProcSR2N3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datar2'), typeof(TProcSR2N3)));
+  datar3_ := TProcSR3N3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datar3'), typeof(TProcSR3N3)));
+  datac_ := TProcSCN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datac'), typeof(TProcSCN2)));
+  datas_ := TProcS2N2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datas'), typeof(TProcS2N2)));
+  datap_ := TProcSN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datap'), typeof(TProcSN3)));
+  datacomment_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datacomment'), typeof(TProcSN2)));
+  resultb_ := TProcSN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultb'), typeof(TProcSN3)));
+  resultn_ := TProcSN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultn'), typeof(TProcSN4)));
+  resultn2_ := TProcSN5(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultn2'), typeof(TProcSN5)));
+  resultn3_ := TProcSN6(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultn3'), typeof(TProcSN6)));
+  resultr_ := TProcSRN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultr'), typeof(TProcSRN3)));
+  resultr2_ := TProcSR2N3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultr2'), typeof(TProcSR2N3)));
+  resultr3_ := TProcSR3N3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultr3'), typeof(TProcSR3N3)));
+  resultc_ := TProcSCN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultc'), typeof(TProcSCN2)));
+  results_ := TProcS2N2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'results'), typeof(TProcS2N2)));
+  resultp_ := TProcSN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultp'), typeof(TProcSN3)));
+  resultcomment_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultcomment'), typeof(TProcSN2)));
+  setprecision_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setprecision'), typeof(TProcN)));
+  settestcount_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'settestcount'), typeof(TProcN)));
+  setrequireddatacount_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setrequireddatacount'), typeof(TProcN)));
+  center_ := TNFuncN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'center'), typeof(TNFuncN4)));
+  datafilen_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datafilen'), typeof(TProcSN2)));
+  datafiler_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datafiler'), typeof(TProcSN2)));
+  datafilec_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datafilec'), typeof(TProcSN2)));
+  datafiles_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datafiles'), typeof(TProcSN2)));
+  datafilet_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datafilet'), typeof(TProcSN2)));
+  resultfilen_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultfilen'), typeof(TProcSN2)));
+  resultfiler_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultfiler'), typeof(TProcSN2)));
+  resultfilec_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultfilec'), typeof(TProcSN2)));
+  resultfiles_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultfiles'), typeof(TProcSN2)));
+  resultfilet_ := TProcSN2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultfilet'), typeof(TProcSN2)));
+  setpointer_ := TProcNP(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setpointer'), typeof(TProcNP)));
+  datalist_ := TProcN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datalist'), typeof(TProcN3)));
+  resultlist_ := TProcN3(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultlist'), typeof(TProcN3)));
+  databintree_ := TProcN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'databintree'), typeof(TProcN4)));
+  datatree_ := TProcN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'datatree'), typeof(TProcN4)));
+  resultbintree_ := TProcN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resultbintree'), typeof(TProcN4)));
+  resulttree_ := TProcN4(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'resulttree'), typeof(TProcN4)));
+  showpointer_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'showpointer'), typeof(TProcN)));
+  setnewnode_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setnewnode'), typeof(TProcN)));
+  setdisposednode_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setdisposednode'), typeof(TProcN)));
+  wordcount_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'wordcount'), typeof(TNFunc)));
+  sentencecount_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'sentencecount'), typeof(TNFunc)));
+  textcount_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'textcount'), typeof(TNFunc)));
+  wordsample_ := TProcNSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'wordsample2'), typeof(TProcNSb)));
+  sentencesample_ := TProcNSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'sentencesample2'), typeof(TProcNSb)));
+  textsample_ := TProcNSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'textsample2'), typeof(TProcNSb)));
+  enwordcount_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'enwordcount'), typeof(TNFunc)));
+  ensentencecount_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'ensentencecount'), typeof(TNFunc)));
+  entextcount_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'entextcount'), typeof(TNFunc)));
+  enwordsample_ := TProcNSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'enwordsample2'), typeof(TProcNSb)));
+  ensentencesample_ := TProcNSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'ensentencesample2'), typeof(TProcNSb)));
+  entextsample_ := TProcNSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'entextsample2'), typeof(TProcNSb)));
+  commenttext_ := TProcS(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'commenttext'), typeof(TProcS)));
+  usecomment_ := TProcS2(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'usecomment'), typeof(TProcS2)));
+  subgroup_ := TProcS(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'subgroup'), typeof(TProcS)));
+//  registergroup_ := TProcS(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'registergroup'), typeof(TProcS)));
+  setobjectstyle_ := TProc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setobjectstyle'), typeof(TProc)));
+  createtask2_ := TProcSvN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'createtask2'), typeof(TProcSvN)));
+  setprocess_ := TProcN(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'setprocess'), typeof(TProcN)));
+  currentversion_ := TProcSb(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'currentversion2'), typeof(TProcSb))); // добавлено в версии 4.10
+  currenttest_ := TNFunc(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'curt'), typeof(TNFunc))); // добавлено в версии 4.11
+  usetaskex_ := TProcSNS(Marshal.GetDelegateForFunctionPointer(GetProcAddress(FHandle, 'usetaskex'), typeof(TProcSNS))); // добавлено в версии 4.19
+
+end;
+
+//=============================================================================
+
+var p: TInitTaskProc := nil;
+
+procedure CreateGroup(GroupName, GroupDescription, GroupAuthor, GroupKey: string;
+  TaskCount: integer; InitTaskProc: TInitTaskProc);
+begin
+  p := InitTaskProc;
+  creategroup_(ToBytes(GroupName), ToBytes(GroupDescription), ToBytes(GroupAuthor),
+    ToBytes(GroupKey), TaskCount, p);
+end;
+
+procedure UseTask(GroupName: string; TaskNumber: integer);
+begin
+  usetask_(ToBytes(GroupName), TaskNumber);
+end;
+
+procedure UseTask(GroupName: string; TaskNumber: integer; TopicDescription: string);
+begin
+  if usetaskex_ <> nil then
+    usetaskex_(ToBytes(GroupName), TaskNumber, ToBytes(TopicDescription))
+  else  
+    usetask_(ToBytes(GroupName), TaskNumber);
+end;
+
+procedure CreateTask(SubgroupName: string);
+begin
+  createtask_(ToBytes(SubgroupName));
+end;
+
+procedure CreateTask;
+begin
+  CreateTask('');
+end;
+
+
+
+
+
+
+
+
+
+
+function CurrentLanguage: integer;
+begin
+  result := currentlanguage_;
+end;
+
+function CurrentLocale: string;
+begin
+  var S := new StringBuilder(100);
+  currentlocale_(S);
+  result := S.ToString;
+end;
+
+procedure TaskText(S: string; X, Y: integer);
+begin
+  tasktext_(ToBytes(S), X, Y);
+end;
+
+procedure TaskText(S: string);
+var 
+  p1, p2: array[1..205] of integer;
+  n, i, k, l: integer;
+  m: set of char;  
+begin
+  n := 0;
+  m := [#13, #10];
+  l := Length(S);
+  i := 1;
+  while i <= l do
+  begin
+    if not (S[i] in m) and ((i = 1) or (S[i-1] in m)) 
+      and (n < 205) then
+    begin
+      while (i <= l) and (S[i] = ' ') do
+        Inc(i);
+      if (i <= l) and not (S[i] in m) then
+      begin
+        Inc(n);  
+        p1[n] := i;
+      end;
+    end;
+    if i > l then break;
+    if not (S[i] in m) and ((i = l) or (S[i+1] in m)) then
+    begin
+      k := i;
+      if S[k] = ' ' then
+      begin
+        while S[k] = ' ' do
+          Dec(k);
+        if (S[k] = '\') and ((k = 1) or (S[k-1] <> '\')) then
+          Inc(k);
+      end;
+      p2[n] := k - p1[n] + 1;
+      if n = 205 then break;
+    end;
+    Inc(i);
+  end;
+  case n of
+  0: ;
+  1: tasktext(Copy(S, p1[1], p2[1]), 0, 3);
+  2: for i := 1 to n do
+       tasktext(Copy(S, p1[i], p2[i]), 0, 2*i);
+  3, 4:
+     for i := 1 to n do
+       tasktext(Copy(S, p1[i], p2[i]), 0, i+1);
+  else
+     begin
+       for i := 1 to 5 do
+         tasktext(Copy(S, p1[i], p2[i]), 0, i);
+       for i := 6 to n do
+         tasktext(Copy(S, p1[i], p2[i]), 0, 0);
+     end;
+  end;
+end;
+
+function BtoN(B: boolean): integer;
+begin
+  if B then
+    result := 1
+  else
+    result := 0;
+end;
+
+procedure DataB (Cmt: string; B: boolean; X, Y: integer);
+begin
+  datab_(ToBytes(Cmt), BtoN(B), X, Y);
+end;
+
+procedure DataB (B: boolean; X, Y: integer);
+begin
+  datab_(ToBytes(''), BtoN(B), X, Y);
+end;
+
+procedure DataN (Cmt: string; N: integer; X, Y, W: integer);
+begin
+  datan_(ToBytes(Cmt), N, X, Y, W);
+end;
+
+procedure DataN (N: integer; X, Y, W: integer);
+begin
+  datan_(ToBytes(''), N, X, Y, W);
+end;
+
+procedure DataN2(Cmt: string; N1, N2: integer; X, Y, W: integer);
+begin
+  datan2_(ToBytes(Cmt), N1, N2,  X, Y, W);
+end;
+
+procedure DataN2(N1, N2: integer; X, Y, W: integer);
+begin
+  datan2_(ToBytes(''), N1, N2,  X, Y, W);
+end;
+
+procedure DataN3(Cmt: string; N1, N2, N3: integer; X, Y, W: integer);
+begin
+  datan3_(ToBytes(Cmt), N1, N2, N3, X, Y, W);
+end;
+
+procedure DataN3(N1, N2, N3: integer; X, Y, W: integer);
+begin
+  datan3_(ToBytes(''), N1, N2, N3, X, Y, W);
+end;
+
+procedure DataR(Cmt: string; R: real; X, Y, W: integer);
+begin
+  datar_(ToBytes(Cmt), R, X, Y, W);
+end;
+
+procedure DataR(R: real; X, Y, W: integer);
+begin
+  datar_(ToBytes(''), R, X, Y, W);
+end;
+
+procedure DataR2(Cmt: string; R1, R2: real; X, Y, W: integer);
+begin
+  datar2_(ToBytes(Cmt), R1, R2, X, Y, W);
+end;
+
+procedure DataR2(R1, R2: real; X, Y, W: integer);
+begin
+  datar2_(ToBytes(''), R1, R2, X, Y, W);
+end;
+
+procedure DataR3(Cmt: string; R1, R2, R3: real; X, Y, W: integer);
+begin
+  datar3_(ToBytes(Cmt), R1, R2, R3, X, Y, W);
+end;
+
+procedure DataR3(R1, R2, R3: real; X, Y, W: integer);
+begin
+  datar3_(ToBytes(''), R1, R2, R3, X, Y, W);
+end;
+
+procedure DataC(Cmt: string; C: char; X, Y: integer);
+begin
+  datac_(ToBytes(Cmt), C, X, Y);
+end;
+
+procedure DataC(C: char; X, Y: integer);
+begin
+  datac_(ToBytes(''), C, X, Y);
+end;
+
+procedure DataS(Cmt: string; S: string; X, Y: integer);
+begin
+  datas_(ToBytes(Cmt), ToBytes(S), X, Y);
+end;
+
+procedure DataS(S: string; X, Y: integer);
+begin
+  datas_(ToBytes(''), ToBytes(S), X, Y);
+end;
+
+procedure DataP(Cmt: string; NP: integer; X, Y: integer);
+begin
+  datap_ (ToBytes(Cmt), NP, X, Y);
+end;
+
+procedure DataP(NP: integer; X, Y: integer);
+begin
+  datap_ (ToBytes(''), NP, X, Y);
+end;
+
+procedure DataComment(Cmt: string; X, Y: integer);
+begin
+  datacomment_(ToBytes(Cmt), X, Y);
+end;
+
+procedure ResultB(Cmt: string; B: boolean; X, Y: integer);
+begin
+  resultb_(ToBytes(Cmt), BtoN(B), X, Y);
+end;
+
+procedure ResultB(B: boolean; X, Y: integer);
+begin
+  resultb_(ToBytes(''), BtoN(B), X, Y);
+end;
+
+procedure ResultN(Cmt: string; N: integer; X, Y, W: integer);
+begin
+  resultn_(ToBytes(Cmt), N, X, Y, W);
+end;
+
+procedure ResultN(N: integer; X, Y, W: integer);
+begin
+  resultn_(ToBytes(''), N, X, Y, W);
+end;
+
+procedure ResultN2(Cmt: string; N1, N2: integer; X, Y, W: integer);
+begin
+  resultn2_(ToBytes(Cmt), N1, N2, X, Y, W);
+end;
+
+procedure ResultN2(N1, N2: integer; X, Y, W: integer);
+begin
+  resultn2_(ToBytes(''), N1, N2, X, Y, W);
+end;
+
+procedure ResultN3(Cmt: string; N1, N2, N3: integer; X, Y, W: integer);
+begin
+  resultn3_(ToBytes(Cmt), N1, N2, N3, X, Y, W);
+end;
+
+procedure ResultN3(N1, N2, N3: integer; X, Y, W: integer);
+begin
+  resultn3_(ToBytes(''), N1, N2, N3, X, Y, W);
+end;
+
+procedure ResultR(Cmt: string; R: real; X, Y, W: integer);
+begin
+  resultr_(ToBytes(Cmt), R, X, Y, W);
+end;
+
+procedure ResultR(R: real; X, Y, W: integer);
+begin
+  resultr_(ToBytes(''), R, X, Y, W);
+end;
+
+procedure ResultR2(Cmt: string; R1, R2: real; X, Y, W: integer);
+begin
+  resultr2_(ToBytes(Cmt), R1, R2, X, Y, W);
+end;
+
+procedure ResultR2(R1, R2: real; X, Y, W: integer);
+begin
+  resultr2_(ToBytes(''), R1, R2, X, Y, W);
+end;
+
+procedure ResultR3(Cmt: string; R1, R2, R3: real; X, Y, W: integer);
+begin
+  resultr3_(ToBytes(Cmt), R1, R2, R3, X, Y, W);
+end;
+
+procedure ResultR3(R1, R2, R3: real; X, Y, W: integer);
+begin
+  resultr3_(ToBytes(''), R1, R2, R3, X, Y, W);
+end;
+
+procedure ResultC(Cmt: string; C: char; X, Y: integer);
+begin
+  resultc_(ToBytes(Cmt), C, X, Y);
+end;
+
+procedure ResultC(C: char; X, Y: integer);
+begin
+  resultc_(ToBytes(''), C, X, Y);
+end;
+
+procedure ResultS(Cmt: string; S: string; X, Y: integer);
+begin
+  results_(ToBytes(Cmt), ToBytes(S), X, Y);
+end;
+
+procedure ResultS(S: string; X, Y: integer);
+begin
+  results_(ToBytes(''), ToBytes(S), X, Y);
+end;
+
+procedure ResultP(Cmt: string; NP: integer; X, Y: integer);
+begin
+  resultp_(ToBytes(Cmt), NP, X, Y);
+end;
+
+procedure ResultP(NP: integer; X, Y: integer);
+begin
+  resultp_(ToBytes(''), NP, X, Y);
+end;
+
+procedure ResultComment(Cmt: string; X, Y: integer);
+begin
+  resultcomment_(ToBytes(Cmt), X, Y);
+end;
+
+procedure SetPrecision(N: integer);
+begin
+  setprecision_(N);
+end;
+
+procedure SetTestCount(N: integer);
+begin
+  settestcount_(N);
+end;
+
+procedure SetRequiredDataCount(N: integer);
+begin
+  setrequireddatacount_(N);
+end;
+
+function Center(I, N, W, B: integer): integer;
+begin
+  result := center_(I, N, W, B);
+end;
+
+procedure DataFileN(FileName: string; Y, W: integer);
+begin
+  datafilen_(ToBytes(FileName), Y, W);
+end;
+
+procedure DataFileR(FileName: string; Y, W: integer);
+begin
+  datafiler_(ToBytes(FileName), Y, W);
+end;
+
+procedure DataFileC(FileName: string; Y, W: integer);
+begin
+  datafilec_(ToBytes(FileName), Y, W);
+end;
+
+procedure DataFileS(FileName: string; Y, W: integer);
+begin
+  datafiles_(ToBytes(FileName), Y, W);
+end;
+
+procedure DataFileT(FileName: string; Y1, Y2: integer);
+begin
+  datafilet_(ToBytes(FileName), Y1, Y2);
+end;
+
+procedure ResultFileN(FileName: string; Y, W: integer);
+begin
+  resultfilen_(ToBytes(FileName), Y, W);
+end;
+
+procedure ResultFileR(FileName: string; Y, W: integer);
+begin
+  resultfiler_(ToBytes(FileName), Y, W);
+end;
+
+procedure ResultFileC(FileName: string; Y, W: integer);
+begin
+  resultfilec_(ToBytes(FileName), Y, W);
+end;
+
+procedure ResultFileS(FileName: string; Y, W: integer);
+begin
+  resultfiles_(ToBytes(FileName), Y, W);
+end;
+
+procedure ResultFileT(FileName: string; Y1, Y2: integer);
+begin
+  resultfilet_(ToBytes(FileName), Y1, Y2);
+end;
+
+procedure SetPointer(NP: integer; P: PNode);
+begin
+  setpointer_(NP, P);
+end;
+
+procedure DataList(NP: integer; X, Y: integer);
+begin
+  datalist_(NP, X, Y);
+end;
+
+procedure ResultList(NP: integer; X, Y: integer);
+begin
+  resultlist_(NP, X, Y);
+end;
+
+procedure DataBinTree(NP: integer; X, Y1, Y2: integer);
+begin
+  databintree_(NP, X, Y1, Y2);
+end;
+
+procedure ResultBinTree(NP: integer; X, Y1, Y2: integer);
+begin
+  resultbintree_(NP, X, Y1, Y2);
+end;
+
+procedure DataTree(NP: integer; X, Y1, Y2: integer);
+begin
+  datatree_(NP, X, Y1, Y2);
+end;
+
+procedure ResultTree(NP: integer; X, Y1, Y2: integer);
+begin
+  resulttree_(NP, X, Y1, Y2);
+end;
+
+procedure ShowPointer(NP: integer);
+begin
+  showpointer_(NP);
+end;
+
+procedure SetNewNode(NNode: integer);
+begin
+  setnewnode_(NNode);
+end;
+
+procedure SetDisposedNode(NNode: integer);
+begin
+  setdisposednode_(NNode);
+end;
+
+function WordCount: integer;
+begin
+  result := wordcount_;
+end;
+
+function SentenceCount: integer;
+begin
+  result := sentencecount_;
+end;
+
+function TextCount: integer;
+begin
+  result := textcount_;
+end;
+
+function WordSample(n: integer): string;
+begin
+  var S := new StringBuilder(20); //max=11
+  wordsample_(n, S);
+  result := S.ToString;
+end;
+
+function SentenceSample(n: integer): string;
+begin
+  var S := new StringBuilder(100); //max=76
+  sentencesample_(n, S);
+  result := S.ToString;
+end;
+
+function TextSample(n: integer): string;
+begin
+  var S := new StringBuilder(1100); //max=1076
+  textsample_(n, S);
+  result := S.ToString;
+end;
+
+function EnWordCount: integer;
+begin
+  result := enwordcount_;
+end;
+
+function EnSentenceCount: integer;
+begin
+  result := ensentencecount_;
+end;
+
+function EnTextCount: integer;
+begin
+  result := entextcount_;
+end;
+
+function EnWordSample(n: integer): string;
+begin
+  var S := new StringBuilder(20); //max=14
+  enwordsample_(n, S);
+  result := S.ToString;
+end;
+
+function EnSentenceSample(n: integer): string;
+begin
+  var S := new StringBuilder(100); //max=76
+  ensentencesample_(n, S);
+  result := S.ToString;
+end;
+
+function EnTextSample(n: integer): string;
+begin
+  var S := new StringBuilder(1100); //max=1009
+  entextsample_(n, S);
+  result := S.ToString;
+end;
+
+procedure CommentText(S: string);
+begin
+  commenttext_(ToBytes(S));
+end;
+
+procedure UseComment(GroupName, SubgroupName: string);
+begin
+  usecomment_(ToBytes(GroupName), ToBytes(SubgroupName));
+end;
+
+procedure UseComment(GroupName: string);
+begin
+  UseComment(GroupName, '');
+end;
+
+procedure Subgroup(SubgroupName: string);
+begin
+  subgroup_(ToBytes(SubgroupName));
+end;
+
+procedure SetObjectStyle;
+begin
+  setobjectstyle_;
+end;
+
+{ // удалено в версии 4.11
+procedure RegisterGroup(UnitName: string);
+begin
+  registergroup_(PChar(UnitName));
+end;
+}
+
+procedure ShowError(S1, S2: string);
+begin
+  MessageBox(0, S1+#13#10'is not found '+
+      'in the PT4 library.'#13#10'You should update '+
+      'the Programming Taskbook to '+S2+' version.', 
+      'PT4TaskMaker Error', 16);
+end;
+
+procedure CreateTask(SubgroupName: string; var ProcessCount: integer);
+begin
+  if createtask2_ <> nil then
+    createtask2_(ToBytes(SubgroupName), ProcessCount)
+  else
+    ShowError('The CreateTask procedure with ProcessCount parameter', '4.9');
+end;
+
+procedure CreateTask(var ProcessCount: integer);
+begin
+  CreateTask('', ProcessCount);
+end;
+
+procedure SetProcess(ProcessRank: integer);
+begin
+  if setprocess_ <> nil then
+    setprocess_(ProcessRank);
+end;
+
+function CurrentVersion: string;
+begin
+  result := '4.00';
+  if currentversion_ <> nil then
+  begin
+    var S := new StringBuilder(100);
+    currentversion_(S);
+    result := S.ToString;
+  end;
+end;
+
+function CurrentTest: integer;
+begin
+  result := 0;
+  if currenttest_ <> nil then
+    result := currenttest_;
+end;
+
+function RandomN(M, N: integer): integer;
+begin
+  result := M;
+  if M < N then
+    result := Random(N-M+1) + M;
+end;
+
+function RandomR(A, B: real): real;
+begin
+  result := A;
+  if A < B then
+    result := Random * (B-A) + A;
+end;
+
+initialization
+
+finalization
+
+  FreeLibrary(FHandle);
+
+end.
+
diff --git a/TestSuite/CompilationSamples/Мозаика.pas b/TestSuite/CompilationSamples/Мозаика.pas
new file mode 100644
index 000000000..612948bd6
--- /dev/null
+++ b/TestSuite/CompilationSamples/Мозаика.pas
@@ -0,0 +1,477 @@
+unit Мозаика;
+
+interface
+
+uses GraphWPF;
+
+var Window := GraphWPF.Window; 
+
+procedure п;
+
+procedure к;
+procedure кк1;
+procedure кк2;
+procedure кк3;
+procedure кк4;
+procedure кт1;
+procedure кт2;
+procedure кт3;
+procedure кт4;
+
+procedure ко;
+procedure кок1;
+procedure кок2;
+procedure кок3;
+procedure кок4;
+procedure кот1;
+procedure кот2;
+procedure кот3;
+procedure кот4;
+
+procedure ж;
+procedure жк1;
+procedure жк2;
+procedure жк3;
+procedure жк4;
+procedure жт1;
+procedure жт2;
+procedure жт3;
+procedure жт4;
+
+procedure г;
+procedure гк1;
+procedure гк2;
+procedure гк3;
+procedure гк4;
+procedure гт1;
+procedure гт2;
+procedure гт3;
+procedure гт4;
+
+procedure ч;
+procedure чк1;
+procedure чк2;
+procedure чк3;
+procedure чк4;
+procedure чт1;
+procedure чт2;
+procedure чт3;
+procedure чт4;
+
+procedure б;
+procedure бт1;
+procedure бт2;
+procedure бт3;
+procedure бт4;
+procedure бк1;
+procedure бк2;
+procedure бк3;
+procedure бк4;
+
+procedure з;
+procedure зт1;
+procedure зт2;
+procedure зт3;
+procedure зт4;
+procedure зк1;
+procedure зк2;
+procedure зк3;
+procedure зк4;
+
+procedure с;
+procedure ст1;
+procedure ст2;
+procedure ст3;
+procedure ст4;
+procedure ск1;
+procedure ск2;
+procedure ск3;
+procedure ск4;
+
+procedure се;
+procedure сет1;
+procedure сет2;
+procedure сет3;
+procedure сет4;
+procedure сек1;
+procedure сек2;
+procedure сек3;
+procedure сек4;
+
+procedure о;
+procedure от1;
+procedure от2;
+procedure от3;
+procedure от4;
+procedure ок1;
+procedure ок2;
+procedure ок3;
+procedure ок4;
+
+procedure р;
+procedure рт1;
+procedure рт2;
+procedure рт3;
+procedure рт4;
+procedure рк1;
+procedure рк2;
+procedure рк3;
+procedure рк4;
+
+procedure ф;
+procedure фт1;
+procedure фт2;
+procedure фт3;
+procedure фт4;
+procedure фк1;
+procedure фк2;
+procedure фк3;
+procedure фк4;
+
+procedure Ряд(p: procedure);
+procedure НарисоватьРяд(p: procedure);
+
+implementation
+
+var
+  w := 50;
+  z := 2;
+  x := 1;
+  y := 1;
+
+procedure Draw(x, y: integer) := Rectangle(x * w, y * w, w - z, w - z);
+
+procedure D(c: Color);
+begin
+  Brush.Color := c;
+  Draw(x, y); 
+  x += 1;
+end;
+
+procedure Ц1(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w + w - z,y * w + w - z,w-z,90,180);
+  x += 1;
+end;
+procedure Ц2(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w,y * w + w - z,w-z,0,90);
+  x += 1;
+end;
+procedure Ц3(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w,y * w,w-z,270,360);
+  x += 1;
+end;
+procedure Ц4(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w + w - z,y * w,w-z,180,270);
+  x += 1;
+end;
+procedure Тр1(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w + w - z,y * w + w - z),Pnt(x * w + w - z,y * w),Pnt(x * w,y * w + w - z)));
+  x += 1;
+end;
+procedure Тр2(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w,y * w + w - z),Pnt(x * w,y * w),Pnt(x * w + w - z,y * w + w - z)));
+  x += 1;
+end;
+procedure Тр3(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w,y * w),Pnt(x * w + w - z,y * w),Pnt(x * w,y * w + w - z)));
+  x += 1;
+end;
+procedure Тр4(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w + w - z,y * w),Pnt(x * w,y * w),Pnt(x * w + w - z,y * w + w - z)));
+  x += 1;
+end;
+
+//------ Соответствие цветов
+var КрасныйЦвет := Colors.Red;
+var ОранжевыйЦвет := RGB(255,127,$00);
+var ЖелтыйЦвет := Colors.Yellow;
+var ЗеленыйЦвет := RGB($00,$99,$00);
+var ГолубойЦвет := RGB($61,$c3,$ff);
+var СинийЦвет := RGB(0,0,255);
+var ФиолетовыйЦвет := RGB($94,$00,$d3);
+
+var РозовыйЦвет := Colors.Magenta;
+var КоричневыйЦвет := RGB($96,$4B,$00);
+var СерыйЦвет := Colors.Gray;
+var БелыйЦвет := Colors.White;
+var ЧерныйЦвет := Colors.Black;
+
+//----------------
+
+procedure Пусто := x += 1;
+
+procedure НовыйРяд := (x, y) := (1, y + 1); 
+
+procedure Серый := D(СерыйЦвет);
+procedure СерыйЦКруг1 := Ц1(Colors.Gray);
+procedure СерыйЦКруг2 := Ц2(СерыйЦвет);
+procedure СерыйЦКруг3 := Ц3(СерыйЦвет);
+procedure СерыйЦКруг4 := Ц4(СерыйЦвет);
+procedure СерыйТр1 := Тр1(СерыйЦвет);
+procedure СерыйТр2 := Тр2(СерыйЦвет);
+procedure СерыйТр3 := Тр3(СерыйЦвет);
+procedure СерыйТр4 := Тр4(СерыйЦвет);
+
+procedure Оранжевый := D(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг1 := Ц1(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг2 := Ц2(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг3 := Ц3(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг4 := Ц4(ОранжевыйЦвет);
+procedure ОранжевыйТр1 := Тр1(ОранжевыйЦвет);
+procedure ОранжевыйТр2 := Тр2(ОранжевыйЦвет);
+procedure ОранжевыйТр3 := Тр3(ОранжевыйЦвет);
+procedure ОранжевыйТр4 := Тр4(ОранжевыйЦвет);
+
+procedure Коричневый := D(КоричневыйЦвет);
+procedure КоричневыйЦКруг1 := Ц1(КоричневыйЦвет);
+procedure КоричневыйЦКруг2 := Ц2(КоричневыйЦвет);
+procedure КоричневыйЦКруг3 := Ц3(КоричневыйЦвет);
+procedure КоричневыйЦКруг4 := Ц4(КоричневыйЦвет);
+procedure КоричневыйТр1 := Тр1(КоричневыйЦвет);
+procedure КоричневыйТр2 := Тр2(КоричневыйЦвет);
+procedure КоричневыйТр3 := Тр3(КоричневыйЦвет);
+procedure КоричневыйТр4 := Тр4(КоричневыйЦвет);
+
+procedure Белый := D(БелыйЦвет);
+procedure БелыйЦКруг1 := Ц1(БелыйЦвет);
+procedure БелыйЦКруг2 := Ц2(БелыйЦвет);
+procedure БелыйЦКруг3 := Ц3(БелыйЦвет);
+procedure БелыйЦКруг4 := Ц4(БелыйЦвет);
+procedure БелыйТр1 := Тр1(БелыйЦвет);
+procedure БелыйТр2 := Тр2(БелыйЦвет);
+procedure БелыйТр3 := Тр3(БелыйЦвет);
+procedure БелыйТр4 := Тр4(БелыйЦвет);
+
+procedure Синий := D(СинийЦвет);
+procedure СинийЦКруг1 := Ц1(СинийЦвет);
+procedure СинийЦКруг2 := Ц2(СинийЦвет);
+procedure СинийЦКруг3 := Ц3(СинийЦвет);
+procedure СинийЦКруг4 := Ц4(СинийЦвет);
+procedure СинийТр1 := Тр1(СинийЦвет);
+procedure СинийТр2 := Тр2(СинийЦвет);
+procedure СинийТр3 := Тр3(СинийЦвет);
+procedure СинийТр4 := Тр4(СинийЦвет);
+
+procedure Фиолетовый := D(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг1 := Ц1(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг2 := Ц2(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг3 := Ц3(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг4 := Ц4(ФиолетовыйЦвет);
+procedure ФиолетовыйТр1 := Тр1(ФиолетовыйЦвет);
+procedure ФиолетовыйТр2 := Тр2(ФиолетовыйЦвет);
+procedure ФиолетовыйТр3 := Тр3(ФиолетовыйЦвет);
+procedure ФиолетовыйТр4 := Тр4(ФиолетовыйЦвет);
+
+procedure Красный := D(КрасныйЦвет);
+procedure КрасныйЦКруг1 := Ц1(КрасныйЦвет);
+procedure КрасныйЦКруг2 := Ц2(КрасныйЦвет);
+procedure КрасныйЦКруг3 := Ц3(КрасныйЦвет);
+procedure КрасныйЦКруг4 := Ц4(КрасныйЦвет);
+procedure КрасныйТр1 := Тр1(КрасныйЦвет);
+procedure КрасныйТр2 := Тр2(КрасныйЦвет);
+procedure КрасныйТр3 := Тр3(КрасныйЦвет);
+procedure КрасныйТр4 := Тр4(КрасныйЦвет);
+
+procedure Черный := D(ЧерныйЦвет);
+procedure Чёрный := D(ЧерныйЦвет);
+procedure ЧерныйТр1 := Тр1(ЧерныйЦвет);
+procedure ЧерныйТр2 := Тр2(ЧерныйЦвет);
+procedure ЧерныйТр3 := Тр3(ЧерныйЦвет);
+procedure ЧерныйТр4 := Тр4(ЧерныйЦвет);
+procedure ЧерныйЦКруг1 := Ц1(ЧерныйЦвет);
+procedure ЧерныйЦКруг2 := Ц2(ЧерныйЦвет);
+procedure ЧерныйЦКруг3 := Ц3(ЧерныйЦвет);
+procedure ЧерныйЦКруг4 := Ц4(ЧерныйЦвет);
+procedure ЧёрныйЦКруг1 := Ц1(ЧерныйЦвет);
+procedure ЧёрныйЦКруг2 := Ц2(ЧерныйЦвет);
+procedure ЧёрныйЦКруг3 := Ц3(ЧерныйЦвет);
+procedure ЧёрныйЦКруг4 := Ц4(ЧерныйЦвет);
+
+procedure Зелёный := D(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг1 := Ц1(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг2 := Ц2(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг3 := Ц3(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг4 := Ц4(ЗеленыйЦвет);
+procedure ЗелёныйТр1 := Тр1(ЗеленыйЦвет);
+procedure ЗелёныйТр2 := Тр2(ЗеленыйЦвет);
+procedure ЗелёныйТр3 := Тр3(ЗеленыйЦвет);
+procedure ЗелёныйТр4 := Тр4(ЗеленыйЦвет);
+
+procedure Голубой := D(ГолубойЦвет);
+procedure ГолубойЦКруг1 := Ц1(ГолубойЦвет);
+procedure ГолубойЦКруг2 := Ц2(ГолубойЦвет);
+procedure ГолубойЦКруг3 := Ц3(ГолубойЦвет);
+procedure ГолубойЦКруг4 := Ц4(ГолубойЦвет);
+procedure ГолубойТр1 := Тр1(ГолубойЦвет);
+procedure ГолубойТр2 := Тр2(ГолубойЦвет);
+procedure ГолубойТр3 := Тр3(ГолубойЦвет);
+procedure ГолубойТр4 := Тр4(ГолубойЦвет);
+
+procedure Розовый := D(РозовыйЦвет);
+procedure РозовыйЦКруг1 := Ц1(РозовыйЦвет);
+procedure РозовыйЦКруг2 := Ц2(РозовыйЦвет);
+procedure РозовыйЦКруг3 := Ц3(РозовыйЦвет);
+procedure РозовыйЦКруг4 := Ц4(РозовыйЦвет);
+procedure РозовыйТр1 := Тр1(РозовыйЦвет);
+procedure РозовыйТр2 := Тр2(РозовыйЦвет);
+procedure РозовыйТр3 := Тр3(РозовыйЦвет);
+procedure РозовыйТр4 := Тр4(РозовыйЦвет);
+
+procedure Желтый := D(ЖелтыйЦвет);
+procedure Жёлтый := D(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг1 := Ц1(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг2 := Ц2(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг3 := Ц3(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг4 := Ц4(ЖелтыйЦвет);
+procedure ЖелтыйТр1 := Тр1(ЖелтыйЦвет);
+procedure ЖелтыйТр2 := Тр2(ЖелтыйЦвет);
+procedure ЖелтыйТр3 := Тр3(ЖелтыйЦвет);
+procedure ЖелтыйТр4 := Тр4(ЖелтыйЦвет);
+
+procedure п := пусто;
+
+procedure к := красный;
+procedure кк1 := красныйцкруг1;
+procedure кк2 := красныйцкруг2;
+procedure кк3 := красныйцкруг3;
+procedure кк4 := красныйцкруг4;
+procedure кт1 := красныйТр1;
+procedure кт2 := красныйТр2;
+procedure кт3 := красныйТр3;
+procedure кт4 := красныйТр4;
+
+procedure ко := коричневый;
+procedure кок1 := коричневыйцкруг1;
+procedure кок2 := коричневыйцкруг2;
+procedure кок3 := коричневыйцкруг3;
+procedure кок4 := коричневыйцкруг4;
+procedure кот1 := коричневыйТр1;
+procedure кот2 := коричневыйТр2;
+procedure кот3 := коричневыйТр3;
+procedure кот4 := коричневыйТр4;
+
+procedure ж := желтый;
+procedure жк1 := желтыйцкруг1;
+procedure жк2 := желтыйцкруг2;
+procedure жк3 := желтыйцкруг3;
+procedure жк4 := желтыйцкруг4;
+procedure жт1 := желтыйТр1;
+procedure жт2 := желтыйТр2;
+procedure жт3 := желтыйТр3;
+procedure жт4 := желтыйТр4;
+
+procedure г := голубой;
+procedure гк1 := Голубойцкруг1;
+procedure гк2 := Голубойцкруг2;
+procedure гк3 := Голубойцкруг3;
+procedure гк4 := Голубойцкруг4;
+procedure гт1 := ГолубойТр1;
+procedure гт2 := ГолубойТр2;
+procedure гт3 := ГолубойТр3;
+procedure гт4 := ГолубойТр4;
+
+procedure ч := черный;
+procedure Чк1 := ЧЕРНыйцкруг1;
+procedure Чк2 := ЧЕРНыйцкруг2;
+procedure Чк3 := ЧЕРНыйцкруг3;
+procedure Чк4 := ЧЕРНыйцкруг4;
+procedure Чт1 := ЧЕРНыйТр1;
+procedure Чт2 := ЧЕРНыйТр2;
+procedure Чт3 := ЧЕРНыйТр3;
+procedure Чт4 := ЧЕРНыйТр4;
+
+procedure б := белый;
+procedure бт1 := белыйТр1;
+procedure бт2 := белыйТр2;
+procedure бт3 := белыйТр3;
+procedure бт4 := белыйТр4;
+procedure Бк1 := белыйцкруг1;
+procedure Бк2 := белыйцкруг2;
+procedure Бк3 := белыйцкруг3;
+procedure Бк4 := белыйцкруг4;
+
+procedure з := зелёный;
+procedure зт1 := зелёныйТр1;
+procedure зт2 := зелёныйТр2;
+procedure зт3 := зелёныйТр3;
+procedure зт4 := зелёныйТр4;
+procedure зк1 := зелёныйцкруг1;
+procedure зк2 := зелёныйцкруг2;
+procedure зк3 := зелёныйцкруг3;
+procedure зк4 := зелёныйцкруг4;
+
+procedure с := синий;
+procedure ст1 := синийТр1;
+procedure ст2 := синийТр2;
+procedure ст3 := синийТр3;
+procedure ст4 := синийТр4;
+procedure ск1 := синийцкруг1;
+procedure ск2 := синийцкруг2;
+procedure ск3 := синийцкруг3;
+procedure ск4 := синийцкруг4;
+
+procedure се := серый;
+procedure сет1 := серыйТр1;
+procedure сет2 := серыйТр2;
+procedure сет3 := серыйТр3;
+procedure сет4 := серыйТр4;
+procedure сек1 := серыйцкруг1;
+procedure сек2 := серыйцкруг2;
+procedure сек3 := серыйцкруг3;
+procedure сек4 := серыйцкруг4;
+
+procedure о := оранжевый;
+procedure от1 := оранжевыйТр1;
+procedure от2 := оранжевыйТр2;
+procedure от3 := оранжевыйТр3;
+procedure от4 := оранжевыйТр4;
+procedure ок1 := оранжевыйцкруг1;
+procedure ок2 := оранжевыйцкруг2;
+procedure ок3 := оранжевыйцкруг3;
+procedure ок4 := оранжевыйцкруг4;
+
+procedure Р := розовый;
+procedure Рт1 := розовыйТр1;
+procedure Рт2 := розовыйТр2;
+procedure Рт3 := розовыйТр3;
+procedure Рт4 := розовыйТр4;
+procedure Рк1 := розовыйцкруг1;
+procedure Рк2 := розовыйцкруг2;
+procedure Рк3 := розовыйцкруг3;
+procedure Рк4 := розовыйцкруг4;
+
+procedure ф := фиолетовый;
+procedure фт1 := фиолетовыйТр1;
+procedure фт2 := фиолетовыйТр2;
+procedure фт3 := фиолетовыйТр3;
+procedure фт4 := фиолетовыйТр4;
+procedure фк1 := фиолетовыйцкруг1;
+procedure фк2 := фиолетовыйцкруг2;
+procedure фк3 := фиолетовыйцкруг3;
+procedure фк4 := фиолетовыйцкруг4;
+
+procedure Run(p: procedure) := p;
+
+procedure НарисоватьРяд(p: procedure) := Run(p + НовыйРяд);
+procedure Ряд(p: procedure) := (p + НовыйРяд);
+
+begin
+  SetStandardCoords(1 / 1.25, 0.5, 0.5);
+  pen.Width := 1 / 1.25;
+end.  
\ No newline at end of file
diff --git a/TestSuite/CompilationSamples/МозаикаABC.pas b/TestSuite/CompilationSamples/МозаикаABC.pas
new file mode 100644
index 000000000..b58b2e694
--- /dev/null
+++ b/TestSuite/CompilationSamples/МозаикаABC.pas
@@ -0,0 +1,478 @@
+unit МозаикаABC;
+
+interface
+
+uses GraphABC;
+
+var Window := GraphABC.Window;
+
+procedure п;
+
+procedure к;
+procedure кк1;
+procedure кк2;
+procedure кк3;
+procedure кк4;
+procedure кт1;
+procedure кт2;
+procedure кт3;
+procedure кт4;
+
+procedure ко;
+procedure кок1;
+procedure кок2;
+procedure кок3;
+procedure кок4;
+procedure кот1;
+procedure кот2;
+procedure кот3;
+procedure кот4;
+
+procedure ж;
+procedure жк1;
+procedure жк2;
+procedure жк3;
+procedure жк4;
+procedure жт1;
+procedure жт2;
+procedure жт3;
+procedure жт4;
+
+procedure г;
+procedure гк1;
+procedure гк2;
+procedure гк3;
+procedure гк4;
+procedure гт1;
+procedure гт2;
+procedure гт3;
+procedure гт4;
+
+procedure ч;
+procedure чк1;
+procedure чк2;
+procedure чк3;
+procedure чк4;
+procedure чт1;
+procedure чт2;
+procedure чт3;
+procedure чт4;
+
+procedure б;
+procedure бт1;
+procedure бт2;
+procedure бт3;
+procedure бт4;
+procedure бк1;
+procedure бк2;
+procedure бк3;
+procedure бк4;
+
+procedure з;
+procedure зт1;
+procedure зт2;
+procedure зт3;
+procedure зт4;
+procedure зк1;
+procedure зк2;
+procedure зк3;
+procedure зк4;
+
+procedure с;
+procedure ст1;
+procedure ст2;
+procedure ст3;
+procedure ст4;
+procedure ск1;
+procedure ск2;
+procedure ск3;
+procedure ск4;
+
+procedure се;
+procedure сет1;
+procedure сет2;
+procedure сет3;
+procedure сет4;
+procedure сек1;
+procedure сек2;
+procedure сек3;
+procedure сек4;
+
+procedure о;
+procedure от1;
+procedure от2;
+procedure от3;
+procedure от4;
+procedure ок1;
+procedure ок2;
+procedure ок3;
+procedure ок4;
+
+procedure р;
+procedure рт1;
+procedure рт2;
+procedure рт3;
+procedure рт4;
+procedure рк1;
+procedure рк2;
+procedure рк3;
+procedure рк4;
+
+procedure ф;
+procedure фт1;
+procedure фт2;
+procedure фт3;
+procedure фт4;
+procedure фк1;
+procedure фк2;
+procedure фк3;
+procedure фк4;
+
+procedure Ряд(p: procedure);
+procedure НарисоватьРяд(p: procedure);
+
+implementation
+
+var
+  w := 50;
+  z := 2;
+  x := 1;
+  y := 1;
+
+procedure Draw(x, y: integer) := Rectangle(x * w, y * w, w - z, w - z);
+
+procedure D(c: Color);
+begin
+  Brush.Color := c;
+  Draw(x, y); 
+  x += 1;
+end;
+
+procedure Ц1(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w + w - z,y * w + w - z,w-z,90,180);
+  x += 1;
+end;
+procedure Ц2(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w,y * w + w - z,w-z,0,90);
+  x += 1;
+end;
+procedure Ц3(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w,y * w,w-z,270,360);
+  x += 1;
+end;
+procedure Ц4(c: Color);
+begin
+  Brush.Color := c;
+  Pie(x * w + w - z,y * w,w-z,180,270);
+  x += 1;
+end;
+procedure Тр1(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w + w - z,y * w + w - z),Pnt(x * w + w - z,y * w),Pnt(x * w,y * w + w - z)));
+  x += 1;
+end;
+procedure Тр2(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w,y * w + w - z),Pnt(x * w,y * w),Pnt(x * w + w - z,y * w + w - z)));
+  x += 1;
+end;
+procedure Тр3(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w,y * w),Pnt(x * w + w - z,y * w),Pnt(x * w,y * w + w - z)));
+  x += 1;
+end;
+procedure Тр4(c: Color);
+begin
+  Brush.Color := c;
+  Polygon(Arr(Pnt(x * w + w - z,y * w),Pnt(x * w,y * w),Pnt(x * w + w - z,y * w + w - z)));
+  x += 1;
+end;
+
+//------ Соответствие цветов
+var КрасныйЦвет := Color.Red;
+var ОранжевыйЦвет := RGB(255,127,$00);
+var ЖелтыйЦвет := Color.Yellow;
+var ЗеленыйЦвет := RGB($00,$99,$00);
+var ГолубойЦвет := RGB($61,$c3,$ff);
+var СинийЦвет := RGB(0,0,255);
+var ФиолетовыйЦвет := RGB($94,$00,$d3);
+
+var РозовыйЦвет := Color.Magenta;
+var КоричневыйЦвет := RGB($96,$4B,$00);
+var СерыйЦвет := Color.Gray;
+var БелыйЦвет := Color.White;
+var ЧерныйЦвет := Color.Black;
+
+//----------------
+
+procedure Пусто := x += 1;
+
+procedure НовыйРяд := (x, y) := (1, y + 1); 
+
+procedure Серый := D(СерыйЦвет);
+procedure СерыйЦКруг1 := Ц1(СерыйЦвет);
+procedure СерыйЦКруг2 := Ц2(СерыйЦвет);
+procedure СерыйЦКруг3 := Ц3(СерыйЦвет);
+procedure СерыйЦКруг4 := Ц4(СерыйЦвет);
+procedure СерыйТр1 := Тр1(СерыйЦвет);
+procedure СерыйТр2 := Тр2(СерыйЦвет);
+procedure СерыйТр3 := Тр3(СерыйЦвет);
+procedure СерыйТр4 := Тр4(СерыйЦвет);
+
+procedure Оранжевый := D(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг1 := Ц1(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг2 := Ц2(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг3 := Ц3(ОранжевыйЦвет);
+procedure ОранжевыйЦКруг4 := Ц4(ОранжевыйЦвет);
+procedure ОранжевыйТр1 := Тр1(ОранжевыйЦвет);
+procedure ОранжевыйТр2 := Тр2(ОранжевыйЦвет);
+procedure ОранжевыйТр3 := Тр3(ОранжевыйЦвет);
+procedure ОранжевыйТр4 := Тр4(ОранжевыйЦвет);
+
+procedure Коричневый := D(КоричневыйЦвет);
+procedure КоричневыйЦКруг1 := Ц1(КоричневыйЦвет);
+procedure КоричневыйЦКруг2 := Ц2(КоричневыйЦвет);
+procedure КоричневыйЦКруг3 := Ц3(КоричневыйЦвет);
+procedure КоричневыйЦКруг4 := Ц4(КоричневыйЦвет);
+procedure КоричневыйТр1 := Тр1(КоричневыйЦвет);
+procedure КоричневыйТр2 := Тр2(КоричневыйЦвет);
+procedure КоричневыйТр3 := Тр3(КоричневыйЦвет);
+procedure КоричневыйТр4 := Тр4(КоричневыйЦвет);
+
+procedure Белый := D(БелыйЦвет);
+procedure БелыйЦКруг1 := Ц1(БелыйЦвет);
+procedure БелыйЦКруг2 := Ц2(БелыйЦвет);
+procedure БелыйЦКруг3 := Ц3(БелыйЦвет);
+procedure БелыйЦКруг4 := Ц4(БелыйЦвет);
+procedure БелыйТр1 := Тр1(БелыйЦвет);
+procedure БелыйТр2 := Тр2(БелыйЦвет);
+procedure БелыйТр3 := Тр3(БелыйЦвет);
+procedure БелыйТр4 := Тр4(БелыйЦвет);
+
+procedure Синий := D(СинийЦвет);
+procedure СинийЦКруг1 := Ц1(СинийЦвет);
+procedure СинийЦКруг2 := Ц2(СинийЦвет);
+procedure СинийЦКруг3 := Ц3(СинийЦвет);
+procedure СинийЦКруг4 := Ц4(СинийЦвет);
+procedure СинийТр1 := Тр1(СинийЦвет);
+procedure СинийТр2 := Тр2(СинийЦвет);
+procedure СинийТр3 := Тр3(СинийЦвет);
+procedure СинийТр4 := Тр4(СинийЦвет);
+
+procedure Фиолетовый := D(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг1 := Ц1(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг2 := Ц2(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг3 := Ц3(ФиолетовыйЦвет);
+procedure ФиолетовыйЦКруг4 := Ц4(ФиолетовыйЦвет);
+procedure ФиолетовыйТр1 := Тр1(ФиолетовыйЦвет);
+procedure ФиолетовыйТр2 := Тр2(ФиолетовыйЦвет);
+procedure ФиолетовыйТр3 := Тр3(ФиолетовыйЦвет);
+procedure ФиолетовыйТр4 := Тр4(ФиолетовыйЦвет);
+
+procedure Красный := D(КрасныйЦвет);
+procedure КрасныйЦКруг1 := Ц1(КрасныйЦвет);
+procedure КрасныйЦКруг2 := Ц2(КрасныйЦвет);
+procedure КрасныйЦКруг3 := Ц3(КрасныйЦвет);
+procedure КрасныйЦКруг4 := Ц4(КрасныйЦвет);
+procedure КрасныйТр1 := Тр1(КрасныйЦвет);
+procedure КрасныйТр2 := Тр2(КрасныйЦвет);
+procedure КрасныйТр3 := Тр3(КрасныйЦвет);
+procedure КрасныйТр4 := Тр4(КрасныйЦвет);
+
+procedure Черный := D(ЧерныйЦвет);
+procedure Чёрный := D(ЧерныйЦвет);
+procedure ЧерныйТр1 := Тр1(ЧерныйЦвет);
+procedure ЧерныйТр2 := Тр2(ЧерныйЦвет);
+procedure ЧерныйТр3 := Тр3(ЧерныйЦвет);
+procedure ЧерныйТр4 := Тр4(ЧерныйЦвет);
+procedure ЧерныйЦКруг1 := Ц1(ЧерныйЦвет);
+procedure ЧерныйЦКруг2 := Ц2(ЧерныйЦвет);
+procedure ЧерныйЦКруг3 := Ц3(ЧерныйЦвет);
+procedure ЧерныйЦКруг4 := Ц4(ЧерныйЦвет);
+procedure ЧёрныйЦКруг1 := Ц1(ЧерныйЦвет);
+procedure ЧёрныйЦКруг2 := Ц2(ЧерныйЦвет);
+procedure ЧёрныйЦКруг3 := Ц3(ЧерныйЦвет);
+procedure ЧёрныйЦКруг4 := Ц4(ЧерныйЦвет);
+
+procedure Зелёный := D(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг1 := Ц1(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг2 := Ц2(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг3 := Ц3(ЗеленыйЦвет);
+procedure ЗелёныйЦКруг4 := Ц4(ЗеленыйЦвет);
+procedure ЗелёныйТр1 := Тр1(ЗеленыйЦвет);
+procedure ЗелёныйТр2 := Тр2(ЗеленыйЦвет);
+procedure ЗелёныйТр3 := Тр3(ЗеленыйЦвет);
+procedure ЗелёныйТр4 := Тр4(ЗеленыйЦвет);
+
+procedure Голубой := D(ГолубойЦвет);
+procedure ГолубойЦКруг1 := Ц1(ГолубойЦвет);
+procedure ГолубойЦКруг2 := Ц2(ГолубойЦвет);
+procedure ГолубойЦКруг3 := Ц3(ГолубойЦвет);
+procedure ГолубойЦКруг4 := Ц4(ГолубойЦвет);
+procedure ГолубойТр1 := Тр1(ГолубойЦвет);
+procedure ГолубойТр2 := Тр2(ГолубойЦвет);
+procedure ГолубойТр3 := Тр3(ГолубойЦвет);
+procedure ГолубойТр4 := Тр4(ГолубойЦвет);
+
+procedure Розовый := D(РозовыйЦвет);
+procedure РозовыйЦКруг1 := Ц1(РозовыйЦвет);
+procedure РозовыйЦКруг2 := Ц2(РозовыйЦвет);
+procedure РозовыйЦКруг3 := Ц3(РозовыйЦвет);
+procedure РозовыйЦКруг4 := Ц4(РозовыйЦвет);
+procedure РозовыйТр1 := Тр1(РозовыйЦвет);
+procedure РозовыйТр2 := Тр2(РозовыйЦвет);
+procedure РозовыйТр3 := Тр3(РозовыйЦвет);
+procedure РозовыйТр4 := Тр4(РозовыйЦвет);
+
+procedure Желтый := D(ЖелтыйЦвет);
+procedure Жёлтый := D(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг1 := Ц1(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг2 := Ц2(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг3 := Ц3(ЖелтыйЦвет);
+procedure ЖелтыйЦКруг4 := Ц4(ЖелтыйЦвет);
+procedure ЖелтыйТр1 := Тр1(ЖелтыйЦвет);
+procedure ЖелтыйТр2 := Тр2(ЖелтыйЦвет);
+procedure ЖелтыйТр3 := Тр3(ЖелтыйЦвет);
+procedure ЖелтыйТр4 := Тр4(ЖелтыйЦвет);
+
+procedure п := пусто;
+
+procedure к := красный;
+procedure кк1 := красныйцкруг1;
+procedure кк2 := красныйцкруг2;
+procedure кк3 := красныйцкруг3;
+procedure кк4 := красныйцкруг4;
+procedure кт1 := красныйТр1;
+procedure кт2 := красныйТр2;
+procedure кт3 := красныйТр3;
+procedure кт4 := красныйТр4;
+
+procedure ко := коричневый;
+procedure кок1 := коричневыйцкруг1;
+procedure кок2 := коричневыйцкруг2;
+procedure кок3 := коричневыйцкруг3;
+procedure кок4 := коричневыйцкруг4;
+procedure кот1 := коричневыйТр1;
+procedure кот2 := коричневыйТр2;
+procedure кот3 := коричневыйТр3;
+procedure кот4 := коричневыйТр4;
+
+procedure ж := желтый;
+procedure жк1 := желтыйцкруг1;
+procedure жк2 := желтыйцкруг2;
+procedure жк3 := желтыйцкруг3;
+procedure жк4 := желтыйцкруг4;
+procedure жт1 := желтыйТр1;
+procedure жт2 := желтыйТр2;
+procedure жт3 := желтыйТр3;
+procedure жт4 := желтыйТр4;
+
+procedure г := голубой;
+procedure гк1 := Голубойцкруг1;
+procedure гк2 := Голубойцкруг2;
+procedure гк3 := Голубойцкруг3;
+procedure гк4 := Голубойцкруг4;
+procedure гт1 := ГолубойТр1;
+procedure гт2 := ГолубойТр2;
+procedure гт3 := ГолубойТр3;
+procedure гт4 := ГолубойТр4;
+
+procedure ч := черный;
+procedure Чк1 := ЧЕРНыйцкруг1;
+procedure Чк2 := ЧЕРНыйцкруг2;
+procedure Чк3 := ЧЕРНыйцкруг3;
+procedure Чк4 := ЧЕРНыйцкруг4;
+procedure Чт1 := ЧЕРНыйТр1;
+procedure Чт2 := ЧЕРНыйТр2;
+procedure Чт3 := ЧЕРНыйТр3;
+procedure Чт4 := ЧЕРНыйТр4;
+
+procedure б := белый;
+procedure бт1 := белыйТр1;
+procedure бт2 := белыйТр2;
+procedure бт3 := белыйТр3;
+procedure бт4 := белыйТр4;
+procedure Бк1 := белыйцкруг1;
+procedure Бк2 := белыйцкруг2;
+procedure Бк3 := белыйцкруг3;
+procedure Бк4 := белыйцкруг4;
+
+procedure з := зелёный;
+procedure зт1 := зелёныйТр1;
+procedure зт2 := зелёныйТр2;
+procedure зт3 := зелёныйТр3;
+procedure зт4 := зелёныйТр4;
+procedure зк1 := зелёныйцкруг1;
+procedure зк2 := зелёныйцкруг2;
+procedure зк3 := зелёныйцкруг3;
+procedure зк4 := зелёныйцкруг4;
+
+procedure с := синий;
+procedure ст1 := синийТр1;
+procedure ст2 := синийТр2;
+procedure ст3 := синийТр3;
+procedure ст4 := синийТр4;
+procedure ск1 := синийцкруг1;
+procedure ск2 := синийцкруг2;
+procedure ск3 := синийцкруг3;
+procedure ск4 := синийцкруг4;
+
+procedure се := серый;
+procedure сет1 := серыйТр1;
+procedure сет2 := серыйТр2;
+procedure сет3 := серыйТр3;
+procedure сет4 := серыйТр4;
+procedure сек1 := серыйцкруг1;
+procedure сек2 := серыйцкруг2;
+procedure сек3 := серыйцкруг3;
+procedure сек4 := серыйцкруг4;
+
+procedure о := оранжевый;
+procedure от1 := оранжевыйТр1;
+procedure от2 := оранжевыйТр2;
+procedure от3 := оранжевыйТр3;
+procedure от4 := оранжевыйТр4;
+procedure ок1 := оранжевыйцкруг1;
+procedure ок2 := оранжевыйцкруг2;
+procedure ок3 := оранжевыйцкруг3;
+procedure ок4 := оранжевыйцкруг4;
+
+procedure Р := розовый;
+procedure Рт1 := розовыйТр1;
+procedure Рт2 := розовыйТр2;
+procedure Рт3 := розовыйТр3;
+procedure Рт4 := розовыйТр4;
+procedure Рк1 := розовыйцкруг1;
+procedure Рк2 := розовыйцкруг2;
+procedure Рк3 := розовыйцкруг3;
+procedure Рк4 := розовыйцкруг4;
+
+procedure ф := фиолетовый;
+procedure фт1 := фиолетовыйТр1;
+procedure фт2 := фиолетовыйТр2;
+procedure фт3 := фиолетовыйТр3;
+procedure фт4 := фиолетовыйТр4;
+procedure фк1 := фиолетовыйцкруг1;
+procedure фк2 := фиолетовыйцкруг2;
+procedure фк3 := фиолетовыйцкруг3;
+procedure фк4 := фиолетовыйцкруг4;
+
+procedure Run(p: procedure) := p;
+
+procedure НарисоватьРяд(p: procedure) := Run(p + НовыйРяд);
+procedure Ряд(p: procedure) := (p + НовыйРяд);
+
+begin
+  Window.SetSize(1024,768);
+  //SetStandardCoords(1 / 1.25, 0.5, 0.5);
+  //pen.Width := 1 / 1.25;
+end.  
\ No newline at end of file
diff --git a/Utils/NodesGeneratorNew/NodesGenerator_old/bin/Debug/NodesGenerator.pdb b/Utils/NodesGeneratorNew/NodesGenerator_old/bin/Debug/NodesGenerator.pdb
deleted file mode 100644
index 3987b1ca5..000000000
Binary files a/Utils/NodesGeneratorNew/NodesGenerator_old/bin/Debug/NodesGenerator.pdb and /dev/null differ
diff --git a/Utils/NodesGeneratorNew/Scintilla/ScintillaNET.pdb b/Utils/NodesGeneratorNew/Scintilla/ScintillaNET.pdb
deleted file mode 100644
index 8dd2a279f..000000000
Binary files a/Utils/NodesGeneratorNew/Scintilla/ScintillaNET.pdb and /dev/null differ
diff --git a/Utils/NodesGeneratorNew/Scintilla/Sources/bin/Debug/SCide.pdb b/Utils/NodesGeneratorNew/Scintilla/Sources/bin/Debug/SCide.pdb
deleted file mode 100644
index e3adcbe08..000000000
Binary files a/Utils/NodesGeneratorNew/Scintilla/Sources/bin/Debug/SCide.pdb and /dev/null differ
diff --git a/Utils/NodesGeneratorNew/Scintilla/Sources/bin/Debug/ScintillaNET.pdb b/Utils/NodesGeneratorNew/Scintilla/Sources/bin/Debug/ScintillaNET.pdb
deleted file mode 100644
index 21e568122..000000000
Binary files a/Utils/NodesGeneratorNew/Scintilla/Sources/bin/Debug/ScintillaNET.pdb and /dev/null differ
diff --git a/W/Debug_Folder/ConsoleApp1.exe b/W/Debug_Folder/ConsoleApp1.exe
deleted file mode 100644
index f22b016f5..000000000
Binary files a/W/Debug_Folder/ConsoleApp1.exe and /dev/null differ
diff --git a/W/Debug_Folder/ConsoleApp1.exe.config b/W/Debug_Folder/ConsoleApp1.exe.config
deleted file mode 100644
index ef122f527..000000000
--- a/W/Debug_Folder/ConsoleApp1.exe.config
+++ /dev/null
@@ -1,14 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<configuration>
-    <startup> 
-        <supportedRuntime version="v4.0" sku=".NETFramework,Version=v4.8" />
-    </startup>
-  <runtime>
-    <assemblyBinding xmlns="urn:schemas-microsoft-com:asm.v1">
-      <dependentAssembly>
-        <assemblyIdentity name="System.Threading.Tasks.Extensions" publicKeyToken="cc7b13ffcd2ddd51" culture="neutral" />
-        <bindingRedirect oldVersion="0.0.0.0-4.2.0.1" newVersion="4.2.0.1" />
-      </dependentAssembly>
-    </assemblyBinding>
-  </runtime>
-</configuration>
\ No newline at end of file
diff --git a/W/Debug_Folder/ConsoleApp1.pdb b/W/Debug_Folder/ConsoleApp1.pdb
deleted file mode 100644
index e0d3f8345..000000000
Binary files a/W/Debug_Folder/ConsoleApp1.pdb and /dev/null differ
diff --git a/W/Debug_Folder/CpuMathNative.dll b/W/Debug_Folder/CpuMathNative.dll
deleted file mode 100644
index cf054b55f..000000000
Binary files a/W/Debug_Folder/CpuMathNative.dll and /dev/null differ
diff --git a/W/Debug_Folder/LdaNative.dll b/W/Debug_Folder/LdaNative.dll
deleted file mode 100644
index 6d78150e5..000000000
Binary files a/W/Debug_Folder/LdaNative.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.Core.dll b/W/Debug_Folder/Microsoft.ML.Core.dll
deleted file mode 100644
index 23aad80b6..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.Core.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.Core.xml b/W/Debug_Folder/Microsoft.ML.Core.xml
deleted file mode 100644
index a7eec799b..000000000
--- a/W/Debug_Folder/Microsoft.ML.Core.xml
+++ /dev/null
@@ -1,6902 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.Core</name>
-    </assembly>
-    <members>
-        <member name="T:Microsoft.ML.BestFriendAttribute">
-            <summary>
-            Intended to be applied to types and members with internal scope to indicate that friend access of this
-            internal item is OK from another assembly. This restriction applies only to assemblies that declare the
-            <see cref="T:Microsoft.ML.WantsToBeBestFriendsAttribute"/> assembly level attribute. Note that this attribute is not
-            transferable: an internal member with this attribute does not somehow make a containing internal type
-            accessible. Conversely, neither does marking an internal type make any unmarked internal members accessible.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.WantsToBeBestFriendsAttribute">
-            <summary>
-            This is an assembly level attribute to signal that friend accesses on this assembly should be checked
-            for usage of <see cref="T:Microsoft.ML.BestFriendAttribute"/>. If this attribute is missing, normal access rules for
-            friends should apply.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.ArgumentAttribute">
-            <summary>
-            Allows control of command line parsing.
-            Attach this attribute to instance fields of types used
-            as the destination of command line argument parsing.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.ArgumentAttribute.#ctor(Microsoft.ML.CommandLine.ArgumentType)">
-            <summary>
-            Allows control of command line parsing.
-            </summary>
-            <param name="type"> Specifies the error checking to be done on the argument. </param>
-        </member>
-        <member name="P:Microsoft.ML.CommandLine.ArgumentAttribute.Type">
-            <summary>
-            The error checking to be done on the argument.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.CommandLine.ArgumentAttribute.ShortName">
-            <summary>
-            The short name(s) of the argument.
-            Set to null means use the default short name if it does not
-            conflict with any other parameter name.
-            Set to String.Empty for no short name.
-            More than one short name can be separated by commas or spaces.
-            This property should not be set for DefaultArgumentAttributes.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.CommandLine.ArgumentAttribute.HelpText">
-            <summary>
-            The help text for the argument.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.CommandLine.ArgumentAttribute.Purpose">
-            <summary>
-            Allows the GUI or other tools to inspect the intended purpose of the argument and pick a correct custom control.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.ArgumentType">
-            <summary>
-            Used to control parsing of command line arguments.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.ArgumentType.Required">
-            <summary>
-            Indicates that this field is required. An error will be displayed
-            if it is not present when parsing arguments.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.ArgumentType.Unique">
-            <summary>
-            Only valid in conjunction with Multiple.
-            Duplicate values will result in an error.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.ArgumentType.Multiple">
-            <summary>
-            Indicates that the argument may be specified more than once.
-            Only valid if the argument is a collection
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.ArgumentType.AtMostOnce">
-            <summary>
-            The default type for non-collection arguments.
-            The argument is not required, but an error will be reported if it is specified more than once.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.ArgumentType.LastOccurrenceWins">
-            <summary>
-            For non-collection arguments, when the argument is specified more than
-            once no error is reported and the value of the argument is the last
-            value which occurs in the argument list.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.ArgumentType.MultipleUnique">
-            <summary>
-            The default type for collection arguments.
-            The argument is permitted to occur multiple times, but duplicate
-            values will cause an error to be reported.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdLexer.GetToken(System.Text.StringBuilder)">
-            <summary>
-            Consume the characters of the next token and append them to the string builder.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdQuoter.QuoteValue(System.String,System.Text.StringBuilder,System.Boolean)">
-            <summary>
-            Returns true if it quoted.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.ErrorReporter">
-            <summary>
-            A delegate used in error reporting.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.ICommandLineComponentFactory">
-             <summary>
-             An IComponentFactory that is used in the command line.
-            
-             This allows components to be created by name, signature type, and a settings string.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.CmdParser">
-             <summary>
-             Parser for command line arguments.
-            
-             The parser specification is inferred from the instance fields of the object
-             specified as the destination of the parse.
-             Valid argument types are: int, uint, string, bool, enums
-             Also argument types of Array of the above types are also valid.
-            
-             Error checking options can be controlled by adding a ArgumentAttribute
-             to the instance fields of the destination object.
-            
-             At most one field may be marked with the DefaultArgumentAttribute
-             indicating that arguments without a '-' or '/' prefix will be parsed as that argument.
-            
-             If not specified then the parser will infer default options for parsing each
-             instance field. The default long name of the argument is the field name. The
-             default short name is the first character of the long name. Long names and explicitly
-             specified short names must be unique. Default short names will be used provided that
-             the default short name does not conflict with a long name or an explicitly
-             specified short name.
-            
-             Arguments which are array types are collection arguments. Collection
-             arguments can be specified multiple times.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.ParseArguments(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.Object)">
-            <summary>
-            Parses a command line. This assumes that the .exe name has been stripped off.
-            Errors are output on Console.Error.
-            Use ArgumentAttributes to control parsing behavior.
-            </summary>
-            <param name="env"> The host environment</param>
-            <param name="settings">The command line</param>
-            <param name="destination">The object to receive the options</param>
-            <returns>true if no errors were detected</returns>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.ParseArguments(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.Object,System.Type,Microsoft.ML.CommandLine.ErrorReporter)">
-            <summary>
-            Parses a command line. This assumes that the .exe name has been stripped off.
-            Use ArgumentAttributes to control parsing behavior.
-            </summary>
-            <param name="env"> The host environment</param>
-            <param name="settings">The command line</param>
-            <param name="destination">The object to receive the options</param>
-            <param name="destinationType">The type of 'destination'</param>
-            <param name="reporter"> The destination for parse errors. </param>
-            <returns>true if no errors were detected</returns>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.ParseArguments(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.Object,Microsoft.ML.CommandLine.ErrorReporter)">
-            <summary>
-            Parses a command line. This assumes that the exe name has been stripped off.
-            Use ArgumentAttributes to control parsing behavior.
-            </summary>
-            <param name="env"> The host environment</param>
-            <param name="settings">The command line</param>
-            <param name="destination">The object to receive the options</param>
-            <param name="reporter"> The destination for parse errors. </param>
-            <returns>true if no errors were detected</returns>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.IsNumericType(System.Type)">
-            <summary>
-            Check whether a certain type is numeric.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.ArgumentsUsage(Microsoft.ML.Runtime.IHostEnvironment,System.Type,System.Object,System.Boolean,System.Nullable{System.Int32})">
-            <summary>
-            Returns a Usage string for command line argument parsing.
-            Use ArgumentAttributes to control parsing behavior.
-            </summary>
-            <param name="env"> The host environment. </param>
-            <param name="type"> The type of the arguments to display usage for. </param>
-            <param name="defaults"> The default values. </param>
-            <param name="showRsp"> Whether to show the @file item. </param>
-            <param name="columns"> The number of columns to format the output to. </param>
-            <returns> Printable string containing a user friendly description of command line arguments. </returns>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.ParseArgumentList(Microsoft.ML.CommandLine.CmdParser.ArgumentInfo,System.String[],System.Object,Microsoft.ML.CommandLine.CmdParser.ArgValue[])">
-            <summary>
-            Parses an argument list into an object
-            </summary>
-            <param name="info"></param>
-            <param name="strs"></param>
-            <param name="destination"></param>
-            <param name="values"></param>
-            <returns> true if successful </returns>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.Parse(Microsoft.ML.CommandLine.CmdParser.ArgumentInfo,System.String[],System.Object)">
-            <summary>
-            Parses an argument list.
-            </summary>
-            <param name="info"></param>
-            <param name="strs"> The arguments to parse. </param>
-            <param name="destination"> The destination of the parsed arguments. </param>
-            <returns> true if no parse errors were encountered. </returns>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.AppendCustomItem(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.CommandLine.CmdParser.ArgumentInfo,System.Object,Microsoft.ML.CommandLine.SettingsFlags,System.Text.StringBuilder)">
-            <summary>
-            GetSettingsCore handles the top-level case. This handles the nested custom record case.
-            It deals with custom "unparse" functionality, as well as quoting. It also appends to a StringBuilder
-            instead of returning a string.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.GetUsageString(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.CommandLine.CmdParser.ArgumentInfo,System.Boolean,System.Nullable{System.Int32})">
-            <summary>
-            A user friendly usage string describing the command line argument syntax.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.CmdParser.CreateComponentFactory(System.Type,System.Type,System.String)">
-            <summary>
-            Creates an ICommandLineComponentFactory given the factory type, signature type,
-            and a command line string.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.CmdParser.ArgInfo.Arg._arg">
-            <summary>
-            This class exposes those parts of this wrapped <see cref="T:Microsoft.ML.CommandLine.CmdParser.Argument"/> appropriate
-            for public consumption.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.CmdParser.ComponentFactoryFactory">
-            <summary>
-            A factory class for creating IComponentFactory instances.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.DefaultArgumentAttribute">
-            <summary>
-            Indicates that this argument is the default argument.
-            '/' or '-' prefix only the argument value is specified.
-            The ShortName property should not be set for DefaultArgumentAttribute
-            instances. The LongName property is used for usage text only and
-            does not affect the usage of the argument.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CommandLine.DefaultArgumentAttribute.#ctor(Microsoft.ML.CommandLine.ArgumentType)">
-            <summary>
-            Indicates that this argument is the default argument.
-            </summary>
-            <param name="type"> Specifies the error checking to be done on the argument. </param>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.EnumValueDisplayAttribute">
-            <summary>
-            On an enum value - specifies the display name.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.CommandLine.HideEnumValueAttribute">
-            <summary>
-            On an enum value - indicates that the value should not be shown in help or UI.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.SpecialPurpose.ColumnSelector">
-            <summary>
-            This is used to specify a column mapping of a data transform.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.SpecialPurpose.MultilineText">
-            <summary>
-            This is meant to be a large text (like a c# code block, for example).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.CommandLine.SpecialPurpose.ColumnName">
-            <summary>
-            This is used to specify a column mapping of a data transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.AssemblyLoadingUtils.LoadAndRegister(Microsoft.ML.Runtime.IHostEnvironment,System.String[])">
-            <summary>
-            Make sure the given assemblies are loaded and that their loadable classes have been catalogued.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.AssemblyLoadingUtils.LoadAssembly(Microsoft.ML.Runtime.IHostEnvironment,System.String)">
-            <summary>
-            Given an assembly path, load the assembly and register it with the ComponentCatalog.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.AssemblyLoadingUtils.CanContainComponents(System.Reflection.Assembly)">
-            <summary>
-            Checks whether <paramref name="assembly"/> references the assembly containing LoadableClassAttributeBase,
-            and therefore can contain components.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentCatalog">
-            <summary>
-            This catalogs instantiable components (aka, loadable classes). Components are registered via
-            a descendant of <see cref="T:Microsoft.ML.LoadableClassAttributeBase"/>, identifying the names and signature types under which the component
-            type should be registered. Signatures are delegate types that return void and specify that parameter
-            types for component instantiation. Each component may also specify an "arguments object" that should
-            be provided at instantiation time.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo">
-            <summary>
-            Provides information on an instantiable component, aka, loadable class.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.Key">
-            <summary>
-            Used for dictionary lookup based on signature and name.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.ExtraArgCount">
-            <summary>
-            Count of component construction arguments, NOT including the arguments object (if there is one).
-            This matches the number of arguments for the signature type delegate(s).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.LoaderType">
-            <summary>
-            The type that contains the construction method, whether static Instance property,
-            static Create method, or constructor.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.Summary">
-            <summary>
-            Summary of the component.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.UserName">
-            <summary>
-            UserName may be null or empty, indicating that it should be hidden in UI.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.IsHidden">
-            <summary>
-            Whether this is a "hidden" component, that generally shouldn't be displayed
-            to users.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.LoadNames">
-            <summary>
-            All load names. The first is the default.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.InstanceGetter">
-            <summary>
-            The static property that returns an instance of this loadable class.
-            This creation method does not support an arguments class.
-            Only one of Ctor, Create and InstanceGetter can be non-null.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.Constructor">
-            <summary>
-            The constructor to create an instance of this loadable class.
-            This creation method supports an arguments class.
-            Only one of Ctor, Create and InstanceGetter can be non-null.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.CreateMethod">
-            <summary>
-            The static method that creates an instance of this loadable class.
-            This creation method supports an arguments class.
-            Only one of Ctor, Create and InstanceGetter can be non-null.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.DocName">
-            <summary>
-            A name of an embedded resource containing documentation for this
-            loadable class. This is non-null only in the event that we have
-            verified the assembly of <see cref="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.LoaderType"/> actually contains
-            this resource.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.ArgType">
-            <summary>
-            The type that contains the arguments to the component.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.CreateInstance(Microsoft.ML.Runtime.IHostEnvironment,System.Object,System.Object[])">
-            <summary>
-            Create an instance, given the arguments object and arguments to the signature delegate.
-            The args should be non-null iff ArgType is non-null. The length of the extra array should
-            match the number of parameters for the signature delegate. When that number is zero, extra
-            may be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.CreateInstance``1(Microsoft.ML.Runtime.IHostEnvironment,System.Object,System.Object[])">
-            <summary>
-            Create an instance, given the arguments object and arguments to the signature delegate.
-            The args should be non-null iff ArgType is non-null. The length of the extra array should
-            match the number of parameters for the signature delegate. When that number is zero, extra
-            may be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.CreateInstance``1(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Create an instance with default arguments.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.CreateArguments">
-            <summary>
-            If <see cref="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.ArgType"/> is not null, returns a new default instance of <see cref="P:Microsoft.ML.Runtime.ComponentCatalog.LoadableClassInfo.ArgType"/>.
-            Otherwise, returns null.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentCatalog.EntryPointInfo">
-            <summary>
-            A description of a single entry point.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentCatalog.ComponentInfo">
-            <summary>
-            A description of a single component.
-            The 'component' is a non-standalone building block that is used to parametrize entry points or other ML.NET components.
-            For example, 'Loss function', or 'similarity calculator' could be components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.RegisterAssembly(System.Reflection.Assembly,System.Boolean)">
-            <summary>
-            Registers all the components in the specified assembly by looking for loadable classes
-            and adding them to the catalog.
-            </summary>
-            <param name="assembly">
-            The assembly to register.
-            </param>
-            <param name="throwOnError">
-            true to throw an exception if there are errors with registering the components;
-            false to skip any errors.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.GetAllClasses">
-            <summary>
-            Return an array containing information for all instantiable components.
-            If provided, the given set of assemblies is loaded first.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.GetAllDerivedClasses(System.Type,System.Type)">
-            <summary>
-            Return an array containing information for instantiable components with the given
-            signature and base type. If provided, the given set of assemblies is loaded first.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.GetAllSignatureTypes">
-            <summary>
-            Return an array containing all the known signature types. If provided, the given set of assemblies
-            is loaded first.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.SignatureToString(System.Type)">
-            <summary>
-            Returns a string name for a given signature type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.AllEntryPoints">
-            <summary>
-            Get all registered entry points.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.TryFindComponentCaseInsensitive(System.Type,System.String,Microsoft.ML.Runtime.ComponentCatalog.ComponentInfo@)">
-            <summary>
-            Akin to <see cref="M:Microsoft.ML.Runtime.ComponentCatalog.TryFindComponent(System.Type,System.String,Microsoft.ML.Runtime.ComponentCatalog.ComponentInfo@)"/>, except if the regular (case sensitive) comparison fails, it will
-            attempt to back off to a case-insensitive comparison.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.GetAllComponentKinds">
-            <summary>
-            Returns all valid component kinds.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.GetAllComponents(System.String)">
-            <summary>
-            Returns all components of the specified kind.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.GetAllComponents(System.Type)">
-            <summary>
-            Returns all components that implement the specified interface.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ComponentCatalog._nameRegex">
-            <summary>
-            The valid names for the components and entry points must consist of letters, digits, underscores and dots,
-            and begin with a letter or digit.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.CreateInstance``1(Microsoft.ML.Runtime.IHostEnvironment,System.Type,System.String,System.String,System.Object[])">
-            <summary>
-            Create an instance of the indicated component with the given extra parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.TryCreateInstance``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.String,System.String,System.Object[])">
-            <summary>
-            Try to create an instance of the indicated component and settings with the given extra parameters.
-            If there is no such component in the catalog, returns false. Any other error results in an exception.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.ParseArguments(Microsoft.ML.Runtime.IHostEnvironment,System.Object,System.String,System.String)">
-            <summary>
-            Parses arguments using CmdParser. If there's a problem, it throws an InvalidOperationException,
-            with a message giving usage.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="args">The argument object</param>
-            <param name="settings">The settings string</param>
-            <param name="name">The name is used for error reporting only</param>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentCatalog.CanContainExtensions(System.Reflection.Assembly)">
-            <summary>
-            Gets a value indicating whether <paramref name="assembly"/> can contain extensions.
-            </summary>
-            <remarks>
-            All ML.NET product assemblies won't contain extensions.
-            </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IComponentFactory">
-            <summary>
-            This is a token interface that all component factories must implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IComponentFactory`1">
-            <summary>
-            An interface for creating a component with no extra parameters (other than an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IComponentFactory`2">
-            <summary>
-            An interface for creating a component when we take one extra parameter (and an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IComponentFactory`3">
-            <summary>
-            An interface for creating a component when we take two extra parameters (and an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IComponentFactory`4">
-            <summary>
-            An interface for creating a component when we take three extra parameters (and an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentFactoryUtils">
-            <summary>
-            A utility class for creating <see cref="T:Microsoft.ML.Runtime.IComponentFactory"/> instances.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentFactoryUtils.CreateFromFunction``1(System.Func{Microsoft.ML.Runtime.IHostEnvironment,``0})">
-            <summary>
-            Creates a component factory with no extra parameters (other than an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>)
-            that simply wraps a delegate which creates the component.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentFactoryUtils.CreateFromFunction``2(System.Func{Microsoft.ML.Runtime.IHostEnvironment,``0,``1})">
-            <summary>
-            Creates a component factory when we take one extra parameter (and an
-            <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>) that simply wraps a delegate which creates the component.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentFactoryUtils.CreateFromFunction``3(System.Func{Microsoft.ML.Runtime.IHostEnvironment,``0,``1,``2})">
-            <summary>
-            Creates a component factory when we take two extra parameters (and an
-            <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>) that simply wraps a delegate which creates the component.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ComponentFactoryUtils.CreateFromFunction``4(System.Func{Microsoft.ML.Runtime.IHostEnvironment,``0,``1,``2,``3})">
-            <summary>
-            Creates a component factory when we take three extra parameters (and an
-            <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>) that simply wraps a delegate which creates the component.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentFactoryUtils.SimpleComponentFactory`1">
-            <summary>
-            A class for creating a component with no extra parameters (other than an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>)
-            that simply wraps a delegate which creates the component.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentFactoryUtils.SimpleComponentFactory`2">
-            <summary>
-            A class for creating a component when we take one extra parameter
-            (and an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>) that simply wraps a delegate which
-            creates the component.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentFactoryUtils.SimpleComponentFactory`3">
-            <summary>
-            A class for creating a component when we take one extra parameter
-            (and an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>) that simply wraps a delegate which
-            creates the component.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ComponentFactoryUtils.SimpleComponentFactory`4">
-            <summary>
-            A class for creating a component when we take three extra parameters
-            (and an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>) that simply wraps a delegate which
-            creates the component.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IChannelProvider">
-            <summary>
-            A channel provider can create new channels and generic information pipes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IChannelProvider.Start(System.String)">
-            <summary>
-            Start a standard message channel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IChannelProvider.StartPipe``1(System.String)">
-            <summary>
-            Start a generic information pipe.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentExtensions">
-            <summary>
-            Utility class for IHostEnvironment
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentExtensions.OpenInputFile(Microsoft.ML.Runtime.IHostEnvironment,System.String)">
-            <summary>
-            Return a file handle for an input "file".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentExtensions.CreateOutputFile(Microsoft.ML.Runtime.IHostEnvironment,System.String)">
-            <summary>
-            Create an output "file" and return a handle to it.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IHostEnvironment">
-            <summary>
-            The host environment interface creates hosts for components. Note that the methods of
-            this interface should be called from the main thread for the environment. To get an environment
-            to service another thread, call Fork and pass the return result to that thread.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IHostEnvironment.Register(System.String,System.Nullable{System.Int32},System.Nullable{System.Boolean})">
-            <summary>
-            Create a host with the given registration name.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IHostEnvironment.ComponentCatalog">
-            <summary>
-            The catalog of loadable components (<see cref="T:Microsoft.ML.LoadableClassAttribute"/>) that are available in this host.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ICancelable.CancelExecution">
-            <summary>
-            Signal to stop execution in all the hosts.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ICancelable.IsCanceled">
-            <summary>
-            Flag which indicates host execution has been stopped.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IHostEnvironmentInternal.Seed">
-            <summary>
-            The seed property that, if assigned, makes components requiring randomness behave deterministically.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IHostEnvironmentInternal.TempFilePath">
-            <summary>
-            The location for the temp files created by ML.NET
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IHostEnvironmentInternal.FallbackToCpu">
-            <summary>
-            Allow falling back to run on CPU if couldn't run on GPU.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IHostEnvironmentInternal.GpuDeviceId">
-            <summary>
-            GPU device ID to run execution on, <see langword="null" /> to run on CPU.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IHost">
-            <summary>
-            A host is coupled to a component and provides random number generation and concurrency guidance.
-            Note that the random number generation, like the host environment methods, should be accessed only
-            from the main thread for the component.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IHost.Rand">
-            <summary>
-            The random number generator issued to this component. Note that random number
-            generators are NOT thread safe.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IPipe`1">
-            <summary>
-            A generic information pipe. Note that pipes are disposable. Generally, Done should
-            be called before disposing to signal a normal shut-down of the pipe, as opposed
-            to an aborted completion.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IPipe`1.Send(`0)">
-            <summary>
-            The caller relinquishes ownership of the <paramref name="msg"/> object.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ChannelMessageKind">
-            <summary>
-            The kinds of standard channel messages.
-            Note: These values should never be changed. We can add new kinds, but don't change these values.
-            Other code bases, including native code for other projects depends on these values.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.MessageSensitivity">
-            <summary>
-            A flag that can be attached to a message or exception to indicate that
-            it has a certain class of sensitive data. By default, messages should be
-            specified as being of unknown sensitivity, which is to say, every
-            sensitivity flag is turned on, corresponding to <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            Messages that are totally safe should be marked as <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.None"/>.
-            However, if, say, one prints out data from a file (for example, this might
-            be done when expressing parse errors), it should be flagged in that case
-            with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.UserData"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.MessageSensitivity.None">
-            <summary>
-            For non-sensitive data.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.MessageSensitivity.UserData">
-            <summary>
-            For messages that may contain user-data from data files.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.MessageSensitivity.Schema">
-            <summary>
-            For messages that contain information like column names from datasets.
-            Note that, despite being part of the schema, annotations should be treated
-            as user data, since it is often derived from user data. Note also that
-            types, despite being part of the schema, are not considered "sensitive"
-            as such, in the same way that column names might be.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown">
-            <summary>
-            The default value, unknown, is treated as if everything is sensitive.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.MessageSensitivity.All">
-            <summary>
-            An alias for <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>, so it is functionally the same, except
-            semantically it communicates the idea that we want all bits set.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ChannelMessage">
-            <summary>
-            A channel message.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ChannelMessage.Message">
-            <summary>
-            Line endings may not be normalized.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IChannel">
-            <summary>
-            A standard communication channel.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostExtensions">
-            <summary>
-            General utility extension methods for objects in the "host" universe, i.e.,
-            <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>, <see cref="T:Microsoft.ML.Runtime.IHost"/>, and <see cref="T:Microsoft.ML.Runtime.IChannel"/>
-            that do not belong in more specific areas, for example, <see cref="T:Microsoft.ML.Runtime.Contracts"/> or
-            component creation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Trace(Microsoft.ML.Runtime.IChannel,System.String)">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Trace(Microsoft.ML.Runtime.MessageSensitivity,System.String)"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Trace(Microsoft.ML.Runtime.IChannel,System.String,System.Object[])">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Trace(Microsoft.ML.Runtime.MessageSensitivity,System.String,System.Object[])"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Error(Microsoft.ML.Runtime.IChannel,System.String)">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Error(Microsoft.ML.Runtime.MessageSensitivity,System.String)"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Error(Microsoft.ML.Runtime.IChannel,System.String,System.Object[])">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Error(Microsoft.ML.Runtime.MessageSensitivity,System.String,System.Object[])"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Warning(Microsoft.ML.Runtime.IChannel,System.String)">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Warning(Microsoft.ML.Runtime.MessageSensitivity,System.String)"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Warning(Microsoft.ML.Runtime.IChannel,System.String,System.Object[])">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Warning(Microsoft.ML.Runtime.MessageSensitivity,System.String,System.Object[])"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Info(Microsoft.ML.Runtime.IChannel,System.String)">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Info(Microsoft.ML.Runtime.MessageSensitivity,System.String)"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostExtensions.Info(Microsoft.ML.Runtime.IChannel,System.String,System.Object[])">
-            <summary>
-            Convenience variant of <see cref="M:Microsoft.ML.Runtime.IChannel.Info(Microsoft.ML.Runtime.MessageSensitivity,System.String,System.Object[])"/>
-            setting <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IProgressChannelProvider">
-             <summary>
-             This is a factory interface for <see cref="T:Microsoft.ML.Runtime.IProgressChannel"/>.
-             Both <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> and <see cref="T:Microsoft.ML.Runtime.IProgressChannel"/> implement this interface,
-             to allow for nested progress reporters.
-            
-             REVIEW: make <see cref="T:Microsoft.ML.Runtime.IChannelProvider"/> implement this, instead of the environment?
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IProgressChannelProvider.StartProgressChannel(System.String)">
-            <summary>
-            Create a progress channel for a computation named <paramref name="name"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IProgressChannel">
-             <summary>
-             A common interface for progress reporting.
-             It is expected that the progress channel interface is used from only one thread.
-            
-             Supported workflow:
-             1) Create the channel via <see cref="M:Microsoft.ML.Runtime.IProgressChannelProvider.StartProgressChannel(System.String)"/>.
-             2) Call <see cref="M:Microsoft.ML.Runtime.IProgressChannel.SetHeader(Microsoft.ML.Runtime.ProgressHeader,System.Action{Microsoft.ML.Runtime.IProgressEntry})"/> as many times as desired (including 0).
-                   Each call to <see cref="M:Microsoft.ML.Runtime.IProgressChannel.SetHeader(Microsoft.ML.Runtime.ProgressHeader,System.Action{Microsoft.ML.Runtime.IProgressEntry})"/> supersedes the previous one.
-             3) Report checkpoints (0 or more) by calling <see cref="M:Microsoft.ML.Runtime.IProgressChannel.Checkpoint(System.Nullable{System.Double}[])"/>.
-             4) Repeat steps 2-3 as often as necessary.
-             5) Dispose the channel.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IProgressChannel.SetHeader(Microsoft.ML.Runtime.ProgressHeader,System.Action{Microsoft.ML.Runtime.IProgressEntry})">
-             <summary>
-             Set up the reporting structure:
-             - Set the 'header' of the progress reports, defining which progress units and metrics are going to be reported.
-             - Provide a thread-safe delegate to be invoked whenever anyone needs to know the progress.
-            
-             It is acceptable to call <see cref="M:Microsoft.ML.Runtime.IProgressChannel.SetHeader(Microsoft.ML.Runtime.ProgressHeader,System.Action{Microsoft.ML.Runtime.IProgressEntry})"/> multiple times (or none), regardless of whether the calculation is running
-             or not. Because of synchronization, the computation should not deny calls to the 'old' <paramref name="fillAction"/>
-             delegates even after a new one is provided.
-             </summary>
-             <param name="header">The header object.</param>
-             <param name="fillAction">The delegate to provide actual progress. The <see cref="T:Microsoft.ML.Runtime.IProgressEntry"/> parameter of
-             the delegate will correspond to the provided <paramref name="header"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IProgressChannel.Checkpoint(System.Nullable{System.Double}[])">
-             <summary>
-             Submit a 'checkpoint' entry. These entries are guaranteed to be delivered to the progress listener,
-             if it is interested. Typically, this would contain some intermediate metrics, that are only calculated
-             at certain moments ('checkpoints') of the computation.
-            
-             For example, SDCA may report a checkpoint every time it computes the loss, or LBFGS may report a checkpoint
-             every iteration.
-            
-             The only parameter, <paramref name="values"/>, is interpreted in the following fashion:
-             * First MetricNames.Length items, if present, are metrics.
-             * Subsequent ProgressNames.Length items, if present, are progress units.
-             * Subsequent ProgressNames.Length items, if present, are progress limits.
-             * If any more values remain, an exception is thrown.
-             </summary>
-             <param name="values">The metrics, progress units and progress limits.</param>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressHeader">
-            <summary>
-            This is the 'header' of the progress report.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressHeader.UnitNames">
-            <summary>
-            These are the names of the progress 'units', from the least granular to the most granular.
-            For example, neural network might have {'epoch', 'example'} and FastTree might have {'tree', 'split', 'feature'}.
-            Will never be null, but can be empty.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressHeader.MetricNames">
-            <summary>
-            These are the names of the reported metrics. For example, this could be the 'loss', 'weight updates/sec' etc.
-            Will never be null, but can be empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressHeader.#ctor(System.String[],System.String[])">
-            <summary>
-            Initialize the header. This will take ownership of the arrays.
-            Both arrays can be null, even simultaneously. This 'empty' header indicated that the calculation doesn't report
-            any units of progress, but the tracker can still track start, stop and elapsed time. Of course, if there's any
-            progress or metrics to report, it is always better to report them.
-            </summary>
-            <param name="metricNames">The metrics that the calculation reports. These are completely independent, and there
-            is no contract on whether the metric values should increase or not. As naming convention, <paramref name="metricNames"/>
-            can have multiple words with spaces, and should be title-cased.</param>
-            <param name="unitNames">The names of the progress units, listed from least granular to most granular.
-            The idea is that the progress should be lexicographically increasing (like [0,0], [0,10], [1,0], [1,15], [2,5] etc.).
-            As naming convention, <paramref name="unitNames"/> should be lower-cased and typically plural
-            (for example, iterations, clusters, examples). </param>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressHeader.#ctor(System.String[])">
-            <summary>
-            A constructor for no metrics, just progress units. As naming convention, <paramref name="unitNames"/> should be lower-cased
-            and typically plural (for example, iterations, clusters, examples).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IProgressEntry">
-            <summary>
-            A metric/progress holder item.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IProgressEntry.SetProgress(System.Int32,System.Double)">
-            <summary>
-            Set the progress value for the index <paramref name="index"/> to <paramref name="value"/>,
-            and the limit value for the progress becomes 'unknown'.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IProgressEntry.SetProgress(System.Int32,System.Double,System.Double)">
-            <summary>
-            Set the progress value for the index <paramref name="index"/> to <paramref name="value"/>,
-            and the limit value to <paramref name="lim"/>. If <paramref name="lim"/> is a NAN, it is set to null instead.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.IProgressEntry.SetMetric(System.Int32,System.Double)">
-            <summary>
-            Sets the metric with index <paramref name="index"/> to <paramref name="value"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting">
-            <summary>
-            The progress reporting classes used by <see cref="T:Microsoft.ML.Runtime.HostEnvironmentBase`1"/> descendants.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel">
-            <summary>
-            The progress channel for <see cref="T:Microsoft.ML.Runtime.ConsoleEnvironment"/>.
-            This is coupled with a <see cref="T:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker"/> that aggregates all events and returns them on demand.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel._headerAndAction">
-            <summary>
-            The pair of (header, fill action) is updated atomically.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel._tracker">
-            <summary>
-            Normally this should be readonly field, but we want to null it in Dispose to prevent memory leaking.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel.#ctor(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.Runtime.ProgressReporting.ProgressTracker,System.String)">
-            <summary>
-            Initialize a <see cref="T:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel"/> for the process identified by <paramref name="computationName"/>.
-            </summary>
-            <param name="ectx">The exception context.</param>
-            <param name="tracker">The tracker to couple with.</param>
-            <param name="computationName">The computation name.</param>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel.GetProgress">
-            <summary>
-            Pull the current progress by invoking the fill delegate, if any.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel.SubChannel">
-             <summary>
-             This is a 'derived' or 'subordinate' progress channel.
-            
-             The subordinates' Start/Stop events and checkpoints will not be propagated.
-             When the status is requested, all of the subordinate channels are also invoked,
-             and the resulting metrics are then returned in the order of their 'subordinate level'.
-             If there's more than one channel with the same level, the order is not defined.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel.SubChannel._headerAndAction">
-            <summary>
-            The pair of (header, fill action) is updated atomically.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressChannel.SubChannel.GetProgress">
-            <summary>
-            Pull the current progress by invoking the fill delegate, if any.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker">
-             <summary>
-             This class listens to the progress reporting channels, caches all checkpoints and
-             start/stop events and, on demand, requests current progress on all active calculations.
-            
-             The public methods of this class should only be called from one thread.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker._pendingEvents">
-            <summary>
-            Log of pending events.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker._infos">
-            <summary>
-            For each calculation, its properties.
-            This list is protected by <see cref="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker._lock"/>, and it's updated every time a new calculation starts.
-            The entries are cleaned up when the start and stop events are reported (that is, after the first
-            pull request after the calculation's 'Stop' event).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker._index">
-            <summary>
-            This is a 'process index' that gets incremented whenever a new calculation is started.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker._namesUsed">
-            <summary>
-            The set of used process names.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker.CalculationInfo">
-             <summary>
-             This class is an 'event log' for one calculation.
-            
-             Every time a calculation is 'started', it gets its own log, so if there are multiple 'start' calls,
-             there will be multiple logs.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker.CalculationInfo.Index">
-            <summary>
-            Auto-assigned index to serve as a unique ID.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker.CalculationInfo.Name">
-            <summary>
-            Name is auto-modified from the calculation name provided by the pipe.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker.CalculationInfo.PendingCheckpoints">
-            <summary>
-            A log of pending checkpoint entries.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker.CalculationInfo.IsFinished">
-            <summary>
-            Whether the calculation has finished.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker.GetAllProgress">
-             <summary>
-             Get progress reports from all current calculations.
-             For every calculation the following events will be returned:
-             * A start event.
-             * Each checkpoint.
-             * If the calculation is finished, the stop event.
-            
-             Each of the above events will be returned exactly once.
-             If, for one calculation, there's no events in the above categories, the tracker will
-             request ('pull') the current progress and return this as an event.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry">
-            <summary>
-            An array-backed implementation of <see cref="T:Microsoft.ML.Runtime.IProgressEntry"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.Header">
-            <summary>
-            The header (names of metrics and units).
-            The contents of the header should be treated as read-only. The calculation itself doesn't even
-            need to access the header, since it will know it anyway.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.IsCheckpoint">
-            <summary>
-            Whether the progress entry is a 'checkpoint' (that is, it's being pushed by the component).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.Progress">
-             <summary>
-             The actual progress (amount of completed units), in the units that are contained in the header.
-             Parallel to the header's <see cref="F:Microsoft.ML.Runtime.ProgressHeader.UnitNames"/>. Null value indicates 'not applicable now'.
-            
-             The computation should not modify these arrays directly, and instead rely on <see cref="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.SetMetric(System.Int32,System.Double)"/>,
-             <see cref="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.SetProgress(System.Int32,System.Double)"/> and <see cref="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.SetProgress(System.Int32,System.Double,System.Double)"/>.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.ProgressLim">
-            <summary>
-            The lim values of each progress unit.
-            Parallel to the header's <see cref="F:Microsoft.ML.Runtime.ProgressHeader.UnitNames"/>. Null value indicates unbounded or unknown.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.Metrics">
-            <summary>
-            The reported metrics. Parallel to the header's <see cref="F:Microsoft.ML.Runtime.ProgressHeader.MetricNames"/>.
-            Null value indicates unknown.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.SetProgress(System.Int32,System.Double)">
-            <summary>
-            Set the progress value for the index <paramref name="index"/> to <paramref name="value"/>,
-            and the limit value for the progress becomes 'unknown'.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.SetProgress(System.Int32,System.Double,System.Double)">
-            <summary>
-            Set the progress value for the index <paramref name="index"/> to <paramref name="value"/>,
-            and the limit value to <paramref name="lim"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.SetMetric(System.Int32,System.Double)">
-            <summary>
-            Sets the metric with index <paramref name="index"/> to <paramref name="value"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ProgressReporting.ProgressEntry.#ctor(System.Boolean,Microsoft.ML.Runtime.ProgressHeader)">
-            <summary>
-            Creates the progress entry corresponding to a given header.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ProgressReporting.ProgressEvent">
-            <summary>
-            An event about calculation progress. It could be either start/stop of the calculation, or a progress entry.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ServerChannel">
-            <summary>
-            Instances of this class are used to set up a bundle of named delegates. These
-            delegates are registered through <see cref="M:Microsoft.ML.Runtime.ServerChannel.Register``1(System.String,System.Func{``0})"/> and its overloads.
-            Once all registrations are done, <see cref="M:Microsoft.ML.Runtime.ServerChannel.Publish"/> is called and a message
-            of type <see cref="T:Microsoft.ML.Runtime.ServerChannel.Bundle"/> is sent through the input channel
-            provider. The intended use case is that any information surfaced through these
-            delegates will be published in some fashion, with the target scenario being
-            that the library will publish some sort of restful API.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ServerChannel.ThisIfActiveOrNull">
-            <summary>
-            Returns either this object, or <c>null</c> if there are no listeners on this server
-            channel. This can be used in conjunction with the <c>?.</c> operator to have more
-            performant though more robust calls to <see cref="M:Microsoft.ML.Runtime.ServerChannel.Register``1(System.String,System.Func{``0})"/> and
-            <see cref="M:Microsoft.ML.Runtime.ServerChannel.Publish"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ServerChannel.Start(Microsoft.ML.Runtime.IChannelProvider,System.String)">
-            <summary>
-            Starts a new server channel.
-            </summary>
-            <param name="provider">The channel provider, on which to send
-            the notification that a server is being constructed</param>
-            <param name="identifier">A semi-unique identifier for this
-            "bundle" that is being constructed</param>
-            <returns>The constructed server channel, or <c>null</c> if there
-            was no listeners for server channels registered on <paramref name="provider"/></returns>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ServerChannel.Publish">
-            <summary>
-            Finalizes all registrations of delegates, and pipes the bundle of objects
-            in a <see cref="T:Microsoft.ML.Runtime.ServerChannel.Bundle"/> up through the pipe to be consumed by any
-            listeners.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ServerChannel.IServerFactory">
-            <summary>
-            Entry point factory for creating <see cref="T:Microsoft.ML.Runtime.ServerChannel.IServer"/> instances.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ServerChannel.IServer">
-             <summary>
-             Classes that want to publish the bundles from server channels in some fashion should implement
-             this interface. The intended simple use case is that this will be some form of in-process web
-             server, and then when disposed, they should stop themselves.
-            
-             Note that the primary communication with the server from the client code's perspective is not
-             through method calls on this interface, but rather communication through an
-             <see cref="T:Microsoft.ML.Runtime.IPipe`1"/> that the server will listen to throughout its
-             lifetime.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ServerChannel.IServer.BaseAddress">
-            <summary>
-            This should return the base address where the server is. If this server is not actually
-            serving content at any URL, this property should be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ServerChannel.CreateDefaultServerFactoryOrNull(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Creates what might be considered a good "default" server factory, if possible,
-            or <c>null</c> if no good default was possible. A <c>null</c> value could be returned,
-            for example, if a user opted to remove all implementations of <see cref="T:Microsoft.ML.Runtime.ServerChannel.IServer"/> and
-            the associated <see cref="T:Microsoft.ML.Runtime.ServerChannel.IServerFactory"/> for security reasons.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ServerChannel.IPendingBundleNotification">
-            <summary>
-            When a <see cref="T:Microsoft.ML.Runtime.ServerChannel"/> is created, the creation method will send an implementation
-            is a notification sent through an <see cref="T:Microsoft.ML.Runtime.IPipe`1"/>, to indicate that
-            a <see cref="T:Microsoft.ML.Runtime.ServerChannel.Bundle"/> may be pending soon. Listeners that want to receive the bundle to
-            expose it, for example, a web service, should register this interest by passing in an action to be called.
-            If no listener registers interest, the server channel that sent the notification will act
-            differently by, say, acting as a no-op w.r.t. client calls to it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ServerChannel.IPendingBundleNotification.Acknowledge(System.Action{Microsoft.ML.Runtime.ServerChannel.Bundle})">
-            <summary>
-            Any publisher of the named delegates will call this method, upon receiving an instance
-            of this object through the pipe. This method serves two purposes: firstly it detects
-            whether anyone is even interested in publishing anything at all, so that we can just
-            ignore any input delegates in the case where no one is listening (which, we must expect,
-            is the majority of scenarios). The second is that it provides an action to call, once
-            all publishing is complete, and <see cref="M:Microsoft.ML.Runtime.ServerChannel.Publish"/> has been called by the client code.
-            </summary>
-            <param name="toDo">The callback to perform when all named delegates have been registered,
-            and <see cref="M:Microsoft.ML.Runtime.ServerChannel.Publish"/> is called.</param>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ServerChannel.Bundle">
-            <summary>
-            The final bundle of published named delegates that a listener can serve.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ServerChannel.Bundle.NameToFuncs">
-            <summary>
-            This contains a name to delegate mappings. The delegates contained herein are gauranteed to be
-            some variety of <see cref="T:System.Func`1"/>, <see cref="T:System.Func`2"/>,
-            <see cref="T:System.Func`3"/>, etc.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.ServerChannel.Bundle.Identifier">
-            <summary>
-            This should be a more-or-less unique identifier for the type of API this bundle is producing.
-            Its intended use is that it will form part of the URL for the RESTful API, so to the extent that
-            it contains multiple tokens they must be slash delimited.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ServerChannelUtilities.StartServerChannel(Microsoft.ML.Runtime.IChannelProvider,System.String)">
-            <summary>
-            Convenience method for <see cref="M:Microsoft.ML.Runtime.ServerChannel.Start(Microsoft.ML.Runtime.IChannelProvider,System.String)"/> that looks more idiomatic to typical
-            channel creation methods on <see cref="T:Microsoft.ML.Runtime.IChannelProvider"/>.
-            </summary>
-            <param name="provider">The channel provider.</param>
-            <param name="identifier">This is an identifier of the "type" of bundle that is being published,
-            and should form a path with forward-slash '/' delimiters.</param>
-            <returns>The newly created server channel, or <c>null</c> if there was no listener for
-            server channels on <paramref name="provider"/>.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ConsoleEnvironment">
-            <summary>
-            The console environment. As its name suggests, should be limited to those applications that deliberately want
-            console functionality.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ConsoleEnvironment.ConsoleWriter.GetAndPrintAllProgress(Microsoft.ML.Runtime.ProgressReporting.ProgressTracker)">
-            <summary>
-            Query all progress and:
-            * If there's any checkpoint/start/stop event, print all of them.
-            * If there's none, print a dot.
-            * If there's <see cref="F:Microsoft.ML.Runtime.ConsoleEnvironment.ConsoleWriter._maxDots"/> dots, print the current status for all running calculations.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ConsoleEnvironment.ConsoleWriter.EnsureNewLine(System.Boolean)">
-            <summary>
-            If we printed any dots so far, finish the line. This call is expected to be protected by _lock.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ConsoleEnvironment.ConsoleWriter.PrintDot">
-            <summary>
-            Print a progress dot. Returns whether it is 'time' to print more info. This call is expected
-            to be protected by _lock.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ConsoleEnvironment.#ctor(System.Nullable{System.Int32},System.Boolean,Microsoft.ML.Runtime.MessageSensitivity,System.IO.TextWriter,System.IO.TextWriter,System.IO.TextWriter)">
-            <summary>
-            Create an ML.NET <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> for local execution, with console feedback.
-            </summary>
-            <param name="seed">Random seed. Set to <c>null</c> for a non-deterministic environment.</param>
-            <param name="verbose">Set to <c>true</c> for fully verbose logging.</param>
-            <param name="sensitivity">Allowed message sensitivity.</param>
-            <param name="outWriter">Text writer to print normal messages to.</param>
-            <param name="errWriter">Text writer to print error messages to.</param>
-            <param name="testWriter">Optional TextWriter to write messages if the host is a test environment.</param>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ConsoleEnvironment.PrintProgress">
-            <summary>
-            Pull running calculations for their progress and output all messages to the console.
-            If no messages are available, print a dot.
-            If a specified number of dots are printed, print an ad-hoc status of all running calculations.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ConsoleEnvironment.RedirectChannelOutput(System.IO.TextWriter,System.IO.TextWriter)">
-            <summary>
-            Redirects the channel output through the specified writers.
-            </summary>
-            <remarks>This method is not thread-safe.</remarks>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ChannelProviderBase">
-            <summary>
-            Base class for channel providers. This is a common base class for<see cref="T:Microsoft.ML.Runtime.HostEnvironmentBase`1"/>.
-            The ParentFullName, ShortName, and FullName may be null or empty.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.ChannelProviderBase.ExceptionContextKeys">
-            <summary>
-            Data keys that are attached to the exception thrown via the exception context.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ChannelProviderBase.Depth">
-            <summary>
-            The channel depth, NOT host env depth.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.ChannelProviderBase.ContextDescription">
-            <summary>
-            ExceptionContext description.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.ChannelProviderBase.GenerateFullName">
-            <summary>
-            Override this method to change the way full names are constructed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IMessageSource">
-            <summary>
-            Message source (a channel) that generated the message being dispatched.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1">
-            <summary>
-            A basic host environment suited for many environments.
-            This also supports modifying the concurrency factor, provides the ability to subscribe to pipes via the
-            AddListener/RemoveListener methods, and exposes the <see cref="T:Microsoft.ML.Runtime.ProgressReporting.ProgressTracker"/> to
-            query progress.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.HostBase">
-            <summary>
-            Base class for hosts. Classes derived from  <see cref="T:Microsoft.ML.Runtime.HostEnvironmentBase`1"/> may choose
-            to provide their own host class that derives from this class.
-            This encapsulates the random number generator and name information.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentBase`1.HostBase.Register(System.String,System.Nullable{System.Int32},System.Nullable{System.Boolean})">
-            <summary>
-            This method registers and returns the host for the calling component. The generated host is also
-            added to <see cref="F:Microsoft.ML.Runtime.HostEnvironmentBase`1._children"/> and encapsulated by <see cref="T:System.WeakReference"/>. It becomes
-            necessary to remove these hosts when they are reclaimed by the Garbage Collector.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.PipeBase`1">
-            <summary>
-            Base class for implementing <see cref="T:Microsoft.ML.Runtime.IPipe`1"/>. Deriving classes can optionally override
-            the Done() and the DisposeCore() methods. If no overrides are needed, the sealed class
-            <see cref="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.Pipe`1"/> may be used.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.ChannelBase">
-            <summary>
-            A base class for <see cref="T:Microsoft.ML.Runtime.IChannel"/> implementations. A message is dispatched as a
-            <see cref="T:Microsoft.ML.Runtime.ChannelMessage"/>. Deriving classes can optionally override the Done() and the
-            DisposeCore() methods.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.Pipe`1">
-            <summary>
-            An optional implementation of <see cref="T:Microsoft.ML.Runtime.IPipe`1"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.Dispatcher">
-            <summary>
-            Base class for <see cref="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.Dispatcher`1"/>. The master host environment has a
-            map from <see cref="T:System.Type"/> to <see cref="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.Dispatcher"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.HostEnvironmentBase`1.Dispatcher`1">
-            <summary>
-            Strongly typed dispatcher class.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.HostEnvironmentBase`1.Dispatcher`1._listenerAction">
-             <summary>
-             This field is actually used as a <see cref="T:System.MulticastDelegate"/>, which holds the listener actions
-             for all listeners that are currently subscribed. The action itself is an immutable object, so every time
-             any listener subscribes or unsubscribes, the field is replaced with a modified version of the delegate.
-            
-             The field can be null, if no listener is currently subscribed.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.HostEnvironmentBase`1.Dispatcher`1._dispatch">
-            <summary>
-            The dispatch delegate invokes the current dispatching action (wchch calls all current listeners).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentBase`1.#ctor(System.Nullable{System.Int32},System.Boolean,System.String,System.String)">
-            <summary>
-            The main constructor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentBase`1.#ctor(Microsoft.ML.Runtime.HostEnvironmentBase{`0},System.Random,System.Boolean,System.String,System.String)">
-            <summary>
-            This constructor is for forking.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentBase`1.Register(System.String,System.Nullable{System.Int32},System.Nullable{System.Boolean})">
-            <summary>
-            This method registers and returns the host for the calling component. The generated host is also
-            added to <see cref="F:Microsoft.ML.Runtime.HostEnvironmentBase`1._children"/> and encapsulated by <see cref="T:System.WeakReference"/>. It becomes
-            necessary to remove these hosts when they are reclaimed by the Garbage Collector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentBase`1.EnsureDispatcher``1">
-            <summary>
-            This method is called when a channel is created and when a listener is registered.
-            This method is not invoked on every message.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.HostEnvironmentBase`1.PrintMessageNormalized(System.IO.TextWriter,System.String,System.Boolean,System.String)">
-            <summary>
-            Line endings in message may not be normalized, this method provides normalized printing.
-            </summary>
-            <param name="writer">The text writer to write to.</param>
-            <param name="message">The message, which if it contains newlines will be normalized.</param>
-            <param name="removeLastNewLine">If false, then two newlines will be printed at the end,
-            making messages be bracketed by blank lines. If true then only the single newline at the
-            end of a message is printed.</param>
-            <param name="prefix">A prefix that will be written to every line, except the first line.
-            If <paramref name="message"/> contains no newlines then this prefix will not be
-            written at all. This prefix is not written to the newline written if
-            <paramref name="removeLastNewLine"/> is false.</param>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.IExceptionContext">
-            <summary>
-            Interface for "processing" exceptions before they are thrown. This can
-            be used to add context to the exception, wrap the exception in another one,
-            totally replace the exception, etc. It is not legal to return null from
-            Process (unless null was passed in, which really shouldn't happen).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Runtime.IExceptionContext.ContextDescription">
-            <summary>
-            A string describing the context itself.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.Process``1(``0,Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Does standard processing of an exception (typically called after construction
-            but before it is thrown).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.Mark``1(``0)">
-            <summary>
-            Mark the exception by setting <see cref="F:Microsoft.ML.Runtime.Contracts.IsMarkedKey"/> in the exception
-            <see cref="P:System.Exception.Data"/> to 1.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.IsMarked(System.Exception)">
-            <summary>
-            Indicates whether the exception was "marked" the Contracts code.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.MarkSensitive``1(``0,Microsoft.ML.Runtime.MessageSensitivity)">
-            <summary>
-            Exceptions whose message communicates potentially sensitive information should be
-            marked using this method, before they are thrown. Note that if the exception already
-            had this flag set, the message will be flagged with the bitwise or of the existing
-            flag, alongside the passed in sensitivity.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.Sensitivity(System.Exception)">
-            <summary>
-            This is a convenience method to get the sensitivity of an exception,
-            as encoded with <see cref="F:Microsoft.ML.Runtime.Contracts.SensitivityKey"/>. If there is no key, then
-            the message is assumed to be of unknown sensitivity, i.e., it is assumed
-            that it might contain literally anything.
-            </summary>
-            <param name="ex">The exception to query</param>
-            <returns>The value encoded at the <see cref="F:Microsoft.ML.Runtime.Contracts.SensitivityKey"/>, if it is
-            a <see cref="T:Microsoft.ML.Runtime.MessageSensitivity"/> value. If neither of these conditions
-            hold then <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Unknown"/> is returned.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Runtime.Contracts.SensitiveExceptionContext">
-            <summary>
-            This is an internal convenience implementation of an exception context to make marking
-            exceptions with a specific sensitivity flag a bit less onerous. The alternative to a scheme
-            like this, where messages are marked through use of <see cref="M:Microsoft.ML.Runtime.Contracts.SensitiveExceptionContext.Process``1(``0)"/>,
-            would be that every check and exception method in this file would need some "peer" where
-            sensitivity was set. Since there are so many, we have this method instead. I'm not sure if
-            there will be performance implications. There shouldn't be, since checks rarely happen in
-            tight loops.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.Contracts.SensitiveExceptionContext.Inner">
-            <summary>
-            We will run this instances <see cref="M:Microsoft.ML.Runtime.IExceptionContext.Process``1(``0)"/> first.
-            This can be null.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Runtime.Contracts.SensitiveExceptionContext.ToMark">
-            <summary>
-            Exceptions will be marked with this. If <see cref="F:Microsoft.ML.Runtime.Contracts.SensitiveExceptionContext.Inner"/> happens to mark it with a sensitivity
-            flag, then the result will not only be this value, but the bitwise or of this with the existing
-            value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.NotSensitive">
-            <summary>
-            A convenience context for marking exceptions from checks and excepts with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.None"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.NotSensitive(Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            A convenience context for marking exceptions from checks and excepts with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.None"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.UserSensitive">
-            <summary>
-            A convenience context for marking exceptions from checks and excepts with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.UserData"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.UserSensitive(Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            A convenience context for marking exceptions from checks and excepts with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.UserData"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.SchemaSensitive">
-            <summary>
-            A convenience context for marking exceptions from checks and excepts with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Schema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.SchemaSensitive(Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            A convenience context for marking exceptions from checks and excepts with <see cref="F:Microsoft.ML.Runtime.MessageSensitivity.Schema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.SetAssertHandler(System.Action{System.String,Microsoft.ML.Runtime.IExceptionContext})">
-            <summary>
-            Sets the assert handler to the given function, returning the previous handler.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.Except">
-            <summary>
-            Default exception type (currently InvalidOperationException)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptUserArg(System.String)">
-            <summary>
-            For signaling bad user input.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptParam(System.String)">
-            <summary>
-            For signaling bad function parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptValue(System.String)">
-            <summary>
-            For signaling null function parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptEmpty(System.String)">
-            <summary>
-            For signaling null or empty function parameters (strings, arrays, collections, etc).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptWhiteSpace(System.String)">
-            <summary>
-            For signaling null, empty or white-space function parameters (strings, arrays, collections, etc).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptDecode">
-            <summary>
-            For signaling errors in decoding information, whether while reading from a file,
-            parsing user input, etc.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptIO">
-            <summary>
-            For signaling IO failures.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptNotImpl">
-            <summary>
-            For signaling functionality that is not YET implemented.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptNotSupp">
-            <summary>
-            For signaling functionality that is not implemented by design.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.ExceptSchemaMismatch(System.String,System.String,System.String)">
-            <summary>
-            For signaling schema validation issues.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.CheckUserArg(System.Boolean,System.String)">
-            <summary>
-            CheckUserArg / ExceptUserArg should be used when the validation of user-provided arguments failed.
-            Typically, this is shortly after the arguments are parsed using CmdParser.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.CheckAlive(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Check state of the host and throw exception if host marked to stop all execution.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.CheckValueOrNull``1(``0)">
-            <summary>
-            This documents that the parameter can legally be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.CheckValueOrNull``1(Microsoft.ML.Runtime.IExceptionContext,``0)">
-            <summary>
-            This documents that the parameter can legally be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Runtime.Contracts.AssertValueOrNull``1(``0)">
-            <summary>
-            This documents that the parameter can legally be null.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ExtensionBaseAttribute">
-            <summary>
-            The base attribute type for all attributes used for extensibility purposes.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.SignatureDefault">
-            <summary>
-            Common signature type with no extra parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LoadableClassAttribute.#ctor(System.Type,System.Type,System.Type,System.String,System.String[])">
-            <summary>
-            Assembly attribute used to specify that a class is loadable by a machine learning
-            host environment, such as TLC
-            </summary>
-            <param name="instType">The class type that is loadable</param>
-            <param name="argType">The argument type that the constructor takes (may be null)</param>
-            <param name="sigType">The signature of the constructor of this class (in addition to the arguments parameter)</param>
-            <param name="userName">The name to use when presenting a list to users</param>
-            <param name="loadNames">The names that can be used to load the class, for example, from a command line</param>
-        </member>
-        <member name="M:Microsoft.ML.LoadableClassAttribute.#ctor(System.Type,System.Type,System.Type,System.Type,System.String,System.String[])">
-            <summary>
-            Assembly attribute used to specify that a class is loadable by a machine learning
-            host environment, such as TLC
-            </summary>
-            <param name="instType">The class type that is loadable</param>
-            <param name="loaderType">The class type that contains the construction method</param>
-            <param name="argType">The argument type that the constructor takes (may be null)</param>
-            <param name="sigType">The signature of the constructor of this class (in addition to the arguments parameter)</param>
-            <param name="userName">The name to use when presenting a list to users</param>
-            <param name="loadNames">The names that can be used to load the class, for example, from a command line</param>
-        </member>
-        <member name="M:Microsoft.ML.LoadableClassAttribute.#ctor(System.String,System.Type,System.Type,System.Type,System.String,System.String[])">
-            <summary>
-            Assembly attribute used to specify that a class is loadable by a machine learning
-            host environment, such as TLC
-            </summary>
-            <param name="summary">The description summary of the class type</param>
-            <param name="instType">The class type that is loadable</param>
-            <param name="argType">The argument type that the constructor takes (may be null)</param>
-            <param name="sigType">The signature of the constructor of this class (in addition to the arguments parameter)</param>
-            <param name="userName">The name to use when presenting a list to users</param>
-            <param name="loadNames">The names that can be used to load the class, for example, from a command line</param>
-        </member>
-        <member name="M:Microsoft.ML.LoadableClassAttribute.#ctor(System.String,System.Type,System.Type,System.Type,System.Type,System.String,System.String[])">
-            <summary>
-            Assembly attribute used to specify that a class is loadable by a machine learning
-            host environment, such as TLC
-            </summary>
-            <param name="summary">The description summary of the class type</param>
-            <param name="instType">The class type that is loadable</param>
-            <param name="loaderType">The class type that contains the construction method</param>
-            <param name="argType">The argument type that the constructor takes (may be null)</param>
-            <param name="sigType">The signature of the constructor of this class (in addition to the arguments parameter)</param>
-            <param name="userName">The name to use when presenting a list to users</param>
-            <param name="loadNames">The names that can be used to load the class, for example, from a command line</param>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.InstanceType">
-            <summary>
-            The type that is created/loaded.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.LoaderType">
-            <summary>
-            The type that contains the construction method, whether static Instance property,
-            static Create method, or constructor. Of course, a constructor is only permissible if
-            this type derives from InstanceType. This defaults to the same as InstanceType.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.ArgType">
-            <summary>
-            The command line arguments object type. This should be null if there isn't one.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.SigTypes">
-            <summary>
-            This indicates the extra parameter types. It must be a delegate type. The return type should be void.
-            The parameter types of the SigType delegate should NOT include the ArgType.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.CtorTypes">
-            <summary>
-            Note that CtorTypes includes the ArgType (if there is one), and the parameter types of the SigType.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.Summary">
-            <summary>
-            The description summary of the class type.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.UserName">
-            <summary>
-            UserName may be null or empty indicating that it should be hidden in UI.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoadableClassAttributeBase.DocName">
-            <summary>
-            This should indicate a path within the <code>doc/public</code> directory next to the TLC
-            solution, where the documentation lies. This value will be used as part of a URL, so,
-            the path separator should be phrased as '/' forward slashes rather than backslashes.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationBuilderExtensions.AddSlotNames(Microsoft.ML.DataViewSchema.Annotations.Builder,System.Int32,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}})">
-            <summary>
-            Add slot names annotation.
-            </summary>
-            <param name="builder">The <see cref="T:Microsoft.ML.DataViewSchema.Annotations.Builder"/> to which to add the slot names.</param>
-            <param name="size">The size of the slot names vector.</param>
-            <param name="getter">The getter delegate for the slot names.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationBuilderExtensions.AddKeyValues``1(Microsoft.ML.DataViewSchema.Annotations.Builder,System.Int32,Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{``0}})">
-            <summary>
-            Add key values annotation.
-            </summary>
-            <typeparam name="TValue">The value type of key values.</typeparam>
-            <param name="builder">The <see cref="T:Microsoft.ML.DataViewSchema.Annotations.Builder"/> to which to add the key values.</param>
-            <param name="size">The size of key values vector.</param>
-            <param name="valueType">The value type of key values. Its raw type must match <typeparamref name="TValue"/>.</param>
-            <param name="getter">The getter delegate for the key values.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnnotationUtils">
-            <summary>
-            Utilities for implementing and using the annotation API of <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnnotationUtils.Kinds">
-            <summary>
-            This class lists the canonical annotation kinds
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.SlotNames">
-            <summary>
-            Annotation kind for names associated with slots/positions in a vector-valued column.
-            The associated annotation type is typically fixed-sized vector of Text.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.KeyValues">
-            <summary>
-            Annotation kind for values associated with the key indices when the column type's item type
-            is a key type. The associated annotation type is typically fixed-sized vector of a primitive
-            type. The primitive type is frequently Text, but can be anything.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.ScoreColumnSetId">
-            <summary>
-            Annotation kind for sets of score columns. The value is typically a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> with raw type U4.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.ScoreColumnKind">
-            <summary>
-            Annotation kind that indicates the prediction kind as a string. For example, "BinaryClassification".
-            The value is typically a ReadOnlyMemory&lt;char&gt;.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.ScoreValueKind">
-            <summary>
-            Annotation kind that indicates the value kind of the score column as a string. For example, "Score", "PredictedLabel", "Probability". The value is typically a ReadOnlyMemory.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.IsNormalized">
-            <summary>
-            Annotation kind that indicates if a column is normalized. The value is typically a Bool.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.IsUserVisible">
-            <summary>
-            Annotation kind that indicates if a column is visible to the users. The value is typically a Bool.
-            Not to be confused with IsHidden() that determines if a column is masked.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.TrainingLabelValues">
-            <summary>
-            Annotation kind for the label values used in training to be used for the predicted label.
-            The value is typically a fixed-sized vector of Text.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationUtils.Kinds.CategoricalSlotRanges">
-            <summary>
-            Annotation kind that indicates the ranges within a column that are categorical features.
-            The value is a vector type of ints with dimension of two. The first dimension
-            represents the number of categorical features and second dimension represents the range
-            and is of size two. The range has start and end index(both inclusive) of categorical
-            slots within that column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnnotationUtils.Const">
-            <summary>
-            This class holds all pre-defined string values that can be found in canonical annotations
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnnotationUtils.AnnotationGetter`1">
-            <summary>
-            Helper delegate for marshaling from generic land to specific types. Used by the Marshal method below.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.ExceptGetAnnotation">
-            <summary>
-            Returns a standard exception for responding to an invalid call to GetAnnotation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.ExceptGetAnnotation(Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Returns a standard exception for responding to an invalid call to GetAnnotation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.Marshal``2(Microsoft.ML.Data.AnnotationUtils.AnnotationGetter{``0},System.Int32,``1@)">
-            <summary>
-            Helper to marshal a call to GetAnnotation{TValue} to a specific type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetNamesType(System.Int32)">
-            <summary>
-            Returns a vector type with item type text and the given size. The size must be positive.
-            This is a standard type for annotation consisting of multiple text values, eg SlotNames.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetCategoricalType(System.Int32)">
-            <summary>
-            Returns a vector type with item type int and the given size.
-            The range count must be a positive integer.
-            This is a standard type for annotation consisting of multiple int values that represent
-            categorical slot ranges with in a column.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.AnnotationUtils.ScoreColumnSetIdType">
-            <summary>
-            The type of the ScoreColumnSetId annotation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetSlotNamesPair(System.Int32)">
-            <summary>
-            Returns a key-value pair useful when implementing GetAnnotationTypes(col).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetKeyNamesPair(System.Int32)">
-            <summary>
-            Returns a key-value pair useful when implementing GetAnnotationTypes(col). This assumes
-            that the values of the key type are Text.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetPair(Microsoft.ML.Data.DataViewType,System.String)">
-            <summary>
-            Given a type and annotation kind string, returns a key-value pair. This is useful when
-            implementing GetAnnotationTypes(col).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.Prepend``1(System.Collections.Generic.IEnumerable{``0},``0[])">
-            <summary>
-            Prepends a params array to an enumerable. Useful when implementing GetAnnotationTypes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetMaxAnnotationKind(Microsoft.ML.DataViewSchema,System.Int32@,System.String,System.Func{Microsoft.ML.DataViewSchema,System.Int32,System.Boolean})">
-            <summary>
-            Returns the max value for the specified annotation kind.
-            The annotation type should be a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> with raw type U4.
-            colMax will be set to the first column that has the max value for the specified annotation.
-            If no column has the specified annotation, colMax is set to -1 and the method returns zero.
-            The filter function is called for each column, passing in the schema and the column index, and returns
-            true if the column should be considered, false if the column should be skipped.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetColumnSet(Microsoft.ML.DataViewSchema,System.String,System.UInt32)">
-            <summary>
-            Returns the set of column ids which match the value of specified annotation kind.
-            The annotation type should be a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> with raw type U4.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetColumnSet(Microsoft.ML.DataViewSchema,System.String,System.String)">
-            <summary>
-            Returns the set of column ids which match the value of specified annotation kind.
-            The annotation type should be of type text.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.HasSlotNames(Microsoft.ML.DataViewSchema.Column,System.Int32)">
-            <summary>
-            Returns <c>true</c> if the specified column:
-             * has a SlotNames annotation
-             * annotation type is VBuffer&lt;ReadOnlyMemory&lt;char&gt;&gt; of length <paramref name="vectorSize"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.IsNormalized(Microsoft.ML.SchemaShape.Column)">
-            <summary>
-            Returns whether a column has the <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.IsNormalized"/> annotation indicated by
-            the schema shape.
-            </summary>
-            <param name="column">The schema shape column to query</param>
-            <returns>True if and only if the column has the <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.IsNormalized"/> annotation
-            of a scalar <see cref="T:Microsoft.ML.Data.BooleanDataViewType"/> type, which we assume, if set, should be <c>true</c>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.HasSlotNames(Microsoft.ML.SchemaShape.Column)">
-            <summary>
-            Returns whether a column has the <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.SlotNames"/> annotation indicated by
-            the schema shape.
-            </summary>
-            <param name="col">The schema shape column to query</param>
-            <returns>True if and only if the column is a definite sized vector type, has the
-            <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.SlotNames"/> annotation of definite sized vectors of text.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.TryGetAnnotation``1(Microsoft.ML.DataViewSchema,Microsoft.ML.Data.PrimitiveDataViewType,System.String,System.Int32,``0@)">
-            <summary>
-            Tries to get the annotation kind of the specified type for a column.
-            </summary>
-            <typeparam name="T">The raw type of the annotation, should match the PrimitiveType type</typeparam>
-            <param name="schema">The schema</param>
-            <param name="type">The type of the annotation</param>
-            <param name="kind">The annotation kind</param>
-            <param name="col">The column</param>
-            <param name="value">The value to return, if successful</param>
-            <returns>True if the annotation of the right type exists, false otherwise</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.TryGetCategoricalFeatureIndices(Microsoft.ML.DataViewSchema,System.Int32,System.Int32[]@)">
-            <summary>
-            The categoricalFeatures is a vector of the indices of categorical features slots.
-            This vector should always have an even number of elements, and the elements should be parsed in groups of two consecutive numbers.
-            So if its value is the range of numbers: 0,2,3,4,8,9
-            look at it as [0,2],[3,4],[8,9].
-            The way to interpret that is: feature with indices 0, 1, and 2 are one categorical
-            Features with indices 3 and 4 are another categorical. Features 5 and 6 don't appear there, so they are not categoricals.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.GetTrainerOutputAnnotation(System.Boolean)">
-            <summary>
-            Produces sequence of columns that are generated by trainer estimators.
-            </summary>
-            <param name="isNormalized">whether we should also append 'IsNormalized' (typically for probability column)</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.AnnotationsForMulticlassScoreColumn(System.Nullable{Microsoft.ML.SchemaShape.Column})">
-            <summary>
-            Produces annotations for the score column generated by trainer estimators for multiclass classification.
-            If input LabelColumn is not available it produces slotnames annotation by default.
-            </summary>
-            <param name="labelColumn">Label column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.AnnotationRow.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.AnnotationRow.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationUtils.AnnotationsAsRow(Microsoft.ML.DataViewSchema.Annotations)">
-            <summary>
-            Presents a <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/> as a an <see cref="T:Microsoft.ML.DataViewRow"/>.
-            </summary>
-            <param name="annotations">The annotations to wrap.</param>
-            <returns>A row that wraps an input annotations.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnTypeExtensions">
-            <summary>
-            Extension methods related to the ColumnType class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.IsStandardScalar(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Whether this type is a standard scalar type completely determined by its <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/>
-            (not a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> or <see cref="T:Microsoft.ML.Data.StructuredDataViewType"/>, etc).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.GetKeyCount(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Zero return means it's not a key type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.GetKeyCountAsInt32(Microsoft.ML.Data.DataViewType,Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Sometimes it is necessary to cast the Count to an int. This performs overflow check.
-            Zero return means it's not a key type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.GetItemType(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            For non-vector types, this returns the column type itself (i.e., return <paramref name="columnType"/>).
-            For vector types, this returns the type of the items stored as values in vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.GetVectorSize(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Zero return means either it's not a vector or the size is unknown.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.GetValueCount(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            For non-vectors, this returns one. For unknown size vectors, it returns zero.
-            For known sized vectors, it returns size.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.IsKnownSizeVector(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Whether this is a vector type with known size. Returns false for non-vector types.
-            Equivalent to <c><see cref="M:Microsoft.ML.Data.ColumnTypeExtensions.GetVectorSize(Microsoft.ML.Data.DataViewType)"/> &gt; 0</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.GetRawKind(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Gets the equivalent <see cref="T:Microsoft.ML.Data.InternalDataKind"/> for the <paramref name="columnType"/>'s RawType.
-            This can return default(<see cref="T:Microsoft.ML.Data.InternalDataKind"/>) if the RawType doesn't have a corresponding
-            <see cref="T:Microsoft.ML.Data.InternalDataKind"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnTypeExtensions.SameSizeAndItemType(Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Equivalent to calling Equals(ColumnType) for non-vector types. For vector type,
-            returns true if current and other vector types have the same size and item type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataKind">
-             <summary>
-             Specifies a simple data type.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             Some transforms use the default value and/or missing value of the data types.
-             The table below shows the default value definition for each of the data types.
-            
-             | Type | Default Value | IsDefault Indicator |
-             | -- | -- | -- |
-             | <xref:Microsoft.ML.Data.DataKind.String> or [text](xref:Microsoft.ML.Data.TextDataViewType) | Empty or `null` string (both result in empty `System.ReadOnlyMemory<char>` | <xref:System.ReadOnlyMemory`1.IsEmpty*> |
-             | [Key](xref:Microsoft.ML.Data.KeyDataViewType) type (supported by the unsigned integer types in `DataKind`) | Not defined | Always `false` |
-             | All other types | Default value of the corresponding system type as defined by .NET standard. In C#, default value expression `default(T)` provides that value. | Equality test with the default value |
-            
-             The table below shows the missing value definition for each of the data types.
-            
-             | Type | Missing Value | IsMissing Indicator |
-             | -- | -- | -- |
-             | <xref:Microsoft.ML.Data.DataKind.String> or [text](xref:Microsoft.ML.Data.TextDataViewType) | Not defined | Always `false` |
-             | [Key](xref:Microsoft.ML.Data.KeyDataViewType) type (supported by the unsigned integer types in `DataKind`) | `0` | Equality test with `0` |
-             | <xref:Microsoft.ML.Data.DataKind.Single> | <xref:System.Single.NaN> | <xref:System.Single.IsNaN(System.Single)> |
-             | <xref:Microsoft.ML.Data.DataKind.Double> | <xref:System.Double.NaN> | <xref:System.Double.IsNaN(System.Double)> |
-             | All other types | Not defined | Always `false` |
-            
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.SByte">
-            <summary>1-byte integer, type of <see cref="T:System.SByte"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Byte">
-            <summary>1-byte unsigned integer, type of <see cref="T:System.Byte"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Int16">
-            <summary>2-byte integer, type of <see cref="T:System.Int16"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.UInt16">
-            <summary>2-byte unsigned integer, type of <see cref="T:System.UInt16"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Int32">
-            <summary>4-byte integer, type of <see cref="T:System.Int32"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.UInt32">
-            <summary>4-byte unsigned integer, type of <see cref="T:System.UInt32"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Int64">
-            <summary>8-byte integer, type of <see cref="T:System.Int64"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.UInt64">
-            <summary>8-byte unsigned integer, type of <see cref="T:System.UInt64"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Single">
-            <summary>4-byte floating-point number, type of <see cref="T:System.Single"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Double">
-            <summary>8-byte floating-point number, type of <see cref="T:System.Double"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.String">
-            <summary>
-            string, type of <see cref="T:System.ReadOnlyMemory`1"/>, where T is <see cref="T:System.Char"/>.
-            Also compatible with <see cref="T:System.String"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.Boolean">
-            <summary>boolean variable type, type of <see cref="T:System.Boolean"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.TimeSpan">
-            <summary>type of <see cref="T:System.TimeSpan"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.DateTime">
-            <summary>type of <see cref="T:System.DateTime"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataKind.DateTimeOffset">
-            <summary>type of <see cref="T:System.DateTimeOffset"/>.</summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.InternalDataKind">
-            <summary>
-            Data type specifier used in command line. <see cref="T:Microsoft.ML.Data.InternalDataKind"/> is the underlying version of <see cref="T:Microsoft.ML.Data.DataKind"/>
-            used for command line and entry point BC.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.InternalDataKindExtensions">
-            <summary>
-            Extension methods related to the DataKind enum.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToIndex(Microsoft.ML.Data.InternalDataKind)">
-            <summary>
-            Maps a DataKind to a value suitable for indexing into an array of size KindCount.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.FromIndex(System.Int32)">
-            <summary>
-            Maps from an index into an array of size KindCount to the corresponding DataKind
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToInternalDataKind(Microsoft.ML.Data.DataKind)">
-            <summary>
-            This function converts <paramref name="dataKind"/> to <see cref="T:Microsoft.ML.Data.InternalDataKind"/>.
-            Because <see cref="T:Microsoft.ML.Data.DataKind"/> is a subset of <see cref="T:Microsoft.ML.Data.InternalDataKind"/>, the conversion is straightforward.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToDataKind(Microsoft.ML.Data.InternalDataKind)">
-            <summary>
-            This function converts <paramref name="kind"/> to <see cref="T:Microsoft.ML.Data.DataKind"/>.
-            Because <see cref="T:Microsoft.ML.Data.DataKind"/> is a subset of <see cref="T:Microsoft.ML.Data.InternalDataKind"/>, we should check if <paramref name="kind"/>
-            can be found in <see cref="T:Microsoft.ML.Data.DataKind"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToMaxInt(Microsoft.ML.Data.InternalDataKind)">
-            <summary>
-            For integer DataKinds, this returns the maximum legal value. For un-supported kinds,
-            it returns zero.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToMaxInt(System.Type)">
-            <summary>
-            For integer Types, this returns the maximum legal value. For un-supported Types,
-            it returns zero.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToMinInt(Microsoft.ML.Data.InternalDataKind)">
-            <summary>
-            For integer DataKinds, this returns the minimum legal value. For un-supported kinds,
-            it returns one.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.ToType(Microsoft.ML.Data.InternalDataKind)">
-            <summary>
-            Maps a DataKind to the associated .Net representation type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.TryGetDataKind(System.Type,Microsoft.ML.Data.InternalDataKind@)">
-            <summary>
-            Try to map a System.Type to a corresponding DataKind value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalDataKindExtensions.GetString(Microsoft.ML.Data.InternalDataKind)">
-            <summary>
-            Get the canonical string for a DataKind. Note that using DataKind.ToString() is not stable
-            and is also slow, so use this instead.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IFileHandle">
-            <summary>
-            A file handle.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IFileHandle.CanWrite">
-            <summary>
-            Returns whether CreateWriteStream is expected to succeed. Typically, once
-            CreateWriteStream has been called once, this will forever more return false.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IFileHandle.CanRead">
-            <summary>
-            Returns whether OpenReadStream is expected to succeed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IFileHandle.CreateWriteStream">
-            <summary>
-            Create a writable stream for this file handle.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IFileHandle.OpenReadStream">
-            <summary>
-            Open a readable stream for this file handle.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SimpleFileHandle">
-            <summary>
-            A simple disk-based file handle.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IRowToRowMapper">
-            <summary>
-            This interface maps an input <see cref="T:Microsoft.ML.DataViewRow"/> to an output <see cref="T:Microsoft.ML.DataViewRow"/>. Typically, the output contains
-            both the input columns and new columns added by the implementing class, although some implementations may
-            return a subset of the input columns.
-            This interface is similar to <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/>, except it does not have any input role mappings,
-            so to rebind, the same input column names must be used.
-            Implementations of this interface are typically created over defined input <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IRowToRowMapper.InputSchema">
-            <summary>
-            Mappers are defined as accepting inputs with this very specific schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IRowToRowMapper.OutputSchema">
-            <summary>
-            Gets an instance of <see cref="T:Microsoft.ML.DataViewSchema"/> which describes the columns' names and types in the output generated by this mapper.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowToRowMapper.GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowToRowMapper.GetRow(Microsoft.ML.DataViewRow,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-             <summary>
-             Get an <see cref="T:Microsoft.ML.DataViewRow"/> with the indicated active columns, based on the input <paramref name="input"/>.
-             Getting values on inactive columns of the returned row will throw.
-            
-             The <see cref="P:Microsoft.ML.DataViewRow.Schema"/> of <paramref name="input"/> should be the same object as
-             <see cref="P:Microsoft.ML.Data.IRowToRowMapper.InputSchema"/>. Implementors of this method should throw if that is not the case. Conversely,
-             the returned value must have the same schema as <see cref="P:Microsoft.ML.Data.IRowToRowMapper.OutputSchema"/>.
-            
-             This method creates a live connection between the input <see cref="T:Microsoft.ML.DataViewRow"/> and the output <see
-             cref="T:Microsoft.ML.DataViewRow"/>. In particular, when the getters of the output <see cref="T:Microsoft.ML.DataViewRow"/> are invoked, they invoke the
-             getters of the input row and base the output values on the current values of the input <see cref="T:Microsoft.ML.DataViewRow"/>.
-             The output <see cref="T:Microsoft.ML.DataViewRow"/> values are re-computed when requested through the getters. Also, the returned
-             <see cref="T:Microsoft.ML.DataViewRow"/> will dispose <paramref name="input"/> when it is disposed.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ISchemaBindableMapper">
-            <summary>
-            A mapper that can be bound to a <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> (which encapsulates a <see cref="T:Microsoft.ML.DataViewSchema"/> and has mappings from column kinds
-            to columns of that schema). Binding an <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> to a <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> produces an
-            <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/>, which is an interface that has methods to return the names and indices of the input columns
-            needed by the mapper to compute its output. The <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/> is an extention to this interface, that
-            can also produce an output <see cref="T:Microsoft.ML.DataViewRow"/> given an input <see cref="T:Microsoft.ML.DataViewRow"/>. The <see cref="T:Microsoft.ML.DataViewRow"/> produced generally contains only the output columns of the mapper, and not
-            the input columns (but there is nothing preventing an <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/> from mapping input columns directly to outputs).
-            This interface is implemented by wrappers of IValueMapper based predictors, which are predictors that take a single
-            features column. New predictors can implement <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> directly. Implementing <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/>
-            includes implementing a corresponding <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/> (or <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/>) and a corresponding ISchema
-            for the output schema of the <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/>. In case the <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/> interface is implemented,
-            the SimpleRow class can be used in the <see cref="M:Microsoft.ML.Data.IRowToRowMapper.GetRow(Microsoft.ML.DataViewRow,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})"/> method.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ISchemaBoundMapper">
-            <summary>
-            This interface is used to map a schema from input columns to output columns. The <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/> should keep track
-            of the input columns that are needed for the mapping.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ISchemaBoundMapper.InputRoleMappedSchema">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> that was passed to the <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/> in the binding process.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ISchemaBoundMapper.OutputSchema">
-            <summary>
-            Gets schema of this mapper's output.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ISchemaBoundMapper.Bindable">
-            <summary>
-            A property to get back the <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> that produced this <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ISchemaBoundMapper.GetInputColumnRoles">
-            <summary>
-            This method returns the binding information: which input columns are used and in what roles.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ISchemaBoundRowMapper">
-            <summary>
-            This interface extends <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ISchemaBoundRowMapper.InputSchema">
-            <summary>
-            Input schema accepted.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ISchemaBoundRowMapper.GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, from the newly generated ones, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ISchemaBoundRowMapper.GetRow(Microsoft.ML.DataViewRow,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-             <summary>
-             Get an <see cref="T:Microsoft.ML.DataViewRow"/> with the indicated active columns, based on the input <paramref name="input"/>.
-             Getting values on inactive columns of the returned row will throw.
-            
-             The <see cref="P:Microsoft.ML.DataViewRow.Schema"/> of <paramref name="input"/> should be the same object as
-             <see cref="P:Microsoft.ML.Data.ISchemaBoundRowMapper.InputSchema"/>. Implementors of this method should throw if that is not the case. Conversely,
-             the returned value must have the same schema as <see cref="P:Microsoft.ML.Data.ISchemaBoundMapper.OutputSchema"/>.
-            
-             This method creates a live connection between the input <see cref="T:Microsoft.ML.DataViewRow"/> and the output <see
-             cref="T:Microsoft.ML.DataViewRow"/>. In particular, when the getters of the output <see cref="T:Microsoft.ML.DataViewRow"/> are invoked, they invoke the
-             getters of the input row and base the output values on the current values of the input <see cref="T:Microsoft.ML.DataViewRow"/>.
-             The output <see cref="T:Microsoft.ML.DataViewRow"/> values are re-computed when requested through the getters. Also, the returned
-             <see cref="T:Microsoft.ML.DataViewRow"/> will dispose <paramref name="input"/> when it is disposed.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ValueMapper`2">
-            <summary>
-            Delegate type to map/convert a value.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ValueMapper`3">
-            <summary>
-            Delegate type to map/convert among three values, for example, one input with two
-            outputs, or two inputs with one output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IValueMapper">
-            <summary>
-            Interface for mapping a single input value (of an indicated ColumnType) to
-            an output value (of an indicated ColumnType). This interface is commonly implemented
-            by predictors. Note that the input and output ColumnTypes determine the proper
-            type arguments for GetMapper, but typically contain additional information like
-            vector lengths.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IValueMapper.GetMapper``2">
-            <summary>
-            Get a delegate used for mapping from input to output values. Note that the delegate
-            should only be used on a single thread - it should NOT be assumed to be safe for concurrency.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IValueMapperDist">
-            <summary>
-            Interface for mapping a single input value (of an indicated ColumnType) to an output value
-            plus distribution value (of indicated ColumnTypes). This interface is commonly implemented
-            by predictors. Note that the input, output, and distribution ColumnTypes determine the proper
-            type arguments for GetMapper, but typically contain additional information like
-            vector lengths.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IValueMapperDist.GetMapper``3">
-            <summary>
-            Get a delegate used for mapping from input to output values. Note that the delegate
-            should only be used on a single thread - it should NOT be assumed to be safe for concurrency.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.KeyTypeExtensions">
-            <summary>
-            Extension methods related to the <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyTypeExtensions.GetCountAsInt32(Microsoft.ML.Data.KeyDataViewType,Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Sometimes it is necessary to cast the Count to an int. This performs overflow check.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LinkedRootCursorBase">
-            <summary>
-            Base class for a cursor has an input cursor, but still needs to do work on <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.LinkedRootCursorBase.Input">
-            <summary>Gets the input cursor.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.LinkedRootCursorBase.Root">
-            <summary>
-            Returns the root cursor of the input. It should be used to perform <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/>
-            operations, but with the distinction, as compared to <see cref="T:Microsoft.ML.Data.SynchronizedCursorBase"/>, that this is not
-            a simple passthrough, but rather very implementation specific. For example, a common usage of this class is
-            on filter cursor implementations, where how that input cursor is consumed is very implementation specific.
-            That is why this is <see langword="protected"/>, not <see langword="private"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LinkedRowFilterCursorBase">
-            <summary>
-            Base class for creating a cursor of rows that filters out some input rows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LinkedRowFilterCursorBase.Accept">
-            <summary>
-            Return whether the current input row should be returned by this cursor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LinkedRowRootCursorBase">
-            <summary>
-            A base class for a <see cref="T:Microsoft.ML.DataViewRowCursor"/> that has an input cursor, but still needs to do work on
-            <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/>. Note that the default
-            <see cref="M:Microsoft.ML.Data.LinkedRowRootCursorBase.GetGetter``1(Microsoft.ML.DataViewSchema.Column)"/> assumes that each input column is exposed as an
-            output column with the same column index.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.LinkedRowRootCursorBase.Schema">
-            <summary>Gets row's schema.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LinkedRowRootCursorBase.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LinkedRowRootCursorBase.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ReadOnlyMemoryUtils.EqualsStr(System.String,System.ReadOnlyMemory{System.Char})">
-            <summary>
-            Compare equality with the given system string value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ReadOnlyMemoryUtils.SplitOne(System.ReadOnlyMemory{System.Char},System.Char,System.ReadOnlyMemory{System.Char}@,System.ReadOnlyMemory{System.Char}@)">
-            <summary>
-            Splits <paramref name="memory"/> on the left-most occurrence of separator and produces the left
-            and right <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> values. If <paramref name="memory"/> does not contain the separator character,
-            this returns false and sets <paramref name="left"/> to this instance and <paramref name="right"/>
-            to the default <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ReadOnlyMemoryUtils.SplitOne(System.ReadOnlyMemory{System.Char},System.Char[],System.ReadOnlyMemory{System.Char}@,System.ReadOnlyMemory{System.Char}@)">
-            <summary>
-            Splits <paramref name="memory"/> on the left-most occurrence of an element of separators character array and
-            produces the left and right <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> values. If <paramref name="memory"/> does not contain any of the
-            characters in separators, this return false and initializes <paramref name="left"/> to this instance
-            and <paramref name="right"/> to the default <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ReadOnlyMemoryUtils.TrimSpaces(System.ReadOnlyMemory{System.Char})">
-            <summary>
-            Returns a <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> with leading and trailing spaces trimmed. Note that this
-            will remove only spaces, not any form of whitespace.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ReadOnlyMemoryUtils.TrimWhiteSpace(System.ReadOnlyMemory{System.Char})">
-            <summary>
-            Returns a <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> with leading and trailing whitespace trimmed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ReadOnlyMemoryUtils.TrimEndWhiteSpace(System.ReadOnlyMemory{System.Char})">
-            <summary>
-            Returns a <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> with trailing whitespace trimmed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RoleMappedSchema">
-             <summary>
-             Encapsulates a <see cref="T:Microsoft.ML.DataViewSchema"/> plus column role mapping information. The purpose of role mappings is to
-             provide information on what the intended usage is for. That is: while a given data view may have a column named
-             "Features", by itself that is insufficient: the trainer must be fed a role mapping that says that the role
-             mapping for features is filled by that "Features" column. This allows things like columns not named "Features"
-             to actually fill that role (as opposed to insisting on a hard coding, or having every trainer have to be
-             individually configured). Also, by being a one-to-many mapping, it is a way for learners that can consume
-             multiple features columns to consume that information.
-            
-             This class has convenience fields for several common column roles (for example, <see cref="P:Microsoft.ML.Data.RoleMappedSchema.Feature"/>, <see
-             cref="P:Microsoft.ML.Data.RoleMappedSchema.Label"/>), but can hold an arbitrary set of column infos. The convenience fields are non-null if and only
-             if there is a unique column with the corresponding role. When there are no such columns or more than one such
-             column, the field is <c>null</c>. The <see cref="M:Microsoft.ML.Data.RoleMappedSchema.Has(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)"/>, <see cref="M:Microsoft.ML.Data.RoleMappedSchema.HasUnique(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)"/>, and <see cref="M:Microsoft.ML.Data.RoleMappedSchema.HasMultiple(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)"/>
-             methods provide some cardinality information. Note that all columns assigned roles are guaranteed to be non-hidden
-             in this schema.
-             </summary>
-             <remarks>
-             Note that instances of this class are, like instances of <see cref="T:Microsoft.ML.DataViewSchema"/>, immutable.
-            
-             It is often the case that one wishes to bundle the actual data with the role mappings, not just the schema. For
-             that case, please use the <see cref="T:Microsoft.ML.Data.RoleMappedData"/> class.
-            
-             Note that there is no need for components consuming a <see cref="T:Microsoft.ML.Data.RoleMappedData"/> or <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/>
-             to make use of every defined mapping. Consuming components are also expected to ignore any <see cref="T:Microsoft.ML.Data.RoleMappedSchema.ColumnRole"/>
-             they do not handle. They may very well however complain if a mapping they wanted to see is not present, or the column(s)
-             mapped from the role are not of the form they require.
-             </remarks>
-             <seealso cref="T:Microsoft.ML.Data.RoleMappedSchema.ColumnRole"/>
-             <seealso cref="T:Microsoft.ML.Data.RoleMappedData"/>
-        </member>
-        <member name="T:Microsoft.ML.Data.RoleMappedSchema.ColumnRole">
-            <summary>
-            Instances of this are the keys of a <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/>. This class also holds some important
-            commonly used pre-defined instances available (for example, <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Label"/>, <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Feature"/>) that should
-            be used when possible for consistency reasons. However, practitioners should not be afraid to declare custom
-            roles if approppriate for their task.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Feature">
-            <summary>
-            Role for features. Commonly used as the independent variables given to trainers, and scorers.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Label">
-            <summary>
-            Role for labels. Commonly used as the dependent variables given to trainers, and evaluators.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Group">
-            <summary>
-            Role for group ID. Commonly used in ranking applications, for defining query boundaries, or
-            sequence classification, for defining the boundaries of an utterance.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Weight">
-            <summary>
-            Role for sample weights. Commonly used to point to a number to make trainers give more weight
-            to a particular example.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Name">
-            <summary>
-            Role for sample names. Useful for informational and tracking purposes when scoring, but typically
-            without affecting results.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.FeatureContributions">
-            <summary>
-            Role for feature contributions. Useful for specific diagnostic functionality.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Value">
-            <summary>
-            The string value for the role. Guaranteed to be non-empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.#ctor(System.String)">
-            <summary>
-            Constructor for the column role.
-            </summary>
-            <param name="value">The value for the role. Must be non-empty.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Bind(System.String)">
-            <summary>
-            Convenience method for creating a mapping pair from a role to a column name
-            for giving to constructors of <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> and <see cref="T:Microsoft.ML.Data.RoleMappedData"/>.
-            </summary>
-            <param name="name">The column name to map to. Can be <c>null</c>, in which case when used
-            to construct a role mapping structure this pair will be ignored</param>
-            <returns>A key-value pair with this instance as the key and <paramref name="name"/> as the value</returns>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.Schema">
-            <summary>
-            The source <see cref="P:Microsoft.ML.Data.RoleMappedSchema.Schema"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.Feature">
-            <summary>
-            The <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Feature"/> column, when there is exactly one (null otherwise).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.Label">
-            <summary>
-            The <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Label"/> column, when there is exactly one (null otherwise).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.Group">
-            <summary>
-            The <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Group"/> column, when there is exactly one (null otherwise).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.Weight">
-            <summary>
-            The <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Weight"/> column, when there is exactly one (null otherwise).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedSchema.Name">
-            <summary>
-            The <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Name"/> column, when there is exactly one (null otherwise).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.Has(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)">
-            <summary>
-            Returns whether there are any columns with the given column role.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.HasUnique(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)">
-            <summary>
-            Returns whether there is exactly one column of the given role.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.HasMultiple(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)">
-            <summary>
-            Returns whether there are two or more columns of the given role.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.GetColumns(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)">
-            <summary>
-            If there are columns of the given role, this returns the infos as a readonly list. Otherwise,
-            it returns null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.GetColumnRoles">
-            <summary>
-            An enumerable over all role-column associations within this object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.GetColumnRoleNames">
-            <summary>
-            An enumerable over all role-column associations within this object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.GetColumnRoleNames(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)">
-            <summary>
-            An enumerable over all role-column associations for the given role. This is a helper function
-            for implementing the <see cref="M:Microsoft.ML.Data.ISchemaBoundMapper.GetInputColumnRoles"/> method.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.GetUniqueColumn(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.DataViewSchema.Column"/> corresponding to <paramref name="role"/> if there is
-            exactly one such mapping, and otherwise throws an exception.
-            </summary>
-            <param name="role">The role to look up</param>
-            <returns>The column corresponding to that role, assuming there was only one column
-            mapped to that</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.#ctor(Microsoft.ML.DataViewSchema,System.Boolean,System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}[])">
-            <summary>
-            Constructor given a schema, and mapping pairs of roles to columns in the schema.
-            This skips null or empty column-names. It will also skip column-names that are not
-            found in the schema if <paramref name="opt"/> is true.
-            </summary>
-            <param name="schema">The schema over which roles are defined</param>
-            <param name="opt">Whether to consider the column names specified "optional" or not. If <c>false</c> then any non-empty
-            values for the column names that does not appear in <paramref name="schema"/> will result in an exception being thrown,
-            but if <c>true</c> such values will be ignored</param>
-            <param name="roles">The column role to column name mappings</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.#ctor(Microsoft.ML.DataViewSchema,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}},System.Boolean)">
-            <summary>
-            Constructor given a schema, and mapping pairs of roles to columns in the schema.
-            This skips null or empty column names. It will also skip column-names that are not
-            found in the schema if <paramref name="opt"/> is true.
-            </summary>
-            <param name="schema">The schema over which roles are defined</param>
-            <param name="roles">The column role to column name mappings</param>
-            <param name="opt">Whether to consider the column names specified "optional" or not. If <c>false</c> then any non-empty
-            values for the column names that does not appear in <paramref name="schema"/> will result in an exception being thrown,
-            but if <c>true</c> such values will be ignored</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedSchema.#ctor(Microsoft.ML.DataViewSchema,System.String,System.String,System.String,System.String,System.String,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}},System.Boolean)">
-            <summary>
-            Convenience constructor for role-mappings over the commonly used roles. Note that if any column name specified
-            is <c>null</c> or whitespace, it is ignored.
-            </summary>
-            <param name="schema">The schema over which roles are defined</param>
-            <param name="label">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Label"/> role</param>
-            <param name="feature">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Feature"/> role</param>
-            <param name="group">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Group"/> role</param>
-            <param name="weight">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Weight"/> role</param>
-            <param name="name">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Name"/> role</param>
-            <param name="custom">Any additional desired custom column role mappings</param>
-            <param name="opt">Whether to consider the column names specified "optional" or not. If <c>false</c> then any non-empty
-            values for the column names that does not appear in <paramref name="schema"/> will result in an exception being thrown,
-            but if <c>true</c> such values will be ignored</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.RoleMappedData">
-            <summary>
-            Encapsulates an <see cref="T:Microsoft.ML.IDataView"/> plus a corresponding <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/>.
-            Note that the schema of <see cref="P:Microsoft.ML.Data.RoleMappedSchema.Schema"/> of <see cref="P:Microsoft.ML.Data.RoleMappedData.Schema"/> is
-            guaranteed to equal the the <see cref="P:Microsoft.ML.IDataView.Schema"/> of <see cref="P:Microsoft.ML.Data.RoleMappedData.Data"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedData.Data">
-            <summary>
-            The data.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RoleMappedData.Schema">
-            <summary>
-            The role mapped schema. Note that <see cref="P:Microsoft.ML.Data.RoleMappedData.Schema"/>'s <see cref="P:Microsoft.ML.Data.RoleMappedSchema.Schema"/> is
-            guaranteed to be the same as <see cref="P:Microsoft.ML.Data.RoleMappedData.Data"/>'s <see cref="P:Microsoft.ML.IDataView.Schema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedData.#ctor(Microsoft.ML.IDataView,System.Boolean,System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}[])">
-            <summary>
-            Constructor given a data view, and mapping pairs of roles to columns in the data view's schema.
-            This skips null or empty column-names. It will also skip column-names that are not
-            found in the schema if <paramref name="opt"/> is true.
-            </summary>
-            <param name="data">The data over which roles are defined</param>
-            <param name="opt">Whether to consider the column names specified "optional" or not. If <c>false</c> then any non-empty
-            values for the column names that does not appear in <paramref name="data"/>'s schema will result in an exception being thrown,
-            but if <c>true</c> such values will be ignored</param>
-            <param name="roles">The column role to column name mappings</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedData.#ctor(Microsoft.ML.IDataView,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}},System.Boolean)">
-            <summary>
-            Constructor given a data view, and mapping pairs of roles to columns in the data view's schema.
-            This skips null or empty column-names. It will also skip column-names that are not
-            found in the schema if <paramref name="opt"/> is true.
-            </summary>
-            <param name="data">The schema over which roles are defined</param>
-            <param name="roles">The column role to column name mappings</param>
-            <param name="opt">Whether to consider the column names specified "optional" or not. If <c>false</c> then any non-empty
-            values for the column names that does not appear in <paramref name="data"/>'s schema will result in an exception being thrown,
-            but if <c>true</c> such values will be ignored</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RoleMappedData.#ctor(Microsoft.ML.IDataView,System.String,System.String,System.String,System.String,System.String,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}},System.Boolean)">
-            <summary>
-            Convenience constructor for role-mappings over the commonly used roles. Note that if any column name specified
-            is <c>null</c> or whitespace, it is ignored.
-            </summary>
-            <param name="data">The data over which roles are defined</param>
-            <param name="label">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Label"/> role</param>
-            <param name="feature">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Feature"/> role</param>
-            <param name="group">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Group"/> role</param>
-            <param name="weight">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Weight"/> role</param>
-            <param name="name">The column name that will be mapped to the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.ColumnRole.Name"/> role</param>
-            <param name="custom">Any additional desired custom column role mappings</param>
-            <param name="opt">Whether to consider the column names specified "optional" or not. If <c>false</c> then any non-empty
-            values for the column names that does not appear in <paramref name="data"/>'s schema will result in an exception being thrown,
-            but if <c>true</c> such values will be ignored</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.RootCursorBase">
-            <summary>
-            Base class for creating a cursor with default tracking of <see cref="P:Microsoft.ML.Data.RootCursorBase.Position"/>. All calls to <see cref="M:Microsoft.ML.Data.RootCursorBase.MoveNext"/>
-            will be seen by subclasses of this cursor. For a cursor that has an input cursor and does not need notification on
-            <see cref="M:Microsoft.ML.Data.RootCursorBase.MoveNext"/>, use <see cref="T:Microsoft.ML.Data.SynchronizedCursorBase"/> instead.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RootCursorBase.Position">
-            <summary>
-            Zero-based position of the cursor.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RootCursorBase.IsGood">
-            <summary>
-            Convenience property for checking whether the current state of the cursor is one where data can be fetched.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RootCursorBase.#ctor(Microsoft.ML.Runtime.IChannelProvider)">
-            <summary>
-            Creates an instance of the <see cref="T:Microsoft.ML.Data.RootCursorBase"/> class
-            </summary>
-            <param name="provider">Channel provider</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RootCursorBase.MoveNextCore">
-            <summary>
-            Core implementation of <see cref="M:Microsoft.ML.Data.RootCursorBase.MoveNext"/>, called if no prior call to this method
-            has returned <see langword="false"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaExtensions.TryGetColumnIndex(Microsoft.ML.DataViewSchema,System.String,System.Int32@)">
-            <summary>
-            Legacy method to get the column index.
-            DO NOT USE: use <see cref="M:Microsoft.ML.DataViewSchema.GetColumnOrNull(System.String)"/> instead.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SynchronizedCursorBase">
-            <summary>
-            Base class for creating a cursor on top of another cursor that does not add or remove rows.
-            It forces one-to-one correspondence between items in the input cursor and this cursor.
-            It delegates all <see cref="T:Microsoft.ML.DataViewRowCursor"/> functionality except Dispose() to the root cursor.
-            Dispose is virtual with the default implementation delegating to the input cursor.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.SynchronizedCursorBase.Root">
-            <summary>
-            The synchronized cursor base, as it merely passes through requests for all "positional" calls (including
-            <see cref="M:Microsoft.ML.Data.SynchronizedCursorBase.MoveNext"/>, <see cref="P:Microsoft.ML.Data.SynchronizedCursorBase.Position"/>, <see cref="P:Microsoft.ML.Data.SynchronizedCursorBase.Batch"/>, and so forth), offers an opportunity
-            for optimization for "wrapping" cursors (which are themselves often <see cref="T:Microsoft.ML.Data.SynchronizedCursorBase"/>
-            implementors) to get this root cursor. But, this can only be done by exposing this root cursor, as we do here.
-            Internal code should be quite careful in using this as the potential for misuse is quite high.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SynchronizedCursorBase.IsGood">
-            <summary>
-            Convenience property for checking whether the cursor is in a good state where values
-            can be retrieved, that is, whenever <see cref="P:Microsoft.ML.Data.SynchronizedCursorBase.Position"/> is non-negative.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.WrappingRow">
-            <summary>
-            Convenient base class for <see cref="T:Microsoft.ML.DataViewRow"/> implementors that wrap a single <see cref="T:Microsoft.ML.DataViewRow"/>
-            as their input. The <see cref="P:Microsoft.ML.DataViewRow.Position"/>, <see cref="P:Microsoft.ML.DataViewRow.Batch"/>, and <see cref="M:Microsoft.ML.DataViewRow.GetIdGetter"/>
-            are taken from this <see cref="P:Microsoft.ML.Data.WrappingRow.Input"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.WrappingRow.Input">
-            <summary>
-            The wrapped input row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.WrappingRow.Dispose(System.Boolean)">
-            <summary>
-            This override of the dispose method by default only calls <see cref="P:Microsoft.ML.Data.WrappingRow.Input"/>'s
-            <see cref="M:System.IDisposable.Dispose"/> method, but subclasses can enable additional functionality
-            via the <see cref="M:Microsoft.ML.Data.WrappingRow.DisposeCore(System.Boolean)"/> functionality.
-            </summary>
-            <param name="disposing"></param>
-        </member>
-        <member name="M:Microsoft.ML.Data.WrappingRow.DisposeCore(System.Boolean)">
-            <summary>
-            Called from <see cref="M:Microsoft.ML.Data.WrappingRow.Dispose(System.Boolean)"/> with <see langword="true"/> in the case where
-            that method has never been called before, and right after <see cref="P:Microsoft.ML.Data.WrappingRow.Input"/> has been
-            disposed. The default implementation does nothing.
-            </summary>
-            <param name="disposing">Whether this was called through the dispose path, as opposed
-            to the finalizer path.</param>
-        </member>
-        <member name="T:Microsoft.ML.Command.SignatureCommand">
-            <summary>
-            The signature for commands.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.SchemaShape">
-            <summary>
-            A set of 'requirements' to the incoming schema, as well as a set of 'promises' of the outgoing schema.
-            This is more relaxed than the proper <see cref="T:Microsoft.ML.DataViewSchema"/>, since it's only a subset of the columns,
-            and also since it doesn't specify exact <see cref="T:Microsoft.ML.Data.DataViewType"/>'s for vectors and keys.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.SchemaShape.Column.Name">
-            <summary>
-            The column name.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.SchemaShape.Column.Kind">
-            <summary>
-            The type of the column: scalar, fixed vector or variable vector.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.SchemaShape.Column.ItemType">
-            <summary>
-            The 'raw' type of column item: must be a primitive type or a structured type.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.SchemaShape.Column.IsKey">
-            <summary>
-            The flag whether the column is actually a key. If yes, <see cref="F:Microsoft.ML.SchemaShape.Column.ItemType"/> is representing
-            the underlying primitive type.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.SchemaShape.Column.Annotations">
-            <summary>
-            The annotations that are present for this column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.SchemaShape.Column.IsCompatibleWith(Microsoft.ML.SchemaShape.Column)">
-             <summary>
-             Returns whether <paramref name="source"/> is a valid input, if this object represents a
-             requirement.
-            
-             Namely, it returns true iff:
-              - The <see cref="F:Microsoft.ML.SchemaShape.Column.Name"/>, <see cref="F:Microsoft.ML.SchemaShape.Column.Kind"/>, <see cref="F:Microsoft.ML.SchemaShape.Column.ItemType"/>, <see cref="F:Microsoft.ML.SchemaShape.Column.IsKey"/> fields match.
-              - The columns of <see cref="F:Microsoft.ML.SchemaShape.Column.Annotations"/> of <paramref name="source"/> is a superset of our <see cref="F:Microsoft.ML.SchemaShape.Column.Annotations"/> columns.
-              - Each such annotation column is itself compatible with the input annotation column.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.SchemaShape.Column.IsValid">
-            <summary>
-            Return if this structure is not identical to the default value of <see cref="T:Microsoft.ML.SchemaShape.Column"/>. If true,
-            it means this structure is initialized properly and therefore considered as valid.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.SchemaShape.GetColumnTypeShape(Microsoft.ML.Data.DataViewType,Microsoft.ML.SchemaShape.Column.VectorKind@,Microsoft.ML.Data.DataViewType@,System.Boolean@)">
-            <summary>
-            Given a <paramref name="type"/>, extract the type parameters that describe this type
-            as a <see cref="T:Microsoft.ML.SchemaShape"/>'s column type.
-            </summary>
-            <param name="type">The actual column type to process.</param>
-            <param name="vecKind">The vector kind of <paramref name="type"/>.</param>
-            <param name="itemType">The item type of <paramref name="type"/>.</param>
-            <param name="isKey">Whether <paramref name="type"/> (or its item type) is a key.</param>
-        </member>
-        <member name="M:Microsoft.ML.SchemaShape.Create(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Create a schema shape out of the fully defined schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.SchemaShape.TryFindColumn(System.String,Microsoft.ML.SchemaShape.Column@)">
-            <summary>
-            Returns if there is a column with a specified <paramref name="name"/> and if so stores it in <paramref name="column"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.IDataLoader`1">
-            <summary>
-            The 'data loader' takes a certain kind of input and turns it into an <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-            <typeparam name="TSource">The type of input the loader takes.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.IDataLoader`1.Load(`0)">
-            <summary>
-            Produce the data view from the specified input.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.IDataLoader`1.GetOutputSchema">
-            <summary>
-            The output schema of the loader.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.IDataLoaderEstimator`2">
-            <summary>
-            Sometimes we need to 'fit' an <see cref="T:Microsoft.ML.IDataLoader`1"/>.
-            A DataLoader estimator is the object that does it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.IDataLoaderEstimator`2.Fit(`0)">
-            <summary>
-            Train and return a data loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.IDataLoaderEstimator`2.GetOutputSchema">
-            <summary>
-            The 'promise' of the output schema.
-            It will be used for schema propagation.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ITransformer">
-            <summary>
-            The transformer is a component that transforms data.
-            It also supports 'schema propagation' to answer the question of 'how will the data with this schema look, after you transform it?'.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ITransformer.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Schema propagation for transformers.
-            Returns the output schema of the data, if the input schema is like the one provided.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ITransformer.Transform(Microsoft.ML.IDataView)">
-            <summary>
-            Take the data in, make transformations, output the data.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual transformations happen here, just schema validation.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ITransformer.IsRowToRowMapper">
-            <summary>
-            Whether a call to <see cref="M:Microsoft.ML.ITransformer.GetRowToRowMapper(Microsoft.ML.DataViewSchema)"/> should succeed, on an
-            appropriate schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ITransformer.GetRowToRowMapper(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Constructs a row-to-row mapper based on an input schema. If <see cref="P:Microsoft.ML.ITransformer.IsRowToRowMapper"/>
-            is <c>false</c>, then an exception should be thrown. If the input schema is in any way
-            unsuitable for constructing the mapper, an exception should likewise be thrown.
-            </summary>
-            <param name="inputSchema">The input schema for which we should get the mapper.</param>
-            <returns>The row to row mapper.</returns>
-        </member>
-        <member name="T:Microsoft.ML.IEstimator`1">
-            <summary>
-            The estimator (in Spark terminology) is an 'untrained transformer'. It needs to 'fit' on the data to manufacture
-            a transformer.
-            It also provides the 'schema propagation' like transformers do, but over <see cref="T:Microsoft.ML.SchemaShape"/> instead of <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Train and return a transformer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.IEstimator`1.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Schema propagation for estimators.
-            Returns the output schema shape of the estimator, if the input schema shape is like the one provided.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelHeader.SignatureValue">
-            <summary>
-            This spells 'ML MODEL' with zero replacing space (assuming little endian).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.BeginWrite(System.IO.BinaryWriter,System.Int64@,Microsoft.ML.ModelHeader@)">
-            <summary>
-            Initialize the header and writer for writing. The value of fpMin and header
-            should be passed to the other utility methods here.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.EndWrite(System.IO.BinaryWriter,System.Int64,Microsoft.ML.ModelHeader@,Microsoft.ML.Internal.Utilities.NormStr.Pool,System.String)">
-            <summary>
-            The current writer position should be the end of the model blob. Records the model size, writes the string table,
-            completes and writes the header, and writes the tail.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.WriteHeaderAndTailCore(System.IO.BinaryWriter,System.Int64,Microsoft.ML.ModelHeader@)">
-            <summary>
-            The current writer position should be where the tail belongs. Writes the header and tail.
-            Typically this isn't called directly unless you are doing custom string table serialization.
-            In that case you should have called EndModelCore before writing the string table information.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.EndModelCore(System.IO.BinaryWriter,System.Int64,Microsoft.ML.ModelHeader@)">
-            <summary>
-            The current writer position should be the end of the model blob. Records the size of the model blob.
-            Typically this isn't called directly unless you are doing custom string table serialization.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.SetVersionInfo(Microsoft.ML.ModelHeader@,Microsoft.ML.VersionInfo)">
-            <summary>
-            Sets the version information the header.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.SetLoaderSig(Microsoft.ML.ModelHeader@,System.String)">
-            <summary>
-            Record the given loader sig in the header. If sig is null, clears the loader sig.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.SetLoaderSigAlt(Microsoft.ML.ModelHeader@,System.String)">
-            <summary>
-            Record the given alternate loader sig in the header. If sig is null, clears the alternate loader sig.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.MarshalToBytes(Microsoft.ML.ModelHeader@,System.Byte[])">
-            <summary>
-            Low level method for copying bytes from a header structure into a byte array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.BeginRead(System.Int64@,Microsoft.ML.ModelHeader@,System.String[]@,System.String@,System.IO.BinaryReader)">
-            <summary>
-            Read the model header, strings, etc from reader. Also validates the header (throws if bad).
-            Leaves the reader position at the beginning of the model blob.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.EndRead(System.Int64,Microsoft.ML.ModelHeader@,System.IO.BinaryReader)">
-            <summary>
-            Finish reading. Checks that the current reader position is the end of the model blob.
-            Seeks to the end of the entire model file (after the tail).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.CheckVersionInfo(Microsoft.ML.ModelHeader@,Microsoft.ML.VersionInfo)">
-            <summary>
-            Performs standard version validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.MarshalFromBytes(Microsoft.ML.ModelHeader@,System.Byte[])">
-            <summary>
-            Low level method for copying bytes from a byte array to a header structure.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.TryValidate(Microsoft.ML.ModelHeader@,System.Int64,System.Exception@)">
-            <summary>
-            Checks the basic validity of the header, assuming the stream is at least the given size.
-            Returns false (and the out exception) on failure.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.TryValidate(Microsoft.ML.ModelHeader@,System.IO.BinaryReader,System.Int64,System.String[]@,System.String@,System.Exception@)">
-            <summary>
-            Checks the validity of the header, reads the string table, etc.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.GetLoaderSig(Microsoft.ML.ModelHeader@)">
-            <summary>
-            Extract and return the loader sig from the header, trimming trailing zeros.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelHeader.GetLoaderSigAlt(Microsoft.ML.ModelHeader@)">
-            <summary>
-            Extract and return the alternate loader sig from the header, trimming trailing zeros.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.VersionInfo">
-            <summary>
-            This is used to simplify version checking boiler-plate code. It is an optional
-            utility type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.VersionInfo.#ctor(System.String,System.UInt32,System.UInt32,System.UInt32,System.String,System.String,System.String)">
-            <summary>
-            Construct version info with a string value for modelSignature. The string must be 8 characters
-            all less than 0x100. Spaces are mapped to zero. This assumes little-endian.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ModelLoadContext">
-            <summary>
-            This is a convenience context object for loading models from a repository, for
-            implementors of ICanSaveModel. It is not mandated but designed to reduce the
-            amount of boiler plate code. It can also be used when loading from a single stream,
-            for implementors of ICanSaveInBinaryFormat.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.Repository">
-            <summary>
-            When in repository mode, this is the repository we're reading from. It is null when
-            in single-stream mode.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.Directory">
-            <summary>
-            When in repository mode, this is the directory we're reading from. Null means the root
-            of the repository. It is always null in single-stream mode.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.Reader">
-            <summary>
-            The main stream reader.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.Strings">
-            <summary>
-            The strings loaded from the main stream's string table.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.LoaderAssemblyName">
-            <summary>
-            The name of the assembly that the loader lives in.
-            </summary>
-            <remarks>
-            This may be null or empty if one was never written to the model, or is an older model version.
-            </remarks>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.Header">
-            <summary>
-            The main stream's model header.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext.FpMin">
-            <summary>
-            The min file position of the main stream.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelLoadContext._ectx">
-            <summary>
-            Exception context provided by Repository (can be null).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ModelLoadContext.InRepository">
-            <summary>
-            Returns whether this context is in repository mode (true) or single-stream mode (false).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.#ctor(Microsoft.ML.RepositoryReader,Microsoft.ML.Repository.Entry,System.String)">
-            <summary>
-            Create a ModelLoadContext supporting loading from a repository, for implementors of ICanSaveModel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.#ctor(System.IO.BinaryReader,Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Create a ModelLoadContext supporting loading from a single-stream, for implementors of ICanSaveInBinaryFormat.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.CheckVersionInfo(Microsoft.ML.VersionInfo)">
-            <summary>
-            Performs version checks.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadStringOrNull">
-            <summary>
-            Reads an integer from the load context's reader, and returns the associated string,
-            or null (encoded as -1).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadString">
-            <summary>
-            Reads an integer from the load context's reader, and returns the associated string.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadNonEmptyString">
-            <summary>
-            Reads an integer from the load context's reader, and returns the associated string.
-            Throws if the string is empty or null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.Done">
-            <summary>
-            Commit the load operation. This completes reading of the main stream. When in repository
-            mode, it disposes the Reader (but not the repository).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.Dispose">
-            <summary>
-            When in repository mode, this disposes the Reader (but no the repository).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ModelLoadContext.ForwardedLoaderAssemblyName">
-            <summary>
-            Returns the new assembly name to maintain backward compatibility.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.ContainsModel(System.String)">
-            <summary>
-            Return whether this context contains a directory and stream for a sub-model with
-            the indicated name. This does not attempt to load the sub-model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModelOrNull``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,Microsoft.ML.RepositoryReader,System.String,System.Object[])">
-            <summary>
-            Load an optional object from the repository directory.
-            Returns false iff no stream was found for the object, iff result is set to null.
-            Throws if loading fails for any other reason.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,Microsoft.ML.RepositoryReader,System.String,System.Object[])">
-            <summary>
-            Load an object from the repository directory.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModelOrNull``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.String,System.Object[])">
-            <summary>
-            Load a sub model from the given sub directory if it exists. This requires InRepository to be true.
-            Returns false iff no stream was found for the object, iff result is set to null.
-            Throws if loading fails for any other reason.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.String,System.Object[])">
-            <summary>
-            Load a sub model from the given sub directory. This requires InRepository to be true.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryLoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,Microsoft.ML.RepositoryReader,Microsoft.ML.Repository.Entry,System.String,System.Object[])">
-            <summary>
-            Try to load from the given repository entry using the default loader(s) specified in the header.
-            Returns false iff the default loader(s) could not be bound to a compatible loadable class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,Microsoft.ML.RepositoryReader,Microsoft.ML.Repository.Entry,System.String,System.Object[])">
-            <summary>
-            Load from the given repository entry using the default loader(s) specified in the header.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryLoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.IO.Stream,System.Object[])">
-            <summary>
-            Try to load from the given stream (non-Repository).
-            Returns false iff the default loader(s) could not be bound to a compatible loadable class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.IO.Stream,System.Object[])">
-            <summary>
-            Load from the given stream (non-Repository) using the default loader(s) specified in the header.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryLoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.IO.BinaryReader,System.Object[])">
-            <summary>
-            Try to load from the given reader (non-Repository).
-            Returns false iff the default loader(s) could not be bound to a compatible loadable class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.LoadModel``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.IO.BinaryReader,System.Object[])">
-            <summary>
-            Load from the given reader (non-Repository) using the default loader(s) specified in the header.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryLoadModelCore``2(Microsoft.ML.Runtime.IHostEnvironment,``0@,System.Object[])">
-            <summary>
-            Tries to load.
-            Returns false iff the default loader(s) could not be bound to a compatible loadable class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryProcessSubModel(System.String,System.Action{Microsoft.ML.ModelLoadContext})">
-            <summary>
-            Try to load a sub model from the given sub directory. This requires InRepository to be true.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryLoadBinaryStream(System.String,System.Action{System.IO.BinaryReader})">
-            <summary>
-            Try to load a binary stream from the current directory. This requires InRepository to be true.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelLoadContext.TryLoadTextStream(System.String,System.Action{System.IO.TextReader})">
-            <summary>
-            Try to load a text stream from the current directory. This requires InRepository to be true.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.SignatureLoadModel">
-            <summary>
-            Signature for a repository based model loader. This is the dual of <see cref="T:Microsoft.ML.ICanSaveModel"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ModelSaveContext">
-            <summary>
-            Convenience context object for saving models to a repository, for
-            implementors of <see cref="T:Microsoft.ML.ICanSaveModel"/>.
-            </summary>
-            <remarks>
-            This class reduces the amount of boiler plate code needed to implement <see cref="T:Microsoft.ML.ICanSaveModel"/>.
-            It can also be used when saving to a single stream, for implementors of <see cref="T:Microsoft.ML.ICanSaveInBinaryFormat"/>.
-            </remarks>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext.Repository">
-            <summary>
-            When in repository mode, this is the repository we're writing to. It is null when
-            in single-stream mode.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext.Directory">
-            <summary>
-            When in repository mode, this is the directory we're reading from. Null means the root
-            of the repository. It is always null in single-stream mode.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext.Writer">
-            <summary>
-            The main stream writer.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext.Strings">
-            <summary>
-            The strings that will be saved in the main stream's string table.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext.Header">
-            <summary>
-            The main stream's model header.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext.FpMin">
-            <summary>
-            The min file position of the main stream.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext._ent">
-            <summary>
-            The wrapped entry.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext._ectx">
-            <summary>
-            Exception context provided by Repository (can be null).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.ModelSaveContext._loaderAssemblyName">
-            <summary>
-            The assembly name where the loader resides.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ModelSaveContext.InRepository">
-            <summary>
-            Returns whether this context is in repository mode (true) or single-stream mode (false).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.#ctor(Microsoft.ML.RepositoryWriter,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.ModelSaveContext"/> supporting saving to a repository, for implementors of <see cref="T:Microsoft.ML.ICanSaveModel"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.#ctor(System.IO.BinaryWriter,Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.ModelSaveContext"/> supporting saving to a single-stream, for implementors of <see cref="T:Microsoft.ML.ICanSaveInBinaryFormat"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SetVersionInfo(Microsoft.ML.VersionInfo)">
-            <summary>
-            Set the version information in the main stream's header. This should be called before
-            <see cref="M:Microsoft.ML.ModelSaveContext.Done"/> is called.
-            </summary>
-            <param name="ver"></param>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SaveStringOrNull(System.String)">
-            <summary>
-            Puts a string into the context pool, and writes the integer code of the string ID
-            to the write stream. If str is null, this writes -1 and doesn't add it to the pool.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SaveString(System.String)">
-            <summary>
-            Puts a string into the context pool, and writes the integer code of the string ID
-            to the write stream. Checks that str is not null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SaveNonEmptyString(System.String)">
-            <summary>
-            Puts a string into the context pool, and writes the integer code of the string ID
-            to the write stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.Done">
-            <summary>
-            Commit the save operation. This completes writing of the main stream. When in repository
-            mode, it disposes <see cref="F:Microsoft.ML.ModelSaveContext.Writer"/> (but not <see cref="F:Microsoft.ML.ModelSaveContext.Repository"/>).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.Dispose">
-            <summary>
-            When in repository mode, this disposes the Writer (but not the repository).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SaveModel``1(``0,System.String)">
-            <summary>
-            Save a sub model to the given sub directory. This requires <see cref="P:Microsoft.ML.ModelSaveContext.InRepository"/> to be <see langword="true"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SaveModel``1(Microsoft.ML.RepositoryWriter,``0,System.String)">
-            <summary>
-            Save the object by calling TrySaveModel then falling back to .net serialization.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.Save(System.IO.BinaryWriter,System.Action{Microsoft.ML.ModelSaveContext})">
-            <summary>
-            Save to a single-stream by invoking the given action.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelSaveContext.SaveSubModel(System.String,System.Action{Microsoft.ML.ModelSaveContext})">
-            <summary>
-            Save to the given sub directory by invoking the given action. This requires
-            <see cref="P:Microsoft.ML.ModelSaveContext.InRepository"/> to be <see langword="true"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ICanSaveModel">
-            <summary>
-            For saving a model into a repository.
-            Classes implementing <see cref="T:Microsoft.ML.ICanSaveModel"/> should do an explicit implementation of <see cref="M:Microsoft.ML.ICanSaveModel.Save(Microsoft.ML.ModelSaveContext)"/>.
-            Classes inheriting <see cref="T:Microsoft.ML.ICanSaveModel"/> from a base class should overwrite the function invoked by <see cref="M:Microsoft.ML.ICanSaveModel.Save(Microsoft.ML.ModelSaveContext)"/>
-            in that base class, if there is one.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ICanSaveInBinaryFormat">
-            <summary>
-            For saving to a single stream. Note that this interface is mostly deprecated in favor of
-            saving more comprehensive and composable "model" objects, via <see cref="T:Microsoft.ML.ICanSaveModel"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Repository">
-            <summary>
-            Abstraction around a <see cref="T:System.IO.Compression.ZipArchive"/> or other hierarchical storage.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Repository.Entry.Path">
-            <summary>
-            The relative path of this entry.
-            /// </summary>
-        </member>
-        <member name="P:Microsoft.ML.Repository.Entry.Stream">
-            <summary>
-            The stream for this entry. This is either a memory stream or a file stream in
-            the temporary directory. In either case, it is seekable and NOT the actual
-            archive stream.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Repository.ExceptionContext">
-            <summary>
-            Exception context.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Repository.DisposeAllEntries">
-            <summary>
-            Force all open entries to be disposed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Repository.RemoveEntry(Microsoft.ML.Repository.Entry)">
-            <summary>
-            Remove the entry from _open. Note that under normal access patterns, entries are LIFO,
-            so we search from the end of _open.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Repository.OnDispose(Microsoft.ML.Repository.Entry)">
-            <summary>
-            The entry is being disposed. Note that overrides should always call RemoveEntry, in addition to whatever
-            they need to do with the corresponding stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Repository.NormalizeForArchiveEntry(System.String)">
-            <summary>
-            When considering entries inside one of our model archives, we want to ensure that we
-            use a consistent directory separator. Zip archives are stored as flat lists of entries.
-            When we load those entries into our look-up dictionary, we normalize them to always use
-            backward slashes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Repository.NormalizeForFileSystem(System.String)">
-            <summary>
-            When building paths to our local file system, we want to force both forward and backward slashes
-            to the system directory separator character. We do this for cases where we either used Windows-specific
-            path building logic, or concatenated filesystem paths with zip archive entries on Linux.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Repository.GetPath(System.String@,System.String@,System.String,System.String,System.Boolean)">
-            <summary>
-            Constructs both the relative path to the entry and the absolute path of a corresponding
-            temporary file. If createDir is true, makes sure the directory exists within the temp directory.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.RepositoryWriter.Commit">
-            <summary>
-            Commit the writing of the repository. This signals successful completion of the write.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.SignatureEntryPointModule">
-            <summary>
-            This is a signature for classes that are 'holders' of entry points and components.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.EntryPointModuleAttribute">
-            <summary>
-            A simplified assembly attribute for marking EntryPoint modules.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointUtils.CheckInputArgs(Microsoft.ML.Runtime.IExceptionContext,System.Object)">
-             <summary>
-             Performs checks on an EntryPoint input class equivalent to the checks that are done
-             when parsing a JSON EntryPoint graph.
-            
-             Call this method from EntryPoint methods to ensure that range and required checks are performed
-             in a consistent manner when EntryPoints are created directly from code.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointUtils.FindColumnOrNull(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.DataViewSchema,Microsoft.ML.EntryPoints.Optional{System.String})">
-            <summary>
-            Searches for the given column name in the schema. This method applies a
-            common policy that throws an exception if the column is not found
-            and the column name was explicitly specified. If the column is not found
-            and the column name was not explicitly specified, it returns null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointUtils.AsNullable``1(Microsoft.ML.EntryPoints.Optional{``0})">
-            <summary>
-            Converts EntryPoint Optional{T} types into nullable types, with the
-            implicit value being converted to the null value.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule">
-            <summary>
-            This class defines attributes to annotate module inputs, outputs, entry points etc. when defining
-            the module interface.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute">
-            <summary>
-            An attribute used to annotate the component.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.Name">
-            <summary>
-            The load name of the component. Must be unique within its kind.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.FriendlyName">
-            <summary>
-            UI friendly name. Can contain spaces and other forbidden for Name symbols.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.Aliases">
-            <summary>
-            Alternative names of the component. Each alias must also be unique in the component's kind.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.Alias">
-            <summary>
-            Comma-separated <see cref="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.Aliases"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.Desc">
-            <summary>
-            Description of the component.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.ComponentAttribute.DocName">
-            <summary>
-            This should indicate a name of an embedded resource that contains detailed documents
-            for the component, for example, markdown document with the .md extension. The embedded resource
-            is assumed to be in the same assembly as the class on which this attribute is ascribed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.ComponentKindAttribute">
-            <summary>
-            An attribute used to annotate the signature interface.
-            Effectively, this is a way to associate the signature interface with a user-friendly name.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.EntryPointKindAttribute">
-            <summary>
-            An attribute used to annotate the kind of entry points.
-            Typically it is used on the input classes.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.OutputAttribute">
-            <summary>
-            An attribute used to annotate the outputs of the module.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.OutputAttribute.Name">
-            <summary>
-            Official name of the output. If it is not specified, the field name is used.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.OutputAttribute.Desc">
-            <summary>
-            The description of the output.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.OutputAttribute.SortOrder">
-            <summary>
-            The rank order of the output. Because .NET reflection returns members in an unspecified order, this
-            is the only way to ensure consistency.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.OptionalInputAttribute">
-            <summary>
-            An attribute to indicate that a field is optional in an EntryPoint module.
-            A node can be run without optional input fields.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.RangeAttribute">
-            <summary>
-            An attribute used to annotate the valid range of a numeric input.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.RangeAttribute.Type">
-            <summary>
-            The target type of this range attribute, as determined by the type of
-            the set range bound values.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.RangeAttribute.Min">
-            <summary>
-            An inclusive lower bound of the value.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.RangeAttribute.Max">
-            <summary>
-            An inclusive upper bound of the value.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.RangeAttribute.Inf">
-            <summary>
-            An exclusive lower bound of the value.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.RangeAttribute.Sup">
-            <summary>
-            An exclusive upper bound of the value.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.SweepableParamAttribute">
-            <summary>
-            An attribute used to indicate suggested sweep ranges for parameter sweeping.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.SweepableDiscreteParamAttribute">
-            <summary>
-            An attribute used to indicate suggested sweep ranges for discrete parameter sweeping.
-            The value is the index of the option chosen. Use Options[Value] to get the corresponding
-            option using the index.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.SweepableFloatParamAttribute">
-            <summary>
-            An attribute used to indicate suggested sweep ranges for float parameter sweeping.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.SweepableLongParamAttribute">
-            <summary>
-            An attribute used to indicate suggested sweep ranges for long parameter sweeping.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.EntryPointAttribute">
-            <summary>
-            An attribute to mark an entry point of a module.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.EntryPointAttribute.Name">
-            <summary>
-            The entry point name.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.EntryPointAttribute.Desc">
-            <summary>
-            The entry point description.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.EntryPointAttribute.UserName">
-            <summary>
-            UI friendly name. Can contain spaces and other forbidden for Name symbols.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TlcModule.EntryPointAttribute.ShortName">
-            <summary>
-            Short name of the Entry Point
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TlcModule.DataKind">
-            <summary>
-            The list of data types that are supported as inputs or outputs.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Unknown">
-            <summary>
-            Not used.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Int">
-            <summary>
-            Integer, including long.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.UInt">
-            <summary>
-            Unsigned integer, including ulong.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Float">
-            <summary>
-            Floating point, including double.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Char">
-            <summary>
-            A char.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.String">
-            <summary>
-            A string.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Bool">
-            <summary>
-            A boolean value.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.DataView">
-            <summary>
-            A dataset, represented by an <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.FileHandle">
-            <summary>
-            A file handle, represented by an <see cref="T:Microsoft.ML.Data.IFileHandle"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.TransformModel">
-            <summary>
-            A transform model, represented by an <see cref="T:Microsoft.ML.EntryPoints.TransformModel"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.PredictorModel">
-            <summary>
-            A predictor model, represented by an <see cref="T:Microsoft.ML.EntryPoints.PredictorModel"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Enum">
-            <summary>
-            An enum: one value of a specified list.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Array">
-            <summary>
-            An array (0 or more values of the same type, accessible by index).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Dictionary">
-            <summary>
-            A dictionary (0 or more values of the same type, identified by a unique string key).
-            The underlying C# representation is <see cref="T:System.Collections.Generic.Dictionary`2"/>
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TlcModule.DataKind.Component">
-            <summary>
-            A component of a specified kind. The component is identified by the "load name" (unique per kind) and,
-            optionally, a set of parameters, unique to each component. Example: "BinaryClassifierEvaluator{threshold=0.5}".
-            The C# representation is <see cref="T:Microsoft.ML.Runtime.IComponentFactory"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.Optional">
-            <summary>
-            The untyped base class for 'maybe'.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.Optional.IsExplicit">
-            <summary>
-            Whether the value was set 'explicitly', or 'implicitly'.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.Optional`1">
-             <summary>
-             This is a 'maybe' class that is able to differentiate the cases when the value is set 'explicitly', or 'implicitly'.
-             The idea is that if the default value is specified by the user, in some cases it needs to be treated differently
-             than if it's auto-filled.
-            
-             An example is the weight column: the default behavior is to use 'Weight' column if it's present. But if the user explicitly sets
-             the weight column to be 'Weight', we need to actually enforce the presence of the column.
-             </summary>
-             <typeparam name="T">The type of the value</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.Optional`1.Implicit(`0)">
-            <summary>
-            Create the 'implicit' value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.Optional`1.op_Implicit(Microsoft.ML.EntryPoints.Optional{`0})~`0">
-            <summary>
-            The implicit conversion into <typeparamref name="T"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.Optional`1.op_Implicit(`0)~Microsoft.ML.EntryPoints.Optional{`0}">
-            <summary>
-            The implicit conversion from <typeparamref name="T"/>.
-            This will assume that the parameter is set 'explicitly'.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.PredictorModel">
-            <summary>
-            Base type for standard predictor model port type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.PredictorModel.Save(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Save the model to the given stream.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.PredictorModel.TransformModel">
-            <summary>
-            Extract only the transform portion of the predictor model.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.PredictorModel.Predictor">
-            <summary>
-            Extract the predictor object out of the predictor model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.PredictorModel.Apply(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.EntryPoints.TransformModel)">
-            <summary>
-            Apply the predictor model to the transform model and return the resulting predictor model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.PredictorModel.PrepareData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedData@,Microsoft.ML.IPredictor@)">
-            <summary>
-            For a given input data, return role mapped data and the predictor object.
-            The scoring entry point will hopefully know how to construct a scorer out of them.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.PredictorModel.GetLabelInfo(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.DataViewType@)">
-            <summary>
-            Returns a string array containing the label names of the label column type predictor was trained on.
-            If the training label is a key with text key value annotation, it should return this annotation. The order of the labels should be consistent
-            with the key values. Otherwise, it returns null.
-            </summary>
-            <param name="env"/>
-            <param name="labelType">The column type of the label the predictor was trained on.</param>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.PredictorModel.GetTrainingSchema(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> that was used in training.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TransformModel">
-            <summary>
-            Interface for standard transform model port type.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TransformModel.InputSchema">
-            <summary>
-            The input schema that this transform model was originally instantiated on.
-            Note that the schema may have columns that aren't needed by this transform model.
-            If an <see cref="T:Microsoft.ML.IDataView"/> exists with this schema, then applying this transform model to it
-            shouldn't fail because of column type issues.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TransformModel.OutputSchema">
-            <summary>
-            The output schema that this transform model was originally instantiated on. The schema resulting
-            from <see cref="M:Microsoft.ML.EntryPoints.TransformModel.Apply(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.EntryPoints.TransformModel)"/> may differ from this, similarly to how
-            <see cref="P:Microsoft.ML.EntryPoints.TransformModel.InputSchema"/> may differ from the schema of dataviews we apply this transform model to.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModel.Apply(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView)">
-            <summary>
-            Apply the transform(s) in the model to the given input data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModel.Apply(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.EntryPoints.TransformModel)">
-            <summary>
-            Apply the transform(s) in the model to the given transform model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModel.Save(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Save the model to the given stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModel.AsRowToRowMapper(Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            Returns the transform model as an <see cref="T:Microsoft.ML.Data.IRowToRowMapper"/> that can output a row
-            given a row with the same schema as <see cref="P:Microsoft.ML.EntryPoints.TransformModel.InputSchema"/>.
-            </summary>
-            <returns>The transform model as an <see cref="T:Microsoft.ML.Data.IRowToRowMapper"/>. If not all transforms
-            in the pipeline are <see cref="T:Microsoft.ML.Data.IRowToRowMapper"/> then it returns <see langword="null"/>.</returns>
-        </member>
-        <member name="T:Microsoft.ML.TelemetryMessage">
-            <summary>
-            A telemetry message.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TelemetryTrace">
-            <summary>
-            Message with one long text and bunch of small properties (limit on value is ~1020 chars)
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TelemetryException">
-            <summary>
-            Message with exception
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TelemetryMetric">
-            <summary>
-            Message with metric value and it properites
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.PredictionKind">
-            <summary>
-            Type of prediction task. Note that this is a legacy structure and usage of this should generally be
-            discouraged in future projects. Its presence suggests that there are privileged and supported
-            tasks, and anything outside of this is unsupported. This runs rather contrary to the idea of this
-            being an expandable framework, and it is inappropriately limiting. For legacy pipelines based on
-            <see cref="T:Microsoft.ML.ITrainer"/> and <see cref="T:Microsoft.ML.IPredictor"/> it is still useful, but for things based on
-            the <see cref="T:Microsoft.ML.IEstimator`1"/> idiom, it is inappropriate.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.IPredictor">
-            <summary>
-            Weakly typed version of IPredictor.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.IPredictor.PredictionKind">
-            <summary>
-            Return the type of prediction task.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.IPredictorProducing`1">
-            <summary>
-            A predictor the produces values of the indicated type.
-            REVIEW: Determine whether this is just a temporary shim or long term solution.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.IDistPredictorProducing`2">
-            <summary>
-            A predictor that produces values and distributions of the indicated types.
-            Note that from a public API perspective this is bad.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.SignatureTrainer">
-            <summary>
-            Loadable class signatures for trainers. Typically each trainer should register with
-            both SignatureTrainer and SignatureXxxTrainer where Xxx is the prediction kind.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ITrainer">
-            <summary>
-            The base interface for a trainers. Implementors should not implement this interface directly,
-            but rather implement the more specific <see cref="T:Microsoft.ML.ITrainer`1"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ITrainer.Info">
-            <summary>
-            Auxiliary information about the trainer in terms of its capabilities
-            and requirements.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ITrainer.PredictionKind">
-            <summary>
-            Return the type of prediction task for the produced predictor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ITrainer.Train(Microsoft.ML.TrainContext)">
-            <summary>
-             Trains a predictor.
-            </summary>
-            <param name="context">A context containing at least the training data</param>
-            <returns>The trained predictor</returns>
-            <seealso cref="M:Microsoft.ML.ITrainer`1.Train(Microsoft.ML.TrainContext)"/>
-        </member>
-        <member name="T:Microsoft.ML.ITrainer`1">
-            <summary>
-            Strongly typed generic interface for a trainer. A trainer object takes training data
-            and produces a predictor.
-            </summary>
-            <typeparam name="TPredictor"> Type of predictor produced</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.ITrainer`1.Train(Microsoft.ML.TrainContext)">
-            <summary>
-             Trains a predictor.
-            </summary>
-            <param name="context">A context containing at least the training data</param>
-            <returns>The trained predictor</returns>
-        </member>
-        <member name="M:Microsoft.ML.TrainerExtensions.Train(Microsoft.ML.ITrainer,Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Convenience train extension for the case where one has only a training set with no auxiliary information.
-            Equivalent to calling <see cref="M:Microsoft.ML.ITrainer.Train(Microsoft.ML.TrainContext)"/>
-            on a <see cref="T:Microsoft.ML.TrainContext"/> constructed with <paramref name="trainData"/>.
-            </summary>
-            <param name="trainer">The trainer</param>
-            <param name="trainData">The training data.</param>
-            <returns>The trained predictor</returns>
-        </member>
-        <member name="M:Microsoft.ML.TrainerExtensions.Train``1(Microsoft.ML.ITrainer{``0},Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Convenience train extension for the case where one has only a training set with no auxiliary information.
-            Equivalent to calling <see cref="M:Microsoft.ML.ITrainer`1.Train(Microsoft.ML.TrainContext)"/>
-            on a <see cref="T:Microsoft.ML.TrainContext"/> constructed with <paramref name="trainData"/>.
-            </summary>
-            <param name="trainer">The trainer</param>
-            <param name="trainData">The training data.</param>
-            <returns>The trained predictor</returns>
-        </member>
-        <member name="T:Microsoft.ML.TreePredictor.ITreeEnsemble">
-            <summary>
-            Predictor that has ensemble tree structures and returns collection of trees.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TreePredictor.ITreeEnsemble.NumTrees">
-            <summary>
-            Returns the number of trees in the ensemble.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TreePredictor.ITreeEnsemble.GetTrees">
-            <summary>
-            Returns the collection of trees.
-            </summary>
-            <returns>Collection of trees</returns>
-        </member>
-        <member name="T:Microsoft.ML.TreePredictor.ITree">
-            <summary>
-            Type of tree used in ensemble of tree based predictors
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TreePredictor.ITree.GtChild">
-            <summary>
-            Returns the array of right(Greater than) child nodes of every interior nodes
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TreePredictor.ITree.LteChild">
-            <summary>
-            Returns the array of left(Leser than or equal to) nodes of every interior nodes
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TreePredictor.ITree.NumNodes">
-            <summary>
-            returns the number of interior nodes.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TreePredictor.ITree.NumLeaves">
-            <summary>
-            Returns the number of leaf nodes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TreePredictor.ITree.GetNode(System.Int32,System.Boolean,System.Collections.Generic.IEnumerable{System.String})">
-            <summary>
-            Returns node structure for the given node
-            </summary>
-            <param name="nodeId">Node id</param>
-            <param name="isLeaf">Flag to denote whether the node is leaf or not</param>
-            <param name="featureNames">Feature names collection</param>
-            <returns>Node structure</returns>
-        </member>
-        <member name="T:Microsoft.ML.TreePredictor.ITree`1">
-            <summary>
-            Type of tree used in ensemble of tree based predictors
-            </summary>
-            <typeparam name="TFeatures">Type of features container (instance) on which to make predictions</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.TreePredictor.ITree`1.GetLeaf(`0@)">
-            <summary>
-            Returns the leaf node for the given instance.
-            </summary>
-            <param name="features">Type of features container (instance) on which to make predictions</param>
-            <returns>node id</returns>
-            <typeparamref name="TFeatures">Type of features container (instance) on which to make predictions</typeparamref>
-        </member>
-        <member name="T:Microsoft.ML.TreePredictor.INode">
-            <summary>
-            Type to represent the structure of node
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TreePredictor.INode.KeyValues">
-            <summary>
-            Returns Key value pairs representing the properties of the node.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TreePredictor.NodeKeys">
-            <summary>
-            Keys to represent the properties of node.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.SplitName">
-            <summary>
-            Name of the the interior node. It is Feature name if it is fasttree. Type is string for default trees.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.SplitGain">
-            <summary>
-            Split gain of the interior node. Type is double for default trees.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.Threshold">
-            <summary>
-            Threshold value of the interior node. Type is string for default trees.
-            It is expected that the string has exactly two space separated components.
-            i. The first one should be the operator
-            ii. The second one should be the actual threshold
-            For ex., for a split like f1 &lt;= 10, expected Threshold is "&lt;= 10"
-            For a split like color not-in { blue, green }, expected Threshold is "not-in { blue, green }"
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.GainValue">
-            <summary>
-            Gain value (specific to fasttree) of the interior node. Type is double for default trees.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.PreviousLeafValue">
-            <summary>
-            Previous leaf value(specific to fasttree) of the interior node. Type is double for default trees.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.LeafValue">
-            <summary>
-            Leaf value of the leaf node. Type is double for default trees.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TreePredictor.NodeKeys.Extras">
-            <summary>
-            Extra items that will be displayed in the tool-tip. Type is string for default trees.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TrainContext">
-            <summary>
-            Holds information relevant to trainers. Instances of this class are meant to be constructed and passed
-            into <see cref="M:Microsoft.ML.ITrainer`1.Train(Microsoft.ML.TrainContext)"/> or <see cref="M:Microsoft.ML.ITrainer.Train(Microsoft.ML.TrainContext)"/>.
-            This holds at least a training set, as well as optionally a predictor.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainContext.TrainingSet">
-            <summary>
-            The training set. Cannot be <c>null</c>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainContext.ValidationSet">
-            <summary>
-            The validation set. Can be <c>null</c>. Note that passing a non-<c>null</c> validation set into
-            a trainer that does not support validation sets should not be considered an error condition. It
-            should simply be ignored in that case.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainContext.TestSet">
-            <summary>
-            The test set, whose uses are very similar to validation set but it should not directly and indirectly
-            affect the training process. One major difference between validation set and test test is that validation
-            can affect the training process by, for example, early stopping. Note that early stopping is a technique
-            which terminates the training process once the scores computed on validation set starts getting worse.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainContext.InitialPredictor">
-            <summary>
-            The initial predictor, for incremental training. Note that if a <see cref="T:Microsoft.ML.ITrainer"/> implementor
-            does not support incremental training, then it can ignore it similarly to how one would ignore
-            <see cref="P:Microsoft.ML.TrainContext.ValidationSet"/>. However, if the trainer does support incremental training and there
-            is something wrong with a non-<c>null</c> value of this, then the trainer ought to throw an exception.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TrainContext.#ctor(Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.IPredictor)">
-            <summary>
-            Constructor, given a training set and optional other arguments.
-            </summary>
-            <param name="trainingSet">Will set <see cref="P:Microsoft.ML.TrainContext.TrainingSet"/> to this value. This must be specified</param>
-            <param name="validationSet">Will set <see cref="P:Microsoft.ML.TrainContext.ValidationSet"/> to this value if specified</param>
-            <param name="testSet">Will set <see cref="P:Microsoft.ML.TrainContext.TestSet"/> to this value if specified</param>
-            <param name="initialPredictor">Will set <see cref="P:Microsoft.ML.TrainContext.InitialPredictor"/> to this value if specified</param>
-        </member>
-        <member name="T:Microsoft.ML.TrainerInfo">
-            <summary>
-            Characteristics of a trainer. Exposed via the Info property of each trainer.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainerInfo.NeedNormalization">
-            <summary>
-            Whether the trainer needs to see data in normalized form. Only non-parametric trainers will tend to return
-            <see langword="false"/> here.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainerInfo.NeedCalibration">
-            <summary>
-            Whether the trainer needs calibration to produce probabilities. As a general rule only trainers that produce
-            binary classifier predictors that also do not have a natural probabilistic interpretation should have a
-            <see langword="true"/> value here.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainerInfo.WantCaching">
-            <summary>
-            Whether this trainer could benefit from a cached view of the data. Trainers that have few passes over the
-            data, or that need to build their own custom data structure over the data, will have a <c>false</c> here.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainerInfo.SupportsValidation">
-            <summary>
-            Whether the trainer supports validation set via <see cref="P:Microsoft.ML.TrainContext.ValidationSet"/>. Not implementing
-            this interface and returning <c>false</c> from this property is an indication the trainer does not support
-            that.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainerInfo.SupportsTest">
-            <summary>
-            Whether the trainer can use test set via <see cref="P:Microsoft.ML.TrainContext.TestSet"/>. Not implementing
-            this interface and returning <c>false</c> from this property is an indication the trainer does not support
-            that.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TrainerInfo.SupportsIncrementalTraining">
-            <summary>
-            Whether the trainer can support incremental trainers via <see cref="P:Microsoft.ML.TrainContext.InitialPredictor"/>. Not
-            implementing this interface and returning <c>true</c> from this property is an indication the trainer does
-            not support that.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TrainerInfo.#ctor(System.Boolean,System.Boolean,System.Boolean,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Initializes with the given parameters. The parameters have default values for the most typical values
-            for most classical trainers.
-            </summary>
-            <param name="normalization">The value for the property <see cref="P:Microsoft.ML.TrainerInfo.NeedNormalization"/></param>
-            <param name="calibration">The value for the property <see cref="P:Microsoft.ML.TrainerInfo.NeedCalibration"/></param>
-            <param name="caching">The value for the property <see cref="P:Microsoft.ML.TrainerInfo.WantCaching"/></param>
-            <param name="supportValid">The value for the property <see cref="P:Microsoft.ML.TrainerInfo.SupportsValidation"/></param>
-            <param name="supportIncrementalTrain">The value for the property <see cref="P:Microsoft.ML.TrainerInfo.SupportsIncrementalTraining"/></param>
-            <param name="supportTest">The value for the property <see cref="P:Microsoft.ML.TrainerInfo.SupportsTest"/></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ArrayUtils.TryFindIndexSorted(System.Int32[],System.Int32,System.Int32,System.Int32,System.Int32@)">
-            <summary>
-            Akin to <c>FindIndexSorted</c>, except stores the found index in the output
-            <c>index</c> parameter, and returns whether that index is a valid index
-            pointing to a value equal to the input parameter <c>value</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ArrayUtils.FindIndexSorted(System.Int32[],System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ArrayUtils.FindIndexSorted(System.ReadOnlySpan{System.Int32},System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.BigArray`1">
-            <summary>
-            An array-like data structure that supports storing more than
-            <see cref="F:Microsoft.ML.Internal.Utilities.Utils.ArrayMaxSize"/> many entries, up to 0x7FEFFFFF00000L.
-            The entries are indexed by 64-bit integers, and a single entry can be accessed by
-            the indexer if no modifications to the entries is desired, or the <see cref="M:Microsoft.ML.Internal.Utilities.BigArray`1.ApplyAt(System.Int64,Microsoft.ML.Internal.Utilities.BigArray{`0}.Visitor)"/>
-            method. Efficient looping can be accomplished by calling the <see cref="M:Microsoft.ML.Internal.Utilities.BigArray`1.ApplyRange(System.Int64,System.Int64,Microsoft.ML.Internal.Utilities.BigArray{`0}.Visitor)"/> method.
-            This data structure employs the "length and capacity" pattern. The logical length
-            can be retrieved from the <see cref="P:Microsoft.ML.Internal.Utilities.BigArray`1.Length"/> property, which can possibly be strictly less
-            than the total capacity.
-            </summary>
-            <typeparam name="T">The type of entries.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.BigArray`1.Length">
-            <summary>
-            Gets the logical length of the big array.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.BigArray`1.Item(System.Int64)">
-            <summary>
-            Gets or sets the entry at <paramref name="index"/>.
-            </summary>
-            <remarks>
-            This indexer is not efficient for looping. If looping access to entries is desired,
-            use the <see cref="M:Microsoft.ML.Internal.Utilities.BigArray`1.ApplyRange(System.Int64,System.Int64,Microsoft.ML.Internal.Utilities.BigArray{`0}.Visitor)"/> method instead.
-            Note that unlike a normal array, the value returned from this indexer getter cannot be modified
-            (for example, by ++ operator or passing into a method as a ref parameter). To modify an entry, use
-            the <see cref="M:Microsoft.ML.Internal.Utilities.BigArray`1.ApplyAt(System.Int64,Microsoft.ML.Internal.Utilities.BigArray{`0}.Visitor)"/> method instead.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.#ctor(System.Int64)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Internal.Utilities.BigArray`1"/> class with a specified size.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.ApplyAt(System.Int64,Microsoft.ML.Internal.Utilities.BigArray{`0}.Visitor)">
-            <summary>
-            Applies a <see cref="T:Microsoft.ML.Internal.Utilities.BigArray`1.Visitor"/> method at a given <paramref name="index"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.ApplyRange(System.Int64,System.Int64,Microsoft.ML.Internal.Utilities.BigArray{`0}.Visitor)">
-            <summary>
-            Implements a more efficient way to loop over index range in [min, lim) and apply
-            the specified method delegate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.FillRange(System.Int64,System.Int64,`0)">
-            <summary>
-            Fills the entries with index in [min, lim) with the given value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.Resize(System.Int64)">
-            <summary>
-            Resizes the array so that its logical length equals <paramref name="newLength"/>. This method
-            is more efficient than initialize another array and copy the entries because it preserves
-            existing blocks. The actual capacity of the array may become larger than <paramref name="newLength"/>.
-            If <paramref name="newLength"/> equals <see cref="P:Microsoft.ML.Internal.Utilities.BigArray`1.Length"/>, then no operation is done.
-            If <paramref name="newLength"/> is less than <see cref="P:Microsoft.ML.Internal.Utilities.BigArray`1.Length"/>, the array shrinks in size
-            so that both its length and its capacity equal <paramref name="newLength"/>.
-            If <paramref name="newLength"/> is larger than <see cref="P:Microsoft.ML.Internal.Utilities.BigArray`1.Length"/>, the array capacity grows
-            to the smallest integral multiple of <see cref="F:Microsoft.ML.Internal.Utilities.BigArray`1.BlockSize"/> that is larger than <paramref name="newLength"/>,
-            unless <paramref name="newLength"/> is less than <see cref="F:Microsoft.ML.Internal.Utilities.BigArray`1.BlockSize"/>, in which case the capacity
-            grows to double its current capacity or <paramref name="newLength"/>, which ever is larger,
-            but up to <see cref="F:Microsoft.ML.Internal.Utilities.BigArray`1.BlockSize"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.TrimCapacity">
-            <summary>
-            Trims the capacity to logical length.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.AddRange(System.ReadOnlySpan{`0})">
-            <summary>
-            Appends the elements of <paramref name="src"/> to the end.
-            This method is thread safe related to calls to <see cref="M:CopyTo"/> (assuming those copy operations
-            are happening over ranges already added), but concurrent calls to
-            <see cref="M:AddRange"/> should not be attempted. Intended usage is that
-            one thread will call this method, while multiple threads may access
-            previously added ranges from <see cref="M:CopyTo"/>, concurrently with
-            this method or themselves.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BigArray`1.CopyTo(System.Int64,System.Span{`0},System.Int32)">
-            <summary>
-            Copies the subarray starting from index <paramref name="idx"/> of length
-            <paramref name="length"/> to the destination array <paramref name="dst"/>.
-            Concurrent calls to this method is valid even with one single concurrent call
-            to <see cref="M:AddRange"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BinFinderBase.GetSplitValue(System.Single,System.Single)">
-            <summary>
-            This should normally be just (a + b) / 2, except in one interesting case:
-            If a and b are 'consecutive' floats (they differ only in the least significant bit),
-            the above expression is possible to be rounded to a.
-            This can lead to bin bounds that are not strictly increasing!
-            Also note that the simple (a + b) / 2 can overflow, that's the reason for a / 2 + b / 2.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.BinFinderBase.GetSplitValue(System.Double,System.Double)">
-            <summary>
-            This should normally be just (a + b) / 2, except in one interesting case:
-            If a and b are 'consecutive' floats (they differ only in the least significant bit),
-            the above expression is possible to be rounded to a.
-            This can lead to bin bounds that are not strictly increasing!
-            Also note that the simple (a + b) / 2 can overflow, that's the reason for a / 2 + b / 2.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.GreedyBinFinder.PlacePegs">
-            <summary>
-            Initial placement of the pegs.
-            Places pegs one by one and always picks the largest existing segment to split.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.GreedyBinFinder.GetSegmentSplit(System.Int32,System.Int32)">
-            <summary>
-            Gets the best split for a peg between min and max.
-            In case of a tie, use 'pos' to pick the location closer to the more natural split.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.GreedyBinFinder.GetSplitEnergy(System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Computes the energy reduction for splitting segment [min, max] at 'split' point
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.GreedyBinFinder.BetterPlacement(System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Returns true if 'i' is a better peg placement than 'j', which means it is closer to the ideal position for peg 'pos'
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.GreedyBinFinder.ReduceEnergy">
-            <summary>
-            After the initial peg placement,
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.DynamicBinFinder.GetEnergyBounds(System.Int32,System.Int32,System.Double,System.Double@,System.Double@)">
-            <summary>
-            For the remaining bins, compute the best energy distribution and the worst energy distribution
-            The best energy distribution:
-                - make the distances as equal as possible;
-                - some of them will be 'ave' and the rest will be 'ave+1'
-            The worst energy distribution:
-                - all except one distance will be 1
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.Utils.CustomSearchDirEnvVariable">
-            <summary>
-            Environment variable containing optional resources path.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindExistentFileOrNull(System.String,System.String,System.String,System.Type)">
-             <summary>
-             Attempts to find a file that is expected to be distributed with a TLC component. Searches
-             in the following order:
-             1. In the customSearchDir directory, if it is provided.
-             2. In the custom search directory specified by the
-                <seealso cref="F:Microsoft.ML.Internal.Utilities.Utils.CustomSearchDirEnvVariable"/> environment variable.
-             3. In the root folder of the provided assembly.
-             4. In the folder of this assembly.
-             In each case it searches the file in the directory provided and combined with folderPrefix.
-            
-             If any of these locations contain the file, a full local path will be returned, otherwise this
-             method will return null.
-             </summary>
-             <param name="fileName">File name to find</param>
-             <param name="folderPrefix">folder prefix, relative to the current or customSearchDir</param>
-             <param name="customSearchDir">
-             Custom directory to search for resources.
-             If null, the path specified in the environment variable <seealso cref="F:Microsoft.ML.Internal.Utilities.Utils.CustomSearchDirEnvVariable"/>
-             will be used.
-             </param>
-             <param name="assemblyForBasePath">
-             Assembly type to search the path of.
-             </param>
-             <returns>
-             Path to the existing file. Null if not found.
-             </returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.CreateFolderIfNotExists(System.String)">
-            <summary>
-             Given a folder path, create it if it doesn't exist.
-             Fails if the folder name is empty, or can't create the folder.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.CopyRange(System.IO.Stream,System.IO.Stream,System.Int64,System.Int32)">
-            <summary>
-            Similar to Stream.CopyTo but takes a length rather than assuming copy to end.  Returns amount copied.
-            </summary>
-            <param name="source">Source stream to copy from</param>
-            <param name="destination">Destination stream to copy to</param>
-            <param name="length">Number of bytes to copy</param>
-            <param name="bufferSize">Size of buffer to use when copying, default is 81920 to match that of Stream</param>
-            <returns>number of bytes copied</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteIntArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.Int32})">
-            <summary>
-            Writes a length prefixed span of ints.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteIntsNoCount(System.IO.BinaryWriter,System.ReadOnlySpan{System.Int32})">
-            <summary>
-            Writes a span of ints without the length prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteUIntArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.UInt32})">
-            <summary>
-            Writes a length prefixed span of uints.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteUIntsNoCount(System.IO.BinaryWriter,System.ReadOnlySpan{System.UInt32})">
-            <summary>
-            Writes a span of uints without the length prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteByteArray(System.IO.BinaryWriter,System.Byte[])">
-            <summary>
-            Writes a length prefixed array of bytes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteByteArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.Byte})">
-            <summary>
-            Writes a length prefixed span of bytes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteByteArray(System.IO.BinaryWriter,System.Byte[],System.Int32)">
-            <summary>
-            Writes a length prefixed array of bytes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteBytesNoCount(System.IO.BinaryWriter,System.Byte[],System.Int32)">
-            <summary>
-            Writes an array of bytes without the length prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteSingleArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.Single})">
-            <summary>
-            Writes a length prefixed span of Floats.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteSingleArray(System.IO.BinaryWriter,System.Collections.Generic.IEnumerable{System.Single},System.Int32)">
-            <summary>
-            Writes a length prefixed array of Floats.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteSinglesNoCount(System.IO.BinaryWriter,System.ReadOnlySpan{System.Single})">
-            <summary>
-            Writes a span of Floats without the length prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteDoubleArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.Double})">
-            <summary>
-            Writes a length prefixed span of doubles.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteDoublesNoCount(System.IO.BinaryWriter,System.ReadOnlySpan{System.Double})">
-            <summary>
-            Writes a span of doubles without the length prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteBoolByteArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.Boolean})">
-            <summary>
-            Writes a length prefixed span of bools as bytes with 0/1 values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteBoolBytesNoCount(System.IO.BinaryWriter,System.ReadOnlySpan{System.Boolean})">
-            <summary>
-            Writes a span of bools as bytes with 0/1 values, without the length prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteCharArray(System.IO.BinaryWriter,System.ReadOnlySpan{System.Char})">
-            <summary>
-            Writes a length prefixed span of chars.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteBitArray(System.IO.BinaryWriter,System.Collections.BitArray)">
-            <summary>
-            Writes a length prefixed array of packed bits.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.WriteLeb128Int(System.IO.BinaryWriter,System.UInt64)">
-            <summary>
-            Writes what Microsoft calls a UTF-7 encoded number in the binary reader and
-            writer string methods. For non-negative integers this is equivalent to LEB128
-            (see https://en.wikipedia.org/wiki/LEB128).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.Leb128IntLength(System.UInt64)">
-            <summary>
-            The number of bytes that would be written if one were to attempt to write
-            the value in LEB128.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.ReadBlock(System.IO.Stream,System.Byte[],System.Int32,System.Int32)">
-            <summary>
-            If this return it will read exactly length bytes, and unlike the
-            regular read method fails if it cannot.
-            </summary>
-            <param name="s">The stream</param>
-            <param name="buff">The buffer into which to write the data.</param>
-            <param name="offset">The offset of the output array into which to write.</param>
-            <param name="length">The number of bytes to read.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.TryReadBlock(System.IO.Stream,System.Byte[],System.Int32,System.Int32)">
-            <summary>
-            If this return it will try to read exactly length bytes.
-            </summary>
-            <param name="s">The stream</param>
-            <param name="buff">The buffer into which to write the data.</param>
-            <param name="offset">The offset of the output array into which to write.</param>
-            <param name="length">The number of bytes to read.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.ReadLeb128Int(System.IO.BinaryReader)">
-            <summary>
-            Reads a LEB128 encoded unsigned integer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.OpenWriter(System.IO.Stream,System.Text.Encoding,System.Int32,System.Boolean)">
-            <summary>
-            A convenience method to open a stream writer, by default with no-BOM UTF-8 encoding,
-            buffer size of 1K, and the stream left open.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.CheckOptionalUserDirectory(System.String,System.String)">
-            <summary>
-            Checks that the directory of the file name passed in already exists.
-            This is meant to be called before calling an API that creates the file,
-            so the file need not exist.
-            </summary>
-            <param name="file">An absolute or relative file path, or null to skip the check
-            (useful for optional user parameters)</param>
-            <param name="userArgument">The user level parameter name, as exposed by the command line help</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.Utils.ImmediateBackgroundThreadPool">
-            <summary>
-            Naive thread pool focused on reducing the latency to execution of chunky work items as much as possible.
-            If a thread is ready to process a work item the moment a work item is queued, it's used, otherwise
-            a new thread is created. This is meant as a stop-gap measure for workloads that would otherwise be
-            creating a new thread for every work item.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.Utils.ImmediateBackgroundThreadPool.IdleMilliseconds">
-            <summary>How long should threads wait around for additional work items before retiring themselves.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.Utils.ImmediateBackgroundThreadPool._queue">
-            <summary>The queue of work items. Also used as a lock to protect all relevant state.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.Utils.ImmediateBackgroundThreadPool._availableThreads">
-            <summary>The number of threads currently waiting for work to arrive.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.ImmediateBackgroundThreadPool.QueueAsync(System.Action)">
-            <summary>
-            Queues an <see cref="T:System.Action"/> delegate to be executed immediately on another thread,
-            and returns a <see cref="T:System.Threading.Tasks.Task"/> that represents its eventual completion. The task will
-            always end in the <see cref="F:System.Threading.Tasks.TaskStatus.RanToCompletion"/> state; if the delegate throws
-            an exception, it'll be allowed to propagate on the thread, crashing the process.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.ImmediateBackgroundThreadPool.QueueAsync(System.Action{System.Object},System.Object)">
-            <summary>
-            Queues an <see cref="T:System.Action`1"/> delegate and associated state to be executed immediately on another thread,
-            and returns a <see cref="T:System.Threading.Tasks.Task"/> that represents its eventual completion. The task will
-            always end in the <see cref="F:System.Threading.Tasks.TaskStatus.RanToCompletion"/> state; if the delegate throws
-            an exception, it'll be allowed to propagate on the thread, crashing the process.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.CopyTo``1(System.Collections.Generic.List{``0},System.Span{``0},System.Nullable{System.Int32})">
-            <summary>
-            Copies the values from src to dst.
-            </summary>
-            <remarks>
-            This can be removed once we have the APIs from https://github.com/dotnet/corefx/issues/33006.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Collections.Generic.IList{System.Int32},System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Collections.Generic.IList{System.Single},System.Single)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Double[],System.Double)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.TryFindIndexSorted(System.Int32[],System.Int32,System.Int32,System.Int32,System.Int32@)">
-            <summary>
-            Akin to <c>FindIndexSorted</c>, except stores the found index in the output
-            <c>index</c> parameter, and returns whether that index is a valid index
-            pointing to a value equal to the input parameter <c>value</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.TryFindIndexSorted(System.ReadOnlySpan{System.Int32},System.Int32,System.Int32,System.Int32,System.Int32@)">
-            <summary>
-            Akin to <c>FindIndexSorted</c>, except stores the found index in the output
-            <c>index</c> parameter, and returns whether that index is a valid index
-            pointing to a value equal to the input parameter <c>value</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Int32[],System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.ReadOnlySpan{System.Int32},System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Collections.Generic.IList{System.Int32},System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Collections.Generic.IList{System.Single},System.Int32,System.Int32,System.Single)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted(System.Double[],System.Int32,System.Int32,System.Double)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted``1(``0[],System.Int32,System.Int32,System.Func{``0,System.Boolean})">
-            <summary>
-            Finds the unique index for which func(input[i]) == false whenever i &lt; index and
-            func(input[i]) == true whenever i &gt;= index.
-            Callers should guarantee that there is such an index. Uses binary search.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.FindIndexSorted``2(``0[],System.Int32,System.Int32,System.Func{``0,``1,System.Boolean},``1)">
-            <summary>
-            Finds the unique index for which func(input[i], value) == false whenever i &lt; index and
-            func(input[i], value) == true whenever i &gt;= index.
-            Callers should guarantee that there is such an index. Uses binary search.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.IsMonotonicallyIncreasing(System.Collections.Generic.IList{System.Single})">
-            <summary>
-            Checks that an input IList is monotonically increasing.
-            </summary>
-            <param name="values">An array of values</param>
-            <returns>True if the array is monotonically increasing (if each element is greater
-            than or equal to previous elements); false otherwise. ILists containing NaN values
-            are considered to be not monotonically increasing.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.IsMonotonicallyIncreasing(System.Collections.Generic.IList{System.Int32})">
-            <summary>
-            Checks that an input array is monotonically increasing.
-            </summary>
-            <param name="values">An array of values</param>
-            <returns>True if the array is monotonically increasing (if each element is greater
-            than or equal to previous elements); false otherwise.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.IsMonotonicallyIncreasing(System.Collections.Generic.IList{System.Double})">
-            <summary>
-            Checks that an input array is monotonically increasing.
-            </summary>
-            <param name="values">An array of values</param>
-            <returns>True if the array is monotonically increasing (if each element is greater
-            than or equal to previous elements); false otherwise. Arrays containing NaN values
-            are considered to be not monotonically increasing.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.IsIncreasing(System.Int32,System.ReadOnlySpan{System.Int32},System.Int32)">
-            <summary>
-            Returns whether an input integer vector is sorted and unique,
-            and between an inclusive lower and exclusive upper bound for
-            the first and last items, respectively.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.IsIncreasing(System.Int32,System.ReadOnlySpan{System.Int32},System.Int32,System.Int32)">
-            <summary>
-            Returns whether an input integer vector up to <paramref name="len"/>
-            is sorted and unique, and between an inclusive lower and exclusive
-            upper bound for the first and last items, respectively.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.CreateArray``1(System.Int32,``0)">
-            <summary>
-            Create an array of specified length, filled with a specified value
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.BuildSubsetMaps(Microsoft.ML.DataViewSchema,System.Func{Microsoft.ML.DataViewSchema.Column,System.Boolean},System.Int32[]@,System.Int32[]@)">
-            <summary>
-            Given a predicate, over a range of values defined by a limit calculate
-            first the values for which that predicate was true, and second an inverse
-            map.
-            </summary>
-            <param name="schema">The input schema where the predicate can check if columns are active.</param>
-            <param name="pred">The predicate to test for various value</param>
-            <param name="map">An ascending array of values from 0 inclusive
-            to <paramref name="schema.Count.Count"/> exclusive, holding all values for which
-            <paramref name="pred"/> is true</param>
-            <param name="invMap">Forms an inverse mapping of <paramref name="map"/>,
-            so that <c><paramref name="invMap"/>[<paramref name="map"/>[i]] == i</c>,
-            and for other entries not appearing in <paramref name="map"/>,
-            <c><paramref name="invMap"/>[i] == -1</c></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.BuildSubsetMaps(System.Int32,System.Func{System.Int32,System.Boolean},System.Int32[]@,System.Int32[]@)">
-            <summary>
-            Given a predicate, over a range of values defined by a limit calculate
-            first the values for which that predicate was true, and second an inverse
-            map.
-            </summary>
-            <param name="lim">Indicates the exclusive upper bound on the tested values</param>
-            <param name="pred">The predicate to test for various value</param>
-            <param name="map">An ascending array of values from 0 inclusive
-            to <paramref name="lim"/> exclusive, holding all values for which
-            <paramref name="pred"/> is true</param>
-            <param name="invMap">Forms an inverse mapping of <paramref name="map"/>,
-            so that <c><paramref name="invMap"/>[<paramref name="map"/>[i]] == i</c>,
-            and for other entries not appearing in <paramref name="map"/>,
-            <c><paramref name="invMap"/>[i] == -1</c></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.BuildSubsetMaps(System.Int32,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Int32[]@,System.Int32[]@)">
-            <summary>
-            Given the columns needed, over a range of values defined by a limit calculate
-            first the values for which the column is present was true, and second an inverse
-            map.
-            </summary>
-            <param name="lim">Indicates the exclusive upper bound on the tested values</param>
-            <param name="columnsNeeded">The set of columns the calling component operates on.</param>
-            <param name="map">An ascending array of values from 0 inclusive
-            to <paramref name="lim"/> exclusive, holding all values for which
-            <paramref name="columnsNeeded"/> are present.
-            (The respective index appears in the <paramref name="columnsNeeded"/> collection).</param>
-            <param name="invMap">Forms an inverse mapping of <paramref name="map"/>,
-            so that <c><paramref name="invMap"/>[<paramref name="map"/>[i]] == i</c>,
-            and for other entries not appearing in <paramref name="map"/>,
-            <c><paramref name="invMap"/>[i] == -1</c></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.EnsureSize``1(``0[]@,System.Int32,System.Boolean)">
-            <summary>
-            Resizes the array if necessary, to ensure that it has at least <paramref name="min"/> elements.
-            </summary>
-            <param name="array">The array to resize. Can be null.</param>
-            <param name="min">The minimum number of items the new array must have.</param>
-            <param name="keepOld">True means that the old array is preserved, if possible (Array.Resize is called). False
-            means that a new array will be allocated.
-            </param>
-            <returns>The new size, that is no less than <paramref name="min"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.EnsureSize``1(``0[]@,System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Resizes the array if necessary, to ensure that it has at least <paramref name="min"/> and at most <paramref name="max"/> elements.
-            </summary>
-            <param name="array">The array to resize. Can be null.</param>
-            <param name="min">The minimum number of items the new array must have.</param>
-            <param name="max">The maximum number of items the new array can have.</param>
-            <param name="keepOld">True means that the old array is preserved, if possible (Array.Resize is called). False
-            means that a new array will be allocated.
-            </param>
-            <returns>The new size, that is no less than <paramref name="min"/> and no more that <paramref name="max"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.GetCardinality(System.Collections.BitArray)">
-            <summary>
-            Returns the number of set bits in a bit array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)">
-             <summary>
-             Given a generic method with a single type parameter, re-create the generic method on a new type,
-             then reinvoke the method and return the result. A common pattern throughout the code base is to
-             have some sort of generic method, whose parameters and return value are, as defined, non-generic,
-             but whose code depends on some sort of generic type parameter. This utility method exists to make
-             this common pattern more convenient, and also safer so that the arguments, if any, can be type
-             checked at compile time instead of at runtime.
-            
-             Because it is strongly typed, this can only be applied to methods whose return type
-             is known at compile time, that is, that do not depend on the type parameter of the method itself.
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-             <param name="func">A delegate that should be a generic method with a single type parameter.
-             The generic method definition will be extracted, then a new method will be created with the
-             given type parameter, then the method will be invoked.</param>
-             <param name="target">The target of the invocation.</param>
-             <param name="genArg">The new type parameter for the generic method</param>
-             <returns>The return value of the invoked function</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``1(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0},System.Type)">
-            <summary>
-            A static version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``3(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1,``2},``0,System.Type,``1)">
-            <summary>
-            A one-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0,``1},System.Type,``0)">
-            <summary>
-            A one-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``1(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0},System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``3(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo3{``0,``1,``2},``0,System.Type,System.Type,System.Type,``1)">
-            <summary>
-            A one-argument, three-type-parameter version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo3{``0,``1},System.Type,System.Type,System.Type,``0)">
-            <summary>
-            A one-argument, three-type-parameter version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``1(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0},System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``4(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1,``2,``3},``0,System.Type,``1,``2)">
-            <summary>
-            A two-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``3(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0,``1,``2},System.Type,``0,``1)">
-            <summary>
-            A two-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``1(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0},System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``4(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo2{``0,``1,``2,``3},``0,System.Type,System.Type,``1,``2)">
-            <summary>
-            A two-argument, two-type-parameter version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``3(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo2{``0,``1,``2},System.Type,System.Type,``0,``1)">
-            <summary>
-            A two-argument, two-type-parameter version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``1(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0},System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``4(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo3{``0,``1,``2,``3},``0,System.Type,System.Type,System.Type,``1,``2)">
-            <summary>
-            A two-argument, three-type-parameter version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``3(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo3{``0,``1,``2},System.Type,System.Type,System.Type,``0,``1)">
-            <summary>
-            A two-argument, three-type-parameter version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``1(Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1{``0},System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``4(System.Func{``0,``1,``2,``3},System.Type,``0,``1,``2)">
-            <summary>
-            A three-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``5(System.Func{``0,``1,``2,``3,``4},System.Type,``0,``1,``2,``3)">
-            <summary>
-            A four-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``6(System.Func{``0,``1,``2,``3,``4,``5},System.Type,``0,``1,``2,``3,``4)">
-            <summary>
-            A five-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``7(System.Func{``0,``1,``2,``3,``4,``5,``6},System.Type,``0,``1,``2,``3,``4,``5)">
-            <summary>
-            A six-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``8(System.Func{``0,``1,``2,``3,``4,``5,``6,``7},System.Type,``0,``1,``2,``3,``4,``5,``6)">
-            <summary>
-            A seven-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``9(System.Func{``0,``1,``2,``3,``4,``5,``6,``7,``8},System.Type,``0,``1,``2,``3,``4,``5,``6,``7)">
-            <summary>
-            An eight-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``10(System.Func{``0,``1,``2,``3,``4,``5,``6,``7,``8,``9},System.Type,``0,``1,``2,``3,``4,``5,``6,``7,``8)">
-            <summary>
-            A nine-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``11(System.Func{``0,``1,``2,``3,``4,``5,``6,``7,``8,``9,``10},System.Type,``0,``1,``2,``3,``4,``5,``6,``7,``8,``9)">
-            <summary>
-            A ten-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(System.Action,System.Type)">
-            <summary>
-            This is akin to <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke``2(Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1{``0,``1},``0,System.Type)"/>, except applied to
-            <see cref="T:System.Action"/> instead of <see cref="T:System.Func`1"/>.
-            </summary>
-            <param name="act">A delegate that should be a generic method with a single type parameter.
-            The generic method definition will be extracted, then a new method will be created with the
-            given type parameter, then the method will be invoked.</param>
-            <param name="genArg">The new type parameter for the generic method</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke``1(System.Action{``0},System.Type,``0)">
-            <summary>
-            A one-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(System.Action,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke``2(System.Action{``0,``1},System.Type,``0,``1)">
-            <summary>
-            A two-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(System.Action,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke``3(System.Action{``0,``1,``2},System.Type,``0,``1,``2)">
-            <summary>
-            A three-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(System.Action,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke``4(System.Action{``0,``1,``2,``3},System.Type,``0,``1,``2,``3)">
-            <summary>
-            A four-argument version of <see cref="M:Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(System.Action,System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.CmdIndenter.GetIndentedCommandLine(System.String)">
-            <summary>
-            Get indented version of command line or same string if we unable to produce it.
-            </summary>
-            <param name="commandLine">command line</param>
-            <returns>indented version of command line(if possible)</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.CmdIndenter.TryProduceIndentString(System.String,System.CodeDom.Compiler.IndentedTextWriter)">
-            <summary>
-            Try produce indented string for command line.
-            </summary>
-            <param name="text">command line</param>
-            <param name="itw">indenting text writer</param>
-            <returns>true if we was able to produce indented string without any problem</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.DoubleParser.Result">
-            <summary>
-            Result codes from Parse methods. Note that the order matters.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.DoubleParser.Result.Good">
-            <summary>
-            No issues.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.DoubleParser.Result.Empty">
-            <summary>
-            Empty or only whitespace
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.DoubleParser.Result.Extra">
-            <summary>
-            Extra non-whitespace characters after successful parse
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.DoubleParser.Result.Error">
-            <summary>
-            Parsing error
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.DoubleParser.TryParse(System.ReadOnlySpan{System.Char},System.Single@,Microsoft.ML.Internal.Utilities.DoubleParser.OptionFlags)">
-            <summary>
-            This produces zero for an empty string, or NaN depending on the <see cref="F:Microsoft.ML.Internal.Utilities.DoubleParser.OptionFlags.EmptyAsNaN"/> used.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.DoubleParser.TryParse(System.ReadOnlySpan{System.Char},System.Double@,Microsoft.ML.Internal.Utilities.DoubleParser.OptionFlags)">
-            <summary>
-            This produces zero for an empty string, or NaN depending on the <see cref="F:Microsoft.ML.Internal.Utilities.DoubleParser.OptionFlags.EmptyAsNaN"/> used.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FixedSizeQueue`1">
-            <summary>
-            A fixed-length circular array. Items are added at the end. If the array is full, adding
-             an item will result in discarding the least recently added item.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`2">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`1"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is an instance method on an object of type <typeparamref name="TTarget"/>.</description></item>
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`2.Create(System.Linq.Expressions.Expression{System.Func{`0,System.Func{`1}}})">
-             <summary>
-             Creates a <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`2"/> representing the <see cref="T:System.Reflection.MethodInfo"/> for
-             a generic instance method. This helper method allows the instance to be created prior to the creation of any
-             instances of the target type. The following example shows the creation of an instance representing the
-             <see cref="M:System.Object.GetHashCode"/> method:
-            
-             <code>
-             FuncInstanceMethodInfo1&lt;object, int&gt;.Create(obj => obj.GetHashCode)
-             </code>
-             </summary>
-             <param name="expression">The expression which creates the delegate for an instance of the target type.</param>
-             <returns>A <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`2"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for the generic instance method.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`2"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is an instance method on an object of type <typeparamref name="TTarget"/>.</description></item>
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="T">The type of the parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`3.Create(System.Linq.Expressions.Expression{System.Func{`0,System.Func{`1,`2}}})">
-             <summary>
-             Creates a <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`3"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for a generic instance method. This helper method allows the instance to be created prior to the creation of
-             any instances of the target type. The following example shows the creation of an instance representing the
-             <see cref="M:System.Object.Equals(System.Object)"/> method:
-            
-             <code>
-             FuncInstanceMethodInfo1&lt;object, object, int&gt;.Create(obj => obj.Equals)
-             </code>
-             </summary>
-             <param name="expression">The expression which creates the delegate for an instance of the target type.</param>
-             <returns>A <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`3"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for the generic instance method.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is an instance method on an object of type <typeparamref name="TTarget"/>.</description></item>
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4.Create(System.Linq.Expressions.Expression{System.Func{`0,System.Func{`1,`2,`3}}})">
-             <summary>
-             Creates a <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for a generic instance method. This helper method allows the instance to be created prior to the creation of
-             any instances of the target type. The following example shows the creation of an instance representing the
-             <see cref="M:System.Object.Equals(System.Object)"/> method:
-            
-             <code>
-             FuncInstanceMethodInfo1&lt;object, object, int&gt;.Create(obj => obj.Equals)
-             </code>
-             </summary>
-             <param name="expression">The expression which creates the delegate for an instance of the target type.</param>
-             <returns>A <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for the generic instance method.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo2`4">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is an instance method on an object of type <typeparamref name="TTarget"/>.</description></item>
-             <item><description>Two generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo2`4.Create(System.Linq.Expressions.Expression{System.Func{`0,System.Func{`1,`2,`3}}})">
-             <summary>
-             Creates a <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for a generic instance method. This helper method allows the instance to be created prior to the creation of
-             any instances of the target type. The following example shows the creation of an instance representing the
-             <see cref="M:System.Object.Equals(System.Object)"/> method:
-            
-             <code>
-             FuncInstanceMethodInfo1&lt;object, object, int&gt;.Create(obj => obj.Equals)
-             </code>
-             </summary>
-             <param name="expression">The expression which creates the delegate for an instance of the target type.</param>
-             <returns>A <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for the generic instance method.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo3`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`2"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is an instance method on an object of type <typeparamref name="TTarget"/>.</description></item>
-             <item><description>Three generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="T">The type of the parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo3`3.Create(System.Linq.Expressions.Expression{System.Func{`0,System.Func{`1,`2}}})">
-             <summary>
-             Creates a <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`3"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for a generic instance method. This helper method allows the instance to be created prior to the creation of
-             any instances of the target type. The following example shows the creation of an instance representing the
-             <see cref="M:System.Object.Equals(System.Object)"/> method:
-            
-             <code>
-             FuncInstanceMethodInfo1&lt;object, object, int&gt;.Create(obj => obj.Equals)
-             </code>
-             </summary>
-             <param name="expression">The expression which creates the delegate for an instance of the target type.</param>
-             <returns>A <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`3"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for the generic instance method.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo3`4">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is an instance method on an object of type <typeparamref name="TTarget"/>.</description></item>
-             <item><description>Three generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TTarget">The type of the receiver of the instance method.</typeparam>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo3`4.Create(System.Linq.Expressions.Expression{System.Func{`0,System.Func{`1,`2,`3}}})">
-             <summary>
-             Creates a <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for a generic instance method. This helper method allows the instance to be created prior to the creation of
-             any instances of the target type. The following example shows the creation of an instance representing the
-             <see cref="M:System.Object.Equals(System.Object)"/> method:
-            
-             <code>
-             FuncInstanceMethodInfo1&lt;object, object, int&gt;.Create(obj => obj.Equals)
-             </code>
-             </summary>
-             <param name="expression">The expression which creates the delegate for an instance of the target type.</param>
-             <returns>A <see cref="T:Microsoft.ML.Internal.Utilities.FuncInstanceMethodInfo1`4"/> representing the <see cref="T:System.Reflection.MethodInfo"/>
-             for the generic instance method.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncMethodInfo1`1">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`1"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncMethodInfo1`2">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`2"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T">The type of the parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncMethodInfo1`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncMethodInfo2`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>Two generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncMethodInfo3`2">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`2"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>Three generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T">The type of the parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncMethodInfo3`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>Three generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1`1">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`1"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is static.</description></item>
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1`2">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`2"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is static.</description></item>
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T">The type of the parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo1`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is static.</description></item>
-             <item><description>One generic type argument.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo2`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is static.</description></item>
-             <item><description>Two generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo3`2">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`2"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is static.</description></item>
-             <item><description>Three generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T">The type of the parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.FuncStaticMethodInfo3`3">
-             <summary>
-             Represents the <see cref="T:System.Reflection.MethodInfo"/> for a generic function corresponding to <see cref="T:System.Func`3"/>,
-             with the following characteristics:
-            
-             <list type="bullet">
-             <item><description>The method is static.</description></item>
-             <item><description>Three generic type arguments.</description></item>
-             <item><description>A return value of <typeparamref name="TResult"/>.</description></item>
-             </list>
-             </summary>
-             <typeparam name="T1">The type of the first parameter of the method.</typeparam>
-             <typeparam name="T2">The type of the second parameter of the method.</typeparam>
-             <typeparam name="TResult">The type of the return value of the method.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.HashArray`1">
-            <summary>
-            A Hash Array that implements both val -> index lookup and index -> val lookup.
-            Also implements memory efficient sorting.
-            Note: Supports adding and looking up of items but does not support removal of items.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HashArray`1.TryGetIndex(`0,System.Int32@)">
-            <summary>
-            Find the index of the given val in the hash array.
-            Returns a bool representing if val is present.
-            Index outputs the index that the val is at in the array, -1 otherwise.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HashArray`1.Add(`0)">
-            <summary>
-            Make sure the given value has an equivalent TItem in the hashArray
-            and return the index of the value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HashArray`1.TryAdd(`0)">
-            <summary>
-            Make sure the given value has an equivalent TItem in the hashArray
-            and return the index of the value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HashArray`1.AddCore(`0,System.Int32)">
-            <summary>
-            Adds the value as a TItem. Does not check whether the TItem is already present.
-            Returns the index of the added value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HashArray`1.FillTable">
-            <summary>
-            Appropriately fills _rgnext and _rgit based on _rgt and _rghash.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HashArray`1.CopyTo(System.Span{`0})">
-            <summary>
-            Copies all items to the passed in span. Requires the passed in span to be at least the
-            same length as Count.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.CombinedHash(System.Int32,System.Object[])">
-            <summary>
-            Creates a combined hash of possibly heterogeneously typed values.
-            </summary>
-            <param name="startHash">The leading hash, incorporated into the final hash</param>
-            <param name="os">A variable list of objects, where null is a valid value</param>
-            <returns>The combined hash incorporating a starting hash, and the hash codes
-            of all input values</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.CombinedHash``1(System.Int32,``0[])">
-            <summary>
-            Creates a combined hash of multiple homogeneous typed non-null values.
-            </summary>
-            <typeparam name="T">The type of items to hash</typeparam>
-            <param name="startHash">The leading hash, incorporated into the final hash</param>
-            <param name="os">A variable list of non-null values</param>
-            <returns>The combined hash incorporating a starting hash, and the hash codes
-            of all input values</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.HashString(System.ReadOnlySpan{System.Char})">
-            <summary>
-            Hash the characters in a <see cref="T:System.ReadOnlySpan`1"/> of <see cref="T:System.Char"/>.
-            This MUST produce the same result as the other overloads (with equivalent characters).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.HashString(System.Text.StringBuilder)">
-            <summary>
-            Hash the characters in a string builder. This MUST produce the same result
-            as HashString(sb.ToString()).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.MurmurRound(System.UInt32,System.UInt32)">
-            <summary>
-            Combines the given hash value with a uint value, using the murmur hash 3 algorithm.
-            Make certain to also use <see cref="M:Microsoft.ML.Internal.Utilities.Hashing.MixHash(System.UInt32)"/> or <see cref="M:Microsoft.ML.Internal.Utilities.Hashing.MixHash(System.UInt32,System.Int32)"/> on the final hashed value,
-            if you depend upon having distinct bits.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.MurmurHash(System.UInt32,System.ReadOnlySpan{System.Char},System.Boolean)">
-            <summary>
-            Implements the murmur hash 3 algorithm, using a mock UTF-8 encoding.
-            The UTF-8 conversion ignores the possibilities of unicode planes other than the 0th.
-            That is, it simply converts char values to one, two, or three bytes according to
-            the following rules:
-            * 0x0000 to 0x007F : 0xxxxxxx
-            * 0x0080 to 0x07FF : 110xxxxx 10xxxxxx
-            * 0x0800 to 0xFFFF : 1110xxxx 10xxxxxx 10xxxxxx
-            NOTE: This MUST match the StringBuilder version below.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.MurmurHash(System.UInt32,System.Text.StringBuilder,System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Implements the murmur hash 3 algorithm, using a mock UTF-8 encoding.
-            The UTF-8 conversion ignores the possibilities of unicode planes other than the 0th.
-            That is, it simply converts char values to one, two, or three bytes according to
-            the following rules:
-            * 0x0000 to 0x007F : 0xxxxxxx
-            * 0x0080 to 0x07FF : 110xxxxx 10xxxxxx
-            * 0x0800 to 0xFFFF : 1110xxxx 10xxxxxx 10xxxxxx
-            NOTE: This MUST match the string version above.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.MurmurHash(System.UInt32,System.UInt32[],System.Int32,System.Int32)">
-            <summary>
-            Performs a MurmurRound on each int in the sequence
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Hashing.MixHash(System.UInt32)">
-            <summary>
-            The final mixing ritual for the Murmur3 hashing algorithm. Most users of
-            <see cref="M:Microsoft.ML.Internal.Utilities.Hashing.MurmurRound(System.UInt32,System.UInt32)"/> will want to close their progressive building of
-            a hash with a call to this method.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.Heap`1">
-            <summary>
-            Implements a heap.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Heap`1.#ctor(System.Func{`0,`0,System.Boolean})">
-            <summary>
-            A Heap structure gives efficient access to the ordered next element.
-            </summary>
-            <param name="fnReverse">A delegate that takes two <c>T</c> objects, and if
-            it returns true then the second object should be popped before the first</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Heap`1.#ctor(System.Func{`0,`0,System.Boolean},System.Int32)">
-            <summary>
-            A Heap structure gives efficient access to the ordered next element.
-            </summary>
-            <param name="fnReverse">A delegate that takes two <c>T</c> objects, and if
-            it returns true then the second object should be popped before the first</param>
-            <param name="capacity">The initial capacity of the heap</param>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Heap`1.FnReverse">
-            <summary> Func tests true if first element should be after the second
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Heap`1.Count">
-            <summary>
-            Current count of elements remaining in the heap
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Heap`1.Clear">
-            <summary>
-            Discard all elements currently in the heap
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Heap`1.Top">
-            <summary>
-            Peek at the first element in the heap
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Heap`1.Pop">
-            <summary>
-            Remove and return the first element in the heap
-            </summary>
-            <returns>The first element in the heap</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Heap`1.Add(`0)">
-            <summary>
-            Add a new element to the heap
-            </summary>
-            <param name="item">The item to add</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.HeapNode">
-            <summary>
-            For the heap to allow deletion, the heap node has to derive from this class.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1">
-            <summary>
-            Implements a heap.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.#ctor(System.Func{`0,`0,System.Boolean})">
-            <summary>
-            A Heap structure gives efficient access to the ordered next element.
-            </summary>
-            <param name="fnReverse">A delegate that takes two <c>T</c> objects, and if
-            it returns true then the second object should be popped before the first</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.#ctor(System.Func{`0,`0,System.Boolean},System.Int32)">
-            <summary>
-            A Heap structure gives efficient access to the ordered next element.
-            </summary>
-            <param name="fnReverse">A delegate that takes two <c>T</c> objects, and if
-            it returns true then the second object should be popped before the first</param>
-            <param name="capacity">The initial capacity of the heap</param>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.FnReverse">
-            <summary> Func tests true if first element should be after the second
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.Count">
-            <summary>
-            Current count of elements remaining in the heap
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.Clear">
-            <summary>
-            Remove all elements currently in the heap
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.Top">
-            <summary>
-            Peek at the first element in the heap
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.Pop">
-            <summary>
-            Remove and return the first element in the heap
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.Add(`0)">
-            <summary>
-            Add a new element to the heap
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HeapNode.Heap`1.Delete(`0)">
-            <summary>
-            Remove an element from the heap
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.HybridMemoryStream">
-            <summary>
-            This is a read-write stream that, at or below a length threshold given in the constructor,
-            works purely in memory, but if it ever grows larger than that point backs off to use the
-            file system. This can be useful if we have intermediate operations that require streams.
-            The temporary file will be destroyed if the object is properly disposed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HybridMemoryStream.#ctor(System.Int32)">
-            <summary>
-            Constructs an initially empty read-write stream. Once the number of
-            bytes in the stream exceeds <paramref name="maxLen"/>,
-            then we back off to disk.
-            </summary>
-            <param name="maxLen">The maximum length we will accommodate in memory</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HybridMemoryStream.CreateCache(System.IO.Stream,System.Int32)">
-            <summary>
-            A common usecase of the hybrid memory stream is to create a persistent
-            readable (not necessarily writable) copy of a stream whose source is very
-            transient and temporary. This utility method makes that creation of a copy
-            somewhat easier.
-            </summary>
-            <param name="stream">A stream that can be opened</param>
-            <param name="maxLen">The maximum length we will accommodate in memory</param>
-            <returns>A readable copy of the data stream</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.HybridMemoryStream.EnsureOverflow">
-            <summary>
-            Creates the overflow stream if it does not exist, switching all content over to
-            the file-based stream and disposing of the memory stream. If the overflow stream
-            already exists, this method has no effect.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.LineParser.AllocateFixedSizeArrayToStoreParsedValues(System.ReadOnlySpan{System.Char})">
-            <summary>
-            we count the number of values first to allocate a single array with of proper size
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.LruCache`2">
-            <summary>
-            Implements a least recently used cache.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.LruCache`2.Keys">
-            <summary>
-            Returns the keys of the items stored in the cache, sorted from the most recently used
-            to the least recently used.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.LruCache`2.#ctor(System.Int32)">
-            <summary>
-            Initializes a new LRU cache with a given size.
-            The class is not thread safe.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.LruCache`2.TryGetValue(`0,`1@)">
-            <summary>
-            Looks up and returns an item. If the item is found, mark it as recently used.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.LruCache`2.Add(`0,`1)">
-            <summary>
-            Adds a new item in the cache. It will be marked as recently used. If the cache
-            would grow over the max size, the least recently used item is removed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.MathUtils">
-            <summary>
-            Some useful math methods.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.SimpleLinearRegression(System.Single[],System.Single[],System.Single@,System.Single@)">
-            <summary>
-            Finds the best least-squares fit of y = ax + b
-            </summary>
-            <param name="x">The x values.</param>
-            <param name="y">The y values.</param>
-            <param name="a">The coefficent a.</param>
-            <param name="b">The intercept b.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Product(System.Int32[])">
-            <summary>
-            The product of elements in a
-            </summary>
-            <param name="a">an array</param>
-            <returns>the product of a's elements</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Max(System.Single[])">
-            <summary>
-            Find the max element of a
-            </summary>
-            <param name="a">an array</param>
-            <returns>the max element</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Min(System.Single[])">
-            <summary>
-            Find the minimum element of a
-            </summary>
-            <param name="a">an array</param>
-            <returns>the minimum element</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.ArgMax(System.ReadOnlySpan{System.Single})">
-            <summary>
-            Finds the first index of the max element of the span.
-            NaNs are ignored. If all the elements to consider are NaNs, -1 is
-            returned. The caller should distinguish in this case between two
-            possibilities:
-            1) The number of the element to consider is zero.
-            2) All the elements to consider are NaNs.
-            </summary>
-            <param name="a">The span of floats.</param>
-            <returns>the first index of the max element</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.ArgMin(System.ReadOnlySpan{System.Single})">
-            <summary>
-            Finds the first index of the minimum element of the span.
-            NaNs are ignored. If all the elements to consider are NaNs, -1 is
-            returned. The caller should distinguish in this case between two
-            possibilities:
-            1) The number of the element to consider is zero.
-            2) All the elements to consider are NaNs.
-            </summary>
-            <param name="a">The span of floats.</param>
-            <returns>the first index of the minimum element</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.SoftMax(System.ReadOnlySpan{System.Single})">
-            <summary>
-            computes the "softmax" function: log sum_i exp x_i
-            </summary>
-            <param name="inputs">Span of numbers to softmax</param>
-            <returns>the softmax of the numbers</returns>
-            <remarks>may have slightly lower roundoff error if inputs are sorted, smallest first</remarks>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.SoftMax(System.Single,System.Single)">
-            <summary>
-            computes "softmax" function of two arguments: log (exp x + exp y)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.AlmostEqual(System.Single,System.Single)">
-            <summary>
-            true if two float values are close (using relative comparison)
-            </summary>
-            <param name="a"></param>
-            <param name="b"></param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.LogGamma(System.Double)">
-            <summary>
-            Returns the log of the gamma function, using the Stirling approximation
-            </summary>
-            <param name="x">Argument of function</param>
-            <returns>Log Gamma(x)</returns>
-            <remarks>Accurate to eight digits for all x.</remarks>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.LogFactorial(System.Int32)">
-            <summary>
-            Computes the log factorial of n, using fast methods
-            </summary>
-            <param name="n">The number to compute the factorial of</param>
-            <returns>The log factorial of n</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.TStatisticToPValue(System.Double,System.Double)">
-            <summary>
-            Returns the two-tailed p-value given a t statistic from a distribution
-            parameterized by the provided number of degrees of freedom.
-            </summary>
-            <param name="t">The t-statistic</param>
-            <param name="df">The degrees of freedom</param>
-            <returns>The corresponding two-tailed p-value</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Lentz(Microsoft.ML.Internal.Utilities.MathUtils.Sequence,Microsoft.ML.Internal.Utilities.MathUtils.Sequence,System.Double)">
-            <summary>
-            Lentz's algorithm for evaluating the continued fraction
-            b0 + a1 / (b1 + a2 / (b2 + a3 / (b3 + a4 / ...) ) )
-            </summary>
-            <param name="a">The <c>a</c> function mapping positive integers to a sequence term</param>
-            <param name="b">The <c>b</c> function mapping non-negative integers to a sequence term</param>
-            <param name="tol">Calculate the continued fraction to this tolerance</param>
-            <returns>The evaluation of the continued fraction</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Sigmoid(System.Single)">
-            <summary>
-            The logistic sigmoid function: 1 / (1 + e^(-x)).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Tanh(System.Single)">
-            <summary>
-            Hyperbolic tangent.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.SigmoidSlow(System.Single)">
-            <summary>
-            The logistic sigmoid function: 1 / (1 + e^(-x)).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.TanhSlow(System.Single)">
-            <summary>
-            Hyperbolic tangent.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.ExpSlow(System.Single)">
-            <summary>
-            The exponential function: e^(x).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.SigmoidFast(System.Single)">
-            <summary>
-            The logistic sigmoid function: 1 / (1 + e^(-x)).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.TanhFast(System.Single)">
-            <summary>
-            The hyperbolic tangent function.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.ExpFast(System.Single)">
-            <summary>
-            The exponential function: e^(x).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.ApplySoftMax(System.Single[],System.Single[])">
-            <summary>
-            Apply a soft max on an array of floats. Note that src and dst may be the same array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.ApplySoftMax(System.Single[],System.Single[],System.Int32,System.Int32)">
-            <summary>
-            Apply a soft max on a range within an array of floats. Note that src and dst may be the same array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Entropy(System.Double,System.Boolean)">
-            <summary>
-            Entropy of a given probability
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.CrossEntropy(System.Double,System.Double,System.Boolean)">
-            <summary>
-            Cross-entropy of two distributions
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.LnSum(System.Collections.Generic.IEnumerable{System.Single})">
-            <summary>
-            Given a set of values <c>Ln(a1), Ln(a2), ... Ln(an)</c>,
-            return <c>Ln(a1+a2+...+an)</c>. This is especially useful
-            when working with log probabilities and likelihoods.
-            </summary>
-            <param name="terms"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Sin(System.Double)">
-            <summary>
-            Math.Sin returns the input value for inputs with large magnitude. We return NaN instead, for consistency
-            with Math.Sin(infinity).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.Cos(System.Double)">
-            <summary>
-            Math.Cos returns the input value for inputs with large magnitude. We return NaN instead, for consistency
-            with Math.Cos(infinity).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MathUtils.DivisionCeiling(System.Int64,System.Int64)">
-            <summary>
-            Returns the smallest integral value that is greater than or equal to the result of the division.
-            </summary>
-            <param name="numerator">Number to be divided.</param>
-            <param name="denomenator">Number with which to divide the numerator.</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MatrixTransposeOps.TransposeSingleThread``1(``0[],``0[],System.Int32,System.Int32)">
-            <summary>
-            Swap the first m*n elements within a given array so that, for any
-            non-negative i and j less than m and n respectively, dst[i*n+j] == src[j*m+i].
-            This variant of the function is single threaded, and useful in that
-            case where the workflow is otherwise single threaded.
-            </summary>
-            <typeparam name="T">Elements of the array are this type</typeparam>
-            <param name="src"></param>
-            <param name="dst">Where to write the transpose. Note that dst cannot be the same as src.</param>
-            <param name="m"></param>
-            <param name="n"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MatrixTransposeOps.Transpose``1(``0[],``0[],System.Int32,System.Int32)">
-            <summary>
-            Swap the first m*n elements within a given array so that, for any
-            non-negative i and j less than m and n respectively, dst[i*n+j] == src[j*m+i]
-            </summary>
-            <typeparam name="T">Elements of the array are this type</typeparam>
-            <param name="src">The source elements of the transpose. Must contain at least m*n elements.</param>
-            <param name="dst">Where to write the transpose. Note that dst cannot be the same as src. Must contain at least m*n elements.</param>
-            <param name="m">The major index.</param>
-            <param name="n">The minor index. Elements are currently stored in "m" blocks of "n" items.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MatrixTransposeOps.Transpose(System.Single*,System.Single*,System.Int32,System.Int32)">
-            <summary>
-            Swap the first m*n elements within a given array so that, for any
-            non-negative i and j less than m and n respectively, b[i*n+j] == a[j*m+i]
-            </summary>
-            <param name="src"></param>
-            <param name="dst">Where to write the transpose. Note that dst cannot be the same as src.</param>
-            <param name="m"></param>
-            <param name="n"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MatrixTransposeOps.Transpose(System.Double*,System.Double*,System.Int32,System.Int32)">
-            <summary>
-            Swap the first m*n elements within a given array so that, for any
-            non-negative i and j less than m and n respectively, b[i*n+j] == a[j*m+i]
-            </summary>
-            <param name="src"></param>
-            <param name="dst">Where to write the transpose. Note that dst cannot be the same as src.</param>
-            <param name="m"></param>
-            <param name="n"></param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.MinWaiter">
-             <summary>
-             A synchronization primitive meant to address situations where you have a set of
-             entities of known count, where you want to iteratively provide critical sections
-             for each depending on which comes first, but you do not necessarily know what
-             constitutes "first" until all such entities tell you where they stand in line.
-            
-             The anticipated usage is that whatever entity is using the <see cref="T:Microsoft.ML.Internal.Utilities.MinWaiter"/>
-             to synchronize itself, will register itself using <see cref="M:Microsoft.ML.Internal.Utilities.MinWaiter.Register(System.Int64)"/>
-             so as to unblock any "lower" waiters as soon as it knows what value it needs to
-             wait on, perform whatever local work it can, and when it needs to, wait on the
-             event it got when it registered itself. It may then repeat the cycle by
-             registering itself for a new event (or, finally, retiring itself through
-             <see cref="M:Microsoft.ML.Internal.Utilities.MinWaiter.Retire"/>).
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.MinWaiter.WaitStats">
-            <summary>
-            This is an event-line pair. The intended usage is, when the line
-            is the minimum at a point when all waiters have registered, the event
-            will be signaled.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MinWaiter.#ctor(System.Int32)">
-            <summary>
-            Creates a minimum waiter.
-            </summary>
-            <param name="waiters">The initial number of waiters</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MinWaiter.Register(System.Int64)">
-             <summary>
-             Indicates to the waiter that we want to, at some future point, wait at a given
-             position. This object will return a reset event that can be waited on, at the
-             point when we actually want to wait. This method itself has the potential to
-             signal other events, if by registering ourselves the waiter becomes aware of
-             the maximum number of waiters, allowing that waiter to enter its critical state.
-            
-             If multiple events are associated with the minimum value, then only one will
-             be signaled, and the rest will remain unsignaled. Which is chosen is undefined.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.MinWaiter.Retire">
-            <summary>
-            Retires one of the waiters, and return the current maximum number of waiters.
-            If it so happens that by retiring this waiter the number of waiters reaches the
-            maximum, the appropriate waiter will be signaled as described in <see cref="M:Microsoft.ML.Internal.Utilities.MinWaiter.Register(System.Int64)"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.NormStr">
-            <summary>
-            Normalized string type. For string pooling.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.NormStr.#ctor(System.ReadOnlyMemory{System.Char},System.Int32,System.UInt32)">
-            <summary>
-            NormStr's can only be created by the Pool.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.NormStr.Pool.Get(System.String,System.Boolean)">
-            <summary>
-            Find the given string in the pool. If not found, returns null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.NormStr.Pool.Add(System.String)">
-            <summary>
-            Make sure the given string has an equivalent NormStr in the pool and return it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.NormStr.Pool.Get(System.Text.StringBuilder,System.Boolean)">
-            <summary>
-            Make sure the given string has an equivalent NormStr in the pool and return it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.NormStr.Pool.Add(System.Text.StringBuilder)">
-            <summary>
-            Make sure the given string builder has an equivalent NormStr in the pool and return it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.NormStr.Pool.AddCore(System.ReadOnlyMemory{System.Char},System.UInt32)">
-            <summary>
-            Adds the item. Does NOT check for whether the item is already present.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.OrderedWaiter">
-             <summary>
-             The primary use case for this structure is to impose ordering among
-             multiple producer threads, in case one is producing output that one
-             wishes to have ordered.
-            
-             More specifically, the ordered waiter allows a thread to wait on a
-             particular position. So if three threads wait on 0, 1, then 2 (in
-             any order), the first thread to clear the wait will be 0, then 1 will
-             be cleared once incremented, then 2 will be cleared once incremented.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.OrderedWaiter.WaitStats">
-            <summary>
-            This is an event-line pair. The intended usage is, when the line
-            is hit by the containing ordered waiter, the thread will be hit.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.#ctor(System.Boolean)">
-            <summary>
-            Creates an ordered waiter.
-            </summary>
-            <param name="firstCleared">If true, then the first position (that is,
-            position 0) will be considered already free to proceed. If not something
-            will need to hit increment.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.#ctor(System.Int64)">
-            <summary>
-            Creates an ordered waiter.
-            </summary>
-            <param name="startPos">If startPos is &gt;= 0 then waiter starts from that position.
-            If not something will need to hit increment |startPos| times.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.Wait(System.Int64,System.Threading.CancellationToken)">
-            <summary>
-            Wait on a given position. This will block, until this object has
-            <see cref="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.Increment"/> called up to the position indicated. This
-            accepts cancellation tokens, but the default cancellation token also
-            works.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.Increment">
-            <summary>
-            Moves the waiter to the next position, and signals any waiters waiting at
-            or before that position.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.IncrementAll">
-            <summary>
-            Signals all waiters. No more calls to <see cref="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.Increment"/> should be
-            attempted.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.OrderedWaiter.SignalException(System.Exception)">
-            <summary>
-            This will signal all the waiters, but cause them to throw an exception.
-            </summary>
-            <param name="ex">The exception that will be the inner exception, of an
-            exception that will throw for all current and subsequent waiters.</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.PlatformUtils">
-            <summary>
-            Contains extension methods that aid in building cross platform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.IReservoirSampler`1">
-            <summary>
-            This is an interface for creating samples of a requested size from a stream of data of type <typeparamref name="T"/>.
-            The sample is created in one pass by calling <see cref="M:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.Sample"/> for every data point in the stream. Implementations should have
-            a delegate for getting the next data point, which is invoked if the current data point should go into the reservoir.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.Size">
-            <summary>
-            If the number of elements sampled is less than the reservoir size, this should return the number of elements sampled.
-            Otherwise it should return the reservoir size.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.NumSampled">
-            <summary>
-            Returns the number of elements sampled so far.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.Sample">
-            <summary>
-            Sample the next data point from the stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.Lock">
-            <summary>
-            This must be called before any calls to <see cref="M:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.GetSample"/>, and no subsequent calls to <see cref="M:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.Sample"/> can
-            be made after that.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.IReservoirSampler`1.GetSample">
-            <summary>
-            Return the elements in the sample.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithoutReplacement`1">
-            <summary>
-            This class produces a sample without replacement from a stream of data of type <typeparamref name="T"/>.
-            It is instantiated with a delegate that gets the next data point, and builds a reservoir in one pass by calling <see cref="M:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithoutReplacement`1.Sample"/>
-            for every data point in the stream. In case the next data point does not get 'picked' into the reservoir, the delegate is not invoked.
-            Sampling is done according to the algorithm in this paper: <a href="https://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.53">https://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.53</a>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithoutReplacement`1.GetSample">
-            <summary>
-            Gets the reservoir sample.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithReplacement`1">
-            <summary>
-            This class produces a sample with replacement from a stream of data of type <typeparamref name="T"/>.
-            It is instantiated with a delegate that gets the next data point, and builds a reservoir in one pass by calling <see cref="M:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithReplacement`1.Sample"/>
-            for every data point in the stream. In case the next data point does not get 'picked' into the reservoir, the delegate is not invoked.
-            Sampling is done according to the algorithm in this paper: <a href="https://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.53">https://epubs.siam.org/doi/pdf/10.1137/1.9781611972740.53</a>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithReplacement`1.GetCache">
-            <summary>
-            Returns the cache. Users should not change the elements of the returned array.
-            Access only elements up to the logical length of the array, which is <see cref="P:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithReplacement`1.Size"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ReservoirSamplerWithReplacement`1.GetSample">
-            <summary>
-            Gets a reservoir sample with replacement of the elements sampled so far. Users should not change the
-            elements returned since multiple elements in the reservoir might be pointing to the same memory.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.ResourceManagerUtils">
-            <summary>
-            This class takes care of downloading resources needed by ML.NET components. Resources are located in
-            a pre-defined location, that can be overridden by defining Environment variable <see cref="F:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.CustomResourcesUrlEnvVariable"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.MlNetResourcesUrl">
-            <summary>
-            The location of the resources to download from. Uses either the default location or a location defined
-            in an Environment variable.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.TimeoutEnvVariable">
-            <summary>
-            An environment variable containing a timeout period (in milliseconds) for downloading resources. If defined,
-            overrides the timeout defined in the code.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.CustomResourcesUrlEnvVariable">
-            <summary>
-            Environment variable containing optional url to download resources from.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.GetUrl(System.String)">
-            <summary>
-            Generates a url from a suffix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.EnsureResourceAsync(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.String,System.String,System.String,System.Int32)">
-            <summary>
-            Returns a <see cref="T:System.Threading.Tasks.Task"/> that tries to download a resource from a specified url, and returns the path to which it was
-            downloaded, and an exception if one was thrown.
-            </summary>
-            <remarks>
-            The function <see cref="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.DownloadResource(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.Net.WebClient,System.Uri,System.String,System.String,System.Threading.CancellationToken)"/> checks whether or not the absolute URL with the
-            default host "aka.ms" formed from <paramref name="relativeUrl"/> redirects to the default Microsoft homepage.
-            As such, only absolute URLs with the host "aka.ms" is supported with <see cref="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.EnsureResourceAsync(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.String,System.String,System.String,System.Int32)"/>.
-            </remarks>
-            <param name="env">The host environment.</param>
-            <param name="ch">A channel to provide information about the download.</param>
-            <param name="relativeUrl">The relative url from which to download.
-            This is appended to the url defined in <see cref="P:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.MlNetResourcesUrl"/>.</param>
-            <param name="fileName">The name of the file to save.</param>
-            <param name="dir">The directory where the file should be saved to. The file will be saved in a directory with the specified name inside
-            a folder called "mlnet-resources" in the <see cref="F:System.Environment.SpecialFolder.ApplicationData"/> directory.</param>
-            <param name="timeout">An integer indicating the number of milliseconds to wait before timing out while downloading a resource.</param>
-            <returns>The download results, containing the file path where the resources was (or should have been) downloaded to, and an error message
-            (or null if there was no error).</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.DownloadFromUrlAsync(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.String,System.String,System.Int32,System.String)">
-            <returns>Returns the error message if an error occurred, null if download was successful.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.GetFilePath(Microsoft.ML.Runtime.IChannel,System.String,System.String,System.String@)">
-            <summary>
-            Get the path where the resource should be downloaded to. If the environment variable
-            is defined, download to the location defined there. Otherwise, download to the "dir" directory
-            inside <see cref="F:System.Environment.SpecialFolder.LocalApplicationData"/>\mlnet-resources\.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ResourceManagerUtils.IsRedirectToDefaultPage(System.String)">
-            <summary>This method checks whether or not the provided aka.ms url redirects to
-            Microsoft's homepage, as the default faulty aka.ms URLs redirect to https://www.microsoft.com/?ref=aka .</summary>
-            <param name="url"> The provided url to check </param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.Stats">
-            <summary>
-            A class containing common statistical functions
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleLong(System.Int64,System.Random)">
-            <summary>
-            Returns a number uniformly sampled from 0...(rangeSize-1)
-            </summary>
-            <param name="rangeSize">Size of range to sample from, between 0 and int.MaxValue^2</param>
-            <param name="rand">Random number generator</param>
-            <returns>Sampled value</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleFromGaussian(System.Random)">
-            <summary>
-            Returns a number sampled from a zero-mean, unit variance Gaussian
-            </summary>
-            <param name="rand">A Random to use for the sampling</param>
-            <returns>a sample</returns>
-            <remarks>uses Joseph L. Leva's algorithm from "A fast normal random number generator", 1992</remarks>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleFromGamma(System.Random,System.Double)">
-            <summary>
-            Returns a sample from the gamma distribution with scale parameter 1, shape parameter alpha
-            </summary>
-            <param name="alpha">Shape parameter</param>
-            <param name="r">The random number generator to use</param>
-            <returns>Sample from gamma distribution</returns>
-            <remarks>Uses Marsaglia and Tsang's fast algorithm</remarks>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleFromBeta(System.Random,System.Double,System.Double)">
-            <summary>
-            Generates a beta-distributed random variable
-            </summary>
-            <param name="rand">Random generator to use</param>
-            <param name="alpha1">first parameter</param>
-            <param name="alpha2">second parameter</param>
-            <returns>Sample from distribution</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleFromDirichlet(System.Random,System.Double[],System.Double[])">
-            <summary>
-            Generates a dirichlet-distributed random variable
-            </summary>
-            <param name="rand">Random generator to use</param>
-            <param name="alphas">array of parameters</param>
-            <param name="result">array in which to store resulting sample</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleFromCauchy(System.Random)">
-            <summary>
-            Sample from a standard Cauchy distribution:
-            https://en.wikipedia.org/wiki/Lorentzian_function
-            </summary>
-            <param name="rand"></param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Stats.SampleFromBinomial(System.Random,System.Int32,System.Double)">
-            <summary>
-            Returns a number sampled from the binomial distribution with parameters n and p
-            </summary>
-            <param name="r">Random generator to use</param>
-            <param name="n">Parameter N of binomial</param>
-            <param name="p">Parameter p of binomial</param>
-            <returns></returns>
-            <remarks>Should be robust for all values of n, p</remarks>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.SubsetStream">
-            <summary>
-            Returns a "view" stream, which appears to be a possibly truncated
-            version of the stream. Reads on this containing stream will also
-            advance the wrapped stream. If truncated, reads will not progress
-            beyond the indicated length, and writes will fail beyond the
-            indicated length. This stream supports seeking (and associated
-            operations) if the underlying stream supports seeking, where it is
-            supposed that the returned <c>SubsetStream</c> instance has position
-            0 during creation, corresponding to whatever the position of the
-            enclosed stream was during creation, so this stream will act as an
-            "offset" version of the enclosed stream. As this is intended to
-            operate over a subset of a stream, during closing or disposal of the
-            subset stream, the underlying stream will always remain open and
-            undisposed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SubsetStream.#ctor(System.IO.Stream,System.Nullable{System.Int64})">
-            <summary>
-            Construct the view stream.
-            </summary>
-            <param name="stream">The underlying stream</param>
-            <param name="length">The maximum length this containing
-            stream should appear to have, or null if unbounded</param>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.RawCount">
-            <summary>
-            The running (unweighted) count of elements added to this object.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.Count">
-            <summary>
-            The running (weighted) count of elements.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.NonzeroCount">
-            <summary>
-            The running count of non-zero elements.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.NonzeroWeight">
-            <summary>
-            The running weight of non-zero elements.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.Mean">
-            <summary>
-            The running arithmetic mean.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.SampleVariance">
-            <summary>
-            Thes sample variance.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.SampleStdDev">
-            <summary>
-             The sample standard deviation.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.StandardErrorMean">
-            <summary>
-            Returns the standard error of the mean.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.Max">
-            <summary>
-            The maximum.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.Min">
-            <summary>
-            The minimum.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.Add(System.Double,System.Double,System.Int64)">
-            <summary>
-            Accumulates one more value, optionally weighted.
-            This accumulation procedure is based on the following,
-            with adjustments as appropriate for weighted instances:
-            https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
-            </summary>
-            <param name="v">The value</param>
-            <param name="w">The weight given to this value</param>
-            <param name="c">Amount of appearance of this value</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SummaryStatisticsBase.Add(Microsoft.ML.Internal.Utilities.SummaryStatisticsBase)">
-            <summary>
-            Adds a stats object with another type of stats object. The result
-            should be equivalent, up to the effects of numerical imprecision,
-            as if in addition to all the values this object has seen, it has
-            also seen the values added to the other object.
-            </summary>
-            <param name="s"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SummaryStatisticsUpToSecondOrderMoments.op_Addition(Microsoft.ML.Internal.Utilities.SummaryStatisticsUpToSecondOrderMoments,Microsoft.ML.Internal.Utilities.SummaryStatisticsUpToSecondOrderMoments)">
-            <summary>
-            A convenient way to combine the observations of two Stats objects
-            into a new Stats object.
-            </summary>
-            <param name="a">The first operand</param>
-            <param name="b">The second operand</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.SummaryStatistics">
-            <summary>
-            A class for one-pass accumulation of weighted summary statistics, up
-            to the fourth moment. The accumulative algorithms used here may be
-            reviewed at
-            https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
-            All quantities are weighted, except for <c>RawCount</c>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatistics.Nonzero">
-            <summary>
-            The running count of non-zero elements.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatistics.Skewness">
-            <summary>
-            The sample skewness.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatistics.Kurtosis">
-            <summary>
-            The sample kurtosis.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatistics.SkewnessZ">
-            <summary>
-            Z-test value for a normality test based on the skew.
-            Under the null hypothesis of normality this quantity will
-            itself be approximately normally distributed.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatistics.KurtosisZ">
-            <summary>
-            Z-test value for a normality test based on the kurtosis.
-            Under the null hypothesis of normality this quantity will
-            itself be approximately normally distributed.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.SummaryStatistics.OmnibusK2">
-             <summary>
-             Omnibus K2 unifying the skew and kurtosis Z-tests. Under the
-             null hypothesis of normality this quantity will be approximately
-             chi-squared distributed.
-            
-             D'Agostino, Ralph B.; Albert Belanger; Ralph B. D'Agostino, Jr (1990). "A suggestion
-             for using powerful and informative tests of normality". The American Statistician 44
-             (4): 316–321. JSTOR 2684359.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SummaryStatistics.Add(System.Double,System.Double,System.Int64)">
-            <summary>
-            Accumulates one more value, optionally weighted.
-            This accumulation procedure is based on the following,
-            with adjustments as appropriate for weighted instances:
-            https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance
-            </summary>
-            <param name="v">The value</param>
-            <param name="w">The weight given to this value</param>
-            <param name="c">Amount of appearance of this value</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SummaryStatistics.Add(Microsoft.ML.Internal.Utilities.SummaryStatistics)">
-            <summary>
-            Adds a stats object with another type of stats object. The result
-            should be equivalent, up to the effects of numerical imprecision,
-            as if in addition to all the values this object has seen, it has
-            also seen the values added to the other object.
-            </summary>
-            <param name="s"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SummaryStatistics.op_Addition(Microsoft.ML.Internal.Utilities.SummaryStatistics,Microsoft.ML.Internal.Utilities.SummaryStatistics)">
-            <summary>
-            A convenient way to combine the observations of two Stats objects
-            into a new Stats object.
-            </summary>
-            <param name="a">The first operand</param>
-            <param name="b">The second operand</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.SupervisedBinFinder">
-             <summary>
-             This class performs discretization of (value, label) pairs into bins in a way that minimizes
-             the target function "minimum description length".
-             The algorithm is outlined in an article
-             "Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning"
-             [Fayyad, Usama M.; Irani, Keki B. (1993)] https://ijcai.org/Past%20Proceedings/IJCAI-93-VOL2/PDF/022.pdf
-            
-             The class can be used several times sequentially, it is stateful and not thread-safe.
-             Both Single and Double precision processing is implemented, and is identical.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SupervisedBinFinder.FindBins(System.Int32,System.Int32,System.Int32,System.Collections.Generic.IList{System.Single},System.Collections.Generic.IList{System.Int32})">
-            <summary>
-            Finds the bins for Single values (and integer labels)
-            </summary>
-            <param name="maxBins">Maximum number of bins</param>
-            <param name="minBinSize">Minimum number of values per bin (stopping condition for greedy bin splitting)</param>
-            <param name="nLabels">Cardinality of the labels</param>
-            <param name="values">The feature values</param>
-            <param name="labels">The corresponding label values</param>
-            <returns>An array of split points, no more than <paramref name="maxBins"/> total (but maybe less), ending with PositiveInfinity</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SupervisedBinFinder.FindBins(System.Int32,System.Int32,System.Int32,System.Collections.Generic.IList{System.Double},System.Collections.Generic.IList{System.Int32})">
-            <summary>
-            Finds the bins for Double values (and integer labels)
-            </summary>
-            <param name="maxBins">Maximum number of bins</param>
-            <param name="minBinSize">Minimum number of values per bin (stopping condition for greedy bin splitting)</param>
-            <param name="nLabels">Cardinality of the labels</param>
-            <param name="values">The feature values</param>
-            <param name="labels">The corresponding label values</param>
-            <returns>An array of split points, no more than <paramref name="maxBins"/> total (but maybe less), ending with PositiveInfinity</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SupervisedBinFinder.GetEntropy(System.Int32,System.Int32,System.Int32@)">
-            <summary>
-            Calculate the entropy and label cardinality for a given interval within the data
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SupervisedBinFinder.FindBinsCore">
-            <summary>
-            Finds the optimum bins with respect to <see cref="F:Microsoft.ML.Internal.Utilities.SupervisedBinFinder._cumulativeCounts"/>
-            </summary>
-            <returns>The sorted array of indices that are exclusive upper bounds of the respective bins</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.TextReaderStream">
-            <summary>
-            A readable <see cref="T:System.IO.Stream"/> that is backed by a <see cref="T:System.IO.TextReader"/>.
-            Because text readers strip line breaks from the end of their lines, this
-            compensates by inserting <c>\n</c> line feed characters at the end of every
-            input line, including the last one.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.TextReaderStream.#ctor(System.IO.TextReader)">
-            <summary>
-            Create a stream wrapping the given text reader, using the <see cref="P:System.Text.Encoding.UTF8"/>
-            encoding.
-            </summary>
-            <param name="baseReader">the reader to wrap</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.TextReaderStream.#ctor(System.IO.TextReader,System.Text.Encoding)">
-            <summary>
-            Create a stream wrapping the given text reader, using the given encoding. The class
-            assumes that the encoding is distributive, that is, the concatenation of the byte
-            encodings of different strings, is a valid byte encoding of the single encoding of
-            the concatenation of those strings. (I believe all standard encodings obey this
-            property.)
-            </summary>
-            <param name="baseReader">The reader to wrap.</param>
-            <param name="encoding">The encoding to use.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.TextReaderStream.EnsureBytes">
-            <summary>
-            A helper method that will either ensure that <see cref="F:Microsoft.ML.Internal.Utilities.TextReaderStream._buffCur"/> is less
-            than <see cref="F:Microsoft.ML.Internal.Utilities.TextReaderStream._buffLim"/> (so there are at least some characters), or that
-            <see cref="F:Microsoft.ML.Internal.Utilities.TextReaderStream._eof"/> is set.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.ExceptionMarshaller">
-            <summary>
-            An object that serves as a source of a cancellation token, as well as having the ability
-            for anything to push an exception into the message, to trigger the cancellation. The general
-            intended usage is that, prior to creating a bunch of collaborating thread workers, this
-            object is created and made accessible to them, somehow. Each thread worker will work as they
-            would be engineered without this class, except they will wrap their contents in a try-catch
-            block to push any exceptions (hopefully none) into this marshaller, using <see cref="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Set(System.String,System.Exception)"/>.
-            Further, any potentially blocking operation of the thread workers must be changed to use
-            <see cref="P:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Token"/> as the cancellation token (this token is canceled iff <see cref="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Set(System.String,System.Exception)"/>
-            is ever called). The controlling thread, whatever that may be, once it is either sure
-            <see cref="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Set(System.String,System.Exception)"/> has been called (possibly by receiving the cancellation) or is sure somehow
-            that the workers have finished by its own means, will call <see cref="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.ThrowIfSet(Microsoft.ML.Runtime.IExceptionContext)"/> to throw
-            the set exception as an inner exception, in the wrapping thread.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Token">
-            <summary>
-            A cancellation token, whose source will be canceled if <see cref="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Set(System.String,System.Exception)"/> is ever called.
-            Any thread blocking operation of a family of thread workers using this structure
-            must use this cancellation token, or else there is a strong possibility for threads
-            to stop responding if an exception is thrown at any point.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Set(System.String,System.Exception)">
-            <summary>
-            Store an exception and set the cancellation token. If this was already
-            called, this newly passed in exception is ignored. (Important, since a
-            common source of exceptions would be the exceptions relating to the cancellation.)
-            </summary>
-            <param name="component">The type of worker that threw the exception, used
-            in the description of the wrapping exception</param>
-            <param name="ex">The exception that will become the inner exception</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.ThrowIfSet(Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            If an exception was ever set through <see cref="M:Microsoft.ML.Internal.Utilities.ExceptionMarshaller.Set(System.String,System.Exception)"/>, raise it as an appropriate
-            inner exception. This should only be called just prior to dispose, when the workers
-            have already finished. If there is no stored exception, this will do nothing. Note
-            that this does not "expire" the exception, that is, if you were to call this again,
-            it would throw the same exception.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.Tree`2">
-            <summary>
-            The tree structure is simultaneously a tree, and a node in a tree. The interface to
-            get children occurs through the tree itself implementing itself as a dictionary. This
-            tree is not terribly efficient, and is meant to be accommodate additions, deletions,
-            and change of values. Because it is implemented as a dictionary, there is an unfortunate
-            collision in naming between the dictionary type of "values" (which in this case are
-            child trees) and the tree type of values, called "node values."
-            </summary>
-            <typeparam name="TKey">Children are keyed with values of this type</typeparam>
-            <typeparam name="TValue">The type of the node value</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Tree`2.NodeValue">
-            <summary>
-            Either the node value, or the default of the value type,
-            if <see cref="P:Microsoft.ML.Internal.Utilities.Tree`2.HasNodeValue"/> is false.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Tree`2.Key">
-            <summary>
-            This is the key for this child node in its parent, if any. If this is not
-            a child of any parent, that is, it is the root of its own tree, then
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Tree`2.Parent">
-            <summary>
-            The parent for this tree, or <c>null</c> if it has no parent.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Tree`2.Keys">
-            <summary>
-            All child keys for this node.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Tree`2.Values">
-            <summary>
-            All children for this node.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Utilities.Tree`2.Count">
-            <summary>
-            The number of children with this node as a parent.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.#ctor">
-            <summary>
-            Initializes a tree with no node value, and no children.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.TryGetValue(`0,Microsoft.ML.Internal.Utilities.Tree{`0,`1}@)">
-            <summary>
-            Tries to get the subtree for a child key.
-            </summary>
-            <param name="key">The key of the child to find</param>
-            <param name="value">The child, if any, or <c>null</c> if no child
-            with this key is present</param>
-            <returns>Whether a child with this key was present</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.ContainsKey(`0)">
-            <summary>
-            Sees whether a child with a given key is present.
-            </summary>
-            <param name="key">The key of the child to find</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.Add(System.Collections.Generic.KeyValuePair{`0,Microsoft.ML.Internal.Utilities.Tree{`0,`1}})">
-            <summary>
-            Adds a new child to this dictionary.
-            </summary>
-            <param name="item">The key / child node pair to add</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.Add(`0,Microsoft.ML.Internal.Utilities.Tree{`0,`1})">
-            <summary>
-            Adds a node as a child of this node. This will disconnect the
-            </summary>
-            <param name="key"></param>
-            <param name="newChild"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.Detach">
-            <summary>
-            Removes this node and all its descendants from a tree, leading it to
-            be the root of its own tree. Following this, <see cref="P:Microsoft.ML.Internal.Utilities.Tree`2.Parent"/> will
-            be <c>null</c>, and the previous parent (if any) will no longer have
-            this node present as a child.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.Tree`2.Remove(`0)">
-            <summary>
-            Remove a child with a specified key.
-            </summary>
-            <param name="key">The key of the child to remove</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.VBufferUtils">
-            <summary>
-            Convenience utilities for vector operations on <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ForEachDefined``1(Microsoft.ML.Data.VBuffer{``0}@,System.Action{System.Int32,``0})">
-            <summary>
-            Applies <paramref name="visitor"/> to every explicitly defined element of the vector,
-            in order of index.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ForEachBothDefined``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``0}@,System.Action{System.Int32,``0,``0})">
-            <summary>
-            Applies the <paramref name="visitor "/>to each corresponding pair of elements
-            where the item is implicitly defined in the vector. By explicitly defined,
-            we mean that for a given index <c>i</c>, both vectors have an entry in
-            <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/> corresponding to that index.
-            </summary>
-            <param name="a">The first vector</param>
-            <param name="b">The second vector</param>
-            <param name="visitor">Delegate to apply to each pair of non-zero values.
-            This is passed the index, and two values</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ForEachEitherDefined``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``0}@,System.Action{System.Int32,``0,``0})">
-            <summary>
-            Applies the ParallelVisitor to each corresponding pair of elements where at least one is non-zero, in order of index.
-            </summary>
-            <param name="a">a vector</param>
-            <param name="b">another vector</param>
-            <param name="visitor">Function to apply to each pair of non-zero values - passed the index, and two values</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.Clear``1(Microsoft.ML.Data.VBuffer{``0}@)">
-            <summary>
-            Sets all values in the vector to the default value for the type, without changing the
-            density or index structure of the input array. That is to say, the count of the input
-            vector will be the same afterwards as it was before.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.VBufferUtils.SlotValueManipulator`1">
-            <summary>
-            A delegate for functions that can change a value.
-            </summary>
-            <param name="slot">Index of entry</param>
-            <param name="value">Value to change</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.VBufferUtils.ValuePredicate`1">
-            <summary>
-            A predicate on some sort of value.
-            </summary>
-            <param name="src">The value to test</param>
-            <returns>The result of some sort of test from that value</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.Apply``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Internal.Utilities.VBufferUtils.SlotValueManipulator{``0})">
-            <summary>
-            Applies the <paramref name="manip"/> to every explicitly defined
-            element of the vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyAt``1(Microsoft.ML.Data.VBuffer{``0}@,System.Int32,Microsoft.ML.Internal.Utilities.VBufferUtils.SlotValueManipulator{``0},Microsoft.ML.Internal.Utilities.VBufferUtils.ValuePredicate{``0})">
-            <summary>
-            Applies some function on a value at a particular slot value, changing that slot value.
-            This function will, wherever possible, not change the structure of <paramref name="dst"/>.
-            If the vector is sparse, and the corresponding slot is not explicitly represented,
-            then this can involve memory copying and possibly memory reallocation on <paramref name="dst"/>.
-            However, if the item is explicitly represented, even if the item is set to the default
-            value of <typeparamref name="T"/> it will not change the structure of <paramref name="dst"/>,
-            in terms of sparsifying a dense array, or dropping indices.
-            </summary>
-            <param name="dst">The vector to modify</param>
-            <param name="slot">The slot of the vector to modify</param>
-            <param name="manip">The manipulation function</param>
-            <param name="pred">A predicate that returns true if we should skip insertion of a value into
-            sparse vector if it was default. If the predicate is null, we insert any non-default.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.Densify``1(Microsoft.ML.Data.VBuffer{``0}@)">
-            <summary>
-            Given a vector, turns it into an equivalent dense representation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.DensifyFirst``1(Microsoft.ML.Data.VBuffer{``0}@,System.Int32)">
-            <summary>
-            Given a vector, ensure that the first <paramref name="denseCount"/> slots are explicitly
-            represented.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.CreateMaybeSparseCopy``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.InPredicate{``0},System.Single)">
-            <summary>
-            Creates a maybe sparse copy of a VBuffer.
-            Whether the created copy is sparse or not is determined by the proportion of non-default entries compared to the sparsity parameter.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator`2">
-            <summary>
-            A delegate for functions that access an index and two corresponding
-            values, possibly changing one of them.
-            </summary>
-            <param name="slot">Slot index of the entry.</param>
-            <param name="src">Value from first vector.</param>
-            <param name="dst">Value from second vector, which may be manipulated.</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulatorCopy`2">
-            <summary>
-            A delegate for functions that access an index and two corresponding
-            values, stores the result in another vector.
-            </summary>
-            <param name="slot">Slot index of the entry.</param>
-            <param name="src">Value from first vector.</param>
-            <param name="dst">Value from second vector.</param>
-            <param name="res">The value to store the result.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWith``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})">
-            <summary>
-            Applies the <see cref="T:Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator`2"/> to each pair of elements
-            where <paramref name="src"/> is defined, in order of index. If there is
-            some value at an index in <paramref name="dst"/> that is not defined in
-            <paramref name="src"/>, that item remains without any further modification.
-            If either of the vectors are dense, the resulting <paramref name="dst"/>
-            will be dense. Otherwise, if both are sparse, the output will be sparse iff
-            there is any slot that is not explicitly represented in either vector.
-            </summary>
-            <param name="src">Argument vector, whose elements are only read</param>
-            <param name="dst">Argument vector, that could change</param>
-            <param name="manip">Function to apply to each pair of elements</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithCopy``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulatorCopy{``0,``1})">
-            <summary>
-            Applies the <see cref="T:Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator`2"/> to each pair of elements
-            where <paramref name="src"/> is defined, in order of index. It stores the result
-            in another vector. If there is some value at an index in <paramref name="dst"/>
-            that is not defined in <paramref name="src"/>, that slot value is copied to the
-            corresponding slot in the result vector without any further modification.
-            If either of the vectors are dense, the resulting <paramref name="res"/>
-            will be dense. Otherwise, if both are sparse, the output will be sparse iff
-            there is any slot that is not explicitly represented in either vector.
-            </summary>
-            <param name="src">Argument vector, whose elements are only read</param>
-            <param name="dst">Argument vector, whose elements are read in most cases. But in some
-            cases <paramref name="dst"/> may be densified.</param>
-            <param name="res">Result vector</param>
-            <param name="manip">Function to apply to each pair of elements</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithEitherDefined``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})">
-            <summary>
-            Applies the <see cref="T:Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator`2"/> to each pair of elements
-            where either <paramref name="src"/> or <paramref name="dst"/>, has an element
-            defined at that index. If either of the vectors are dense, the resulting
-            <paramref name="dst"/> will be dense. Otherwise, if both are sparse, the output
-            will be sparse iff there is any slot that is not explicitly represented in
-            either vector.
-            </summary>
-            <param name="src">Argument vector, whose elements are only read</param>
-            <param name="dst">Argument vector, that could change</param>
-            <param name="manip">Function to apply to each pair of elements</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithEitherDefinedCopy``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulatorCopy{``0,``1})">
-            <summary>
-            Applies the <see cref="T:Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator`2"/> to each pair of elements
-            where either <paramref name="src"/> or <paramref name="dst"/>, has an element
-            defined at that index. It stores the result in another vector <paramref name="res"/>.
-            If either of the vectors are dense, the resulting <paramref name="res"/>
-            will be dense. Otherwise, if both are sparse, the output will be sparse iff
-            there is any slot that is not explicitly represented in either vector.
-            </summary>
-            <param name="src">Argument vector, whose elements are only read</param>
-            <param name="dst">Argument vector, whose elements are read in most cases. But in some
-            cases <paramref name="dst"/> may be densified.</param>
-            <param name="res">Result vector</param>
-            <param name="manip">Function to apply to each pair of elements</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithCore``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1},System.Boolean)">
-            <summary>
-            The actual implementation of <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWith``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})"/> and
-            <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithEitherDefined``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})"/>, that has internal branches on the implementation
-            where necessary depending on whether this is an inner or outer join of the
-            indices of <paramref name="src"/> on <paramref name="dst"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithCoreCopy``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulatorCopy{``0,``1},System.Boolean)">
-            <summary>
-            The actual implementation of <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithCopy``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulatorCopy{``0,``1})"/> and
-            <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithEitherDefinedCopy``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulatorCopy{``0,``1})"/>, that has internal branches on the implementation
-            where necessary depending on whether this is an inner or outer join of the
-            indices of <paramref name="src"/> on <paramref name="dst"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyIntoEitherDefined``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,System.Func{System.Int32,``0,``1})">
-            <summary>
-            Applies a function to explicitly defined elements in a vector <paramref name="src"/>,
-            storing the result in <paramref name="dst"/>, overwriting any of its existing contents.
-            The contents of <paramref name="dst"/> do not affect calculation. If you instead wish
-            to calculate a function that reads and writes <paramref name="dst"/>, see
-            <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWith``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})"/> and <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithEitherDefined``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})"/>. Post-operation,
-            <paramref name="dst"/> will be dense iff <paramref name="src"/> is dense.
-            </summary>
-            <seealso cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWith``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})"/>
-            <seealso cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyWithEitherDefined``2(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Internal.Utilities.VBufferUtils.PairManipulator{``0,``1})"/>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyInto``3(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``2}@,System.Func{System.Int32,``0,``1,``2})">
-            <summary>
-            Applies a function <paramref name="func"/> to two vectors, storing the result in
-            <paramref name="dst"/>, whose existing contents are discarded and overwritten. The
-            function is called for every index value that appears in either <paramref name="a"/>
-            or <paramref name="b"/>. If either of the two inputs is dense, the output will
-            necessarily be dense. Otherwise, if both are sparse, the output will be sparse iff
-            there is any slot that is not explicitly represented in either vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.Copy``1(System.Collections.Generic.List{``0},Microsoft.ML.Data.VBuffer{``0}@,System.Int32)">
-            <summary>
-            Copy from a source list to the given VBuffer destination.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.VBufferUtils.Resize``1(Microsoft.ML.Data.VBuffer{``0}@,System.Int32,System.Nullable{System.Int32})">
-            <summary>
-            Updates the logical length and number of physical values to be represented in
-            <paramref name="dst"/>, while preserving the underlying buffers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TauswortheHybrid">
-            <summary>
-            Tausworthe hybrid random number generator.
-            </summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.CpuMath.dll b/W/Debug_Folder/Microsoft.ML.CpuMath.dll
deleted file mode 100644
index 7691103d7..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.CpuMath.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.CpuMath.xml b/W/Debug_Folder/Microsoft.ML.CpuMath.xml
deleted file mode 100644
index 4602e0a62..000000000
--- a/W/Debug_Folder/Microsoft.ML.CpuMath.xml
+++ /dev/null
@@ -1,686 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.CpuMath</name>
-    </assembly>
-    <members>
-        <member name="T:Microsoft.ML.Internal.CpuMath.AlignedArray">
-             <summary>
-             This implements a logical array of floats that is automatically aligned for SSE/AVX operations.
-             To pin and force alignment, call the GetPin method, typically wrapped in a using (since it
-             returns a Pin struct that is IDisposable). From the pin, you can get the IntPtr to pass to
-             native code.
-            
-             The ctor takes an alignment value, which must be a power of two at least sizeof(float).
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.AlignedArray.#ctor(System.Int32,System.Int32)">
-            <summary>
-            Allocate an aligned vector with the given alignment (in bytes).
-            The alignment must be a power of two and at least sizeof(Float).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.CpuAlignedVector">
-            <summary>
-            This implements a logical array of Floats that is automatically aligned for SSE/AVX operations.
-            This is a thin wrapper around the AlignedArray type implemented in C++. This simply couples
-            the AlignedArray with a logical size, which does not include padding, while the AlignedArray
-            size does include padding.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.ValueCount">
-            <summary>
-            The value count.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.VectorSize">
-            <summary>
-            The logical size of the vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.#ctor(System.Int32,System.Int32)">
-            <summary>
-            Allocate an aligned vector with the given alignment (in bytes).
-            The alignment must be a power of two and at least sizeof(Float).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.Items">
-            <summary>
-            The physical AligenedArray items.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.CbAlign">
-            <summary>
-            The alignment.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.Item(System.Int32)">
-            <summary>
-            Set and get the value of the vector at the given index.
-            </summary>
-            <param name="index">The index</param>
-            <returns>The value at the given index</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.GetValue(System.Int32)">
-            <summary>
-            Get the value of the vector at the given index.
-            </summary>
-            <param name="i">The index</param>
-            <returns>The value at the given index</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.Randomize(System.Func{System.Single})">
-            <summary>
-            Assign randomized values to the vector elements via the input function.
-            </summary>
-            <param name="rand">The input rand om function that takes no arguments and returns a float value</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.Zero">
-            <summary>
-            Assign zeros to the vector elements.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.CopyTo(System.Single[],System.Int32@)">
-            <summary>
-            Copy the values into dst, starting at slot ivDst and advancing ivDst.
-            </summary>
-            <param name="dst">The destination array</param>
-            <param name="ivDst">The starting index in the destination array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.CopyTo(System.Int32,System.Single[],System.Int32,System.Int32)">
-            <summary>
-            Copy the values from this vector starting at slot ivSrc into dst, starting at slot ivDst.
-            The number of values that are copied is determined by count.
-            </summary>
-            <param name="ivSrc">The staring index in this vector</param>
-            <param name="dst">The destination array</param>
-            <param name="ivDst">The starting index in the destination array</param>
-            <param name="count">The number of elements to be copied</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.CopyFrom(System.Single[],System.Int32@)">
-            <summary>
-            Copy the values from src, starting at slot index and advancing index, into this vector.
-            </summary>
-            <param name="src">The source array</param>
-            <param name="index">The starting index in the source array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.CopyFrom(System.Int32,System.Single[],System.Int32,System.Int32)">
-            <summary>
-            Copy the values from src, starting at slot index and advancing index, into this vector, starting at slot ivDst.
-            The number of values that are copied is determined by count.
-            </summary>
-            <param name="ivDst">The staring index in this vector</param>
-            <param name="src">The source array</param>
-            <param name="ivSrc">The starting index in the source array</param>
-            <param name="count">The number of elements to be copied</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.CopyFrom(Microsoft.ML.Internal.CpuMath.CpuAlignedVector)">
-            <summary>
-            Copy the values of src vector into this vector. The src vector must have the same size as this vector.
-            </summary>
-            <param name="src">The source vector</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedVector.GetEnumerator">
-            <summary>
-            Get the underlying AlignedArray as IEnumerator&lt;Float&gt;.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase">
-            <summary>
-            This implements a logical matrix of Floats that is automatically aligned for SSE/AVX operations.
-            The ctor takes an alignment value, which must be a power of two at least sizeof(Float).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.ValueCount">
-            <summary>
-            The logical number values in the matrix
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.RowCount">
-            <summary>
-            The logical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.ColCount">
-            <summary>
-            The logical number of columns
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.RowCountPhy">
-            <summary>
-            The physical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.ColCountPhy">
-            <summary>
-            The physical number of columns
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.#ctor(System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Allocate an aligned matrix with the given alignment (in bytes).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.Randomize(System.Func{System.Single})">
-            <summary>
-            Assign randomized values to the matrix elements via the input function.
-            </summary>
-            <param name="rand">The input rand om function that takes no arguments and returns a float value</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.Zero">
-            <summary>
-            Assign zeros to the matrix elements.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase.CopyFrom(Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixBase)">
-            <summary>
-            Copy the values of src matrix into this matrix. The src matrix must have the same physical and logical size as this matrix.
-            </summary>
-            <param name="src">The source matrix</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase">
-            <summary>
-            This implements a logical row-major matrix of Floats that is automatically aligned for SSE/AVX operations.
-            The ctor takes an alignment value, which must be a power of two at least sizeof(Float).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.RowCount">
-            <summary>
-            The logical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.ColCount">
-            <summary>
-            The logical number of columns
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.RowCountPhy">
-            <summary>
-            The physical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.ColCountPhy">
-            <summary>
-            The physical number of columns
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.CopyTo(System.Single[],System.Int32@)">
-            <summary>
-            Copy the values into dst, starting at slot ivDst and advancing ivDst.
-            </summary>
-            <param name="dst">The destination array</param>
-            <param name="ivDst">The starting index in the destination array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.CopyFrom(System.Single[],System.Int32@)">
-            <summary>
-            Copy the values from src, starting at slot ivSrc and advancing ivSrc.
-            </summary>
-            <param name="src">The source array</param>
-            <param name="ivSrc">The starting index in the source array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRowBase.GetEnumerator">
-            <summary>
-            Get the underlying AlignedArray as IEnumerator&lt;Float&gt;.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow">
-            <summary>
-            This implements a row-major matrix of Floats that is automatically aligned for SSE/AVX operations.
-            The ctor takes an alignment value, which must be a power of two at least sizeof(Float).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow.RowCount">
-            <summary>
-            The logical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow.ColCount">
-            <summary>
-            The logical number of columns
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow.RowCountPhy">
-            <summary>
-            The physical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow.ColCountPhy">
-            <summary>
-            The physical number of columns
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow.CopyTo(System.Int32,System.Single[],System.Int32@)">
-            <summary>
-            Copy the values from this matrix, starting from the row into dst, starting at slot ivDst and advancing ivDst.
-            </summary>
-            <param name="row">The starting row in this matrix</param>
-            <param name="dst">The destination array</param>
-            <param name="ivDst">The starting index in the destination array</param>
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-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixRow.ZeroItems(System.Int32[])">
-            <summary>
-            Assign zeros to the values at the indices
-            </summary>
-            <param name="indices">The indices</param>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol">
-            <summary>
-            This implements a logical matrix of Floats that is automatically aligned for SSE/AVX operations.
-            The ctor takes an alignment value, which must be a power of two at least sizeof(Float).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.#ctor(System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Allocate an aligned matrix with the given alignment (in bytes).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.RowCount">
-            <summary>
-            The logical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.ColCount">
-            <summary>
-            The logical number of columns
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.RowCountPhy">
-            <summary>
-            The physical number of rows
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.ColCountPhy">
-            <summary>
-            The physical number of columns
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.CopyTo(System.Single[],System.Int32@)">
-            <summary>
-            Copy the values into dst, starting at slot ivDst and advancing ivDst.
-            </summary>
-            <param name="dst">The destination array</param>
-            <param name="ivDst">The starting index in the destination array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.CopyTo(System.Int32,System.Single[],System.Int32@)">
-            <summary>
-            Copy the values from this matrix, starting from the row into dst, starting at slot ivDst and advancing ivDst.
-            </summary>
-            <param name="row">The starting row in this matrix</param>
-            <param name="dst">The destination array</param>
-            <param name="ivDst">The starting index in the destination array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.CopyFrom(System.Single[],System.Int32@)">
-            <summary>
-            Copy the values from src, starting at slot ivSrc and advancing ivSrc.
-            </summary>
-            <param name="src">The source array</param>
-            <param name="ivSrc">The starting index in the source array</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.ZeroItems(System.Int32[])">
-            <summary>
-            Assign zeros to the values at the indices
-            </summary>
-            <param name="indices">The indices</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAlignedMatrixCol.GetEnumerator">
-            <summary>
-            Get the underlying AlignedArray as IEnumerator&lt;Float&gt;.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAligenedMathUtils`1.AssertCompatible(Microsoft.ML.Internal.CpuMath.ICpuFullMatrix)">
-            <summary>
-            Assert the compatibility of the underlying AlignedArray for the input matrix in terms of alignment amount.
-            </summary>
-            <param name="values">The input matrix</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAligenedMathUtils`1.AssertCompatible(Microsoft.ML.Internal.CpuMath.ICpuVector)">
-            <summary>
-            Assert the compatibility of the underlying AlignedArray for the input vector in terms of alignment amount.
-            </summary>
-            <param name="values">The input vector</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAligenedMathUtils`1.AssertCompatible(Microsoft.ML.Internal.CpuMath.ICpuFullMatrix,Microsoft.ML.Internal.CpuMath.ICpuVector,Microsoft.ML.Internal.CpuMath.ICpuVector)">
-            <summary>
-            Asserts the following:
-            1. The compatibility of the underlying AlignedArray for mat in terms of alignment amount.
-            2. The compatibility of the underlying AlignedArray for src in terms of alignment amount.
-            3. The compatibility of the underlying AlignedArray for dst in terms of alignment amount.
-            4. The compatibility of the matrix-vector multiplication mat * src = dst.
-            </summary>
-            <param name="mat"></param>
-            <param name="src"></param>
-            <param name="dst"></param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAligenedMathUtils`1.MatTimesSrc(Microsoft.ML.Internal.CpuMath.ICpuFullMatrix,Microsoft.ML.Internal.CpuMath.ICpuVector,Microsoft.ML.Internal.CpuMath.ICpuVector)">
-            <summary>
-            Matrix multiplication:
-            dst = mat * src
-            </summary>
-            <param name="mat">The multiplier matrix</param>
-            <param name="src">The source vector</param>
-            <param name="dst">The destination vector</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuAligenedMathUtils`1.MatTranTimesSrc(Microsoft.ML.Internal.CpuMath.ICpuFullMatrix,Microsoft.ML.Internal.CpuMath.ICpuVector,Microsoft.ML.Internal.CpuMath.ICpuVector)">
-            <summary>
-            Matrix transpose multiplication:
-            dst = mat' * src
-            </summary>
-            <param name="mat">The multiplier matrix</param>
-            <param name="src">The source vector</param>
-            <param name="dst">The destination vector</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.GeneralUtils.CbitLowZero(System.UInt32)">
-            <summary>
-            Count the number of zero bits in the lonest string of zero's from the lowest significant bit of the input integer.
-            </summary>
-            <param name="u">The input integer</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuMathUtils.Compat(Microsoft.ML.Internal.CpuMath.AlignedArray)">
-            <summary>
-            
-            
-            if <paramref name="a"/>'s alignment is suitable to SSE instructions. Returns <see langword="true"/>
-            if <paramref name="a"/>'s alignment is ok and <see langword="false"/> otherwise.
-            </summary>
-            <param name="a">The vector being checked.</param>
-            <returns>Whether <paramref name="a"/> is aligned well.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.CpuMathUtils.MatrixTimesSource(System.Boolean,Microsoft.ML.Internal.CpuMath.AlignedArray,Microsoft.ML.Internal.CpuMath.AlignedArray,Microsoft.ML.Internal.CpuMath.AlignedArray,System.Int32)">
-            <summary>
-            Compute the product of matrix <paramref name="mat"/> (the matrix is flattened because its type is <see cref="T:Microsoft.ML.Internal.CpuMath.AlignedArray"/> instead of a matrix)
-            and a vector <paramref name="src"/>.
-            </summary>
-            <param name="tran">Whether to transpose <paramref name="mat"/> before doing any computation.</param>
-            <param name="mat">If <paramref name="tran"/> is <see langword="false"/>, <paramref name="mat"/> is a m-by-n matrix, and the value at the i-th row and the j-th column is indexed by i * n + j in <paramref name="mat"/>.
-            If <paramref name="tran"/> is <see langword="true"/>, <paramref name="mat"/> would be viewed a n-by-m matrix, and the value at the i-th row and the j-th column in the transposed matrix is indexed by j * m + i in the
-            original <paramref name="mat"/>.</param>
-            <param name="src">A n-by-1 matrix, which is also a vector.</param>
-            <param name="dst">A m-by-1 matrix, which is also a vector.</param>
-            <param name="crun">The truncation level of <paramref name="dst"/>. For example, if <paramref name="crun"/> is 2, <paramref name="dst"/>
-            will be considered as a 2-by-1 matrix and therefore elements after its 2nd element will be ignored. If no truncation should happen,
-            set <paramref name="crun"/> to the length of <paramref name="dst"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuBuffer`1.Randomize(System.Func{`0})">
-            <summary>
-            Assign random values using the given random function.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuBuffer`1.Zero">
-            <summary>
-            Set all values to zero.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuBuffer`1.CopyTo(`0[],System.Int32@)">
-            <summary>
-            Copy the values into dst, starting at slot ivDst and advancing ivDst.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuBuffer`1.CopyFrom(`0[],System.Int32@)">
-            <summary>
-            Copy values from the given src array into this buffer, starting at the given index in src,
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.ICpuVector">
-            <summary>
-            A logical math vector.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.ICpuVector.VectorSize">
-            <summary>
-            The vector size
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuVector.GetValue(System.Int32)">
-            <summary>
-            Get the i'th component of the vector.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.ICpuMatrix.RowCount">
-            <summary>
-            The row count
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.ICpuMatrix.ColCount">
-            <summary>
-            the column count
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.ICpuFullMatrix">
-            <summary>
-            A 2-dimensional matrix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuFullMatrix.CopyTo(System.Int32,System.Single[],System.Int32@)">
-            <summary>
-            Copy the values for the given row into dst, starting at slot ivDst.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ICpuFullMatrix.ZeroItems(System.Int32[])">
-            <summary>
-            Zero out the items with the given indices.
-            The indices contain the logical indices to the vectorized representation of the matrix,
-            which can be different depending on whether the matrix is row-major or column-major.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.Add(System.UInt64@,System.UInt64@,System.UInt64)">
-            <summary>
-            Add src to the 128 bits contained in dst. Ignores overflow, that is, the addition is done modulo 2^128.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.Add(System.UInt64@,System.UInt64@,System.UInt64,System.UInt64)">
-            <summary>
-            Add src to dst. Ignores overflow, that is, the addition is done modulo 2^128.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.Sub(System.UInt64@,System.UInt64@,System.UInt64)">
-            <summary>
-            Subtract src from the 128 bits contained in dst. Ignores overflow, that is, the subtraction is
-            done modulo 2^128.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.Sub(System.UInt64@,System.UInt64@,System.UInt64,System.UInt64)">
-            <summary>
-            Subtract src from dst. Ignores overflow, that is, the subtraction is done modulo 2^128.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.LessThan(System.UInt64,System.UInt64,System.UInt64,System.UInt64)">
-            <summary>
-            Return true if a is less than b.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.Mul64(System.UInt64,System.UInt64,System.UInt64@)">
-            <summary>
-            Multiple the two 64-bit values to produce 128 bit result.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.IntUtils.CbitHighZero(System.UInt64)">
-            <summary>
-            Return the number of zero bits on the high end.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.ProbabilityFunctions">
-            <summary>
-            Probability Functions.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ProbabilityFunctions.Erfc(System.Double)">
-            <summary>
-            The approximate complimentary error function (i.e., 1-erf).
-            </summary>
-            <param name="x">The input parameter, of infinite range.</param>
-            <returns>Evaluation of the function</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ProbabilityFunctions.Erf(System.Double)">
-            <summary>
-            The approximate error function.
-            </summary>
-            <param name="x">The input parameter, of infinite range.</param>
-            <returns>Evaluation of the function</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ProbabilityFunctions.Erfinv(System.Double)">
-            <summary>
-            The inverse error function.
-            </summary>
-            <param name="x">Parameter in the range 1 to -1.</param>
-            <returns>Evaluation of the function.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.ProbabilityFunctions.Probit(System.Double)">
-            <summary>
-            The probit function. This has many applications, the most familiar being perhaps
-            that this is the point "x" at which the standard normal CDF evaluates to the indicated
-            p value. It is used in establishing confidence intervals.
-            </summary>
-            <param name="p">The input p value, so in the range 0 to 1.</param>
-            <returns>One interpretation is, the value at which the standard normal CDF evaluates to p.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.Core.IExceptionContext">
-            <summary>
-            Interface for "processing" exceptions before they are thrown. This can
-            be used to add context to the exception, wrap the exception in another one,
-            totally replace the exception, etc. It is not legal to return null from
-            Process (unless null was passed in, which really shouldn't happen).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.CpuMath.Core.IExceptionContext.ContextDescription">
-            <summary>
-            A string describing the context itself.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.Process``1(``0,Microsoft.ML.Internal.CpuMath.Core.IExceptionContext)">
-            <summary>
-            Does standard processing of an exception (typically called after construction
-            but before it is thrown).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.Mark``1(``0)">
-            <summary>
-            Mark the exception by setting <see cref="F:Microsoft.ML.Internal.CpuMath.Core.Contracts.IsMarkedKey"/> in the exception
-            <see cref="P:System.Exception.Data"/> to 1.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.IsMarked(System.Exception)">
-            <summary>
-            Indicates whether the exception was "marked" the Contracts code.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.MarkSensitive``1(``0,Microsoft.ML.Internal.CpuMath.Core.MessageSensitivity)">
-            <summary>
-            Exceptions whose message communicates potentially sensitive information should be
-            marked using this method, before they are thrown. Note that if the exception already
-            had this flag set, the message will be flagged with the bitwise or of the existing
-            flag, alongside the passed in sensitivity.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.Sensitivity(System.Exception)">
-            <summary>
-            This is a convenience method to get the sensitivity of an exception,
-            as encoded with <see cref="F:Microsoft.ML.Internal.CpuMath.Core.Contracts.SensitivityKey"/>. If there is no key, then
-            the message is assumed to be of unknown sensitivity, i.e., it is assumed
-            that it might contain literally anything.
-            </summary>
-            <param name="ex">The exception to query</param>
-            <returns>The value encoded at the <see cref="F:Microsoft.ML.Internal.CpuMath.Core.Contracts.SensitivityKey"/>, if it is
-            a <see cref="T:Microsoft.ML.Internal.CpuMath.Core.MessageSensitivity"/> value. If neither of these conditions
-            hold then <see cref="F:Microsoft.ML.Internal.CpuMath.Core.MessageSensitivity.Unknown"/> is returned.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.SetAssertHandler(System.Action{System.String,Microsoft.ML.Internal.CpuMath.Core.IExceptionContext})">
-            <summary>
-            Sets the assert handler to the given function, returning the previous handler.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.Except">
-            <summary>
-            Default exception type (currently InvalidOperationException)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptUserArg(System.String)">
-            <summary>
-            For signaling bad user input.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptParam(System.String)">
-            <summary>
-            For signaling bad function parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptValue(System.String)">
-            <summary>
-            For signaling null function parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptEmpty(System.String)">
-            <summary>
-            For signaling null or empty function parameters (strings, arrays, collections, etc).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptWhiteSpace(System.String)">
-            <summary>
-            For signaling null, empty or white-space function parameters (strings, arrays, collections, etc).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptDecode">
-            <summary>
-            For signaling errors in decoding information, whether while reading from a file,
-            parsing user input, etc.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptIO">
-            <summary>
-            For signaling IO failures.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptNotImpl">
-            <summary>
-            For signaling functionality that is not YET implemented.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptNotSupp">
-            <summary>
-            For signaling functionality that is not implemented by design.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.ExceptSchemaMismatch(System.String,System.String,System.String)">
-            <summary>
-            For signaling schema validation issues.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.CheckUserArg(System.Boolean,System.String)">
-            <summary>
-            CheckUserArg / ExceptUserArg should be used when the validation of user-provided arguments failed.
-            Typically, this is shortly after the arguments are parsed using CmdParser.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.CheckValueOrNull``1(``0)">
-            <summary>
-            This documents that the parameter can legally be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.CheckValueOrNull``1(Microsoft.ML.Internal.CpuMath.Core.IExceptionContext,``0)">
-            <summary>
-            This documents that the parameter can legally be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.CpuMath.Core.Contracts.AssertValueOrNull``1(``0)">
-            <summary>
-            This documents that the parameter can legally be null.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.Core.BestFriendAttribute">
-            <summary>
-            Intended to be applied to types and members with internal scope to indicate that friend access of this
-            internal item is OK from another assembly. This restriction applies only to assemblies that declare the
-            <see cref="T:Microsoft.ML.Internal.CpuMath.Core.WantsToBeBestFriendsAttribute"/> assembly level attribute. Note that this attribute is not
-            transferable: an internal member with this attribute does not somehow make a containing internal type
-            accessible. Conversely, neither does marking an internal type make any unmarked internal members accessible.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.CpuMath.Core.WantsToBeBestFriendsAttribute">
-            <summary>
-            This is an assembly level attribute to signal that friend accesses on this assembly should be checked
-            for usage of <see cref="T:Microsoft.ML.Internal.CpuMath.Core.BestFriendAttribute"/>. If this attribute is missing, normal access rules for
-            friends should apply.
-            </summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.Data.dll b/W/Debug_Folder/Microsoft.ML.Data.dll
deleted file mode 100644
index b574f1cb1..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.Data.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.Data.xml b/W/Debug_Folder/Microsoft.ML.Data.xml
deleted file mode 100644
index 9ae8dfeac..000000000
--- a/W/Debug_Folder/Microsoft.ML.Data.xml
+++ /dev/null
@@ -1,14072 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.Data</name>
-    </assembly>
-    <members>
-        <member name="M:Microsoft.ML.Data.CrossValidationCommand.ApplyAllTransformsToData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.IDataView)">
-            <summary>
-            Callback from the CV method to apply the transforms from the train data to the test and/or validation data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CrossValidationCommand.CreateRoleMappedData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.IDataView,Microsoft.ML.ITrainer)">
-            <summary>
-            Callback from the CV method to apply the transforms to the train data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CrossValidationCommand.FoldHelper.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.IDataView,System.String,Microsoft.ML.Data.CrossValidationCommand.Arguments,System.Func{Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.IDataView,Microsoft.ML.ITrainer,Microsoft.ML.Data.RoleMappedData},System.Func{Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedData},Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.IDataView,Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.Data.IDataScorerTransform},Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.Data.IMamlEvaluator},System.Func{Microsoft.ML.IDataView},System.Func{Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedData},Microsoft.ML.IPredictor,System.String,Microsoft.ML.Data.ILegacyDataLoader,System.Boolean)">
-            <param name="env">The environment.</param>
-            <param name="registrationName">The registration name.</param>
-            <param name="inputDataView">The input data view.</param>
-            <param name="splitColumn">The column to use for splitting data into folds.</param>
-            <param name="args">Cross validation arguments.</param>
-            <param name="createExamples">The delegate to create RoleMappedData</param>
-            <param name="applyTransformsToTestData">The delegate to apply the transforms from the train pipeline to the test data</param>
-            <param name="scorer">The scorer</param>
-            <param name="evaluator">The evaluator</param>
-            <param name="getValidationDataView">The delegate to create validation data view</param>
-            <param name="applyTransformsToValidationData">The delegate to apply the transforms from the train pipeline to the validation data</param>
-            <param name="inputPredictor">The input predictor, for the continue training option</param>
-            <param name="cmd">The command string.</param>
-            <param name="loader">Original loader so we can construct correct pipeline for model saving.</param>
-            <param name="savePerInstance">Whether to produce the per-instance data view.</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.CrossValidationCommand.FoldHelper.GetCrossValidationTasks">
-            <summary>
-            Creates and runs tasks for each fold of cross validation. The split column is used to split the input data into folds.
-            There are two cases:
-                1. The split column is R4: in this case it assumes that the values are in the interval [0,1] and will split
-                this interval into equal width folds. If the values are uniformly distributed it should result in balanced folds.
-                2. The split column is key of known cardinality: will split the whole range into equal parts to form folds. If the
-                keys are generated by hashing for example, it should result in balanced folds.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.CrossValidationCommand.ConstructPerFoldName(System.String,System.Int32)">
-            <summary>
-            Take path to expected output model file and return path to output model file for specific fold.
-            Example: \\share\model.zip -> \\share\model.fold001.zip
-            </summary>
-            <param name="outputModelFile">Path to output model file</param>
-            <param name="fold">Current fold</param>
-            <returns>Path to output model file for specific fold</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataCommand">
-            <summary>
-            This holds useful base classes for commands that ingest a primary dataset and deal with associated model files.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataCommand.ImplBase`1.LoadModelObjects(Microsoft.ML.Runtime.IChannel,System.Nullable{System.Boolean},Microsoft.ML.IPredictor@,System.Boolean,Microsoft.ML.Data.RoleMappedSchema@,Microsoft.ML.Data.ILegacyDataLoader@)">
-            <summary>
-            Loads multiple artifacts of interest from the input model file, given the context
-            established by the command line arguments.
-            </summary>
-            <param name="ch">The channel to which to provide output.</param>
-            <param name="wantPredictor">Whether we want a predictor from the model file. If
-            <c>false</c> we will not even attempt to load a predictor. If <c>null</c> we will
-            load the predictor, if present. If <c>true</c> we will load the predictor, or fail
-            noisily if we cannot.</param>
-            <param name="predictor">The predictor in the model, or <c>null</c> if
-            <paramref name="wantPredictor"/> was false, or <paramref name="wantPredictor"/> was
-            <c>null</c> and no predictor was present.</param>
-            <param name="wantTrainSchema">Whether we want the training schema. Unlike
-            <paramref name="wantPredictor"/>, this has no "hard fail if not present" option. If
-            this is <c>true</c>, it is still possible for <paramref name="trainSchema"/> to remain
-            <c>null</c> if there were no role mappings, or pipeline.</param>
-            <param name="trainSchema">The training schema if <paramref name="wantTrainSchema"/>
-            is true, and there were role mappings stored in the model.</param>
-            <param name="pipe">The data pipe constructed from the combination of the
-            model and command line arguments.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoaderUtils.SaveLoader(Microsoft.ML.Data.ILegacyDataLoader,Microsoft.ML.Data.IFileHandle,Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Saves <paramref name="loader"/> to the specified <paramref name="file"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoaderUtils.SaveLoader(Microsoft.ML.Data.ILegacyDataLoader,System.IO.Stream,Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Saves <paramref name="loader"/> to the specified <paramref name="stream"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DefaultColumnNames">
-            <summary>
-            A set of string literals intended to be "canonical" names for column names intended for particular purpose.
-            While not part of the public API surface, its primary purpose is intended to be used in such a way as to encourage
-            uniformity on the public API surface, wherever it is judged where columns with default names should be consumed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetricColumn">
-            <summary>
-            This class contains information about an overall metric, namely its name and whether it is a vector
-            metric or not.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetricColumn.Objective">
-            <summary>
-            An enum specifying whether the metric should be maximized or minimized while sweeping. 'Info' should be
-            used for metrics that are irrelevant to the model's quality (such as the number of positive/negative
-            examples etc.).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IEvaluator">
-            <summary>
-            This is an interface for evaluation. It has two methods: <see cref="M:Microsoft.ML.Data.IEvaluator.Evaluate(Microsoft.ML.Data.RoleMappedData)"/> and <see cref="M:Microsoft.ML.Data.IEvaluator.GetPerInstanceMetrics(Microsoft.ML.Data.RoleMappedData)"/>.
-            Both take a <see cref="T:Microsoft.ML.Data.RoleMappedData"/> as input. The <see cref="T:Microsoft.ML.Data.RoleMappedData"/> is assumed to contain all the column
-            roles needed for evaluation, including the score column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IEvaluator.Evaluate(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Compute the aggregate metrics. Return a dictionary from the metric kind
-            (overal/per-fold/confusion matrix/PR-curves etc.), to a data view containing the metric.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IEvaluator.GetPerInstanceMetrics(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Return an <see cref="T:Microsoft.ML.Data.IDataTransform"/> containing the per-instance results.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IEvaluator.GetOverallMetricColumns">
-            <summary>
-            Get all the overall metrics returned by this evaluator.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureEvaluator">
-            <summary>
-            Signature for creating an <see cref="T:Microsoft.ML.Data.IEvaluator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureDataScorer">
-            <summary>
-            Signature for creating an <see cref="T:Microsoft.ML.Data.IDataScorerTransform"/>.
-            </summary>
-            <param name="data">The data containing the columns to score</param>
-            <param name="mapper">The mapper, already bound to the schema column in <paramref name="data"/></param>
-            <param name="trainSchema">This parameter holds a snapshot of the role mapped training schema as
-            it existed at the point when <paramref name="mapper"/> was trained, or <c>null</c> if it not
-            available for some reason</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreCommand.ShouldAddColumn(Microsoft.ML.DataViewSchema,System.Int32,System.UInt32,System.Boolean)">
-            <summary>
-            Whether a column should be added, assuming it's not hidden
-            (i.e.: this doesn't check for hidden
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreUtils.GetScorerComponentAndMapper(Microsoft.ML.IPredictor,Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.IDataView,Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.Data.IDataScorerTransform},Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.IPredictor,Microsoft.ML.Data.ISchemaBindableMapper},Microsoft.ML.Data.ISchemaBoundMapper@)">
-            <summary>
-            Determines the scorer component factory (if the given one is null or empty), and creates the schema bound mapper.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreUtils.GetScorerComponent(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundMapper,System.String)">
-            <summary>
-            Determine the default scorer for a schema bound mapper. This looks for text-valued ScoreColumnKind
-            metadata on the first column of the mapper. If that text is found and maps to a scorer loadable class,
-            that component is used. Otherwise, the GenericScorer is used.
-            </summary>
-            <param name="environment">The host environment.</param>.
-            <param name="mapper">The schema bound mapper to get the default scorer.</param>.
-            <param name="suffix">An optional suffix to append to the default column names.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreUtils.GetSchemaBindableMapper(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IPredictor,Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.IPredictor,Microsoft.ML.Data.ISchemaBindableMapper},Microsoft.ML.CommandLine.ICommandLineComponentFactory)">
-            <summary>
-            Given a predictor, an optional mapper factory, and an optional scorer factory settings,
-            produces a compatible ISchemaBindableMapper.
-            First, it tries to instantiate the bindable mapper using the mapper factory.
-            Next, it tries to instantiate the bindable mapper using the <paramref name="scorerFactorySettings"/>
-            (this will only succeed if there's a registered BindableMapper creation method with load name equal to the one
-            of the scorer).
-            If the above fails, it checks whether the predictor implements <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/>
-            directly.
-            If this also isn't true, it will create a 'matching' standard mapper.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ShowSchemaCommand.RunOnData(System.IO.TextWriter,Microsoft.ML.Data.ShowSchemaCommand.Arguments,Microsoft.ML.IDataView)">
-            <summary>
-            This shows the schema of the given <paramref name="data"/>, ignoring the data specification
-            in the <paramref name="args"/> parameter. Test code invokes this, hence it is internal.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ShowSchemaCommand.GetViewChainReversed(Microsoft.ML.IDataView)">
-            <summary>
-            Returns the sequence of views passed through the transform chain, last to first.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TestCommand">
-            <summary>
-            This command is essentially chaining together <see cref="T:Microsoft.ML.Data.ScoreCommand"/> and
-            <see cref="T:Microsoft.ML.Data.EvaluateCommand"/>, without the need to save the intermediary scored data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TrainUtils.MatchNameOrDefaultOrNull(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.DataViewSchema,System.String,System.String,System.String)">
-            <summary>
-            If user name is null or empty, return null.
-            Else, if the user name is found in the schema, return the user name.
-            Else, if the user name equals the default name return null.
-            Else, throw an error.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TrainUtils.SaveModel(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.IFileHandle,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedData,System.String)">
-            <summary>
-            Save the model to the output path.
-            The method saves the loader and the transformations of dataPipe and saves optionally predictor
-            and command. It also uses featureColumn, if provided, to extract feature names.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="ch">The communication channel to use.</param>
-            <param name="output">The output file handle.</param>
-            <param name="predictor">The predictor.</param>
-            <param name="data">The training examples.</param>
-            <param name="command">The command string.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TrainUtils.SaveModel(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.IO.Stream,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedData,System.String)">
-            <summary>
-            Save the model to the stream.
-            The method saves the loader and the transformations of dataPipe and saves optionally predictor
-            and command. It also uses featureColumn, if provided, to extract feature names.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="ch">The communication channel to use.</param>
-            <param name="outputStream">The output model stream.</param>
-            <param name="predictor">The predictor.</param>
-            <param name="data">The training examples.</param>
-            <param name="command">The command string.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TrainUtils.SaveDataPipe(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.RepositoryWriter,Microsoft.ML.IDataView,System.Boolean)">
-            <summary>
-            Save the data pipeline defined by dataPipe. If blankLoader is true or the root IDataView is not an IDataLoader,
-            this persists the root as a BinaryLoader having the same schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TrainUtils.BacktrackPipe(Microsoft.ML.IDataView,Microsoft.ML.IDataView@)">
-            <summary>
-            Traces back the .Source chain of the transformation pipe <paramref name="dataPipe"/> up to the moment it no longer can.
-            Returns all the transforms of <see cref="T:Microsoft.ML.IDataView"/> and the first data view (a non-transform).
-            </summary>
-            <param name="dataPipe">The transformation pipe to traverse.</param>
-            <param name="pipeStart">The beginning data view of the transform chain</param>
-            <returns>The list of the transforms</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataDebuggerPreview">
-            <summary>
-            This class represents an eager 'preview' of a <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry">
-            <summary>
-            Each column corresponds to a table of contents entry, describing information about the column
-            and how values may be extracted. For columns represented physically within the stream this will
-            include its location within the stream and a codec to decode the bytestreams, and for generated
-            columns procedures to create them. This structure is used both for those columns that
-            we know how to access (called alive columns), and those columns we do not know how to access
-            (either because the value codec or compressions scheme is unrecognized, called a dead column).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.Name">
-            <summary>
-            The name of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.Codec">
-            <summary>
-            The codec we will use to read the values from the stream. This will be null if
-            and only if this is a dead or generated column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.Type">
-            <summary>
-            The column type of the column. This will be null if and only if this is a dead
-            column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.Compression">
-            <summary>
-            The compression scheme used on this column's blocks.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.RowsPerBlock">
-            <summary>
-            The number of rows in each block (except for the last one).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.LookupOffset">
-            <summary>
-            The offset into the stream where the lookup table for this column is stored.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.MetadataTocOffset">
-            <summary>
-            The offset into the stream where the metadata TOC entries for this column are
-            stored. This will be 0 if there is no metadata for this column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.ColumnIndex">
-            <summary>
-            The index of the column. Note that if there are dead columns, this value may
-            differ from the corresponding column index as reported by the dataview.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.IsGenerated">
-            <summary>
-            Whether this is a generated column, that is, something dependent on no actual block data
-            in the file.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.#ctor(Microsoft.ML.Data.IO.BinaryLoader,System.String,Microsoft.ML.Data.DataViewType,System.Delegate)">
-            <summary>
-            Constructor for a generated column, which corresponds to no column in the original file,
-            and has no stored blocks associated with it. The input <paramref name="valueMapper"/> must
-            be a <c>ValueMapper</c> mapping a <c>long</c> zero based row index, to some value with the
-            same type as the raw type in <paramref name="type"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetValueMapper``1">
-            <summary>
-            Returns the value mapper for a generated column. Only a valid call if
-            <typeparamref name="T"/> is the same type as <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetLookup">
-            <summary>
-            Gets an array, one for each block of this column, describing its location within the file.
-            This will return null if and only if this is a generated column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetMaxBlockSizes(System.Int32@,System.Int32@)">
-            <summary>
-            Fetches the maximum block sizes for both the compressed and decompressed
-            block sizes, for this column. If there are no blocks associated with this
-            column, for whatever reason (for example, a data view with no rows, or a generated
-            column), this will return 0 in both vlaues.
-            </summary>
-            <param name="compressed">The maximum value of the compressed block size
-            (that is, the actual size of the block in stream) among all blocks for this
-            column</param>
-            <param name="decompressed">The maximum value of the block size when
-            decompressed among all blocks for this column</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetMetadataTocArray">
-            <summary>
-            Gets an array containing the metadata TOC entries. This will return null if there
-            are no entries stored at all, and empty if there is metadata, but none of it was
-            readable. (To inspect attributes of the unreadable metadata, if any, see
-            <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetDeadMetadataTocArray"/>.) All entries will point to metadata with
-            known codecs and compression schemes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetDeadMetadataTocArray">
-            <summary>
-            Gets an array containing the metadata TOC entries for all "dead" pieces of metadata. This
-            will return null if there are no metadata stored at all either readable or unreadable, and
-            empty if there is no unreadable piece of metadata. A piece of metadata is considered "dead"
-            if either its codec or compression kind is unknown. This is primarily for diagnostic purposes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetMetadataTocEntryOrNull(System.String)">
-            <summary>
-            Returns the entry for a valid "live" piece of metadata given a kind.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.TableOfContentsEntry.GetMetadataTocEndOffset">
-            <summary>
-            Returns the location in the stream just past the end of the metadata table of contents.
-            If this column has no metadata table of contents defined, this will return 0. This is
-            primarily for diagnostic purposes.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry">
-            <summary>
-            A column can be associated with metadata, in which case it will have one or more table of contents entries,
-            each represented by one of these entries.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.Kind">
-            <summary>
-            The kind of the metadata, an identifying name.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.Codec">
-            <summary>
-            The codec we will use to read the metadata value. If this is <c>null</c>,
-            the metadata is considered "dead," that is, uninterpretable.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.Compression">
-            <summary>
-            The compression scheme used on the metadata block. If this is an unknown
-            type, the metadata is considered "dead," that is, uninterpretable.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.BlockOffset">
-            <summary>
-            The offset into the stream where the metadata block begins.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.BlockSize">
-            <summary>
-            The number of bytes used to store the metadata block.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.GetGetter">
-            <summary>
-            Return <see cref="T:Microsoft.ML.ValueGetter`1"/> to the stored entry value as <see cref="T:System.Delegate"/>. An example of stored value is
-            <see cref="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry`1.Value"/>. For implementations of <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.GetGetter"/>, see <see cref="T:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.ImplDead"/>,
-            <see cref="T:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.ImplOne`1"/>, and <see cref="T:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.ImplVec`1"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry.ImplDead">
-            <summary>
-            Information on a metadata that could not be interpreted for some reason.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry`1.EnsureValue">
-            <summary>
-            By calling <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry`1.EnsureValue"/>, we make sure <see cref="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry`1.Value"/>'s content get loaded definitely.
-            Without calling <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry`1.EnsureValue"/>, <see cref="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataTableOfContentsEntry`1.Value"/> could be default value of its type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.ComputeOutputSchema">
-            <summary>
-            This function returns output schema, <see cref="P:Microsoft.ML.Data.IO.BinaryLoader.Schema"/>, of <see cref="T:Microsoft.ML.Data.IO.BinaryLoader"/> by translating <see cref="F:Microsoft.ML.Data.IO.BinaryLoader._aliveColumns"/> into
-            <see cref="T:Microsoft.ML.DataViewSchema.Column"/>s. If a <see cref="T:Microsoft.ML.Data.IO.BinaryLoader"/> loads a text column from the input file, its <see cref="P:Microsoft.ML.Data.IO.BinaryLoader.Schema"/>
-            should contains a <see cref="T:Microsoft.ML.DataViewSchema.Column"/> with <see cref="P:Microsoft.ML.Data.TextDataViewType.Instance"/> as its <see cref="T:Microsoft.ML.Data.DataViewType"/>.
-            </summary>
-            <returns><see cref="P:Microsoft.ML.Data.IO.BinaryLoader.Schema"/> of loaded file.</returns>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.ReaderVersion">
-            <summary>
-            Upper inclusive bound of versions this reader can read.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.StandardDataTypesVersion">
-            <summary>
-            The first version that removes DvTypes and uses .NET standard
-            data types.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.MissingTextVersion">
-            <summary>
-            The first version of the format that accommodated DvText.NA.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.MetadataVersion">
-            <summary>
-            The first version of the format that accommodated arbitrary metadata.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.SlotNamesVersion">
-            <summary>
-            The first version of the format that accommodated slot names.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.ReaderFirstVersion">
-            <summary>
-            Low inclusive bound of versions this reader can read.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.IO.BinaryLoader.Arguments,System.IO.Stream,System.Boolean)">
-            <summary>
-            Constructs a new data view loader.
-            </summary>
-            <param name="stream">A seekable, readable stream. Note that the data view loader assumes
-            that it is the exclusive owner of this stream.</param>
-            <param name="args">Arguments</param>
-            <param name="env">Host environment</param>
-            <param name="leaveOpen">Whether to leave the input stream open</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.#ctor(Microsoft.ML.Runtime.IHost,Microsoft.ML.ModelLoadContext,System.IO.Stream)">
-            <summary>
-            Creates a binary loader from a <see cref="T:Microsoft.ML.ModelLoadContext"/>. Since the loader code
-            opens the file, this will always take ownership of the stream, that is, this is always
-            akin to <c>leaveOpen</c> in the other constructor being false.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,System.IO.Stream)">
-            <summary>
-            Creates a binary loader from a stream that is not owned by the loader.
-            This creates its own independent copy of input stream for the binary loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.SaveParameters(Microsoft.ML.ModelSaveContext,System.Int32,System.Double)">
-            <summary>
-            Write the parameters of a loader to the save context. Can be called by <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.SaveInstance(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelSaveContext,Microsoft.ML.DataViewSchema)"/>, where there's no actual
-            loader, only default parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.SaveSchema(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelSaveContext,Microsoft.ML.DataViewSchema,System.Int32[]@)">
-            <summary>
-            Save a zero-row dataview that will be used to infer schema information, used in the case
-            where the binary loader is instantiated with no input streams.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.SaveInstance(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelSaveContext,Microsoft.ML.DataViewSchema)">
-             <summary>
-             Given the schema and a model context, save an imaginary instance of a binary loader with the
-             specified schema. Deserialization from this context should produce a real binary loader that
-             has the specified schema.
-            
-             This is used in an API scenario, when the data originates from something other than a loader.
-             Since our model file requires a loader at the beginning, we have to construct a bogus 'binary' loader
-             to begin the pipe with, with the assumption that the user will bypass the loader at deserialization
-             time by providing a starting data view.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe.DecompressOne">
-            <summary>
-            This will attempt to extract a compressed block from the
-            <see cref="F:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1._toDecompress"/> queue. This returns true if and only if it
-            succeeded in extracting an item from the queue (even a sentinel block);
-            that is, if it returns false, then there are no more items to extract
-            (though, continuing to call this method is entirely possible, and legal,
-            if convenient).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe.MoveNextCleanup">
-            <summary>
-            Necessary to be called in the event of a premature exiting. This executes
-            the same recycle-fetch block cycle as <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe.MoveNext"/>, except that
-            nothing is actually done with the resulting block. This should be called
-            in a similar fashion as the cursor calls <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe.MoveNext"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipeGenerated`1.Block.IsSentinel">
-            <summary>
-            This indicates that this block does not contain any actual information, or
-            correspond to an actual block, but it will still contain the
-            <see cref="F:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipeGenerated`1.Block.BlockSequence"/> index. Sentinel blocks are used to indicate that
-            there will be no more blocks to be decompressed along a particular pipe,
-            allowing the pipe worker to perform necessary cleanup.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipeGenerated`1.Block.#ctor(System.Int64)">
-            <summary>
-            Constructor for a sentinel compressed block. (For example,
-            the pipe's last block, which contains no valid data.)
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1._toDecompress">
-            <summary>
-            Calls from the stream reader worker into <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1.PrepAndSendCompressedBlock(System.Int64,System.Int64,System.Int32)"/> will feed
-            into this collection, and calls from the decompress worker into <see cref="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1.DecompressOne"/>
-            will consume this collection.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1.CompressedBlock.IsSentinel">
-            <summary>
-            This indicates that this block does not contain any actual information, or
-            correspond to an actual block, but it will still contain the
-            <see cref="F:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1.CompressedBlock.BlockSequence"/> index. Sentinel blocks are used to indicate that
-            there will be no more blocks to be decompressed along a particular pipe,
-            allowing the pipe worker to perform necessary cleanup.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1.CompressedBlock.#ctor(System.Int64)">
-            <summary>
-            Constructor for a sentinel compressed block. (For example,
-            the pipe's last block, which contains no valid data.)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.ReadPipe`1.#ctor(Microsoft.ML.Data.IO.BinaryLoader.Cursor,System.Int32,System.Int32)">
-            <summary>
-            This is called through reflection so it will appear to have no references.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinaryLoader.Cursor.GetNoRowGetter(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Even in the case with no rows, there still must be valid delegates. This will return
-            a delegate that simply always throws.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.BinarySaver.ColumnCodec">
-            <summary>
-            This is a simple struct to associate a source index with a codec, without having to have
-            parallel structures everywhere.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.WritePipe.Create(Microsoft.ML.Data.IO.BinarySaver,Microsoft.ML.DataViewRowCursor,Microsoft.ML.Data.IO.BinarySaver.ColumnCodec)">
-            <summary>
-            Returns an appropriate generic <c>WritePipe{T}</c> for the given column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.BinarySaver.Block">
-            <summary>
-            A class useful for encapsulating both compressed and uncompressed block data.
-            As the mechanism the compress workers communicate with the writer worker, they
-            also have a dual usage if <see cref="T:System.Exception"/> is non-null of indicating
-            a source worker threw an exception.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinarySaver.Block.BlockData">
-            <summary>
-            Take one guess.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinarySaver.Block.UncompressedLength">
-            <summary>
-            The length of the block if uncompressed. This quantity is only intended to be
-            meaningful if the block data is compressed.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinarySaver.Block.ColumnIndex">
-            <summary>
-            The column index, which is the index of the column as being written, which
-            may be less than the column from the source dataview if there were preceding
-            columns being dropped.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BinarySaver.Block.BlockIndex">
-            <summary>
-            The block sequence number for this column, starting consecutively from 0.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.IO.BinarySaver.Arguments)">
-            <summary>
-            Constructs a saver for a data view.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.WriteMetadata(System.IO.BinaryWriter,Microsoft.ML.DataViewSchema,System.Int32,Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            A helper method to query and write metadata to the stream.
-            </summary>
-            <param name="writer">A binary writer, which if metadata exists for the
-            indicated column the base stream will be positioned just past the end of
-            the written metadata table of contents, and if metadata does not exist
-            remains unchanged</param>
-            <param name="schema">The schema to query for metadat</param>
-            <param name="col">The column we are attempting to get metadata for</param>
-            <param name="ch">The channel to which we write any diagnostic information</param>
-            <returns>The offset of the metadata table of contents, or 0 if there was
-            no metadata</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.TryWriteTypeDescription(System.IO.Stream,Microsoft.ML.Data.DataViewType,System.Int32@)">
-            <summary>
-            A utility method to save a column type to a stream, if we have a codec for that.
-            </summary>
-            <param name="stream">The stream to save the description to</param>
-            <param name="type">The type to save</param>
-            <param name="bytesWritten">The number of bytes written to the stream, which will
-            be zero if we could not save the stream</param>
-            <returns>Returns if have the ability to save this column type. If we do, we write
-            the description to the stream. If we do not, nothing is written to the stream and
-            the stream is not advanced.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.LoadTypeDescriptionOrNull(System.IO.Stream)">
-            <summary>
-            Attempts to load a type description from a stream. In all cases, in the event
-            of a properly formatted stream, even if the type-descriptor is not recognized,
-            the stream will be at the end of that type descriptor. Note that any detected
-            format errors will result in a throw.
-            </summary>
-            <param name="stream">The stream to load the type description from</param>
-            <returns>A non-null value if the type descriptor was recognized, or null if
-            it was not</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.TryWriteTypeAndValue``1(System.IO.Stream,Microsoft.ML.Data.DataViewType,``0@,System.Int32@)">
-            <summary>
-            A utility method to save a column type and value to a stream, if we have a codec for that.
-            </summary>
-            <param name="stream">The stream to write the type and value to</param>
-            <param name="type">The type of the codec to write and utilize</param>
-            <param name="value">The value to encode and write</param>
-            <param name="bytesWritten">The number of bytes written</param>
-            <returns>Whether the write was successful or not</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.TryLoadTypeAndValue(System.IO.Stream,Microsoft.ML.Data.DataViewType@,System.Object@)">
-            <summary>
-            Attempts to load a type description and a value of that type from a stream.
-            </summary>
-            <param name="stream">The stream to load the type description and value from</param>
-            <param name="type">A non-null value if the type descriptor was recognized, or null if
-            it was not</param>
-            <param name="value">A non-null value if the type descriptor was recognized and a value
-            read, or null if the type descriptor was not recognized</param>
-            <returns>Whether the load of a type description and value was successful</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.BinarySaver.LoadValue``1(System.IO.Stream,Microsoft.ML.Data.IO.IValueCodec)">
-            <summary>
-            Deserializes and returns a value given a stream and codec.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.BlockLookup">
-            <summary>
-            This structure is utilized by both the binary loader and binary saver to hold
-            information on the location of blocks written to an .IDV binary file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BlockLookup.BlockOffset">
-            <summary>The offset of the block into the file.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BlockLookup.BlockLength">
-            <summary>The byte length of the block on disk.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.BlockLookup.DecompressedBlockLength">
-            <summary>The byte length of the block if decompressed.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.CodecFactory.WriteCodec(System.IO.Stream,Microsoft.ML.Data.IO.IValueCodec)">
-            <summary>
-            Given a codec, write a type description to a stream, from which this codec can be
-            reconstructed later. This returns the number of bytes written, so that, if this
-            were a seekable stream, the positions would differ by this amount before and after
-            a call to this method.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.CodecFactory.TryReadCodec(System.IO.Stream,Microsoft.ML.Data.IO.IValueCodec@)">
-            <summary>
-            Attempts to define a codec, given a stream positioned at the start of a serialized
-            codec type definition.
-            </summary>
-            <param name="definitionStream">The input stream, which whether this returns true or false
-            will be left at the end of the codec type definition</param>
-            <param name="codec">A codec castable to a generic <c>IValueCodec{T}</c> where
-            <c>typeof(T)==codec.Type.RawType</c></param>
-            <returns>Whether the codec type definition was understood. If true the codec has defined
-            value, and should be usable. If false, the name of the codec was unrecognized. Note that
-            malformed definitions are detected, this will throw instead of returning either true or
-            false.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.CodecFactory.ValueWriterBase`1">
-            <summary>
-            A convenient base class for value writers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.CodecFactory.ValueReaderBase`1">
-            <summary>
-            A convenient base class for value readers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.CodecFactory.SimpleCodec`1">
-            <summary>
-            A simple codec is useful for those types with no parameterizations.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.CodecFactory.UnsafeTypeCodec`1">
-            <summary>
-            This codec is for use with types that have <c>UnsafeTypeOps</c> operations defined.
-            Generally, this corresponds to numeric types that can be safely blitted.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.CodecFactory.BoolCodec">
-            <summary>
-            This is a boolean code that reads from a form that serialized
-            1 bit per value. The old encoding (implemented by a different codec)
-            uses 2 bits per value so NA values can be supported.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.CompressionKind">
-            <summary>
-            A code indicating the kind of compression. It is supposed that each kind of compression is totally
-            sufficient to describe how a given stream should be decompressed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.CompressionCodecExtension.CompressStream(Microsoft.ML.Data.IO.CompressionKind,System.IO.Stream)">
-            <summary>
-            Generate an appropriate wrapping compressing stream for the codec. This
-            stream will be closable and disposable, without closing or disposing of
-            the passed in stream. The scheme for compression is not in any way
-            parameterizable.
-            </summary>
-            <param name="compression">The compression codec</param>
-            <param name="stream">The stream to which compressed data will be written</param>
-            <returns>A stream to which the user can write uncompressed data</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.CompressionCodecExtension.DecompressStream(Microsoft.ML.Data.IO.CompressionKind,System.IO.Stream)">
-            <summary>
-            Generate an appropriate wrapping decompressing stream for the codec.
-            </summary>
-            <param name="compression">The compression codec</param>
-            <param name="stream">The stream from which compressed data will be written</param>
-            <returns>A stream from which the user can read uncompressed data</returns>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.HeaderSize">
-            <summary>
-            The fixed header size. This should not be changed even in future versions of the format.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.SignatureValue">
-            <summary>
-            The header must start with this signature. This number will
-            appear as the eight-byte sequence "CML\0DVB\0" if encoded in
-            little-endian. (CML DVB is meant to suggest CloudML DataView binary).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.TailSignatureValue">
-            <summary>
-            The file must end with this value. Is is simply the
-            byte-order-reversed version of the head signature.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.WriterVersion">
-            <summary>
-            The current version of the format this software can write.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.Signature">
-            <summary>
-            The magic number of this file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.Version">
-            <summary>
-            Indicates the version of the data file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.CompatibleVersion">
-            <summary>
-            Indicates the minimum reader version that can interpret this file, possibly
-            with some data loss.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.TableOfContentsOffset">
-            <summary>
-            The offset to the table of contents structure where the column type definitions
-            are stored.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.TailOffset">
-            <summary>
-            The eight-byte tail signature starts at this offset. So, the entire dataset
-            stream should be considered to have eight plus this value bytes.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.RowCount">
-            <summary>
-            The number of rows in this data file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.Header.ColumnCount">
-            <summary>
-            The number of columns in this data file.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.IValueCodec">
-             <summary>
-             A value codec encapsulates implementations capable of writing and reading data of some
-             type to and from streams. The idea is that one creates a codec using <c>TryGetCodec</c>
-             on the appropriate <c>ColumnType</c>, then opens multiple writers to write blocks of data
-             to some stream. The idea is that each writer or reader is called on some "manageable chunk"
-             of data.
-            
-             Codecs should be thread safe, though the readers and writers they spawn do not need to
-             be thread safe.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.IValueCodec.LoadName">
-            <summary>
-            This is the codec's identifying name. This is utilized both by the codec factory's
-            <c>WriteTypeDescription</c> and <c>TryGetCodec</c>, for persisting and recovering
-            the codec, respectively.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueCodec.WriteParameterization(System.IO.Stream)">
-            <summary>
-            Writes the codec parameterization to the stream. (The parameterization
-            is the third part of the codec type description, after the name, and length
-            of the parameterization.)
-            </summary>
-            <returns>The number of bytes written to the stream</returns>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.IValueCodec.Type">
-            <summary>
-            The column type for this codec.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.IValueCodec`1">
-            <summary>
-            The generic value codec.
-            </summary>
-            <typeparam name="T">The type for which we can spawn readers and writers.
-            Note that <c>Type.RawType == typeof(T)</c>.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueCodec`1.OpenWriter(System.IO.Stream)">
-            <summary>
-            Returns a writer for this codec, capable of writing a series of values to a block
-            starting at the current position of the indicated writable stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueCodec`1.OpenReader(System.IO.Stream,System.Int32)">
-            <summary>
-            Returns a reader for this codec, capable of reading a series of values to a block
-            starting at the current position of the indicated readable stream.
-            </summary>
-            <param name="stream">Stream on which we open reader.</param>
-            <param name="items">The number of items expected to be encoded in the block
-            starting from the current position of the stream. Implementors should, if
-            possible, throw if it seems if the block contains a different number of
-            elements.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueWriter.Commit">
-            <summary>
-            Finishes writing to the stream. No further values should be written using the
-            <c>Write</c> methods. Note that failure to commit does not leave the stream in
-            a defined state: something or nothing could have already been written to the
-            stream, and the writer has no facilities to "rewind" whatever writes it may
-            have performed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueWriter.GetCommitLengthEstimate">
-            <summary>
-            Returns an estimate of the total length that would be written to the stream
-            were we to commit right now. This may be called very often in some circumstances,
-            so implementors should optimize for speed over accuracy.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.IValueWriter`1">
-             <summary>
-             A value writer on a particular type. The intent is that implementors of this will
-             be spawned from an <seealso cref="T:Microsoft.ML.Data.IO.IValueCodec"/>, its write methods called some
-             number of times to write to the stream, and then <c>Commit</c> will be called when
-             all values have been written, the stream now being at the end of the written block.
-            
-             The intended usage of the value writers is that blocks are composed of some small
-             number of values (perhaps a few thousand), the idea being that a block is something
-             that should easily fit in main memory, both for reading and writing. Some writers
-             take advantage of this to organize their values for more efficient reading.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueWriter`1.Write(`0@)">
-            <summary>
-            Writes a single value to the writer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueWriter`1.Write(System.ReadOnlySpan{`0})">
-            <summary>
-            Writes a span of values. This should be equivalent to writing each element
-            singly, though possibly more efficient than such a naive implementation.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.IValueReader`1">
-            <summary>
-            A value reader on a particular type. As with writers, implementors of this will be
-            spawned form an <seealso cref="T:Microsoft.ML.Data.IO.IValueCodec"/>. Its read methods will be called some
-            number of times to read from the stream. The read methods should be used to read
-            precisely the same number of times as was written to the block. if you read more,
-            then the values returned past the last will be undefined, and in either case the
-            stream will be left in an undefined state. Implementors may optionally complain in
-            such a case, but many will not, so outside knowledge should be used by the user
-            to ensure bad behavior does not happen. (For example, if you have a writer that
-            just writes packed binary values with no descriptive information, the corresponding
-            read will have no ability to tell when it is supposed to "end.")
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueReader`1.MoveNext">
-            <summary>
-            Moves to the next element.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueReader`1.Get(`0@)">
-            <summary>
-            Gets the current element.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.IValueReader`1.Read(`0[],System.Int32,System.Int32)">
-            <summary>
-            Reads into an array of values. This should be roughly equivalent to calling <c>MoveNext</c>
-            then <c>Get</c> into an array on each element singly, though possibly more efficient than
-            such a naive implementation. It may also diverge from that, in that <c>Get</c>'s behavior
-            before the next <c>MoveNext</c> is undefined when this function is called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.MemoryStreamCollection.IndexFor(System.Int32)">
-            <summary>
-            Given a byte size, returns an appropriate index to <see cref="F:Microsoft.ML.Data.IO.MemoryStreamCollection._pools"/>.
-            This is a non-decreasing function w.r.t. <paramref name="maxSize"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TextSaver.ValueWriter.WriteData(System.Action{System.Text.StringBuilder,System.Int32},System.Int32@)">
-            <summary>
-            Write the data to the given stream. This requires that FetchData was previously called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TextSaver.SeparatorCharToString(System.Char)">
-            <summary>
-            Returns the string representation of a separator: helpful if it's whitespace or a punctuation mark.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TextSaverUtils.MapText(System.ReadOnlySpan{System.Char},System.Text.StringBuilder@,System.Char)">
-            <summary>
-            Converts a ReadOnlySpan to a StringBuilder using TextSaver escaping and string quoting rules.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.TransposeLoader">
-            <summary>
-            The transposed loader reads the transposed binary format. This binary format, at a high level, is nothing more
-            than, for a dataview with "c" columns, "c+1" binary IDVs glued together. We call these sub-IDVs. The first of these,
-            the master sub-IDV stores the overall schema, and optionally the data in row-wise format.
-            </summary>
-            <seealso cref="T:Microsoft.ML.Data.IO.TransposeSaver"/>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.HeaderSize">
-            <summary>
-            The fixed header size. This should not be changed even in future versions of the format.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.SignatureValue">
-            <summary>
-            The header must start with this signature. This number will
-            appear as the eight-byte sequence "XPOSEDDV" if encoded in
-            little-endian. (XPOSEDDV is meant to suggest transposed DataView).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.TailSignatureValue">
-            <summary>
-            The file must end with this value. Is is simply the
-            byte-order-reversed version of the head signature.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.WriterVersion">
-            <summary>
-            The current version of the format this software can write.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.Signature">
-            <summary>
-            The magic number of this file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.Version">
-            <summary>
-            Indicates the version of the data file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.CompatibleVersion">
-            <summary>
-            Indicates the minimum reader version that can interpret this file, possibly
-            with some data loss.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.SubIdvTableOffset">
-            <summary>
-            The offset to the list of the directory of the sub-IDV structures.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.TailOffset">
-            <summary>
-            The eight-byte tail signature starts at this offset. So, the entire dataset
-            stream should be considered to have eight plus this value bytes.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.RowCount">
-            <summary>
-            The number of rows.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.Header.ColumnCount">
-            <summary>
-            The number of columns. There will be this + 1 entries in the sub-IDV table
-            offset structure.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry">
-            <summary>
-            A sub-IDV entry corresponds to an offset and length within the transposed file, that points
-            either to a block binary-IDV formatted data if the offset is positive, or indicates that there
-            is no corresponding IDV entry if the offset is zero.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.HasDataView">
-            <summary>
-            Is true when this sub-IDV appears to exist, without actually loading that sub-IDV.
-            If this returns true, <see cref="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.GetViewOrNull"/> will either return a non-null
-            value, or throw some sort of formatting error.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.#ctor(Microsoft.ML.Data.IO.TransposeLoader,System.IO.BinaryReader)">
-            <summary>
-            Reads the table of contents entry from the file, advancing the binary loader stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.#ctor(Microsoft.ML.Data.IO.TransposeLoader)">
-            <summary>
-            Constructs an empty table of contents entry, with no offset.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.GetViewOrNull">
-            <summary>
-            Gets the dataview corresponding to this sub-IDV entry. This will
-            lazily load the file, if it has not previously been requested. This
-            will return <c>null</c> if the offset is 0.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.VerifyView(Microsoft.ML.IDataView)">
-            <summary>
-            Called once, to verify that the lazily read dataview is "correct." Called by
-            <see cref="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.GetViewOrNull"/> once it has been read. Any problems with the data-view
-            should be handle with <see cref="M:Microsoft.ML.Runtime.Contracts.CheckDecode(System.Boolean)"/> or by throwing
-            <see cref="M:Microsoft.ML.Runtime.Contracts.ExceptDecode"/>, as we consider the views not adhering to
-            standards to be a file formatting issue. Note that this will never be called if
-            the offset field is zero.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.SchemaSubIdv">
-            <summary>
-            This is the entry corresponding to the first IDV entry in the file, which will hold
-            at least the schema information for all columns. There should be one of these per
-            file. Optionally, this file can also hold the row-wise data stored as well, in case
-            the user wanted to have the hybrid row/slotwise store. For this one, it is illegal
-            for the offset to be zero.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.TransposedSubIdv">
-            <summary>
-            This is the entry corresponding to the transposed columns. There will be one of
-            these per column, though some entries will not actually have a corresponding
-            dataview (for example, they will have an offset of 0) if the column was not one selected
-            for slot-wise transposition.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.SubIdvEntry.TransposedSubIdv.#ctor(Microsoft.ML.Data.IO.TransposeLoader,System.Int32)">
-            <summary>
-            Returns an empty sub-IDV entry for the no-file case.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.ReaderFirstVersion">
-            <summary>
-            Low inclusive bound of versions this reader can read.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.IO.TransposeLoader.ReaderVersion">
-            <summary>
-            Upper inclusive bound of versions this reader can read.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.IO.TransposeLoader.HasRowData">
-            <summary>
-            Whether the master schema sub-IDV has the actual data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.SaveSchema(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelSaveContext,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Save a zero-row dataview that will be used to infer schema information, used in the case
-            where the tranpsose loader is instantiated with no input streams.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.Cursor.Init(System.Int32)">
-            <summary>
-            Initializes the transpose cursors and getters for a column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeLoader.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.IO.TransposeSaver">
-            <summary>
-            Saver for a format that can be loaded using the <see cref="T:Microsoft.ML.Data.IO.TransposeLoader"/>.
-            </summary>
-            <seealso cref="T:Microsoft.ML.Data.IO.TransposeLoader"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.IO.TransposeSaver.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.IO.TransposeSaver.Arguments)">
-            <summary>
-            Constructs a saver for a data view.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CompositeDataLoader`2">
-            <summary>
-            This class represents a data loader that applies a transformer chain after loading.
-            It also has methods to save itself to a repository.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.CompositeDataLoader`2.Loader">
-            <summary>
-            The underlying data loader.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.CompositeDataLoader`2.Transformer">
-            <summary>
-            The chain of transformers (possibly empty) that are applied to data upon loading.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeDataLoader`2.Load(`0)">
-            <summary>
-            Produce the data view from the specified input.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeDataLoader`2.AppendTransformer``1(``0)">
-            <summary>
-            Append a new transformer to the end.
-            </summary>
-            <returns>The new composite data loader</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.CompositeLoaderEstimator`2">
-            <summary>
-            An estimator class for composite data loader.
-            It can be used to build a 'trainable smart data loader', although this pattern is not very common.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeLoaderEstimator`2.Append``1(Microsoft.ML.IEstimator{``0})">
-            <summary>
-            Create a new loader estimator, by appending another estimator to the end of this loader estimator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.GetOutputSchema">
-            <summary>
-            The output <see cref="T:Microsoft.ML.DataViewSchema"/> that will be produced by the loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Load(Microsoft.ML.Data.DatabaseSource)">
-            <summary>
-            Loads data from <paramref name="source"/> into an <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-            <param name="source">The source from which to load data.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.DatabaseLoader.Column">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Column.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Data.DatabaseLoader.Column"/> class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Column.#ctor(System.String,System.Data.DbType,System.Int32)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Data.DatabaseLoader.Column"/> class.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="dbType"><see cref="T:System.Data.DbType"/> of the items in the column.</param>
-            <param name="index">Index of the column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Column.#ctor(System.String,System.Data.DbType,System.Int32,System.Int32)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Data.DatabaseLoader.Column"/> class.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="dbType"><see cref="T:System.Data.DbType"/> of the items in the column.</param>
-            <param name="minIndex">The minimum inclusive index of the column.</param>
-            <param name="maxIndex">The maximum-inclusive index of the column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Column.#ctor(System.String,System.Data.DbType,Microsoft.ML.Data.DatabaseLoader.Range[],Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Data.DatabaseLoader.Column"/> class.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="dbType"><see cref="T:System.Data.DbType"/> of the items in the column.</param>
-            <param name="source">Source index range(s) of the column.</param>
-            <param name="keyCount">For a key column, this defines the range of values.</param>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Column.Name">
-            <summary>
-            Name of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Column.Type">
-            <summary>
-            <see cref="T:System.Data.DbType"/> of the items in the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Column.Source">
-            <summary>
-            Source index or name range(s) of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Column.KeyCount">
-            <summary>
-            For a key column, this defines the range of values.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DatabaseLoader.Range">
-            <summary>
-            Specifies the range of indices or names of input columns that should be mapped to an output column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Range.#ctor(System.Int32)">
-            <summary>
-            A range representing a single value. Will result in a scalar column.
-            </summary>
-            <param name="index">The index of the field of the table to read.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Range.#ctor(System.String)">
-            <summary>
-            A range representing a single value. Will result in a scalar column.
-            </summary>
-            <param name="name">The name of the field of the table to read.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Range.#ctor(System.Int32,System.Int32)">
-            <summary>
-            A range representing a set of values. Will result in a vector column.
-            </summary>
-            <param name="min">The minimum inclusive index of the column.</param>
-            <param name="max">The maximum-inclusive index of the column.</param>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Range.Min">
-            <summary>
-             The minimum index of the column, inclusive.
-            </summary>
-            <remarks>
-            This value is ignored if <see cref="F:Microsoft.ML.Data.DatabaseLoader.Range.Name" /> is not <c>null</c>.
-            </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Range.Max">
-            <summary>
-            The maximum index of the column, inclusive.
-            </summary>
-            <remarks>
-            This value is ignored if <see cref="F:Microsoft.ML.Data.DatabaseLoader.Range.Name" /> is not <c>null</c>.
-            </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Range.Name">
-            <summary>
-            The name of the input column.
-            </summary>
-            <remarks>
-            This value, if non-<c>null</c>, overrides <see cref="F:Microsoft.ML.Data.DatabaseLoader.Range.Min" /> and <see cref="F:Microsoft.ML.Data.DatabaseLoader.Range.Max" />.
-            </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Range.ForceVector">
-            <summary>
-            Force scalar columns to be treated as vectors of length one.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DatabaseLoader.Options">
-            <summary>
-            The settings for <see cref="T:Microsoft.ML.Data.DatabaseLoader"/>
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Options.Columns">
-            <summary>
-            Specifies the input columns that should be mapped to <see cref="T:Microsoft.ML.IDataView"/> columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DatabaseLoader.Segment">
-            <summary>
-            Used as an input column range.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DatabaseLoader.ColInfo">
-            <summary>
-            Information for an output column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DatabaseLoader.Bindings.Infos">
-            <summary>
-            <see cref="F:Microsoft.ML.Data.DatabaseLoader.Bindings.Infos"/>[i] stores the i-th column's name and type. Columns are loaded from the input database.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Bindings.ConstructKeyType(System.Data.DbType,Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Construct a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> out of the DbType and the keyCount.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseLoader.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.DatabaseSource">
-            <summary>Exposes the data required for opening a database for reading.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseSource.#ctor(System.Data.Common.DbProviderFactory,System.String,System.String)">
-            <summary>Creates a new instance of the <see cref="T:Microsoft.ML.Data.DatabaseSource" /> class.</summary>
-            <param name="providerFactory">The factory used to create the <see cref="T:System.Data.Common.DbConnection"/>..</param>
-            <param name="connectionString">The string used to open the connection.</param>
-            <param name="commandText">The text command to run against the data source.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DatabaseSource.#ctor(System.Data.Common.DbProviderFactory,System.String,System.String,System.Int32)">
-            <summary>Creates a new instance of the <see cref="T:Microsoft.ML.Data.DatabaseSource" /> class.</summary>
-            <param name="providerFactory">The factory used to create the <see cref="T:System.Data.Common.DbConnection"/>..</param>
-            <param name="connectionString">The string used to open the connection.</param>
-            <param name="commandText">The text command to run against the data source.</param>
-            <param name="commandTimeoutInSeconds">The timeout(in seconds) for database command.</param>
-        </member>
-        <member name="P:Microsoft.ML.Data.DatabaseSource.CommandTimeoutInSeconds">
-            <summary>Gets the timeout for database command.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DatabaseSource.CommandText">
-            <summary>Gets the text command to run against the data source.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DatabaseSource.ConnectionString">
-            <summary>Gets the string used to open the connection.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DatabaseSource.ProviderFactory">
-            <summary>Gets the factory used to create the <see cref="T:System.Data.Common.DbConnection"/>.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DbExtensions.ToType(System.Data.DbType)">
-            <summary>
-            Maps a <see cref="T:System.Data.DbType"/> to the associated .Net representation type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DbExtensions.ToDbType(Microsoft.ML.Data.InternalDataKind)">
-            <summary>Maps a <see cref="T:Microsoft.ML.Data.InternalDataKind"/> to the associated <see cref="T:System.Data.DbType"/>.</summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LoadColumnNameAttribute">
-            <summary>
-            Allow member to specify mapping to field(s) in database.
-            To override name of <see cref="T:Microsoft.ML.IDataView"/> column use <see cref="T:Microsoft.ML.Data.ColumnNameAttribute"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoadColumnNameAttribute.#ctor(System.String)">
-            <summary>
-            Maps member to specific field in database.
-            </summary>
-            <param name="fieldName">The name of the field in the database.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoadColumnNameAttribute.#ctor(System.String[])">
-            <summary>
-            Maps member to set of fields in database.
-            </summary>
-            <param name="fieldNames">Distinct database field names to load as part of this column.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.EstimatorChain`1">
-            <summary>
-            Represents a chain (potentially empty) of estimators that end with a <typeparamref name="TLastTransformer"/>.
-            If the chain is empty, <typeparamref name="TLastTransformer"/> is always <see cref="T:Microsoft.ML.ITransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EstimatorChain`1.#ctor">
-            <summary>
-            Create an empty estimator chain.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EstimatorChain`1.AppendCacheCheckpoint(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Append a 'caching checkpoint' to the estimator chain. This will ensure that the downstream estimators will be trained against
-            cached data. It is helpful to have a caching checkpoint before trainers or feature engineering that take multiple data passes.
-            It is also helpful to have after a slow operation, for example after dataset loading from a slow source or after feature
-            engineering that is slow on its apply phase, if downstream estimators will do multiple passes over the output of this operation.
-            Adding a cache checkpoint at the begin or end of an <see cref="T:Microsoft.ML.Data.EstimatorChain`1"/> is meaningless and should be avoided.
-            Cache checkpoints should be removed if disk thrashing or OutOfMemory exceptions are seen, which can occur on when the featured
-            dataset immediately prior to the checkpoint is larger than available RAM.
-            </summary>
-            <param name="env">The host environment to use for caching.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataLoadSave.FakeSchemaFactory">
-            <summary>
-            A fake schema that is manufactured out of a SchemaShape.
-            It will pretend that all vector sizes are equal to 10, all key value counts are equal to 10,
-            and all values are defaults (for annotations).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LegacyCompositeDataLoader">
-            <summary>
-            A data loader that wraps an underlying loader plus a sequence of transforms.
-            It is not valid to have nested <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>'s: if a <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>
-            is an underlying loader, the resulting loader will 'flatten' the structure.
-            The family of <c>Create</c> methods only instantiate <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>'s
-            when there are transforms to keep, otherwise they just return underlying loaders.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.LegacyCompositeDataLoader.View">
-            <summary>
-            Returns the underlying data view of the composite loader.
-            This can be used to programmatically explore the chain of transforms that's inside the composite loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.LegacyCompositeDataLoader.Arguments,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Creates a loader according to the specified <paramref name="args"/>.
-            If there are transforms, then the result will be a <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>,
-            otherwise, it'll be whatever <see cref="T:Microsoft.ML.Data.ILegacyDataLoader"/> is specified in <c>args.loader</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ILegacyDataLoader,System.Collections.Generic.KeyValuePair{System.String,Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.IDataView,Microsoft.ML.Data.IDataTransform}}[])">
-            <summary>
-            Creates a <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/> that starts with the <paramref name="srcLoader"/>,
-            and follows with transforms created from the <paramref name="transformArgs"/> array.
-            If there are no transforms, the <paramref name="srcLoader"/> is returned.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.ApplyTransforms(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ILegacyDataLoader,System.Collections.Generic.KeyValuePair{System.String,System.String}[],System.Func{Microsoft.ML.Runtime.IHostEnvironment,System.Int32,Microsoft.ML.IDataView,Microsoft.ML.IDataView})">
-            <summary>
-            Appends transforms to the <paramref name="srcLoader"/> and returns a loader that contains these new transforms.
-            If there are no transforms to append, returns <paramref name="srcLoader"/> intact, otherwise creates a
-            <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>. The transforms are created by sequentially invoking the provided lambda,
-            one time for each element of <paramref name="tagData"/>.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="srcLoader">The source loader.</param>
-            <param name="tagData">The array of (tag, creationInfo) pairs. Can be an empty array or null, in which case
-            the function returns <paramref name="srcLoader"/>.</param>
-            <param name="createTransform">The delegate to invoke at each transform creation.
-            Delegate parameters are: host environment, transform index (0 to <c>tagData.Length</c>), source data view.
-            It should return the <see cref="T:Microsoft.ML.IDataView"/> that should share the same loader as the source data view.</param>
-            <returns>The resulting data loader.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.ApplyTransform(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ILegacyDataLoader,System.String,System.String,System.Func{Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.IDataView})">
-            <summary>
-            Apply one transform to the data loader, and returns a (composite) data loader that contains the result.
-            The transform is created by invoking the lambda for a data source, and it should return an
-            <see cref="T:Microsoft.ML.IDataView"/> that shares the same loader as the provided source.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Loads the entire composite data loader (loader + transforms) from the context.
-            If there are no transforms, the underlying loader is returned.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.Data.ILegacyDataLoader,System.Func{System.String,System.Boolean})">
-            <summary>
-            Creates a <see cref="T:Microsoft.ML.Data.ILegacyDataLoader"/> from the specified source loader, followed by
-            the transforms that are loaded from the <paramref name="ctx"/>, tags filtered by
-            by the <paramref name="isTransformTagAccepted"/>.
-            If the <paramref name="ctx"/> contains no accepted transforms, the <paramref name="srcLoader"/> is
-            returned intact.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.LoadSelectedTransforms(Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView,Microsoft.ML.Runtime.IHostEnvironment,System.Func{System.String,System.Boolean})">
-            <summary>
-            Loads all transforms from the <paramref name="ctx"/> that pass the <paramref name="isTransformTagAccepted"/> test,
-            applies them sequentially to the <paramref name="srcView"/>, and returns the resulting data view.
-            If there are no transforms in <paramref name="ctx"/> that are accepted, returns the original <paramref name="srcView"/>.
-            The difference from the <c>Create</c> method above is that:
-            - it doesn't wrap the results into a loader, just returns the last transform in the chain.
-            - it accepts <see cref="T:Microsoft.ML.IDataView"/> as input, not necessarily a loader.
-            - it throws away the tag information.
-            - it doesn't throw if the context is not representing a <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>: in this case it's assumed that no transforms
-              meet the test, and the <paramref name="srcView"/> is returned.
-            Essentially, this is a helper method for the LoadTransform class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.LoadTransforms(Microsoft.ML.ModelLoadContext,Microsoft.ML.Data.ILegacyDataLoader,Microsoft.ML.Runtime.IHost,System.Func{System.String,System.Boolean})">
-            <summary>
-            Loads all transforms from the <paramref name="ctx"/> that pass the <paramref name="isTransformTagAccepted"/> test,
-            applies them sequentially to the <paramref name="srcLoader"/>, and returns the (composite) data loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LegacyCompositeDataLoader.SavePipe(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelSaveContext,System.Action{Microsoft.ML.ModelSaveContext},System.Collections.Generic.IList{Microsoft.ML.Data.IDataTransform})">
-            <summary>
-            Save the loader and transforms (if any) to the repository.
-            This is intended to be used by API, where the components are not part of the same
-            <see cref="T:Microsoft.ML.Data.LegacyCompositeDataLoader"/>.
-            </summary>
-            <param name="env">Environment context</param>
-            <param name="ctx">The context to write to.</param>
-            <param name="loaderSaveAction">The code to save the loader.</param>
-            <param name="transforms">The transforms. Empty list and null are both allowed.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.MultiFileSource">
-            <summary>
-            Wraps a potentially compound path as an IMultiStreamSource.
-            </summary>
-            <remarks>Expands wild cards and supports multiple paths separated by +, or loads all the files of a subfolder,
-            if the syntax for the path is 'FolderPath/...' (separator would be OS relevant).
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.MultiFileSource.#ctor(System.String[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Data.MultiFileSource"/>.
-            In case of usage from Maml, the paths would be wildcard concatenated in the first string of <paramref name="paths"/>.
-            </summary>
-            <param name="paths">The paths of the files to load.</param>
-            <remarks>
-            The provided <paramref name="paths"/> can utilize wildcards to load all source files. For example:
-            paths = "Data/*" includes all files in directory Data
-            paths = "DataFolder/.../*" includes all files in all subdirectories inside directory Data.
-            paths = "Data1/*", "Data2/*" includes all files in directories Data1 and Data2
-            </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.FileHandleSource">
-            <summary>
-            Wraps an <see cref="T:Microsoft.ML.Data.IFileHandle"/> as an IMultiStreamSource.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.BlockingQueue`1">
-            <summary>Provides a thread-safe queue that supports blocking takes when empty and blocking adds when full.</summary>
-            <typeparam name="T">Specifies the type of data contained.</typeparam>
-        </member>
-        <member name="F:Microsoft.ML.Data.BlockingQueue`1._queue">
-            <summary>The underlying queue storing all elements.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.BlockingQueue`1._itemsAvailable">
-            <summary>A semaphore that can be waited on to know when an item is available for taking.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.BlockingQueue`1._spaceAvailable">
-            <summary>A semaphore that can be waited on to know when space is available for adding.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.#ctor(System.Int32)">
-            <summary>Initializes the blocking queue.</summary>
-            <param name="boundedCapacity">The maximum number of items the queue may contain.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.Dispose">
-            <summary>Cleans up all resources used by the blocking collection.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.TryAdd(`0,System.Int32)">
-            <summary>Adds an item to the blocking collection.</summary>
-            <param name="item">The item to add.</param>
-            <param name="millisecondsTimeout">The time to wait, in milliseconds, or -1 to wait indefinitely.</param>
-            <returns>
-            true if the item was successfully added; false if the timeout expired or if the collection were marked
-            as complete for adding before the item could be added.
-            </returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.TryTake(`0@,System.Int32)">
-            <summary>Tries to take an item from the blocking collection.</summary>
-            <param name="item">The item removed, or default if none could be taken.</param>
-            <param name="millisecondsTimeout">The time to wait, in milliseconds, or -1 to wait indefinitely.</param>
-            <returns>
-            true if the item was successfully taken; false if the timeout expired or if the collection is empty
-            and has been marked as complete for adding.
-            </returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.GetConsumingEnumerable">
-            <summary>
-            Gets an enumerable for taking all items out of the collection until
-            the collection has been marked as complete for adding and is empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.CompleteAdding">
-            <summary>Mark the collection as complete for adding.</summary>
-            <remarks>After this is called, no calls made on this queue will block.</remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore">
-            <summary>
-            A basic monitor-based semaphore that, in addition to standard Wait/Release semantics,
-            also supports marking the semaphore as completed, in which case all waiters immediately
-            fail if there's no count remaining.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore._count">
-            <summary>The remaining count in the semaphore.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore._waiters">
-            <summary>The number of threads currently waiting in Wait.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore.#ctor(System.Int32)">
-            <summary>Initializes the semaphore with the specified initial count.</summary>
-            <param name="initialCount">The initial count.</param>
-        </member>
-        <member name="P:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore.Completed">
-            <summary>Gets whether the semaphore has been marked as completed.</summary>
-            <remarks>
-            If completed, no calls to Wait will block; if no count remains, regardless of timeout, Waits will
-            return immediately with a result of false.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore.Release">
-            <summary>Releases the semaphore once.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore.Wait(System.Int32)">
-            <summary>Blocks the current thread until it can enter the semaphore once.</summary>
-            <param name="millisecondsTimeout">The maximum amount of time to wait to enter the semaphore, or -1 to wait indefinitely.</param>
-            <returns>true if the semaphore was entered; otherwise, false.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.BlockingQueue`1.CompletableSemaphore.Complete">
-            <summary>Marks the semaphore as completed, such that no further operations will block.</summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LoadColumnAttribute">
-            <summary>
-            Allow member to specify mapping to field(s) in text file.
-            To override name of <see cref="T:Microsoft.ML.IDataView"/> column use <see cref="T:Microsoft.ML.Data.ColumnNameAttribute"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoadColumnAttribute.#ctor(System.Int32)">
-            <summary>
-            Maps member to specific field in text file.
-            </summary>
-            <param name="fieldIndex">The index of the field in the text file.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoadColumnAttribute.#ctor(System.Int32,System.Int32)">
-            <summary>
-            Maps member to range of fields in text file.
-            </summary>
-            <param name="start">The starting field index, for the range.</param>
-            <param name="end">The ending field index, for the range.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.LoadColumnAttribute.#ctor(System.Int32[])">
-            <summary>
-            Maps member to set of fields in text file.
-            </summary>
-            <param name="columnIndexes">Distinct text file field indices to load as part of this column.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader">
-            <summary>
-            Loads a text file into an IDataView. Supports basic mapping from input columns to <see cref="T:Microsoft.ML.IDataView"/> columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.Column">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Column.#ctor">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Column.#ctor(System.String,Microsoft.ML.Data.DataKind,System.Int32)">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="dataKind"><see cref="T:Microsoft.ML.Data.DataKind"/> of the items in the column.</param>
-            <param name="index">Index of the column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Column.#ctor(System.String,Microsoft.ML.Data.DataKind,System.Int32,System.Int32)">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="dataKind"><see cref="T:Microsoft.ML.Data.DataKind"/> of the items in the column.</param>
-            <param name="minIndex">The minimum inclusive index of the column.</param>
-            <param name="maxIndex">The maximum-inclusive index of the column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Column.#ctor(System.String,Microsoft.ML.Data.DataKind,Microsoft.ML.Data.TextLoader.Range[],Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="dataKind"><see cref="T:Microsoft.ML.Data.DataKind"/> of the items in the column.</param>
-            <param name="source">Source index range(s) of the column.</param>
-            <param name="keyCount">For a key column, this defines the range of values.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Column.#ctor(System.String,Microsoft.ML.Data.InternalDataKind,Microsoft.ML.Data.TextLoader.Range[],Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Describes how an input column should be mapped to an <see cref="T:Microsoft.ML.IDataView"/> column.
-            </summary>
-            <param name="name">Name of the column.</param>
-            <param name="kind"><see cref="T:Microsoft.ML.Data.InternalDataKind"/> of the items in the column.</param>
-            <param name="source">Source index range(s) of the column.</param>
-            <param name="keyCount">For a key column, this defines the range of values.</param>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Column.Name">
-            <summary>
-            Name of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Column.Type">
-            <summary>
-            <see cref="T:Microsoft.ML.Data.InternalDataKind"/> of the items in the column. It defaults to float.
-            Although <see cref="T:Microsoft.ML.Data.InternalDataKind"/> is internal, <see cref="F:Microsoft.ML.Data.TextLoader.Column.Type"/>'s information can be publicly accessed by <see cref="P:Microsoft.ML.Data.TextLoader.Column.DataKind"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.TextLoader.Column.DataKind">
-            <summary>
-            <see cref="T:Microsoft.ML.Data.DataKind"/> of the items in the column.
-            </summary>
-            It's a public interface to access the information in an internal DataKind.
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Column.Source">
-            <summary>
-            Source index range(s) of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Column.KeyCount">
-            <summary>
-            For a key column, this defines the range of values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Column.IsValid">
-            <summary>
-             Returns <c>true</c> iff the ranges are disjoint, and each range satisfies 0 &lt;= min &lt;= max.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.Range">
-            <summary>
-            Specifies the range of indices of input columns that should be mapped to an output column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Range.#ctor(System.Int32)">
-            <summary>
-            A range representing a single value. Will result in a scalar column.
-            </summary>
-            <param name="index">The index of the field of the text file to read.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Range.#ctor(System.Int32,System.Nullable{System.Int32})">
-            <summary>
-            A range representing a set of values. Will result in a vector column.
-            </summary>
-            <param name="min">The minimum inclusive index of the column.</param>
-            <param name="max">The maximum-inclusive index of the column. If <c>null</c>
-            indicates that the <see cref="T:Microsoft.ML.Data.TextLoader"/> should auto-detect the legnth
-            of the lines, and read until the end.</param>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Range.Min">
-            <summary>
-             The minimum index of the column, inclusive.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Range.Max">
-            <summary>
-            The maximum index of the column, inclusive. If <see langword="null"/>
-            indicates that the <see cref="T:Microsoft.ML.Data.TextLoader"/> should auto-detect the legnth
-            of the lines, and read until the end.
-            If max is specified, the fields <see cref="F:Microsoft.ML.Data.TextLoader.Range.AutoEnd"/> and <see cref="F:Microsoft.ML.Data.TextLoader.Range.VariableEnd"/> are ignored.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Range.AutoEnd">
-            <summary>
-            Whether this range extends to the end of the line, but should be a fixed number of items.
-            If <see cref="F:Microsoft.ML.Data.TextLoader.Range.Max"/> is specified, the fields <see cref="F:Microsoft.ML.Data.TextLoader.Range.AutoEnd"/> and <see cref="F:Microsoft.ML.Data.TextLoader.Range.VariableEnd"/> are ignored.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Range.VariableEnd">
-            <summary>
-            Whether this range extends to the end of the line, which can vary from line to line.
-            If <see cref="F:Microsoft.ML.Data.TextLoader.Range.Max"/> is specified, the fields <see cref="F:Microsoft.ML.Data.TextLoader.Range.AutoEnd"/> and <see cref="F:Microsoft.ML.Data.TextLoader.Range.VariableEnd"/> are ignored.
-            If <see cref="F:Microsoft.ML.Data.TextLoader.Range.AutoEnd"/> is <see langword="true"/>, then <see cref="F:Microsoft.ML.Data.TextLoader.Range.VariableEnd"/> is ignored.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Range.AllOther">
-            <summary>
-            Whether this range includes only other indices not specified.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Range.ForceVector">
-            <summary>
-            Force scalar columns to be treated as vectors of length one.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.Options">
-            <summary>
-            The settings for <see cref="T:Microsoft.ML.Data.TextLoader"/>
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.AllowQuoting">
-            <summary>
-            Whether the input may include double-quoted values. This parameter is used to distinguish separator characters
-            in an input value from actual separators. When <see langword="true"/>, separators within double quotes are treated as part of the
-            input value. When <see langword="false"/>, all separators, even those within quotes, are treated as delimiting a new column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.AllowSparse">
-             <summary>
-             Whether the input may include sparse representations. For example, a row containing
-             "5 2:6 4:3" means that there are 5 columns, and the only non-zero are columns 2 and 4, which have values 6 and 3,
-             respectively. Column indices are zero-based, so columns 2 and 4 represent the 3rd and 5th columns.
-             A column may also have dense values followed by sparse values represented in this fashion. For example,
-             a row containing "1 2 5 2:6 4:3" represents two dense columns with values 1 and 2, followed by 5 sparsely represented
-             columns with values 0, 0, 6, 0, and 3. The indices of the sparse columns start from 0, even though 0 represents the third column.
-            
-             In addition, <see cref="F:Microsoft.ML.Data.TextLoader.Options.InputSize"/> should be used when the number of sparse elements (5 in this example) is not present in each line.
-             It should specify the total size, not just the size of the sparse part. However, indices of the spars part are relative to where the sparse part begins.
-             If <see cref="F:Microsoft.ML.Data.TextLoader.Options.InputSize"/> is set to 7, the line "1 2 2:6 4:3" will be mapped to "1 2 0 0 6 0 4", but if set to 10, the same line will
-             be mapped to "1 2 0 0 6 0 4 0 0 0".
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.InputSize">
-            <summary>
-            Number of source columns in the text data. Default is that sparse rows contain their size information.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.Separators">
-            <summary>
-            The characters that should be used as separators column separator.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.DecimalMarker">
-            <summary>
-            The character that should be used as the decimal marker. Default value is '.'. Only '.' and ',' are allowed to be decimal markers.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.Columns">
-            <summary>
-            Specifies the input columns that should be mapped to <see cref="T:Microsoft.ML.IDataView"/> columns.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.TrimWhitespace">
-            <summary>
-            Wheter to remove trailing whitespace from lines.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.HasHeader">
-            <summary>
-            Whether the file has a header with feature names. When <see langword="true"/>, the loader will skip the first line when
-            <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called. The sample can be used to infer slot name annotations if present.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.UseThreads">
-            <summary>
-            Whether to use separate parsing threads.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.ReadMultilines">
-            <summary>
-            If true, new line characters are acceptable inside a quoted field, and thus one field can have multiple lines of text inside it
-            If <see cref="F:Microsoft.ML.Data.TextLoader.Options.AllowQuoting"/> is false, this option is ignored.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.HeaderFile">
-            <summary>
-            File containing a header with feature names. If specified, the header defined in the data file is ignored regardless of <see cref="F:Microsoft.ML.Data.TextLoader.Options.HasHeader"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.MaxRows">
-            <summary>
-            Maximum number of rows to produce.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.EscapeChar">
-            <summary>
-            Character to use to escape quotes inside quoted fields. It can't be a character used as separator.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Options.MissingRealsAsNaNs">
-            <summary>
-            If true, missing real fields (i.e. double or single fields) will be loaded as NaN.
-            If false, they'll be loaded as 0. Default is false.
-            A field is considered "missing" if it's empty, if it only has whitespace, or if there are missing columns
-            at the end of a given row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Options.IsValid">
-            <summary>
-            Checks that all column specifications are valid (that is, ranges are disjoint and have min&lt;=max).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.Segment">
-            <summary>
-            Used as an input column range.
-            A variable length segment (extending to the end of the input line) is represented by Lim == SrcLim.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Segment.#ctor(System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Be careful with this ctor. lim == SrcLim means that this segment extends to
-            the end of the input line. If that is not the intent, pass in Min(lim, SrcLim - 1).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Segment.#ctor(System.Int32)">
-            <summary>
-            Defines a segment that extends from min to the end of input.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.ColInfo">
-            <summary>
-            Information for an output column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Bindings.Infos">
-            <summary>
-            <see cref="F:Microsoft.ML.Data.TextLoader.Bindings.Infos"/>[i] stores the i-th column's name and type. Columns are loaded from the input text file.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Bindings._slotNames">
-            <summary>
-            <see cref="F:Microsoft.ML.Data.TextLoader.Bindings.Infos"/>[i] stores the i-th column's metadata, named <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.SlotNames"/>
-            in <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.Bindings._header">
-            <summary>
-            Empty if <see cref="F:Microsoft.ML.Data.TextLoader.Options.HasHeader"/> is <see langword="false"/>, no header presents, or upon load
-            there was no header stored in the model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.OptionFlags">
-            <summary>
-            Option flags. These values are serialized, so changing the values requires
-            bumping the version number.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.TextLoader.Options,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Loads a text file into an <see cref="T:Microsoft.ML.IDataView"/>. Supports basic mapping from input columns to IDataView columns.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="options">Defines the settings of the load operation.</param>
-            <param name="dataSample">Allows to expose items that can be used for loading.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.TryParseSchema(Microsoft.ML.Runtime.IHost,Microsoft.ML.Data.IMultiStreamSource,Microsoft.ML.Data.TextLoader.Options@,Microsoft.ML.Data.TextLoader.Column[]@,System.Boolean@)">
-            <summary>
-            See if we can extract valid arguments from the first data file. If so, update options and set cols to the combined set of columns.
-            If not, set error to true if there was an error condition.
-            </summary>
-            <remarks>
-            Not all arguments are extracted from the data file. There are three arguments that can vary from iteration to iteration and that are set
-            directly by the user in the options class. These three arguments are:
-            <see cref="F:Microsoft.ML.Data.TextLoader.Options.UseThreads"/>,
-            <see cref="F:Microsoft.ML.Data.TextLoader.Options.HeaderFile"/>,
-            <see cref="F:Microsoft.ML.Data.TextLoader.Options.MaxRows"/>
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.FileContainsValidSchema(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.IMultiStreamSource,Microsoft.ML.Data.TextLoader.Options@)">
-            <summary>
-            Checks whether the source contains the valid TextLoader.Options depiction.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.LoadFile(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.TextLoader.Options,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Convenience method to create a <see cref="T:Microsoft.ML.Data.TextLoader"/> and use it to load a specified file.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.GetOutputSchema">
-            <summary>
-            The output <see cref="T:Microsoft.ML.DataViewSchema"/> that will be produced by the loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Loads data from <paramref name="source"/> into an <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-            <param name="source">The source from which to load data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Load](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/LoadingText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Cursor.GetEmbeddedArgs(Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Look in the first file for args embedded as comments. This gathers comments
-            that come before any data line that start with #@.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.ValueCreatorCache">
-            <summary>
-            This type exists to provide efficient delegates for creating a ColumnValue specific to a DataKind.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.ParseStats">
-            <summary>
-            Basic statistics and reporting of unparsable stuff.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.RowSet.#ctor(Microsoft.ML.Data.TextLoader.ParseStats,System.Int32,System.Int32)">
-            <summary>
-            Takes the number of blocks, number of rows per block, and number of columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.ScanInfo">
-            <summary>
-            This is info tracked while scanning a line to find "fields". For each line, the first
-            several values, Path, Line, LineText, IchMinText, and IchLimText, are unchanging, but the
-            remaining values are updated for each field processed.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.Path">
-            <summary>
-            Path for the input file containing the given line (may be null).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.Line">
-            <summary>
-            Line number.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.TextBuf">
-            <summary>
-            The current text for the entire line (all fields), and possibly more.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.IchMinBuf">
-            <summary>
-            The min position in <see cref="F:Microsoft.ML.Data.TextLoader.ScanInfo.TextBuf"/> to consider (all fields).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.IchLimBuf">
-            <summary>
-            The lim position in <see cref="F:Microsoft.ML.Data.TextLoader.ScanInfo.TextBuf"/> to consider (all fields).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.IchMinNext">
-            <summary>
-            Where to start for the next field. This is both an input and
-            output to the code that fetches the next field.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.Span">
-            <summary>
-            The (unquoted) text of the field.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.QuotingError">
-            <summary>
-            Whether there was a quoting error in the field.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.Index">
-            <summary>
-            For sparse encoding, this is the index of the field. Otherwise, -1.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.IchMin">
-            <summary>
-            The start character location in <see cref="F:Microsoft.ML.Data.TextLoader.ScanInfo.TextBuf"/>, including the sparse index
-            and quoting, if present. Used for logging.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.TextLoader.ScanInfo.IchLim">
-            <summary>
-            The end character location in <see cref="F:Microsoft.ML.Data.TextLoader.ScanInfo.TextBuf"/>, including the sparse index
-            and quoting, if present. Used for logging.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.ScanInfo.#ctor(System.ReadOnlyMemory{System.Char}@,System.String,System.Int64)">
-            <summary>
-            Initializes the ScanInfo.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.Parser.FieldSet">
-            <summary>
-            This holds a set of raw text fields. This is the input into the parsing
-            of the individual typed values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Parser.FieldSet.EnsureSpace">
-            <summary>
-            Make sure there is enough space to add one more item.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Parser.TrimEndWhiteSpace(System.ReadOnlyMemory{System.Char},System.ReadOnlySpan{System.Char})">
-            <summary>
-            Returns a <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> with trailing whitespace trimmed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextLoader.Parser.Helper">
-            <summary>
-            This is an abstraction containing all the useful stuff for splitting a raw line of text
-            into a FieldSet. A cursor has one of these that it passes in whenever it wants a line
-            parsed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Parser.HelperImpl.IsSep(System.Char)">
-            <summary>
-            Check if the given char is a separator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TextLoader.Parser.HelperImpl.GatherFields(System.ReadOnlyMemory{System.Char},System.ReadOnlySpan{System.Char},System.String,System.Int64)">
-            <summary>
-            Process the line of text into fields, stored in the Fields field. Ensures that sparse
-            don't precede non-sparse. Returns the lim of the src columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TransformerScope">
-            <summary>
-            This enum allows for 'tagging' the estimators (and subsequently transformers) in the chain to be used
-            'only for training', 'for training and evaluation' etc.
-            Most notable example is, transformations over the label column should not be used for scoring, so the scope
-            should be <see cref="F:Microsoft.ML.Data.TransformerScope.Training"/> or <see cref="F:Microsoft.ML.Data.TransformerScope.TrainTest"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ITransformerChainAccessor">
-            <summary>
-            Used to determine if <see cref="T:Microsoft.ML.ITransformer"/> object is of type <see cref="T:Microsoft.ML.Data.TransformerChain"/>
-            so that its internal fields can be accessed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TransformerChain`1">
-            <summary>
-            A chain of transformers (possibly empty) that end with a <typeparamref name="TLastTransformer"/>.
-            For an empty chain, <typeparamref name="TLastTransformer"/> is always <see cref="T:Microsoft.ML.ITransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransformerChain`1.#ctor(System.Collections.Generic.IEnumerable{Microsoft.ML.ITransformer},System.Collections.Generic.IEnumerable{Microsoft.ML.Data.TransformerScope})">
-            <summary>
-            Create a transformer chain by specifying transformers and their scopes.
-            </summary>
-            <param name="transformers">Transformers to be chained.</param>
-            <param name="scopes">Transformer scopes, parallel to <paramref name="transformers"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransformerChain`1.#ctor(Microsoft.ML.ITransformer[])">
-            <summary>
-            Create a transformer chain by specifying all the transformers. The scopes are assumed to be
-            <see cref="F:Microsoft.ML.Data.TransformerScope.Everything"/>.
-            </summary>
-            <param name="transformers"></param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransformerChain`1.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            The loading constructor of transformer chain. Reverse of <see cref="M:Microsoft.ML.ICanSaveModel.Save(Microsoft.ML.ModelSaveContext)"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TransformerChain">
-            <summary>
-            Saving/loading routines for transformer chains.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransformerChain.SaveTo(Microsoft.ML.ITransformer,Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Save any transformer to a stream by wrapping it into a transformer chain.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TransformWrapper">
-            <summary>
-            This is a shim class to present the legacy <see cref="T:Microsoft.ML.Data.IDataTransform"/> interface as an <see cref="T:Microsoft.ML.ITransformer"/>.
-            Note that there are some important differences in usages that make this shimming somewhat non-seamless, so the goal
-            would be gradual removal of this as we do away with <see cref="T:Microsoft.ML.Data.IDataTransform"/> based code.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TrainedWrapperEstimatorBase">
-            <summary>
-            Estimator for trained wrapped transformers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TrivialEstimator`1">
-             <summary>
-             The trivial implementation of <see cref="T:Microsoft.ML.IEstimator`1"/> that already has
-             the transformer and returns it on every call to <see cref="M:Microsoft.ML.Data.TrivialEstimator`1.Fit(Microsoft.ML.IDataView)"/>.
-            
-             Concrete implementations still have to provide the schema propagation mechanism, since
-             there is no easy way to infer it from the transformer.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TrivialLoaderEstimator`2">
-            <summary>
-            The trivial wrapper for a <see cref="T:Microsoft.ML.IDataLoader`1"/> that acts as an estimator and ignores the source.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AppendRowsDataView">
-             <summary>
-             This class provides the functionality to combine multiple IDataView objects which share the same schema
-             All sources must contain the same number of columns and their column names, sizes, and item types must match.
-             The row count of the resulting IDataView will be the sum over that of each individual.
-            
-             An AppendRowsDataView instance is shuffleable iff all of its sources are shuffleable and their row counts are known.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AppendRowsDataView.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewSchema,Microsoft.ML.IDataView[])">
-             <summary>
-             Create a dataview by appending the rows of the sources.
-            
-             All sources must be consistent with the passed-in schema in the number of columns, column names,
-             and column types. If schema is null, the first source's schema will be used.
-             </summary>
-             <param name="env">The host environment.</param>
-             <param name="schema">The schema for the result. If this is null, the first source's schema will be used.</param>
-             <param name="sources">The sources to be appended.</param>
-             <returns>The resulting IDataView.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.AppendRowsDataView.CursorBase.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AppendRowsDataView.Cursor">
-            <summary>
-            The deterministic cursor. It will scan through the sources sequentially.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AppendRowsDataView.RandCursor">
-            <summary>
-             A RandCursor will ask each subordinate cursor to shuffle itself.
-            Then, at each step, it randomly calls a subordinate to move next with probability (roughly) proportional to
-            the number of the subordinate's remaining rows.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AppendRowsDataView.MultinomialWithoutReplacementSampler">
-             <summary>
-             Given k classes with counts (N_0, N_2, N_3, ...,  N_{k-1}), the goal of this sampler is to select the i-th
-             class with probability N_i/M, where M = N_0 + N_1 + ... + N_{k-1}.
-             Once the i-th class is selected, its count will be updated to N_i - 1.
-            
-             For efficiency consideration, the sampling distribution is only an approximation of the desired distribution.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ArrayDataViewBuilder">
-            <summary>
-            This is a class for composing an in memory IDataView.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.CheckLength``1(System.String,``0[])">
-            <summary>
-            Verifies that the input array to one of the add routines is of the same length
-            as previously added arrays, assuming there were any.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.Data.PrimitiveDataViewType,``0[])">
-            <summary>
-            Constructs a new column from an array where values are copied to output simply
-            by being assigned. Output values are returned simply by being assigned, so the
-            type <typeparamref name="T"/> should be a type where assigning to a different
-            value does not compromise the immutability of the source object (so, for example,
-            a scalar, string, or <c>ReadOnlyMemory</c> would be perfectly acceptable, but a
-            <c>HashSet</c> or <c>VBuffer</c> would not be).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}},System.UInt64,``0[])">
-            <summary>
-            Constructs a new key column from an array where values are copied to output simply
-            by being assigned.
-            </summary>
-            <param name="name">The name of the column.</param>
-            <param name="getKeyValues">The delegate that does a reverse lookup based upon the given key. This is for annotation creation</param>
-            <param name="keyCount">The count of unique keys specified in values</param>
-            <param name="values">The values to add to the column. Note that since this is creating a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> column, the values will be offset by 1.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}},Microsoft.ML.Data.PrimitiveDataViewType,``0[][])">
-            <summary>
-            Creates a column with slot names from arrays. The added column will be re-interpreted as a buffer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.Data.PrimitiveDataViewType,``0[][])">
-            <summary>
-            Creates a column from arrays. The added column will be re-interpreted as a buffer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}},Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.Data.Combiner{``0},``0[][])">
-            <summary>
-            Creates a column with slot names from arrays. The added column will be re-interpreted as a buffer and possibly sparsified.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.Data.Combiner{``0},``0[][])">
-            <summary>
-            Creates a column from arrays. The added column will be re-interpreted as a buffer and possibly sparsified.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.Data.VBuffer{``0}[])">
-            <summary>
-            Adds a VBuffer{T} valued column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn``1(System.String,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}},Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.Data.VBuffer{``0}[])">
-            <summary>
-            Adds a VBuffer{T} valued column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.AddColumn(System.String,System.String[])">
-            <summary>
-            Adds a <c>ReadOnlyMemory</c> valued column from an array of strings.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.GetDataView(System.Nullable{System.Int32})">
-            <summary>
-            Constructs a data view from the columns added so far. Note that it is perfectly acceptable
-            to continue adding columns to the builder, but these additions will not be reflected in the
-            returned dataview.
-            </summary>
-            <param name="rowCount"></param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.DataView.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.DataView.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.Column`1.CopyOut(System.Int32,`0@)">
-            <summary>
-            Produce the output value given the index.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.Column`2.CopyOut(`0@,`1@)">
-            <summary>
-            Assigns dst in such a way that the caller has ownership of <c>dst</c> without
-            compromising this object's ownership of <c>src</c>. What that operation will be
-            will depend on the types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.Column`2.CopyOut(System.Int32,`1@)">
-            <summary>
-            Produce the output value given the index. This overload utilizes the <c>CopyOut</c>
-            helper function.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ArrayDataViewBuilder.AssignmentColumn`1">
-            <summary>
-            A column where the input and output types are the same, and simple assignment does
-            not compromise ownership of the internal vlaues.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ArrayDataViewBuilder.StringToTextColumn">
-            <summary>
-            A convenience column for converting strings into textspans.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ArrayDataViewBuilder.VectorColumn`2.InferType(Microsoft.ML.Data.PrimitiveDataViewType,`0[],System.Func{`0,System.Int32})">
-            <summary>
-            A utility function for subclasses that want to get the type with a dimension based
-            on the input value array and some length function over the input type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ArrayDataViewBuilder.VBufferColumn`1">
-            <summary>
-            A column of buffers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView">
-            <summary>
-            This is a dataview that wraps another dataview, and does on-demand caching of the
-            input columns. When constructed, it caches no data. Whenever a cursor is constructed
-            that requests a column that has not yet been cached, any requested uncached columns
-            become cached through a background thread worker. A user can provide a hint to the
-            constructor to indicate that some columns should be pre-cached. A cursor over this
-            dataview will block when moved to a row until such time as all requested columns
-            have that row in cache.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.CacheDataView._cacheLock">
-            <summary>
-            Cursors can be opened from multiple threads simultaneously, so this is used to
-            synchronize both at the level of ensuring that only one cache is created per
-            column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.CacheDataView._cacheFillerThreads">
-            <summary>
-            Filler threads. Currently nothing is done with them. Possibly it may be good
-            practice to join against them somehow, but IDataViews as this stage are not
-            disposed, so it's unclear what would actually have the job of joining against
-            them.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.CacheDataView._caches">
-            <summary>
-            One cache per column. If this column is not being cached or has been cached,
-            this column will be null.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.CacheDataView._cacheDefaultWaiter">
-            <summary>
-            A waiter used for cursors where no columns are actually requested but it's still
-            necessary to wait to determine the number of rows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Int32[])">
-            <summary>
-            Constructs an on demand cache for the input.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="input">The input dataview to cache. Note that if we do not know
-            how to cache some columns, these columns will not appear in this dataview.</param>
-            <param name="prefetch">A list of column indices the cacher should frontload,
-            prior to any cursors being requested. This can be null to indicate no
-            prefetching.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.SelectCachableColumns(Microsoft.ML.IDataView,Microsoft.ML.Runtime.IHostEnvironment,System.Int32[]@,System.Int32[]@)">
-            <summary>
-            Since shuffling requires serving up items potentially out of order we need to know
-            how to save and then copy out values that we read. This transform knows how to save
-            and copy out only primitive and vector valued columns, but nothing else, so any
-            other columns are dropped.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.MapInputToCacheColumnIndex(System.Int32)">
-            <summary>
-            While in typical cases the cache data view will know how to cache all columns,
-            the cache data view may not know how to cache certain custom types. User code
-            may require a mapping from input data view to cache data view column index space.
-            </summary>
-            <param name="inputIndex">An input data column index</param>
-            <returns>The column index of the corresponding column in the cache data view
-            if this was cachable, or else -1 if the column was not cachable</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.GetRowCount">
-            <summary>
-            Return the number of rows if available.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.GetPermutationOrNull(System.Random)">
-            <summary>
-            Returns a permutation or null. This function will return null if either <paramref name="rand"/>
-            is null, or if the row count of this cache exceeds the maximum array size.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.KickoffFiller(System.Int32[])">
-            <summary>
-            This is a helper method that, given a list of columns, determines the subset
-            that are uncached, and if there are any uncached kicks off a filler worker to
-            fill them in, over a row cursor over this subset of columns.
-            </summary>
-            <param name="columns">The requested set of columns</param>
-            <seealso cref="M:Microsoft.ML.Data.CacheDataView.Filler(Microsoft.ML.DataViewRowCursor,Microsoft.ML.Data.CacheDataView.ColumnCache[],Microsoft.ML.Internal.Utilities.OrderedWaiter)"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.Filler(Microsoft.ML.DataViewRowCursor,Microsoft.ML.Data.CacheDataView.ColumnCache[],Microsoft.ML.Internal.Utilities.OrderedWaiter)">
-            <summary>
-            The actual body of the filler worker. The filler worker works fairly simply:
-            for each row, it tells each <see cref="T:Microsoft.ML.Data.CacheDataView.ColumnCache"/> instance in
-            <paramref name="caches"/> to fill in the value at the current position,
-            then increments the <paramref name="waiter"/>, then moves to the next row.
-            When it's done, it tells <see cref="T:Microsoft.ML.Data.CacheDataView.ColumnCache"/> to "freeze" itself, since
-            there should be no more rows.
-            <param name="cursor">The cursor over the rows to cache</param>
-            <param name="caches">The caches we must fill and, at the end of the cursor, freeze</param>
-            <param name="waiter">The waiter to increment as we cache each additional row</param>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.Wait">
-            <summary>
-            Joins all the cache filler threads. This method is currently supposed to be called only by tests.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.RowSeeker`1.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.RowSeeker`1.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.IWaiter.Wait(System.Int64)">
-             <summary>
-             Blocks until that position is either available, or it has been
-             determined no such position exists. Implicit in a true return value
-             for this is that any values of <paramref name="pos"/> less than are
-             also true, that is, if one waits on <c>i</c>, when this returns it
-             is equivalent to also having waited on <c>i-1</c>, <c>i-2</c>, etc.
-             Note that this is position within the cache, that is, a row index,
-             as opposed to position within the cursor.
-            
-             This method should be thread safe because in the parallel cursor
-             case it will be used by multiple threads.
-             </summary>
-             <param name="pos">The position to wait for, must be positive</param>
-             <returns>True if the position can be accessed, false if not</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.TrivialWaiter">
-            <summary>
-            A waiter for use in situations where there is no real waiting, per se, just a row limit.
-            This should be instantiated only if the analogous <see cref="P:Microsoft.ML.Data.CacheDataView.WaiterWaiter.IsTrivial"/>
-            returned true.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.WaiterWaiter">
-            <summary>
-            A waiter that determines the necessary waiters for a set of active columns, and waits
-            on all of them.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.CacheDataView.WaiterWaiter.IsTrivial">
-            <summary>
-            If this is true, then a <see cref="T:Microsoft.ML.Data.CacheDataView.TrivialWaiter"/> could be used instead.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.IIndex">
-            <summary>
-            A collection of different simple objects that track the index into the cache at
-            particular location. Note that this index is, in the shuffled or parallel case,
-            very different from the position of the cursor that keeps this indexer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.IIndex.GetIndex">
-            <summary>
-            The index. Callers should never call this either before one of the move
-            methods has returned true, or ever after either has returned false.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.IIndex.GetIdGetter">
-            <summary>
-            An ID getter, which should be based on the value that would be returned
-            from <see cref="M:Microsoft.ML.Data.CacheDataView.IIndex.GetIndex"/>, if valid, and otherwise have undefined behavior.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.IIndex.MoveNext">
-            <summary>
-            Moves to the next index. Once this has returned false, it should never be called again.
-            (This in constrast to public <see cref="T:Microsoft.ML.DataViewRowCursor"/> objects, whose move methods are
-            robust to that usage.)
-            </summary>
-            <returns>Whether the next index is available.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.SequenceIndex`1">
-            <summary>
-            An <see cref="T:Microsoft.ML.Data.CacheDataView.IIndex"/> where the indices, while valid, are sequential increasing
-            adjacent indices.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.JobScheduler">
-             <summary>
-             A simple job scheduler that assigns available jobs (batches/blocks for processing) to
-             free workers (cursors/threads). This scheduler takes the ids of the completed jobs into
-             account when assigning next jobs in order to minimize workers wait time as the consumer
-             of the completed jobs (a.k.a consolidator, see: DataViewUtils.ConsolidateGeneric) can
-             only consume jobs in order -according to their ids-. Note that workers get assigned
-             next job ids before they push the completed jobs to the consumer. So the workers are
-             then subject to being blocked until their current completed jobs are fully accepted
-             (i.e. added to the to-consume queue).
-            
-             How it works:
-             Suppose we have 7 workers (w0,..,w6) and 14 jobs (j0,..,j13).
-             Initially, jobs get assigned to workers using a shared counter.
-             Here is an example outcome of using a shared counter:
-             w1->j0, w6->j1, w0->j2, w3->j3, w4->j4, w5->j5, w2->j6.
-            
-             Suppose workers finished jobs in the following order:
-             w5->j5, w0->j2, w6->j1, w4->j4, w3->j3,w1->j0, w2->j6.
-            
-             w5 finishes processing j5 first, but will be blocked until the processing of jobs
-             j0,..,j4 completes since the consumer can consume jobs in order only.
-             Therefore, the next available job (j7) should not be assigned to w5. It should be
-             assigned to the worker whose job *get consumed first* (w1 since it processes j0
-             which is the first job) *not* to the worker who completes its job first (w5 in
-             this example).
-            
-             So, a shared counter can be used to assign jobs to workers initially but should
-             not be used onwards.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.BlockSequenceIndex`1">
-            <summary>
-            An <see cref="T:Microsoft.ML.Data.CacheDataView.IIndex"/> that shares a counter among multiple threads. The multiple threads divy up
-            the work by blocks of rows rather than splitting row by row simply, both to cut down on interthread
-            communication as well as increased locality of thread data access.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.BlockRandomIndex`1">
-            <summary>
-            An <see cref="T:Microsoft.ML.Data.CacheDataView.IIndex"/> that shares a counter among multiple threads. The multiple threads divy up
-            the work by blocks of rows rather than splitting row by row simply, to cut down on interthread
-            communication.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.RowCursorSeekerBase.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CacheDataView.ColumnCache">
-            <summary>
-            A cache of values from a single column. The filler worker fills these in row
-            by row, and increments the associated waiter. The consumer for the cache
-            waits on the associated waiter (if non-null), then fetches values as it
-            determines rows are valid.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.CacheDataView.ColumnCache.Waiter">
-            <summary>
-            The ordered waiter on row indices, indicating when a row index is valid,
-            or null if it is no longer necessary to wait on this column, that is,
-            it is completely filled in. Multiple columns can share a single waiter
-            since often multiple columns are being cached simultaneously, so this
-            object is not unqiue to this column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.ColumnCache.Create(Microsoft.ML.Data.CacheDataView,Microsoft.ML.DataViewRowCursor,System.Int32,Microsoft.ML.Internal.Utilities.OrderedWaiter)">
-            <summary>
-            Creates a cache pipe, over a particular column in a cursor.
-            </summary>
-            <param name="parent">The cache data view for which we are a cache</param>
-            <param name="input">The cursor to read from</param>
-            <param name="srcCol">The column of the cursor we are wrapping.</param>
-            <param name="waiter">The waiter for the filler associated with this column</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.ColumnCache.CacheCurrent">
-            <summary>
-            Utilized by the filler worker, to fill in the cache at the current position of the cursor.
-            The filler worker will have moved the cursor to the next row prior to calling this, so
-            overrides will merely get the value at the current position of the cursor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.ColumnCache.Freeze">
-            <summary>
-            Utilized by the filler worker, to indicate to the cache that it will not be receiving
-            any more values through <see cref="M:Microsoft.ML.Data.CacheDataView.ColumnCache.CacheCurrent"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CacheDataView.ColumnCache`1.Fetch(System.Int32,`0@)">
-            <summary>
-            Utilized by the consumer to get a value in the cache at an index. The
-            consumer should coordinate with the <see cref="P:Microsoft.ML.Data.CacheDataView.ColumnCache.Waiter"/> member to ensure
-            that the row is valid.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CompositeRowToRowMapper">
-            <summary>
-            A row-to-row mapper that is the result of a chained application of multiple mappers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeRowToRowMapper.#ctor(Microsoft.ML.DataViewSchema,Microsoft.ML.Data.IRowToRowMapper[])">
-            <summary>
-            Out of a series of mappers, construct a seemingly unitary mapper that is able to apply them in sequence.
-            </summary>
-            <param name="inputSchema">The input schema.</param>
-            <param name="mappers">The sequence of mappers to wrap. An empty or <c>null</c> argument
-            is legal, and counts as being a no-op application.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeRowToRowMapper.Microsoft#ML#Data#IRowToRowMapper#GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeRowToRowMapper.SubsetActive.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.CompositeRowToRowMapper.SubsetActive.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewConstructionUtils">
-            <summary>
-            A helper class to create data views based on the user-provided types.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewConstructionUtils.InputRowBase`1">
-            <summary>
-            A row that consumes items of type <typeparamref name="TRow"/>, and provides an <see cref="T:Microsoft.ML.DataViewRow"/>. This
-            is in contrast to <see cref="T:Microsoft.ML.Data.IRowReadableAs`1"/> which consumes a data view row and publishes them as the output type.
-            </summary>
-            <typeparam name="TRow">The input data type.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewConstructionUtils.InputRowBase`1.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewConstructionUtils.InputRowBase`1.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1">
-            <summary>
-            The base class for the data view over items of user-defined type.
-            </summary>
-            <typeparam name="TRow">The user-defined data type.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.WrappedCursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.WrappedCursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.DataViewCursorBase.Position">
-            <summary>
-            Zero-based position of the cursor.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.DataViewCursorBase.IsGood">
-            <summary>
-            Convenience property for checking whether the cursor is in a good state where values
-            can be retrieved, that is, whenever <see cref="P:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.DataViewCursorBase.Position"/> is non-negative.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.DataViewCursorBase.MoveNextCore">
-            <summary>
-            Core implementation of <see cref="M:Microsoft.ML.Data.DataViewConstructionUtils.DataViewBase`1.DataViewCursorBase.MoveNext"/>, called if no prior call to this method
-            has returned <see langword="false"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewConstructionUtils.ListDataView`1">
-            <summary>
-            An in-memory data view based on the IList of data.
-            Supports shuffling.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewConstructionUtils.StreamingDataView`1">
-            <summary>
-            An in-memory data view based on the IEnumerable of data.
-            Doesn't support shuffling.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewConstructionUtils.SingleRowLoopDataView`1">
-            <summary>
-            This represents the 'infinite data view' over one (mutable) user-defined object.
-            The 'current row' object can be updated at any time, this will affect all the
-            newly created cursors, but not the ones already existing.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnnotationInfo">
-            <summary>
-            A single instance of annotation information, associated with a column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationInfo.AnnotationType">
-            <summary>
-            The type of the annotation.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnnotationInfo.Kind">
-            <summary>
-            The string identifier of the annotation. Some identifiers have special meaning,
-            like "SlotNames", but any other identifiers can be used.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnnotationInfo`1">
-            <summary>
-            Strongly-typed version of <see cref="T:Microsoft.ML.Data.AnnotationInfo"/>, that contains the actual value of the annotation.
-            </summary>
-            <typeparam name="T">Type of the annotation value.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnnotationInfo`1.#ctor(System.String,`0,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Constructor for annotation of value type T.
-            </summary>
-            <param name="kind">The string identifier of the annotation. Some identifiers have special meaning,
-            like "SlotNames", but any other identifiers can be used.</param>
-            <param name="value">Annotation value.</param>
-            <param name="annotationType">Type of the annotation.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewExtensions.GetRowCursor(Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column[])">
-            <summary>
-            Get a row cursor. The <paramref name="columnsNeeded"/> are the active columns.
-            The schema of the returned cursor will be the same as the schema of the IDataView, but getting
-            a getter for an inactive columns will throw.
-            </summary>
-            <param name="columnsNeeded">The columns requested by this <see cref="T:Microsoft.ML.DataViewRowCursor"/>, or as otherwise called, the active columns.
-            An empty collection indicates that no column is needed.</param>
-            <param name="dv">The <see cref="T:Microsoft.ML.IDataView"/> containing the <paramref name="columnsNeeded"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewExtensions.GetRowCursor(Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Get a row cursor. The <paramref name="columnNeeded"/> is the active column.
-            The schema of the returned cursor will be the same as the schema of the IDataView, but getting
-            a getter for the other, inactive columns will throw.
-            </summary>
-            <param name="columnNeeded">The column requested by this <see cref="T:Microsoft.ML.DataViewRowCursor"/>, or as otherwise called, the active column.</param>
-            <param name="dv">The <see cref="T:Microsoft.ML.IDataView"/> containing the <paramref name="columnNeeded"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewExtensions.GetRowCursor(Microsoft.ML.IDataView)">
-            <summary>
-            Get a row cursor. No colums are needed by this <see cref="T:Microsoft.ML.DataViewRowCursor"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewExtensions.GetRowCursorForAllColumns(Microsoft.ML.IDataView)">
-            <summary>
-            Get a row cursor including all the columns of the <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewExtensions.GetRow(Microsoft.ML.Data.IRowToRowMapper,Microsoft.ML.DataViewRow,Microsoft.ML.DataViewSchema.Column[])">
-            <summary>
-            Extension method.
-            </summary>
-            <param name="rowMapper"></param>
-            <param name="input"></param>
-            <param name="activeColumns"></param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.EmptyDataView">
-            <summary>
-            This implements a data view that has a schema, but no rows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EmptyDataView.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EmptyDataView.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.InternalSchemaDefinition">
-            <summary>
-            An internal class that holds the (already validated) mapping between a custom type and an IDataView schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalSchemaDefinition.Column.AssertRep">
-            <summary>
-            Function that checks whether the InternalSchemaDefinition.Column is a valid one.
-            To be valid, the Column must:
-                1. Have non-empty values for ColumnName and ColumnType
-                2. Have a non-empty value for FieldInfo iff it is a field column, else
-                   ReturnParameterInfo and Generator iff it is a computed column
-                3. Generator must have the method inputs (TRow rowObject,
-                   long position, ref TValue outputValue) in that order.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalSchemaDefinition.GetVectorAndItemType(System.Reflection.MemberInfo,System.Boolean@,System.Type@)">
-            <summary>
-            Given a field or property info on a type, returns whether this appears to be a vector type,
-            and also the associated data kind for this type. If a valid data type could not
-            be determined, this will throw.
-            </summary>
-            <param name="memberInfo">The field or property info to inspect.</param>
-            <param name="isVector">Whether this appears to be a vector type.</param>
-            <param name="itemType">
-            The corresponding <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/> RawType of the type, or items of this type if vector.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.Data.InternalSchemaDefinition.GetVectorAndItemType(System.String,System.Type,System.Collections.Generic.IEnumerable{System.Attribute},System.Boolean@,System.Type@)">
-            <summary>
-            Given a type and name for a variable, returns whether this appears to be a vector type,
-            and also the associated data type for this type. If a valid data type could not
-            be determined, this will throw.
-            </summary>
-            <param name="name">The name of the variable to inspect.</param>
-            <param name="rawType">The type of the variable to inspect.</param>
-            <param name="attributes">Attribute of <paramref name="rawType"/>. It can be <see langword="null"/> if attributes don't exist.</param>
-            <param name="isVector">Whether this appears to be a vector type.</param>
-            <param name="itemType">
-            The corresponding <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/> RawType of the type, or items of this type if vector.
-            </param>
-        </member>
-        <member name="T:Microsoft.ML.Data.LambdaColumnMapper">
-            <summary>
-            This applies the user provided ValueMapper to a column to produce a new column. It automatically
-            injects a standard conversion from the actual type of the source column to typeSrc (if needed).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.LambdaFilter">
-            <summary>
-            This applies the user provided RefPredicate to a column and drops rows that map to false. It automatically
-            injects a standard conversion from the actual type of the source column to typeSrc (if needed).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.OpaqueDataView">
-            <summary>
-            Opaque IDataView implementation to provide a barrier for data pipe optimizations.
-            Used in cross validatation to generate the train/test pipelines for each fold.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IRowMapper">
-            <summary>
-            This interface is used to create a <see cref="T:Microsoft.ML.Data.RowToRowMapperTransform"/>.
-            Implementations should be given an <see cref="T:Microsoft.ML.DataViewSchema"/> in their constructor, and should have a
-            ctor or Create method with <see cref="T:Microsoft.ML.Data.SignatureLoadRowMapper"/>, along with a corresponding
-            <see cref="T:Microsoft.ML.LoadableClassAttribute"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowMapper.GetDependencies(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Returns the input columns needed for the requested output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowMapper.CreateGetters(Microsoft.ML.DataViewRow,System.Func{System.Int32,System.Boolean},System.Action@)">
-            <summary>
-            Returns the getters for the output columns given an active set of output columns. The length of the getters
-            array should be equal to the number of columns added by the IRowMapper. It should contain the getter for the
-            i'th output column if activeOutput(i) is true, and null otherwise. If creating a <see cref="T:Microsoft.ML.DataViewRow"/> or
-            <see cref="T:Microsoft.ML.DataViewRowCursor"/> out of this, the <paramref name="disposer"/> delegate (if non-null) should be called
-            from the dispose of either of those instances.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowMapper.GetOutputColumns">
-            <summary>
-            Returns information about the output columns, including their name, type and any metadata information.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowMapper.GetTransformer">
-            <summary>
-            DO NOT USE IT!
-            Purpose of this method is to enable legacy loading and unwrapping of RowToRowTransform.
-            It should be removed as soon as we get rid of <see cref="T:Microsoft.ML.Data.TrainedWrapperEstimatorBase"/>
-            Returns parent transfomer which uses this mapper.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowToRowMapperTransform">
-            <summary>
-            This class is a transform that can add any number of output columns, that depend on any number of input columns.
-            It does so with the help of an <see cref="T:Microsoft.ML.Data.IRowMapper"/>, that is given a schema in its constructor, and has methods
-            to get the dependencies on input columns and the getters for the output columns, given an active set of output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransform.GetActive(System.Func{System.Int32,System.Boolean},System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column}@)">
-            <summary>
-            Produces the set of active columns for the data view (as a bool[] of length bindings.ColumnCount),
-            and the needed active input columns, given a predicate for the needed active output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransform.Microsoft#ML#Data#IRowToRowMapper#GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of output columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransform.RowImpl.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransform.RowImpl.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.SimpleRow">
-            <summary>
-            An implementation of <see cref="T:Microsoft.ML.DataViewRow"/> that gets its <see cref="P:Microsoft.ML.DataViewRow.Position"/>, <see cref="P:Microsoft.ML.DataViewRow.Batch"/>,
-            and <see cref="M:Microsoft.ML.DataViewRow.GetIdGetter"/> from an input row. The constructor requires a schema and array of getter
-            delegates. A <see langword="null"/> delegate indicates an inactive column. The delegates are assumed to be
-            of the appropriate type (this does not validate the type).
-            REVIEW: Should this validate that the delegates are of the appropriate type? It wouldn't be difficult
-            to do so.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SimpleRow.#ctor(Microsoft.ML.DataViewSchema,Microsoft.ML.DataViewRow,System.Delegate[],System.Action)">
-            <summary>
-            Constructor.
-            </summary>
-            <param name="schema">The schema for the row.</param>
-            <param name="input">The row that is being wrapped by this row, where our <see cref="P:Microsoft.ML.DataViewRow.Position"/>,
-            <see cref="P:Microsoft.ML.DataViewRow.Batch"/>, <see cref="M:Microsoft.ML.DataViewRow.GetIdGetter"/>.</param>
-            <param name="getters">The collection of getter delegates, whose types should map those in a schema.
-            If one of these is <see langword="null"/>, the corresponding column is considered inactive.</param>
-            <param name="disposer">A method that, if non-null, will be called exactly once during
-            <see cref="M:System.IDisposable.Dispose"/>, prior to disposing <paramref name="input"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SimpleRow.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.Transposer">
-            <summary>
-            This provides a scalable method of getting a "transposed" view of a subset of columns from an
-            <see cref="T:Microsoft.ML.IDataView"/>. Instances of <see cref="T:Microsoft.ML.Data.Transposer"/> act like a wrapped version of
-            the input dataview, except that an indicated set of columns will be transposable, even if they
-            were not transposable before. Note that transposition is a somewhat slow and resource intensive
-            operation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Boolean,System.String[])">
-            <summary>
-            Creates an instance given a list of column names.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="view">The view whose columns we want to transpose</param>
-            <param name="forceSave">Whether the internal transposer should always unconditionally
-            save the column we are transposing. Can be useful if the original dataview is possibly
-            slow to iterate over that column.</param>
-            <param name="columns">The non-empty list of columns to transpose</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Boolean,System.Int32[])">
-            <summary>
-            Creates an instance given a list of column indices.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="view">The view whose columns we want to transpose</param>
-            <param name="forceSave">Whether the internal transposer should always unconditionally
-            save the column we are transposing. Can be useful if the original dataview is possibly
-            slow to iterate over that column.</param>
-            <param name="columns">The non-empty list of columns to transpose</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.SlotCursorVec`1.#ctor(Microsoft.ML.Data.Transposer,System.Int32)">
-            <summary>
-            Constructs a slot cursor.
-            </summary>
-            <param name="parent">The transposer.</param>
-            <param name="col">The index of the transposed column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.SlotCursorVec`1.EnsureValid">
-            <summary>
-            Ensures that the column from the source data view stored in our intermediate buffers is the
-            current column requested.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.Transposer.DataViewSlicer">
-            <summary>
-            This takes an input data view, and presents a dataset with "sliced" up columns
-            that are partitionings of the original columns. Scalar columns and sufficiently
-            small vector columns are just served up as themselves. The idea is that each of
-            those slices should be small enough that storing an entire column in memory.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.InColToOutRange(System.Int32,System.Int32@,System.Int32@)">
-            <summary>
-            Given the index of a column we were told to split, get the corresponding range out output
-            ranges.
-            </summary>
-            <param name="incol">The index into the array of column indices.</param>
-            <param name="outMin">The minimum output column index corresponding to that split column</param>
-            <param name="outLim">The exclusive limit of the output column index corresponding to that
-            split column</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.OutputColumnToSplitterIndices(System.Int32,System.Int32@,System.Int32@)">
-            <summary>
-            Given an output column index, find which spliter produces it and which spliter column is its source.
-            </summary>
-            <param name="col">An output column index</param>
-            <param name="splitInd"><see cref="F:Microsoft.ML.Data.Transposer.DataViewSlicer._splitters"/>[splitInd] produces the specified output column.</param>
-            <param name="splitCol">The specified output column is the splitCol-th column among columns produced by <see cref="F:Microsoft.ML.Data.Transposer.DataViewSlicer._splitters"/>[splitInd].</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.CreateInputPredicate(System.Func{System.Int32,System.Boolean},System.Boolean[]@)">
-            <summary>
-            Given a possibly null predicate for this data view, produce the dependency predicate for the sources,
-            as well as a list of all the splitters for which we should produce rowsets.
-            </summary>
-            <param name="pred">The predicate input into the <see cref="M:Microsoft.ML.Data.Transposer.DataViewSlicer.GetRowCursor(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)"/> method.</param>
-            <param name="activeSplitters">A boolean indicator array of length equal to the number of splitters,
-            indicating whether that splitter has any active columns in its outputs or not</param>
-            <returns>The predicate to use when constructing the row cursor from the source</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter">
-            <summary>
-            There is one instance of these per column, implementing the possible splitting
-            of one column from a <see cref="T:Microsoft.ML.IDataView"/> into multiple columns. The instance
-            describes the resulting split columns through <see cref="P:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.OutputSchema"/>,
-            and then can be bound to an <see cref="T:Microsoft.ML.DataViewRow"/> to provide that splitting functionality.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.OutputSchema">
-            <summary>
-            Output schema of a splitter. A splitter takes a column from input data and then divide it into multiple columns
-            to form its output data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.Create(Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            Creates a splitter for a given row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.Bind(Microsoft.ML.DataViewRow,System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Given an input <see cref="T:Microsoft.ML.DataViewRow"/>, create the <see cref="T:Microsoft.ML.DataViewRow"/> containing the split
-            version of the columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.NoSplitter`1">
-            <summary>
-            A splitter that doesn't split, just passes through the column contents.
-            Useful for when we've been told to "split" a column that we don't need
-            to split.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.NoSplitter`1.#ctor(Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            This is NoSplitter. Thus, the column, indexed by col, which supposes to be splitted will just be copied to an output
-            column without splitting.
-            </summary>
-            <param name="view">Input data whose columns can be splitted.</param>
-            <param name="col">The selected column's index.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.NoSplitter`1.RowImpl.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.NoSplitter`1.RowImpl.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.ColumnSplitter`1">
-            <summary>
-            This splitter enables the partition of a single column into two or more
-            columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.ColumnSplitter`1.#ctor(Microsoft.ML.IDataView,System.Int32,System.Int32[])">
-            <summary>
-            Provide a column partitioner that partitions a vector column into multiple
-            vector columns.
-            </summary>
-            <param name="view">The view where we are slicing one column</param>
-            <param name="col">The column we are slicing</param>
-            <param name="lims">Equal in length to the number of slices, this is
-            the limit of the indices of each slice, where the successive slice
-            starts with that limit as its minimum index. So slice i comes from
-            source slot indices from <c><paramref name="lims"/>[i-1]</c> inclusive to
-            <c><paramref name="lims"/>[i]</c> exclusive, with slice 0 starting at 0.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.ColumnSplitter`1.RowImpl.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.ColumnSplitter`1.RowImpl.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.Transposer.DataViewSlicer.Cursor">
-            <summary>
-            The cursor implementation creates the <see cref="T:Microsoft.ML.DataViewRow"/>s using <see cref="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Splitter.Bind(Microsoft.ML.DataViewRow,System.Func{System.Int32,System.Boolean})"/>,
-            then collates the results from those rows as effectively one big row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Transposer.DataViewSlicer.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.GetSingleSlotValue``1(Microsoft.ML.Data.ITransposeDataView,System.Int32,Microsoft.ML.Data.VBuffer{``0}@)">
-            <summary>
-            This is a convenience method that extracts a single slot value's vector,
-            while simultaneously verifying that there is exactly one value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.GetGetterWithVectorType``1(Microsoft.ML.Data.SlotCursor,Microsoft.ML.Runtime.IExceptionContext)">
-            <summary>
-            The <see cref="M:Microsoft.ML.Data.SlotCursor.GetGetter``1"/> is parameterized by a type that becomes the
-            type parameter for a <see cref="T:Microsoft.ML.Data.VBuffer`1"/>, and this is generally preferable and more
-            sensible but for various reasons it's often a lot simpler to have a get-getter be over
-            the actual type returned by the getter, that is, parameterize this by the actual
-            <see cref="T:Microsoft.ML.Data.VBuffer`1"/> type.
-            </summary>
-            <typeparam name="TValue">The type, must be a <see cref="T:Microsoft.ML.Data.VBuffer`1"/> generic type,
-            though enforcement of this has to be done only at runtime for practical reasons</typeparam>
-            <param name="cursor">The cursor to get the getter for</param>
-            <param name="ctx">The exception contxt</param>
-            <returns>The value getter</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.GetRowCursorShim(Microsoft.ML.Runtime.IChannelProvider,Microsoft.ML.Data.SlotCursor)">
-            <summary>
-            Given a slot cursor, construct a single-column equivalent row cursor, with the single column
-            active and having the same type. This is useful to exploit the many utility methods that exist
-            to handle <see cref="T:Microsoft.ML.DataViewRowCursor"/> and <see cref="T:Microsoft.ML.DataViewRow"/> but that know nothing about
-            <see cref="T:Microsoft.ML.Data.SlotCursor"/>, without having to rewrite all of them. This is, however, rather
-            something of a hack; whenever possible or reasonable the slot cursor should be used directly.
-            The name of this column is always "Waffles".
-            </summary>
-            <param name="provider">The channel provider used in creating the wrapping row cursor</param>
-            <param name="cursor">The slot cursor to wrap</param>
-            <returns>A row cursor with a single active column with the same type as the slot type</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.TransposerUtils.SlotDataView">
-            <summary>
-            Presents a single transposed column as a single-column dataview.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.SlotDataView.Cursor`1.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.SlotDataView.Cursor`1.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.SlotRowCursorShim`1.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransposerUtils.SlotRowCursorShim`1.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.IRowReadableAs`1">
-            <summary>
-            This interface is an <see cref="T:Microsoft.ML.DataViewRow"/> with 'strongly typed' binding.
-            It can populate the user-supplied object's fields with the values of the current row.
-            </summary>
-            <typeparam name="TRow">The user-defined type that is being populated while cursoring.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.IRowReadableAs`1.FillValues(`0)">
-            <summary>
-            Populates the fields of the user-supplied <paramref name="row"/> object with the values of the current row.
-            </summary>
-            <param name="row">The row object. Cannot be null.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowCursor`1">
-            <summary>
-            This interface provides cursoring through a <see cref="T:Microsoft.ML.IDataView"/> via a 'strongly typed' binding.
-            It can populate the user-supplied object's fields with the values of the current row.
-            </summary>
-            <typeparam name="TRow">The user-defined type that is being populated while cursoring.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.ICursorable`1">
-            <summary>
-            This interface allows to create strongly typed cursors over a <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-            <typeparam name="TRow">The user-defined type that is being populated while cursoring.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.ICursorable`1.GetCursor">
-            <summary>
-            Get a new cursor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ICursorable`1.GetRandomizedCursor(System.Int32)">
-            <summary>
-            Get a new randomized cursor.
-            </summary>
-            <param name="randomSeed">The random seed to use.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.TypedCursorable`1">
-            <summary>
-            Implementation of the strongly typed Cursorable.
-            Similarly to the 'DataView{T}, this class uses IL generation to create the 'poke' methods that
-            write directly into the fields of the user-defined type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.IsCompatibleType(Microsoft.ML.Data.DataViewType,System.Reflection.MemberInfo)">
-            <summary>
-            Returns whether the column type <paramref name="colType"/> can be bound to field <paramref name="memberInfo"/>.
-            They must both be vectors or scalars, and the raw data type should match.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.GetCursor">
-            <summary>
-            Create and return a new cursor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.GetRandomizedCursor(System.Int32)">
-            <summary>
-            Create and return a new randomized cursor.
-            </summary>
-            <param name="randomSeed">The random seed to use.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.GetCursor(System.Func{System.Int32,System.Boolean},System.Nullable{System.Int32})">
-            <summary>
-            Create a new cursor with additional active columns.
-            </summary>
-            <param name="additionalColumnsPredicate">Predicate that denotes which additional columns to include in the cursor,
-            in addition to the columns that are needed for populating the <typeparamref name="TRow"/> object.</param>
-            <param name="randomSeed">The random seed to use. If <c>null</c>, the cursor will be non-randomized.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.GetCursorSet(System.Func{System.Int32,System.Boolean},System.Int32,System.Random)">
-            <summary>
-            Create a set of cursors with additional active columns.
-            </summary>
-            <param name="additionalColumnsPredicate">Predicate that denotes which additional columns to include in the cursor,
-            in addition to the columns that are needed for populating the <typeparamref name="TRow"/> object.</param>
-            <param name="n">Number of cursors to create</param>
-            <param name="rand">Random generator to use</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Boolean,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Create a Cursorable object on a given data view.
-            </summary>
-            <param name="env">Host environment.</param>
-            <param name="data">The underlying data view.</param>
-            <param name="ignoreMissingColumns">Whether to ignore missing columns in the data view.</param>
-            <param name="schemaDefinition">The optional user-provided schema.</param>
-            <returns>The constructed Cursorable.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.TypedRowBase.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.TypedRowBase.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.RowCursorImplementation.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypedCursorable`1.RowCursorImplementation.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CursoringUtils">
-            <summary>
-            Utility methods that facilitate strongly-typed cursoring.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CursoringUtils.AsCursorable``1(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Boolean,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Generate a strongly-typed cursorable wrapper of the <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-            <typeparam name="TRow">The user-defined row type.</typeparam>
-            <param name="env">The environment.</param>
-            <param name="data">The underlying data view.</param>
-            <param name="ignoreMissingColumns">Whether to ignore the case when a requested column is not present in the data view.</param>
-            <param name="schemaDefinition">Optional user-provided schema definition. If it is not present, the schema is inferred from the definition of T.</param>
-            <returns>The cursorable wrapper of <paramref name="data"/>.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.ZipBinding">
-            <summary>
-            A convenience class for concatenating several schemas together.
-            This would be necessary when combining IDataViews through any type of combining operation, for example, zip.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ZipBinding.GetInputPredicates(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Returns an array of input predicated for sources, corresponding to the input predicate.
-            The returned array size is equal to the number of sources, but if a given source is not needed at all,
-            the corresponding predicate will be null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ZipBinding.CheckColumnInRange(System.Int32)">
-            <summary>
-            Checks whether the column index is in range.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ZipDataView">
-            <summary>
-            This is a data view that is a 'zip' of several data views.
-            The length of the zipped data view is equal to the shortest of the lengths of the components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ZipDataView.GetMinimumCursor(Microsoft.ML.IDataView)">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.DataViewRowCursor"/> with no requested columns on a data view.
-            Potentially, this can be optimized by calling GetRowCount(lazy:true) first, and if the count is not known,
-            wrapping around GetCursor().
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ZipDataView.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ZipDataView.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.BufferBuilder`1">
-            <summary>
-            Helper base class for building feature vectors (sparse or dense). Note that this is abstract
-            with some of the esoteric stuff "protected" instead of "public". This is so callees can't
-            abuse an instance of it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BufferBuilder`1.ResetImpl(System.Int32,System.Boolean)">
-            <summary>
-            This resets the FeatureSet to be used again. This functionality is for memory
-            efficiency - we can keep pools of these to be re-used.
-            Dense indicates whether this should start out dense. It can, of course,
-            become dense when it makes sense to do so.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BufferBuilder`1.SetActiveRangeImpl(System.Int32,System.Int32)">
-            <summary>
-            This sets the active sub-range of the feature index space. For example, when asking
-            a feature handler to add features, we call this so the feature handler can use zero-based
-            indexing for the features it is generating. This also prohibits the feature handler from
-            messing with a different index range. Note that this is protected so a non-abstract derived
-            type can choose how to use it, but a feature handler can't directly mess with the active
-            range.
-            </summary>
-            <param name="ifeat">The min feature index of the active range</param>
-            <param name="cfeat">The number of feature indices in the active range</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.BufferBuilder`1.AddFeature(System.Int32,`0)">
-            <summary>
-            Adds a feature to the current active range. If the index is a duplicate, this adds the
-            given value to any previously provided value(s).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BufferBuilder`1.SortAndSumDups">
-            <summary>
-            Sort the indices/values (by index) and sum the values for duplicate indices. This asserts that
-            _sorted is false and _dense is false. It also asserts that _count > 1.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BufferBuilder`1.MakeDense">
-            <summary>
-            Convert a sorted non-dense representation to dense.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BufferBuilder`1.TryGetFeature(System.Int32,`0@)">
-            <summary>
-            Try to get the value for the given feature. Returns false if the feature index is not found.
-            Note that this respects the "active range", just as AddFeature does.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.Conversion.Conversions">
-            <summary>
-            This type exists to provide efficient delegates for conversion between standard ColumnTypes,
-            as discussed in the IDataView Type System Specification. This is a singleton class.
-            Some conversions are "standard" conversions, conforming to the details in the spec.
-            Others are auxiliary conversions. The use of auxiliary conversions should be limited to
-            situations that genuinely require them and have been well designed in the particular context.
-            For example, this contains non-standard conversions from the standard primitive types to
-            text (and StringBuilder). These are needed by the standard TextSaver, which handles
-            differences between sparse and dense inputs in a semantically invariant way.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.GetStandardConversion``2(Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.DataViewType,System.Boolean@)">
-            <summary>
-            Return a standard conversion delegate from typeSrc to typeDst. If there is no such standard
-            conversion, this throws an exception.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryGetStandardConversion``2(Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.ValueMapper{``0,``1}@,System.Boolean@)">
-            <summary>
-            Determine whether there is a standard conversion from typeSrc to typeDst and if so,
-            set conv to the conversion delegate. The type parameters TSrc and TDst must match
-            the raw types of typeSrc and typeDst.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.GetStandardConversion(Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Return a standard conversion delegate from typeSrc to typeDst. If there is no such standard
-            conversion, this throws an exception.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryGetStandardConversion(Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.DataViewType,System.Delegate@,System.Boolean@)">
-            <summary>
-            Determine whether there is a standard conversion from typeSrc to typeDst and if so,
-            set conv to the conversion delegate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.GetNAOrDefault``1(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Returns the NA value of the given type, if it has one, otherwise, it returns
-            default of the type. This only knows about NA values of standard scalar types
-            and key types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.GetNAOrDefault``1(Microsoft.ML.Data.DataViewType,System.Boolean@)">
-            <summary>
-            Returns the NA value of the given type, if it has one, otherwise, it returns
-            default of the type. This only knows about NA values of standard scalar types
-            and key types. Returns whether the returned value is the default value or not.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.GetNAOrDefaultGetter``1(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Returns a ValueGetter{T} that produces the NA value of the given type, if it has one,
-            otherwise, it produces default of the type. This only knows about NA values of standard
-            scalar types and key types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Byte@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.UInt16@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.UInt32@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.UInt64@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,Microsoft.ML.Data.DataViewRowId@)">
-            <summary>
-            A parse method that transforms a 34-length string into a <see cref="T:Microsoft.ML.Data.DataViewRowId"/>.
-            </summary>
-            <param name="src">What should be a 34-length hexadecimal representation, including a 0x prefix,
-            of the 128-bit number</param>
-            <param name="dst">The result</param>
-            <returns>Whether the input string was parsed successfully, that is, it was exactly length 32
-            and had only digits and the letters 'a' through 'f' or 'A' through 'F' as characters</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.IsStdMissing(System.ReadOnlySpan{System.Char}@)">
-            <summary>
-            Return true if the span contains a standard text representation of NA
-            other than the standard TX missing representation - callers should
-            have already dealt with that case and the case of empty.
-            The standard representations are any casing of:
-               ?  NaN  NA  N/A
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParseKey(System.ReadOnlyMemory{System.Char}@,System.UInt64,System.UInt64@)">
-            <summary>
-            Utility to assist in parsing key-type values. The max value defines
-            the legal input value bound. The output dst value is "normalized" by adding 1
-            so max is mapped to 1 + max.
-            Unparsable or out of range values are mapped to zero with a false return.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.SByte@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            On failure, it sets dst to the default value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Int16@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            On failure, it sets dst to the default value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Int32@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            On failure, it sets dst to the defualt value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Int64@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable or overflows.
-            On failure, it sets dst to the default value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParseNonNegative(System.ReadOnlySpan{System.Char},System.Int64@)">
-            <summary>
-            Returns false if the text is not parsable as an non-negative long or overflows.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParseSigned(System.Int64,System.ReadOnlyMemory{System.Char}@,System.Nullable{System.Int64}@)">
-            <summary>
-            This produces zero for empty. It returns false if the text is not parsable as a signed integer
-            or the result overflows. The min legal value is -max. The NA value null.
-            When it returns false, result is set to the NA value. The result can be NA on true return,
-            since some representations of NA are not considered parse failure.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Single@)">
-            <summary>
-            This produces zero for empty, or NaN depending on the <see cref="F:Microsoft.ML.Internal.Utilities.DoubleParser.OptionFlags.EmptyAsNaN"/> used.
-            It returns false if the text is not parsable.
-            On failure, it sets dst to the NA value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Double@)">
-            <summary>
-            This produces zero for empty, or NaN depending on the <see cref="F:Microsoft.ML.Internal.Utilities.DoubleParser.OptionFlags.EmptyAsNaN"/> used.
-            It returns false if the text is not parsable.
-            On failure, it sets dst to the NA value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.TimeSpan@)">
-            <summary>
-            This produces default for empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.DateTime@)">
-            <summary>
-            This produces default for empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.DateTimeOffset@)">
-            <summary>
-            This produces default for empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.Conversion.Conversions.TryParse(System.ReadOnlyMemory{System.Char}@,System.Boolean@)">
-            <summary>
-            Try parsing a TX to a BL. This returns false for NA (span.IsMissing).
-            Otherwise, it trims the span, then succeeds on all casings of the strings:
-            * false, f, no, n, 0, -1, - => false
-            * true, t, yes, y, 1, +1, + => true
-            Empty string (but not missing string) succeeds and maps to false.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewTypeManager">
-            <summary>
-            A singleton class for managing the map between ML.NET <see cref="T:Microsoft.ML.Data.DataViewType"/> and C# <see cref="T:System.Type"/>.
-            To support custom column type in <see cref="T:Microsoft.ML.IDataView"/>, the column's underlying type (e.g., a C# class's type)
-            should be registered with a class derived from <see cref="T:Microsoft.ML.Data.DataViewType"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewTypeManager._bannedRawTypes">
-            <summary>
-            Types have been used in ML.NET type systems. They can have multiple-to-one type mapping.
-            For example, UInt32 and Key can be mapped to <see langword="uint"/>. This class enforces one-to-one mapping for all
-            user-registered types.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewTypeManager._rawTypeToDataViewTypeMap">
-            <summary>
-            Mapping from a <see cref="T:System.Type"/> plus its <see cref="T:System.Attribute"/>s to a <see cref="T:Microsoft.ML.Data.DataViewType"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewTypeManager._dataViewTypeToRawTypeMap">
-            <summary>
-            Mapping from a <see cref="T:Microsoft.ML.Data.DataViewType"/> to a <see cref="T:System.Type"/> plus its <see cref="T:System.Attribute"/>s.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewTypeManager._lock">
-            <summary>
-            The lock that one should acquire if the state of <see cref="T:Microsoft.ML.Data.DataViewTypeManager"/> will be accessed or modified.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeManager.GetDataViewType(System.Type,System.Collections.Generic.IEnumerable{System.Attribute})">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.Data.DataViewType"/> registered for <paramref name="type"/> and its <paramref name="typeAttributes"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeManager.Knows(System.Type,System.Collections.Generic.IEnumerable{System.Attribute})">
-            <summary>
-            If <paramref name="type"/> has been registered with a <see cref="T:Microsoft.ML.Data.DataViewType"/>, this function returns <see langword="true"/>.
-            Otherwise, this function returns <see langword="false"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeManager.Knows(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            If <paramref name="dataViewType"/> has been registered with a <see cref="T:System.Type"/>, this function returns <see langword="true"/>.
-            Otherwise, this function returns <see langword="false"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeManager.Register(Microsoft.ML.Data.DataViewType,System.Type,System.Collections.Generic.IEnumerable{System.Attribute})">
-            <summary>
-            This function tells that <paramref name="dataViewType"/> should be representation of data in <paramref name="type"/> in
-            ML.NET's type system. The registered <paramref name="type"/> must be a standard C# object's type.
-            </summary>
-            <param name="type">Native type in C#.</param>
-            <param name="dataViewType">The corresponding type of <paramref name="type"/> in ML.NET's type system.</param>
-            <param name="typeAttributes">The <see cref="T:System.Attribute"/>s attached to <paramref name="type"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeManager.Register(Microsoft.ML.Data.DataViewType,System.Type,Microsoft.ML.Data.DataViewTypeAttribute)">
-            <summary>
-            This function tells that <paramref name="dataViewType"/> should be representation of data in <paramref name="type"/> in
-            ML.NET's type system. The registered <paramref name="type"/> must be a standard C# object's type.
-            </summary>
-            <param name="type">Native type in C#.</param>
-            <param name="dataViewType">The corresponding type of <paramref name="type"/> in ML.NET's type system.</param>
-            <param name="typeAttribute">The <see cref="T:Microsoft.ML.Data.DataViewTypeAttribute"/> attached to <paramref name="type"/>.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes">
-            <summary>
-            An instance of <see cref="T:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes"/> represents an unique key of its <see cref="P:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes.TargetType"/> and <see cref="F:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes._associatedAttribute"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes.TargetType">
-            <summary>
-            The underlying type.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes._associatedAttribute">
-            <summary>
-            The underlying type's attributes. Together with <see cref="P:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes.TargetType"/>, <see cref="F:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes._associatedAttribute"/> uniquely defines
-            a key when using <see cref="T:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes"/> as the key type in <see cref="T:System.Collections.Generic.Dictionary`2"/>. Note that the
-            uniqueness is determined by <see cref="M:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes.Equals(System.Object)"/> and <see cref="M:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes.GetHashCode"/> below.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeManager.TypeWithAttributes.GetHashCode">
-            <summary>
-            This function computes a hashing ID from <see name="TargetType"/> and attributes attached to it.
-            If a type is defined as a member in a <see langword="class"/>, <see name="Attributes"/> can be obtained by calling
-            <see cref="M:System.Reflection.MemberInfo.GetCustomAttributes(System.Boolean)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.GetTempColumnName(Microsoft.ML.DataViewSchema,System.String)">
-            <summary>
-            Generate a unique temporary column name for the given schema.
-            Use tag to independently create multiple temporary, unique column
-            names for a single transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.GetTempColumnNames(Microsoft.ML.DataViewSchema,System.Int32,System.String)">
-            <summary>
-            Generate n unique temporary column names for the given schema.
-            Use tag to independently create multiple temporary, unique column
-            names for a single transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.ComputeRowCount(Microsoft.ML.IDataView)">
-            <summary>
-            Get the row count from the input view by any means necessary, even explicit enumeration
-            and counting if <see cref="M:Microsoft.ML.IDataView.GetRowCount"/> insists on returning <c>null</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.GetThreadCount(System.Int32,System.Boolean)">
-            <summary>
-            Get the target number of threads to use, given an indicator of thread count.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.TryCreateConsolidatingCursor(Microsoft.ML.DataViewRowCursor@,Microsoft.ML.IDataView,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},Microsoft.ML.Runtime.IHost,System.Random)">
-            <summary>
-            Try to create a cursor set from upstream and consolidate it here. The host determines
-            the target cardinality of the cursor set.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.CreateSplitCursors(Microsoft.ML.Runtime.IChannelProvider,Microsoft.ML.DataViewRowCursor,System.Int32)">
-            <summary>
-            From the given input cursor, split it into a cursor set with the given
-            cardinality. If not all the active columns are cachable, this will only
-            produce the given input cursor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.AllCacheable(Microsoft.ML.DataViewSchema,System.Func{Microsoft.ML.DataViewSchema.Column,System.Boolean})">
-            <summary>
-            Return whether all the active columns, as determined by the predicate, are
-            cachable - either primitive types or vector types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.AllCacheable(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Return whether all the active columns, as determined by the predicate, are
-            cachable - either primitive types or vector types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.IsCacheable(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Determine whether the given type is cachable - either a primitive type or a vector type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.SameSchemaAndActivity(Microsoft.ML.DataViewRowCursor[])">
-            <summary>
-            Tests whether the cursors are mutually compatible for consolidation,
-            that is, they all are non-null, have the same schemas, and the same
-            set of columns are active.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.ConsolidateGeneric(Microsoft.ML.Runtime.IChannelProvider,Microsoft.ML.DataViewRowCursor[],System.Int32)">
-            <summary>
-            Given a parallel cursor set, this consolidates them into a single cursor. The batchSize
-            is a hint used for efficiency.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter">
-             <summary>
-             A convenience class to facilitate the creation of a split, as well as a convenient
-             place to store shared resources that can be reused among multiple splits of a cursor
-             with the same schema. Since splitting also returns a consolidator, this also contains
-             a consolidating logic.
-            
-             In a very rough sense, both the splitters and consolidators are written in the same way:
-             For all input cursors, and all active columns, an "in pipe" is created. A worker thread
-             per input cursor busily retrieves values from the cursors and stores them in the "in
-             pipe." At appropriate times, "batch" objects are synthesized from the inputs consumed
-             thusfar, and inserted into a blocking collection. The output cursor or cursors likewise
-             have a set of "out pipe" instances, one per each of the active columns, through which
-             successive batches are presented for consumption by the user of the output cursors. Of
-             course, both split and consolidate have many details from which they differ, for example, the
-             consolidator must accept batches as they come and reconcile them among multiple inputs,
-             while the splitter is more free.
-            
-             It is ideal if a data view that could be split retains one of these objects itself,
-             so that multiple splittings will have the capability of sharing buffers from cursoring
-             to cursoring, but this is not required.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter.ExtraIndex">
-            <summary>
-            Pipes, in addition to column values, will also communicate extra information
-            enumerated within this. This enum serves the purpose of providing nice readable
-            indices to these "extra" information in pipes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.CreateInPipe``1(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            An in pipe creator intended to be used from the splitter only.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.CreateIdInPipe(Microsoft.ML.DataViewRow)">
-            <summary>
-            An in pipe creator intended to be used from the splitter only.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter.InPipe">
-            <summary>
-            There is one of these created per input cursor, per "channel" of information
-            (necessary channels include values from active columns, as well as additional
-            side information), in both splitting and consolidating. This is a running buffer
-            of the input cursor's values. It is used to create <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn"/> objects.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.InPipe.CreateOutPipe(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Creates an out pipe corresponding to the in pipe. This is useful for the splitter,
-            when we are creating an in pipe.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn">
-            <summary>
-            These are objects continuously created by the <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.InPipe"/> to spin off the
-            values they have collected. They are collected into a <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.Batch"/>
-            object, and eventually one is consumed by an <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe"/> instance.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter.Batch">
-             <summary>
-             This holds a collection of <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn"/> objects, which together hold all
-             the values from a set of rows from the input cursor. These are produced as needed
-             by the input cursor reader, and consumed by each of the output cursors.
-            
-             This class also serves a secondary role in marshalling exceptions thrown in the workers
-             producing batches, into the threads consuming these batches.
-             <see cref="P:Microsoft.ML.Data.DataViewUtils.Splitter.Batch.HasException"/> lets us know if this is one of these "special" batches.
-             If it is, then the <see cref="M:Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe[])"/> method will throw whenever it is called, by the
-             consumer of the batches.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.Batch.#ctor(Microsoft.ML.Internal.Utilities.MadeObjectPool{Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn[]},Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn[],System.Int32,System.Int64)">
-            <summary>
-            Construct a batch object to communicate the <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn"/> objects to consumers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.Batch.#ctor(System.Exception)">
-            <summary>
-            Construct a batch object to communicate that something went wrong. In this case all other fields
-            will have default values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.Batch.SetAll(Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe[])">
-             <summary>
-             Gives all of the batch columns to the output pipes. This should be called only once,
-             per batch object, because the the batch columns will be returned to the pool.
-            
-             If this was an exception bearing batch, that exception will be propagated and thrown
-             in this.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe">
-            <summary>
-            This helps a cursor present the results of a <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn"/>. Practically its role
-            really is to just provide a stable delegate for the <see cref="M:Microsoft.ML.DataViewRow.GetGetter``1(Microsoft.ML.DataViewSchema.Column)"/>.
-            There is one of these created per column, per output cursor, i.e., in splitting
-            there are <c>n</c> of these created per column, and when consolidating only one of these
-            is created per column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe.CreateInPipe(System.Delegate)">
-            <summary>
-            Creates an in pipe corresponding to this out pipe. Useful for the consolidator,
-            when we are creating many in pipes from a single out pipe.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe.Set(Microsoft.ML.Data.DataViewUtils.Splitter.BatchColumn)">
-            <summary>
-            Sets this <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe"/> to start presenting the output of a batch column.
-            Note that this positions the output on the first item, not before the first item,
-            so it is not necessary to call <see cref="M:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe.MoveNext"/> to get the first value.
-            </summary>
-            <param name="batchCol">The batch column whose values we should start presenting.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe.MoveNext">
-            <summary>
-            Moves to the next value. Note that this should be called only when we are certain that
-            we have a next value to move to, that is, when <see cref="P:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe.Remaining"/> is non-zero.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.Splitter.Cursor">
-            <summary>
-            A cursor used by both the splitter and consolidator, that iteratively consumes
-            <see cref="P:Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.Batch"/> objects from the input blocking collection, and yields the
-            values stored therein through the help of <see cref="T:Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe"/> objects.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.#ctor(Microsoft.ML.Runtime.IChannelProvider,Microsoft.ML.DataViewSchema,System.Int32[],System.Int32[],Microsoft.ML.Data.DataViewUtils.Splitter.OutPipe[],System.Collections.Concurrent.BlockingCollection{Microsoft.ML.Data.DataViewUtils.Splitter.Batch},System.Action)">
-            <summary>
-            Constructs one of the split cursors.
-            </summary>
-            <param name="provider">The channel provider.</param>
-            <param name="schema">The schema.</param>
-            <param name="activeToCol">The mapping from active indices, to input column indices.</param>
-            <param name="colToActive">The reverse mapping from input column indices to active indices,
-            where -1 is present if this column is not active.</param>
-            <param name="pipes">The output pipes, one per channel of information</param>
-            <param name="batchInputs"></param>
-            <param name="quitAction"></param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.Splitter.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewUtils.SynchronousConsolidatingCursor">
-            <summary>
-            This is a consolidating cursor that is usable even with cursors that are uncachable,
-            at the cost of being totally synchronous, that is, there is no parallel benefit from
-            having split the input cursors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.SynchronousConsolidatingCursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewUtils.SynchronousConsolidatingCursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.IMultiStreamSource">
-            <summary>
-            An interface for exposing some number of items that can be opened for reading.
-            </summary>
-            REVIEW: Reconcile this with the functionality exposed by IHostEnvironment. For example,
-            we could simply replace this with an array of IFileHandle.
-        </member>
-        <member name="P:Microsoft.ML.Data.IMultiStreamSource.Count">
-            <summary>
-            Gets the number of items.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMultiStreamSource.GetPathOrNull(System.Int32)">
-            <summary>
-            Return a string representing the "path" to the index'th stream. May return null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMultiStreamSource.Open(System.Int32)">
-            <summary>
-            Opens the indicated item and returns a readable stream on it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMultiStreamSource.OpenTextReader(System.Int32)">
-            <summary>
-            Opens the indicated item and returns a text stream reader on it.
-            </summary>
-            REVIEW: Consider making this an extension method.
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureDataLoader">
-            <summary>
-            Signature for creating an <see cref="T:Microsoft.ML.Data.ILegacyDataLoader"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureLoadDataLoader">
-            <summary>
-            Signature for loading an <see cref="T:Microsoft.ML.Data.ILegacyDataLoader"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ILegacyDataLoader">
-            <summary>
-            Interface for a data loader. An <see cref="T:Microsoft.ML.Data.ILegacyDataLoader"/> can save its model information
-            and is instantiatable from arguments and an <see cref="T:Microsoft.ML.Data.IMultiStreamSource"/> .
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IDataSaver.IsColumnSavable(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Check if the column can be saved.
-            </summary>
-            <returns>True if the column is savable.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IDataSaver.SaveData(System.IO.Stream,Microsoft.ML.IDataView,System.Int32[])">
-            <summary>
-            Save the data into the given stream. The stream should be kept open.
-            </summary>
-            <param name="stream">The stream that the data will be written.</param>
-            <param name="data">The data to be saved.</param>
-            <param name="cols">The list of column indices to be saved.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureDataTransform">
-            <summary>
-            Signature for creating an <see cref="T:Microsoft.ML.Data.IDataTransform"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureLoadDataTransform">
-            <summary>
-            Signature for loading an <see cref="T:Microsoft.ML.Data.IDataTransform"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IDataTransform">
-            <summary>
-            Interface for a data transform. An <see cref="T:Microsoft.ML.Data.IDataTransform"/> can save its model information
-            and is instantiatable from arguments and an input <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ITransformTemplate">
-            <summary>
-            Data transforms need to be able to apply themselves to a different input IDataView.
-            This interface allows them to implement custom rebinding logic.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IRowSeekable">
-            <summary>
-            Represents a data view that supports random access to a specific row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowSeeker">
-            <summary>
-            Represents a row seeker with random access that can retrieve a specific row by the row index.
-            For <see cref="T:Microsoft.ML.Data.RowSeeker"/>, when the state is valid (that is when <see cref="M:Microsoft.ML.Data.RowSeeker.MoveTo(System.Int64)"/>
-            returns <see langword="true"/>), it returns the current row index. Otherwise it's -1.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowSeeker.MoveTo(System.Int64)">
-            <summary>
-            Moves the seeker to a row at a specific row index.
-            If the row index specified is out of range (less than zero or not less than the
-            row count), it returns false and sets its Position property to -1.
-            </summary>
-            <param name="rowIndex">The row index to move to.</param>
-            <returns>True if a row with specified index is found; false otherwise.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.ITransposeDataView">
-             <summary>
-             A view of data where columns can optionally be accessed slot by slot, as opposed to row
-             by row in a typical dataview. A slot-accessible column can be accessed with a slot-by-slot
-             cursor via an <see cref="T:Microsoft.ML.Data.SlotCursor"/> returned by <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotCursor(System.Int32)"/>
-             (naturally, as opposed to row-by-row through an <see cref="T:Microsoft.ML.DataViewRowCursor"/>). This interface
-             is intended to be implemented by classes that want to provide an option for an alternate
-             way of accessing the data stored in a <see cref="T:Microsoft.ML.IDataView"/>.
-            
-             The interface only advertises that columns may be accessible in slot-wise fashion. The i-th column
-             is accessible in this fashion iff <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotType(System.Int32)"/> with col=i doesn't return <see langword="null"/>.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ITransposeDataView.GetSlotCursor(System.Int32)">
-            <summary>
-            Presents a cursor over the slots of a transposable column, or throws if the column
-            is not transposable.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ITransposeDataView.GetSlotType(System.Int32)">
-            <summary>
-            <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotType(System.Int32)"/> (input argument is named col) specifies the type of all values at the col-th column of
-            <see cref="T:Microsoft.ML.IDataView"/>.  For example, if <see cref="P:Microsoft.ML.IDataView.Schema"/>[i] is a scalar float column, then
-            <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotType(System.Int32)"/> with col=i may return a <see cref="T:Microsoft.ML.Data.VectorDataViewType"/> whose <see cref="P:Microsoft.ML.Data.VectorDataViewType.ItemType"/>
-            field is <see cref="P:Microsoft.ML.Data.NumberDataViewType.Single"/>. If the i-th column can't be iterated column-wisely, this function may
-            return <see langword="null"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetGetterAsDelegate(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Returns an appropriate <see cref="T:Microsoft.ML.ValueGetter`1"/> for a row given an active column
-            index, but as a delegate. The type parameter for the delegate will correspond to the
-            raw type of the column.
-            </summary>
-            <param name="row">The row to get the getter for</param>
-            <param name="col">The column index, which must be active on that row</param>
-            <returns>The getter as a delegate</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetGetterAs(Microsoft.ML.Data.DataViewType,Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Given a destination type, <see cref="T:Microsoft.ML.DataViewRow"/>, and column index, return a ValueGetter for the column
-            with a conversion to typeDst, if needed. This is a weakly typed version of
-            <see cref="M:Microsoft.ML.Data.RowCursorUtils.GetGetterAs``1(Microsoft.ML.Data.DataViewType,Microsoft.ML.DataViewRow,System.Int32)"/>.
-            </summary>
-            <seealso cref="M:Microsoft.ML.Data.RowCursorUtils.GetGetterAs``1(Microsoft.ML.Data.DataViewType,Microsoft.ML.DataViewRow,System.Int32)"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetGetterAs``1(Microsoft.ML.Data.DataViewType,Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Given a destination type, <see cref="T:Microsoft.ML.DataViewRow"/>, and column index, return a ValueGetter{TDst} for the column
-            with a conversion to typeDst, if needed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetGetterAsStringBuilder(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Given a <see cref="T:Microsoft.ML.DataViewRow"/>, and column index, return a function that utilizes the
-            <see cref="M:Microsoft.ML.Data.Conversion.Conversions.GetStringConversion``1(Microsoft.ML.Data.DataViewType)"/> on the input
-            rows to map the values in the column, whatever type they may be, into a string
-            builder. This method will obviously succeed only if there is a string conversion
-            into the required type. This method can be useful if you want to output a value
-            as a string in a generic way, but don't really care how you do it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetVecGetterAs(Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Given the item type, typeDst, a row, and column index, return a ValueGetter for the vector-valued
-            column with a conversion to a vector of typeDst, if needed. This is the weakly typed version of
-            <see cref="M:Microsoft.ML.Data.RowCursorUtils.GetVecGetterAs``1(Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.DataViewRow,System.Int32)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetVecGetterAs``1(Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Given the item type, typeDst, a row, and column index, return a ValueGetter{VBuffer{TDst}} for the
-            vector-valued column with a conversion to a vector of typeDst, if needed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetVecGetterAs``1(Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.Data.SlotCursor)">
-            <summary>
-            Given the item type, typeDst, and a slot cursor, return a ValueGetter{VBuffer{TDst}} for the
-            vector-valued column with a conversion to a vector of typeDst, if needed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowCursorUtils.GetterFactory">
-            <summary>
-            A convenience wrapper to generalize the operation of fetching a <see cref="T:Microsoft.ML.ValueGetter`1"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.GetIsNewGroupDelegate(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            This method returns a small helper delegate that returns whether we are at the start
-            of a new group, that is, we have just started, or the key-value at indicated column
-            is different than it was, in the last call. This is practically useful for determining
-            group boundaries. Note that the delegate will return true on the first row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.Fetch``1(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.DataViewRow,System.String)">
-            <summary>
-            Fetches the value of the column by name, in the given row.
-            Used by the evaluators to retrieve the metrics from the results IDataView.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.RowAsDataView(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewRow)">
-            <summary>
-            Given a row, returns a one-row data view. This is useful for cases where you have a row, and you
-            wish to use some facility normally only exposed to dataviews. (For example, you have an <see cref="T:Microsoft.ML.DataViewRow"/>
-            but want to save it somewhere using a <see cref="T:Microsoft.ML.Data.IO.BinarySaver"/>.)
-            Note that it is not possible for this method to ensure that the input <paramref name="row"/> does not
-            change, so users of this convenience must take care of what they do with the input row or the data
-            source it came from, while the returned dataview is potentially being used.
-            </summary>
-            <param name="env">An environment used to create the host for the resulting data view</param>
-            <param name="row">A row, whose columns must all be active</param>
-            <returns>A single-row data view incorporating that row</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.FromColumnsToPredicate(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},Microsoft.ML.DataViewSchema)">
-            <summary>
-            Given a collection of <see cref="T:Microsoft.ML.DataViewSchema.Column"/>, that is a subset of the Schema of the data, create a predicate,
-            that when passed a column index, will return <langword>true</langword> or <langword>false</langword>, based on whether
-            the column with the given <see cref="P:Microsoft.ML.DataViewSchema.Column.Index"/> is part of the <paramref name="columnsNeeded"/>.
-            </summary>
-            <param name="columnsNeeded">The subset of columns from the <see cref="T:Microsoft.ML.DataViewSchema"/> that are needed from this <see cref="T:Microsoft.ML.DataViewRowCursor"/>.</param>
-            <param name="sourceSchema">The <see cref="T:Microsoft.ML.DataViewSchema"/> from where the columnsNeeded originate.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.OneRowDataView.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowCursorUtils.OneRowDataView.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.RowCursorUtils.FetchValueStateError">
-            <summary>
-            This is an error message meant to be used in the situation where a user calls a delegate as returned from
-            <see cref="M:Microsoft.ML.DataViewRow.GetIdGetter"/> or <see cref="M:Microsoft.ML.DataViewRow.GetGetter``1(Microsoft.ML.DataViewSchema.Column)"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaAnnotationsExtensions">
-            <summary>
-            Extension methods to facilitate easy consumption of popular contents of <see cref="P:Microsoft.ML.DataViewSchema.Column.Annotations"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.HasSlotNames(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns <see langword="true"/> if the input column is of <see cref="T:Microsoft.ML.Data.VectorDataViewType"/>, and that has
-            <c>SlotNames</c> annotation of a <see cref="T:Microsoft.ML.Data.VectorDataViewType"/> whose <see cref="P:Microsoft.ML.Data.VectorDataViewType.ItemType"/>
-            is of <see cref="T:Microsoft.ML.Data.TextDataViewType"/>, and further whose <see cref="P:Microsoft.ML.Data.VectorDataViewType.Size"/> matches
-            this input vector size.
-            </summary>
-            <param name="column">The column whose <see cref="P:Microsoft.ML.DataViewSchema.Column.Annotations"/> will be queried.</param>
-            <seealso cref="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.GetSlotNames(Microsoft.ML.DataViewSchema.Column,Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}@)"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.GetSlotNames(Microsoft.ML.DataViewSchema.Column,Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}@)">
-            <summary>
-            Stores the slots names of the input column into the provided buffer, if there are slot names.
-            Otherwise it will throw an exception.
-            </summary>
-            <seealso cref="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.HasSlotNames(Microsoft.ML.DataViewSchema.Column)"/>
-            <param name="column">The column whose <see cref="P:Microsoft.ML.DataViewSchema.Column.Annotations"/> will be queried.</param>
-            <param name="slotNames">The <see cref="T:Microsoft.ML.Data.VBuffer`1"/> into which the slot names will be stored.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.HasKeyValues(Microsoft.ML.DataViewSchema.Column,Microsoft.ML.Data.PrimitiveDataViewType)">
-            <summary>
-            Returns <see langword="true"/> if the input column is of <see cref="T:Microsoft.ML.Data.VectorDataViewType"/>, and that has
-            <c>SlotNames</c> annotation of a <see cref="T:Microsoft.ML.Data.VectorDataViewType"/> whose <see cref="P:Microsoft.ML.Data.VectorDataViewType.ItemType"/>
-            is of <see cref="T:Microsoft.ML.Data.TextDataViewType"/>, and further whose <see cref="P:Microsoft.ML.Data.VectorDataViewType.Size"/> matches
-            this input vector size.
-            </summary>
-            <param name="column">The column whose <see cref="P:Microsoft.ML.DataViewSchema.Column.Annotations"/> will be queried.</param>
-            <param name="keyValueItemType">The type of the individual key-values to query. A common,
-            though not universal, type to provide is <see cref="P:Microsoft.ML.Data.TextDataViewType.Instance"/>, so if left unspecified
-            this will be assumed to have the value <see cref="P:Microsoft.ML.Data.TextDataViewType.Instance"/>.</param>
-            <seealso cref="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.GetKeyValues``1(Microsoft.ML.DataViewSchema.Column,Microsoft.ML.Data.VBuffer{``0}@)"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.GetKeyValues``1(Microsoft.ML.DataViewSchema.Column,Microsoft.ML.Data.VBuffer{``0}@)">
-            <summary>
-            Stores the key values of the input column into the provided buffer, if this is of key type and whose
-            key values are of <see cref="P:Microsoft.ML.Data.VectorDataViewType.ItemType"/> whose <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/> matches
-            <typeparamref name="TValue"/>. If there is no matching key valued annotation this will throw an exception.
-            </summary>
-            <typeparam name="TValue">The type of the key values.</typeparam>
-            <param name="column">The column whose <see cref="P:Microsoft.ML.DataViewSchema.Column.Annotations"/> will be queried.</param>
-            <param name="keyValues">The <see cref="T:Microsoft.ML.Data.VBuffer`1"/> into which the key values will be stored.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaAnnotationsExtensions.IsNormalized(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns <see langword="true"/> if and only if <paramref name="column"/> has <c>IsNormalized</c> annotation
-            set to <see langword="true"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.KeyTypeAttribute">
-            <summary>
-            Allow member to be marked as a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.
-            </summary>
-            <remarks>
-            Can be applied only for member of following types: <see cref="T:System.Byte"/>, <see cref="T:System.UInt16"/>, <see cref="T:System.UInt32"/>, <see cref="T:System.UInt64"/>
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyTypeAttribute.#ctor">
-            <summary>
-            Marks member as <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.
-            </summary>
-            <remarks>
-            Cardinality of <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> would be maximum legal value of member type.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyTypeAttribute.#ctor(System.UInt64)">
-            <summary>
-            Marks member as <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> and specifies <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> cardinality.
-            In case of the attribute being used with int types, the <paramref name="count"/> should be set to one more than
-            the maximum value to account for counting starting at 1 (0 is reserved for the missing KeyType). E.g the cardinality of the
-            0-9 range is 10.
-            If the values are outside of the specified cardinality they will be mapped to the missing value representation: 0.
-            </summary>
-            <param name="count">Cardinality of <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-        </member>
-        <member name="P:Microsoft.ML.Data.KeyTypeAttribute.KeyCount">
-            <summary>
-            The key count.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.VectorTypeAttribute">
-            <summary>
-            Allows a member to be marked as a <see cref="T:Microsoft.ML.Data.VectorDataViewType"/>, primarily allowing one to set
-            the dimensionality of the resulting array.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.VectorTypeAttribute.Dims">
-            <summary>
-            The length of the vectors from this vector valued field.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VectorTypeAttribute.#ctor">
-            <summary>
-            Mark member as single-dimensional array with unknown size.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VectorTypeAttribute.#ctor(System.Int32)">
-            <summary>
-            Mark member as single-dimensional array with specified size.
-            </summary>
-            <param name="size">Expected size of array. A zero value indicates that the vector type is considered to have unknown length.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VectorTypeAttribute.#ctor(System.Int32[])">
-            <summary>
-            Mark member with expected dimensions of array. Notice that this attribute is expected to be added to one dimensional arrays,
-            and it shouldn't be added to multidimensional arrays. Internally, ML.NET will use the shape information provided as the
-            "dimensions" param of this constructor, to use it as a multidimensional array.
-            </summary>
-            <param name="dimensions">Dimensions of array. All values should be non-negative.
-            A zero value indicates that the vector type is considered to have unknown length along that dimension.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnNameAttribute">
-            <summary>
-            Allows a member to specify <see cref="T:Microsoft.ML.IDataView"/> column name directly, as opposed to the default
-            behavior of using the member name as the column name.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ColumnNameAttribute.Name">
-            <summary>
-            Column name.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnNameAttribute.#ctor(System.String)">
-            <summary>
-            Allows one to specify a name to expose this column as, as opposed to the default
-            behavior of using the member name as the column name.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.NoColumnAttribute">
-            <summary>
-            Mark this member as not being exposed as a <see cref="T:Microsoft.ML.IDataView"/> column in the <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CursorChannelAttribute">
-            <summary>
-            Mark a member that implements exactly IChannel as being permitted to receive
-            channel information from an external channel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.CursorChannelAttribute.TrySetCursorChannel``1(Microsoft.ML.Runtime.IExceptionContext,``0,Microsoft.ML.Runtime.IChannel)">
-             <summary>
-             When passed some object, and a channel, it attempts to pass the channel to the object. It
-             passes the channel to the object iff the object has exactly one field marked with the
-             CursorChannelAttribute, and that field implements only the IChannel interface.
-            
-             The function returns the modified object, as well as a boolean indicator of whether it was
-             able to pass the channel to the object.
-             </summary>
-             <param name="obj">The object that attempts to acquire the channel.</param>
-             <param name="channel">The channel to pass to the object.</param>
-             <param name="ectx">The exception context.</param>
-             <returns>1. A boolean indicator of whether the channel was successfully passed to the object.
-             2. The object passed in (only modified by the addition of the channel to the field
-             with the CursorChannelAttribute, if the channel was added successfully).</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaDefinition">
-            <summary>
-            This class defines a schema of a typed data view.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaDefinition.Column">
-            <summary>
-            One column of the data view.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SchemaDefinition.Column.MemberName">
-            <summary>
-            The name of the member the column is taken from. The API
-            requires this to not be null, and a valid name of a member of
-            the type for which we are creating a schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SchemaDefinition.Column.ColumnName">
-            <summary>
-            The name of the column that's created in the data view. If this
-            is null, the API uses the <see cref="P:Microsoft.ML.Data.SchemaDefinition.Column.MemberName"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SchemaDefinition.Column.ColumnType">
-            <summary>
-            The column type. If this is null, the API attempts to derive a type
-            from the member's type.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SchemaDefinition.Column.Generator">
-            <summary>
-            The generator function. if the column is computed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaDefinition.Column.AddAnnotation``1(System.String,``0,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Add annotation to the column.
-            </summary>
-            <typeparam name="T">Type of annotation being added. Types sported as entries in columns
-            are also supported as entries in Annotations. Multiple annotations may be added to one column.
-            </typeparam>
-            <param name="kind">The string identifier of the annotation.</param>
-            <param name="value">Value of annotation.</param>
-            <param name="annotationType">Type of value.</param>
-        </member>
-        <member name="P:Microsoft.ML.Data.SchemaDefinition.Column.Annotations">
-            <summary>
-            Returns annotations kind and type associated with this column.
-            </summary>
-            <returns>A dictionary with the kind of the annotation as the key, and the
-            annotation type as the associated value.</returns>
-        </member>
-        <member name="P:Microsoft.ML.Data.SchemaDefinition.Item(System.String)">
-            <summary>
-            Get or set the column definition by column name.
-            If there's no such column:
-            - get returns null,
-            - set adds a new column.
-            If there's more than one column with the same name:
-            - get returns the first column,
-            - set replaces the first column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaDefinition.Create(System.Type,Microsoft.ML.Data.SchemaDefinition.Direction)">
-            <summary>
-            Create a schema definition by enumerating all public fields of the given type.
-            </summary>
-            <param name="userType">The type to base the schema on.</param>
-            <param name="direction">Accept fields and properties based on their direction.</param>
-            <returns>The generated schema definition.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.SlotCursor">
-            <summary>
-            A cursor that allows slot-by-slot access of data. This is to <see cref="T:Microsoft.ML.Data.ITransposeDataView"/>
-            what <see cref="T:Microsoft.ML.DataViewRowCursor"/> is to <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SlotCursor.IsGood">
-            <summary>
-            Whether the cursor is in a state where it can serve up data, that is, <see cref="M:Microsoft.ML.Data.SlotCursor.MoveNext"/>
-            has been called and returned <see langword="true"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SlotCursor.SlotIndex">
-            <summary>
-            The slot index. Incremented by one when <see cref="M:Microsoft.ML.Data.SlotCursor.MoveNext"/> is called and returns <see langword="true"/>.
-            When initially created, or after <see cref="M:Microsoft.ML.Data.SlotCursor.MoveNext"/> returns <see langword="false"/>, this will be <c>-1</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SlotCursor.MoveNext">
-            <summary>
-            Advance to the next slot. When the cursor is first created, this method should be called to
-            move to the first slot. Returns <see langword="false"/> if there are no more slots.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SlotCursor.GetSlotType">
-            <summary>
-            The slot type for this cursor. Note that this should equal the
-            <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotType(System.Int32)"/> for the column from which this slot cursor
-            was created.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SlotCursor.GetGetter``1">
-            <summary>
-            A getter delegate for the slot values. The type <typeparamref name="TValue"/> must correspond
-            to the item type from <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotType(System.Int32)"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SlotCursor.SynchronizedSlotCursor">
-            <summary>
-            For wrapping another slot cursor from which we get <see cref="P:Microsoft.ML.Data.SlotCursor.SynchronizedSlotCursor.SlotIndex"/> and <see cref="M:Microsoft.ML.Data.SlotCursor.SynchronizedSlotCursor.MoveNext"/>,
-            but not the data or type accesors. Somewhat analogous to the <see cref="T:Microsoft.ML.Data.SynchronizedCursorBase"/>
-            for <see cref="T:Microsoft.ML.DataViewRowCursor"/>s.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SlotCursor.RootSlotCursor">
-            <summary>
-            A useful base class for common <see cref="T:Microsoft.ML.Data.SlotCursor"/> implementations, somewhat
-            analogous to the <see cref="T:Microsoft.ML.Data.RootCursorBase"/> for <see cref="T:Microsoft.ML.DataViewRowCursor"/>s.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SlotCursor.RootSlotCursor.MoveNextCore">
-            <summary>
-            Core implementation of <see cref="M:Microsoft.ML.Data.SlotCursor.RootSlotCursor.MoveNext"/>. This is called only if this method
-            has not yet previously returned <see langword="false"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sources">
-            <summary>
-            A collection of source column indices after removing those we want to drop. Specifically, j=_sources[i] means
-            that the i-th output column in the output schema is the j-th column in the input schema.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sourceSchema">
-            <summary>
-            Input schema of this transform. It's useful when determining column dependencies and other
-            relations between input and output schemas.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._selectedColumnIndexes">
-            <summary>
-            Some column indexes in the input schema. <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sources"/> is computed from <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._selectedColumnIndexes"/>
-            and <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._drop"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._drop">
-            <summary>
-            True, if this transform drops selected columns indexed by <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._selectedColumnIndexes"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings.ComputeSources(System.Boolean,System.Int32[],Microsoft.ML.DataViewSchema,System.Int32[]@)">
-            <summary>
-            Common method of computing <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sources"/> from necessary parameters. This function is used in constructors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings.ComputeOutputSchema">
-            <summary>
-            After <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sourceSchema"/> and <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sources"/> are set, pick up selected columns from <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sourceSchema"/> to create <see cref="P:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings.OutputSchema"/>
-            Note that <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sources"/> tells us what columns in <see cref="F:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings._sourceSchema"/> are put into <see cref="P:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings.OutputSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Bindings.GetSourceColumnIndex(System.Int32)">
-            <summary>
-            Given the column index in the output schema, this function returns its source column's index in the input schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ChooseColumnsByIndexTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ChooseColumnsByIndexTransform.Options,Microsoft.ML.IDataView)">
-            <summary>
-            Public constructor corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ChooseColumnsByIndexTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="F:Microsoft.ML.Data.AnomalyDetectionEvaluator.TopKResults">
-            <summary>
-            The anomaly detection evaluator outputs a data view by this name, which contains the the examples
-            with the top scores in the test set. It contains the three columns listed below, with each row corresponding
-            to one test example.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.AnomalyDetectionEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored anomaly detection data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="label">The name of the label column in <paramref name="data"/>.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabel">The name of the predicted label column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these outputs.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.EvaluatorBase`1">
-            <summary>
-            This is a base class for TLC evaluators. It implements both of the <see cref="T:Microsoft.ML.Data.IEvaluator"/> methods: <see cref="T:Microsoft.ML.Data.Evaluate"/> and
-             <see cref="M:Microsoft.ML.Data.EvaluatorBase`1.GetPerInstanceMetricsCore(Microsoft.ML.Data.RoleMappedData)"/>. Note that the input <see cref="T:Microsoft.ML.Data.RoleMappedData"/> is assumed to contain all the column
-            roles needed for evaluation, including the score column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.UnweightedAuPrcAggregator.ComputeWeightedAuPrcCore(System.Double@)">
-            <summary>
-            Compute the AUPRC using the "lower trapesoid" estimator, as described in the paper
-            <a href="https://www.ecmlpkdd2013.org/wp-content/uploads/2013/07/aucpr_2013ecml_corrected.pdf">https://www.ecmlpkdd2013.org/wp-content/uploads/2013/07/aucpr_2013ecml_corrected.pdf</a>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.WeightedAuPrcAggregator.ComputeWeightedAuPrcCore(System.Double@)">
-            <summary>
-            Compute the AUPRC using the "lower trapesoid" estimator, as described in the paper
-            <a href="https://www.ecmlpkdd2013.org/wp-content/uploads/2013/07/aucpr_2013ecml_corrected.pdf">https://www.ecmlpkdd2013.org/wp-content/uploads/2013/07/aucpr_2013ecml_corrected.pdf</a>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.CheckColumnTypes(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Checks the column types of the evaluator's input columns. The base class implementation checks only the type
-            of the weight column, and all other columns should be checked by the deriving classes in <see cref="M:Microsoft.ML.Data.EvaluatorBase`1.CheckCustomColumnTypesCore(Microsoft.ML.Data.RoleMappedSchema)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.CheckScoreAndLabelTypes(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Check that the types of the score and label columns are as expected by the evaluator. The <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/>
-            is assumed to contain the label column (if it exists) and the score column.
-            Access the label column with the <see cref="P:Microsoft.ML.Data.RoleMappedSchema.Label"/> property, and the score column with the
-            <see cref="M:Microsoft.ML.Data.RoleMappedSchema.GetUniqueColumn(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)"/> or <see cref="M:Microsoft.ML.Data.RoleMappedSchema.GetColumns(Microsoft.ML.Data.RoleMappedSchema.ColumnRole)"/> methods.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.CheckCustomColumnTypesCore(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Check the types of any other columns needed by the evaluator. Only override if the evaluator uses
-            columns other than label, score and weight.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.GetActiveColsCore(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Used in the Evaluate() method, to get the predicate for cursoring over the data.
-            The base class implementation activates the score column, the label column if it exists, the weight column if it exists
-            and the stratification columns.
-            Override if other input columns need to be activated.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.GetAggregator(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Get an aggregator for the specific evaluator given the current RoleMappedSchema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.GetAggregatorDictionaries(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            For each stratification column, get an aggregator dictionary.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.GetAggregatorConsolidationFuncs(`0,Microsoft.ML.Data.EvaluatorBase{`0}.AggregatorDictionaryBase[],System.Action{System.UInt32,System.ReadOnlyMemory{System.Char},`0}@,System.Func{System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView}}@)">
-            <summary>
-            This method returns two functions used to create the data views of metrics computed by the different
-            aggregators (the overall one, and any stratified ones if they exist). The <paramref name="addAgg"/>
-            function is called for every aggregator, and it is where the aggregators should finish their aggregations
-            and the aggregator results should be stored. The <paramref name="consolidate"/> function
-            is called after <paramref name="addAgg"/> has been called on all the aggregators, and it returns
-            the dictionary of metric data views.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase">
-            <summary>
-            This is a helper class for evaluators deriving from EvaluatorBase, used for computing aggregate metrics.
-            Aggregators should keep track of the number of passes done. The <see cref="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.InitializeNextPass(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedSchema)"/> method should get
-            the input getters of the given <see cref="T:Microsoft.ML.DataViewRow"/> that are needed for the current pass, assuming that all the needed column
-            information is stored in the given <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/>.
-            In <see cref="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.ProcessRow"/> the aggregator should call the getters once, and process the input as needed.
-            <see cref="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.FinishPass"/> increments the pass count after each pass.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.InitializeNextPass(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            This method should get the getters of the new <see cref="T:Microsoft.ML.DataViewRow"/> that are needed for the next pass.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.ProcessRow">
-            <summary>
-            Call the getters once, and process the input as necessary.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.FinishPass">
-            <summary>
-            Increment the pass count. Return true if additional passes are needed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorBase.GetWarnings(System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView},Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Returns a dictionary from metric kinds to data views containing the metrics.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorDictionaryBase.Reset(Microsoft.ML.DataViewRow)">
-            <summary>
-            Gets the stratification column getter for the new <see cref="T:Microsoft.ML.DataViewRow"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorDictionaryBase.Get">
-            <summary>
-            This method calls the getter of the stratification column, and returns the aggregator corresponding to
-            the stratification value.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluatorBase`1.AggregatorDictionaryBase.GetAll">
-            <summary>
-            This method returns the aggregators corresponding to all the stratification values seen so far.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.BinaryClassifierEvaluator.PrCurve">
-            <summary>
-            Binary classification evaluator outputs a data view with this name, which contains the p/r data.
-            It contains the columns listed below, and in case data also contains a weight column, it contains
-            also columns for the weighted values.
-            and false positive rate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassifierEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored binary classification data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="label">The name of the label column in <paramref name="data"/>.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="probability">The name of the probability column in <paramref name="data"/>, the calibrated version of <paramref name="score"/>.</param>
-            <param name="predictedLabel">The name of the predicted label column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassifierEvaluator.EvaluateWithPRCurve(Microsoft.ML.IDataView,System.String,System.String,System.String,System.String,System.Collections.Generic.List{Microsoft.ML.Data.BinaryPrecisionRecallDataPoint}@)">
-            <summary>
-            Evaluates scored binary classification data and generates precision recall curve data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="label">The name of the label column in <paramref name="data"/>.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="probability">The name of the probability column in <paramref name="data"/>, the calibrated version of <paramref name="score"/>.</param>
-            <param name="predictedLabel">The name of the predicted label column in <paramref name="data"/>.</param>
-            <param name="prCurve">The generated precision recall curve data. Up to 100000 of samples are used for p/r curve generation.</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassifierEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored binary classification data, without probability-based metrics.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="label">The name of the label column in <paramref name="data"/>.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabel">The name of the predicted label column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these uncalibrated outputs.</returns>
-            <seealso cref="M:Microsoft.ML.Data.BinaryClassifierEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassifierEvaluator.EvaluateWithPRCurve(Microsoft.ML.IDataView,System.String,System.String,System.String,System.Collections.Generic.List{Microsoft.ML.Data.BinaryPrecisionRecallDataPoint}@)">
-            <summary>
-            Evaluates scored binary classification data, without probability-based metrics
-            and generates precision recall curve data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="label">The name of the label column in <paramref name="data"/>.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabel">The name of the predicted label column in <paramref name="data"/>.</param>
-            <param name="prCurve">The generated precision recall curve data. Up to 100000 of samples are used for p/r curve generation.</param>
-            <returns>The evaluation results for these uncalibrated outputs.</returns>
-            <seealso cref="M:Microsoft.ML.Data.BinaryClassifierEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Data.ClusteringEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored clustering data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="label">The name of the optional label column in <paramref name="data"/>.</param>
-            <param name="features">The name of the optional feature column in <paramref name="data"/>.</param>
-            <returns>The evaluation results.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.PerInstanceEvaluatorBase">
-            <summary>
-            This is a helper class for creating the per-instance IDV.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerInstanceEvaluatorBase.SaveModel(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Derived class, for example A, should overwrite <see cref="M:Microsoft.ML.Data.PerInstanceEvaluatorBase.SaveModel(Microsoft.ML.ModelSaveContext)"/> so that ((<see cref="T:Microsoft.ML.ICanSaveModel"/>)A).Save(ctx) can correctly dump A.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.GetScoreColumn(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.DataViewSchema,System.String,System.String,System.String,System.String,System.String)">
-            <summary>
-            Find the score column to use. If <paramref name="name"/> is specified, that is used. Otherwise, this searches
-            for the most recent score set of the given <paramref name="kind"/>. If there is no such score set and
-            <paramref name="defName"/> is specifed it uses <paramref name="defName"/>. Otherwise, it throws.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.GetOptAuxScoreColumn(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.DataViewSchema,System.String,System.String,System.Int32,System.String,System.Func{Microsoft.ML.Data.DataViewType,System.Boolean})">
-            <summary>
-            Find the optional auxiliary score column to use. If <paramref name="name"/> is specified, that is used.
-            Otherwise, if <paramref name="colScore"/> is part of a score set, this looks in the score set for a column
-            with the given <paramref name="valueKind"/>. If none is found, it returns <see langword="null"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.GetColName(System.String,System.Nullable{Microsoft.ML.DataViewSchema.Column},System.String)">
-            <summary>
-            If <paramref name="str"/> is non-empty, returns it. Otherwise if <paramref name="info"/> is non-<see langword="null"/>,
-            returns its <see cref="P:Microsoft.ML.DataViewSchema.Column.Name"/>. Otherwise, returns <paramref name="def"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.GetMetrics(Microsoft.ML.IDataView,System.Boolean)">
-            <summary>
-            Helper method to get an IEnumerable of double metrics from an overall metrics IDV produced by an evaluator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.AddFoldIndex(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            Add a text column containing a fold index to a data view.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="input">The data view to which we add the column</param>
-            <param name="curFold">The current fold this data view belongs to.</param>
-            <returns>The input data view with an additional text column containing the current fold index.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.AddFoldIndex(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Int32,System.Int32)">
-            <summary>
-            Add a key type column containing a fold index to a data view.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="input">The data view to which we add the column</param>
-            <param name="curFold">The current fold this data view belongs to.</param>
-            <param name="numFolds">The total number of folds.</param>
-            <returns>The input data view with an additional key type column containing the current fold index.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.ReconcileSlotNames``1(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView[],System.String,Microsoft.ML.Data.PrimitiveDataViewType,``0)">
-            <summary>
-            This method takes an array of data views and a specified input vector column, and adds a new output column to each of the data views.
-            First, we find the union set of the slot names in the different data views. Next we define a new vector column for each
-            data view, indexed by the union of the slot names. For each data view, every slot value is the value in the slot corresponding
-            to its slot name in the original column. If a reconciled slot name does not exist in an input column, the value in the output
-            column is def.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.ReconcileKeyValues(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView[],System.String,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            This method takes an array of data views and a specified input key column, and adds a new output column to each of the data views.
-            First, we find the union set of the key values in the different data views. Next we define a new key column for each
-            data view, with the union of the key values as the new key values. For each data view, the value in the output column is the value
-            corresponding to the key value in the original column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.ReconcileKeyValuesWithNoNames(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView[],System.String,System.UInt64)">
-            <summary>
-            This method takes an array of data views and a specified input key column, and adds a new output column to each of the data views.
-            First, we find the union set of the key values in the different data views. Next we define a new key column for each
-            data view, with the union of the key values as the new key values. For each data view, the value in the output column is the value
-            corresponding to the key value in the original column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.ReconcileVectorKeyValues(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView[],System.String,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            This method is similar to <see cref="M:Microsoft.ML.Data.EvaluateUtils.ReconcileKeyValues(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView[],System.String,Microsoft.ML.Data.DataViewType)"/>, but it reconciles the key values over vector
-            input columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.ConcatenatePerInstanceDataViews(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.IMamlEvaluator,System.Boolean,System.Boolean,Microsoft.ML.Data.RoleMappedData[],System.String[]@)">
-            <summary>
-            This method gets the per-instance metrics from multiple scored data views and either returns them as an
-            array or combines them into a single data view, based on user specifications.
-            </summary>
-            <param name="env">A host environment.</param>
-            <param name="eval">The evaluator to use for getting the per-instance metrics.</param>
-            <param name="collate">If true, data views are combined into a single data view. Otherwise, data views
-            are returned as an array.</param>
-            <param name="outputFoldIndex">If true, a column containing the fold index is added to the returned data views.</param>
-            <param name="perInstance">The array of scored data views to evaluate. These are passed as <see cref="T:Microsoft.ML.Data.RoleMappedData"/>
-            so that the evaluator can know the role mappings it needs.</param>
-            <param name="variableSizeVectorColumnNames">A list of column names that are not included in the combined data view
-            since their types do not match.</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.ConcatenateOverallMetrics(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView[])">
-            <summary>
-            Create an output data view that is the vertical concatenation of the metric data views.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.EvaluateUtils.CombineFoldMetricsDataViews(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            Takes a data view containing one or more rows of metrics, and returns a data view containing additional
-            rows with the average and the standard deviation of the metrics in the input data view.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricWriter.GetConfusionTableAsFormattedString(Microsoft.ML.Runtime.IHost,Microsoft.ML.IDataView,System.String@,System.Boolean,System.Int32)">
-            <summary>
-            Get the confusion tables as strings to be printed to the Console.
-            </summary>
-            <param name="host">The host is used for getting the random number generator for sampling classes</param>
-            <param name="confusionDataView">The data view containing the confusion matrix. It should contain a text column
-            with the label names named "LabelNames", and an R8 vector column named "Count" containing the counts: in the row
-            corresponding to label i, slot j should contain the number of class i examples that were predicted as j by the predictor.</param>
-            <param name="weightedConfusionTable">If there is an R8 vector column named "Weight" containing the weighted counts, this parameter
-            is assigned the string representation of the weighted confusion table. Otherwise it is assigned null.</param>
-            <param name="binary">Indicates whether the confusion table is for binary classification.</param>
-            <param name="sample">Indicates how many classes to sample from the confusion table (-1 indicates no sampling)</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricWriter.GetPerFoldResults(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String@)">
-            <summary>
-            This method returns the per-fold metrics as a string. If weighted metrics are present they are returned in a separate string.
-            </summary>
-            <param name="env">An IHostEnvironment.</param>
-            <param name="fold">The data view containing the per-fold metrics. Each row in the data view represents a set of metrics
-            calculated either on the whole dataset or on a subset of it defined by a stratification column. If the data view contains
-            stratified metrics, it must contain two text columns named "StratCol" and "StratVal", containing the stratification column
-            name, and a text description of the value. In this case, the value of column StratVal in the row corresponding to the entire
-            dataset should contain the text "overall", and the value of column StratCol should be DvText.NA. If weighted metrics are present
-            then the data view should also contain a bool column named "IsWeighted".</param>
-            <param name="weightedMetrics">If the IsWeighted column exists, this is assigned the string representation of the weighted
-            metrics. Otherwise it is assigned null.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricWriter.PrintOverallMetrics(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.String,Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            Print the overall results to the Console. The overall data view should contain rows from all the folds being averaged.
-            If filename is not null then also save the results to the specified file. The first row in the file is the averaged
-            results, followed by the results of each fold.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricWriter.PrintWarnings(Microsoft.ML.Runtime.IChannel,System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView})">
-            <summary>
-            Searches for a warning dataview in the given dictionary, and if present, prints the warnings to the given channel. The warning dataview
-            should contain a text column named "WarningText".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricWriter.SavePerInstance(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.String,Microsoft.ML.IDataView,System.Boolean,System.Boolean)">
-            <summary>
-             Save the given data view using text saver.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricWriter.GetNonStratifiedMetrics(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView)">
-            <summary>
-            Filter out the stratified results from overall and drop the stratification columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetricKinds">
-            <summary>
-            This is a list of string constants denoting 'standard' metric kinds.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.MetricKinds.ConfusionMatrix">
-            <summary>
-            This data view contains the confusion matrix for N-class classification. It has N rows, and each row has
-            the following columns:
-            * Count (vector indicating how many examples of this class were predicted as each one of the classes). This column
-            should have metadata containing the class names.
-            * (Optional) Weight (vector with the total weight of the examples of this class that were predicted as each one of the classes).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.MetricKinds.OverallMetrics">
-            <summary>
-            This is a data view with 'global' dataset-wise metrics in its columns. It has one row containing the overall metrics,
-            and optionally more rows for weighted metrics, and stratified metrics.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.MetricKinds.PrCurve">
-            <summary>
-            This is a data view with precision recall data in its columns. It has four columns: Threshold, Precision, Recall and Fpr.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.MetricKinds.Warnings">
-            <summary>
-            This data view contains a single text column, with warnings about bad input values encountered by the evaluator during
-            the aggregation of metrics. Each warning is in a separate row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetricKinds.ColumnNames">
-            <summary>
-            Names for the columns in the data views output by evaluators.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IMamlEvaluator">
-            <summary>
-            This interface is used by Maml components (the <see cref="T:Microsoft.ML.Data.EvaluateCommand"/>, the <see cref="T:Microsoft.ML.Data.CrossValidationCommand"/>
-            and the <see cref="T:Microsoft.ML.Data.EvaluateTransform"/> to evaluate, print and save the results.
-            The input <see cref="T:Microsoft.ML.Data.RoleMappedData"/> to the <see cref="M:Microsoft.ML.Data.IEvaluator.Evaluate(Microsoft.ML.Data.RoleMappedData)"/> and the <see cref="M:Microsoft.ML.Data.IEvaluator.GetPerInstanceMetrics(Microsoft.ML.Data.RoleMappedData)"/> methods
-            should be assumed to contain only the following column roles: label, group, weight and name. Any other columns needed for
-            evaluation should be searched for by name in the <see cref="P:Microsoft.ML.Data.RoleMappedData.Schema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMamlEvaluator.PrintFoldResults(Microsoft.ML.Runtime.IChannel,System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView})">
-            <summary>
-            Print the aggregate metrics to the console.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMamlEvaluator.GetOverallResults(Microsoft.ML.IDataView[])">
-            <summary>
-            Combine the overall metrics from multiple folds into a single data view.
-            </summary>
-            <param name="metrics"></param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMamlEvaluator.PrintAdditionalMetrics(Microsoft.ML.Runtime.IChannel,System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView}[])">
-            <summary>
-            Handles custom metrics (such as p/r curves for binary classification, or group summary results for ranking) from one
-            or more folds. Implementations of this method typically creates a single data view for the custom metric and saves it
-            to a user specified file.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IMamlEvaluator.GetPerInstanceDataViewToSave(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Create a data view containing only the columns that are saved as per-instance results by Maml commands.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MamlEvaluatorBase">
-            <summary>
-            A base class implementation of <see cref="T:Microsoft.ML.Data.IMamlEvaluator"/>. The <see cref="T:Microsoft.ML.Data.Evaluate"/> and <see cref="M:Microsoft.ML.Data.IEvaluator.GetPerInstanceMetrics(Microsoft.ML.Data.RoleMappedData)"/>
-            methods create a new <see cref="T:Microsoft.ML.Data.RoleMappedData"/> containing all the columns needed for evaluation, and call the corresponding
-            methods on an <see cref="T:Microsoft.ML.Data.IEvaluator"/> of the appropriate type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MamlEvaluatorBase.GetInputColumnRolesCore(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            All the input columns needed by an evaluator should be added here.
-            The base class implementation gets the score column, the label column (if exists) and the weight column (if exists).
-            Override if additional columns are needed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MamlEvaluatorBase.PrintFoldResultsCore(Microsoft.ML.Runtime.IChannel,System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView})">
-            <summary>
-            This method simply prints the overall metrics using EvaluateUtils.PrintConfusionMatrixAndPerFoldResults.
-            Override if something else is needed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MamlEvaluatorBase.PrintAdditionalMetricsCore(Microsoft.ML.Runtime.IChannel,System.Collections.Generic.Dictionary{System.String,Microsoft.ML.IDataView}[])">
-            <summary>
-            This method simply prints the overall metrics using EvaluateUtils.PrintOverallMetrics.
-            Override if something else is needed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MamlEvaluatorBase.GetPerInstanceMetricsCore(Microsoft.ML.IDataView,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            The perInst dataview contains all a name column (called Instance), the FoldId, Label and Weight columns if
-            they exist, and all the columns returned by <see cref="M:Microsoft.ML.Data.MamlEvaluatorBase.GetPerInstanceColumnsToSave(Microsoft.ML.Data.RoleMappedSchema)"/>.
-            It should be overridden only if additional processing is needed, such as dropping slots in the "top k scores" column
-            in the multi-class case.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MamlEvaluatorBase.GetPerInstanceColumnsToSave(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Returns the names of the columns that should be saved in the per-instance results file. These can include
-            the columns generated by the corresponding <see cref="T:Microsoft.ML.Data.IRowMapper"/>, or any of the input columns used by
-            it. The Name and Weight columns should not be included, since the base class includes them automatically.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnomalyDetectionMetrics">
-            <summary>
-            Evaluation results for anomaly detection(unsupervised learning algorithm).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.AnomalyDetectionMetrics.AreaUnderRocCurve">
-            <summary>
-            Gets the area under the ROC curve.
-            </summary>
-            <remarks>
-            The area under the ROC curve is equal to the probability that the algorithm ranks
-            a randomly chosen positive instance higher than a randomly chosen negative one
-            (assuming 'positive' ranks higher than 'negative'). Area under the ROC curve ranges between
-            0 and 1, with a value closer to 1 indicating a better model.
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.AnomalyDetectionMetrics.DetectionRateAtFalsePositiveCount">
-            <summary>
-            Detection rate at K false positives. This gives the ratio of correctly identified anomalies given
-            the specified number of false positives. A value closer to 1 indicates a better model.
-            </summary>
-            <remarks>
-            This is computed as follows:
-            1.Sort the test examples by the output of the anomaly detector in descending order of scores.
-            2.Among the top K False Positives,  compute ratio :  (True Positive @ K)  / (Total anomalies in test data)
-            Example confusion matrix for anomaly detection:
-                                       Anomalies (in test data)  | Non-Anomalies (in test data)
-             Predicted Anomalies     :         TP                |           FP
-             Predicted Non-Anomalies :         FN                |           TN
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.BinaryClassificationMetrics">
-            <summary>
-            Evaluation results for binary classifiers, excluding probabilistic metrics.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderRocCurve">
-             <summary>
-             Gets the area under the ROC curve.
-             </summary>
-             <remarks>
-             The area under the ROC curve is equal to the probability that the classifier ranks
-             a randomly chosen positive instance higher than a randomly chosen negative one
-             (assuming 'positive' ranks higher than 'negative'). Area under the ROC curve ranges between
-             0 and 1, with a value closer to 1 indicating a better model.
-            
-             <a href="https://en.wikipedia.org/wiki/Receiver_operating_characteristic#Area_under_the_curve">Area Under ROC Curve</a>
-             </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.Accuracy">
-            <summary>
-            Gets the accuracy of a classifier which is the proportion of correct predictions in the test set.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.PositivePrecision">
-            <summary>
-            Gets the positive precision of a classifier which is the proportion of correctly predicted
-            positive instances among all the positive predictions (i.e., the number of positive instances
-            predicted as positive, divided by the total number of instances predicted as positive).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.PositiveRecall">
-            <summary>
-            Gets the positive recall of a classifier which is the proportion of correctly predicted
-            positive instances among all the positive instances (i.e., the number of positive instances
-            predicted as positive, divided by the total number of positive instances).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.NegativePrecision">
-            <summary>
-            Gets the negative precision of a classifier which is the proportion of correctly predicted
-            negative instances among all the negative predictions (i.e., the number of negative instances
-            predicted as negative, divided by the total number of instances predicted as negative).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.NegativeRecall">
-            <summary>
-            Gets the negative recall of a classifier which is the proportion of correctly predicted
-            negative instances among all the negative instances (i.e., the number of negative instances
-            predicted as negative, divided by the total number of negative instances).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.F1Score">
-            <summary>
-            Gets the F1 score of the classifier, which is a measure of the classifier's quality considering
-            both precision and recall.
-            </summary>
-            <remarks>
-            F1 score is the harmonic mean of precision and recall: 2 * precision * recall / (precision + recall).
-            F1 ranges between 0 and 1, with a value of 1 indicating perfect precision and recall.
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderPrecisionRecallCurve">
-            <summary>
-            Gets the area under the precision/recall curve of the classifier.
-            </summary>
-            <remarks>
-            The area under the precision/recall curve is a single number summary of the information in the
-            precision/recall curve. It is increasingly used in the machine learning community, particularly
-            for imbalanced datasets where one class is observed more frequently than the other. On these
-            datasets, <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderPrecisionRecallCurve"/> can highlight performance differences that
-            are lost with <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderRocCurve"/>.
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetrics.ConfusionMatrix">
-            <summary>
-            The <a href="https://en.wikipedia.org/wiki/Confusion_matrix">confusion matrix</a> giving the counts of the
-            true positives, true negatives, false positives and false negatives for the two classes of data.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.BinaryPrecisionRecallDataPoint">
-            <summary>
-            This class represents one data point on Precision-Recall curve for binary classification.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryPrecisionRecallDataPoint.Threshold">
-            <summary>
-            Gets the threshold for this data point.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryPrecisionRecallDataPoint.Precision">
-            <summary>
-            Gets the precision for the current threshold.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryPrecisionRecallDataPoint.Recall">
-            <summary>
-            Gets the recall for the current threshold.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryPrecisionRecallDataPoint.TruePositiveRate">
-            <summary>
-            Gets the true positive rate for the current threshold.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryPrecisionRecallDataPoint.FalsePositiveRate">
-            <summary>
-            Gets the false positive rate for the given threshold.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.CalibratedBinaryClassificationMetrics">
-            <summary>
-            Evaluation results for binary classifiers, including probabilistic metrics.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.CalibratedBinaryClassificationMetrics.LogLoss">
-            <summary>
-            Gets the log-loss of the classifier. Log-loss measures the performance of a classifier
-            with respect to how much the predicted probabilities diverge from the true class label. Lower
-            log-loss indicates a better model. A perfect model, which predicts a probability of 1 for the
-            true class, will have a log-loss of 0.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            The log-loss metric, is computed as follows:
-            $LogLoss = - \frac{1}{m} \sum{i = 1}^m ln(p_i)$
-            where m is the number of instances in the test set and
-            $p_i$ is the probability returned by the classifier if the instance belongs to class 1,
-            and 1 minus the probability returned by the classifier if the instance belongs to class 0.
-            ]]>
-            </format>
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.CalibratedBinaryClassificationMetrics.LogLossReduction">
-            <summary>
-            Gets the log-loss reduction (also known as relative log-loss, or reduction in information gain - RIG)
-            of the classifier. It gives a measure of how much a model improves on a model that gives random predictions.
-            Log-loss reduction closer to 1 indicates a better model.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            The log-loss reduction is scaled relative to a classifier that predicts the prior for every example:
-            $LogLossReduction = \frac{LogLoss(prior) - LogLoss(classifier)}{LogLoss(prior)}$
-            This metric can be interpreted as the advantage of the classifier over a random prediction.
-            For example, if the RIG equals 0.2, it can be interpreted as "the probability of a correct prediction is
-            20% better than random guessing".
-            ]]>
-            </format>
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.CalibratedBinaryClassificationMetrics.Entropy">
-            <summary>
-            Gets the test-set entropy, which is the prior log-loss based on the proportion of positive
-            and negative instances in the test set. A classifier's <see cref="P:Microsoft.ML.Data.CalibratedBinaryClassificationMetrics.LogLoss"/> lower than
-            the entropy indicates that a classifier does better than predicting the proportion of positive
-            instances as the probability for each instance.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            $Entropy = -p log_2(p) - (1 - p) log_2(1 - p)$, where $p$ is the proportion of the positive class
-            in the test set.
-            ]]>
-            </format>
-            </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.ClusteringMetrics">
-            <summary>
-            The metrics generated after evaluating the clustering predictions.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ClusteringMetrics.NormalizedMutualInformation">
-            <summary>
-            Normalized Mutual Information is a measure of the mutual dependence of the variables.
-            This metric is only calculated if the Label column is provided.
-            </summary>
-            <value> Its value ranges from 0 to 1, where higher numbers are better.</value>
-            <remarks><a href="http://en.wikipedia.org/wiki/Mutual_information#Normalized_variants">Normalized variants.</a></remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.ClusteringMetrics.AverageDistance">
-            <summary>
-            Average Score. For the K-Means algorithm, the &apos;score&apos; is the distance from the centroid to the example.
-            The average score is, therefore, a measure of proximity of the examples to cluster centroids.
-            In other words, it is a measure of &apos;cluster tightness&apos;.
-            Note however, that this metric will only decrease if the number of clusters is increased,
-            and in the extreme case (where each distinct example is its own cluster) it will be equal to zero.
-            </summary>
-            <value>Distance is to the nearest centroid.</value>
-        </member>
-        <member name="P:Microsoft.ML.Data.ClusteringMetrics.DaviesBouldinIndex">
-            <summary>
-            Davies-Bouldin Index is measure of the how much scatter is in the cluster and the cluster separation.
-            </summary>
-            <remarks><a href="https://en.wikipedia.org/wiki/Davies%E2%80%93Bouldin_index">Davies-Bouldin Index.</a></remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.ConfusionMatrix">
-            <summary>
-            Represents the <a href="https://en.wikipedia.org/wiki/Confusion_matrix">confusion matrix</a> of the classification results.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ConfusionMatrix.PerClassPrecision">
-            <summary>
-            The calculated value of <a href="https://en.wikipedia.org/wiki/Precision_and_recall#Precision">precision</a> for each class.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ConfusionMatrix.PerClassRecall">
-            <summary>
-            The calculated value of <a href="https://en.wikipedia.org/wiki/Precision_and_recall#Recall">recall</a> for each class.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ConfusionMatrix.Counts">
-            <summary>
-            The confusion matrix counts for the combinations actual class/predicted class.
-            The actual classes are in the rows of the table (stored in the outer <see cref="T:System.Collections.Generic.IReadOnlyList`1"/>), and the predicted classes
-             in the columns(stored in the inner <see cref="T:System.Collections.Generic.IReadOnlyList`1"/>).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ConfusionMatrix.NumberOfClasses">
-            <summary>
-            The indicators of the predicted classes.
-            It might be the classes names, or just indices of the predicted classes, if the name mapping is missing.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ConfusionMatrix.PredictedClassesIndicators">
-            <summary>
-            The indicators of the predicted classes.
-            It might be the classes names, or just indices of the predicted classes, if the name mapping is missing.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ConfusionMatrix.#ctor(Microsoft.ML.Runtime.IHost,System.Double[],System.Double[],System.Double[][],System.Collections.Generic.List{System.ReadOnlyMemory{System.Char}},System.Boolean,System.Boolean)">
-            <summary>
-            The confusion matrix as a structured type, built from the counts of the confusion table <see cref="T:Microsoft.ML.IDataView"/> that the <see cref="T:Microsoft.ML.Data.BinaryClassifierEvaluator"/> or
-            the <see cref="T:Microsoft.ML.Data.MulticlassClassificationEvaluator"/> constructor.
-            </summary>
-            <param name="host">The IHost instance. </param>
-            <param name="precision">The values of precision per class.</param>
-            <param name="recall">The vales of recall per class.</param>
-            <param name="confusionTableCounts">The counts of the confusion table. The actual classes values are in the rows of the 2D array,
-            and the counts of the predicted classes are in the columns.</param>
-            <param name="labelNames">The predicted classes names, or the indexes of the classes, if the names are missing.</param>
-            <param name="isSampled">Whether the classes are sampled.</param>
-            <param name="isBinary">Whether the confusion table is the result of a binary classification. </param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ConfusionMatrix.GetFormattedConfusionTable">
-            <summary>
-            Returns a human readable representation of the confusion table.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ConfusionMatrix.GetCountForClassPair(System.Int32,System.Int32)">
-            <summary>
-            Gets the confusion table count for the pair <paramref name="predictedClassIndicatorIndex"/>/<paramref name="actualClassIndicatorIndex"/>.
-            </summary>
-            <param name="predictedClassIndicatorIndex">The index of the predicted label indicator, in the <see cref="F:Microsoft.ML.Data.ConfusionMatrix.PredictedClassesIndicators"/>.</param>
-            <param name="actualClassIndicatorIndex">The index of the actual label indicator, in the <see cref="F:Microsoft.ML.Data.ConfusionMatrix.PredictedClassesIndicators"/>.</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.MulticlassClassificationMetrics">
-            <summary>
-            Evaluation results for multi-class classification trainers.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.LogLoss">
-            <summary>
-            Gets the average log-loss of the classifier. Log-loss measures the performance of a classifier
-            with respect to how much the predicted probabilities diverge from the true class label. Lower
-            log-loss indicates a better model. A perfect model, which predicts a probability of 1 for the
-            true class, will have a log-loss of 0.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            The log-loss metric is computed as follows:
-            $LogLoss = - \frac{1}{m} \sum_{i = 1}^m log(p_i)$,
-            where $m$ is the number of instances in the test set and
-            $p_i$ is the probability returned by the classifier
-            of the instance belonging to the true class.
-            ]]>
-            </format>
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.LogLossReduction">
-            <summary>
-            Gets the log-loss reduction (also known as relative log-loss, or reduction in information gain - RIG)
-            of the classifier. It gives a measure of how much a model improves on a model that gives random predictions.
-            Log-loss reduction closer to 1 indicates a better model.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            The log-loss reduction is scaled relative to a classifier that predicts the prior for every example:
-            $LogLossReduction = \frac{LogLoss(prior) - LogLoss(classifier)}{LogLoss(prior)}$
-            This metric can be interpreted as the advantage of the classifier over a random prediction.
-            For example, if the RIG equals 0.2, it can be interpreted as "the probability of a correct prediction is
-            20% better than random guessing".
-            ]]>
-            </format>
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MacroAccuracy">
-             <summary>
-             Gets the macro-average accuracy of the model.
-             </summary>
-             <remarks>
-             The macro-average is the average accuracy at the class level. The accuracy for each class is computed
-             and the macro-accuracy is the average of these accuracies.
-            
-             The macro-average metric gives the same weight to each class, no matter how many instances from
-             that class the dataset contains.
-             </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MicroAccuracy">
-            <summary>
-            Gets the micro-average accuracy of the model.
-            </summary>
-            <remarks>
-            The micro-average is the fraction of instances predicted correctly across all classes. Micro-average can
-            be a more useful metric than macro-average if class imbalance is suspected (i.e. one class has many more
-            instances than the rest).
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy">
-            <summary>
-            Convenience method for "TopKAccuracyForAllK[TopKPredictionCount - 1]". If <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKPredictionCount"/> is positive,
-            this is the relative number of examples where
-            the true label is one of the top K predicted labels by the predictor.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKPredictionCount">
-            <summary>
-            If positive, this indicates the K in <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy"/> and <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracyForAllK"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracyForAllK">
-            <summary>
-            Returns the top K accuracy for all K from 1 to the value of TopKPredictionCount.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.PerClassLogLoss">
-            <summary>
-            Gets the log-loss of the classifier for each class. Log-loss measures the performance of a classifier
-            with respect to how much the predicted probabilities diverge from the true class label. Lower
-            log-loss indicates a better model. A perfect model, which predicts a probability of 1 for the
-            true class, will have a log-loss of 0.
-            </summary>
-            <remarks>
-            The log-loss metric is computed as $-\frac{1}{m} \sum_{i=1}^m \log(p_i)$,
-            where $m$ is the number of instances in the test set.
-            $p_i$ is the probability returned by the classifier if the instance belongs to the class,
-            and 1 minus the probability returned by the classifier if the instance does not belong to the class.
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[LogLoss](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/LogLossPerClass.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetrics.ConfusionMatrix">
-            <summary>
-            The <a href="https://en.wikipedia.org/wiki/Confusion_matrix">confusion matrix</a> giving the counts of the
-            predicted classes versus the actual classes.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RankingMetrics">
-            <summary>
-            Evaluation results for rankers.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RankingMetrics.NormalizedDiscountedCumulativeGains">
-             <summary>
-             <format type="text/markdown"><![CDATA[
-             List of normalized discounted cumulative gains (NDCG), where the N-th element represents NDCG@N.
-             Search resuls vary in length depending on query, so different rankers cannot be consistently compared
-             using DCG alone unless the DCG is normalized. This is done by calculating the maximum DCG (also known
-             as Ideal DCG), which is the DCG for the ideal ordering of search results sorted by their relative relevance.
-            
-             $NDCG@N = \frac{DCG@N}{MaxDCG@N}$
-             ]]>
-             </format>
-             </summary>
-             <remarks>
-             <a href="https://en.wikipedia.org/wiki/Discounted_cumulative_gain#Normalized_DCG">Normalized Discounted Cumulative Gain</a>
-             </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.RankingMetrics.DiscountedCumulativeGains">
-             <summary>
-             <format type="text/markdown"><![CDATA[
-             List of discounted cumulative gains (DCG), where the N-th element represents DCG@N.
-             Discounted Cumulative Gain is the sum of the relevance gains up to the N-th position for all the instances i,
-             normalized by the natural logarithm of the instance + 1. DCG is an increasing metric,
-             with a higher value indicating a better model.
-             Note that unlike the Wikipedia article, ML.NET uses the natural logarithm.
-            
-             $DCG@N = \sum_{i = 1}^N \frac{g_i}{ln(i + 1)}$, where $g_i$ is the relevance gain at the i-th position.
-             ]]>
-             </format>
-             </summary>
-             <remarks>
-             <a href="https://en.wikipedia.org/wiki/Discounted_cumulative_gain">Discounted Cumulative Gain</a>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.RegressionMetrics">
-            <summary>
-            Evaluation results regression algorithms (supervised learning algorithm).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetrics.MeanAbsoluteError">
-             <summary>
-             Gets the absolute loss of the model.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             The absolute loss is defined as
-             $L1 = \frac{1}{m} \sum_{i = 1}^m | y_i - \hat{y}_i |$,
-             where $m$ is the number of instances in the test set,
-             $\hat{y}_i$ are the predicted labels for each instance,
-             and $y_i$ are the correct labels of each instance.
-            
-             L1 loss is a non-negative, decreasing metric. Smaller values indicate a better model with respect to this metric.
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetrics.MeanSquaredError">
-             <summary>
-             Gets the squared loss of the model.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             The squared loss is defined as
-             $L2 = \frac{1}{m} \sum_{i = 1}^m (y_i - \hat{y}_i)^2$,
-             where $m$ is the number of instances in the test set,
-             \hat{y}_i are the predicted labels for each instance,
-             and y_i are the correct labels of each instance.
-            
-             L2 loss is a non-negative, decreasing metric. Smaller values indicate a better model with respect to this metric.
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetrics.RootMeanSquaredError">
-            <summary>
-            Gets the root mean square loss (or RMS) which is the square root of the L2 loss <see cref="P:Microsoft.ML.Data.RegressionMetrics.MeanSquaredError"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetrics.LossFunction">
-            <summary>
-            Gets the result of user defined loss function.
-            </summary>
-            <remarks>
-            This is the average of a loss function defined by the user,
-            computed over all the instances in the test set.
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetrics.RSquared">
-            <summary>
-            Gets the R-squared value of the model, which is also known as
-            the <a href="https://en.wikipedia.org/wiki/Coefficient_of_determination">coefficient of determination​</a>.
-            R-Squared closer to 1 indicates a better fitted model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored multiclass classification data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="label">The name of the label column in <paramref name="data"/>.</param>
-            <param name="score">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabel">The name of the predicted label column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these outputs.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.RankingEvaluatorOptions">
-            <summary>
-             Options to control the output of the RankingEvaluator
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.RankingEvaluatorOptions.DcgTruncationLevel">
-            <value>
-            Maximum truncation level for computing (N)DCG
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Data.RankingEvaluatorOptions.LabelGains">
-            <value>
-            Label relevance gains
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Data.RankingEvaluator.GroupSummary">
-            <value>
-            The ranking evaluator outputs a data view by this name, which contains metrics aggregated per group.
-            It contains four columns: GroupId, NDCG, DCG and MaxDCG. Each row in the data view corresponds to one
-            group in the scored data.
-            </value>
-        </member>
-        <member name="M:Microsoft.ML.Data.RankingEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored regression data.
-            </summary>
-            <param name="data">The data to evaluate.</param>
-            <param name="label">The name of the label column.</param>
-            <param name="groupId">The name of the groupId column.</param>
-            <param name="score">The name of the predicted score column.</param>
-            <returns>The evaluation metrics for these outputs.</returns>
-        </member>
-        <member name="P:Microsoft.ML.Data.RankingPerInstanceTransform.Microsoft#ML#IDataView#Schema">
-            <summary>
-            Explicit implementation prevents Schema from being accessed from derived classes.
-            It's our first step to separate data produced by transform from transform.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RankingPerInstanceTransform.OutputSchema">
-            <summary>
-            Shape information of the produced output. Note that the input and the output of this transform (and their types) are identical.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RankingUtils.QueryMaxDcg(System.Double[],System.Int32,System.Double[],System.Collections.Generic.List{System.Int16},System.Collections.Generic.List{System.Single},System.Double[])">
-            <summary>
-            Calculates natural-based max DCG at all truncations from 1 to truncationLevel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RegressionEvaluator.Evaluate(Microsoft.ML.IDataView,System.String,System.String)">
-            <summary>
-            Evaluates scored regression data.
-            </summary>
-            <param name="data">The data to evaluate.</param>
-            <param name="label">The name of the label column.</param>
-            <param name="score">The name of the predicted score column.</param>
-            <returns>The evaluation metrics for these outputs.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.IModelCombiner">
-            <summary>
-            An interface that combines multiple predictors into a single predictor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassifierScorer.WrapIfNeeded(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            This function performs a number of checks on the inputs and, if appropriate and possible, will produce
-            a mapper with slots names on the output score column properly mapped. If this is not possible for any
-            reason, it will just return the input bound mapper.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassifierScorer.CanWrap(Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            This is a utility method used to determine whether <see cref="T:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper"/>
-            can or should be used to wrap <paramref name="mapper"/>. This will not throw, since the
-            desired behavior in the event that it cannot be wrapped, is to just back off to the original
-            "unwrapped" bound mapper.
-            </summary>
-            <param name="mapper">The mapper we are seeing if we can wrap</param>
-            <param name="labelNameType">The type of the label names from the metadata (either
-            originating from the key value metadata of the training label column, or deserialized
-            from the model of a bindable mapper)</param>
-            <returns>Whether we can call <see cref="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.CreateBound``1(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundRowMapper,Microsoft.ML.Data.VectorDataViewType,System.Delegate,System.String,System.Func{Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType,System.Boolean})"/> with
-            this mapper and expect it to succeed</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.FeatureContributionScorer">
-            <summary>
-            Used only by the command line API for scoring and calculation of feature contribution.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.FeatureContributionScorer.BindableMapper">
-            <summary>
-            Holds the definition of the getters for the FeatureContribution column. It also contains the generic mapper that is used to score the Predictor.
-            This is only used by the command line API.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.FeatureContributionScorer.RowMapper">
-            <summary>
-            Maps a schema from input columns to output columns. Keeps track of the input columns that are needed for the mapping.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.FeatureContributionScorer.RowMapper.Microsoft#ML#Data#ISchemaBoundRowMapper#GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Returns the input columns needed for the requested output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.GenericScorer">
-            <summary>
-            This class is a scorer that passes through all the ISchemaBound columns without adding any "derived columns".
-            It also passes through all metadata (except for possibly changing the score column kind), and adds the
-            score set id metadata.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.Bindings.#ctor(Microsoft.ML.DataViewSchema,Microsoft.ML.Data.ISchemaBoundRowMapper,System.String,System.Boolean)">
-            <summary>
-            The one and only constructor for Bindings.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.Bindings.Create(Microsoft.ML.DataViewSchema,Microsoft.ML.Data.ISchemaBoundRowMapper,System.String,System.Boolean)">
-            <summary>
-            Create the bindings given the input schema, bound mapper, and column name suffix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.Bindings.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBindableMapper,Microsoft.ML.DataViewSchema,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}},System.String,System.Boolean)">
-            <summary>
-            Create the bindings given the env, bindable, input schema, column roles, and column name suffix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.Bindings.ApplyToSchema(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Create a new Bindings from this one, but based on a potentially different schema.
-            Used by the ITransformTemplate.ApplyToData implementation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.Bindings.Create(Microsoft.ML.ModelLoadContext,Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBindableMapper,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Deserialize the bindings, given the env, bindable and input schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ScorerArgumentsBase,Microsoft.ML.IDataView,Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.SignatureDataScorer"/> entry point for creating a <see cref="T:Microsoft.ML.Data.GenericScorer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.GenericScorer,Microsoft.ML.IDataView)">
-            <summary>
-            Constructor for <see cref="M:Microsoft.ML.Data.GenericScorer.ApplyToDataCore(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView)"/> method.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.#ctor(Microsoft.ML.Runtime.IHost,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Constructor for deserialization.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.GenericScorer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            <see cref="T:Microsoft.ML.Data.SignatureLoadDataTransform"/> entry point - for deserialization.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper">
-            <summary>
-            This bindable mapper facilitates the serialization and rebinding of the special bound
-            mapper that attaches the label metadata to the slot names of the output score column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Method corresponding to <see cref="T:Microsoft.ML.SignatureLoadModel"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Bound`1._mapper">
-            <summary>The mapper we are wrapping.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Bound`1.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundRowMapper,Microsoft.ML.Data.VectorDataViewType,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{`0}},System.String,System.Func{Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType,System.Boolean})">
-            <summary>
-            This is the constructor called for the initial wrapping.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Bound`1.DecorateOutputSchema(Microsoft.ML.DataViewSchema,System.Int32,Microsoft.ML.Data.VectorDataViewType,Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{`0}},System.String)">
-            <summary>
-            Append label names to score column as its metadata.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Bound`1.Microsoft#ML#Data#ISchemaBoundRowMapper#GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Bound`1.RowImpl.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.Bound`1.RowImpl.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.WrapIfNeeded(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            This function performs a number of checks on the inputs and, if appropriate and possible, will produce
-            a mapper with slots names on the output score column properly mapped. If this is not possible for any
-            reason, it will just return the input bound mapper.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.CanWrapTrainingLabels(Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            This is a utility method used to determine whether <see cref="T:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper"/>
-            can or should be used to wrap <paramref name="mapper"/>. This will not throw, since the
-            desired behavior in the event that it cannot be wrapped, is to just back off to the original
-            "unwrapped" bound mapper.
-            </summary>
-            <param name="mapper">The mapper we are seeing if we can wrap</param>
-            <param name="labelNameType">The type of the label names from the metadata (either
-            originating from the key value metadata of the training label column, or deserialized
-            from the model of a bindable mapper)</param>
-            <returns>Whether we can call <see cref="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.CreateBound``1(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundRowMapper,Microsoft.ML.Data.VectorDataViewType,System.Delegate,System.String,System.Func{Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType,System.Boolean})"/> with
-            this mapper and expect it to succeed</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.CanWrapSlotNames(Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType)">
-            <summary>
-            This is a utility method used to determine whether <see cref="T:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper"/>
-            can or should be used to wrap <paramref name="mapper"/>. This will not throw, since the
-            desired behavior in the event that it cannot be wrapped, is to just back off to the original
-            "unwrapped" bound mapper.
-            </summary>
-            <param name="mapper">The mapper we are seeing if we can wrap</param>
-            <param name="labelNameType">The type of the label names from the metadata (either
-            originating from the key value metadata of the training label column, or deserialized
-            from the model of a bindable mapper)</param>
-            <returns>Whether we can call <see cref="M:Microsoft.ML.Data.MulticlassClassificationScorer.LabelNameBindableMapper.CreateBound``1(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ISchemaBoundRowMapper,Microsoft.ML.Data.VectorDataViewType,System.Delegate,System.String,System.Func{Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.DataViewType,System.Boolean})"/> with
-            this mapper and expect it to succeed</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationScorer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Corresponds to <see cref="T:Microsoft.ML.Data.SignatureLoadDataTransform"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.PredictedLabelScorerBase">
-            <summary>
-            Class for scorers that compute on additional "PredictedLabel" column from the score column.
-            Currently, this scorer is used for binary classification, multi-class classification, and clustering.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.PredictionTransformerBase`1">
-            <summary>
-            Base class for transformers with no feature column, or more than one feature columns.
-            </summary>
-            <typeparam name="TModel">The type of the model parameters used by this prediction transformer.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Data.PredictionTransformerBase`1.Model">
-            <summary>
-            The model.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.PredictionTransformerBase`1.Microsoft#ML#ITransformer#IsRowToRowMapper">
-            <summary>
-            Whether a call to <see cref="M:Microsoft.ML.ITransformer.GetRowToRowMapper(Microsoft.ML.DataViewSchema)"/> should succeed, on an
-            appropriate schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.PredictionTransformerBase`1.Scorer">
-            <summary>
-            This class is more or less a thin wrapper over the <see cref="T:Microsoft.ML.Data.IDataScorerTransform"/> implementing
-            <see cref="T:Microsoft.ML.Data.RowToRowScorerBase"/>, which publicly is a deprecated concept as far as the public API is
-            concerned. Nonetheless, until we move all internal infrastructure to be truely transform based, we
-            retain this as a wrapper. Even though it is mutable, subclasses of this should set this only in
-            their constructor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PredictionTransformerBase`1.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Gets the output schema resulting from the <see cref="M:Microsoft.ML.Data.PredictionTransformerBase`1.Transform(Microsoft.ML.IDataView)"/>
-            </summary>
-            <param name="inputSchema">The <see cref="T:Microsoft.ML.DataViewSchema"/> of the input data.</param>
-            <returns>The resulting <see cref="T:Microsoft.ML.DataViewSchema"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.PredictionTransformerBase`1.Transform(Microsoft.ML.IDataView)">
-            <summary>
-            Transforms the input data.
-            </summary>
-            <param name="input">The input data.</param>
-            <returns>The transformed <see cref="T:Microsoft.ML.IDataView"/></returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.PredictionTransformerBase`1.Microsoft#ML#ITransformer#GetRowToRowMapper(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Gets a IRowToRowMapper instance.
-            </summary>
-            <param name="inputSchema"></param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.SingleFeaturePredictionTransformerBase`1">
-            <summary>
-            The base class for all the transformers implementing the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/>.
-            Those are all the transformers that work with one feature column.
-            </summary>
-            <typeparam name="TModel">The model used to transform the data.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Data.SingleFeaturePredictionTransformerBase`1.FeatureColumnName">
-            <summary>
-            The name of the feature column used by the prediction transformer.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.SingleFeaturePredictionTransformerBase`1.FeatureColumnType">
-            <summary>
-            The type of the prediction transformer
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SingleFeaturePredictionTransformerBase`1.#ctor(Microsoft.ML.Runtime.IHost,`0,Microsoft.ML.DataViewSchema,System.String)">
-            <summary>
-            Initializes a new reference of <see cref="T:Microsoft.ML.Data.SingleFeaturePredictionTransformerBase`1"/>.
-            </summary>
-            <param name="host">The local instance of <see cref="T:Microsoft.ML.Runtime.IHost"/>.</param>
-            <param name="model">The model used for scoring.</param>
-            <param name="trainSchema">The schema of the training data.</param>
-            <param name="featureColumn">The feature column name.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SingleFeaturePredictionTransformerBase`1.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-             Schema propagation for this prediction transformer.
-            </summary>
-            <param name="inputSchema">The input schema to attempt to map.</param>
-            <returns>The output schema of the data, given an input schema like <paramref name="inputSchema"/>.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.AnomalyPredictionTransformer`1">
-            <summary>
-            Base class for the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> working on anomaly detection tasks.
-            </summary>
-            <typeparam name="TModel">An implementation of the <see cref="T:Microsoft.ML.IPredictorProducing`1"/></typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.BinaryPredictionTransformer`1">
-            <summary>
-            Base class for the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> working on binary classification tasks.
-            </summary>
-            <typeparam name="TModel">An implementation of the <see cref="T:Microsoft.ML.IPredictorProducing`1"/></typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.MulticlassPredictionTransformer`1">
-            <summary>
-            Base class for the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> working on multi-class classification tasks.
-            </summary>
-            <typeparam name="TModel">An implementation of the <see cref="T:Microsoft.ML.IPredictorProducing`1"/></typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.RegressionPredictionTransformer`1">
-            <summary>
-            Base class for the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> working on regression tasks.
-            </summary>
-            <typeparam name="TModel">An implementation of the <see cref="T:Microsoft.ML.IPredictorProducing`1"/></typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.RankingPredictionTransformer`1">
-            <summary>
-            Base class for the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> working on ranking tasks.
-            </summary>
-            <typeparam name="TModel">An implementation of the <see cref="T:Microsoft.ML.IPredictorProducing`1"/></typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.ClusteringPredictionTransformer`1">
-            <summary>
-            Base class for the <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> working on clustering tasks.
-            </summary>
-            <typeparam name="TModel">An implementation of the <see cref="T:Microsoft.ML.IPredictorProducing`1"/></typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Data.QuantileRegressionScorerTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.QuantileRegressionScorerTransform.Arguments,Microsoft.ML.IDataView,Microsoft.ML.Data.ISchemaBoundMapper,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Constructor corresponding to <see cref="T:Microsoft.ML.Data.SignatureDataScorer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.QuantileRegressionScorerTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.QuantileRegressionScorerTransform.Arguments,Microsoft.ML.IPredictor)">
-            <summary>
-            Constructor corresponding to <see cref="T:Microsoft.ML.Data.SignatureBindableMapper"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowToRowScorerBase">
-            <summary>
-            Base class for scoring rows independently. This assumes that all columns produced by the
-            underlying <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/> should be exposed, as well as zero or more
-            "derived" columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.SaveCore(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            The main save method handles saving the _bindable. This should do everything else.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.GetBindings">
-            <summary>
-            Derived classes provide the specific bindings object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.GetActive(Microsoft.ML.Data.RowToRowScorerBase.BindingsBase,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column}@,System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column}@)">
-            <summary>
-            Produces the set of active columns for the scorer (as a bool[] of length bindings.ColumnCount).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.ShouldUseParallelCursors(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            This produces either "true" or "null" according to whether <see cref="M:Microsoft.ML.Data.RowToRowScorerBase.WantParallelCursors(System.Func{System.Int32,System.Boolean})"/>
-            returns true or false. Note that this will never return false. Any derived class
-            must support (but not necessarily prefer) parallel cursors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.WantParallelCursors(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            This should return true iff parallel cursors are advantageous. Typically, this
-            will return true iff some columns added by this scorer are active.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.GetGetters(Microsoft.ML.DataViewRow,System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Create and fill an array of getters of size InfoCount. The indices of the non-null entries in the
-            result should be exactly those for which predicate(iinfo) is true.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowScorerBase.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.ScorerBindingsBase">
-            <summary>
-            Base bindings for a scorer based on an <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/>. This assumes that input schema columns
-            are echoed, followed by zero or more derived columns, followed by the mapper generated columns.
-            The names of the derived columns and mapper generated columns have an optional suffix appended.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ScorerBindingsBase.Mapper">
-            <summary>
-            The schema bound mapper.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ScorerBindingsBase.Suffix">
-            <summary>
-            The column name suffix. Non-null, but may be empty.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.ScorerBindingsBase.DerivedColumnCount">
-            <summary>
-            The number of derived columns. InfoCount == DerivedColumnCount + Mapper.OutputSchema.ColumnCount.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScorerBindingsBase.GetActiveMapperColumns(System.Boolean[])">
-            <summary>
-            Returns a predicate indicating which Mapper columns are active based on the active scorer columns.
-            This is virtual so scorers with computed columns can do the right thing.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaBindablePredictorWrapperBase">
-            <summary>
-            This is a base class for wrapping <see cref="T:Microsoft.ML.IPredictor"/>s in an <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.SingleValueRowMapper">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/> implementation for predictor wrappers that produce a
-            single output column. Note that the Bindable wrapper should do any input schema validation.
-            This class doesn't care. It DOES care that the role mapped schema specifies a unique Feature column.
-            It also requires that the output schema has ColumnCount == 1.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaBindablePredictorWrapperBase.SingleValueRowMapper.Microsoft#ML#Data#ISchemaBoundRowMapper#GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaBindablePredictorWrapper">
-            <summary>
-            This class is a wrapper for all <see cref="T:Microsoft.ML.IPredictor"/>s except for quantile regression predictors,
-            and calibrated binary classification predictors.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaBindableBinaryPredictorWrapper">
-            <summary>
-            This is an <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> wrapper for calibrated binary classification predictors.
-            They need a separate wrapper because they return two values instead of one: the raw score and the probability.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaBindableBinaryPredictorWrapper.CalibratedRowMapper">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.ISchemaBoundRowMapper"/> implementation for distribution predictor wrappers that produce
-            two float-valued output columns. Note that the Bindable wrapper does input schema validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SchemaBindableBinaryPredictorWrapper.CalibratedRowMapper.Microsoft#ML#Data#ISchemaBoundRowMapper#GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SchemaBindableQuantileRegressionPredictor">
-            <summary>
-            This is an <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> wrapper for quantile regression predictors. They need a separate
-            wrapper because they need the quantiles to create the <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ScoreSchemaFactory">
-            <summary>
-            This class contains method for creating commonly used <see cref="T:Microsoft.ML.DataViewSchema"/>s.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreSchemaFactory.Create(Microsoft.ML.Data.DataViewType,System.String,System.String)">
-            <summary>
-            Return a <see cref="T:Microsoft.ML.DataViewSchema"/> which contains a single score column.
-            </summary>
-            <param name="scoreType">The type of the score column.</param>
-            <param name="scoreColumnKindValue">The kind of the score column. It's the value of <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.ScoreColumnKind"/> in the score column's metadata.</param>
-            <param name="scoreColumnName">The score column's name in the generated <see cref="T:Microsoft.ML.DataViewSchema"/>.</param>
-            <returns><see cref="T:Microsoft.ML.DataViewSchema"/> which contains only one column.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreSchemaFactory.CreateBinaryClassificationSchema(System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.DataViewSchema"/> with two columns for binary classifier. The first column, indexed by 0, is the score column.
-            The second column is the probability column. For example, for linear support vector machine, score column stands for the inner product
-            of linear coefficients and the input feature vector and we convert score column to probability column using a calibrator.
-            </summary>
-            <param name="scoreColumnName">Column name of score column</param>
-            <param name="probabilityColumnName">Column name of probability column</param>
-            <returns><see cref="T:Microsoft.ML.DataViewSchema"/> of binary classifier's output.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreSchemaFactory.CreateQuantileRegressionSchema(Microsoft.ML.Data.DataViewType,System.Double[])">
-            <summary>
-            This is very similar to <see cref="M:Microsoft.ML.Data.ScoreSchemaFactory.Create(Microsoft.ML.Data.DataViewType,System.String,System.String)"/> but adds one extra metadata field to the only score column.
-            </summary>
-            <param name="scoreType">Output element's type of quantile regressor. Note that a quantile regressor can produce an array of <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/>.</param>
-            <param name="quantiles">Quantiles used in quantile regressor.</param>
-            <returns><see cref="T:Microsoft.ML.DataViewSchema"/> of quantile regressor's output.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ScoreSchemaFactory.CreateSequencePredictionSchema(Microsoft.ML.Data.DataViewType,System.String,Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}})">
-            <summary>
-            This function returns a schema for sequence predictor's output. Its output column is always called <see cref="F:Microsoft.ML.Data.AnnotationUtils.Const.ScoreValueKind.PredictedLabel"/>.
-            </summary>
-            <param name="scoreType">Score column's type produced by sequence predictor.</param>
-            <param name="scoreColumnKindValue">A metadata value of score column. It's the value associated with key
-            <see cref="F:Microsoft.ML.Data.AnnotationUtils.Kinds.ScoreColumnKind"/>.</param>
-            <param name="keyNames">Sequence predictor usually generates integer outputs. This field tells the tags of all possible output values.
-            For example, output integer 0 could be mapped to "Sell" and 0 to "Buy" when predicting stock trend.</param>
-            <returns><see cref="T:Microsoft.ML.DataViewSchema"/> of sequence predictor's output.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.BindingsWrappedRowCursor">
-            <summary>
-            A class for mapping an input to an output cursor assuming no output columns
-            are requested, given a bindings object. This can be useful for transforms
-            utilizing the <see cref="T:Microsoft.ML.Data.ColumnBindingsBase"/>, but for which it is
-            inconvenient or inefficient to handle the "no output selected" case in their
-            own implementation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BindingsWrappedRowCursor.#ctor(Microsoft.ML.Runtime.IChannelProvider,Microsoft.ML.DataViewRowCursor,Microsoft.ML.Data.ColumnBindingsBase)">
-            <summary>
-            Creates a wrapped version of the cursor
-            </summary>
-            <param name="provider">Channel provider</param>
-            <param name="input">The input cursor</param>
-            <param name="bindings">The bindings object, </param>
-        </member>
-        <member name="M:Microsoft.ML.Data.BindingsWrappedRowCursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BindingsWrappedRowCursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.CatalogUtils">
-            <summary>
-            Convenience method to more easily extract an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> from an <see cref="T:Microsoft.ML.Data.IInternalCatalog"/>
-            implementor without requiring an explicit cast.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IInternalCatalog">
-            <summary>
-            An internal interface for the benefit of those <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>-bearing objects accessible through
-            <see cref="T:Microsoft.ML.MLContext"/>. Because this is meant to consumed by component authors implementations of this interface
-            should be explicit.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SourceNameColumnBase.TryParse(System.String)">
-            <summary>
-            For parsing from a string. This supports "name" and "name:source".
-            Derived classes that want to provide parsing functionality to the CmdParser need to implement
-            a static Parse method. That method can call this (directly or indirectly) to handle the supported
-            syntax.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SourceNameColumnBase.TryParse(System.String,System.String@)">
-            <summary>
-            For parsing from a string. This supports "name" and "name:source" and "name:extra:source". For the last
-            form, the out extra parameter is sort accordingly. For the other forms, extra is set to null.
-            Derived classes that want to provide parsing functionality to the CmdParser need to implement
-            a static Parse method. That method can call this (directly or indirectly) to handle the supported
-            syntax.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SourceNameColumnBase.TryUnparseCore(System.Text.StringBuilder)">
-            <summary>
-            The core unparsing functionality, for generating succinct command line forms "name" and "name:source".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SourceNameColumnBase.TryUnparseCore(System.Text.StringBuilder,System.String)">
-            <summary>
-            The core unparsing functionality, for generating the succinct command line form "name:extra:source".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SourceNameColumnBase.TrySanitize">
-            <summary>
-            If both of name and source are null or white-space, return false.
-            Otherwise, if one is null or white-space, assign that one the other's value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ManyToOneColumn.TryParse(System.String)">
-            <summary>
-            The parsing functionality for custom parsing from a string. This supports "name" and "name:sources",
-            where sources is a comma separated list of source column names.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ManyToOneColumn.TryParse(System.String,System.String@)">
-            <summary>
-            Parsing functionality for custom parsing from a string with an "extra" value between name and sources.
-            This supports "name", "name:sources" and "name:extra:sources".
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnBindingsBase">
-            <summary>
-            Base class that abstracts passing input columns through (with possibly different indices) and adding
-            InfoCount additional columns. If an added column has the same name as a non-hidden input column, it hides
-            the input column, and is placed immediately after the input column. Otherwise, the added column is placed
-            at the end. By default, newly added columns have no annotations (but this can be overridden).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.#ctor(Microsoft.ML.DataViewSchema,System.Boolean,System.String[])">
-            <summary>
-            Constructor taking the input schema and new column names. Names must be non-empty and
-            each name must be non-white-space. The names must be unique but can match existing names
-            in schemaInput. For error reporting, this assumes that the names come from a user-supplied
-            parameter named "column". This takes ownership of the params array of names.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ColumnBindingsBase.InfoCount">
-            <summary>
-            The number of added columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.MapColumnIndex(System.Boolean@,System.Int32)">
-            <summary>
-            This maps a column index for this schema to either a source column index (when
-            <paramref name="isSrcColumn"/> is true), or to an "iinfo" index of an added column
-            (when <paramref name="isSrcColumn"/> is false).
-            </summary>
-            <param name="isSrcColumn">Whether the return index is for a source column</param>
-            <param name="col">The column index for this schema</param>
-            <returns>The index (either source index or iinfo index)</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.MapIinfoToCol(System.Int32)">
-            <summary>
-            This maps from an index to an added column "info" to a column index.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.GetActive(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            The given predicate maps from output column index to whether the column is active.
-            This builds an array of bools of length ColumnCount containing the results of calling
-            predicate on each column index.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.GetActive(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            This builds an array of bools of length ColumnCount indicating the index of the active column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.GetActiveInput(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            The given predicate maps from output column index to whether the column is active.
-            This builds an array of bools of length Input.ColumnCount containing the results of calling
-            predicate on the output column index corresponding to each input column index.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.GetActiveInput(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            This builds an array of bools of length Input.ColumnCount containing indicating the index of the
-            active input columns, given the actual columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindingsBase.AnyNewColumnsActive(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Determine whether any columns generated by this transform are active.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnBindings">
-            <summary>
-            Class that encapsulates passing input columns through (with possibly different indices) and adding
-            additional columns. If an added column has the same name as a non-hidden input column, it hides
-            the input column, and is placed immediately after the input column. Otherwise, the added column is placed
-            at the end.
-            This class is intended to simplify predicate propagation for this case.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ColumnBindings.AddedColumnIndices">
-            <summary>
-            The indices of added columns in the <see cref="P:Microsoft.ML.Data.ColumnBindings.Schema"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ColumnBindings.InputSchema">
-            <summary>
-            The input schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ColumnBindings.Schema">
-            <summary>
-            The merged schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindings.#ctor(Microsoft.ML.DataViewSchema,Microsoft.ML.DataViewSchema.DetachedColumn[])">
-            <summary>
-            Create a new instance of <see cref="T:Microsoft.ML.Data.ColumnBindings"/>.
-            </summary>
-            <param name="input">The input schema that we're adding columns to.</param>
-            <param name="addedColumns">The columns being added.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindings.MapColumnIndex(System.Boolean@,System.Int32)">
-            <summary>
-            This maps a column index for this schema to either a source column index (when
-            <paramref name="isSrcColumn"/> is true), or to an "iinfo" index of an added column
-            (when <paramref name="isSrcColumn"/> is false).
-            </summary>
-            <param name="isSrcColumn">Whether the return index is for a source column</param>
-            <param name="col">The column index for this schema</param>
-            <returns>The index (either source index or iinfo index)</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnBindings.GetActiveInput(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            The given predicate maps from output column index to whether the column is active.
-            This builds an array of bools of length Input.ColumnCount containing the results of calling
-            predicate on the output column index corresponding to each input column index.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnParsingUtils">
-            <summary>
-            Parsing utilities for converting between transform column argument objects and
-            command line representations.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnParsingUtils.TryParse(System.String,System.String@,System.String@)">
-            <summary>
-            For parsing name and source from a string. This supports "name" and "name:source".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnParsingUtils.TryParse(System.String,System.String@,System.String@,System.String@)">
-            <summary>
-            For parsing name and source from a string. This supports "name" and "name:source" and "name:extra:source".
-            For the last form, the out extra parameter is set accordingly. For the other forms, extra is set to null.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnConcatenatingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.ColumnConcatenatingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.ColumnOptions.#ctor(System.String,System.String[])">
-            <summary>
-            This denotes a concatenation of all <paramref name="inputColumnNames"/> into column called <paramref name="name"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.ColumnOptions.#ctor(System.String,System.Collections.Generic.IEnumerable{System.ValueTuple{System.String,System.String}})">
-            <summary>
-            This denotes a concatenation of input columns into one column called <paramref name="name"/>.
-            For each input column, an 'alias' can be specified, to be used in constructing the resulting slot names.
-            If the alias is not specified, it defaults to be column name.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.ColumnConcatenatingTransformer.Columns">
-            <summary>
-            The names of the output and input column pairs for the transformation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String[])">
-            <summary>
-            Concatename columns in <paramref name="inputColumnNames"/> into one column <paramref name="outputColumnName"/>.
-            Original columns are also preserved.
-            The column types must match, and the output column type is always a vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ColumnConcatenatingTransformer.ColumnOptions[])">
-            <summary>
-            Concatenates multiple groups of columns, each group is denoted by one of <paramref name="columns"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Factory method for SignatureLoadModel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ColumnConcatenatingTransformer.Options,Microsoft.ML.IDataView)">
-            <summary>
-             Factory method for SignatureDataTransform.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ColumnConcatenatingTransformer.TaggedOptions,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method for SignatureLoadDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnConcatenatingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Factory method for SignatureLoadRowMapper.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnConcatenatingTransformer.Mapper.BoundColumn">
-            <summary>
-            This represents the column information bound to the schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InvertHashUtils.ClearDst(System.Text.StringBuilder@)">
-            <summary>
-            Clears a destination StringBuilder. If it is currently null, allocates it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InvertHashUtils.GetSimpleMapper``1(Microsoft.ML.DataViewSchema,System.Int32)">
-            <summary>
-            Gets the mapping from T into a StringBuilder representation, using various heuristics.
-            This StringBuilder representation will be a component of the composed KeyValues for the
-            hash outputs.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.InvertHashCollector`1.Pair">
-            <summary>
-            This is a small struct that is meant to compare akin to the value,
-            but also maintain the order in which it was inserted, assuming that
-            we're using something like a hashset where order is not preserved.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.InvertHashCollector`1.#ctor(System.Int32,System.Int32,Microsoft.ML.Data.ValueMapper{`0,System.Text.StringBuilder},System.Collections.Generic.IEqualityComparer{`0},Microsoft.ML.Data.ValueMapper{`0,`0})">
-            <summary>
-            Constructs an invert hash collector that collects unique keys per slot, then is able
-            to build a textual description out of that.
-            </summary>
-            <param name="slots">The maximum number of slots</param>
-            <param name="maxCount">The number of distinct keys we can accumulate per slot</param>
-            <param name="mapper">Utilized in composing the final description, once we have done
-            collecting the distinct keys.</param>
-            <param name="comparer">For detecting uniqueness of the keys we're collecting per slot.</param>
-            <param name="copier">For copying input values into a value to actually store. Useful for
-            types of objects where it is possible to do a comparison relatively quickly on some sort
-            of "unsafe" object, but for which when we decide to actually store it we need to provide
-            a "safe" version of the object. Utilized in the n-gram hash transform, for example.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextModelHelper">
-            <summary>
-            Simple utility class for saving a <see cref="T:Microsoft.ML.Data.VBuffer`1"/> of ReadOnlyMemory
-            as a model, both in a binary and more easily human readable form.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcherBase">
-            <summary>
-            Base class for handling the schema metadata API.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcherBase.ColInfo">
-            <summary>
-            Information for a column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcherBase.GetterInfo">
-            <summary>
-            Base class for metadata getters.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcherBase.GetterInfo`1">
-            <summary>
-            Strongly typed base class for metadata getters. Introduces the abstract Get method.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcherBase.GetterInfoDelegate`1">
-            <summary>
-            A delegate based metadata getter.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcherBase.GetterInfoPrimitive`1">
-            <summary>
-            A primitive value based metadata getter.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MetadataDispatcherBase.ColCount">
-            <summary>
-            The number of columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.CreateInfo(Microsoft.ML.DataViewSchema,System.Int32,System.Func{System.String,System.Int32,System.Boolean})">
-            <summary>
-            Create a ColInfo with the indicated information and no GetterInfos. This doesn't
-            register a column, only creates a ColInfo. Note that multiple columns can share
-            the same ColInfo, if desired. Simply call RegisterColumn multiple times, passing
-            the same ColInfo but different index values. This can only be called before Seal is called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.RegisterColumn(System.Int32,Microsoft.ML.Data.MetadataDispatcherBase.ColInfo)">
-            <summary>
-            Register the given ColInfo as the metadata handling information for the given
-            column index. Throws if the given column index already has a ColInfo registered for it.
-            This can only be called before Seal is called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.Seal">
-            <summary>
-            Seals this dispatcher from further column registrations. This must be called before any
-            metadata methods are called, otherwise an exception is thrown.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.GetColInfoOrNull(System.Int32)">
-            <summary>
-            Returns the ColInfo registered for the given column index, if there is one. This may be called
-            before or after Seal is called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.GetMetadataTypes(System.Int32)">
-            <summary>
-            Gets the metadata kinds and types for the given column index.
-            This can only be called after Seal is called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.GetMetadataTypeOrNull(System.String,System.Int32)">
-            <summary>
-            Gets the metadata type for the given metadata kind and column index, if there is one.
-            This can only be called after Seal is called.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcherBase.GetMetadata``1(Microsoft.ML.Runtime.IExceptionContext,System.String,System.Int32,``0@)">
-            <summary>
-            Gets the metadata for the given metadata kind and column index. Throws if there isn't any.
-            This can only be called after Seal is called.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcher">
-            <summary>
-            For handling the schema metadata API. Call one of the BuildMetadata methods to get
-            a builder for a particular column. Wrap the return in a using statement. Disposing the builder
-            records the metadata for the column. Call Seal() once all metadata is constructed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.BuildMetadata(System.Int32)">
-            <summary>
-            Start building metadata for a column that doesn't pass through any metadata from
-            a source column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.BuildMetadata(System.Int32,Microsoft.ML.DataViewSchema,System.Int32)">
-            <summary>
-            Start building metadata for a column that passes through all metadata from
-            a source column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.BuildMetadata(System.Int32,Microsoft.ML.DataViewSchema,System.Int32,System.Func{System.String,System.Int32,System.Boolean})">
-            <summary>
-            Start building metadata for a column that passes through metadata of certain kinds from
-            a source column. The kinds that are passed through are those for which
-            <paramref name="filterSrc"/> returns true.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.BuildMetadata(System.Int32,Microsoft.ML.DataViewSchema,System.Int32,System.String)">
-            <summary>
-            Start building metadata for a column that passes through metadata of the given kind from
-            a source column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.BuildMetadata(System.Int32,Microsoft.ML.DataViewSchema,System.Int32,System.String[])">
-            <summary>
-            Start building metadata for a column that passes through metadata of the given kinds from
-            a source column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetadataDispatcher.Builder">
-            <summary>
-            The builder for metadata for a particular column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.Builder.#ctor(Microsoft.ML.Data.MetadataDispatcher,System.Int32,Microsoft.ML.DataViewSchema,System.Int32,System.Func{System.String,System.Int32,System.Boolean})">
-            <summary>
-            This should really be private to MetadataDispatcher, but C#'s accessibility model doesn't
-            allow restricting to an outer class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.Builder.AddGetter``1(System.String,Microsoft.ML.Data.DataViewType,Microsoft.ML.Data.AnnotationUtils.AnnotationGetter{``0})">
-            <summary>
-            Add metadata of the given kind. When requested, the metadata is fetched by calling the given delegate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.Builder.AddPrimitive``1(System.String,Microsoft.ML.Data.DataViewType,``0)">
-            <summary>
-            Add metadata of the given kind, with the given value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetadataDispatcher.Builder.Dispose">
-            <summary>
-            Close out the builder. This registers the metadata with the dispatcher.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.NopTransform">
-            <summary>
-            A transform that does nothing.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.NopTransform.CreateIfNeeded(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView)">
-            <summary>
-            Creates a NopTransform if the input is not an IDataTransform.
-            Otherwise it returns the input.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NopTransform.Microsoft#ML#IDataView#Schema">
-            <summary>
-            Explicit implementation prevents Schema from being accessed from derived classes.
-            It's our first step to separate data produced by transform from transform.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NopTransform.OutputSchema">
-            <summary>
-            Shape information of the produced output. Note that the input and the output of this transform (and their types) are identical.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.NopTransform.Microsoft#ML#Data#IRowToRowMapper#GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SignatureLoadColumnFunction">
-            <summary>
-            Signature for a repository based loader of an <see cref="T:Microsoft.ML.Data.IColumnFunction"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IColumnFunctionBuilder.ProcessValue">
-            <summary>
-            Trains on the current value.
-            </summary>
-            <returns>True if it can use more values for training.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.IColumnFunctionBuilder.CreateColumnFunction">
-            <summary>
-            Finishes training and returns a column function.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.IColumnAggregator`1">
-            <summary>
-            Interface to define an aggregate function over values
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IColumnAggregator`1.ProcessValue(`0@)">
-            <summary>
-            Updates the aggregate function with a value
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.IColumnAggregator`1.Finish">
-            <summary>
-            Finishes the aggregation
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.Normalize">
-            <summary>
-            This contains entry-point definitions related to <see cref="T:Microsoft.ML.Transforms.NormalizeTransform"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.OneToOneTransformerBase">
-            <summary>
-            Base class for transformer which operates on pairs input and output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.PerGroupTransformBase`3">
-            <summary>
-            This is a base implementation for a transform that in order to compute its output columns, needs to look
-            at an entire group of consecutive input examples. For each example in the group, it looks at the value of
-            two input columns and after seeing the entire group it computes the output column values. The output values
-            are the same for every example in the same group.
-            </summary>
-            <typeparam name="TLabel">The type of the values in the first input column</typeparam>
-            <typeparam name="TScore">The type of the values in the second input column</typeparam>
-            <typeparam name="TState">Each class deriving from this transform should implement a state class that knows
-            how to return the current group's output column values.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.PerGroupTransformBase`3.BindingsBase">
-            <summary>
-            Deriving classes only need to implement <see cref="M:Microsoft.ML.Data.ColumnBindingsBase.GetColumnTypeCore(System.Int32)"/>.
-            If any of the output columns have metadata, then the metadata methods should be overridden.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.CreateGetters(`2,System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Creates the getters for the transform's output columns. It can be assumed that when the getters are called, the state
-            object contains the current values of the output columns.
-            </summary>
-            <param name="state">The state object, containing the current group's output values.</param>
-            <param name="predicate">Which output columns are active.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.GetLabelGetter(Microsoft.ML.DataViewRow)">
-            <summary>
-            Get the getter for the first input column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.GetScoreGetter(Microsoft.ML.DataViewRow)">
-            <summary>
-            Get the getter for the second input column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.InitializeState(Microsoft.ML.DataViewRow)">
-            <summary>
-            Return a new state object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.ProcessExample(`2,`0,`1)">
-            <summary>
-            Update the state object with one example.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.UpdateState(`2)">
-            <summary>
-            This method is called after processing a whole group of examples. In this method the
-            state object should compute the output values for the group just seen.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.PerGroupTransformBase`3.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowToRowTransformerBase">
-            <summary>
-            Base class for transformer which produce new columns, but doesn't affect existing ones.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TransformBase">
-            <summary>
-            Base class for transforms.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.TransformBase.Microsoft#ML#IDataView#Schema">
-             <summary>
-             The field is the type information of the produced IDataView of this transformer.
-            
-             Explicit interface implementation hides <see cref="P:Microsoft.ML.IDataView.Schema"/> in all derived classes. The reason
-             is that a transformer should know the type it will produce but shouldn't contain the type of the data it produces.
-             Thus, this field will be eventually removed while legacy code can still access <see cref="P:Microsoft.ML.IDataView.Schema"/> for now.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransformBase.ShouldUseParallelCursors(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            This returns false when this transform cannot support parallel cursors, null when it
-            doesn't care, and true when it benefits from parallel cursors. For example, a transform
-            that simply affects metadata, but not column values should return null, while a transform
-            that does a bunch of computation should return true (if legal).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TransformBase.GetRowCursorCore(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)">
-            <summary>
-            Create a single (non-parallel) row cursor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowToRowTransformBase">
-            <summary>
-            Base class for transforms that map single input row to single output row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.FilterBase">
-            <summary>
-            Base class for transforms that filter out rows without changing the schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransformBase.Microsoft#ML#Data#IRowToRowMapper#GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransformBase.RowImpl.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.RowToRowMapperTransformBase.RowImpl.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.OneToOneTransformBase">
-            <summary>
-            Base class for transforms that operate row by row with each destination column using one
-            source column. It provides an extension mechanism to allow a destination column to depend
-            on multiple input columns.
-            The implementation of TransformBase's OutputSchema and GetRowCursorCore are found here.
-            Because of this, classes deriving from OneToOneTransformerBase do not need to worry about creating
-            a <see cref="T:Microsoft.ML.DataViewSchema"/> or a <see cref="T:Microsoft.ML.DataViewRowCursor"/>,
-            since <see cref="F:Microsoft.ML.Data.OneToOneTransformBase._bindings"/> has an AsSchema property which returns the schema, and the nested <see cref="T:Microsoft.ML.Data.OneToOneTransformBase.Cursor"/> class
-            is used by all classes deriving from OneToOneTransformBase when getting the row cursor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.OneToOneTransformBase.ColInfo">
-            <summary>
-            Information about an added column - the name of the new column, the index of the
-            source column and the type of the source column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.OneToOneTransformBase.Bindings.Infos">
-            <summary>
-            Information about each added column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.Bindings.GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Data.OneToOneTransformBase,Microsoft.ML.IDataView,System.Func{Microsoft.ML.Data.DataViewType,System.String})">
-            <summary>
-            Re-applying constructor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.SaveAsPfaCore(Microsoft.ML.Model.Pfa.BoundPfaContext,System.Int32,Microsoft.ML.Data.OneToOneTransformBase.ColInfo,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Called by <see cref="M:Microsoft.ML.Model.Pfa.ISaveAsPfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext)"/>. Should be implemented by subclasses that return
-            <c>true</c> from <see cref="P:Microsoft.ML.Model.Pfa.ICanSavePfa.CanSavePfa"/>. Will be called
-            </summary>
-            <param name="ctx">The context. Can be used to declare cells, access other information,
-            and whatnot. This method should not actually, however, declare the variable corresponding
-            to the output column. The calling method will do that.</param>
-            <param name="iinfo">The index of the output column whose PFA is being composed</param>
-            <param name="info">The column info</param>
-            <param name="srcToken">The token in the PFA corresponding to the source col</param>
-            <returns>Shuold return the declaration corresponding to the value of this column. Will
-            return <c>null</c> in the event that we do not know how to express this column as PFA</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.ColumnIndex(System.Int32)">
-            <summary>
-            Return the (destination) column index for the indicated added column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.ActivateSourceColumns(System.Int32,System.Boolean[])">
-            <summary>
-            Activates the source column.
-            Override when you don't need the source column to generate the value for this column or when you need
-            other auxiliary source columns that iinfo destination column depends on.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.GetGetterCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.DataViewRow,System.Int32,System.Action@)">
-            <summary>
-            Sub-classes implement this to provide, for a cursor, a getter delegate and optional disposer.
-            If no action is needed when the cursor is Disposed, the override should set disposer to null,
-            otherwise it should be set to a delegate to be invoked by the cursor's Dispose method. It's best
-            for this action to be idempotent - calling it multiple times should be equivalent to calling it once.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.ShouldUseParallelCursors(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            This produces either "true" or "null" according to whether <see cref="M:Microsoft.ML.Data.OneToOneTransformBase.WantParallelCursors(System.Func{System.Int32,System.Boolean})"/>
-            returns true or false. Note that this will never return false. Any derived class
-            must support (but not necessarily prefer) parallel cursors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.WantParallelCursors(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            This should return true iff parallel cursors are advantageous. The default implementation
-            returns true iff some columns added by this transform are active.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.ExceptGetSlotCursor(System.Int32)">
-            <summary>
-            Returns a standard exception for responding to an invalid call to <see cref="M:Microsoft.ML.Data.ITransposeDataView.GetSlotCursor(System.Int32)"/>
-            implementation in <see langword="this"/> on a column that is not transposable.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.GetSlotCursorCore(System.Int32)">
-            <summary>
-            Implementors should note this only called if <see cref="M:Microsoft.ML.Data.OneToOneTransformBase.GetSlotTypeCore(System.Int32)"/>
-            returns a non-null value for this <paramref name="iinfo"/>, so in principle
-            it should always return a valid value, if called. This implementation throws,
-            since the default implementation of <see cref="M:Microsoft.ML.Data.OneToOneTransformBase.GetSlotTypeCore(System.Int32)"/> will return
-            null for all new columns, and so reaching this is only possible if there is a
-            bug.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.OneToOneTransformBase.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.ApplyTransformUtils">
-            <summary>
-            Utilities to rebind data transforms
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ApplyTransformUtils.ApplyTransformToData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.IDataTransform,Microsoft.ML.IDataView)">
-            <summary>
-            Attempt to apply the data transform to a different data view source.
-            If the transform in question implements <see cref="T:Microsoft.ML.Data.ITransformTemplate"/>, <see cref="M:Microsoft.ML.Data.ITransformTemplate.ApplyToData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView)"/>
-            is called. Otherwise, the transform is serialized into a byte array and then deserialized.
-            </summary>
-            <param name="env">The host to use</param>
-            <param name="transform">The transform to apply.</param>
-            <param name="newSource">The data view to apply the transform to.</param>
-            <returns>The resulting data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ApplyTransformUtils.ApplyAllTransformsToData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.IDataView,Microsoft.ML.IDataView)">
-            <summary>
-            Walks back the Source chain of the <see cref="T:Microsoft.ML.Data.IDataTransform"/> up to the <paramref name="oldSource"/>
-            (or <see cref="T:Microsoft.ML.Data.ILegacyDataLoader"/> if <paramref name="oldSource"/> is <c>null</c>),
-            and reapplies all transforms in the chain, to produce the same chain but bound to the different data.
-            It is valid to have no transforms: in this case the result will be equal to <paramref name="newSource"/>
-            If <paramref name="oldSource"/> is specified and not found in the pipe, an exception is thrown.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="chain">The end of the chain.</param>
-            <param name="newSource">The new data to attach the chain to.</param>
-            <param name="oldSource">The 'old source' of the pipe, that doesn't need to be reapplied. If null, all transforms are reapplied.</param>
-            <returns>The resulting data view.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.ColumnCursorExtensions">
-            <summary>
-            Extension methods that allow to extract values of a single column of an <see cref="T:Microsoft.ML.IDataView"/> as an
-            <see cref="T:System.Collections.Generic.IEnumerable`1"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnCursorExtensions.GetColumn``1(Microsoft.ML.IDataView,System.String)">
-            <summary>
-            Extract all values of one column of the data view in a form of an <see cref="T:System.Collections.Generic.IEnumerable`1"/>.
-            </summary>
-            <typeparam name="T">The type of the values. This must match the actual column type.</typeparam>
-            <param name="data">The data view to get the column from.</param>
-            <param name="columnName">The name of the column to be extracted.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.ColumnCursorExtensions.GetColumn``1(Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Extract all values of one column of the data view in a form of an <see cref="T:System.Collections.Generic.IEnumerable`1"/>.
-            </summary>
-            <typeparam name="T">The type of the values. This must match the actual column type.</typeparam>
-            <param name="data">The data view to get the column from.</param>
-            <param name="column">The column to be extracted.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.ComponentCreation">
-            <summary>
-            This class defines extension methods for an <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> to facilitate creating
-            components (loaders, transforms, trainers, scorers, evaluators, savers).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.Zip(Microsoft.ML.Runtime.IHostEnvironment,System.Collections.Generic.IEnumerable{Microsoft.ML.IDataView})">
-            <summary>
-            Create a new data view which is obtained by appending all columns of all the source data views.
-            If the data views are of different length, the resulting data view will have the length equal to the
-            length of the shortest source.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="sources">A non-empty collection of data views to zip together.</param>
-            <returns>The resulting data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateExamples(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String,System.String,System.String,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{Microsoft.ML.Data.RoleMappedSchema.ColumnRole,System.String}})">
-            <summary>
-            Generate training examples for training a predictor or instantiating a scorer.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="data">The data to use for training or scoring.</param>
-            <param name="features">The name of the features column. Can be null.</param>
-            <param name="label">The name of the label column. Can be null.</param>
-            <param name="group">The name of the group ID column (for ranking). Can be null.</param>
-            <param name="weight">The name of the weight column. Can be null.</param>
-            <param name="custom">Additional column mapping to be passed to the trainer or scorer (specific to the prediction type). Can be null or empty.</param>
-            <returns>The constructed examples.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.LoadTransforms(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream,Microsoft.ML.IDataView)">
-            <summary>
-            Load the transforms (but not loader) from the model steram and apply them to the specified data.
-            It is acceptable to have no transforms in the model stream: in this case the original
-            <paramref name="data"/> will be returned.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="modelStream">The model stream to load from.</param>
-            <param name="data">The data to apply transforms to.</param>
-            <returns>The transformed data.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateLoader``1(Microsoft.ML.Runtime.IHostEnvironment,``0,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Creates a data loader from the arguments object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateLoader(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Creates a data loader from the 'LoadName{settings}' string.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateSaver``1(Microsoft.ML.Runtime.IHostEnvironment,``0)">
-            <summary>
-            Creates a data saver from the arguments object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateSaver(Microsoft.ML.Runtime.IHostEnvironment,System.String)">
-            <summary>
-            Creates a data saver from the 'LoadName{settings}' string.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateTransform``1(Microsoft.ML.Runtime.IHostEnvironment,``0,Microsoft.ML.IDataView)">
-            <summary>
-            Creates a data transform from the arguments object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateTransform(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.IDataView)">
-            <summary>
-            Creates a data transform from the 'LoadName{settings}' string.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateScorer(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Creates a data scorer from the 'LoadName{settings}' string.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="settings">The settings string.</param>
-            <param name="data">The data to score.</param>
-            <param name="predictor">The predictor to score.</param>
-            <param name="trainSchema">The training data schema from which the scorer can optionally extract
-            additional information, for example, label names. If this is <c>null</c>, no information will be
-            extracted.</param>
-            <returns>The scored data.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.CreateDefaultScorer(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Creates a default data scorer appropriate to the predictor's prediction kind.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="data">The data to score.</param>
-            <param name="predictor">The predictor to score.</param>
-            <param name="trainSchema">The training data schema from which the scorer can optionally extract
-            additional information, for example, label names. If this is <c>null</c>, no information will be
-            extracted.</param>
-            <returns>The scored data.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.ComponentCreation.LoadPredictorOrNull(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Loads a predictor from the model stream. Returns null iff there's no predictor.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="modelStream">The model stream.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.LocalEnvironment">
-            <summary>
-            An ML.NET environment for local execution.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LocalEnvironment.#ctor(System.Nullable{System.Int32})">
-            <summary>
-            Create an ML.NET <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> for local execution.
-            </summary>
-            <param name="seed">Random seed. Set to <c>null</c> for a non-deterministic environment.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.LocalEnvironment.AddListener(System.Action{Microsoft.ML.Runtime.IMessageSource,Microsoft.ML.Runtime.ChannelMessage})">
-            <summary>
-            Add a custom listener to the messages of ML.NET components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.LocalEnvironment.RemoveListener(System.Action{Microsoft.ML.Runtime.IMessageSource,Microsoft.ML.Runtime.ChannelMessage})">
-            <summary>
-            Remove a previously added a custom listener.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TypeParsingUtils">
-            <summary>
-            Utilities to parse command-line representations of <see cref="T:Microsoft.ML.IDataView"/> types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypeParsingUtils.TryParseDataKind(System.String,Microsoft.ML.Data.InternalDataKind@,Microsoft.ML.Data.KeyCount@)">
-            <summary>
-            Attempt to parse the string into a data kind and (optionally) a keyCount. This method does not check whether
-            the returned <see cref="T:Microsoft.ML.Data.InternalDataKind"/> can really be made into a key with the specified <paramref name="keyCount"/>.
-            </summary>
-            <param name="str">The string to parse.</param>
-            <param name="dataKind">The parsed data kind.</param>
-            <param name="keyCount">The parsed key count, or null if there's no key specification.</param>
-            <returns>Whether the parsing succeeded or not.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.TypeParsingUtils.ConstructKeyType(System.Nullable{Microsoft.ML.Data.InternalDataKind},Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Construct a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> out of the data kind and the keyCount.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.KeyCount">
-            <summary>
-            Defines the cardinality, or count, of valid values of a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> column. This needs to be strictly positive.
-            It is used by <see cref="T:Microsoft.ML.Data.TextLoader"/> and <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyCount.#ctor">
-            <summary>
-            Initializes the cardinality, or count, of valid values of a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> column to the
-            largest integer that can be expresed by the underlying datatype of the <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyCount.#ctor(System.UInt64)">
-            <summary>
-            Initializes the cardinality, or count, of valid values of a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> column to <paramref name="count"/>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyCount.Parse(System.String)">
-            <summary>
-            Parses the string format for a KeyCount, also supports the old KeyRange format for backwards compatibility.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Tools.SavePredictorCommand.CreateFile(System.String)">
-            <summary>
-            Create a file handle from path if it was not empty.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Tools.SavePredictorCommand.CreateStrm(Microsoft.ML.Data.IFileHandle)">
-            <summary>
-            Create the write stream from the file, if not null.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.BinaryLoaderSaverCatalog">
-            <summary>
-            Collection of extension methods for the <see cref="T:Microsoft.ML.DataOperationsCatalog"/> to create instances of
-            components to save and read <see cref="T:Microsoft.ML.IDataView"/> objects to and from a high-performance binary format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.BinaryLoaderSaverCatalog.LoadFromBinary(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from an <see cref="T:Microsoft.ML.Data.IMultiStreamSource"/> on a binary file.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="catalog">The catalog.</param>
-            <param name="fileSource">The file source to load from. This can be a <see cref="T:Microsoft.ML.Data.MultiFileSource"/>, for example.</param>
-        </member>
-        <member name="M:Microsoft.ML.BinaryLoaderSaverCatalog.LoadFromBinary(Microsoft.ML.DataOperationsCatalog,System.String)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a binary file.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="catalog">The catalog.</param>
-            <param name="path">The path to the file to load from.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[LoadFromBinary](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/SaveAndLoadFromBinary.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.BinaryLoaderSaverCatalog.SaveAsBinary(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.IO.Stream,System.Boolean)">
-            <summary>
-            Save the <see cref="T:Microsoft.ML.IDataView"/> into a binary stream.
-            </summary>
-            <param name="catalog">The catalog.</param>
-            <param name="data">The data view to save.</param>
-            <param name="stream">The stream to write to.</param>
-            <param name="keepHidden">Whether to keep hidden columns in the dataset.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SaveAsBinary](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/SaveAndLoadFromBinary.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Internallearn.UnsafeTypeOps`1">
-            <summary>
-            Represents some common global operations over a type
-            including many unsafe operations.
-            </summary>
-            <typeparam name="T"></typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.FeatureNameCollection.Sparse.#ctor(System.Int32,System.String[],System.Int32)">
-            <summary>
-            This does NOT take ownership of the names array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.FeatureNameCollection.Sparse.#ctor(System.Int32,System.Int32,System.Int32[],System.String[])">
-            <summary>
-            This takes ownership of the arrays.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Internallearn.PredictionUtil">
-            <summary>
-            Various utilities
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictionUtil.ParseArguments(Microsoft.ML.Runtime.IHostEnvironment,System.Object,System.String,System.String)">
-            <summary>
-            generic method for parsing arguments using CommandLine. If there's a problem, it throws an InvalidOperationException, with a message giving usage.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="args">The argument object</param>
-            <param name="settings">The settings string (for example, "threshold-")</param>
-            <param name="name">The name is used for error reporting only</param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictionUtil.Array2String(System.Single[],System.String)">
-            <summary>
-            Make a string representation of an array
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictionUtil.SeparatorFromString(System.String)">
-            <summary>
-            Convert string representation of char separator(s)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictionUtil.SepCharFromString(System.String)">
-            <summary>
-            Convert from a string representation of separator to a char
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictorUtils.SaveSummary(Microsoft.ML.Runtime.IChannel,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema,System.IO.TextWriter)">
-            <summary>
-            Save the model summary.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictorUtils.SaveText(Microsoft.ML.Runtime.IChannel,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema,System.IO.TextWriter)">
-            <summary>
-            Save the model in text format (if it can save itself)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictorUtils.SaveBinary(Microsoft.ML.Runtime.IChannel,Microsoft.ML.IPredictor,System.IO.BinaryWriter)">
-            <summary>
-            Save the model in binary format (if it can save itself).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictorUtils.SaveIni(Microsoft.ML.Runtime.IChannel,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema,System.IO.TextWriter)">
-            <summary>
-            Save the model in text format (if it can save itself)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.PredictorUtils.SaveCode(Microsoft.ML.Runtime.IChannel,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema,System.IO.TextWriter)">
-            <summary>
-            Save the model in text format (if it can save itself)
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Internallearn.SlotDropper">
-            <summary>
-            Drops slots from a fixed or variable sized column based on slot ranges.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Internal.Internallearn.SlotDropper.DstLength">
-            <summary>
-            Returns -1 for non vector and unknown length vectors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.SlotDropper.#ctor(System.Int32,System.Int32[],System.Int32[])">
-            <summary>
-            Constructs slot dropper. It expects the slot ranges to be in sorted order and not overlap.
-            </summary>
-            <param name="srcLength">0 indicates variable sized vector.</param>
-            <param name="slotsMin">Low limit of ranges to be dropped.</param>
-            <param name="slotsMax">Upper limit of ranges to be dropped. </param>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.SlotDropper.SubsetGetter``1(Microsoft.ML.ValueGetter{Microsoft.ML.Data.VBuffer{``0}})">
-            <summary>
-            Returns a getter that drops slots.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Internallearn.SlotDropper.DropSlots``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``0}@)">
-            <summary>
-            Drops slots from src and populates the dst with the resulting vector. Slots are
-            dropped based on min and max slots that were passed at the constructor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.StreamUtils.Expand(System.String)">
-            <summary>
-            Expand an extended wildcard pattern into a set of file paths.
-            </summary>
-            <param name="pattern">the pattern to expand</param>
-            <returns>the set of file paths matching the pattern</returns>
-            <remarks>
-            The wildcard pattern accepts the standard "*" and "?" placeholders.
-            "..." also refers to a recursive search over subdirectories.
-            "+" can also be used to make a union of several filenames or patterns.
-            Names of files that do not exist will be excluded.
-            </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.TimerScope">
-            <summary>
-            A timer scope class that starts a <see cref="T:System.Diagnostics.Stopwatch"/> when created, calculates and prints elapsed time, physical and virtual memory usages before sending these to the telemetry when disposed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Internal.Utilities.SequencePool">
-            <summary>
-            A dictionary of uint sequences of variable length. Stores the sequences as
-            byte sequences encoded with LEB128. Empty sequences (or null) are also valid.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SequencePool.TryAdd(System.UInt32[],System.Int32,System.Int32,System.Int32@)">
-            <summary>
-            Returns true if the sequence was added, or false if it was already in the pool.
-            </summary>
-            <param name="sequence">The array containing the sequence to add to the pool.</param>
-            <param name="min">The location in the array of the first sequence element.</param>
-            <param name="lim">The exclusive end of the sequence.</param>
-            <param name="id">To be populated with the id of the added sequence.</param>
-            <returns>True if the sequence was added, false if the sequence was already present in the pool.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SequencePool.Get(System.UInt32[],System.Int32,System.Int32)">
-            <summary>
-            Find the given sequence in the pool. If not found, returns -1.
-            </summary>
-            <param name="sequence">An integer sequence</param>
-            <param name="min">The starting index of the sequence to find in the pool</param>
-            <param name="lim">The length of the sequence to find in the pool</param>
-            <returns>The ID of the sequence if it is found, -1 otherwise</returns>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.SequencePool.AddCore(System.UInt32[],System.Int32,System.Int32,System.UInt32)">
-            <summary>
-            Adds the item. Does NOT check for whether the item is already present.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DatabaseLoaderCatalog">
-            <summary>
-            Collection of extension methods for the <see cref="T:Microsoft.ML.DataOperationsCatalog"/> to read from databases.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DatabaseLoaderCatalog.CreateDatabaseLoader(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.Data.DatabaseLoader.Column[])">
-            <summary>Create a database loader <see cref="T:Microsoft.ML.Data.DatabaseLoader"/>.</summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="columns">Array of columns <see cref="T:Microsoft.ML.Data.DatabaseLoader.Column"/> defining the schema.</param>
-        </member>
-        <member name="M:Microsoft.ML.DatabaseLoaderCatalog.CreateDatabaseLoader(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.Data.DatabaseLoader.Options)">
-            <summary>Create a database loader <see cref="T:Microsoft.ML.Data.DatabaseLoader"/>.</summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="options">Defines the settings of the load operation.</param>
-        </member>
-        <member name="M:Microsoft.ML.DatabaseLoaderCatalog.CreateDatabaseLoader``1(Microsoft.ML.DataOperationsCatalog)">
-            <summary>Create a database loader <see cref="T:Microsoft.ML.Data.DatabaseLoader"/>.</summary>
-            <typeparam name="TInput">Defines the schema of the data to be loaded. Use public fields or properties
-            decorated with <see cref="T:Microsoft.ML.Data.LoadColumnAttribute"/> (and possibly other attributes) to specify the column
-            names and their data types in the schema of the loaded data.</typeparam>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-        </member>
-        <member name="T:Microsoft.ML.DataLoaderExtensions">
-            <summary>
-            Class used to load data from one or more files.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataLoaderExtensions.Load(Microsoft.ML.IDataLoader{Microsoft.ML.Data.IMultiStreamSource},System.String[])">
-            <summary>
-            Loads data from one or more file <paramref name="path"/> into an <see cref="T:Microsoft.ML.IDataView"/>.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="loader">The loader to use.</param>
-            <param name="path">One or more paths from which to load data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Load](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/LoadingText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.DataOperationsCatalog">
-            <summary>
-            Class used to create components that operate on data, but are not part of the model training pipeline.
-            Includes components to load, save, cache, filter, shuffle, and split data.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataOperationsCatalog.TrainTestData">
-            <summary>
-            A pair of datasets, for the train and test set.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.DataOperationsCatalog.TrainTestData.TrainSet">
-            <summary>
-            Training set.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.DataOperationsCatalog.TrainTestData.TestSet">
-            <summary>
-            Testing set.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.TrainTestData.#ctor(Microsoft.ML.IDataView,Microsoft.ML.IDataView)">
-            <summary>
-            Create pair of datasets.
-            </summary>
-            <param name="trainSet">Training set.</param>
-            <param name="testSet">Testing set.</param>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.LoadFromEnumerable``1(System.Collections.Generic.IEnumerable{``0},Microsoft.ML.Data.SchemaDefinition)">
-             <summary>
-             Create a new <see cref="T:Microsoft.ML.IDataView"/> over an enumerable of the items of user-defined type.
-             The user maintains ownership of the <paramref name="data"/> and the resulting data view will
-             never alter the contents of the <paramref name="data"/>.
-             Since <see cref="T:Microsoft.ML.IDataView"/> is assumed to be immutable, the user is expected to support
-             multiple enumerations of the <paramref name="data"/> that would return the same results, unless
-             the user knows that the data will only be cursored once.
-            
-             One typical usage for streaming data view could be: create the data view that lazily loads data
-             as needed, then apply pre-trained transformations to it and cursor through it for transformation
-             results.
-             </summary>
-             <typeparam name="TRow">The user-defined item type.</typeparam>
-             <param name="data">The enumerable data containing type <typeparamref name="TRow"/> to convert to a <see cref="T:Microsoft.ML.IDataView"/>.</param>
-             <param name="schemaDefinition">The optional schema definition of the data view to create. If <c>null</c>,
-             the schema definition is inferred from <typeparamref name="TRow"/>.</param>
-             <returns>The constructed <see cref="T:Microsoft.ML.IDataView"/>.</returns>
-             <example>
-             <format type="text/markdown">
-             <![CDATA[
-             [!code-csharp[LoadFromEnumerable](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/LoadFromEnumerable.cs)]
-             ]]>
-             </format>
-             </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.LoadFromEnumerable``1(System.Collections.Generic.IEnumerable{``0},Microsoft.ML.DataViewSchema)">
-            <summary>
-            Create a new <see cref="T:Microsoft.ML.IDataView"/> over an enumerable of the items of user-defined type using the provided <see cref="T:Microsoft.ML.DataViewSchema"/>,
-            which might contain more information about the schema than the type can capture.
-            </summary>
-            <remarks>
-            The user maintains ownership of the <paramref name="data"/> and the resulting data view will
-            never alter the contents of the <paramref name="data"/>.
-            Since <see cref="T:Microsoft.ML.IDataView"/> is assumed to be immutable, the user is expected to support
-            multiple enumerations of the <paramref name="data"/> that would return the same results, unless
-            the user knows that the data will only be cursored once.
-            One typical usage for streaming data view could be: create the data view that lazily loads data
-            as needed, then apply pre-trained transformations to it and cursor through it for transformation
-            results.
-            One practical usage of this would be to supply the feature column names through the <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/>.
-            </remarks>
-            <typeparam name="TRow">The user-defined item type.</typeparam>
-            <param name="data">The enumerable data containing type <typeparamref name="TRow"/> to convert to an <see cref="T:Microsoft.ML.IDataView"/>.</param>
-            <param name="schema">The schema of the returned <see cref="T:Microsoft.ML.IDataView"/>.</param>
-            <returns>An <see cref="T:Microsoft.ML.IDataView"/> with the given <paramref name="schema"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.CreateEnumerable``1(Microsoft.ML.IDataView,System.Boolean,System.Boolean,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Convert an <see cref="T:Microsoft.ML.IDataView"/> into a strongly-typed <see cref="T:System.Collections.Generic.IEnumerable`1"/>.
-            </summary>
-            <typeparam name="TRow">The user-defined item type.</typeparam>
-            <param name="data">The underlying data view.</param>
-            <param name="reuseRowObject">Whether to return the same object on every row, or allocate a new one per row.</param>
-            <param name="ignoreMissingColumns">Whether to ignore the case when a requested column is not present in the data view.</param>
-            <param name="schemaDefinition">Optional user-provided schema definition. If it is not present, the schema is inferred from the definition of T.</param>
-            <returns>The <see cref="T:System.Collections.Generic.IEnumerable`1"/> that holds the data in <paramref name="data"/>. It can be enumerated multiple times.</returns>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CreateEnumerable](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/DataViewEnumerable.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.BootstrapSample(Microsoft.ML.IDataView,System.Nullable{System.Int32},System.Boolean)">
-            <summary>
-            Take an approximate bootstrap sample of <paramref name="input"/>.
-            </summary>
-            <remarks>
-            This sampler is a streaming version of <a href="https://en.wikipedia.org/wiki/Bootstrapping_(statistics)">bootstrap resampling</a>.
-            Instead of taking the whole dataset into memory and resampling, <see cref="M:Microsoft.ML.DataOperationsCatalog.BootstrapSample(Microsoft.ML.IDataView,System.Nullable{System.Int32},System.Boolean)"/> streams through the dataset and
-            uses a <a href="https://en.wikipedia.org/wiki/Poisson_distribution">Poisson</a>(1) distribution to select the number of times a
-            given row will be added to the sample. The <paramref name="complement"/> parameter allows for the creation of a bootstap sample
-            and complementary out-of-bag sample by using the same <paramref name="seed"/>.
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="seed">The random seed. If unspecified, the random state will be instead derived from the <see cref="T:Microsoft.ML.MLContext"/>.</param>
-            <param name="complement">Whether this is the out-of-bag sample, that is, all those rows that are not selected by the transform.
-            Can be used to create a complementary pair of samples by using the same seed.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[BootstrapSample](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/BootstrapSample.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.Cache(Microsoft.ML.IDataView,System.String[])">
-            <summary>
-            Creates a lazy in-memory cache of <paramref name="input"/>.
-            </summary>
-            <remarks>
-            Caching happens per-column. A column is only cached when it is first accessed.
-            In addition, <paramref name="columnsToPrefetch"/> are considered 'always needed', so these columns
-            will be cached the first time any data is requested.
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="columnsToPrefetch">The columns that must be cached whenever anything is cached. An empty array or null
-            value means that columns are cached upon their first access.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Cache](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/Cache.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.FilterRowsByColumn(Microsoft.ML.IDataView,System.String,System.Double,System.Double)">
-            <summary>
-            Filter the dataset by the values of a numeric column.
-            </summary>
-            <remarks>
-            Keep only those rows that satisfy the range condition: the value of column <paramref name="columnName"/>
-            must be between <paramref name="lowerBound"/> (inclusive) and <paramref name="upperBound"/> (exclusive).
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="columnName">The name of a column to use for filtering.</param>
-            <param name="lowerBound">The inclusive lower bound.</param>
-            <param name="upperBound">The exclusive upper bound.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FilterRowsByColumn](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/FilterRowsByColumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.FilterRowsByKeyColumnFraction(Microsoft.ML.IDataView,System.String,System.Double,System.Double)">
-            <summary>
-            Filter the dataset by the values of a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> column.
-            </summary>
-            <remarks>
-            Keep only those rows that satisfy the range condition: the value of a key column <paramref name="columnName"/>
-            (treated as a fraction of the entire key range) must be between <paramref name="lowerBound"/> (inclusive) and <paramref name="upperBound"/> (exclusive).
-            This filtering is useful if the <paramref name="columnName"/> is a key column obtained by some 'stable randomization',
-            for example, hashing.
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="columnName">The name of a column to use for filtering.</param>
-            <param name="lowerBound">The inclusive lower bound.</param>
-            <param name="upperBound">The exclusive upper bound.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FilterRowsByKeyColumnFraction](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/FilterRowsByKeyColumnFraction.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.FilterRowsByMissingValues(Microsoft.ML.IDataView,System.String[])">
-            <summary>
-            Drop rows where any column in <paramref name="columns"/> contains a missing value.
-            </summary>
-            <param name="input">The input data.</param>
-            <param name="columns">Name of the columns to filter on. If a row is has a missing value in any of
-            these columns, it will be dropped from the dataset.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FilterRowsByMissingValues](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/FilterRowsByMissingValues.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.ShuffleRows(Microsoft.ML.IDataView,System.Nullable{System.Int32},System.Int32,System.Boolean)">
-            <summary>
-            Shuffle the rows of <paramref name="input"/>.
-            </summary>
-            <remarks>
-            <see cref="M:Microsoft.ML.DataOperationsCatalog.ShuffleRows(Microsoft.ML.IDataView,System.Nullable{System.Int32},System.Int32,System.Boolean)"/> will shuffle the rows of any input <see cref="T:Microsoft.ML.IDataView"/> using a streaming approach.
-            In order to not load the entire dataset in memory, a pool of <paramref name="shufflePoolSize"/> rows will be used
-            to randomly select rows to output. The pool is constructed from the first <paramref name="shufflePoolSize"/> rows
-            in <paramref name="input"/>. Rows will then be randomly yielded from the pool and replaced with the next row from <paramref name="input"/>
-            until all the rows have been yielded, resulting in a new <see cref="T:Microsoft.ML.IDataView"/> of the same size as <paramref name="input"/>
-            but with the rows in a randomized order.
-            If the <see cref="P:Microsoft.ML.IDataView.CanShuffle"/> property of <paramref name="input"/> is true, then it will also be read into the
-            pool in a random order, offering two sources of randomness.
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="seed">The random seed. If unspecified, the random state will be instead derived from the <see cref="T:Microsoft.ML.MLContext"/>.</param>
-            <param name="shufflePoolSize">The number of rows to hold in the pool. Setting this to 1 will turn off pool shuffling and
-            <see cref="M:Microsoft.ML.DataOperationsCatalog.ShuffleRows(Microsoft.ML.IDataView,System.Nullable{System.Int32},System.Int32,System.Boolean)"/> will only perform a shuffle by reading <paramref name="input"/> in a random order.</param>
-            <param name="shuffleSource">If <see langword="false"/>, the transform will not attempt to read <paramref name="input"/> in a random order and only use
-            pooling to shuffle. This parameter has no effect if the <see cref="P:Microsoft.ML.IDataView.CanShuffle"/> property of <paramref name="input"/> is <see langword="false"/>.
-            </param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[ShuffleRows](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/ShuffleRows.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.SkipRows(Microsoft.ML.IDataView,System.Int64)">
-            <summary>
-            Skip <paramref name="count"/> rows in <paramref name="input"/>.
-            </summary>
-            <remarks>
-            Skips the first <paramref name="count"/> rows from <paramref name="input"/> and returns an <see cref="T:Microsoft.ML.IDataView"/> with all other rows.
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="count">Number of rows to skip.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SkipRows](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/SkipRows.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.TakeRows(Microsoft.ML.IDataView,System.Int64)">
-            <summary>
-            Take <paramref name="count"/> rows from <paramref name="input"/>.
-            </summary>
-            <remarks>
-            Returns returns an <see cref="T:Microsoft.ML.IDataView"/> with the first <paramref name="count"/> rows from <paramref name="input"/>.
-            </remarks>
-            <param name="input">The input data.</param>
-            <param name="count">Number of rows to take.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[TakeRows](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/TakeRows.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.TrainTestSplit(Microsoft.ML.IDataView,System.Double,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Split the dataset into the train set and test set according to the given fraction.
-            Respects the <paramref name="samplingKeyColumnName"/> if provided.
-            </summary>
-            <param name="data">The dataset to split.</param>
-            <param name="testFraction">The fraction of data to go into the test set.</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            Note that when performing a Ranking Experiment, the <paramref name="samplingKeyColumnName"/> must be the GroupId column.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for the train-test split.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[TrainTestSplit](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/TrainTestSplit.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.CrossValidationSplit(Microsoft.ML.IDataView,System.Int32,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Split the dataset into cross-validation folds of train set and test set.
-            Respects the <paramref name="samplingKeyColumnName"/> if provided.
-            </summary>
-            <param name="data">The dataset to split.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            Note that when performing a Ranking Experiment, the <paramref name="samplingKeyColumnName"/> must be the GroupId column.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for cross-validation folds.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CrossValidationSplit](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/CrossValidationSplit.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.CrossValidationSplit(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.Int32)">
-            <summary>
-            Splits the data based on the splitColumn, and drops that column as it is only
-            intended to be used for splitting the data, and shouldn't be part of the output schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataOperationsCatalog.CreateSplitColumn(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView@,System.String,System.Nullable{System.Int32},System.Boolean)">
-             <summary>
-             Based on the input samplingKeyColumn creates a new splitColumn that will be used by the callers to apply a RangeFilter that will produce train-test splits
-             or cross-validation splits.
-            
-             Notice that the new splitColumn might get dropped by the callers of this method after using it, as it wasn't part of
-             the input DataView schema.
-             </summary>
-             <param name="env">IHostEnvironment of the caller</param>
-             <param name="data">DataView that should contain the "samplingKeyColumn". The new splitColumn will be added to this DataView.</param>
-             <param name="samplingKeyColumn">Name of the column that will be used as base of the new splitColumn.
-             Notice that in other places in the code the samplingKeyColumn, and/or the splitColumn this method creates,
-             are refered to as "SamplingKeyColumn", "StratificationColumn", "SplitColumn", "GroupPreservationColumn" or similar names. </param>
-             <param name="seed">The seed that might be used by the transformers that will create the new splitColumn</param>
-             <param name="fallbackInEnvSeed">If seed = null, then should we use the env seed? If seed = null, and this parameter is false, then we won't use a seed.</param>
-             <return>The name of the new column</return>
-        </member>
-        <member name="T:Microsoft.ML.LearningPipelineExtensions">
-            <summary>
-            Extension methods that allow chaining of estimator and transformer pipelines.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.Append``2(Microsoft.ML.IDataLoaderEstimator{``0,Microsoft.ML.IDataLoader{``0}},Microsoft.ML.IEstimator{``1})">
-            <summary>
-            Create a new composite loader estimator, by appending another estimator to the end of this data loader estimator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.Append``2(Microsoft.ML.IDataLoader{``0},Microsoft.ML.IEstimator{``1})">
-            <summary>
-            Create a new composite loader estimator, by appending an estimator to this data loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.Append``1(Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},Microsoft.ML.IEstimator{``0},Microsoft.ML.Data.TransformerScope)">
-            <summary>
-            Create a new estimator chain, by appending another estimator to the end of this estimator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.AppendCacheCheckpoint``1(Microsoft.ML.IEstimator{``0},Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Append a 'caching checkpoint' to the estimator chain. This will ensure that the downstream estimators will be trained against
-            cached data. It is helpful to have a caching checkpoint before trainers that take multiple data passes.
-            </summary>
-            <param name="start">The starting estimator</param>
-            <param name="env">The host environment to use for caching.</param>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.Append``2(Microsoft.ML.IDataLoader{``0},``1)">
-            <summary>
-            Create a new composite loader, by appending a transformer to this data loader.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.Append``1(Microsoft.ML.ITransformer,``0)">
-            <summary>
-            Create a new transformer chain, by appending another transformer to the end of this transformer chain.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LearningPipelineExtensions.WithOnFitDelegate``1(Microsoft.ML.IEstimator{``0},System.Action{``0})">
-            <summary>
-            Given an estimator, return a wrapping object that will call a delegate once <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)"/>
-            is called. It is often important for an estimator to return information about what was fit, which is why the
-            <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)"/> method returns a specifically typed object, rather than just a general
-            <see cref="T:Microsoft.ML.ITransformer"/>. However, at the same time, <see cref="T:Microsoft.ML.IEstimator`1"/> are often formed into pipelines
-            with many objects, so we may need to build a chain of estimators via <see cref="T:Microsoft.ML.Data.EstimatorChain`1"/> where the
-            estimator for which we want to get the transformer is buried somewhere in this chain. For that scenario, we can through this
-            method attach a delegate that will be called once fit is called.
-            </summary>
-            <typeparam name="TTransformer">The type of <see cref="T:Microsoft.ML.ITransformer"/> returned by <paramref name="estimator"/></typeparam>
-            <param name="estimator">The estimator to wrap</param>
-            <param name="onFit">The delegate that is called with the resulting <typeparamref name="TTransformer"/> instances once
-            <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)"/> is called. Because <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)"/>
-            may be called multiple times, this delegate may also be called multiple times.</param>
-            <returns>A wrapping estimator that calls the indicated delegate whenever fit is called</returns>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[OnFit](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/WithOnFitDelegate.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.TextLoaderSaverCatalog">
-            <summary>
-            Collection of extension methods for the <see cref="T:Microsoft.ML.DataOperationsCatalog"/> to read from delimited text
-            files such as csv and tsv.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.CreateTextLoader(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.Data.TextLoader.Column[],System.Char,System.Boolean,Microsoft.ML.Data.IMultiStreamSource,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Create a text loader <see cref="T:Microsoft.ML.Data.TextLoader"/>.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="columns">Array of columns <see cref="T:Microsoft.ML.Data.TextLoader.Column"/> defining the schema.</param>
-            <param name="separatorChar">The character used as separator between data points in a row. By default the tab character is used as separator.</param>
-            <param name="hasHeader">Whether the file has a header with feature names. When a <see paramref="dataSample"/> is provided, <see langword="true"/>
-            indicates that the first line in the <see paramref="dataSample"/> will be used for feature names, and that when <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/>
-            is called, the first line will be skipped. When there is no <see paramref="dataSample"/> provided, <see langword="true"/> just indicates that the loader should
-            skip the first line when <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called, but columns will not have slot names annotations. This is
-            because the output schema is made when the loader is created, and not when <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called.</param>
-            <param name="dataSample">The optional location of a data sample. The sample can be used to infer slot name annotations if present, and also the number
-            of slots in a column defined with <see cref="T:Microsoft.ML.Data.TextLoader.Range"/> with <see langword="null"/> maximum index.
-            If the sample has been saved with ML.NET's <see cref="M:Microsoft.ML.TextLoaderSaverCatalog.SaveAsText(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.IO.Stream,System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean)"/>,
-            it will also contain the schema information in the header that the loader can read even if <paramref name="columns"/> is <see langword="null"/>.
-            In order to use the schema defined in the file, all other arguments sould be left with their default values.</param>
-            <param name="allowQuoting">Whether the input may include double-quoted values. This parameter is used to distinguish separator characters
-            in an input value from actual separators. When <see langword="true"/>, separators within double quotes are treated as part of the
-            input value. When <see langword="false"/>, all separators, even those within quotes, are treated as delimiting a new column.</param>
-            <param name="trimWhitespace">Remove trailing whitespace from lines.</param>
-            <param name="allowSparse">Whether the input may include sparse representations. For example, a row containing
-            "5 2:6 4:3" means that there are 5 columns, and the only non-zero are columns 2 and 4, which have values 6 and 3,
-            respectively. Column indices are zero-based, so columns 2 and 4 represent the 3rd and 5th columns.
-            A column may also have dense values followed by sparse values represented in this fashion. For example,
-            a row containing "1 2 5 2:6 4:3" represents two dense columns with values 1 and 2, followed by 5 sparsely represented
-            columns with values 0, 0, 6, 0, and 3. The indices of the sparse columns start from 0, even though 0 represents the third column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CreateTextLoader](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/LoadingText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.CreateTextLoader(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.Data.TextLoader.Options,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Create a text loader <see cref="T:Microsoft.ML.Data.TextLoader"/>.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="options">Defines the settings of the load operation.</param>
-            <param name="dataSample">The optional location of a data sample. The sample can be used to infer slot name annotations if present, and also the number
-            of slots in <see cref="F:Microsoft.ML.Data.TextLoader.Options.Columns"/> defined with <see cref="T:Microsoft.ML.Data.TextLoader.Range"/> with <see langword="null"/> maximum index.
-            If the sample has been saved with ML.NET's <see cref="M:Microsoft.ML.TextLoaderSaverCatalog.SaveAsText(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.IO.Stream,System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean)"/>,
-            it will also contain the schema information in the header that the loader can read even if <see cref="F:Microsoft.ML.Data.TextLoader.Options.Columns"/> are not specified.
-            In order to use the schema defined in the file, all other <see cref="T:Microsoft.ML.Data.TextLoader.Options"/> sould be left with their default values.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.CreateTextLoader``1(Microsoft.ML.DataOperationsCatalog,System.Char,System.Boolean,Microsoft.ML.Data.IMultiStreamSource,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Create a text loader <see cref="T:Microsoft.ML.Data.TextLoader"/> by inferencing the dataset schema from a data model type.
-            </summary>
-            <typeparam name="TInput">Defines the schema of the data to be loaded. Use public fields or properties
-            decorated with <see cref="T:Microsoft.ML.Data.LoadColumnAttribute"/> (and possibly other attributes) to specify the column
-            names and their data types in the schema of the loaded data.</typeparam>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="separatorChar">Column separator character. Default is '\t'</param>
-            <param name="hasHeader">Whether the file has a header with feature names. When a <see paramref="dataSample"/> is provided, <see langword="true"/>
-            indicates that the first line in the <see paramref="dataSample"/> will be used for feature names, and that when <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/>
-            is called, the first line will be skipped. When there is no <see paramref="dataSample"/> provided, <see langword="true"/> just indicates that the loader should
-            skip the first line when <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called, but columns will not have slot names annotations. This is
-            because the output schema is made when the loader is created, and not when <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called.</param>
-            <param name="dataSample">The optional location of a data sample. The sample can be used to infer slot name annotations if present.</param>
-            <param name="allowQuoting">Whether the input may include double-quoted values. This parameter is used to distinguish separator characters
-            in an input value from actual separators. When <see langword="true"/>, separators within double quotes are treated as part of the
-            input value. When <see langword="false"/>, all separators, even those whitin quotes, are treated as delimiting a new column.</param>
-            <param name="trimWhitespace">Remove trailing whitespace from lines.</param>
-            <param name="allowSparse">Whether the input may include sparse representations. For example, a row containing
-            "5 2:6 4:3" means that there are 5 columns, and the only non-zero are columns 2 and 4, which have values 6 and 3,
-            respectively. Column indices are zero-based, so columns 2 and 4 represent the 3rd and 5th columns.
-            A column may also have dense values followed by sparse values represented in this fashion. For example,
-            a row containing "1 2 5 2:6 4:3" represents two dense columns with values 1 and 2, followed by 5 sparsely represented
-            columns with values 0, 0, 6, 0, and 3. The indices of the sparse columns start from 0, even though 0 represents the third column.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.CreateTextLoader``1(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.Data.TextLoader.Options,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Create a text loader <see cref="T:Microsoft.ML.Data.TextLoader"/> by inferencing the dataset schema from a data model type.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="options">Defines the settings of the load operation. Defines the settings of the load operation. No need to specify a Columns field,
-            as columns will be infered by this method.</param>
-            <param name="dataSample">The optional location of a data sample. The sample can be used to infer information
-            about the columns, such as slot names.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.LoadFromTextFile(Microsoft.ML.DataOperationsCatalog,System.String,Microsoft.ML.Data.TextLoader.Column[],System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a text file using <see cref="T:Microsoft.ML.Data.TextLoader"/>.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="path">The path to the file(s).</param>
-            <param name="columns">The columns of the schema.</param>
-            <param name="separatorChar">The character used as separator between data points in a row. By default the tab character is used as separator.</param>
-            <param name="hasHeader">Whether the file has a header. When <see langword="true"/>, the loader will skip the first line when
-            <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called.</param>
-            <param name="allowQuoting">Whether the input may include double-quoted values. This parameter is used to distinguish separator characters
-            in an input value from actual separators. When <see langword="true"/>, separators within double quotes are treated as part of the
-            input value. When <see langword="false"/>, all separators, even those whitin quotes, are treated as delimiting a new column.
-            It is also used to distinguish empty values from missing values. When <see langword="true"/>, missing value are denoted by consecutive
-            separators and empty values by \"\". When <see langword="false"/>, empty values are denoted by consecutive separators and missing
-            values by the default missing value for each type documented in <see cref="T:Microsoft.ML.Data.DataKind"/>.</param>
-            <param name="trimWhitespace">Remove trailing whitespace from lines.</param>
-            <param name="allowSparse">Whether the input may include sparse representations. For example, a row containing
-            "5 2:6 4:3" means that there are 5 columns, and the only non-zero are columns 2 and 4, which have values 6 and 3,
-            respectively. Column indices are zero-based, so columns 2 and 4 represent the 3rd and 5th columns.
-            A column may also have dense values followed by sparse values represented in this fashion. For example,
-            a row containing "1 2 5 2:6 4:3" represents two dense columns with values 1 and 2, followed by 5 sparsely represented
-            columns with values 0, 0, 6, 0, and 3. The indices of the sparse columns start from 0, even though 0 represents the third column.</param>
-            <returns>The data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.LoadFromTextFile(Microsoft.ML.DataOperationsCatalog,System.String,Microsoft.ML.Data.TextLoader.Options)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a text file using <see cref="T:Microsoft.ML.Data.TextLoader"/>.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="path">Specifies a file or path of files from which to load.</param>
-            <param name="options">Defines the settings of the load operation.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[LoadFromTextFile](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/SaveAndLoadFromText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.LoadFromTextFile``1(Microsoft.ML.DataOperationsCatalog,System.String,System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a text file using <see cref="T:Microsoft.ML.Data.TextLoader"/>.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="path">The path to the file(s).</param>
-            <param name="separatorChar">Column separator character. Default is '\t'</param>
-            <param name="hasHeader">Whether the file has a header. When <see langword="true"/>, the loader will skip the first line when
-            <see cref="M:Microsoft.ML.Data.TextLoader.Load(Microsoft.ML.Data.IMultiStreamSource)"/> is called.</param>
-            <param name="allowQuoting">Whether the input may include double-quoted values. This parameter is used to distinguish separator characters
-            in an input value from actual separators. When <see langword="true"/>, separators within double quotes are treated as part of the
-            input value. When <see langword="false"/>, all separators, even those whitin quotes, are treated as delimiting a new column.
-            It is also used to distinguish empty values from missing values. When <see langword="true"/>, missing value are denoted by consecutive
-            separators and empty values by \"\". When <see langword="false"/>, empty values are denoted by consecutive separators and missing
-            values by the default missing value for each type documented in <see cref="T:Microsoft.ML.Data.DataKind"/>.</param>
-            <param name="trimWhitespace">Remove trailing whitespace from lines.</param>
-            <param name="allowSparse">Whether the input may include sparse representations. For example, a row containing
-            "5 2:6 4:3" means that there are 5 columns, and the only non-zero are columns 2 and 4, which have values 6 and 3,
-            respectively. Column indices are zero-based, so columns 2 and 4 represent the 3rd and 5th columns.
-            A column may also have dense values followed by sparse values represented in this fashion. For example,
-            a row containing "1 2 5 2:6 4:3" represents two dense columns with values 1 and 2, followed by 5 sparsely represented
-            columns with values 0, 0, 6, 0, and 3. The indices of the sparse columns start from 0, even though 0 represents the third column.</param>
-            <returns>The data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.LoadFromTextFile``1(Microsoft.ML.DataOperationsCatalog,System.String,Microsoft.ML.Data.TextLoader.Options)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a text file using <see cref="T:Microsoft.ML.Data.TextLoader"/>.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual loading happens here, just schema validation.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="path">Specifies a file or path of files from which to load.</param>
-            <param name="options">Defines the settings of the load operation. No need to specify a Columns field,
-            as columns will be infered by this method.</param>
-            <returns>The data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.SaveAsText(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.IO.Stream,System.Char,System.Boolean,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Save the <see cref="T:Microsoft.ML.IDataView"/> as text.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="data">The data view to save.</param>
-            <param name="stream">The stream to write to.</param>
-            <param name="separatorChar">The column separator.</param>
-            <param name="headerRow">Whether to write the header row.</param>
-            <param name="schema">Whether to write the header comment with the schema.</param>
-            <param name="keepHidden">Whether to keep hidden columns in the dataset.</param>
-            <param name="forceDense">Whether to save columns in dense format even if they are sparse vectors.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SaveAsText](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/SaveAndLoadFromText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextLoaderSaverCatalog.CheckValidPathContents(System.String)">
-            <summary>
-            Checks the validity of a given path, and whether or not it is a
-            valid path to a data file, or a path to a directory of files.
-            </summary>
-            <param name="path">Specifies a file or path of files from which to load.</param>
-        </member>
-        <member name="T:Microsoft.ML.DebuggerExtensions">
-            <summary>
-            Class used to create instances of preview objects for debugging.
-            Note: this class and all methods should only be used for debugging and not in production code.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DebuggerExtensions.Preview(Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            Extract a 'head' of the data view in a view that is convenient to debug.
-            </summary>
-            <param name="data">The data view to preview</param>
-            <param name="maxRows">Maximum number of rows to pull</param>
-        </member>
-        <member name="M:Microsoft.ML.DebuggerExtensions.Preview(Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.Int32)">
-            <summary>
-            Preview an effect of the <paramref name="transformer"/> on a given <paramref name="data"/>.
-            </summary>
-            <param name="transformer">The transformer which effect we are previewing</param>
-            <param name="data">The data view to use for preview</param>
-            <param name="maxRows">Maximum number of rows to pull</param>
-        </member>
-        <member name="M:Microsoft.ML.DebuggerExtensions.Preview(Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},Microsoft.ML.IDataView,System.Int32,System.Int32)">
-            <summary>
-            Preview an effect of the <paramref name="estimator"/> on a given <paramref name="data"/>.
-            </summary>
-            <param name="estimator">The estimator which effect we are previewing</param>
-            <param name="data">The data view to use for preview</param>
-            <param name="maxRows">Maximum number of rows to show in preview</param>
-            <param name="maxTrainingRows">Maximum number of rows to fit the estimator</param>
-        </member>
-        <member name="M:Microsoft.ML.DebuggerExtensions.Preview``1(Microsoft.ML.IDataLoader{``0},``0,System.Int32)">
-            <summary>
-            Preview an effect of the <paramref name="loader"/> on a given <paramref name="source"/>.
-            </summary>
-            <param name="loader">The data loader to preview</param>
-            <param name="source">The source to pull the data from</param>
-            <param name="maxRows">Maximum number of rows to pull</param>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.VectorUtils">
-            <summary>
-            A series of vector utility functions, generally operating over arrays or <see cref="T:Microsoft.ML.Data.VBuffer`1"/>
-            structures. The convention is that if a array or buffer is not modified, that is, it is treated
-            as a constant, it might have the name <c>a</c> or <c>b</c> or <c>src</c>, but in a situation
-            where the vector structure might be changed the parameter might have the name <c>dst</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.NormSquared(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns the L2 norm squared of the vector (sum of squares of the components).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.NormSquared(System.ReadOnlySpan{System.Single})">
-            <summary>
-            Returns the L2 norm squared of the vector (sum of squares of the components).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Norm(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns the L2 norm of the vector.
-            </summary>
-            <returns>L2 norm of the vector</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.L1Norm(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns the L1 norm of the vector.
-            </summary>
-            <returns>L1 norm of the vector</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.MaxNorm(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns the L-infinity norm of the vector (i.e., the maximum absolute value).
-            </summary>
-            <returns>L-infinity norm of the vector</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Sum(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns the sum of elements in the vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.ScaleBy(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Scales the vector by a real value.
-            </summary>
-            <param name="dst">Incoming vector</param>
-            <param name="c">Value to multiply vector with</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.ScaleBy(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Scales the vector by a real value.
-            <c><paramref name="dst"/> = <paramref name="c"/> * <paramref name="src"/></c>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Add(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Perform in-place vector addition <c><paramref name="dst"/> += <paramref name="src"/></c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMult(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Perform in-place scaled vector addition
-            <c><paramref name="dst"/> += <paramref name="c"/> * <paramref name="src"/></c>.
-            If either vector is dense, <paramref name="dst"/> will be dense, unless
-            <paramref name="c"/> is 0 in which case this method does nothing.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMult(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Perform scalar vector addition
-            <c><paramref name="res"/> = <paramref name="c"/> * <paramref name="src"/> + <paramref name="dst"/></c>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMultInto(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Calculate
-            <c><paramref name="a"/> + <paramref name="c"/> * <paramref name="b"/></c>
-            and store the result in <paramref name="dst"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMultWithOffset(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.VBuffer{System.Single}@,System.Int32)">
-            <summary>
-            Perform in-place scaled vector addition
-            <c><paramref name="dst"/> += <paramref name="c"/> * <paramref name="src"/></c>,
-            except that this takes place in the section of <paramref name="dst"/> starting
-            at slot <paramref name="offset"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.ScaleInto(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Perform in-place scaling of a vector into another vector as
-            <c><paramref name="dst"/> = <paramref name="src"/> * <paramref name="c"/></c>.
-            This is more or less equivalent to performing the same operation with
-            <see cref="M:Microsoft.ML.Internal.Utilities.VBufferUtils.ApplyInto``3(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``1}@,Microsoft.ML.Data.VBuffer{``2}@,System.Func{System.Int32,``0,``1,``2})"/> except perhaps more efficiently,
-            with one exception: if <paramref name="c"/> is 0 and <paramref name="src"/>
-            is sparse, <paramref name="dst"/> will have a count of zero, instead of the
-            same count as <paramref name="src"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.SparsifyNormalize(Microsoft.ML.Data.VBuffer{System.Single}@,System.Int32,System.Int32,System.Boolean)">
-            <summary>
-             Sparsify vector A (keep at most <paramref name="top"/>+<paramref name="bottom"/> values)
-            and optionally rescale values to the [-1, 1] range.
-            <param name="a">Vector to be sparsified and normalized.</param>
-            <param name="top">How many top (positive) elements to preserve after sparsification.</param>
-            <param name="bottom">How many bottom (negative) elements to preserve after sparsification.</param>
-            <param name="normalize">Whether to normalize results to [-1,1] range.</param>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.MulElementWise(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Multiplies arrays Dst *= A element by element and returns the result in <paramref name="dst"/> (Hadamard product).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.DotProductWithOffset(Microsoft.ML.Data.VBuffer{System.Single}@,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Computes the dot product of two arrays
-            Where "offset" is considered to be a's zero index
-            </summary>
-            <param name="a">one array</param>
-            <param name="b">the second array (given as a VBuffer)</param>
-            <param name="offset">offset in 'a'</param>
-            <returns>the dot product</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.DotProductWithOffset(System.Single[],System.Int32,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Computes the dot product of two arrays
-            Where "offset" is considered to be a's zero index
-            </summary>
-            <param name="a">one array</param>
-            <param name="b">the second array (given as a VBuffer)</param>
-            <param name="offset">offset in 'a'</param>
-            <returns>the dot product</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.L1Distance(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Computes the L1 distance between two VBuffers
-            </summary>
-            <param name="a">one VBuffer</param>
-            <param name="b">another VBuffer</param>
-            <returns>L1 Distance from a to b</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Distance(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Computes the Euclidean distance between two VBuffers
-            </summary>
-            <param name="a">one VBuffer</param>
-            <param name="b">another VBuffer</param>
-            <returns>Distance from a to b</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.L2DistSquared(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Computes the Euclidean distance squared between two VBuffers
-            </summary>
-            <param name="a">one VBuffer</param>
-            <param name="b">another VBuffer</param>
-            <returns>Distance from a to b</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.L2DistSquared(System.Single[],Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Given two vectors a and b, calculate their L2 distance squared (|a-b|^2).
-            </summary>
-            <param name="a">The first vector, given as an array</param>
-            <param name="b">The second vector, given as a VBuffer{float}</param>
-            <returns>The squared L2 distance between a and b</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Add(System.Single[],System.Single[])">
-            <summary>
-            Perform in-place vector addition <c><paramref name="dst"/> += <paramref name="src"/></c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMult(Microsoft.ML.Data.VBuffer{System.Single}@,System.Span{System.Single},System.Single)">
-            <summary>
-            Adds a multiple of a <see cref="T:Microsoft.ML.Data.VBuffer`1"/> to a <see cref="T:System.Single"/> array.
-            </summary>
-            <param name="src">Buffer to add</param>
-            <param name="dst">Span to add to</param>
-            <param name="c">Coefficient</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMultWithOffset(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single[],System.Int32,System.Single)">
-            <summary>
-            Adds a multiple of a <see cref="T:Microsoft.ML.Data.VBuffer`1"/> to a <see cref="T:System.Single"/> array, with an offset into the destination.
-            </summary>
-            <param name="src">Buffer to add</param>
-            <param name="dst">Array to add to</param>
-            <param name="offset">The offset into <paramref name="dst"/> at which to add</param>
-            <param name="c">Coefficient</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.AddMult(System.Single[],System.Single[],System.Single)">
-            <summary>
-            Adds a multiple of an array to a second array.
-            </summary>
-            <param name="src">Array to add</param>
-            <param name="dst">Array to add to</param>
-            <param name="c">Multiple</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Norm(System.Single[])">
-            <summary>
-            Returns the L2 norm of the vector (sum of squares of the components).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.Sum(System.Single[])">
-            <summary>
-            Returns sum of elements in array
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.VectorUtils.ScaleBy(System.Single[],System.Single)">
-            <summary>
-            Multiples the array by a real value
-            </summary>
-            <param name="dst">The array</param>
-            <param name="c">Value to multiply vector with</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ILossFunction`2.Loss(`0,`1)">
-            <summary>
-            Computes the loss given the output and the ground truth.
-            Note that the return value has type Double because the loss is usually accumulated over many instances.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.IScalarLoss.Derivative(System.Single,System.Single)">
-            <summary>
-            Derivative of the loss function with respect to output
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SignatureClassificationLoss">
-            <summary>
-            Delegate signature for standardized classification loss functions.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SignatureRegressionLoss">
-            <summary>
-            Delegate signature for standardized regression loss functions.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ModelParametersBase`1">
-            <summary>
-            Generic base class for all model parameters.
-            </summary>
-            <typeparam name="TOutput"> Output type produced by the model.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ModelParametersBase`1.WarnOnOldNormalizer(Microsoft.ML.ModelLoadContext,System.Type,Microsoft.ML.Runtime.IChannelProvider)">
-            <summary>
-            This emits a warning if there is Normalizer sub-model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.IFeatureContributionMapper">
-            <summary>
-            Interface for mapping input values to corresponding feature contributions.
-            This interface is commonly implemented by predictors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.IFeatureContributionMapper.GetFeatureContributionMapper``2(System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Get a delegate for mapping Contributions to Features.
-            Result will contain vector with topN positive contributions(if available) and
-            bottomN negative contributions (if available).
-            For example linear predictor will have both negative and positive contributions.
-            For trees we will not have negative contributions, so bottom param will be ignored.
-            If normalization is requested that resulting values will be normalized to [-1, 1].
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ICalculateFeatureContribution">
-            <summary>
-            Allows support for feature contribution calculation by model parameters.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.FeatureContributionCalculator">
-            <summary>
-            Support for feature contribution calculation.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ITrainerEstimator`2">
-            <summary>
-            Interface for the Trainer Estimator.
-            </summary>
-            <typeparam name="TTransformer">The type of the transformer returned by the estimator.</typeparam>
-            <typeparam name="TModel">The type of the model parameters.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.ITrainerEstimator`2.Info">
-            <summary>
-            Gets the <see cref="T:Microsoft.ML.TrainerInfo"/> information about the trainer.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerEstimatorBase`2">
-            <summary>
-            This represents a basic class for 'simple trainer'.
-            A 'simple trainer' accepts one feature column and one label column, also optionally a weight column.
-            It produces a 'prediction transformer'.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerEstimatorBase`2.NoTrainingInstancesMessage">
-            <summary>
-            A standard string to use in errors or warnings by subclasses, to communicate the idea that no valid
-            instances were able to be found.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerEstimatorBase`2.FeatureColumn">
-            <summary>
-            The feature column that the trainer expects.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerEstimatorBase`2.LabelColumn">
-            <summary>
-            The label column that the trainer expects. Can be <c>null</c>, which indicates that label
-            is not used for training.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerEstimatorBase`2.WeightColumn">
-            <summary>
-            The weight column that the trainer expects. Can be <c>null</c>, which indicates that weight is
-            not used for training.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.TrainerEstimatorBase`2.Info">
-            <summary>
-            The information about the trainer: whether it benefits from normalization, caching etc.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerEstimatorBase`2.Fit(Microsoft.ML.IDataView)">
-            <summary> Trains and returns a <see cref="T:Microsoft.ML.ITransformer"/>.</summary>
-            <remarks>
-            Derived class can overload this function.
-            For example, it could take an additional dataset to train with a separate validation set.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerEstimatorBase`2.GetOutputColumnsCore(Microsoft.ML.SchemaShape)">
-            <summary>
-            The columns that will be created by the fitted transformer.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerEstimatorBaseWithGroupId`2">
-            <summary>
-            This represents a basic class for 'simple trainer'.
-            A 'simple trainer' accepts one feature column and one label column, also optionally a weight column.
-            It produces a 'prediction transformer'.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerEstimatorBaseWithGroupId`2.GroupIdColumn">
-            <summary>
-            The optional groupID column that the ranking trainers expects.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerInputBase">
-            <summary>
-            The base class for all trainer inputs.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBase.TrainingData">
-            <summary>
-            The data to be used for training. Used only in entry-points, since in the API the expected mechanism is
-            that the user will use the <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)"/> or some other train
-            method.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBase.FeatureColumnName">
-            <summary>
-            Column to use for features.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBase.NormalizeFeatures">
-            <summary>
-            Normalize option for the feature column. Used only in entry-points, since in the API the user is expected to do this themselves.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBase.Caching">
-            <summary>
-            Whether trainer should cache input training data. Used only in entry-points, since the intended API mechanism
-            is that the user will use the <see cref="M:Microsoft.ML.DataOperationsCatalog.Cache(Microsoft.ML.IDataView,System.String[])"/> or other method
-            like <see cref="M:Microsoft.ML.Data.EstimatorChain`1.AppendCacheCheckpoint(Microsoft.ML.Runtime.IHostEnvironment)"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerInputBaseWithLabel">
-            <summary>
-            The base class for all trainer inputs that support a Label column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBaseWithLabel.LabelColumnName">
-            <summary>
-            Column to use for labels.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerInputBaseWithWeight">
-            <summary>
-            The base class for all trainer inputs that support a weight column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBaseWithWeight.ExampleWeightColumnName">
-            <summary>
-            Column to use for example weight.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.UnsupervisedTrainerInputBaseWithWeight">
-            <summary>
-            The base class for all unsupervised trainer inputs that support a weight column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.UnsupervisedTrainerInputBaseWithWeight.ExampleWeightColumnName">
-            <summary>
-            Column to use for example weight.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerInputBaseWithGroupId">
-            <summary>
-            The base class for all trainer inputs that support a group column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.TrainerInputBaseWithGroupId.RowGroupColumnName">
-            <summary>
-            Column to use for example groupId.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.CursOpt">
-            <summary>
-            Options for creating a <see cref="T:Microsoft.ML.Trainers.TrainingCursorBase"/> from a <see cref="T:Microsoft.ML.Data.RoleMappedData"/> with specified standard columns active.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CheckFeatureFloatVector(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Check for a standard (known-length vector of float) feature column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CheckFeatureFloatVector(Microsoft.ML.Data.RoleMappedData,System.Int32@)">
-            <summary>
-            Check for a standard (known-length vector of float) feature column and determine its length.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CheckBinaryLabel(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Check for a standard binary classification label.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CheckRegressionLabel(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Check for a standard regression label.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CheckMulticlassLabel(Microsoft.ML.Data.RoleMappedData,System.Int32@)">
-            <summary>
-            Check for a standard multi-class label and determine its cardinality. If the column is a
-            key type, it must have known cardinality. For other numeric types, this scans the data
-            to determine the cardinality.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CheckMultiOutputRegressionLabel(Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Check for a standard regression label.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CreateRowCursor(Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.CursOpt,System.Random,System.Collections.Generic.IEnumerable{System.Int32})">
-            <summary>
-            Create a row cursor for the RoleMappedData with the indicated standard columns active.
-            This does not verify that the columns exist, but merely activates the ones that do exist.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.CreateRowCursorSet(Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.CursOpt,System.Int32,System.Random,System.Collections.Generic.IEnumerable{System.Int32})">
-            <summary>
-            Create a row cursor set for the <see cref="T:Microsoft.ML.Data.RoleMappedData"/> with the indicated standard columns active.
-            This does not verify that the columns exist, but merely activates the ones that do exist.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.GetFeatureFloatVectorGetter(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Get the getter for the feature column, assuming it is a vector of float.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.GetFeatureFloatVectorGetter(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Get the getter for the feature column, assuming it is a vector of float.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.GetLabelFloatGetter(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Get a getter for the label as a float. This assumes that the label column type
-            has already been validated as appropriate for the kind of training being done.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.GetLabelFloatGetter(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Get a getter for the label as a float. This assumes that the label column type
-            has already been validated as appropriate for the kind of training being done.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.GetOptWeightFloatGetter(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Get the getter for the weight column, or null if there is no weight column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.GetOptGroupGetter(Microsoft.ML.DataViewRow,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Get the getter for the group column, or null if there is no group column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.MakeBoolScalarLabel(System.String)">
-            <summary>
-            The <see cref="T:Microsoft.ML.SchemaShape.Column"/> for the label column for binary classification tasks.
-            </summary>
-            <param name="labelColumn">name of the label column</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.MakeR4ScalarColumn(System.String)">
-            <summary>
-            The <see cref="T:Microsoft.ML.SchemaShape.Column"/> for the float type columns.
-            </summary>
-            <param name="columnName">name of the column</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.MakeU4ScalarColumn(System.String)">
-            <summary>
-            The <see cref="T:Microsoft.ML.SchemaShape.Column"/> for the label column for regression tasks.
-            </summary>
-            <param name="columnName">name of the weight column</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.MakeR4VecFeature(System.String)">
-            <summary>
-            The <see cref="T:Microsoft.ML.SchemaShape.Column"/> for the feature column.
-            </summary>
-            <param name="featureColumn">name of the feature column</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.MakeR4ScalarWeightColumn(System.String)">
-            <summary>
-            The <see cref="T:Microsoft.ML.SchemaShape.Column"/> for the weight column.
-            </summary>
-            <param name="weightColumn">name of the weight column</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainerUtils.TrainerEstimatorToTrainerShim`2">
-            <summary>
-            This is a shim class to translate the more contemporaneous <see cref="T:Microsoft.ML.Trainers.ITrainerEstimator`2"/>
-            style transformers into the older now disfavored <see cref="T:Microsoft.ML.ITrainer`1"/> idiom, for components that still
-            need to operate via that older mechanism. (Mostly command line invocations, and so on.).
-            </summary>
-            <typeparam name="TModel">The type of the new model parameters.</typeparam>
-            <typeparam name="TPredictor">The type corresponding to the legacy predictor.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainerUtils.MapTrainerEstimatorToTrainer``3(Microsoft.ML.Runtime.IHostEnvironment,``0)">
-            <summary>
-            This is a shim for legacy code that takes the more modern <see cref="T:Microsoft.ML.Trainers.ITrainerEstimator`2"/>
-            interface, and maps it to the legacy code that wants an <see cref="T:Microsoft.ML.ITrainer`1"/>. The goal should be to
-            remove reliance on that interface if possible, but this may not be practical in the immediate term, so for the benefit
-            of scenarios like this we have this convenience function.
-            </summary>
-            <typeparam name="T">The trainer estimator type.</typeparam>
-            <typeparam name="TModel">The type of the model produced by the estimator.</typeparam>
-            <typeparam name="TPredictor">The type of the predictor to be produced by the predictor.</typeparam>
-            <param name="env">The host environment.</param>
-            <param name="trainer">The trainer estimator.</param>
-            <returns>An implementation of the legacy trainer interface.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainingCursorBase">
-            <summary>
-            This is the base class for a data cursor. Data cursors are specially typed
-            "convenience" cursor-like objects, less general than a <see cref="T:Microsoft.ML.DataViewRowCursor"/> but
-            more convenient for common access patterns that occur in machine learning. For
-            example, the common idiom of iterating over features/labels/weights while skipping
-            "bad" features, labels, and weights. There will be two typical access patterns for
-            users of the cursor. The first is just creation of the cursor using a constructor;
-            this is best for one-off accesses of the data. The second access pattern, best for
-            repeated accesses, is to use a cursor factory (usually a nested class of the cursor
-            class). This keeps track of what filtering options were actually useful.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.#ctor(Microsoft.ML.DataViewRowCursor,System.Action{Microsoft.ML.Trainers.CursOpt})">
-            <summary>
-            The base constructor class for the factory-based cursor creation.
-            </summary>
-            <param name="input"></param>
-            <param name="signal">This method is called </param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.CursoringCompleteFlags">
-             <summary>
-             This method is called by <see cref="M:Microsoft.ML.Trainers.TrainingCursorBase.MoveNext"/> in the event we have reached the end
-             of the cursoring. The intended usage is that it returns what flags will be passed to the signal
-             delegate of the cursor, indicating what additional options should be specified on subsequent
-             passes over the data. The base implementation checks if any rows were skipped, and if none were
-             skipped, it signals the context that it needn't bother with any filtering checks.
-            
-             Because the result will be "or"-red, a perfectly acceptable implementation is that this
-             return the default <see cref="T:Microsoft.ML.Trainers.CursOpt"/>, in which case the flags will not ever change.
-            
-             If the cursor was created with a signal delegate, the return value of this method will be sent
-             to that delegate.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.MoveNext">
-            <summary>
-            Calls Cursor.MoveNext() and this.Accept() repeatedly until this.Accept() returns true.
-            Returns false if Cursor.MoveNext() returns false. If you call Cursor.MoveNext() directly,
-            also call this.Accept() to fetch the values of the current row. Note that if this.Accept()
-            returns false, it's possible that not all values were fetched.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.Accept">
-            <summary>
-            This fetches and validates values for the standard active columns.
-            It is called automatically by MoveNext(). Client code should only need
-            to deal with this if it calls MoveNext() on the underlying
-            <see cref="T:Microsoft.ML.DataViewRowCursor"/> directly. That is, this is only for very advanced scenarios.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1">
-            <summary>
-            This is the base class for a data cursor factory. The factory is a reusable object,
-            created with data and cursor options. From external non-implementing users it will
-            appear to be more or less stateless, but internally it is keeping track of what sorts
-            of filtering it needs to perform. For example, if we construct the factory with the
-            option that it needs to filter out rows with bad feature values, but on the first
-            iteration it is revealed there are no bad feature values, then it would be a complete
-            waste of time to check on subsequent iterations over the data whether there are bad
-            feature values again.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1.Create(System.Random,System.Int32[])">
-            <summary>
-            The typed analog to <see cref="M:Microsoft.ML.IDataView.GetRowCursor(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)"/>.
-            </summary>
-            <param name="rand">Non-null if we are requesting a shuffled cursor.</param>
-            <param name="extraCols">The extra columns to activate on the row cursor
-            in addition to those required by the factory's options.</param>
-            <returns>The wrapping typed cursor.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1.CreateSet(System.Int32,System.Random,System.Int32[])">
-            <summary>
-            The typed analog to <see cref="M:Microsoft.ML.IDataView.GetRowCursorSet(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Int32,System.Random)"/>, this provides a
-            partitioned cursoring of the data set, appropriate to multithreaded algorithms
-            that want to consume parallel cursors without any consolidation.
-            </summary>
-            <param name="n">Suggested degree of parallelism.</param>
-            <param name="rand">Non-null if we are requesting a shuffled cursor.</param>
-            <param name="extraCols">The extra columns to activate on the row cursor
-            in addition to those required by the factory's options.</param>
-            <returns>The cursor set. Note that this needn't necessarily be of size
-            <paramref name="n"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1.CreateCursorCore(Microsoft.ML.DataViewRowCursor,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.CursOpt,System.Action{Microsoft.ML.Trainers.CursOpt})">
-            <summary>
-            Called by both the <see cref="M:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1.Create(System.Random,System.Int32[])"/> and <see cref="M:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1.CreateSet(System.Int32,System.Random,System.Int32[])"/> factory methods. Implementors
-            should instantiate the particular wrapping cursor.
-            </summary>
-            <param name="input">The row cursor we will wrap.</param>
-            <param name="data">The data from which the row cursor was instantiated.</param>
-            <param name="opt">The cursor options this row cursor was created with.</param>
-            <param name="signal">The action that our wrapping cursor will call. Implementors of the cursor
-            do not usually call it directly, but instead override
-            <see cref="M:Microsoft.ML.Trainers.TrainingCursorBase.CursoringCompleteFlags"/>, whose return value is used to call
-            this action.</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TrainingCursorBase.FactoryBase`1.AndAccumulator">
-            <summary>
-            Accumulates signals from cursors, anding them together. Once it has
-            all of the information it needs to signal the factory itself, it will
-            do so.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.StandardScalarCursor">
-            <summary>
-            This supports Weight (float), Group (ulong), and Id (RowId) columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.FeatureFloatVectorCursor">
-            <summary>
-            This derives from <see cref="T:Microsoft.ML.Trainers.StandardScalarCursor"/> and adds the feature column
-            as a <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.FloatLabelCursor">
-            <summary>
-            This derives from the FeatureFloatVectorCursor and adds the Label (float) column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.MulticlassLabelCursor">
-            <summary>
-            This derives from the FeatureFloatVectorCursor and adds the Label (int) column,
-            enforcing multi-class semantics.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ISupportSdcaLoss">
-            <summary>
-            The loss function may know the close-form solution to the optimal dual update
-            Ref: Sec(6.2) of http://jmlr.org/papers/volume14/shalev-shwartz13a/shalev-shwartz13a.pdf
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ISupportSdcaLoss.DualUpdate(System.Single,System.Single,System.Single,System.Single,System.Int32)">
-            <summary>
-            Compute the dual update (\Delta\alpha_i) in SDCA
-            - alpha: dual variable at the specified instance
-            - lambdaN: L2 const x number of instances
-            - cached invariant, hinted by the method above
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ISupportSdcaLoss.DualLoss(System.Single,System.Single)">
-            <summary>
-            The dual loss function for a training example.
-            If f(x) denotes the loss function on an individual training example,
-            then this function returns -f*(-x*), where f*(x*) is the Fenchel conjugate
-            of f(x).
-            </summary>
-            <param name="label">The label of the example.</param>
-            <param name="dual">The dual variable of the example.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LogLoss">
-             <summary>
-             The Log Loss, also known as the Cross Entropy Loss. It is commonly used in classification tasks.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             The Log Loss function is defined as:
-            
-             $L(p(\hat{y}), y) = -y ln(\hat{y}) - (1 - y) ln(1 - \hat{y})$
-            
-             where $\hat{y}$ is the predicted score, $p(\hat{y})$ is the probability of belonging to the positive class by applying a [sigmoid function](https://en.wikipedia.org/wiki/Sigmoid_function) to the score, and $y \in \\{0, 1\\}$ is the true label.
-            
-             Note that the labels used in this calculation are 0 and 1, unlike [Hinge Loss](xref:Microsoft.ML.Trainers.HingeLoss) and [Exponential Loss](xref:Microsoft.ML.Trainers.ExpLoss), where the labels used are -1 and 1.
-            
-             The Log Loss function provides a measure of how *certain* a classifier's predictions are, instead of just measuring how *correct* they are.
-             For example, a predicted probability of 0.80 for a true label of 1 gets penalized more than a predicted probability of 0.99.
-            
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.HingeLoss">
-             <summary>
-             Hinge Loss, commonly used in classification tasks.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             The Hinge Loss function is defined as:
-            
-             $L(\hat{y}, y) = max(0, m - y\hat{y})$
-            
-             where $\hat{y}$ is the predicted score, $y \in \\{-1, 1\\}$ is the true label, and $m$ is the margin parameter set to 1 by default.
-            
-             Note that the labels used in this calculation are -1 and 1, unlike [Log Loss](xref:Microsoft.ML.Trainers.LogLoss), where the labels used are 0 and 1.
-             Also unlike [Log Loss](xref:Microsoft.ML.Trainers.LogLoss), $\hat{y}$ is the raw predicted score, not the predicted probability (which is calculated by applying a [sigmoid function](https://en.wikipedia.org/wiki/Sigmoid_function) to the predicted score).
-            
-             While the hinge loss function is both convex and continuous, it is not smooth (that is not differentiable) at $y\hat{y} = m$.
-             Consequently, it cannot be used with gradient descent methods or stochastic gradient descent methods, which rely on differentiability over the entire domain.
-            
-             For more, see [Hinge Loss for classification](https://en.wikipedia.org/wiki/Loss_functions_for_classification#Hinge_loss).
-            
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SmoothedHingeLoss">
-             <summary>
-             A smooth version of the <see cref="T:Microsoft.ML.Trainers.HingeLoss"/> function, commonly used in classification tasks.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             Let $f(\hat{y}, y) = 1 - y\hat{y}$, where $\hat{y}$ is the predicted score and $y \in \\{-1, 1\\}$ is the true label. $f(\hat{y}, y)$ here is the non-zero portion of the [Hinge Loss](xref:Microsoft.ML.Trainers.HingeLoss).
-            
-             Note that the labels used in this calculation are -1 and 1, unlike [Log Loss](xref:Microsoft.ML.Trainers.LogLoss), where the labels used are 0 and 1.
-             Also unlike [Log Loss](xref:Microsoft.ML.Trainers.LogLoss), $\hat{y}$ is the raw predicted score, not the predicted probability (which is calculated by applying a [sigmoid function](https://en.wikipedia.org/wiki/Sigmoid_function) to the predicted score).
-            
-             The Smoothed Hinge Loss function is then defined as:
-            
-             $
-             L(f(\hat{y}, y)) =
-             \begin{cases}
-             0                                  & \text{if } f(\hat{y}, y) < 0 \\\\
-             \frac{(f(\hat{y}, y))^2}{2\alpha}  & \text{if } f(\hat{y}, y) < \alpha \\\\
-             f(\hat{y}, y) - \frac{\alpha}{2}   & \text{otherwise}
-             \end{cases}
-             $
-            
-             where $\alpha$ is a smoothing parameter set to 1 by default.
-            
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SmoothedHingeLoss.#ctor(System.Single)">
-            <summary>
-            Constructor for smoothed hinge losee.
-            </summary>
-            <param name="smoothingConstant">The smoothing constant.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ExpLoss">
-             <summary>
-             Exponential Loss, commonly used in classification tasks.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             The Exponential Loss function is defined as:
-            
-             $L(\hat{y}, y) = e^{-\beta y \hat{y}}$
-            
-             where $\hat{y}$ is the predicted score, $y \in \\{-1, 1\\}$ is the true label, and $\beta$ is a scale factor set to 1 by default.
-            
-             Note that the labels used in this calculation are -1 and 1, unlike [Log Loss](xref:Microsoft.ML.Trainers.LogLoss), where the labels used are 0 and 1.
-             Also unlike [Log Loss](xref:Microsoft.ML.Trainers.LogLoss), $\hat{y}$ is the raw predicted score, not the predicted probability (which is calculated by applying a [sigmoid function](https://en.wikipedia.org/wiki/Sigmoid_function) to the predicted score).
-            
-             The Exponential Loss function penalizes incorrect predictions more than the [Hinge Loss](xref:Microsoft.ML.Trainers.HingeLoss) and has a larger gradient.
-            
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SquaredLoss">
-             <summary>
-             The Squared Loss, commonly used in regression tasks.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             The Squared Loss function is defined as:
-            
-             $L(\hat{y}, y) = (\hat{y} - y)^2$
-            
-             where $\hat{y}$ is the predicted value and $y$ is the true value.
-            
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PoissonLoss">
-             <summary>
-             Poisson Loss function for Poisson Regression.
-             </summary>
-             <remarks type="text/markdown"><![CDATA[
-            
-             The Poisson Loss function is defined as:
-            
-             $L(\hat{y}, y) = e^{\hat{y}} - y\hat{y}$
-            
-             where $\hat{y}$ is the predicted value, $y$ is the true label.
-            
-             ]]>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.TweedieLoss">
-             <summary>
-             Tweedie loss, based on the log-likelihood of the Tweedie distribution. This loss function is used in Tweedie regression.
-             </summary>
-             <remarks type="text/markdown"><![CDATA[
-            
-             The Tweedie Loss function is defined as:
-            
-             $
-             L(\hat{y}, y, i) =
-             \begin{cases}
-             \hat{y} - y ln(\hat{y}) + ln(\Gamma(y))                                                                                     & \text{if } i = 1 \\\\
-             \hat{y} + \frac{y}{\hat{y}} - \sqrt{y}                                                                                      & \text{if } i = 2 \\\\
-             \frac{(\hat{y})^{2 - i}}{2 - i} - y \frac{(\hat{y})^{1 - i}}{1 - i} - (\frac{y^{2 - i}}{2 - i} - y\frac{y^{1 - i}}{1 - i})  & \text{otherwise}
-             \end{cases}
-             $
-            
-             where $\hat{y}$ is the predicted value, $y$ is the true label, $\Gamma$ is the [Gamma function](https://en.wikipedia.org/wiki/Gamma_function), and $i$ is the index parameter for the [Tweedie distribution](https://en.wikipedia.org/wiki/Tweedie_distribution), in the range [1, 2].
-             $i$ is set to 1.5 by default. $i = 1$ is Poisson loss, $i = 2$ is gamma loss, and intermediate values are compound Poisson-Gamma loss.
-            
-             ]]>
-             </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.TweedieLoss.#ctor(System.Double)">
-            <summary>
-            Constructor for Tweedie loss.
-            </summary>
-            <param name="index">Index parameter for the Tweedie distribution, in the range [1, 2].
-            1 is Poisson loss, 2 is gamma loss, and intermediate values are compound Poisson loss.</param>
-        </member>
-        <member name="T:Microsoft.ML.Model.IParameterMixer">
-            <summary>
-            A generic interface for models that can average parameters from multiple instance of self
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.IParameterMixer`1">
-            <summary>
-            A generic interface for models that can average parameters from multiple instance of self
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.IQuantileRegressionPredictor">
-            <summary>
-            Predictor that can specialize for quantile regression. It will produce a <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/>, given
-            an array of quantiles.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.IDistribution`1">
-            <summary>
-            A generic interface for probability distributions
-            </summary>
-            <typeparam name="TResult">Type of statistics result</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Model.ISampleableDistribution`1.GetSupportSample(`0[]@)">
-            <summary>
-            Returns Support sample for the distribution.
-            </summary>
-            <param name="weights">Weights for the distribution.It will be null if the distribution is uniform.</param>
-            <returns>Returns Support sample</returns>
-        </member>
-        <member name="T:Microsoft.ML.Model.ICanSaveInTextFormat">
-            <summary>
-            Predictors that can output themselves in a human-readable text format
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ICanSaveInIniFormat">
-            <summary>
-            Predictors that can output themselves in the Bing ini format.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ICanSaveSummary">
-            <summary>
-            Predictors that can output Summary.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ICanGetSummaryInKeyValuePairs">
-            <summary>
-            Predictors that can output Summary in key value pairs.
-            The content of value 'object' can be any type such as integer, float, string or an array of them.
-            It is up the caller to check and decide how to consume the values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ICanGetSummaryInKeyValuePairs.GetSummaryInKeyValuePairs(Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Gets model summary including model statistics (if exists) in key value pairs.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ICanSaveInSourceCode">
-            <summary>
-            Predictors that can output themselves in C#/C++ code.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.SignatureFeatureScorerTrainer">
-            <summary>
-            Signature for trainers that produce predictors that in turn can be use to score features.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.IHaveFeatureWeights">
-            <summary>
-            Interface implemented by components that can assign weights to features.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.IHaveFeatureWeights.GetFeatureWeights(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns the weights for the features.
-            There should be at most as many weights as there are features.
-            If there are less weights, it is implied that the remaining features have a weight of zero.
-            The larger the absolute value of a weights, the more informative/important the feature.
-            A weights of zero signifies that the feature is not used by the model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.IPredictorWithFeatureWeights`1">
-            <summary>
-            Interface implemented by predictors that can score features.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ICanGetTrainingLabelNames">
-            <summary>
-            Interface for predictors that can return a string array containing the label names from the label column they were trained on.
-            If the training label is a key with text key value metadata, it should return this metadata. The order of the labels should be consistent
-            with the key values. Otherwise, it returns null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.ICanSaveOnnx.CanSaveOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext)">
-            <summary>
-            Whether this object really is capable of saving itself as part of an ONNX
-            pipeline. An implementor of this object might implement this interface,
-            but still return <c>false</c> if there is some characteristic of this object
-            only detectable during runtime that would prevent its being savable. (For example,
-            it may wrap some other object that may or may not be savable.)
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.ISaveAsOnnx">
-            <summary>
-            This component know how to save himself in ONNX format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.ISaveAsOnnx.SaveAsOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext)">
-            <summary>
-            Save as ONNX.
-            </summary>
-            <param name="ctx">The ONNX program being built</param>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.ITransformCanSaveOnnx">
-            <summary>
-            This data model component is savable as ONNX.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.IBindableCanSaveOnnx">
-            <summary>
-            This <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> is savable in ONNX. Note that this is
-            typically called within an <see cref="T:Microsoft.ML.Data.IDataScorerTransform"/> that is wrapping
-            this mapper, and has already been bound to it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.IBindableCanSaveOnnx.SaveAsOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext,Microsoft.ML.Data.RoleMappedSchema,System.String[])">
-            <summary>
-            Save as ONNX. If <see cref="M:Microsoft.ML.Model.OnnxConverter.ICanSaveOnnx.CanSaveOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext)"/> is
-            <c>false</c> this should not be called. This method is intended to be called
-            by the wrapping scorer transform, and is intended to produce enough information
-            for that purpose.
-            </summary>
-            <param name="ctx">The ONNX program being built</param>
-            <param name="schema">The role mappings that was passed to this bindable
-            object, when the <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/> was created that this transform
-            is wrapping</param>
-            <param name="outputNames">Since this method is called from a scorer transform,
-            it is that transform that controls what the output column names will be, of
-            the outputs produced by this bindable mapper. This is the array that holds
-            those names, so that implementors of this method know what to produce in
-            <paramref name="ctx"/>.</param>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.ISingleCanSaveOnnx">
-            <summary>
-            For simple mappers. Intended to be used for <see cref="T:Microsoft.ML.Data.IValueMapper"/> and
-            <see cref="T:Microsoft.ML.Calibrators.ICalibrator"/> instances.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.IDistCanSaveOnnx">
-            <summary>
-            For simple mappers. Intended to be used for <see cref="T:Microsoft.ML.Data.IValueMapperDist"/>
-            instances.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.OnnxContext">
-            <summary>
-            A context for defining a ONNX output. The context internally contains the model-in-progress being built. This
-            same context object is iteratively given to exportable components via the <see cref="T:Microsoft.ML.Model.OnnxConverter.ICanSaveOnnx"/> interface
-            and subinterfaces, that attempt to express their operations as ONNX nodes, if they can. At the point that it is
-            given to a component, all other components up to that component have already attempted to express themselves in
-            this context, with their outputs possibly available in the ONNX graph.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.GetNodeName(System.String)">
-            <summary>
-            Generates a unique name for the node based on a prefix.
-            </summary>
-            <param name="prefix">The prefix for the node</param>
-            <returns>A name that has not yet been returned from this function, starting with <paramref name="prefix"/></returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.IsVariableDefined(System.String)">
-            <summary>
-            Determine if a string has been used as ONNX variable name somewhere.
-            </summary>
-            <param name="variableName">examined string</param>
-            <returns>True if the input argument has been used to denote an ONNX variable. Otherwise, False.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.ContainsColumn(System.String)">
-            <summary>
-            Looks up whether a given data view column has a mapping in the ONNX context. Once confirmed, callers can
-            safely call <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.GetVariableName(System.String)"/>.
-            </summary>
-            <param name="colName">The data view column name</param>
-            <returns>Whether the column is mapped in this context</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.CheckOpSetVersion(System.Int32,System.String)">
-            <summary>
-            Check the required OpSet version satisfies our requirement
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.RemoveColumn(System.String,System.Boolean)">
-            <summary>
-            Stops tracking a column.
-            </summary>
-            <param name="colName">Column name to stop tracking</param>
-            <param name="removeVariable">Remove associated ONNX variable. This is useful in the event where an output
-            variable is created through <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddIntermediateVariable(Microsoft.ML.Data.DataViewType,System.String,System.Boolean)"/>before realizing
-            the transform cannot actually save as ONNX.</param>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.RemoveVariable(System.String,System.Boolean)">
-            <summary>
-            Removes an ONNX variable. If removeColumn is true then it also removes the tracking for the <see
-            cref="T:Microsoft.ML.IDataView"/> column associated with it.
-            </summary>
-            <param name="variableName">ONNX variable to remove. Note that this is an ONNX variable name, not an <see
-            cref="T:Microsoft.ML.IDataView"/> column name</param>
-            <param name="removeColumn">IDataView column to stop tracking</param>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.RemoveInputVariable(System.String)">
-            <summary>
-            Removes a variable from the input columns list. This function is used only by the ColumnSelectingTransformer.
-            </summary>
-            <param name="variableName">ONNX variable to remove. </param>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.GetVariableName(System.String)">
-            <summary>
-            ONNX variables are referred to by name. At each stage of a ML.NET pipeline, the corresponding
-            <see cref="T:Microsoft.ML.IDataView"/>'s column names will map to a variable in the ONNX graph if the intermediate steps
-            used to calculate that value are things we knew how to save as ONNX. Retrieves the variable name that maps
-            to the <see cref="T:Microsoft.ML.IDataView"/> column name at a given point in the pipeline execution. Callers should
-            probably confirm with <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.ContainsColumn(System.String)"/> whether a mapping for that data view column
-            already exists.
-            </summary>
-            <param name="colName">The data view column name</param>
-            <returns>The ONNX variable name corresponding to that data view column</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddIntermediateVariable(Microsoft.ML.Data.DataViewType,System.String,System.Boolean)">
-            <summary>
-            Establishes a new mapping from an data view column in the context, if necessary generates a unique name, and
-            returns that newly allocated name.
-            </summary>
-            <param name="type">The data view type associated with this column name</param>
-            <param name="colName">The data view column name</param>
-            <param name="skip">Whether we should skip the process of establishing the mapping from data view column to
-            ONNX variable name.</param>
-            <returns>The returned value is the name of the variable corresponding </returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.CreateNode(System.String,System.Collections.Generic.IEnumerable{System.String},System.Collections.Generic.IEnumerable{System.String},System.String,System.String)">
-            <summary>
-            Creates an ONNX node
-            </summary>
-            <param name="opType">The name of the ONNX operator to apply</param>
-            <param name="inputs">The names of the variables as inputs</param>
-            <param name="outputs">The names of the variables to create as outputs,
-            which ought to have been something returned from <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddIntermediateVariable(Microsoft.ML.Data.DataViewType,System.String,System.Boolean)"/></param>
-            <param name="name">The name of the operator, which ought to be something returned from <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.GetNodeName(System.String)"/></param>
-            <param name="domain">The domain of the ONNX operator, if non-default</param>
-            <returns>A node added to the in-progress ONNX graph, that attributes can be set on</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.CreateNode(System.String,System.String,System.String,System.String,System.String)">
-            <summary>
-            Convenience alternative to <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.CreateNode(System.String,System.Collections.Generic.IEnumerable{System.String},System.Collections.Generic.IEnumerable{System.String},System.String,System.String)"/>
-            for the case where there is exactly one input and output.
-            </summary>
-            <param name="opType">The name of the ONNX operator to apply</param>
-            <param name="input">The name of the variable as input</param>
-            <param name="output">The name of the variable as output,
-            which ought to have been something returned from <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddIntermediateVariable(Microsoft.ML.Data.DataViewType,System.String,System.Boolean)"/></param>
-            <param name="name">The name of the operator, which ought to be something returned from <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.GetNodeName(System.String)"/></param>
-            <param name="domain">The domain of the ONNX operator, if non-default</param>
-            <returns>A node added to the in-progress ONNX graph, that attributes can be set on</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.GetOnnxVersion">
-            <summary>
-            Get the targeted ONNX version string. Only two values are allowed now: "Stable" and "Experimental".
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.RetrieveShapeOrNull(System.String)">
-            <summary>
-            Retrieve the shape of an ONNX variable. Returns null if no shape for the specified variable can be found.
-            </summary>
-            <param name="variableName">The ONNX name of the returned shape</param>
-            <returns>The shape of the retrieved variable</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Boolean,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global bool scalar
-            </summary>
-            <param name="value">The boolean value which is going to be added</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Single,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global float scalar
-            </summary>
-            <param name="value">The float number which is going to be added</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Int32,System.Type,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global integer scalar or smaller types
-            </summary>
-            <param name="value">The float number which is going to be added</param>
-            <param name="type">The type of integer to be added, e.g. typeof(short). Use this for all integer types Int32 and smaller</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.String,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global string scalar
-            </summary>
-            <param name="value">The string which is going to be added into the ONNX graph</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Int64,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global long scalar
-            </summary>
-            <param name="value">The long number which is going to be added into the ONNX graph</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Double,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global double scalar
-            </summary>
-            <param name="value">The double number which is going to be added into the ONNX graph</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.UInt64,System.Boolean,System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global ulong or uint scalar
-            </summary>
-            <param name="value">The long number which is going to be added into the ONNX graph</param>
-            <param name="isUint64">true if value contains a ulong value and false if it contains uint </param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.Boolean},System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global bool tensor
-            </summary>
-            <param name="values">The boolean values which are going to be added into the ONNX graph</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.Single},System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global float tensor
-            </summary>
-            <param name="values">The floats which are going to be added into the ONNX graph</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.Int32},System.Type,System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global tensor of integer or smaller types
-            </summary>
-            <param name="values">The ints which are going to be added into the ONNX graph</param>
-            <param name="type">The type of ints which are going to be added into the ONNX graph, e.g. typeof(short). Use this for adding array initializers of integer types smaller than Int32</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.String},System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global string tensor
-            </summary>
-            <param name="values">The strings which are going to be added into the ONNX graph</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.Int64},System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global long tensor
-            </summary>
-            <param name="values">The longs which are going to be added into the ONNX graph</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.Double},System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global double tensor
-            </summary>
-            <param name="values">The doubles which are going to be added into the ONNX graph</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.AddInitializer(System.Collections.Generic.IEnumerable{System.UInt64},System.Boolean,System.Collections.Generic.IEnumerable{System.Int64},System.String,System.Boolean)">
-            <summary>
-            Call this function to declare a global ulong tensor
-            </summary>
-            <param name="values">The unsigned integers which are going to be added into the ONNX graph</param>
-            <param name="isUint64">Set to true if values contain ulong values false if they contain uint values</param>
-            <param name="dims">The shape of values</param>
-            <param name="name">A string used as a seed to generate this initializer's name in the ONNX graph.</param>
-            <param name="makeUniqueName">Whether a unique name should be picked for this initializer.</param>
-            <returns>The initializer's ONNX name</returns>
-        </member>
-        <member name="T:Microsoft.ML.Model.OnnxConverter.OnnxNode">
-            <summary>
-            An abstraction for an ONNX node as created by
-            <see cref="M:Microsoft.ML.Model.OnnxConverter.OnnxContext.CreateNode(System.String,System.Collections.Generic.IEnumerable{System.String},System.Collections.Generic.IEnumerable{System.String},System.String,System.String)"/>.
-            That method creates a with inputs and outputs, but this object can modify the node further
-            by adding attributes (in ONNX parlance, attributes are more or less constant parameterizations).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.BoundPfaContext">
-            <summary>
-            This wraps a <see cref="T:Microsoft.ML.Model.Pfa.PfaContext"/>, except with auxiliary information
-            that enables its inclusion relative to the <see cref="T:Microsoft.ML.IDataView"/> ecosystem.
-            The idea is that one starts with a context built from some starting point,
-            then subsequent transforms via <see cref="T:Microsoft.ML.Model.Pfa.ITransformCanSavePfa"/> augment this context.
-            Beyond what is offered in <see cref="T:Microsoft.ML.Model.Pfa.PfaContext"/>, <see cref="T:Microsoft.ML.Model.Pfa.BoundPfaContext"/>
-            has facilities to remember what column name in <see cref="T:Microsoft.ML.IDataView"/> maps to
-            what token in the PFA being built up.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Model.Pfa.BoundPfaContext.Pfa">
-            <summary>
-            The internal PFA context, for an escape hatch.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Model.Pfa.BoundPfaContext._nameToVarName">
-            <summary>
-            This will map from the "current" name of a data view column, to a corresponding
-            token string.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Model.Pfa.BoundPfaContext._unavailable">
-            <summary>
-            This contains a map of those names in
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.BoundPfaContext.Finalize(Microsoft.ML.DataViewSchema,System.String[])">
-            <summary>
-            This call will set <see cref="P:Microsoft.ML.Model.Pfa.PfaContext.OutputType"/> to an appropriate output type based
-            on the columns requested.
-            </summary>
-            <param name="schema">The schema corresponding to what we are outputting</param>
-            <param name="toOutput">The columns to output</param>
-            <returns>Returns a complete PFA program, where the output will correspond to the subset
-            of columns from <paramref name="schema"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.BoundPfaContext.DeclareVar(System.Collections.Generic.KeyValuePair{System.String,Newtonsoft.Json.Linq.JToken}[])">
-            <summary>
-            Attempts to declare variables corresponding to a given column name. This
-            will attempt to produce a PFA <c>let</c>/<c>set</c> declaration, and also
-            do name mapping. The idea is that any transform implementing <see cref="T:Microsoft.ML.Model.Pfa.ITransformCanSavePfa"/>
-            will call this method to say, "hey, I produce this column, and this is the equivalent
-            PFA for it."
-            </summary>
-            <param name="vars">The map from requested name, usually a dataview name,
-            to the declaration</param>
-            <returns>An array of assigned names in the PFA corresponding to the items in
-            vars</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.BoundPfaContext.Hide(System.String[])">
-            <summary>
-            As a complimentary operation to <see cref="M:Microsoft.ML.Model.Pfa.BoundPfaContext.DeclareVar(System.Collections.Generic.KeyValuePair{System.String,Newtonsoft.Json.Linq.JToken}[])"/>,
-            this provides a mechanism for a transform to say, "hey, I am producing this column, but I
-            am not writing any PFA for it, so if anyone asks for this column downstream don't say I
-            have it."
-            </summary>
-            <param name="names">The names to hide</param>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.BoundPfaContext.TokenOrNullForName(System.String)">
-            <summary>
-            Given an <see cref="T:Microsoft.ML.IDataView"/> column name, return the string for referencing the corresponding
-            token in the PFA, or <c>null</c> if such a thing does not exist.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.BoundPfaContext.IsInput(System.String)">
-            <summary>
-            Given an <see cref="T:Microsoft.ML.IDataView"/> column name, return whether in the PFA being built up
-            whether the corresponding PFA variable is still the input. This will return <c>false</c>
-            also in the event that the column is hidden, or simply not present.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Model.Pfa.ICanSavePfa.CanSavePfa">
-            <summary>
-            Whether this object really is capable of saving itself as part of a PFA
-            pipeline. An implementor of this object might implement this interface,
-            but still return <c>false</c> if there is some characteristic of this object
-            only detectable during runtime that would prevent its being savable. (For example,
-            it may wrap some other object that may or may not be savable.)
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.ISaveAsPfa">
-            <summary>
-            This component know how to save himself in Pfa format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.ISaveAsPfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext)">
-            <summary>
-            Save as PFA. For any columns that are output, this interface should use
-            <see cref="M:Microsoft.ML.Model.Pfa.BoundPfaContext.DeclareVar(System.String,Newtonsoft.Json.Linq.JToken)"/> to declare themselves,
-            while any unwritable columns should be registered <see cref="M:Microsoft.ML.Model.Pfa.BoundPfaContext.Hide(System.String[])"/>.
-            If <see cref="P:Microsoft.ML.Model.Pfa.ICanSavePfa.CanSavePfa"/> is <c>false</c> this should not be called.
-            </summary>
-            <param name="ctx">The PFA program being built</param>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.ITransformCanSavePfa">
-            <summary>
-            This data model component is savable as PFA. See https://dmg.org/pfa/ .
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.IBindableCanSavePfa">
-            <summary>
-            This <see cref="T:Microsoft.ML.Data.ISchemaBindableMapper"/> is savable as a PFA. Note that this is
-            typically called within an <see cref="T:Microsoft.ML.Data.IDataScorerTransform"/> that is wrapping
-            this mapper, and has already been bound to it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.IBindableCanSavePfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Microsoft.ML.Data.RoleMappedSchema,System.String[])">
-            <summary>
-            Save as PFA. If <see cref="P:Microsoft.ML.Model.Pfa.ICanSavePfa.CanSavePfa"/> is
-            <c>false</c> this should not be called. This method is intended to be called
-            by the wrapping scorer transform, and is intended to produce enough information
-            for that purpose.
-            </summary>
-            <param name="ctx">The PFA program being built</param>
-            <param name="schema">The role mappings that was passed to this bindable
-            object, when the <see cref="T:Microsoft.ML.Data.ISchemaBoundMapper"/> was created that this transform
-            is wrapping</param>
-            <param name="outputNames">Since this method is called from a scorer transform,
-            it is that transform that controls what the output column names will be, of
-            the outputs produced by this bindable mapper. This is the array that holds
-            those names, so that implementors of this method know what to produce in
-            <paramref name="ctx"/>.</param>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.ISingleCanSavePfa">
-            <summary>
-            For simple mappers. Intended to be used for <see cref="T:Microsoft.ML.Data.IValueMapper"/> and
-            <see cref="T:Microsoft.ML.Calibrators.ICalibrator"/> instances.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.ISingleCanSavePfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Implementors of this method are responsible for providing the PFA expression that
-            computes the output of this object. Note that this method does not control what name
-            will be given to the output, and is not responsible for declaring the variable into
-            which the output will be returned. (Though, the method may of course declare other
-            variables, cells, or such to enable this computation.)
-            </summary>
-            <param name="ctx">The PFA context</param>
-            <param name="input">The PFA token representing the input. In the case of
-            a predictor, for example, this would be a reference to the variable holding
-            the features array.</param>
-            <returns>A PFA expression</returns>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.IDistCanSavePfa">
-            <summary>
-            For simple mappers. Intended to be used for <see cref="T:Microsoft.ML.Data.IValueMapperDist"/>
-            instances.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.IDistCanSavePfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken,System.String,Newtonsoft.Json.Linq.JToken@,System.String,Newtonsoft.Json.Linq.JToken@)">
-            <summary>
-            The call for distribution predictors. Unlike <see cref="M:Microsoft.ML.Model.Pfa.ISingleCanSavePfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)"/>,
-            this method requires this method to handle the declaration of the variables for their
-            outputs, into the names <paramref name="score"/> and <paramref name="prob"/> provided.
-            </summary>
-            <param name="ctx">The PFA context</param>
-            <param name="input">The PFA token representing the input. In nearly all cases this will
-            be the name of the variable holding the features array.</param>
-            <param name="score">The name of the column where the implementing method should
-            save the expression, through <see cref="M:Microsoft.ML.Model.Pfa.BoundPfaContext.DeclareVar(System.String,Newtonsoft.Json.Linq.JToken)"/>,
-            or if <c>null</c></param>
-            <param name="scoreToken"></param>
-            <param name="prob">Similar to <paramref name="score"/>, except the probability expression.</param>
-            <param name="probToken"></param>
-        </member>
-        <member name="T:Microsoft.ML.Model.Pfa.PfaContext">
-            <summary>
-            A context for defining a restricted sort of PFA output.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.PfaContext.CreateFuncBlock(Newtonsoft.Json.Linq.JArray,Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            For creating an anonymous function block. This in itself will not modify the context.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.PfaContext.RegisterType(System.String)">
-             <summary>
-             PFA is weird in that you do not declare types separately, you declare them as part of a variable
-             declaration. So, if you use a record type three times, that means one of the three usages must be
-             accompanied by a full type declaration, whereas the other two can just then identify it by name.
-             This is extremely silly, but there you go.
-            
-             Anyway: this will attempt to add a type to the list of registered types. If it returns <c>true</c>
-             then the caller is responsible, then, for ensuring that their PFA code they are generating contains
-             not only a reference of the type, but a declaration of the type. If however this returns <c>false</c>
-             then it can just refer to the type by name, since it has already been declared.
-             </summary>
-             <param name="name">The type to register</param>
-             <returns>If this name was not already registered</returns>
-             <seealso cref="M:Microsoft.ML.Model.Pfa.PfaContext.ContainsType(System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.PfaUtils.Call(System.String,Newtonsoft.Json.Linq.JToken[])">
-            <summary>
-            Generic facilities for calling a function.
-            </summary>
-            <param name="func">The function to call</param>
-            <param name="prms">The parameters for the function</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.PfaUtils.VectorCase(Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Linq.JToken,System.String,Newtonsoft.Json.Linq.JToken,System.String,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Builds a "cast" statement to the two vector types.
-            </summary>
-            <param name="itemType">The type of the item in the vector</param>
-            <param name="src">The token we are casting</param>
-            <param name="asMapName">The name for the token as it will appear in the <paramref name="mapDo"/></param>
-            <param name="mapDo">The map case expression</param>
-            <param name="asArrName">The name for the token as it will appear in the <paramref name="arrDo"/></param>
-            <param name="arrDo">The array case expression</param>
-            <returns>The cast/case expression</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.PfaUtils.EnsureCount(Microsoft.ML.Model.Pfa.PfaContext,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            This ensures that there is a function formatted as "count_type" (for example, "count_double"),
-            that takes either a map or array and returns the number of items in that map or array.
-            </summary>
-            <param name="ctx">The context to check for the existence of this</param>
-            <param name="itemType">The item type this will operate on</param>
-        </member>
-        <member name="M:Microsoft.ML.Model.Pfa.PfaUtils.EnsureHasChars(Microsoft.ML.Model.Pfa.PfaContext)">
-            <summary>
-            A string -> bool function for determining whether a string has content.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ModelFileUtils">
-            <summary>
-            This class provides utilities for loading components from the model file generated by MAML commands.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadPipeline(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream,Microsoft.ML.Data.IMultiStreamSource,System.Boolean)">
-            <summary>
-            Loads and returns the loader and transforms from the specified model stream.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="modelStream">The model stream.</param>
-            <param name="files">The data source to initialize the loader with.</param>
-            <param name="extractInnerPipe">Whether to extract the transforms and loader from the wrapped CompositeDataLoader.</param>
-            <returns>The created data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadPipeline(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.RepositoryReader,Microsoft.ML.Data.IMultiStreamSource,System.Boolean)">
-            <summary>
-            Loads and returns the loader and transforms from the specified repository reader.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="rep">The repository reader.</param>
-            <param name="files">The data source to initialize the loader with.</param>
-            <param name="extractInnerPipe">Whether to extract the transforms and loader from the wrapped CompositeDataLoader.</param>
-            <returns>The created data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadTransforms(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.IO.Stream)">
-            <summary>
-            Loads all transforms from the model stream, applies them sequentially to the provided data, and returns
-            the resulting data. If there are no transforms in the stream, or if there's no DataLoader stream at all
-            (this can happen if the model is produced by old TL), returns the source data.
-            If the DataLoader stream is invalid, throws.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="data">The starting data view.</param>
-            <param name="modelStream">The model stream.</param>
-            <returns>The resulting data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadTransforms(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.RepositoryReader)">
-            <summary>
-            Loads all transforms from the model stream, applies them sequentially to the provided data, and returns
-            the resulting data. If there are no transforms in the stream, or if there's no DataLoader stream at all
-            (this can happen if the model is produced by old TL), returns the source data.
-            If the DataLoader stream is invalid, throws.
-            </summary>
-            <param name="env">The host environment to use.</param>
-            <param name="data">The starting data view.</param>
-            <param name="rep">The repository reader.</param>
-            <returns>The resulting data view.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadPredictorOrNull(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Loads a predictor from the model stream. Returns null iff there's no predictor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadPredictorOrNull(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.RepositoryReader)">
-            <summary>
-            Loads a predictor from the repository. Returns null iff there's no predictor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.GetDataModelSavingContext(Microsoft.ML.RepositoryWriter)">
-            <summary>
-            Given a repository, returns the save context for saving the data loader model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadLoader(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.RepositoryReader,Microsoft.ML.Data.IMultiStreamSource,System.Boolean)">
-            <summary>
-            Loads data view (loader and transforms) from <paramref name="rep"/> if <paramref name="loadTransforms"/> is set to true,
-            otherwise loads loader only.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.TryLoadFeatureNames(Microsoft.ML.Internal.Internallearn.FeatureNameCollection@,Microsoft.ML.RepositoryReader)">
-            <summary>
-            REVIEW: consider adding an overload that returns <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/>
-            Loads optionally feature names from the repository directory.
-            Returns false iff no stream was found for feature names, iff result is set to null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.SaveRoleMappings(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.RepositoryWriter)">
-            <summary>
-            Save schema associations of role/column-name in <paramref name="rep"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadRoleMappingsOrNull(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Return role/column-name pairs loaded from <paramref name="modelStream"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadRoleMappingsOrNull(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.RepositoryReader)">
-            <summary>
-            Return role/column-name pairs loaded from a repository.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadRoleMappedSchemaOrNull(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> from a model stream, or <c>null</c> if there were no
-            role mappings present.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Model.ModelFileUtils.LoadRoleMappedSchemaOrNull(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.RepositoryReader)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.Data.RoleMappedSchema"/> from a repository, or <c>null</c> if there were no
-            role mappings present.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ModelFileUtils.RepositoryStreamWrapper">
-            <summary>
-            The RepositoryStreamWrapper is a IMultiStreamSource wrapper of a Stream object in a repository.
-            It is used to deserialize RoleMappings.txt from a model zip file.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Model.ModelFileUtils.RepositoryStreamWrapper.EntryStream">
-            <summary>
-            A custom entry stream wrapper that includes custom dispose logic for disposing the entry
-            when the stream is disposed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs">
-            <summary>
-            Common output classes for trainers and transform entry-points.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.TransformOutput">
-            <summary>
-            The common output class for all transforms.
-            The output consists of the transformed dataset and the transformation model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.ITransformOutput">
-            <summary>
-            Interface that all API transform output classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.TrainerOutput">
-            <summary>
-            The common output class for all trainers.
-            The output is a trained predictor model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.CalibratorOutput">
-            <summary>
-            The common output for calibrators.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.ICalibratorOutput">
-            <summary>
-            Marker interface for calibrators output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.BinaryClassificationOutput">
-            <summary>
-            The common output for binary classification trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IBinaryClassificationOutput">
-            <summary>
-            Marker interface for binary classification trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.MulticlassClassificationOutput">
-            <summary>
-            The common output for multiclass classification trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IMulticlassClassificationOutput">
-            <summary>
-            Marker interface for multiclass classification trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.RegressionOutput">
-            <summary>
-            The common output for regression trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IRegressionOutput">
-            <summary>
-            Marker interface for regression trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.MultiRegressionOutput">
-            <summary>
-            The common output for multi regression trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IMultiRegressionOutput">
-            <summary>
-            Marker interface for multi regression trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.ClusteringOutput">
-            <summary>
-            The common output for clustering trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IClusteringOutput">
-            <summary>
-            Marker interface for clustering trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.AnomalyDetectionOutput">
-            <summary>
-            The common output for anomaly detection trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IAnomalyDetectionOutput">
-            <summary>
-            Marker interface for anomaly detection trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.RankingOutput">
-            <summary>
-            The common output for ranking trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IRankingOutput">
-            <summary>
-            Marker interface for ranking trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.SequencePredictionOutput">
-            <summary>
-            The common output for sequence prediction trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.ISequencePredictionOutput">
-            <summary>
-            Marker interface for sequence prediction trainer output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.ITrainerOutput">
-            <summary>
-            Interface that all API trainer output classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.MacroOutput">
-            <summary>
-            Macro output class base.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.MacroOutput`1">
-            <summary>
-            The common output class for all macro entry points.
-            The output class is the type parameter. The expansion must guarantee
-            that the generated graph will generate all the outputs.
-            </summary>
-            <typeparam name="TOut">The output class of the macro.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.EvaluateOutputBase">
-            <summary>
-            The common output class for all evaluators.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.ClassificationEvaluateOutput">
-            <summary>
-            The output class for classification evaluators.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.CommonEvaluateOutput">
-            <summary>
-            The output class for regression evaluators.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IEvaluatorOutput">
-            <summary>
-            Interface that all API evaluator output classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonOutputs.IClassificationEvaluatorOutput">
-            <summary>
-            Interface that all API evaluator output classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.Var`1">
-            <summary>
-            Marker class for the arguments that can be used as variables
-            in an entry point graph.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.ArrayVar`1">
-            <summary>
-            Marker class for the arguments that can be used as array output variables
-            in an entry point graph.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.DictionaryVar`1">
-            <summary>
-            Marker class for the arguments that can be used as dictionary output variables
-            in an entry point graph.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.EntryPointVariable">
-            <summary>
-            A descriptor of one 'variable' of the graph (input or output that is referenced as a $variable in the graph definition).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.EntryPointVariable.Value">
-            <summary>
-            The value. It will originally start as null, and then assigned to the value,
-            once it is available. The type is one of the valid types according to <see cref="M:Microsoft.ML.EntryPoints.EntryPointVariable.IsValidType(System.Type)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointVariable.IsValidType(System.Type)">
-            <summary>
-            Whether the given type is a valid one to be a variable.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointVariable.SetValue(System.Object)">
-            <summary>
-            Set the value. It is only allowed once.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.RunContext">
-            <summary>
-            A collection of all known variables, with an interface to add new variables, get values based on names etc.
-            This is populated by individual nodes when they parse their respective JSON definitions, and then the values are updated
-            during the node execution.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.RunContext.AddOutputVariable(System.String,System.Type)">
-            <summary>
-            Returns true if added new variable, false if variable already exists.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.EntryPointNode">
-            <summary>
-            A representation of one graph node.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.EntryPointNode.StageId">
-            <summary>
-            An alphanumeric string indicating the stage of a node.
-            The fact that the nodes share the same stage ID hints that they should be executed together whenever possible.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.EntryPointNode.Checkpoint">
-            <summary>
-            Hints that the output of this node should be checkpointed.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.EntryPointNode.Cost">
-            <summary>
-            The cost of running this node. NaN indicates unknown.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointNode.CheckAndSetInputValue(System.Collections.Generic.KeyValuePair{System.String,Newtonsoft.Json.Linq.JToken})">
-            <summary>
-            Checks the given JSON object key-value pair is a valid EntryPoint input and
-            extracts out any variables that need to be populated. These variables will be
-            added to the EntryPoint context. Input parameters that are not set to variables
-            will be immediately set using the input builder instance.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointNode.CheckAndMarkOutputValue(System.Collections.Generic.KeyValuePair{System.String,Newtonsoft.Json.Linq.JToken})">
-            <summary>
-            Checks the given JSON object key-value pair is a valid EntryPoint output.
-            Extracts out any variables that need to be populated and adds them to the
-            EntryPoint context.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.EntryPointNode.CanStart">
-            <summary>
-            Whether the node can run right now.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.VariableBinding">
-            <summary>
-            Represents a delayed binding in a JSON graph to an <see cref="T:Microsoft.ML.EntryPoints.EntryPointVariable"/>.
-            The subclasses allow us to express that we either desire the variable itself,
-            or a array-indexed or dictionary-keyed value from the variable, assuming it is
-            of an Array or Dictionary type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.VariableBinding.IsValidVariableName(Microsoft.ML.Runtime.IExceptionContext,System.String)">
-            <summary>
-            Verifies that the name of the graph variable is a valid one
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.ParameterBinding">
-            <summary>
-            Represents the l-value assignable destination of a <see cref="T:Microsoft.ML.EntryPoints.VariableBinding"/>.
-            Subclasses exist to express the needed bindings for subslots
-            of a yet-to-be-constructed array or dictionary EntryPoint input parameter
-            (for example, "myVar": ["$var1", "$var2"] would yield two <see cref="T:Microsoft.ML.EntryPoints.ArrayIndexParameterBinding"/>: (myVar, 0), (myVar, 1))
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.EvaluateInputBase">
-            <summary>
-            The base class for all evaluators inputs.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs">
-            <summary>
-            Common input interfaces for TLC components.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.ITransformInput">
-            <summary>
-            Interface that all API transform input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.IFeaturizerInput">
-            <summary>
-            Interface that all API trainable featurizers will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.ITrainerInput">
-            <summary>
-            Interface that all API trainer input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.ITrainerInputWithLabel">
-            <summary>
-            Interface that all API trainer input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.IUnsupervisedTrainerWithWeight">
-            <summary>
-            Interface that all API trainer input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.ITrainerInputWithWeight">
-            <summary>
-            Interface that all API trainer input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.ITrainerInputWithGroupId">
-            <summary>
-            Interface that all API trainer input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.ICalibratorInput">
-            <summary>
-            Interface that all API calibrator input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.CommonInputs.IEvaluatorInput">
-            <summary>
-            Interface that all API evaluator input classes will implement.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.InputBuilder">
-            <summary>
-            The class that creates and wraps around an instance of an input object and gradually populates all fields, keeping track of missing
-            required values. The values can be set from their JSON representation (during the graph parsing stage), as well as directly
-            (in the process of graph execution).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.GetFieldIndex(System.String)">
-            <summary>
-            Retreives the field index for a field with the given alias, or -1 if
-            that field alias is not found.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.GetFieldTypeOrNull(System.String)">
-            <summary>
-            Returns the Type of the given field, unwrapping any option
-            types to be of their inner type. If the given alias doesn't exist
-            this method returns null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.GetMissingValues">
-            <summary>
-            Returns the array of required values that were not specified using <see cref="M:Microsoft.ML.EntryPoints.InputBuilder.TrySetValue(System.String,System.Object)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.TrySetValueJson(System.String,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Set a value of a field specified by <paramref name="name"/> by parsing <paramref name="value"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.TrySetValue(System.String,System.Object)">
-            <summary>
-            Set a value of a field specified by <paramref name="name"/> directly to <paramref name="value"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.GetFieldAssignableValue(Microsoft.ML.Runtime.IExceptionContext,System.Type,System.Object)">
-            <summary>
-            Ensures that the given value can be assigned to an entry point field with
-            type <paramref name="type"/>. This method will wrap the value in the option
-            type if needed and throw an exception if the value isn't assignable.
-            </summary>
-            <param name="ectx">The exception context.</param>
-            <param name="type">Type type of the field this value is to be assigned to.</param>
-            <param name="value">The value, typically originates from either ParseJsonValue, or is an external, user-provided object.</param>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.MakeOptionalIfNeeded(Microsoft.ML.Runtime.IExceptionContext,System.Object,System.Type)">
-            <summary>
-            If outerType is an Optional{T}, the innerValue is wrapped in a constructed, explicit
-            Optional instance, otherwise the value is directly returned.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.InputBuilder.GetInstance">
-            <summary>
-            Returns the created instance.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.OutputHelper">
-            <summary>
-            This class wraps around the output object type, does not create an instance, and provides utility methods for field type checking
-            and extracting values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.OutputHelper.ExtractValues(System.Object)">
-            <summary>
-            Extract all values of a specified output object.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.FieldNames">
-            <summary>
-            These are the common field names used in the JSON objects for defining the manifest.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.FieldNames.Range">
-            <summary>
-            Range specific field names.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.FieldNames.Deprecated">
-            <summary>
-            Obsolete Attribute specific field names.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.FieldNames.SweepableLongParam">
-            <summary>
-            SweepableLongParam specific field names.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.FieldNames.SweepableFloatParam">
-            <summary>
-            SweepableFloatParam specific field names.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.FieldNames.SweepableDiscreteParam">
-            <summary>
-            SweepableDiscreteParam specific field names.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.PredictorModelImpl">
-            <summary>
-            This class encapsulates the predictor and a preceding transform model, as the concrete and hidden
-            implementation of <see cref="T:Microsoft.ML.EntryPoints.PredictorModel"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.SelectRows">
-            <summary>
-            Entry point methods for row filtering and selection.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.EntryPoints.TransformModelImpl">
-            <summary>
-            This encapsulates zero or more transform models. It does this by recording
-            the initial schema, together with the sequence of transforms applied to that
-            schema.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.EntryPoints.TransformModelImpl._chain">
-            <summary>
-            This contains the transforms to save instantiated on an <see cref="T:Microsoft.ML.IDataView"/> with
-            appropriate initial schema. Note that the "root" of this is typically either
-            an empty <see cref="T:Microsoft.ML.IDataView"/> or a <see cref="T:Microsoft.ML.Data.IO.BinaryLoader"/> with no rows. However, other root
-            types are possible, since we don't insist on this when loading a model
-            from a zip file. However, whenever we save, we force a <see cref="T:Microsoft.ML.Data.IO.BinaryLoader"/> to
-            be serialized for the root.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TransformModelImpl.InputSchema">
-            <summary>
-            The input schema that this transform model was originally instantiated on.
-            Note that the schema may have columns that aren't needed by this transform model.
-            If an <see cref="T:Microsoft.ML.IDataView"/> exists with this schema, then applying this transform model to it
-            shouldn't fail because of column type issues.
-            REVIEW: Would be nice to be able to trim this to the minimum needed somehow. Note
-            however that doing so may cause issues for composing transform models. For example,
-            if transform model A needs column X and model B needs Y, that is NOT produced by A,
-            then trimming A's input schema would cause composition to fail.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.EntryPoints.TransformModelImpl.OutputSchema">
-            <summary>
-            The resulting schema once applied to this model. The <see cref="P:Microsoft.ML.EntryPoints.TransformModelImpl.InputSchema"/> might have
-            columns that are not needed by this transform and these columns will be seen in the
-            <see cref="P:Microsoft.ML.EntryPoints.TransformModelImpl.OutputSchema"/> produced by this transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.IDataView)">
-            <summary>
-            Create a TransformModel containing the transforms from "result" back to "input".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewSchema,Microsoft.ML.Data.IDataTransform[])">
-            <summary>
-            Create a TransformModel containing the given (optional) transforms applied to the
-            given root schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Load a transform model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.Apply(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView)">
-            <summary>
-            Apply this transform model to the given input data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.Apply(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.EntryPoints.TransformModel)">
-            <summary>
-            Apply this transform model to the given input transform model to produce a composite transform model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.Save(Microsoft.ML.Runtime.IHostEnvironment,System.IO.Stream)">
-            <summary>
-            Save this transform model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.EntryPoints.TransformModelImpl.CompositeRowToRowMapper.Microsoft#ML#Data#IRowToRowMapper#GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.LoggingEventArgs">
-            <summary>
-            Provides data for the <see cref="E:Microsoft.ML.MLContext.Log"/> event.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.LoggingEventArgs.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.LoggingEventArgs"/> class.
-            </summary>
-            <param name="message">The message being logged.</param>
-        </member>
-        <member name="M:Microsoft.ML.LoggingEventArgs.#ctor(System.String,Microsoft.ML.Runtime.ChannelMessageKind,System.String)">
-            <summary>
-            Initializes a new instane of <see cref="T:Microsoft.ML.LoggingEventArgs"/> class that includes the kind and source of the message
-            </summary>
-            <param name="message"> The message being logged </param>
-            <param name="kind"> The type of message <see cref="T:Microsoft.ML.Runtime.ChannelMessageKind"/> </param>
-            <param name="source"> The source of the message </param>
-        </member>
-        <member name="P:Microsoft.ML.LoggingEventArgs.Source">
-            <summary>
-            Gets the source component of the event
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoggingEventArgs.Kind">
-            <summary>
-            Gets the type of message
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoggingEventArgs.Message">
-            <summary>
-            Gets the message being logged.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.LoggingEventArgs.RawMessage">
-            <summary>
-            Gets the original message that doesn't include the source and kind
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.MLContext">
-            <summary>
-            The common context for all ML.NET operations. Once instantiated by the user, it provides a way to
-            create components for data preparation, feature engineering, training, prediction, and model evaluation.
-            It also allows logging, execution control, and the ability to set repeatable random numbers.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.BinaryClassification">
-            <summary>
-            Trainers and tasks specific to binary classification problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.MulticlassClassification">
-            <summary>
-            Trainers and tasks specific to multiclass classification problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Regression">
-            <summary>
-            Trainers and tasks specific to regression problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Clustering">
-            <summary>
-            Trainers and tasks specific to clustering problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Ranking">
-            <summary>
-            Trainers and tasks specific to ranking problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.AnomalyDetection">
-            <summary>
-            Trainers and tasks specific to anomaly detection problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Forecasting">
-            <summary>
-            Trainers and tasks specific to forecasting problems.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Transforms">
-            <summary>
-            Data processing operations.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Model">
-            <summary>
-            Operations with trained models.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.Data">
-            <summary>
-            Data loading and saving.
-            </summary>
-        </member>
-        <member name="E:Microsoft.ML.MLContext.Log">
-            <summary>
-            The handler for the log messages.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.ComponentCatalog">
-            <summary>
-            This is a catalog of components that will be used for model loading.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.TempFilePath">
-            <summary>
-            Gets or sets the location for the temp files created by ML.NET.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.FallbackToCpu">
-            <summary>
-            Allow falling back to run on CPU if couldn't run on GPU.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MLContext.GpuDeviceId">
-            <summary>
-            GPU device ID to run execution on, <see langword="null" /> to run on CPU.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.MLContext.#ctor(System.Nullable{System.Int32})">
-             <summary>
-             Create the ML context.
-             </summary>
-             <param name="seed">Seed for MLContext's random number generator. See the remarks for more details.</param>
-             <remarks>
-             Many operations in ML.NET require randomness, such as
-             random data shuffling, random sampling, random parameter initialization,
-             random permutation, random feature selection, and many more.
-             MLContext's random number generator is the global source of randomness for
-             all of such random operations.
-            
-             If a fixed seed is provided by <paramref name="seed"/>, MLContext environment becomes
-             deterministic, meaning that the results are repeatable and will remain the same across multiple runs.
-             For instance in many of ML.NET's API reference example code snippets, a seed is provided.
-             That's because we want the users to get the same output as what's included in example comments,
-             when they run the example on their own machine.
-            
-             Generally though, repeatability is not a requirement and that's the default behavior.
-             If a seed is not provided by <paramref name="seed"/>, i.e. it's set to <see langword="null"/>,
-             MLContext environment becomes non-deterministic and outputs change across multiple runs.
-            
-             There are many operations in ML.NET that don't use any randomness, such as
-             min-max normalization, concatenating columns, missing value indication, etc.
-             The behavior of those operations are deterministic regardless of the seed value.
-            
-             Also ML.NET trainers don't use randomness *after* the training is finished.
-             So, the predictions from a loaded model don't depend on the seed value.
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.ModelOperationsCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to save and load trained models.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.Save``1(Microsoft.ML.ITransformer,Microsoft.ML.IDataLoader{``0},System.IO.Stream)">
-            <summary>
-            Save a transformer model and the loader used to create its input data to the stream.
-            </summary>
-            <param name="model">The trained model to be saved. Note that this can be <see langword="null"/>, as a shorthand
-            for an empty transformer chain. Upon loading with <see cref="M:Microsoft.ML.ModelOperationsCatalog.LoadWithDataLoader(System.IO.Stream,Microsoft.ML.IDataLoader{Microsoft.ML.Data.IMultiStreamSource}@)"/>
-            the returned value will be an empty <see cref="T:Microsoft.ML.Data.TransformerChain`1"/>.</param>
-            <param name="loader">The loader that was used to create data to train the model.</param>
-            <param name="stream">A writeable, seekable stream to save to.</param>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.Save``1(Microsoft.ML.ITransformer,Microsoft.ML.IDataLoader{``0},System.String)">
-            <summary>
-            Save a transformer model and the loader used to create its input data to the file.
-            </summary>
-            <param name="model">The trained model to be saved. Note that this can be <see langword="null"/>, as a shorthand
-            for an empty transformer chain. Upon loading with <see cref="M:Microsoft.ML.ModelOperationsCatalog.LoadWithDataLoader(System.IO.Stream,Microsoft.ML.IDataLoader{Microsoft.ML.Data.IMultiStreamSource}@)"/>
-            the returned value will be an empty <see cref="T:Microsoft.ML.Data.TransformerChain`1"/>.</param>
-            <param name="loader">The loader that was used to create data to train the model.</param>
-            <param name="filePath">Path where model should be saved.</param>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.Save(Microsoft.ML.ITransformer,Microsoft.ML.DataViewSchema,System.IO.Stream)">
-            <summary>
-            Save a transformer model and the schema of the data that was used to train it to the stream.
-            </summary>
-            <param name="model">The trained model to be saved. Note that this can be <see langword="null"/>, as a shorthand
-            for an empty transformer chain. Upon loading with <see cref="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)"/> the returned value will
-            be an empty <see cref="T:Microsoft.ML.Data.TransformerChain`1"/>.</param>
-            <param name="inputSchema">The schema of the input to the transformer. This can be <see langword="null"/>.</param>
-            <param name="stream">A writeable, seekable stream to save to.</param>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.Save(Microsoft.ML.ITransformer,Microsoft.ML.DataViewSchema,System.String)">
-            <summary>
-            Save a transformer model and the schema of the data that was used to train it to the file.
-            </summary>
-            <param name="model">The trained model to be saved. Note that this can be <see langword="null"/>, as a shorthand
-            for an empty transformer chain. Upon loading with <see cref="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)"/> the returned value will
-            be an empty <see cref="T:Microsoft.ML.Data.TransformerChain`1"/>.</param>
-            <param name="inputSchema">The schema of the input to the transformer. This can be <see langword="null"/>.</param>
-            <param name="filePath">Path where model should be saved.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Save](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/ModelOperations/SaveLoadModel.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)">
-            <summary>
-            Load the model and its input schema from a stream.
-            </summary>
-            <param name="stream">A readable, seekable stream to load from.</param>
-            <param name="inputSchema">Will contain the input schema for the model. If the model was saved without
-            any description of the input, there will be no input schema. In this case this can be <see langword="null"/>.</param>
-            <returns>The loaded model.</returns>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Save](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/ModelOperations/SaveLoadModel.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.Load(System.String,Microsoft.ML.DataViewSchema@)">
-            <summary>
-            Load the model and its input schema from a file.
-            </summary>
-            <param name="filePath">Path to a file where the model should be read from.</param>
-            <param name="inputSchema">Will contain the input schema for the model. If the model was saved without
-            any description of the input, there will be no input schema. In this case this can be <see langword="null"/>.</param>
-            <returns>The loaded model.</returns>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Save](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/ModelOperations/SaveLoadModelFile.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.DecomposeLoader(Microsoft.ML.IDataLoader{Microsoft.ML.Data.IMultiStreamSource}@)">
-            <summary>
-            Given a loader, test try to "decompose" it into a source loader, and its transform if any.
-            If necessary an empty chain will be created to stand in for the trivial transformation; it
-            should never return <see langword="null"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.LoadWithDataLoader(System.IO.Stream,Microsoft.ML.IDataLoader{Microsoft.ML.Data.IMultiStreamSource}@)">
-            <summary>
-            Load a transformer model and a data loader model from a stream.
-            </summary>
-            <param name="stream">A readable, seekable stream to load from.</param>
-            <param name="loader">The data loader from the model stream. Note that if there is no data loader,
-            this method will throw an exception. The scenario where no loader is stored in the stream should
-            be handled instead using the <see cref="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)"/> method.</param>
-            <returns>The transformer model from the model stream.</returns>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.LoadWithDataLoader(System.String,Microsoft.ML.IDataLoader{Microsoft.ML.Data.IMultiStreamSource}@)">
-            <summary>
-            Load a transformer model and a data loader model from a file.
-            </summary>
-            <param name="filePath">Path to a file where the model should be read from.</param>
-            <param name="loader">The data loader from the model stream. Note that if there is no data loader,
-            this method will throw an exception. The scenario where no loader is stored in the stream should
-            be handled instead using the <see cref="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)"/> method.</param>
-            <returns>The transformer model from the model file.</returns>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.CreatePredictionEngine``2(Microsoft.ML.ITransformer,System.Boolean,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Create a prediction engine for one-time prediction (default usage).
-            </summary>
-            <typeparam name="TSrc">The class that defines the input data.</typeparam>
-            <typeparam name="TDst">The class that defines the output data.</typeparam>
-            <param name="transformer">The transformer to use for prediction.</param>
-            <param name="ignoreMissingColumns">Whether to throw an exception if a column exists in
-            <paramref name="outputSchemaDefinition"/> but the corresponding member doesn't exist in
-            <typeparamref name="TDst"/>.</param>
-            <param name="inputSchemaDefinition">Additional settings of the input schema.</param>
-            <param name="outputSchemaDefinition">Additional settings of the output schema.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Save](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/ModelOperations/SaveLoadModel.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.CreatePredictionEngine``2(Microsoft.ML.ITransformer,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Create a prediction engine for one-time prediction.
-            It's mainly used in conjunction with <see cref="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)"/>,
-            where input schema is extracted during loading the model.
-            </summary>
-            <typeparam name="TSrc">The class that defines the input data.</typeparam>
-            <typeparam name="TDst">The class that defines the output data.</typeparam>
-            <param name="transformer">The transformer to use for prediction.</param>
-            <param name="inputSchema">Input schema.</param>
-        </member>
-        <member name="M:Microsoft.ML.ModelOperationsCatalog.CreatePredictionEngine``2(Microsoft.ML.ITransformer,Microsoft.ML.PredictionEngineOptions)">
-            <summary>
-            Create a prediction engine for one-time prediction.
-            It's mainly used in conjunction with <see cref="M:Microsoft.ML.ModelOperationsCatalog.Load(System.IO.Stream,Microsoft.ML.DataViewSchema@)"/>,
-            where input schema is extracted during loading the model.
-            </summary>
-            <typeparam name="TSrc">The class that defines the input data.</typeparam>
-            <typeparam name="TDst">The class that defines the output data.</typeparam>
-            <param name="transformer">The transformer to use for prediction.</param>
-            <param name="options">Advanced configuration options.</param>
-        </member>
-        <member name="T:Microsoft.ML.PredictionEngineExtensions">
-            <summary>
-            Extension methods to create a prediction engine.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.PredictionEngineExtensions.CreatePredictionEngine``2(Microsoft.ML.ITransformer,Microsoft.ML.Runtime.IHostEnvironment,System.Boolean,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition,System.Boolean)">
-            <summary>
-            Create a prediction engine for one-time prediction.
-            </summary>
-            <typeparam name="TSrc">The class that defines the input data.</typeparam>
-            <typeparam name="TDst">The class that defines the output data.</typeparam>
-            <param name="transformer">The transformer to use for prediction.</param>
-            <param name="env">The environment to use.</param>
-            <param name="ignoreMissingColumns">Whether to throw an exception if a column exists in
-            <paramref name="outputSchemaDefinition"/> but the corresponding member doesn't exist in
-            <typeparamref name="TDst"/>.</param>
-            <param name="inputSchemaDefinition">Additional settings of the input schema.</param>
-            <param name="outputSchemaDefinition">Additional settings of the output schema.</param>
-            <param name="ownsTransformer">Whether the prediction engine owns the transformer and should dispose of it.</param>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.SignatureCalibrator">
-            <summary>
-            Signature for the loaders of calibrators.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.ICalibratorTrainer">
-            <summary>
-            This is a legacy interface still used for the command line and entry-points. All applications should transition away
-            from this interface and still work instead via <see cref="T:Microsoft.ML.IEstimator`1"/> of <see cref="T:Microsoft.ML.Calibrators.CalibratorTransformer`1"/>,
-            for example, the subclasses of <see cref="T:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1"/>. However for now we retain this
-            until such time as those components making use of it can transition to the new way. No public surface should use
-            this, and even new internal code should avoid its use if possible.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.ICalibratorTrainer.NeedsTraining">
-            <summary>
-            True if the calibrator needs training, false otherwise.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.ICalibratorTrainer.ProcessTrainingExample(System.Single,System.Boolean,System.Single)">
-            <summary> Training calibrators:  provide the  output and the class label </summary>
-            <returns> True if it needs more examples, false otherwise</returns>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.ICalibratorTrainer.FinishTraining(Microsoft.ML.Runtime.IChannel)">
-            <summary> Finish up training after seeing all examples </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.IHaveCalibratorTrainer">
-            <summary>
-            This is a shim interface implemented only by <see cref="T:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1"/> to enable
-            access to the underlying legacy <see cref="T:Microsoft.ML.Calibrators.ICalibratorTrainer"/> interface for those components that use
-            that old mechanism that we do not care to change right now.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.ISelfCalibratingPredictor">
-            <summary>
-            An interface for predictors that take care of their own calibration given an input data view.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.IWeaklyTypedCalibratedModelParameters">
-            <summary>
-            <see cref="T:Microsoft.ML.Calibrators.IWeaklyTypedCalibratedModelParameters"/> provides a weekly-typed way to access strongly-typed
-            <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.SubModel"/> and
-            <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Calibrator"/>.
-            <see cref="T:Microsoft.ML.Calibrators.IWeaklyTypedCalibratedModelParameters"/> is commonly used in weekly-typed expressions. The
-            existence of this interface is just for supporting existing codebase, so we discourage its uses.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.CalibratedModelParametersBase">
-            <summary>
-            Base class for calibrated model parameters.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2">
-            <summary>
-            Class for allowing a post-processing step, defined by <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Calibrator"/>, to <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.SubModel"/>'s
-            output.
-            </summary>
-            <typeparam name="TSubModel">Type being calibrated.</typeparam>
-            <typeparam name="TCalibrator">Type used to calibrate.</typeparam>
-            <remarks>
-            For example, in binary classification, <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Calibrator"/> can convert support vector machine's
-            output value to the probability of belonging to the positive (or negative) class. Detailed math materials
-            can be found at <a href="https://www.csie.ntu.edu.tw/~cjlin/papers/plattprob.pdf">this paper</a>.
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.SubModel">
-            <summary>
-            <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.SubModel"/>'s output would calibrated by <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Calibrator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Calibrator">
-            <summary>
-            <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Calibrator"/> is used to post-process score produced by <see cref="P:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.SubModel"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2.Microsoft#ML#Model#ICanGetSummaryInKeyValuePairs#GetSummaryInKeyValuePairs(Microsoft.ML.Data.RoleMappedSchema)">
-            <inheritdoc/>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.ParameterMixingCalibratedModelParameters`2">
-            <summary>
-            Encapsulates a predictor and a calibrator that implement <see cref="T:Microsoft.ML.Model.IParameterMixer"/>.
-            Its implementation of <see cref="M:Microsoft.ML.Model.IParameterMixer.CombineParameters(System.Collections.Generic.IList{Microsoft.ML.Model.IParameterMixer})"/> combines both the predictors and the calibrators.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.SchemaBindableCalibratedModelParameters`2.Bound.Microsoft#ML#Data#ISchemaBoundRowMapper#GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.SchemaBindableCalibratedModelParameters`2.Microsoft#ML#Model#Pfa#ICanSavePfa#CanSavePfa">
-            <summary>
-            Whether we can save as PFA. Note that this depends on whether the underlying predictor
-            can save as PFA, since in the event that this in particular does not get saved,
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorUtils.TrainCalibratorIfNeeded(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Calibrators.ICalibratorTrainer,System.Int32,Microsoft.ML.ITrainer,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedData)">
-            <summary>
-            Trains a calibrator, if needed.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="ch">The channel.</param>
-            <param name="calibrator">The calibrator trainer.</param>
-            <param name="maxRows">The maximum rows to use for calibrator training.</param>
-            <param name="trainer">The trainer used to train the predictor.</param>
-            <param name="predictor">The predictor that needs calibration.</param>
-            <param name="data">The examples to used for calibrator training.</param>
-            <returns>The original predictor, if no calibration is needed,
-            or a metapredictor that wraps the original predictor and the newly trained calibrator.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorUtils.GetCalibratedPredictor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Calibrators.ICalibratorTrainer,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedData,System.Int32)">
-            <summary>
-            Trains a calibrator.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="ch">The channel.</param>
-            <param name="caliTrainer">The calibrator trainer.</param>
-            <param name="predictor">The predictor that needs calibration.</param>
-            <param name="data">The examples to used for calibrator training.</param>
-            <param name="maxRows">The maximum rows to use for calibrator training.</param>
-            <returns>The original predictor, if no calibration is needed,
-            or a metapredictor that wraps the original predictor and the newly trained calibrator.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorUtils.TrainCalibrator(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Calibrators.ICalibratorTrainer,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedData,System.Int32)">
-            <summary>
-            Trains a calibrator.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="ch">The channel.</param>
-            <param name="caliTrainer">The calibrator trainer.</param>
-            <param name="predictor">The predictor that needs calibration.</param>
-            <param name="data">The examples to used for calibrator training.</param>
-            <param name="maxRows">The maximum rows to use for calibrator training.</param>
-            <returns>The original predictor, if no calibration is needed,
-            or a metapredictor that wraps the original predictor and the newly trained calibrator.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.NaiveCalibratorTrainer">
-            <summary>
-            Trains a <see cref="T:Microsoft.ML.Calibrators.NaiveCalibrator"/> by dividing the range of the outputs into equally sized bins.
-            The probability of belonging to a particular class, for example class 1, is the number of class 1 instances in the bin, divided by the total number
-            of instances in that bin.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.NaiveCalibratorTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.NaiveCalibratorTrainer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.NaiveCalibrator">
-            <summary>
-            The naive binning-based calibrator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.NaiveCalibrator.Microsoft#ML#Model#OnnxConverter#ICanSaveOnnx#CanSaveOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext)">
-            <summary>
-            Bool required by the interface ISingleCanSaveOnnx, returns true if
-            and only if calibrator can be exported in ONNX.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Calibrators.NaiveCalibrator.BinSize">
-            <summary> The bin size.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Calibrators.NaiveCalibrator.Min">
-            <summary> The minimum value in the first bin.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.NaiveCalibrator.BinProbs">
-            <summary> The value of probability in each bin.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.NaiveCalibrator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Single,System.Single,System.Single[])">
-            <summary> Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.NaiveCalibrator"/>.</summary>
-            <param name="env">The <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> to use.</param>
-            <param name="min">The minimum value in the first bin.</param>
-            <param name="binProbs">The values of the probability in each bin.</param>
-            <param name="binSize">The bin size.</param>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.NaiveCalibrator.PredictProbability(System.Single)">
-            <summary>
-            Given a classifier output, produce the probability
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.CalibratorTrainerBase">
-            <summary>
-            Base class for calibrator trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorTrainerBase.DataStore.GetEnumerator">
-            <summary>
-            An enumerator over the <see cref="T:Microsoft.ML.Calibrators.CalibratorTrainerBase.DataStore.DataItem"/> entries sorted by score.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorTrainerBase.Microsoft#ML#Calibrators#ICalibratorTrainer#ProcessTrainingExample(System.Single,System.Boolean,System.Single)">
-            <summary>
-            Training calibrators:  provide the classifier output and the class label
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.PlattCalibrator">
-            <summary>
-             The Platt calibrator calculates the probability following:
-             P(x) = 1 / (1 + exp(<see cref="P:Microsoft.ML.Calibrators.PlattCalibrator.Slope"/> * x + <see cref="P:Microsoft.ML.Calibrators.PlattCalibrator.Offset"/>)
-             </summary>.
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.PlattCalibrator.Slope">
-            <summary>
-            Slope value for this calibrator.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Calibrators.PlattCalibrator.Offset">
-            <summary>
-            Offset value for this calibrator
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.PlattCalibrator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Double,System.Double)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.PlattCalibrator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.PlattCalibrator.PredictProbability(System.Single)">
-            <summary> Given a classifier output, produce the probability.</summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.IsotonicCalibrator">
-             <summary>
-             The isotonic calibrator.
-             </summary>
-             <remarks>
-             The function that is implemented by this calibrator is:
-             P(x) =
-             <list type="bullet">
-             <item><description><see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Values"/>[i], if <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Mins"/>[i] &lt;= x &lt;= <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Maxes"/>[i]</description>></item>
-             <item> <description>Linear interpolation between <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Values"/>[i] and <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Values"/>[i+1], if <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Maxes"/>[i] &lt; x &lt; <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Mins"/>[i+1]</description></item>
-             <item><description><see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Values"/>[0], if x &lt; <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Mins"/>[0]</description></item>
-             <item><description><see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Values"/>[n], if x &gt; <see cref="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Maxes"/>[n]</description></item>
-            </list>
-             </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Mins">
-            <summary>
-            Bottom borders of PAV intervals.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Maxes">
-            <summary>
-            Upper borders of PAV intervals.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Calibrators.IsotonicCalibrator.Values">
-            <summary>
-            Values of PAV intervals.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.IsotonicCalibrator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Collections.Immutable.ImmutableArray{System.Single},System.Collections.Immutable.ImmutableArray{System.Single},System.Collections.Immutable.ImmutableArray{System.Single})">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.IsotonicCalibrator"/>.
-            </summary>
-            <param name="env">The <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> to use.</param>
-            <param name="mins">The minimum values for each piece.</param>
-            <param name="maxes">The maximum values for each piece.</param>
-            <param name="values">The actual values for each piece.</param>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.IsotonicCalibrator.PredictProbability(System.Single)">
-            <summary> Given a classifier output, produce the probability.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.Calibrate.CalibratePredictor``1(Microsoft.ML.Runtime.IHost,Microsoft.ML.Calibrators.Calibrate.CalibrateInputBase,Microsoft.ML.Calibrators.ICalibratorTrainer)">
-            <summary>
-            This method calibrates the specified predictor using the specified calibrator, training on the specified data.
-            </summary>
-            <param name="host">A host to pass to the components created in this method.</param>
-            <param name="input">The input object, containing the predictor, the data and an integer indicating the maximum number
-            of examples to use for training the calibrator.</param>
-            <param name="calibratorTrainer">The kind of calibrator to use.</param>
-            <returns>A <see cref="T:Microsoft.ML.EntryPoints.CommonOutputs.TrainerOutput"/> object, containing an <see cref="T:Microsoft.ML.EntryPoints.PredictorModel"/>.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.ICalibrator">
-            <summary>
-            An interface for probability calibrators.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.ICalibrator.PredictProbability(System.Single)">
-            <summary> Given a classifier output, produce the probability.</summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1">
-            <summary>
-            Base class for calibrator estimators.
-            </summary>
-            <remarks>
-            CalibratorEstimators take an <see cref="T:Microsoft.ML.IDataView"/> (the output of a <see cref="T:Microsoft.ML.Data.BinaryClassifierScorer"/>)
-            that contains a &quot;Score&quot; column, and converts the scores to probabilities(through binning, interpolation etc.), based on the <typeparamref name="TICalibrator"/> type.
-            They are used in pipelines where the binary classifier produces non-calibrated scores.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1.Microsoft#ML#IEstimator{Microsoft#ML#Calibrators#CalibratorTransformer{TICalibrator}}#GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Gets the output <see cref="T:Microsoft.ML.SchemaShape"/> of the <see cref="T:Microsoft.ML.IDataView"/> after fitting the calibrator.
-            Fitting the calibrator will add a column named "Probability" to the schema. If you already had such a column, a new one will be added.
-            The same annotation data that would be produced by <see cref="M:Microsoft.ML.Data.AnnotationUtils.GetTrainerOutputAnnotation(System.Boolean)"/> is marked as
-            being present on the output, if it is present on the input score column.
-            </summary>
-            <param name="inputSchema">The input <see cref="T:Microsoft.ML.SchemaShape"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Fits the scored <see cref="T:Microsoft.ML.IDataView"/> creating a <see cref="T:Microsoft.ML.Calibrators.CalibratorTransformer`1"/> that can transform the data by adding a
-            <see cref="F:Microsoft.ML.Data.DefaultColumnNames.Probability"/> column containing the calibrated <see cref="F:Microsoft.ML.Data.DefaultColumnNames.Score"/>.
-            </summary>
-            <param name="input"></param>
-            <returns>A trained <see cref="T:Microsoft.ML.Calibrators.CalibratorTransformer`1"/> that will transform the data by adding the
-            <see cref="F:Microsoft.ML.Data.DefaultColumnNames.Probability"/> column.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1.Create(Microsoft.ML.Runtime.IHostEnvironment,`0,System.String)">
-            <summary>
-            Implemented by deriving classes that create a concrete calibrator.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.CalibratorTransformer`1">
-            <summary>
-            An instance of this class is the result of calling <see cref="M:Microsoft.ML.Calibrators.CalibratorEstimatorBase`1.Fit(Microsoft.ML.IDataView)"/>.
-            If you pass a scored data, to the <see cref="T:Microsoft.ML.Calibrators.CalibratorTransformer`1"/> Transform method, it will add the Probability column
-            to the dataset. The Probability column is the value of the Score normalized to be a valid probability.
-            The <see cref="T:Microsoft.ML.Calibrators.CalibratorTransformer`1"/> is an instance of <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/>
-            where score can be viewed as a feature while probability is treated as the label.
-            </summary>
-            <typeparam name="TICalibrator">The <see cref="T:Microsoft.ML.Calibrators.ICalibrator"/> used to transform the data.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.PlattCalibratorEstimator">
-            <summary>
-            The Platt calibrator estimator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.PlattCalibratorEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorEstimator"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-             /// <param name="labelColumnName">The name of the label column.This is consumed both when this estimator
-            is fit and when the estimator is consumed.</param>
-            <param name="scoreColumnName">The name of the score column.This is consumed when this estimator is fit,
-            but not consumed by the resulting transformer.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional). Note that if specified this is
-            consumed when this estimator is fit, but not consumed by the resulting transformer.</param>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.FixedPlattCalibratorEstimator">
-            <summary>
-            Obtains the probability values by applying the sigmoid:  f(x) = 1 / (1 + exp(-slope * x + offset).
-            Note that unlike, say, <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorEstimator"/>, the fit function here is trivial
-            and just "fits" a calibrator with the provided parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.FixedPlattCalibratorEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Double,System.Double,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.FixedPlattCalibratorEstimator"/>.
-            </summary>
-            <remarks>
-            Note that unlike many other calibrator estimators this one has the parameters pre-specified.
-            This means that it does not have a label or weight column specified as an input during training.
-            </remarks>
-            <param name="env">The environment to use.</param>
-            <param name="slope">The slope in the function of the exponent of the sigmoid.</param>
-            <param name="offset">The offset in the function of the exponent of the sigmoid.</param>
-            <param name="scoreColumn">The score column name. This is consumed both when this estimator
-            is fit and when the estimator is consumed.</param>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.PlattCalibratorTransformer">
-            <summary>
-            The <see cref="T:Microsoft.ML.ITransformer"/> implementation obtained by training a <see cref="T:Microsoft.ML.Calibrators.FixedPlattCalibratorEstimator"/> or a <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.NaiveCalibratorEstimator">
-            <summary>
-            The naive binning-based calibrator estimator.
-            </summary>
-            <remarks>
-            It divides the range of the outputs into equally sized bins. In each bin,
-            the probability of belonging to class 1, is the number of class 1 instances in the bin, divided by the total number
-            of instances in the bin.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.NaiveCalibratorEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.NaiveCalibratorEstimator"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The label column name. This is consumed when this estimator is fit,
-            but not consumed by the resulting transformer.</param>
-            <param name="scoreColumn">The score column name. This is consumed both when this estimator
-            is fit and when the estimator is consumed.</param>
-            <param name="weightColumn">The optional weight column name. Note that if specified this is
-            consumed when this estimator is fit, but not consumed by the resulting transformer.</param>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.NaiveCalibratorTransformer">
-            <summary>
-            The <see cref="T:Microsoft.ML.ITransformer"/> implementation obtained by training a <see cref="T:Microsoft.ML.Calibrators.NaiveCalibratorEstimator"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.IsotonicCalibratorEstimator">
-            <summary>
-            The isotonic calbrated estimator.
-            </summary>
-            <remarks>
-            Calibrator finds a stepwise constant function (using the Pool Adjacent Violators Algorithm aka PAV) that minimizes the squared error.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Calibrators.IsotonicCalibratorEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Calibrators.IsotonicCalibratorEstimator"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The label column name. This is consumed when this estimator is fit,
-            but not consumed by the resulting transformer.</param>
-            <param name="scoreColumn">The score column name. This is consumed both when this estimator
-            is fit and when the estimator is consumed.</param>
-            <param name="weightColumn">The optional weight column name. Note that if specified this is
-            consumed when this estimator is fit, but not consumed by the resulting transformer.</param>
-        </member>
-        <member name="T:Microsoft.ML.Calibrators.IsotonicCalibratorTransformer">
-            <summary>
-            The <see cref="T:Microsoft.ML.ITransformer"/> implementation obtained by training a <see cref="T:Microsoft.ML.Calibrators.IsotonicCalibratorEstimator"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.IPredictionTransformer`1">
-            <summary>
-            An interface for all the transformer that can transform data based on the <see cref="T:Microsoft.ML.IPredictor"/> field.
-            The implementations of this interface either have no feature column, or have more than one feature column, and cannot implement the
-            <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/>, which most of the ML.Net tranformer implement.
-            </summary>
-            <typeparam name="TModel">The <see cref="T:Microsoft.ML.IPredictor"/> or <see cref="T:Microsoft.ML.Calibrators.ICalibrator"/> used for the data transformation.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1">
-            <summary>
-            An ISingleFeaturePredictionTransformer contains the name of the <see cref="P:Microsoft.ML.ISingleFeaturePredictionTransformer`1.FeatureColumnName"/>
-            and its type, <see cref="P:Microsoft.ML.ISingleFeaturePredictionTransformer`1.FeatureColumnType"/>. Implementations of this interface, have the ability
-            to score the data of an input <see cref="T:Microsoft.ML.IDataView"/> through the <see cref="M:Microsoft.ML.ITransformer.Transform(Microsoft.ML.IDataView)"/>
-            </summary>
-            <typeparam name="TModel">The <see cref="T:Microsoft.ML.IPredictor"/> or <see cref="T:Microsoft.ML.Calibrators.ICalibrator"/> used for the data transformation.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.ISingleFeaturePredictionTransformer`1.FeatureColumnName">
-            <summary>The name of the feature column.</summary>
-        </member>
-        <member name="P:Microsoft.ML.ISingleFeaturePredictionTransformer`1.FeatureColumnType">
-            <summary>Holds information about the type of the feature column.</summary>
-        </member>
-        <member name="T:Microsoft.ML.ISingleFeaturePredictionTransformer">
-            <summary>
-            An ISingleFeaturePredictionTransformer contains the name of the <see cref="P:Microsoft.ML.ISingleFeaturePredictionTransformer.FeatureColumnName"/>.
-            Implementations of this interface, have the ability to score the data of an input <see cref="T:Microsoft.ML.IDataView"/>
-            through the <see cref="M:Microsoft.ML.ITransformer.Transform(Microsoft.ML.IDataView)"/>
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ISingleFeaturePredictionTransformer.FeatureColumnName">
-            <summary>The name of the feature column.</summary>
-        </member>
-        <member name="T:Microsoft.ML.PipeEngine`1">
-            <summary>
-            Utility class to run the pipeline to completion and produce a strongly-typed IEnumerable as a result.
-            Doesn't allocate memory for every row: instead, yields the same row object on every step.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.PredictionEngine`2">
-             <summary>
-             Class for making single predictions on a previously trained model (and preceding transform pipeline).
-             </summary>
-             <remarks>
-             This class can also be used with trained pipelines that do not end with a predictor: in this case, the
-             'prediction' will be just the outcome of all the transformations.
-            
-             The PredictionEngine is NOT thread safe. Using it in a threaded environment can cause unexpected issues.
-             </remarks>
-        </member>
-        <member name="M:Microsoft.ML.PredictionEngine`2.Predict(`0,`1@)">
-            <summary>
-            Run prediction pipeline on one example.
-            </summary>
-            <param name="example">The example to run on.</param>
-            <param name="prediction">The object to store the prediction in. If it's <c>null</c>, a new one will be created, otherwise the old one
-            is reused.</param>
-        </member>
-        <member name="T:Microsoft.ML.PredictionEngineBase`2">
-            <summary>
-            Base class for making single predictions on a previously trained model (and the preceding transform pipeline).
-            </summary>
-            <typeparam name="TSrc">The user-defined type that holds the example.</typeparam>
-            <typeparam name="TDst">The user-defined type that holds the prediction.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.PredictionEngineBase`2.OutputSchema">
-            <summary>
-            Provides output schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.PredictionEngineBase`2.Predict(`0)">
-            <summary>
-            Run prediction pipeline on one example.
-            </summary>
-            <param name="example">The example to run on.</param>
-            <returns>The result of prediction. A new object is created for every call.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PredictionEngineBase`2.Predict(`0,`1@)">
-            <summary>
-            Run prediction pipeline on one example.
-            </summary>
-            <param name="example">The example to run on.</param>
-            <param name="prediction">The object to store the prediction in. If it's <c>null</c>, a new one will be created, otherwise the old one
-            is reused.</param>
-        </member>
-        <member name="T:Microsoft.ML.PredictionEngineOptions">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.PredictionEngine`2"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TrainCatalogBase">
-            <summary>
-            Base class for the trainer catalogs.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TrainCatalogBase.CrossValidationResult">
-            <summary>
-            Results for specific cross-validation fold.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult.Model">
-            <summary>
-            Model trained during cross validation fold.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult.Scores">
-            <summary>
-            Scored test set with <see cref="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult.Model"/> for this fold.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult.Fold">
-            <summary>
-            Fold number.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TrainCatalogBase.CrossValidationResult`1">
-            <summary>
-            Results of running cross-validation.
-            </summary>
-            <typeparam name="T">Type of metric class.</typeparam>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult`1.Metrics">
-            <summary>
-            Metrics for this cross-validation fold.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult`1.Model">
-            <summary>
-            Model trained during cross-validation fold.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult`1.ScoredHoldOutSet">
-            <summary>
-            The scored hold-out set for this fold.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.TrainCatalogBase.CrossValidationResult`1.Fold">
-            <summary>
-            Fold number.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TrainCatalogBase.CrossValidateTrain(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Train the <paramref name="estimator"/> on <paramref name="numFolds"/> folds of the data sequentially.
-            Return each model and each scored test dataset.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TrainCatalogBase.CatalogInstantiatorBase">
-            <summary>
-            Subclasses of <see cref="T:Microsoft.ML.TrainContext"/> will provide little "extension method" hookable objects
-            (for example, something like <see cref="P:Microsoft.ML.BinaryClassificationCatalog.Trainers"/>). User code will only
-            interact with these objects by invoking the extension methods. The actual component code can work
-            through <see cref="T:Microsoft.ML.Data.CatalogUtils"/> to get more "hidden" information from this object,
-            for example, the environment.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.BinaryClassificationCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of binary classification components,
-            such as trainers and calibrators.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.BinaryClassificationCatalog.Trainers">
-            <summary>
-            The list of trainers for performing binary classification.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of binary classification trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored binary classification data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <param name="probabilityColumnName">The name of the probability column in <paramref name="data"/>, the calibrated version of <paramref name="scoreColumnName"/>.</param>
-            <param name="predictedLabelColumnName">The name of the predicted label column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.EvaluateNonCalibrated(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored binary classification data, without probability-based metrics.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabelColumnName">The name of the predicted label column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these uncalibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.CrossValidateNonCalibrated(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Run cross-validation over <paramref name="numberOfFolds"/> folds of <paramref name="data"/>, by fitting <paramref name="estimator"/>,
-            and respecting <paramref name="samplingKeyColumnName"/> if provided.
-            Then evaluate each sub-model against <paramref name="labelColumnName"/> and return a <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics"/> object, which
-            do not include probability-based metrics, for each sub-model. Each sub-model is evaluated on the cross-validation fold that it did not see during training.
-            </summary>
-            <param name="data">The data to run cross-validation on.</param>
-            <param name="estimator">The estimator to fit.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="labelColumnName">The label column (for evaluation).</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for cross-validation folds.</param>
-            <returns>Per-fold results: metrics, models, scored datasets.</returns>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.CrossValidate(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Run cross-validation over <paramref name="numberOfFolds"/> folds of <paramref name="data"/>, by fitting <paramref name="estimator"/>,
-            and respecting <paramref name="samplingKeyColumnName"/> if provided.
-            Then evaluate each sub-model against <paramref name="labelColumnName"/> and return a <see cref="T:Microsoft.ML.Data.CalibratedBinaryClassificationMetrics"/> object, which
-            includes probability-based metrics, for each sub-model. Each sub-model is evaluated on the cross-validation fold that it did not see during training.
-            </summary>
-            <param name="data">The data to run cross-validation on.</param>
-            <param name="estimator">The estimator to fit.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="labelColumnName">The label column (for evaluation).</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for cross-validation folds.</param>
-            <returns>Per-fold results: metrics, models, scored datasets.</returns>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.ChangeModelThreshold``1(Microsoft.ML.Data.BinaryPredictionTransformer{``0},System.Single)">
-            <summary>
-            Method to modify the threshold to existing model and return modified model.
-            </summary>
-            <typeparam name="TModel">The type of the model parameters.</typeparam>
-            <param name="model">Existing model to modify threshold.</param>
-            <param name="threshold">New threshold.</param>
-            <returns>New model with modified threshold.</returns>
-        </member>
-        <member name="P:Microsoft.ML.BinaryClassificationCatalog.Calibrators">
-            <summary>
-            The list of calibrators for performing binary classification.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.BinaryClassificationCatalog.CalibratorsCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of binary classification calibrators.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.CalibratorsCatalog.Naive(System.String,System.String)">
-            <summary>
-            Adds probability column by training naive binning-based calibrator.
-            </summary>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="scoreColumnName">The name of the score column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NaiveCalibrator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Calibrators/Naive.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.CalibratorsCatalog.Platt(System.String,System.String,System.String)">
-            <summary>
-            Adds probability column by training <a href="https://en.wikipedia.org/wiki/Platt_scaling">platt calibrator</a>.
-            </summary>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="scoreColumnName">The name of the score column.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PlattCalibrator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Calibrators/Platt.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.CalibratorsCatalog.Platt(System.Double,System.Double,System.String)">
-            <summary>
-            Adds probability column by specifying <a href="https://en.wikipedia.org/wiki/Platt_scaling">platt calibrator</a>.
-            </summary>
-            <param name="slope">The slope in the function of the exponent of the sigmoid.</param>
-            <param name="offset">The offset in the function of the exponent of the sigmoid.</param>
-            <param name="scoreColumnName">The name of the score column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FixedPlattCalibrator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Calibrators/FixedPlatt.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.BinaryClassificationCatalog.CalibratorsCatalog.Isotonic(System.String,System.String,System.String)">
-            <summary>
-            Adds probability column by training pair adjacent violators calibrator.
-            </summary>
-            <remarks>
-             The calibrator finds a stepwise constant function (using the Pool Adjacent Violators Algorithm aka PAV) that minimizes the squared error.
-             Also know as <a href="https://en.wikipedia.org/wiki/Isotonic_regression">Isotonic regression</a>
-            </remarks>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="scoreColumnName">The name of the score column.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PairAdjacentViolators](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/Calibrators/Isotonic.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.ClusteringCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of clustering components,
-            such as trainers.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ClusteringCatalog.Trainers">
-            <summary>
-            The list of trainers for performing clustering.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ClusteringCatalog.#ctor(Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            The clustering context.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ClusteringCatalog.ClusteringTrainers">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of clustering trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ClusteringCatalog.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored clustering data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <param name="labelColumnName">The name of the optional label column in <paramref name="data"/>.
-            If present, the <see cref="P:Microsoft.ML.Data.ClusteringMetrics.NormalizedMutualInformation"/> metric will be computed.</param>
-            <param name="featureColumnName">The name of the optional features column in <paramref name="data"/>.
-            If present, the <see cref="P:Microsoft.ML.Data.ClusteringMetrics.DaviesBouldinIndex"/> metric will be computed.</param>
-            <returns>The evaluation result.</returns>
-        </member>
-        <member name="M:Microsoft.ML.ClusteringCatalog.CrossValidate(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Run cross-validation over <paramref name="numberOfFolds"/> folds of <paramref name="data"/>, by fitting <paramref name="estimator"/>,
-            and respecting <paramref name="samplingKeyColumnName"/> if provided.
-            Then evaluate each sub-model against <paramref name="labelColumnName"/> and return metrics.
-            </summary>
-            <param name="data">The data to run cross-validation on.</param>
-            <param name="estimator">The estimator to fit.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="labelColumnName">Optional label column for evaluation (clustering tasks may not always have a label).</param>
-            <param name="featuresColumnName">Optional features column for evaluation (needed for calculating Dbi metric)</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for cross-validation folds.</param>
-        </member>
-        <member name="T:Microsoft.ML.MulticlassClassificationCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of multiclass classification components,
-            such as trainers.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.MulticlassClassificationCatalog.Trainers">
-            <summary>
-            The list of trainers for performing multiclass classification.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of multiclass classification trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.MulticlassClassificationCatalog.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String,System.Int32)">
-            <summary>
-            Evaluates scored multiclass classification data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabelColumnName">The name of the predicted label column in <paramref name="data"/>.</param>
-            <param name="topKPredictionCount">If given a positive value, the <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy"/> will be filled with
-            the top-K accuracy, that is, the accuracy assuming we consider an example with the correct class within
-            the top-K values as being stored "correctly."</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.MulticlassClassificationCatalog.CrossValidate(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Run cross-validation over <paramref name="numberOfFolds"/> folds of <paramref name="data"/>, by fitting <paramref name="estimator"/>,
-            and respecting <paramref name="samplingKeyColumnName"/> if provided.
-            Then evaluate each sub-model against <paramref name="labelColumnName"/> and return metrics.
-            </summary>
-            <param name="data">The data to run cross-validation on.</param>
-            <param name="estimator">The estimator to fit.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="labelColumnName">The label column (for evaluation).</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for cross-validation folds.</param>
-            <returns>Per-fold results: metrics, models, scored datasets.</returns>
-            <returns>Per-fold results: metrics, models, scored datasets.</returns>
-        </member>
-        <member name="T:Microsoft.ML.RegressionCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of regression components,
-            such as trainers and evaluators.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.RegressionCatalog.Trainers">
-            <summary>
-            The list of trainers for performing regression.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.RegressionCatalog.RegressionTrainers">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of regression trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.RegressionCatalog.Evaluate(Microsoft.ML.IDataView,System.String,System.String)">
-            <summary>
-            Evaluates scored regression data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.RegressionCatalog.CrossValidate(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Run cross-validation over <paramref name="numberOfFolds"/> folds of <paramref name="data"/>, by fitting <paramref name="estimator"/>,
-            and respecting <paramref name="samplingKeyColumnName"/> if provided.
-            Then evaluate each sub-model against <paramref name="labelColumnName"/> and return metrics.
-            </summary>
-            <param name="data">The data to run cross-validation on.</param>
-            <param name="estimator">The estimator to fit.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="labelColumnName">The label column (for evaluation).</param>
-            <param name="samplingKeyColumnName">Name of a column to use for grouping rows. If two examples share the same value of the <paramref name="samplingKeyColumnName"/>,
-            they are guaranteed to appear in the same subset (train or test). This can be used to ensure no label leakage from the train to the test set.
-            If <see langword="null"/> no row grouping will be performed.</param>
-            <param name="seed">Seed for the random number generator used to select rows for cross-validation folds.</param>
-            <returns>Per-fold results: metrics, models, scored datasets.</returns>
-        </member>
-        <member name="T:Microsoft.ML.RankingCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of ranking components,
-            such as trainers and evaluators.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.RankingCatalog.Trainers">
-            <summary>
-            The list of trainers for performing regression.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.RankingCatalog.RankingTrainers">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of ranking trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.RankingCatalog.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored ranking data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="rowGroupColumnName">The name of the groupId column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.RankingCatalog.Evaluate(Microsoft.ML.IDataView,Microsoft.ML.Data.RankingEvaluatorOptions,System.String,System.String,System.String)">
-            <summary>
-            Evaluates scored ranking data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="options">Options to control the evaluation result.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="rowGroupColumnName">The name of the groupId column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <returns>The evaluation results for these calibrated outputs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.RankingCatalog.CrossValidate(Microsoft.ML.IDataView,Microsoft.ML.IEstimator{Microsoft.ML.ITransformer},System.Int32,System.String,System.String,System.Nullable{System.Int32})">
-            <summary>
-            Run cross-validation over <paramref name="numberOfFolds"/> folds of <paramref name="data"/>, by fitting <paramref name="estimator"/>,
-            and respecting <paramref name="rowGroupColumnName"/>if provided.
-            Then evaluate each sub-model against <paramref name="labelColumnName"/> and return metrics.
-            </summary>
-            <param name="data">The data to run cross-validation on.</param>
-            <param name="estimator">The estimator to fit.</param>
-            <param name="numberOfFolds">Number of cross-validation folds.</param>
-            <param name="labelColumnName">The label column (for evaluation).</param>
-            <param name="rowGroupColumnName">The name of the groupId column in <paramref name="data"/>, which is used to group rows.
-            This column will automatically be used as SamplingKeyColumn when splitting the data for Cross Validation,
-            as this is required by the ranking algorithms
-            If <see langword="null"/> no row grouping will be performed. </param>
-            <param name="seed">  Seed for the random number generator used to select rows for cross-validation folds.</param>
-            <returns>Per-fold results: metrics, models, scored datasets.</returns>
-        </member>
-        <member name="T:Microsoft.ML.AnomalyDetectionCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of anomaly detection components,
-            such as trainers and evaluators.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.AnomalyDetectionCatalog.Trainers">
-            <summary>
-            The list of trainers for anomaly detection.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of anomaly detection trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.AnomalyDetectionCatalog.Evaluate(Microsoft.ML.IDataView,System.String,System.String,System.String,System.Int32)">
-            <summary>
-            Evaluates scored anomaly detection data.
-            </summary>
-            <param name="data">The scored data.</param>
-            <param name="labelColumnName">The name of the label column in <paramref name="data"/>.</param>
-            <param name="scoreColumnName">The name of the score column in <paramref name="data"/>.</param>
-            <param name="predictedLabelColumnName">The name of the predicted label column in <paramref name="data"/>.</param>
-            <param name="falsePositiveCount">The number of false positives to compute the <see cref="P:Microsoft.ML.Data.AnomalyDetectionMetrics.DetectionRateAtFalsePositiveCount"/> metric. </param>
-            <returns>Evaluation results.</returns>
-        </member>
-        <member name="M:Microsoft.ML.AnomalyDetectionCatalog.ChangeModelThreshold``1(Microsoft.ML.Data.AnomalyPredictionTransformer{``0},System.Single)">
-            <summary>
-            Creates a new <see cref="T:Microsoft.ML.Data.AnomalyPredictionTransformer`1"/> with the specified <paramref name="threshold"/>.
-            If the provided <paramref name="threshold"/> is the same as the <paramref name="model"/> threshold it simply returns <paramref name="model"/>.
-            Note that by default the threshold is 0.5 and valid scores range from 0 to 1.
-            </summary>
-            <param name="model">A trained <see cref="T:Microsoft.ML.Data.AnomalyPredictionTransformer`1"/>.</param>
-            <param name="threshold">The new threshold value that will be used to determine the label of a data point
-            based on the predicted score by the model.</param>
-        </member>
-        <member name="T:Microsoft.ML.ForecastingCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of forecasting components.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.ForecastingCatalog.Trainers">
-            <summary>
-            The list of trainers for performing forecasting.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ForecastingCatalog.Forecasters">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of forecasting trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.BootstrapSamplingTransformer">
-            <summary>
-            This class approximates bootstrap sampling of a dataview.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BootstrapSamplingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Boolean,System.Nullable{System.UInt32},System.Boolean,System.Int32)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.BootstrapSamplingTransformer"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="complement">Whether this is the out-of-bag sample, that is, all those rows that are not selected by the transform.</param>
-            <param name="seed">The random seed. If unspecified random state will be instead derived from the environment.</param>
-            <param name="shuffleInput">Whether we should attempt to shuffle the source data. By default on, but can be turned off for efficiency.</param>
-            <param name="poolSize">When shuffling the output, the number of output rows to keep in that pool. Note that shuffling of output is completely distinct from shuffling of input.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BootstrapSamplingTransformer.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BootstrapSamplingTransformer.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.BootstrapSample">
-            <summary>
-            Entry point methods for bootstrap sampling.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ColumnConcatenatingEstimator">
-             <summary>
-             Concatenates one or more input columns into a new output column.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Any, except [key](xref:Microsoft.ML.Data.KeyDataViewType) type. All input columns must have the same type.  |
-             | Output column data type | A vector of the input columns' data type |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Data.ColumnConcatenatingTransformer> creates a new column,
-             named as specified in the output column name parameters, where the input values are concatenated in a vector.
-             The order of the concatenation follows the order in which the input columns are specified.
-            
-             If the input columns' data type is a vector the output column data type remains the same. However, the size of
-             the vector will be the sum of the sizes of the input vectors.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TransformExtensionsCatalog.Concatenate(Microsoft.ML.TransformsCatalog,System.String,System.String[])"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnConcatenatingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.ColumnConcatenatingEstimator"/>
-            </summary>
-            <param name="env">The local instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="outputColumnName">The name of the resulting column.</param>
-            <param name="inputColumnNames">The columns to concatenate into one single column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnConcatenatingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Data.ColumnConcatenatingTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnConcatenatingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ColumnCopyingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.ColumnCopyingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Any |
-             | Output column data type | The same as the data type in the input column |
-             | Exportable to ONNX | Yes |
-            
-             The resulting [ColumnCopyingTransformer](xref:Microsoft.ML.Transforms.ColumnCopyingTransformer) creates a new column, named as specified in the output column name parameters, and
-             copies the data from the input column to this new column.
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TransformExtensionsCatalog.CopyColumns(Microsoft.ML.TransformsCatalog,System.String,System.String)" />
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnCopyingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ColumnCopyingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.ColumnCopyingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.ColumnCopyingTransformer.Columns">
-            <summary>
-            Names of output and input column pairs on which the transformation is applied.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ColumnSelectingEstimator">
-             <summary>
-             Keeps or drops selected columns from an <see cref="T:Microsoft.ML.IDataView"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input columns data type | Any |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.ColumnSelectingTransformer>
-             operates on the schema of a given <xref:Microsoft.ML.IDataView> by dropping or keeping selected columns from the schema.
-            
-             It is commonly used to remove unwanted columns before serializing a dataset or writing it to a file.
-             It is not necessary to drop unused columns before training or performing transforms,
-             as the <xref:Microsoft.ML.IDataView> is lazily evaluated and will not actually materialize the columns until needed.
-             In the case of serialization, every column in the schema will be written out. If there are columns
-             that should not be saved, this estimator can be used to remove them.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TransformExtensionsCatalog.DropColumns(Microsoft.ML.TransformsCatalog,System.String[])"/>
-             <seealso cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[])"/>
-             <seealso cref="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[],System.Boolean)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String[])">
-            <summary>
-            Constructs the Select Columns Estimator.
-            </summary>
-            <param name="env">Instance of the host environment.</param>
-            <param name="keepColumns">The array of column names to keep.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String[],System.String[],System.Boolean,System.Boolean)">
-            <summary>
-            Constructs the Select Columns Estimator.
-            </summary>
-            <param name="env">Instance of the host environment.</param>
-            <param name="keepColumns">The array of column names to keep, cannot be set with <paramref name="dropColumns"/>.</param>
-            <param name="dropColumns">The array of column names to drop, cannot be set with <paramref name="keepColumns"/>.</param>
-            <param name="keepHidden">If true will keep hidden columns and false will remove hidden columns. The argument is
-            ignored if the Estimator is in "drop mode".</param>
-            <param name="ignoreMissing">If false will check for any columns given in <paramref name="keepColumns"/>
-                or <paramref name="dropColumns"/> that are missing from the input. If a missing column exists a
-                SchemaMistmatch exception is thrown. If true, the check is not made.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingEstimator.KeepColumns(Microsoft.ML.Runtime.IHostEnvironment,System.String[])">
-            <summary>
-            KeepColumns is used to select a list of columns that the user wants to keep on a given an input. Any column not specified
-            will be dropped from the output output schema.
-            </summary>
-            <param name="env">Instance of the host environment.</param>
-            <param name="columnsToKeep">The array of column names to keep.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingEstimator.DropColumns(Microsoft.ML.Runtime.IHostEnvironment,System.String[])">
-            <summary>
-            DropColumns is used to select a list of columns that user wants to drop from a given input. Any column not specified will
-            be maintained in the output schema.
-            </summary>
-            <param name="env">Instance of the host environment.</param>
-            <param name="columnsToDrop">The array of column names to drop.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ColumnSelectingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.ColumnSelectingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.CheckModelVersion(Microsoft.ML.ModelLoadContext,Microsoft.ML.VersionInfo)">
-            <summary>
-            Helper function to determine the model version that is being loaded.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.LoadDropColumnsTransform(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Back-compatibility function that handles loading the DropColumns Transform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ColumnSelectingTransformer.HiddenColumnOption">
-            <summary>
-            Back-compatibility that is handling the HiddenColumnOption from ChooseColumns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.GetHiddenOption(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.ColumnSelectingTransformer.HiddenColumnOption)">
-            <summary>
-            Backwards compatibility helper function to convert the HiddenColumnOption to a boolean.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.LoadChooseColumnsTransform(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Backwards compatibility helper function that loads a Choose Column Transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Schema propagation for transformers.
-            Returns the output schema of the data, if the input schema is like the one provided.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.Microsoft#ML#ITransformer#GetRowToRowMapper(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Constructs a row-to-row mapper based on an input schema. If <see cref="P:Microsoft.ML.ITransformer.IsRowToRowMapper"/>
-            is <c>false</c>, then an exception is thrown. If the input schema is in any way
-            unsuitable for constructing the mapper, an exception should likewise be thrown.
-            </summary>
-            <param name="inputSchema">The input schema for which we should get the mapper.</param>
-            <returns>The row to row mapper.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.Transform(Microsoft.ML.IDataView)">
-            <summary>
-            Take the data in, make transformations, output the data.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual transformations happen here, just schema validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.RowImpl.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.RowImpl.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.SelectColumnsDataTransform.Microsoft#ML#Data#IRowToRowMapper#GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ColumnSelectingTransformer.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.FeatureContributionCalculatingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FeatureContributionCalculatingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.ICalculateFeatureContribution,System.String,System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Feature Contribution Calculation computes model-specific contribution scores for each feature.
-            Note that this functionality is not supported by all the models. See <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingTransformer"/> for a list of the sported models.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="modelParameters">Trained model parameters that support Feature Contribution Calculation and which will be used for scoring.</param>
-            <param name="featureColumnName">The name of the feature column that will be used as input.</param>
-            <param name="numberOfPositiveContributions">The number of positive contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with positive contributions than <paramref name="numberOfPositiveContributions"/>, the rest will be returned as zeros.</param>
-            <param name="numberOfNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with negative contributions than <paramref name="numberOfNegativeContributions"/>, the rest will be returned as zeros.</param>
-            <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.FeatureContributionCalculatingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingTransformer"/>. Computes model-specific per-feature contributions to the score of each input vector.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Known-sized vector of <xref:System.Single> |
-             | Output column data type | Known-sized vector of <xref:System.Single> |
-             | Exportable to ONNX | No |
-            
-             Scoring a dataset with a trained model produces a score, or prediction, for each example. To understand and explain these predictions
-             it can be useful to inspect which features influenced them most significantly. This transformer computes a model-specific
-             list of per-feature contributions to the score for each example. These contributions can be positive (they make the score higher) or negative
-             (they make the score lower).
-            
-             Feature Contribution Calculation is currently supported for the following models:
-             - Regression:
-               - <xref:Microsoft.ML.Trainers.OlsTrainer>
-               - <xref:Microsoft.ML.Trainers.SdcaRegressionTrainer>
-               - <xref:Microsoft.ML.Trainers.OnlineGradientDescentTrainer>
-               - <xref:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.GamRegressionTrainer>
-               - <xref:Microsoft.ML.Trainers.LightGbm.LightGbmRegressionTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.FastTreeRegressionTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.FastForestRegressionTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.FastTreeTweedieTrainer>
-             - Binary Classification:
-               - <xref:Microsoft.ML.Trainers.AveragedPerceptronTrainer>
-               - <xref:Microsoft.ML.Trainers.LinearSvmTrainer>
-               - <xref:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.SgdCalibratedTrainer>
-               - <xref:Microsoft.ML.Trainers.SgdNonCalibratedTrainer>
-               - <xref:Microsoft.ML.Trainers.SymbolicSgdLogisticRegressionBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.GamBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.FastForestBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer>
-               - <xref:Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer>
-             - Ranking:
-               - <xref:Microsoft.ML.Trainers.FastTree.FastTreeRankingTrainer>
-               - <xref:Microsoft.ML.Trainers.LightGbm.LightGbmRankingTrainer>
-            
-             For linear models, the contribution of a given feature is equal to the product of feature value times the corresponding weight. Similarly,
-             for Generalized Additive Models (GAM), the contribution of a feature is equal to the shape function for the given feature evaluated at
-             the feature value.
-            
-             For tree-based models, the calculation of feature contribution essentially consists in determining which splits in the tree have the most impact
-             on the final score and assigning the value of the impact to the features determining the split. More precisely, the contribution of a feature
-             is equal to the change in score produced by exploring the opposite sub-tree every time a decision node for the given feature is encountered.
-             Consider a simple case with a single decision tree that has a decision node for the binary feature F1. Given an example that has feature F1
-             equal to true, we can calculate the score it would have obtained if we chose the subtree corresponding to the feature F1 being equal to false
-             while keeping the other features constant. The contribution of feature F1 for the given example is the difference between the original score
-             and the score obtained by taking the opposite decision at the node corresponding to feature F1. This algorithm extends naturally to models with
-             many decision trees.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Trainers.ICalculateFeatureContribution},System.Int32,System.Int32,System.Boolean)"/>
-             <seealso cref="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution``2(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.CalibratedModelParametersBase{``0,``1}},System.Int32,System.Int32,System.Boolean)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FeatureContributionCalculatingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.ICalculateFeatureContribution,System.Int32,System.Int32,System.String,System.Boolean)">
-            <summary>
-            Feature Contribution Calculation computes model-specific contribution scores for each feature.
-            Note that this functionality is not supported by all the models. See <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingTransformer"/> for a list of the sported models.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="model">A <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> that supports Feature Contribution Calculation,
-            and which will also be used for scoring.</param>
-            <param name="numberOfPositiveContributions">The number of positive contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with positive contributions than <paramref name="numberOfPositiveContributions"/>, the rest will be returned as zeros.</param>
-            <param name="numberOfNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with negative contributions than <paramref name="numberOfNegativeContributions"/>, the rest will be returned as zeros.</param>
-            <param name="featureColumnName">TODO</param>
-            <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FeatureContributionCalculatingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GenerateNumberTransform">
-            <summary>
-            This transform adds columns containing either random numbers distributed
-            uniformly between 0 and 1 or an auto-incremented integer starting at zero.
-            It will be used in conjunction with a filter transform to create random
-            partitions of the data, used in cross validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GenerateNumberTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.Nullable{System.UInt32},System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.GenerateNumberTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="name">Name of the output column.</param>
-            <param name="seed">Seed to start random number generator.</param>
-            <param name="useCounter">Use an auto-incremented integer starting at zero instead of a random number.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GenerateNumberTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.GenerateNumberTransform.Options,Microsoft.ML.IDataView)">
-            <summary>
-            Public constructor corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GenerateNumberTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GenerateNumberTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.HashingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.HashingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])">
-            <summary>
-            Constructor for case where you don't need to 'train' transform on data, for example, InvertHash for all columns set to zero.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="columns">Description of dataset columns and how to process them.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.HashingTransformer.IHasher`1">
-             <summary>
-             The usage of this interface may seem a bit strange, but it is deliberately structured in this way.
-             One will note all implementors of this interface are structs, and that where used, you never use
-             the interface itself, but instead an implementing type. This is due to how .NET and the JIT handles
-             generic types that are also value types. For value types, it will actually generate new assembly
-             code, which will allow effectively code generation in a way that would not happen if the hasher
-             implementor was a class, or if the hasher implementation was just passed in with a delegate, or
-             the hashing logic was encapsulated as the abstract method of some class.
-            
-             In a prior time, there were methods for all possible combinations of types, scalar-ness, vector
-             sparsity/density, whether the hash was sparsity preserving or not, whether it was ordered or not.
-             This resulted in an explosion of methods that made the hash transform code somewhat hard to maintain.
-             On the other hand, the methods were fast, since they were effectively (by brute enumeration) completely
-             inlined, so introducing any levels of abstraction would slow things down. By doing things in this
-             fashion using generics over struct types, we are effectively (via the JIT) doing code generation so
-             things are inlined and just as fast as the explicit implementation, while making the code rather
-             easier to maintain.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingTransformer.InvertHashHelper.Create(Microsoft.ML.DataViewRow,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions,System.Int32,System.Delegate)">
-            <summary>
-            Constructs an <see cref="T:Microsoft.ML.Transforms.HashingTransformer.InvertHashHelper"/> instance to accumulate hash/value pairs
-            from a single column as parameterized by this transform, with values fetched from
-            the row.
-            </summary>
-            <param name="row">The input source row, from which the hashed values can be fetched</param>
-            <param name="ex">The extra column info</param>
-            <param name="invertHashMaxCount">The number of input hashed valuPres to accumulate per output hash value</param>
-            <param name="dstGetter">A hash getter, built on top of <paramref name="row"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingTransformer.InvertHashHelper.Process">
-            <summary>
-            This calculates the hash/value pair from the current value of the column, and does
-            appropriate processing of them to build the invert hash map.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.HashingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.HashingTransformer"/>, which hashes either single valued columns or vector columns. For vector columns,
-             it hashes each slot separately.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes, if the mapping of the hashes to the values is required. |
-             | Input column data type | Vector or scalars of numeric, boolean, [text](xref:Microsoft.ML.Data.TextDataViewType), [DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Vector or scalar [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Exportable to ONNX | Yes - on estimators trained on v1.5 and up. <xref:System.Int64>, <xref:System.UInt64>, <xref:System.Single>, <xref:System.Double> and OrderedHashing are not supported. |
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,System.Int32)"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.Name">
-            <summary>
-            Name of the column resulting from the transformation of <see cref="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.InputColumnName">
-            <summary> Name of column to transform.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.NumberOfBits">
-            <summary> Number of bits to hash into. Must be between 1 and 31, inclusive.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.Seed">
-            <summary> Hashing seed.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.UseOrderedHashing">
-            <summary> Whether the position of each term should be included in the hash, only applies to inputs of vector type.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.MaximumNumberOfInverts">
-            <summary>
-            During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the key names of the annotations for the new column. Hashing, as such, can map many initial values to one.
-            <see cref="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.MaximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.Combine">
-            <summary>
-            Whether the slots of a vector column should be hashed into a single value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Int32,System.UInt32,System.Boolean,System.Int32,System.Boolean)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 31, inclusive.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each term should be included in the hash, only applies to inputs of vector type.</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the annotations for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="combine">Whether the slots of a vector column should be hashed into a single value.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.HashingEstimator"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform.
-            If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 31, inclusive.</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="useOrderedHashing">Whether the position of each term should be included in the hash, only applies to inputs of vector type.</param>
-            <param name="combine">Whether the slots of a vector column should be hashed into a single value.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.HashingEstimator"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="columns">Description of dataset columns and how to process them.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.HashingTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToValueMappingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.KeyToValueMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToValueMappingTransformer"/> that takes and transforms one column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToValueMappingTransformer"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.KeyToValueMappingTransformer.Options,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method for SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Factory method for SignatureLoadModel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method for SignatureLoadDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Factory method for SignatureLoadRowMapper.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Mapper.KeyToValueMap">
-            <summary>
-            A map is an object capable of creating the association from an input type, to an output
-            type. This mapping is constructed from key metadata, with the input type being the key type
-            and the output type being the type specified by the key metadata.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Mapper.KeyToValueMap.TypeOutput">
-            <summary>
-            The item type of the output type, that is, either the output type or,
-            if a vector, the item type of that type.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Mapper.KeyToValueMap.InfoIndex">
-            <summary>
-            The column index in Infos.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.KeyToValueMappingTransformer.Mapper.KeyToValueMap.Parent">
-            <summary>
-            The parent transform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToValueMappingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.KeyToValueMappingTransformer"/>. Converts the key types back to their original values.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Type of the original data, prior to converting to [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Exportable to ONNX | Yes |
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[])"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToValueMappingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToVectorMappingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.KeyToVectorMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToVectorMappingTransformer.Mapper.MakeGetterOne(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            This is for the singleton case. This should be equivalent to both Bag and Ord over
-            a vector of size one.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToVectorMappingTransformer.Mapper.MakeGetterBag(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            This is for the bagging case - vector input and outputs should be added.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToVectorMappingTransformer.Mapper.MakeGetterInd(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            This is for the indicator (non-bagging) case - vector input and outputs should be concatenated.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToVectorMappingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.KeyToVectorMappingTransformer"/>. Maps the value of a key
-             into a known-sized vector of <see cref="T:System.Single"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Scalar or known-size vector of [key](xref:Microsoft.Ml.Data.KeyDataViewType) type. |
-             | Output column data type | A known-size vector of [System.Single](xref:System.Single). |
-             | Exportable to ONNX | Yes |
-            
-             It iterates over keys in data, and for each key it produces vector of key cardinality filled with zeros except position of key value in which it put's `1.0`.
-             For vector of keys it can either produce vector of counts for each key or concatenate them together into one vector.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Boolean)"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Boolean)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToVectorMappingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.KeyToVectorMappingEstimator.ColumnOptions.Name">
-            <summary> Name of the column resulting from the transformation of <cref see="InputColumnName"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.KeyToVectorMappingEstimator.ColumnOptions.InputColumnName">
-            <summary> Name of column to transform.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.KeyToVectorMappingEstimator.ColumnOptions.OutputCountVector">
-            <summary>
-            Whether to combine multiple indicator vectors into a single vector of counts instead of concatenating them.
-            This is only relevant when the input column is a vector of keys.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToVectorMappingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Boolean)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="outputCountVector">Whether to combine multiple indicator vectors into a single vector of counts instead of concatenating them.
-            This is only relevant when the input column is a vector of keys.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToVectorMappingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LabelConvertTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.LabelConvertTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="outputColumnName">Name of the output column.</param>
-            <param name="inputColumnName">Name of the input column.  If this is null '<paramref name="outputColumnName"/>' will be used.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LabelConvertTransform.PassThrough(System.String,System.Int32)">
-            <summary>
-            Returns whether metadata of the indicated kind should be passed through from the source column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LabelIndicatorTransform">
-            <summary>
-            Remaps multiclass labels to binary T,F labels, primarily for use with OVA.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LabelIndicatorTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Int32,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.LabelIndicatorTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="classIndex">Label of the positive class.</param>
-            <param name="name">Name of the output column.</param>
-            <param name="source">Name of the input column.  If this is null '<paramref name="name"/>' will be used.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NAFilter">
-            <member name="NAFilter">
-      <summary>
-        Removes missing values from vector type columns.
-      </summary>
-      <remarks>
-        This transform removes the entire row if any of the input columns have a missing value in that row.
-        This preprocessing is required for many ML algorithms that cannot work with missing values.
-        Useful if any missing entry invalidates the entire row.
-        If the <see cref="P:Microsoft.ML.Transforms.MissingValuesRowDropper.Complement" /> is set to true, this transform would do the exact opposite,
-        it will keep only the rows that have missing values.
-      </remarks>
-    </member>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NAFilter.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Boolean,System.String[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NAFilter"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="complement">If true, keep only rows that contain NA values, and filter the rest.</param>
-            <param name="columns">Name of the columns. Only these columns will be used to filter rows having 'NA' values.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NAFilter.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NAFilter.Cursor.TryGetColumnValueGetter``1(System.Int32,Microsoft.ML.ValueGetter{``0}@)">
-            <summary>
-            Gets the appropriate column value getter for a mapped column. If the column
-            is not mapped, this returns false with the out parameters getting default values.
-            If the column is mapped but the TValue is of the wrong type, an exception is
-            thrown.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizeTransform">
-            <summary>
-            The normalize transform for support of normalization via the <see cref="T:Microsoft.ML.Data.IDataTransform"/> mechanism.
-            More contemporaneous API usage of normalization ought to use <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>
-            and <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer"/> rather than this structure.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizeTransform.CreateMinMaxNormalizer(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String)">
-            <summary>
-            A helper method to create a MinMax normalizer.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="outputColumnName">Name of the output column.</param>
-            <param name="inputColumnName">Name of the column to be transformed. If this is null '<paramref name="outputColumnName"/>' will be used.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizeTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.NormalizeTransform.MinMaxArguments,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizeTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.NormalizeTransform.LogMeanVarArguments,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizeTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.NormalizeTransform.BinArguments,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizeTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.NormalizeTransform.RobustScalingArguments,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MinMaxDblAggregator">
-            <summary>
-            Base class for tracking min and max values for a vector valued column.
-            It tracks min, max, number of non-sparse values (vCount) and number of ProcessValue() calls (trainCount).
-            NaNs are ignored when updating min and max.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MeanVarDblAggregator">
-            <summary>
-            Class for computing the mean and variance for a vector valued column.
-            It tracks the current mean and the M2 (sum of squared diffs of the values from the mean),
-            the number of NaNs and the number of non-zero elements.
-            Uses the algorithm described here: https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Online_algorithm
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MedianAggregatorUtils.GetMedianSoFar(System.Double@,System.Double@,Microsoft.ML.Transforms.MedianAggregatorUtils.MaxHeap{System.Double}@,Microsoft.ML.Transforms.MedianAggregatorUtils.MinHeap{System.Double}@)">
-            <summary>
-            Based on the algorithm on GeeksForGeeks https://www.geeksforgeeks.org/median-of-stream-of-integers-running-integers/.
-            </summary>
-            <param name="num">The new number to account for in our median calculation.</param>
-            <param name="median">The current median.</param>
-            <param name="belowMedianHeap">The MaxHeap that has all the numbers below the median.</param>
-            <param name="aboveMedianHeap">The MinHeap that has all the numbers above the median.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MedianAggregatorUtils.HeapBase`1">
-            <summary>
-            This heap class is based on the one done by Egor Grishechko, https://egorikas.com/max-and-min-heap-implementation-with-csharp/, which he based
-            on the implementation shown by HackerRank https://www.youtube.com/watch?v=t0Cq6tVNRBA. It is used for calculation the median in a much more
-            memory efficient way.
-            </summary>
-            <typeparam name="TType"></typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MedianAggregatorUtils.GetMedianSoFar(System.Single@,System.Single@,Microsoft.ML.Transforms.MedianAggregatorUtils.MaxHeap{System.Single}@,Microsoft.ML.Transforms.MedianAggregatorUtils.MinHeap{System.Single}@)">
-            <summary>
-            Based on the algorithm on GeeksForGeeks https://www.geeksforgeeks.org/median-of-stream-of-integers-running-integers/.
-            This heap approach uses much less memory and is faster then other approaches I could find, specifically list based ones.
-            </summary>
-            <param name="num">The new number to account for in our median calculation.</param>
-            <param name="median">The current median.</param>
-            <param name="belowMedianHeap">The MaxHeap that has all the numbers below the median.</param>
-            <param name="aboveMedianHeap">The MinHeap that has all the numbers above the median.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MedianDblAggregator">
-            <summary>
-            Base class for tracking median values for a single valued column.
-            It tracks median values of non-sparse values (vCount).
-            NaNs are ignored when updating min and max.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MinMaxSngAggregator">
-            <summary>
-            Base class for tracking min and max values for a vector valued column.
-            It tracks min, max, number of non-sparse values (vCount) and number of ProcessValue() calls (trainCount).
-            NaNs are ignored when updating min and max.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MeanVarSngAggregator">
-            <summary>
-            Class for computing the mean and variance for a vector valued column.
-            It tracks the current mean and the M2 (sum of squared diffs of the values from the mean),
-            the number of NaNs and the number of non-zero elements.
-            Uses the algorithm described here: https://en.wikipedia.org/wiki/Algorithms_for_calculating_variance#Online_algorithm
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MedianSngAggregator">
-            <summary>
-            Base class for tracking median values for a single valued column.
-            It tracks median values of non-sparse values (vCount).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | <xref:System.Single> or <xref:System.Double> or a known-sized vector of those types. |
-             | Output column data type | The same data type as the input column |
-             | Exportable to ONNX | Yes |
-            
-             The resulting NormalizingEstimator will normalize the data in one of the following ways based upon how it was created:
-             * Min Max - A linear rescale that is based upon the minimum and maximum values for each row.
-             * Mean Variance - Rescale each row to unit variance and, optionally, zero mean.
-             * Log Mean Variance - Rescale each row to unit variance, optionally, zero mean based on computations in log scale.
-             * Binning - Bucketizes the data in each row and performs a linear rescale based on the calculated bins.
-             * Supervised Binning - Bucketize the data in each row and performas a linear rescale based on the calculated bins. The bin calculation is based on correlation of the Label column.
-             * Robust Scaling - Optionally centers the data and scales based on the range of data and the quantile min and max values provided. This method is more robust to outliers.
-            
-             ### Estimator Details
-             The interval of the normalized data depends on whether fixZero is specified or not. fixZero defaults to true.
-             When fixZero is false, the normalized interval is $[0,1]$ and the distribution of the normalized values depends on the normalization mode. For example, with Min Max, the minimum
-             and maximum values are mapped to 0 and 1 respectively and remaining values fall in between.
-             When fixZero is set, the normalized interval is $[-1,1]$ with the distribution of the normalized values depending on the normalization mode, but the behavior is different.
-             With Min Max, the distribution depends on how far away the number is from 0, resulting in the number with the largest distance being mapped to 1 if its a positive number
-             or -1 if its a negative number. The distance from 0 will affect the distribution with a majority of numbers that are closer together normalizing towards 0. Robust Scaling
-             does not use fixZero, and its values are not constrained to $[0,1]$ or $[-1,1]$. Its scaling is based on the range of the data and the quantile min and max provided.
-            
-             The equation for the output $y$ of applying both Mean Variance and Log Mean Variance on input $x$ without
-             using the CDF option is: $y = (x - \text{offset}) \text{scale}$. Where offset and scale are computed during training.
-            
-             Using the CDF option it is: $y = 0.5 * (1 + \text{ERF}((x - \text{mean}) / (\text{standard deviation} * sqrt(2)))$.
-             Where ERF is the [Error Function](https://en.wikipedia.org/wiki/Error_function) used to approximate the CDF of a random variable assumed to
-             normally distributed. The mean and standard deviation are computing during training.
-            
-             To create this estimator use one of the following:
-             * [NormalizeMinMax](xref:Microsoft.ML.NormalizationCatalog.NormalizeMinMax(Microsoft.ML.TransformsCatalog, System.String, System.String, System.Int64, System.Boolean))
-             * [NormalizeMeanVariance](xref:Microsoft.ML.NormalizationCatalog.NormalizeMeanVariance(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean,System.Boolean))
-             * [NormalizeLogMeanVariance](xref:Microsoft.ML.NormalizationCatalog.NormalizeLogMeanVariance(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean))
-             * [NormalizeBinning](xref:Microsoft.ML.NormalizationCatalog.NormalizeBinning(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean,System.Int32))
-             * [NormalizeSupervisedBinning](xref:Microsoft.ML.NormalizationCatalog.NormalizeSupervisedBinning(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String,System.Int64,System.Boolean,System.Int32,System.Int32))
-             * [NormalizeRobustScaling](xref:Microsoft.ML.NormalizationCatalog.NormalizeRobustScaling(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean,System.UInt32,System.UInt32))
-            
-             Check the above links for usage examples.
-             ]]>
-             </format>
-             </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode.MinMax">
-            <summary>
-            Linear rescale such that minimum and maximum values are mapped between -1 and 1.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode.MeanVariance">
-            <summary>
-            Rescale to unit variance and, optionally, zero mean.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode.LogMeanVariance">
-            <summary>
-            Rescale to unit variance on the log scale.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode.Binning">
-            <summary>
-            Bucketize and then rescale to between -1 and 1.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode.SupervisedBinning">
-            <summary>
-            Bucketize and then rescale to between -1 and 1. Calculates bins based on correlation with the Label column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode.RobustScaling">
-            <summary>
-            Optionally centers the data around 0 and then scales based on the data range and the quantile min and max values provided.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform.
-            If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="mode">The <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode"/> indicating how to the old values are mapped to the new values.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>.
-            </summary>
-            <param name="env">The private instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="mode">The <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode"/> indicating how to the old values are mapped to the new values.</param>
-            <param name="columns">An array of (outputColumnName, inputColumnName) tuples.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.NormalizingEstimator.ColumnOptionsBase[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>.
-            </summary>
-            <param name="env">The private instance of the <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="columns">An array of <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator.ColumnOptionsBase"/> defining the inputs to the Normalizer, and their settings.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingTransformer.ColumnFunctions">
-            <summary>An accessor of the column functions within <see cref="F:Microsoft.ML.Transforms.NormalizingTransformer.Columns"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.NormalizingTransformer.Columns">
-            <summary>
-            The configuration of the normalizer. The i-th element describes the i-th input-output column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingTransformer.GetNormalizerModelParameters(System.Int32)">
-            <summary>
-            The normalization configurations of input columns. It returns the normalization parameters applied to the <paramref name="index"/>-th input column.
-            </summary>
-            <param name="index">column index.</param>
-            <returns>the normalization parameters applied to the <paramref name="index"/>-th input column.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizingTransformer.NormalizerModelParametersBase">
-            <summary>
-            Base class for all the data normalizer models like <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer.AffineNormalizerModelParameters`1"/>,
-            <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1"/>, <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizingTransformer.AffineNormalizerModelParameters`1">
-            <summary>
-            The model parameters generated by affine normalization transformations.
-            </summary>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Normalize](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeLogMeanVariance.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.AffineNormalizerModelParameters`1.Scale">
-            <summary>
-            The scales. In the scalar case, this is a single value. In the vector case this is of length equal
-            to the number of slots. Function is <c>(input - offset) * scale</c>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.AffineNormalizerModelParameters`1.Offset">
-            <summary>
-            The offsets. In the scalar case, this is a single value. In the vector case this is of length equal
-            to the number of slots, or of length zero if all the offsets are zero.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingTransformer.AffineNormalizerModelParameters`1.#ctor(`0,`0)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer.AffineNormalizerModelParameters`1"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1">
-            <summary>
-            The model parameters generated by cumulative distribution normalization transformations.
-            The cumulative density function is parameterized by <see cref="P:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1.Mean"/> and
-            the <see cref="P:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1.StandardDeviation"/> as observed during fitting.
-            </summary>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Normalize](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeLogMeanVariance.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1.Mean">
-            <summary>
-            The mean(s). In the scalar case, this is a single value. In the vector case this is of length equal
-            to the number of slots.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1.StandardDeviation">
-            <summary>
-            The standard deviation(s). In the scalar case, this is a single value. In the vector case this is of
-            length equal to the number of slots.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1.UseLog">
-            <summary>
-            Whether the we ought to apply a logarithm to the input first.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1.#ctor(`0,`0,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer.CdfNormalizerModelParameters`1"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1">
-            <summary>
-            The model parameters generated by buckettizing the data into bins with monotonically
-            increasing <see cref="P:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1.UpperBounds"/>.
-            The <see cref="P:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1.Density"/> value is constant from bin to bin, for most cases.
-            /// </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1.UpperBounds">
-            <summary>
-            The standard deviation(s). In the scalar case, these are the bin upper bounds for that single value.
-            In the vector case it is a jagged array of the bin upper bounds for all slots.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1.Density">
-            <summary>
-            The frequency of the datapoints per each bin.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1.Offset">
-            <summary>
-            If normalization is performed with <see cref="F:Microsoft.ML.Transforms.NormalizeTransform.ControlZeroArgumentsBase.EnsureZeroUntouched"/> set to <value>true</value>,
-            the offset indicates the displacement of zero, if any.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1.#ctor(System.Collections.Immutable.ImmutableArray{`0},`0,`0)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.NormalizingTransformer.BinNormalizerModelParameters`1"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.RangeFilter">
-            <summary>
-            Filters a dataview on a column of type Single, Double or Key (contiguous).
-            Keeps the values that are in the specified min/max range. NaNs are always filtered out.
-            If the input is a Key type, the min/max are considered percentages of the number of values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RangeFilter.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.Double,System.Double,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.RangeFilter"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="column">Name of the input column.</param>
-            <param name="lowerBound">Minimum value (0 to 1 for key types).</param>
-            <param name="upperBound">Maximum value (0 to 1 for key types).</param>
-            <param name="includeUpperBound">Whether to include the upper bound.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RangeFilter.RowCursorBase.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.RowShufflingTransformer">
-            <summary>
-            This is a transformer that, given any input dataview (even an unshufflable one) will,
-            when we construct a randomized cursor attempt to perform a rude version of shuffling
-            using a pool. A pool of a given number of rows will be constructed from the first
-            rows in the input cursor, and then, successively, the output cursor will yield one
-            of these rows and replace it with another row from the input.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Int32,System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.RowShufflingTransformer"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="poolRows">The pool will have this many rows</param>
-            <param name="poolOnly">If true, the transform will not attempt to shuffle the input cursor but only shuffle based on the pool. This parameter has no effect if the input data was not itself shufflable.</param>
-            <param name="forceShuffle">If true, the transform will always provide a shuffled view.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.RowShufflingTransformer.Options,Microsoft.ML.IDataView)">
-            <summary>
-            Constructor corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.SelectCachableColumns(Microsoft.ML.IDataView,Microsoft.ML.Runtime.IHostEnvironment)">
-            <summary>
-            Since shuffling requires serving up items potentially out of order we need to know
-            how to save and then copy out values that we read. This transform knows how to save
-            and copy out only primitive and vector valued columns, but nothing else, so any
-            other columns are dropped.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.CanShuffleAll(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Utility to check whether all types in an input schema are shufflable.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.GetShuffledCursor(Microsoft.ML.Runtime.IChannelProvider,System.Int32,Microsoft.ML.DataViewRowCursor,System.Random)">
-            <summary>
-            Utility to take a cursor, and get a shuffled version of this cursor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor">
-             <summary>
-             This describes the row cursor. Let's imagine we instantiated our shuffle transform
-             over a pool of size P. Logically, externally, the cursor acts as if you have this pool
-             P and whenever you randomly sample and yield a row from it, that row is then discarded
-             and replaced with the next row from the input source cursor.
-            
-             It would also be possible to implement in a way that cleaves closely to this logical
-             interpretation, but this would be inefficient. We instead have a buffer of larger size
-             P+B. A consumer (running presumably in the main thread) sampling and fetching items and a
-             producer (running in a task, which may be running in a different thread) filling the buffer
-             with items to sample, utilizing this extra space to enable an efficient possibly
-             multithreaded scheme.
-            
-             The consumer, for its part, at any given time "owns" a contiguous portion of this buffer.
-             (A contiguous portion of this buffer we consider to be able to wrap around, from the end
-             to the beginning. The buffer is accessed in a "circular" fashion.) Consider that this portion
-             is broken into three distinct regions: there is a sort of middle "sampling" region
-             (usually of size P but possibly smaller when we've reached the end of the input and so are
-             running out of rows to sample), a region before this sampling region composed of already
-             sampled "dead" rows, and a "presampling" region after this sampling region composed of
-             rows ready to be sampled in future iterations, but that we are not sampling yet (in order
-             to behave equivalently to the simple logical model of at any given time sampling P items).
-             The producer owns the complement of the portion owned by the consumer.
-            
-             As the cursor progresses, the producer fills in successive items in its portion of the
-             buffer it owns, and passes them off to the consumer (not one item at a time, but rather in
-             batches, to keep down the amount of intertask communication). The consumer in addition to
-             taking ownership of these items, will also periodically pass dead items back to the producer
-             (again, not one dead item at a time, but in batches when the number of dead items reaches
-             a certain threshold).
-            
-             This communication is accomplished using a pair of BufferBlock instances, through which
-             the producer and consumer are notified how many additional items they can take ownership
-             of.
-            
-             As the consumer "selects" a row from the pool of selectable rows each time it moves to
-             the next row, this randomly selected row is considered to be the "first" index, since this
-             makes its subsequent transition to being a dead row much simpler. It would be inefficient to
-             swap all the values in each column's buffer to accomplish this to make the selected row
-             first, of course, so one rather swaps an index, so that these nicely behavior contiguous
-             circular indices, get mapped in an index within the buffers, through a permutation maintained
-             in the pipeIndices array.
-            
-             The result is something functionally equivalent to but but considerably faster than the
-             simple implementation described in the first paragraph.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ExtraIndex">
-            <summary>
-            Pipes, in addition to column values, will also communicate extra information
-            enumerated within this. This enum serves the purpose of providing nice readable
-            indices to these "extra" information in pipes.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ShufflePipe">
-            <summary>
-            There is one of these created per active column plus any extra info, and is a mechanism
-            through which the producer is able to ingest and store this data from the source cursor,
-            and the consumer able to fetch data stored at particular indices.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ShufflePipe.Create(System.Int32,Microsoft.ML.Data.DataViewType,System.Delegate)">
-            <summary>
-            Creates a shuffle pipe, given a value getter.
-            </summary>
-            <param name="bufferSize">The size of the internal array.</param>
-            <param name="type">The column type, which determines what type of pipe is created</param>
-            <param name="getter">A getter that should be a value getter corresponding to the
-            column type</param>
-            <returns>An appropriate <see cref="T:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ShufflePipe`1"/></returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ShufflePipe.Fill(System.Int32)">
-            <summary>
-            Reads the cursor column's current value, and store it in the indicated index,
-            in the internal array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ShufflePipe`1.Fetch(System.Int32,`0@)">
-            <summary>
-            Copies the values stored at an index through a previous <see cref="M:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.ShufflePipe`1.Fill(System.Int32)"/> method,
-            call to a value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.RowShufflingTransformer.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.SkipTakeFilter">
-            <summary>
-            Allows limiting input to a subset of row at an optional offset.  Can be used to implement data paging.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SkipTakeFilter.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.SkipTakeFilter.SkipOptions,Microsoft.ML.IDataView)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.SkipTakeFilter"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="options">Options for the skip operation.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SkipTakeFilter.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.SkipTakeFilter.TakeOptions,Microsoft.ML.IDataView)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.SkipTakeFilter"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="options">Options for the take operation.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SkipTakeFilter.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>Creates instance of class from context.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SkipTakeFilter.SaveModel(Microsoft.ML.ModelSaveContext)">
-            <summary>Saves class data to context</summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.SkipTakeFilter.CanShuffle">
-            <summary>
-            This filter can not shuffle
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SkipTakeFilter.GetRowCount">
-            <summary>
-            Returns the computed count of rows remaining after skip and take operation.
-            Returns null if count is unknown.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.SkipTakeFilter.Cursor.Batch">
-            <summary>
-            SkipTakeFilter does not support cursor sets, so this can always be zero.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.SlotsDroppingTransformer">
-            <summary>
-            Transform to drop slots from columns. If the column is scalar, the only slot that can be dropped is slot 0.
-            If all the slots are to be dropped, a vector valued column will be changed to a vector of length 1 (a scalar column will retain its type) and
-            the value will be the default value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SlotsDroppingTransformer.Range.IsValid">
-            <summary>
-            Returns true if the range is valid.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.SlotsDroppingTransformer.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one input-output column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SlotsDroppingTransformer.ColumnOptions.#ctor(System.String,System.String,System.ValueTuple{System.Int32,System.Nullable{System.Int32}}[])">
-            <summary>
-            Describes how the transformer handles one input-output column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform.
-            If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="slots">Ranges of indices in the input column to be dropped. Setting max in <paramref name="slots"/> to null sets max to int.MaxValue.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SlotsDroppingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Nullable{System.Int32})">
-            <summary>
-            Initializes a new <see cref="T:Microsoft.ML.Transforms.SlotsDroppingTransformer"/> object.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="min">Specifies the lower bound of the range of slots to be dropped. The lower bound is inclusive. </param>
-            <param name="max">Specifies the upper bound of the range of slots to be dropped. The upper bound is exclusive.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SlotsDroppingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.SlotsDroppingTransformer.ColumnOptions[])">
-            <summary>
-            Initializes a new <see cref="T:Microsoft.ML.Transforms.SlotsDroppingTransformer"/> object.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="columns">Specifies the ranges of slots to drop for each column pair.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SlotsDroppingTransformer.Mapper.IsValidColumnType(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Both scalars and vectors are acceptable types, but the item type must have a default value which means it must be
-            a string, a key, a float or a double.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.SlotsDroppingTransformer.Mapper.ComputeType(Microsoft.ML.DataViewSchema,System.Int32,Microsoft.ML.Internal.Internallearn.SlotDropper,System.Boolean@,Microsoft.ML.Data.DataViewType@,System.Int32[]@)">
-            <summary>
-            Computes the types (column and slotnames), the length reduction, categorical feature indices
-            and whether the column is suppressed.
-            The slotsMin and slotsMax arrays should be sorted and the intervals should not overlap.
-            </summary>
-            <param name="input">The input schema</param>
-            <param name="iinfo">The column index in Infos</param>
-            <param name="slotDropper">The slots to be dropped.</param>
-            <param name="suppressed">Whether the column is suppressed (all slots dropped)</param>
-            <param name="type">The column type</param>
-            <param name="categoricalRanges">Categorical feature indices.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ScoringTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String,System.String)">
-            <summary>
-            Convenience method for creating <see cref="T:Microsoft.ML.Transforms.ScoringTransformer"/>.
-            The <see cref="T:Microsoft.ML.Transforms.ScoringTransformer"/> allows for model stacking (i.e. to combine information from multiple predictive models to generate a new model)
-            in the pipeline by using the scores from an already trained model.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>.</param>
-            <param name="inputModelFile">The model file.</param>
-            <param name="featureColumn">Role name for the features.</param>
-            <param name="groupColumn">Role name for the group column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TrainAndScoreTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.ITrainer,System.String,System.String,System.String)">
-             <summary>
-             Convenience method for creating <see cref="T:Microsoft.ML.Transforms.TrainAndScoreTransformer"/>.
-             The <see cref="T:Microsoft.ML.Transforms.TrainAndScoreTransformer"/> allows for model stacking (i.e. to combine information from multiple predictive models to generate a new model)
-             in the pipeline by training a model first and then using the scores from the trained model.
-            
-             Unlike <see cref="T:Microsoft.ML.Transforms.ScoringTransformer"/>, the <see cref="T:Microsoft.ML.Transforms.TrainAndScoreTransformer"/> trains the model on the fly as name indicates.
-             </summary>
-             <param name="env">Host Environment.</param>
-             <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>.</param>
-             <param name="trainer">The <see cref="T:Microsoft.ML.ITrainer"/> object i.e. the learning algorithm that will be used for training the model.</param>
-             <param name="featureColumn">Role name for features.</param>
-             <param name="labelColumn">Role name for label.</param>
-             <param name="groupColumn">Role name for the group column.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.TransformInputBase">
-            <summary>
-            The base class for all transform inputs.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.TransformInputBase.Data">
-            <summary>
-            The input dataset. Used only in entry-point methods, since the normal API mechanism for feeding in a dataset to
-            create an <see cref="T:Microsoft.ML.ITransformer"/> is to use the <see cref="M:Microsoft.ML.IEstimator`1.Fit(Microsoft.ML.IDataView)"/> method.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.TypeConvertingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.TypeConvertingTransformer.Columns">
-            <summary>
-            A collection of <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions"/> describing the settings of the transformation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Data.DataKind,System.String,Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Convinence constructor for simple one column case.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the output column.</param>
-            <param name="inputColumnName">Name of the column to be transformed. If this is null '<paramref name="outputColumnName"/>' will be used.</param>
-            <param name="outputKind">The expected type of the converted column.</param>
-            <param name="outputKeyCount">New key count if we work with key type.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.TypeConvertingTransformer"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.TypeConvertingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.TypeConvertingTransformer"/>. Converts the underlying input column type to a new type.
-             The input and output column types need to be compatible.
-             <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/>
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector or primitive numeric, boolean, [text](xref:Microsoft.ML.Data.TextDataViewType), [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Vector or primitive numeric, boolean, [text](xref:Microsoft.ML.Data.TextDataViewType), [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Exportable to ONNX | Yes |
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Data.DataKind)"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,Microsoft.ML.Data.DataKind)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.Name">
-            <summary>
-            Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.InputColumnName">
-            <summary>
-            Name of column to transform. If set to <see langword="null"/>, the value of the <see cref="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.Name"/> will be used as source.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.OutputKind">
-            <summary>
-            The expected kind of the converted column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.OutputKeyCount">
-            <summary>
-            New key count, if we work with key type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.#ctor(System.String,Microsoft.ML.Data.DataKind,System.String,Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="outputKind">The expected kind of the converted column.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="outputKeyCount">New key count, if we work with key type.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.#ctor(System.String,System.Type,System.String,Microsoft.ML.Data.KeyCount)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="type">The expected kind of the converted column.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="outputKeyCount">New key count, if we work with key type.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Data.DataKind)">
-            <summary>
-            Convinence constructor for simple one column case.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="outputKind">The expected kind of the converted column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TypeConvertingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueMappingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.ValueMappingTransformer"/> creating a key-value map using the pairs of values in the input data
-             <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/>
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector or primitive numeric, boolean, text, [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Vector or primitive numeric, boolean, text, [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Exportable to ONNX | No |
-            
-             Given two sets of values, one serving as the key, and the other as the value of a Dictionary, the ValueMappingEstimator builds up this dictionary so that when given a specific key it will return a
-             specific value.The ValueMappingEstimator supports keys and values of different [System.Type](xref:System.Type) to support different data types.
-             Examples for using a ValueMappingEstimator are:
-             * Converting a string value to a string value, this can be useful for grouping (i.e. 'cat', 'dog', 'horse' maps to 'mammals').
-             * Converting a string value to a integer value (i.e. converting the text description like quality to an numeric where 'good' maps to 1, 'poor' maps to 0.
-             * Converting a integer value to a string value and have the string value represented as a [key](xref:Microsoft.ML.Data.KeyDataViewType) type.
-             (i.e. convert zip codes to a state string value, which will generate a unique integer value that can be used as a label.
-            
-             Values can be repeated to allow for multiple keys to map to the same value, however keys can not be repeated. The mapping between keys and values
-             can be specified either through lists, where the key list and value list must be the same size or can be done through an [System.IDataView](xref:Microsoft.ML.IDataView).
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column,Microsoft.ML.DataViewSchema.Column,System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueMappingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column,Microsoft.ML.DataViewSchema.Column,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Constructs the ValueMappingEstimator, key type -> value type mapping
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="lookupMap">An instance of <see cref="T:Microsoft.ML.IDataView"/> that contains the key and value columns.</param>
-            <param name="keyColumn">Name of the key column in <paramref name="lookupMap"/>.</param>
-            <param name="valueColumn">Name of the value column in <paramref name="lookupMap"/>.</param>
-            <param name="columns">The list of names of the input columns to apply the transformation, and the name of the resulting column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueMappingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueMappingEstimator`2">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.ValueMappingTransformer"/> creating a key-value map using the pairs of values in the input data
-             <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/>
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector or primitive numeric, boolean, text, [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type.|
-             | Output column data type | Vector or primitive numeric, boolean, text, [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type.|
-             | Exportable to ONNX | No |
-            
-             Given two sets of values, one serving as the key, and the other as the value of a Dictionary, the ValueMappingEstimator builds up this dictionary so that when given a specific key it will return a
-             specific value.The ValueMappingEstimator supports keys and values of different [System.Type](xref:System.Type) to support different data types.
-             Examples for using a ValueMappingEstimator are:
-             * Converting a string value to a string value, this can be useful for grouping (i.e. 'cat', 'dog', 'horse' maps to 'mammals').
-             * Converting a string value to a integer value (i.e. converting the text description like quality to an numeric where 'good' maps to 1, 'poor' maps to 0.
-             * Converting a integer value to a string value and have the string value represented as a [key](xref:Microsoft.ML.Data.KeyDataViewType) type.
-             (i.e. convert zip codes to a state string value, which will generate a unique integer value that can be used as a label.
-            
-             Values can be repeated to allow for multiple keys to map to the same value, however keys can not be repeated. The mapping between keys and values
-             can be specified either through lists, where the key list and value list must be the same size or can be done through an [System.IDataView](xref:Microsoft.ML.IDataView).
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <typeparam name="TKey">Specifies the key type.</typeparam>
-             <typeparam name="TValue">Specifies the value type.</typeparam>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue``2(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.String,System.Boolean)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueMappingEstimator`2.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column,Microsoft.ML.DataViewSchema.Column,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Constructs the ValueMappingEstimator, key type -> value array type mapping
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="lookupMap">A <see cref="T:Microsoft.ML.IDataView"/> containing key column and value column.</param>
-            <param name="keyColumn">The key column in <paramref name="lookupMap"/>.</param>
-            <param name="valueColumn">The value column in <paramref name="lookupMap"/>.</param>
-            <param name="columns">The list of columns to apply.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.DataViewHelper">
-            <summary>
-            The DataViewHelper provides a set of static functions to create a DataView given a list of keys and values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.DataViewHelper.GetPrimitiveType(System.Type,System.Boolean@)">
-            <summary>
-            Helper function to retrieve the Primitive type given a Type
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.DataViewHelper.GetKeyValueGetter``1(``0[])">
-            <summary>
-            Helper function for a reverse lookup given value. This is used for generating the metadata of the value column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.DataViewHelper.AddColumnWrapper``1(Microsoft.ML.Data.ArrayDataViewBuilder,System.String,Microsoft.ML.Data.PrimitiveDataViewType,``0[])">
-            <summary>
-            Helper function to add a column to an ArrayDataViewBuilder. This handles the case if the type is a string.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.DataViewHelper.AddColumnWrapper``1(Microsoft.ML.Data.ArrayDataViewBuilder,System.String,Microsoft.ML.Data.PrimitiveDataViewType,``0[][])">
-            <summary>
-            Helper function to add a column to an ArrayDataViewBuilder. This handles the case if the type is an array of strings.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.DataViewHelper.CreateDataView``2(Microsoft.ML.Runtime.IHostEnvironment,System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1[]},System.String,System.String)">
-            <summary>
-            Helper function to create an IDataView given a list of key and vector-based values
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.DataViewHelper.CreateDataView``2(Microsoft.ML.Runtime.IHostEnvironment,System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1},System.String,System.String,System.Boolean)">
-            <summary>
-            Helper function that builds the IDataView given a list of keys and non-vector values
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueMappingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueMappingTransformer.CheckModelVersion(Microsoft.ML.ModelLoadContext,Microsoft.ML.VersionInfo)">
-            <summary>
-            Helper function to determine the model version that is being loaded.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueMappingTransformer.ValueMap">
-            <summary>
-            Base class that contains the mapping of keys to values.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueMappingTransformer.ValueMap`2">
-            <summary>
-            Implementation mapping class that maps a key of TKey to a specified value of TValue.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueMappingTransformer.ValueMap`2.Train(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewRowCursor)">
-            <summary>
-            Generates the mapping based on the IDataView
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueMappingTransformer.GetBytesFromDataView(Microsoft.ML.Runtime.IHost,Microsoft.ML.IDataView,System.String,System.String)">
-            <summary>
-            Retrieves the byte array given a dataview and columns
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the
-             <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer"/>. Converts a set of categorical
-             values (for example, US state abbreviations) into numerical key values (e.g. 1-50).
-             The numerical key can be used directly by classification algorithms.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Scalar or vector of numeric, boolean, [text](xref:Microsoft.ML.Data.TextDataViewType), [System.DateTime](xref:System.DateTime) and [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Scalar or vector of [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Exportable to ONNX | Yes |
-            
-             The ValueToKeyMappingEstimator maps the input values to keys using a
-             dictionary that is built during training. The dictionary mapping values to
-             keys is most commonly learnt from the unique values in input data,
-             but can be pre-defined.
-             The key value is the one-based index of the item in the dictionary.
-             If the key is not found in the dictionary, it is assigned the missing value
-             indicator.
-             If multiple columns are used, each column builds exactly one dictionary.
-             The dictionary data is stored as an annotation in the schema, to enable
-             the reverse mapping to occur using [KeyToValueMappingEstimator](xref:Microsoft.ML.Transforms.KeyToValueMappingEstimator)
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)"/>
-             <seealso cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality">
-            <summary>
-            Controls how the order of the output keys.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence">
-            <summary>
-            Values will be assigned keys in the order in which they appear.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue">
-            <summary>
-            Values will be assigned keys according to their sort via an ordinal comparison for the type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.ColumnOptionsBase">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean)">
-            <summary>
-            Describes how the transformer handles column pairs.
-            </summary>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="maximumNumberOfKeys">Maximum number of keys to keep per column when auto-training.</param>
-            <param name="keyOrdinality">The order in which keys are assigned.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/>, keys are assigned in the order encountered.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>, values are sorted, and keys are assigned based on the sort order.</param>
-            <param name="addKeyValueAnnotationsAsText">If set to true, use text type
-            for values, regardless of the actual input type. When doing the reverse
-            mapping, the values are text rather than the original input type.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="maximumNumberOfKeys">Maximum number of keys to keep per column when auto-training.</param>
-            <param name="keyOrdinality">The order in which keys are assigned.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/>, keys are assigned in the order encountered.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>, values are sorted, and keys are assigned based on the sort order.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.GetKeyDataViewOrNull(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,System.String,System.String,Microsoft.ML.Runtime.IComponentFactory{Microsoft.ML.Data.IMultiStreamSource,Microsoft.ML.Data.ILegacyDataLoader},System.Boolean@)">
-            <summary>
-            Returns a single-column <see cref="T:Microsoft.ML.IDataView"/>, based on values from <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Options"/>,
-            in the case where <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.OptionsBase.DataFile"/> is set. If that is not set, this will
-            return <see langword="null"/>.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="ch">The host channel to use to mark exceptions and log messages.</param>
-            <param name="file">The name of the file. Must be specified if this method is called.</param>
-            <param name="termsColumn">The single column to select out of this transform. If not specified,
-            this method will attempt to guess.</param>
-            <param name="loaderFactory">The loader creator. If <see langword="null"/> we will attempt to determine
-            this </param>
-            <param name="autoConvert">Whether we should try to convert to the desired type by ourselves when doing
-            the term map. This will not be true in the case that the loader was adequately specified automatically.</param>
-            <returns>The single-column data containing the term data from the file.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.CreateTermMapFromData(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.IDataView,System.Boolean,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder)">
-            <summary>
-            Utility method to create the file-based <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Train(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.ColInfo[],Microsoft.ML.IDataView,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.ColumnOptionsBase[],Microsoft.ML.IDataView,System.Boolean)">
-            <summary>
-            This builds the <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap"/> instances per column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder">
-            <summary>
-            These are objects shared by both the scalar and vector implementations of <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer"/>
-            to accumulate individual scalar objects, and facilitate the creation of a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.ItemType">
-            <summary>
-            The item type we are building into a term map.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.Count">
-            <summary>
-            The number of items that would be in the map if created right now.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.Finish">
-            <summary>
-            Called at the end of training, to get the final mapper object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.ParseAddTermArg(System.ReadOnlyMemory{System.Char}@,Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            Handling for the "terms" arg.
-            </summary>
-            <param name="terms">The input terms argument</param>
-            <param name="ch">The channel against which to report errors and warnings</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.ParseAddTermArg(System.String[],Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            Handling for the "term" arg.
-            </summary>
-            <param name="terms">The input terms argument</param>
-            <param name="ch">The channel against which to report errors and warnings</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.Impl`1">
-            <summary>
-            The sorted builder outputs things so that the keys are in sorted order.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder.Impl`1.#ctor(Microsoft.ML.Data.PrimitiveDataViewType,Microsoft.ML.Data.InPredicate{`0},System.Boolean)">
-            <summary>
-            Instantiates.
-            </summary>
-            <param name="type">The type we are mapping</param>
-            <param name="mapsToMissing">This indicates whether a given value will map
-            to the missing value. If this returns true for a value then we do not attempt
-            to store it in the map.</param>
-            <param name="sort">Indicates whether to sort mapping IDs by input values.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder`1.TryAdd(`0@)">
-            <summary>
-            Ensures that the item is in the set. Returns true iff it added the item.
-            </summary>
-            <param name="val">The value to consider</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder`1.ParseAddTermArg(System.ReadOnlyMemory{System.Char}@,Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            Handling for the "terms" arg.
-            </summary>
-            <param name="terms">The input terms argument</param>
-            <param name="ch">The channel against which to report errors and warnings</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder`1.ParseAddTermArg(System.String[],Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            Handling for the "term" arg.
-            </summary>
-            <param name="terms">The input terms argument</param>
-            <param name="ch">The channel against which to report errors and warnings</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer">
-            <summary>
-            The trainer is an object that given an <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder"/> instance, maps a particular
-            input, whether it be scalar or vector, into this and allows us to continue training on it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer.Create(Microsoft.ML.DataViewRow,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder)">
-            <summary>
-            Creates an instance of <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer"/> appropriate for the type at a given
-            row and column.
-            </summary>
-            <param name="row">The row to fetch from</param>
-            <param name="col">The column to get the getter from</param>
-            <param name="count">The maximum count of items to map</param>
-            <param name="autoConvert">Whether we attempt to automatically convert
-            the input type to the desired type</param>
-            <param name="bldr">The builder we add items to</param>
-            <returns>An associated training pipe</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer.ProcessRow">
-            <summary>
-            Indicates to the <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer"/> that we have reached a new row and should consider
-            what to do with these values. Returns false if we have determined that it is no longer necessary
-            to call this train, because we've already accumulated the maximum number of values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Trainer.Finish">
-            <summary>
-            Returns a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap"/> over the items in this column. Note that even if this
-            was trained over a vector valued column, the particular implementation returned here
-            should be a mapper over the item type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Bind(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewSchema,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.ColInfo[],System.Boolean[],System.Int32)">
-            <summary>
-            Given this instance, bind it to a particular input column. This allows us to service
-            requests on the input dataset. This should throw an error if we attempt to bind this
-            to the wrong type of item.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap">
-             <summary>
-             A map is an object capable of creating the association from an input type, to an output
-             type. The input type, whatever it is, must have <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.ItemType"/> as its input item
-             type, and will produce either <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.OutputType"/>, or a vector type with that output
-             type if the input was a vector.
-            
-             Note that instances of this class can be shared among multiple <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer"/>
-             instances. To associate this with a particular transform, use the <see cref="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Bind(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.DataViewSchema,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap,Microsoft.ML.Transforms.ValueToKeyMappingTransformer.ColInfo[],System.Boolean[],System.Int32)"/> method.
-            
-             These are the immutable and serializable analogs to the <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Builder"/> used in
-             training.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.ItemType">
-            <summary>
-            The item type of the input type, that is, either the input type or,
-            if a vector, the item type of that type.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.OutputType">
-            <summary>
-            The output item type. This will always be of known cardinality. Its count is always
-            equal to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.Count"/>, unless <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.Count"/> is 0 in which case this has
-            key count of 1, since a count of 0 would indicate an unbound key. If we ever improve
-            key types so they are capable of distinguishing between the set they index being
-            empty vs. of unknown or unbound cardinality, this should change.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.Count">
-            <summary>
-            The number of items in the map.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.TextImpl.#ctor(Microsoft.ML.Internal.Utilities.NormStr.Pool)">
-            <summary>
-            A pool based text mapping implementation.
-            </summary>
-            <param name="pool">The string pool</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.BoundTermMap">
-            <summary>
-            A mapper bound to a particular transform, and a particular column. These wrap
-            a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap"/>, and facilitate mapping that object to the inputs of
-            a particular column, providing both values and metadata.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.BoundTermMap.AddMetadata(Microsoft.ML.DataViewSchema.Annotations.Builder)">
-            <summary>
-            Allows us to optionally register metadata. It is also perfectly legal for
-            this to do nothing, which corresponds to there being no metadata.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.BoundTermMap.WriteTextTerms(System.IO.TextWriter)">
-            <summary>
-            Writes out all terms we map to a text writer, with one line per mapped term.
-            The line should have the format mapped key value, then a tab, then the term
-            that is mapped. The writer should not be closed, as it will be used to write
-            all term maps. We should write <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.TermMap.Count"/> terms.
-            </summary>
-            <param name="writer">The writer to which we write terms</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.BoundTermMap.Base`1.MapDefault(Microsoft.ML.Data.ValueMapper{`0,System.UInt32})">
-            <summary>
-            Returns what the default value maps to.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.BoundTermMap.KeyImpl`1">
-            <summary>
-            The key-typed version is the same as <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.BoundTermMap.Impl`1"/>, except the metadata
-            is based off a subset of the key values metadata.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ConversionsExtensionsCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of data conversion and mapping transformer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.HashingEstimator"/>, which hashes the data from the column specified in <paramref name="inputColumnName"/>
-            to a new column: <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of keys, or a scalar of key based on whether the input column data types
-            are vectors or scalars.</param>
-            <param name="inputColumnName">Name of the column whose data will be hashed.
-            If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over vectors or scalars of text, numeric, boolean, key or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> data types. </param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 31, inclusive.</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the annotations for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/>Specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-             <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[Hash](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/Hash.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.Hash(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.HashingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.HashingEstimator"/>, which hashes the input column's data type <see cref="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.InputColumnName" />
-            to a new column: <see cref="P:Microsoft.ML.Transforms.HashingEstimator.ColumnOptions.Name" />.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">Advanced options for the estimator that also contain the input and output column names.
-            This estimator operates over text, numeric, boolean, key and <see cref="T:Microsoft.ML.Data.DataViewRowId"/> data types.
-            The new column's data type will be a vector of <see cref="T:System.UInt32"/>, or a <see cref="T:System.UInt32"/> based on whether the input column data types
-            are vectors or scalars.</param>
-             <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[Hash](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/HashWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,Microsoft.ML.Data.DataKind)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator"/>, which converts the type of the data to the type specified in <paramref name="outputKind"/>.
-            </summary>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This transform operates over numeric, boolean, text, <see cref="T:System.DateTime"/> and key data types.</param>
-            <param name="outputKind">The expected kind of the output column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[ConvertType](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/ConvertType.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Data.DataKind)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator"/>, which converts the type of the data to the type specified in <paramref name="outputKind"/>.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.
-            This transform operates over numeric, boolean, text, <see cref="T:System.DateTime"/> and key data types.</param>
-            <param name="outputKind">The expected kind of the output column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[ConvertType](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/ConvertTypeMultiColumn.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.ConvertType(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.TypeConvertingEstimator"/>, which converts the type of the data in the <see cref="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.InputColumnName"/>
-            to the type specified in the <see cref="F:Microsoft.ML.Transforms.TypeConvertingEstimator.ColumnOptions.OutputKind"/>
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.
-            This transform operates over numeric, boolean, text, <see cref="T:System.DateTime"/> and keys.</param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToValueMappingEstimator"/>, which converts the key types back to their original values.
-            </summary>
-            <remarks>This transform often is in the pipeline after one of the overloads of
-            <see cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)"/></remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            Its type will be the original value's type.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This transform operates over keys.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[MapKeyToValue](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/KeyToValueToKey.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToValueMappingEstimator"/>, which converts the key types back to their original values.
-            </summary>
-            <remarks>This transform can operate over several columns.
-            This transform often is in the pipeline after one of the overloads of
-            <see cref="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)"/></remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.
-            This transform operates over keys.
-            The new column's data type will be the original value's type.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[MapKeyToValue](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapKeyToValueMultiColumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.KeyToVectorMappingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToVectorMappingEstimator"/>, which maps the value of a key into a floating point vector representing the value.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToVectorMappingEstimator"/>, which maps the value of a key into a floating point vector representing the value.
-            </summary>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            The data type is a vector of <see cref="T:System.Single"/> representing the input value.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This transform operates over keys.</param>
-            <param name="outputCountVector">Whether to combine multiple indicator vectors into a single vector of counts instead of concatenating them.
-            This is only relevant when the input column is a vector of keys.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MapKeyToVector](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapKeyToVector.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapKeyToVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToVectorMappingEstimator"/>, which maps the value of a key into a floating point vector representing the value.
-            </summary>
-            <remarks>This transform can operate over several columns of keys.</remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.
-            The new column's data type is a vector of <see cref="T:System.Single"/> representing the original value.</param>
-            <param name="outputCountVector">Whether to combine multiple indicator vectors into a single vector of counts instead of concatenating them.
-            This is only relevant when the input column is a vector of keys.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MapKeyToVector](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapKeyToVectorMultiColumn.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator"/>, which converts categorical values into numerical keys.
-            </summary>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="outputColumnName">Name of the column containing the keys.</param>
-            <param name="inputColumnName">Name of the column containing the categorical values. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> is used.
-            The input data types can be numeric, text, boolean, <see cref="T:System.DateTime"/> or <see cref="T:System.DateTimeOffset"/>.
-            </param>
-            <param name="maximumNumberOfKeys">Maximum number of keys to keep per column when training.</param>
-            <param name="keyOrdinality">The order in which keys are assigned.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/>, keys are assigned in the order encountered.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>, values are sorted, and keys are assigned based on the sort order.</param>
-            <param name="addKeyValueAnnotationsAsText">If set to true, use text type
-            for values, regardless of the actual input type. When doing the reverse
-            mapping, the values are text rather than the original input type.</param>
-            <param name="keyData">Use a pre-defined mapping between values and keys, instead of building
-            the mapping from the input data during training. If specified, this should be a single column <see cref="T:Microsoft.ML.IDataView"/> containing the values.
-            The keys are allocated based on the value of keyOrdinality.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[MapValueToKey](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/KeyToValueToKey.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,System.Boolean,Microsoft.ML.IDataView)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator"/>, which converts categorical values into keys.
-            </summary>
-            <remarks>This transform can operate over multiple pairs of columns, creating a mapping for each pair.</remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.
-            The input data types can be numeric, text, boolean, <see cref="T:System.DateTime"/> or <see cref="T:System.DateTimeOffset"/>.
-            </param>
-            <param name="maximumNumberOfKeys">Maximum number of keys to keep per column when training.</param>
-            <param name="keyOrdinality">The order in which keys are assigned.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/>, keys are assigned in the order encountered.
-            If set to <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>, values are sorted, and keys are assigned based on the sort order.</param>
-            <param name="addKeyValueAnnotationsAsText">If set to true, use text type
-            for values, regardless of the actual input type. When doing the reverse
-            mapping, the values are text rather than the original input type.</param>
-            <param name="keyData">Use a pre-defined mapping between values and keys, instead of building
-            the mapping from the input data during training. If specified, this should be a single column <see cref="T:Microsoft.ML.IDataView"/> containing the values.
-            The keys are allocated based on the value of keyOrdinality.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[MapValueToKey](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapValueToKeyMultiColumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValueToKey(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.ColumnOptions[],Microsoft.ML.IDataView)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingEstimator"/>, which converts value types into keys, optionally loading the keys to use from <paramref name="keyData"/>.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The conversion transform's catalog.</param>
-            <param name="columns">The input and output columns.
-            The input data types can be numeric, text, boolean, <see cref="T:System.DateTime"/> or <see cref="T:System.DateTimeOffset"/>.
-            </param>
-            <param name="keyData">The data view containing the terms. If specified, this should be a single column data
-            view, and the key-values will be taken from that column. If unspecified, the key-values will be determined
-            from the input data upon fitting.</param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue``2(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.String,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys, loading the keys to use from <paramref name="keyValuePairs"/>.
-            </summary>
-            <typeparam name="TInputType">The key type.</typeparam>
-            <typeparam name="TOutputType">The value type.</typeparam>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            The output data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types.</param>
-            <param name="keyValuePairs">Specifies the mapping that will be performed. The keys will be mapped to the values as specified in the <paramref name="keyValuePairs"/>.</param>
-            <param name="inputColumnName">Name of the column to transform.
-            If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            The input data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types.
-            </param>
-            <param name="treatValuesAsKeyType">Whether to treat the values as a key.</param>
-            <returns>An instance of the <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/></returns>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MapValue](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapValue.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue``2(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys, loading the keys to use from <paramref name="keyValuePairs"/>.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <typeparam name="TInputType">The key type.</typeparam>
-            <typeparam name="TOutputType">The value type.</typeparam>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="keyValuePairs">Specifies the mapping that will be performed. The keys will be mapped to the values as specified in the <paramref name="keyValuePairs"/>.</param>
-            <param name="columns">The input and output columns.
-            The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue``2(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.Boolean,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys, loading the keys to use from <paramref name="keyValuePairs"/>.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <typeparam name="TInputType">The key type.</typeparam>
-            <typeparam name="TOutputType">The value type.</typeparam>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="keyValuePairs">Specifies the mapping that will be performed. The keys will be mapped to the values as specified in the <paramref name="keyValuePairs"/>.</param>
-            <param name="treatValuesAsKeyType">Whether to treat the values as a keys.</param>
-            <param name="columns">The input and output columns.
-            The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue``2(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1[]}},System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys, loading the keys to use from <paramref name="keyValuePairs"/>.
-            </summary>
-            <typeparam name="TInputType">The key type.</typeparam>
-            <typeparam name="TOutputType">The value type.</typeparam>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types,
-            as specified in the <typeparamref name="TOutputType"/>.</param>
-            <param name="keyValuePairs">Specifies the mapping that will be performed. The keys will be mapped to the values as specified in the <paramref name="keyValuePairs"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types,
-            as specified in the <typeparamref name="TInputType"/>.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MapValue](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapValueToArray.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue``2(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1[]}},Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys, loading the keys to use from <paramref name="keyValuePairs"/>.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <typeparam name="TInputType">The key type.</typeparam>
-            <typeparam name="TOutputType">The value type.</typeparam>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="keyValuePairs">Specifies the mapping that will be performed. The keys will be mapped to the values as specified in the <paramref name="keyValuePairs"/>.</param>
-            <param name="columns">The input and output columns. The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>,
-            <see cref="T:System.DateTimeOffset"/> or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types, as specified in the <typeparamref name="TInputType"/> and <typeparamref name="TOutputType"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column,Microsoft.ML.DataViewSchema.Column,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys, loading the keys to use from the <paramref name="lookupMap"/> where the <paramref name="keyColumn"/>
-            specifies the keys, and the <paramref name="valueColumn"/> the respective value.
-            </summary>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/>
-            or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types.</param>
-            <param name="lookupMap">An instance of <see cref="T:Microsoft.ML.IDataView"/> that contains the <paramref name="keyColumn"/> and <paramref name="valueColumn"/> columns.</param>
-            <param name="keyColumn">The key column in <paramref name="lookupMap"/>.</param>
-            <param name="valueColumn">The value column in <paramref name="lookupMap"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            The data types can be primitives or vectors of numeric, text, boolean, <see cref="T:System.DateTime"/>, <see cref="T:System.DateTimeOffset"/>
-            or <see cref="T:Microsoft.ML.Data.DataViewRowId"/> types.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MapValue](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapValueIdvLookup.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsExtensionsCatalog.MapValue(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.IDataView,Microsoft.ML.DataViewSchema.Column,Microsoft.ML.DataViewSchema.Column,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ValueMappingEstimator"/>, which converts value types into keys,
-            loading the keys to use from the <paramref name="lookupMap"/> where the <paramref name="keyColumn"/>
-            specifies the keys, and the <paramref name="valueColumn"/> the respective value.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The conversion transform's catalog</param>
-            <param name="lookupMap">An instance of <see cref="T:Microsoft.ML.IDataView"/> that contains the <paramref name="keyColumn"/> and <paramref name="valueColumn"/> columns.</param>
-            <param name="keyColumn">The key column in <paramref name="lookupMap"/>.</param>
-            <param name="valueColumn">The value column in <paramref name="lookupMap"/>.</param>
-            <param name="columns">The input and output columns.</param>
-        </member>
-        <member name="T:Microsoft.ML.ExplainabilityCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of model explainability components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Trainers.ICalculateFeatureContribution},System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingEstimator"/> that computes model-specific contribution scores for
-            each feature of the input vector.
-            </summary>
-            <param name="catalog">The transforms catalog.</param>
-            <param name="predictionTransformer">A <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> that supports Feature Contribution Calculation,
-            and which will also be used for scoring.</param>
-            <param name="numberOfPositiveContributions">The number of positive contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with positive contributions than <paramref name="numberOfPositiveContributions"/>, the rest will be returned as zeros.</param>
-            <param name="numberOfNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with negative contributions than <paramref name="numberOfNegativeContributions"/>, the rest will be returned as zeros.</param>
-            <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CalculateFeatureContribution](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CalculateFeatureContribution.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ExplainabilityCatalog.CalculateFeatureContribution``2(Microsoft.ML.TransformsCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.CalibratedModelParametersBase{``0,``1}},System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingEstimator"/> that computes model-specific contribution scores for
-            each feature of the input vector. Supports calibrated models.
-            </summary>
-            <param name="catalog">The transforms catalog.</param>
-            <param name="predictionTransformer">A <see cref="T:Microsoft.ML.ISingleFeaturePredictionTransformer`1"/> that supports Feature Contribution Calculation,
-            and which will also be used for scoring.</param>
-            <param name="numberOfPositiveContributions">The number of positive contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with positive contributions than <paramref name="numberOfPositiveContributions"/>, the rest will be returned as zeros.</param>
-            <param name="numberOfNegativeContributions">The number of negative contributions to report, sorted from highest magnitude to lowest magnitude.
-            Note that if there are fewer features with negative contributions than <paramref name="numberOfNegativeContributions"/>, the rest will be returned as zeros.</param>
-            <param name="normalize">Whether the feature contributions should be normalized to the [-1, 1] interval.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CalculateFeatureContributionCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CalculateFeatureContributionCalibrated.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.InputOutputColumnPair">
-            <summary>
-            Specifies input and output column names for transformer components that operate on multiple columns.
-            </summary>
-            <remarks>
-            It is often advantageous to transform several columns at once as all of the changes can be done in a
-            single data pass.
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.InputOutputColumnPair.InputColumnName">
-            <summary>
-            Name of the column to transform. If set to <see langword="null"/>, the value of the <see cref="P:Microsoft.ML.InputOutputColumnPair.OutputColumnName"/> will be used as source.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.InputOutputColumnPair.OutputColumnName">
-            <summary>
-            Name of the column resulting from the transformation of <see cref="P:Microsoft.ML.InputOutputColumnPair.InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.InputOutputColumnPair.#ctor(System.String,System.String)">
-            <summary>
-            Specifies input and output column names for a transformation.
-            </summary>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-        </member>
-        <member name="T:Microsoft.ML.TransformExtensionsCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of transform components
-            that manipulate columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TransformExtensionsCatalog.CopyColumns(Microsoft.ML.TransformsCatalog,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnCopyingEstimator"/>, which copies the data from the column specified in <paramref name="inputColumnName"/>
-            to a new column: <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be the same as that of the input column.</param>
-            <param name="inputColumnName">Name of the column to copy the data from.
-            This estimator operates over any data type.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CopyColumns](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CopyColumns.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TransformExtensionsCatalog.CopyColumns(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnCopyingEstimator"/>, which copies the data from the column specified in <see cref="P:Microsoft.ML.InputOutputColumnPair.InputColumnName" />
-            to a new column: <see cref="P:Microsoft.ML.InputOutputColumnPair.OutputColumnName" />.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">The pairs of input and output columns. This estimator operates over any data type.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CopyColumns](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CopyColumns.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TransformExtensionsCatalog.Concatenate(Microsoft.ML.TransformsCatalog,System.String,System.String[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnConcatenatingEstimator"/>, which concatenates one or more input columns into a new output column.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.
-            This column's data type will be a vector of the input columns' data type.</param>
-            <param name="inputColumnNames">Name of the columns to concatenate.
-            This estimator operates over any data type except key type.
-            If more that one column is provided, they must all have the same data type.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Concat](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Concatenate.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TransformExtensionsCatalog.DropColumns(Microsoft.ML.TransformsCatalog,System.String[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnSelectingEstimator"/>, which drops a given list of columns from an <see cref="T:Microsoft.ML.IDataView"/>. Any column not specified will
-            be maintained in the output.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columnNames">The array of column names to drop.
-            This estimator operates over columns of any data type.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Concat](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/DropColumns.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[],System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnSelectingEstimator"/>, which keeps a given list of columns in an <see cref="T:Microsoft.ML.IDataView"/> and drops the others.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columnNames">The array of column names to keep.</param>
-            <param name="keepHidden">If <see langword="true"/> will keep hidden columns and <see langword="false"/> will remove hidden columns.
-            Keeping hidden columns, instead of dropping them, is recommended when it is necessary to understand how the inputs of a pipeline
-            map to outputs of the pipeline, for debugging purposes.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SelectColumns](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/SelectColumns.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TransformExtensionsCatalog.SelectColumns(Microsoft.ML.TransformsCatalog,System.String[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnSelectingEstimator"/>, which keeps a given list of columns in an <see cref="T:Microsoft.ML.IDataView"/> and drops the others.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columnNames">The array of column names to keep.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SelectColumns](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/SelectColumns.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.TransformsCatalog">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of transform components.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TransformsCatalog.Categorical">
-            <summary>
-            The list of operations over categorical data.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TransformsCatalog.Conversion">
-            <summary>
-            The list of operations for data type conversion.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TransformsCatalog.Text">
-            <summary>
-            The list of operations for processing text data.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.TransformsCatalog.FeatureSelection">
-            <summary>
-            The list of operations for selecting features based on some criteria.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TransformsCatalog.CategoricalTransforms">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of categorical data transform components.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TransformsCatalog.ConversionTransforms">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of type conversion data transform components.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TransformsCatalog.TextTransforms">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of text data transform components.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms">
-            <summary>
-            Class used by <see cref="T:Microsoft.ML.MLContext"/> to create instances of feature selection transform components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ApiUtils.GeneratePeek``2(Microsoft.ML.Data.InternalSchemaDefinition.Column)">
-            <summary>
-            Each of the specialized 'peek' methods copies the appropriate field value of an instance of T
-            into the provided buffer. So, the call is 'peek(userObject, ref destination)' and the logic is
-            indentical to 'destination = userObject.##FIELD##', where ##FIELD## is defined per peek method.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ApiUtils.GeneratePoke``2(Microsoft.ML.Data.InternalSchemaDefinition.Column)">
-            <summary>
-            Each of the specialized 'poke' methods sets the appropriate field value of an instance of T
-            to the provided value. So, the call is 'peek(userObject, providedValue)' and the logic is
-            identical to 'userObject.##FIELD## = providedValue', where ##FIELD## is defined per poke method.
-            </summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.DataView.dll b/W/Debug_Folder/Microsoft.ML.DataView.dll
deleted file mode 100644
index 7ab1ab1e1..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.DataView.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.DataView.xml b/W/Debug_Folder/Microsoft.ML.DataView.xml
deleted file mode 100644
index d5b8fae8b..000000000
--- a/W/Debug_Folder/Microsoft.ML.DataView.xml
+++ /dev/null
@@ -1,1156 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.DataView</name>
-    </assembly>
-    <members>
-        <member name="M:Microsoft.ML.Internal.Utilities.ArrayUtils.TryFindIndexSorted(System.Int32[],System.Int32,System.Int32,System.Int32,System.Int32@)">
-            <summary>
-            Akin to <c>FindIndexSorted</c>, except stores the found index in the output
-            <c>index</c> parameter, and returns whether that index is a valid index
-            pointing to a value equal to the input parameter <c>value</c>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ArrayUtils.FindIndexSorted(System.Int32[],System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Internal.Utilities.ArrayUtils.FindIndexSorted(System.ReadOnlySpan{System.Int32},System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Assumes input is sorted and finds value using BinarySearch.
-            If value is not found, returns the logical index of 'value' in the sorted list i.e index of the first element greater than value.
-            In case of duplicates it returns the index of the first one.
-            It guarantees that items before the returned index are &lt; value, while those at and after the returned index are &gt;= value.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewRowId">
-            <summary>
-            A structure serving as the identifier of a row of <see cref="T:Microsoft.ML.IDataView"/>.
-            For datasets with millions of records, those IDs need to be unique, therefore the need for such a large structure to hold the values.
-            Those Ids are derived from other Ids of the previous components of the pipelines, and dividing the structure in two: high order and low order of bits,
-            and reduces the changes of those collisions even further.
-            </summary>
-            <seealso cref="M:Microsoft.ML.DataViewRow.GetIdGetter"/>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewRowId.Low">
-            <summary>The low order bits. Corresponds to H1 in the Murmur algorithms.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.DataViewRowId.High">
-            <summary> The high order bits. Corresponds to H2 in the Murmur algorithms.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewRowId.#ctor(System.UInt64,System.UInt64)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Data.DataViewRowId"/>
-            </summary>
-            <param name="low">The low order <langword>ulong</langword>.</param>
-            <param name="high">The high order <langword>ulong</langword>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewRowId.Fork">
-            <summary>
-            An operation that treats the value as an unmixed Murmur3 128-bit hash state,
-            and returns the hash state that would result if we hashed an addition 16 bytes
-            that were all zeros, except for the last bit which is one.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewRowId.Next">
-            <summary>
-            An operation that treats the value as an unmixed Murmur3 128-bit hash state,
-            and returns the hash state that would result if we hashed an addition 16 bytes
-            that were all zeros.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewRowId.Combine(Microsoft.ML.Data.DataViewRowId)">
-            <summary>
-            An operation that treats the value as an unmixed Murmur3 128-bit hash state,
-            and returns the hash state that would result if we took <paramref name="other"/>,
-            scrambled it using <see cref="M:Microsoft.ML.Data.DataViewRowId.Fork"/>, then hashed the result of that.
-            </summary>
-            <param name="other"></param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewType">
-            <summary>
-            This is the abstract base class for all types in the <see cref="T:Microsoft.ML.IDataView"/> type system.
-            </summary>
-            <remarks>
-            Those that wish to extend the <see cref="T:Microsoft.ML.IDataView"/> type system should derive from one of
-            the more specific abstract classes <see cref="T:Microsoft.ML.Data.StructuredDataViewType"/> or <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/>.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewType.#ctor(System.Type)">
-            <summary>
-            Constructor for extension types, which must be either <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/> or <see cref="T:Microsoft.ML.Data.StructuredDataViewType"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DataViewType.RawType">
-            <summary>
-            The raw <see cref="T:System.Type"/> for this <see cref="T:Microsoft.ML.Data.DataViewType"/>. Note that this is the raw representation type
-            and not the complete information content of the <see cref="T:Microsoft.ML.Data.DataViewType"/>.
-            </summary>
-            <remarks>
-            Code should not assume that a <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/> uniquely identifiers a <see cref="T:Microsoft.ML.Data.DataViewType"/>.
-            For example, most practical instances of ML.NET's KeyType and <see cref="P:Microsoft.ML.Data.NumberDataViewType.UInt32"/> will have a
-            <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/> of <see cref="T:System.UInt32"/>, but both are very different in the types of information conveyed in that number.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewType.Equals(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Return <see langword="true"/> if <see langword="this"/> is equivalent to <paramref name="other"/> and <see langword="false"/> otherwise.
-            </summary>
-            <param name="other">Another <see cref="T:Microsoft.ML.Data.DataViewType"/> to be compared with <see langword="this"/>.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.StructuredDataViewType">
-             <summary>
-             The abstract base class for all non-primitive types.
-             </summary>
-             <remarks>
-             This class stands in constrast to <see cref="T:Microsoft.ML.Data.PrimitiveDataViewType"/>. As that class is defined
-             to encapsulate cases where instances of the representation type can be freely copied without concerns
-             about ownership, mutability, or dispoal, this is defined for those types where these factors become concerns.
-            
-             To take the most conspicuous example, <see cref="T:Microsoft.ML.Data.VectorDataViewType"/> is a structure type,
-             which through the buffer sharing mechanisms of its <see cref="T:Microsoft.ML.Data.VBuffer`1"/> representation type,
-             does not have assignment as sufficient to create an independent copy.
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.PrimitiveDataViewType">
-            <summary>
-            The abstract base class for all primitive types. Values of these types can be freely copied
-            without concern for ownership, mutation, or disposing.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TextDataViewType">
-            <summary>
-            The standard text type. This has representation type of <see cref="T:System.ReadOnlyMemory`1"/> with type parameter <see cref="T:System.Char"/>.
-            Note this can have only one possible value, accessible by the singleton static property <see cref="P:Microsoft.ML.Data.TextDataViewType.Instance"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.TextDataViewType.Instance">
-            <summary>
-            The singleton instance of this type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.NumberDataViewType">
-            <summary>
-            The standard number type. This class is not directly instantiable. All allowed instances of this
-            type are singletons, and are accessible as static properties on this class.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.SByte">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.SByte"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.Byte">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.Byte"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.Int16">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.Int16"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.UInt16">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.UInt16"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.Int32">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.Int32"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.UInt32">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.UInt32"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.Int64">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.Int64"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.UInt64">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.UInt64"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.Single">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.Single"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.NumberDataViewType.Double">
-            <summary>
-            The singleton instance of the <see cref="T:Microsoft.ML.Data.NumberDataViewType"/> with representation type of <see cref="T:System.Double"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.RowIdDataViewType">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.RowIdDataViewType"/> type. This has representation type of <see cref="T:Microsoft.ML.Data.DataViewRowId"/>.
-            Note this can have only one possible value, accessible by the singleton static property <see cref="P:Microsoft.ML.Data.RowIdDataViewType.Instance"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RowIdDataViewType.Instance">
-            <summary>
-            The singleton instance of this type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.BooleanDataViewType">
-            <summary>
-            The standard boolean type. This has representation type of <see cref="T:System.Boolean"/>.
-            Note this can have only one possible value, accessible by the singleton static property <see cref="P:Microsoft.ML.Data.BooleanDataViewType.Instance"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BooleanDataViewType.Instance">
-            <summary>
-            The singleton instance of this type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DateTimeDataViewType">
-            <summary>
-            The standard date time type. This has representation type of <see cref="T:System.DateTime"/>.
-            Note this can have only one possible value, accessible by the singleton static property <see cref="P:Microsoft.ML.Data.DateTimeDataViewType.Instance"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DateTimeDataViewType.Instance">
-            <summary>
-            The singleton instance of this type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DateTimeOffsetDataViewType">
-            <summary>
-            The standard date time offset type. This has representation type of <see cref="T:System.DateTimeOffset"/>.
-            Note this can have only one possible value, accessible by the singleton static property <see cref="P:Microsoft.ML.Data.DateTimeOffsetDataViewType.Instance"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.DateTimeOffsetDataViewType.Instance">
-            <summary>
-            The singleton instance of this type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.TimeSpanDataViewType">
-            <summary>
-            The standard timespan type. This has representation type of <see cref="T:System.TimeSpan"/>.
-            Note this can have only one possible value, accessible by the singleton static property <see cref="P:Microsoft.ML.Data.TimeSpanDataViewType.Instance"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.TimeSpanDataViewType.Instance">
-            <summary>
-            The singleton instance of this type.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.DataViewTypeAttribute">
-            <summary>
-            <see cref="T:Microsoft.ML.Data.DataViewTypeAttribute"/> should be used to decorated class properties and fields, if that class' instances will be loaded as ML.NET <see cref="T:Microsoft.ML.IDataView"/>.
-            The function <see cref="M:Microsoft.ML.Data.DataViewTypeAttribute.Register"/> will be called to register a <see cref="T:Microsoft.ML.Data.DataViewType"/> for a <see cref="T:System.Type"/> with its <see cref="T:System.Attribute"/>s.
-            Whenever a value typed to the registered <see cref="T:System.Type"/> and its <see cref="T:System.Attribute"/>s, that value's type (i.e., a <see cref="P:Microsoft.ML.DataViewSchema.Column.Type"/>)
-            in <see cref="T:Microsoft.ML.IDataView"/> would be the associated <see cref="T:Microsoft.ML.Data.DataViewType"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeAttribute.Register">
-            <summary>
-            A function implicitly invoked by ML.NET when processing a custom type. It binds a DataViewType to a custom type plus its attributes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.DataViewTypeAttribute.Equals(Microsoft.ML.Data.DataViewTypeAttribute)">
-            <summary>
-            Return <see langword="true"/> if <see langword="this"/> is equivalent to <paramref name="other"/> and <see langword="false"/> otherwise.
-            </summary>
-            <param name="other">Another <see cref="T:Microsoft.ML.Data.DataViewTypeAttribute"/> to be compared with <see langword="this"/>.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.KeyDataViewType">
-             <summary>
-             Type representing categorical or enumerated values, most commonly used for
-             the values of labels in multiclass classification models.
-             </summary>
-             <remarks>
-             The underlying .NET type is one of the unsigned integer types. The default is
-             <see cref="T:System.UInt32"/>, but it can also be <see cref="T:System.Byte"/>,
-             <see cref="T:System.UInt16"/>, or <see cref="T:System.UInt64"/>.
-             Despite keys being numerical types, the information is not inherently numeric,
-             so typically, arithmetic is not meaningful.
-            
-             Missing values are mapped to 0.
-            
-             The first non-missing value of the set is always <c>1</c>.
-            
-             The other values range up to the value of <see cref="P:Microsoft.ML.Data.KeyDataViewType.Count"/>.
-            
-             For example, if you have a key value with a <see cref="P:Microsoft.ML.Data.KeyDataViewType.Count"/> of 3, then
-             the <see cref="T:System.UInt32"/> value <c>0</c> corresponds to missing key values, and
-             one of the values of <c>1</c>, <c>2</c>, or <c>3</c> is of the valid values,
-             and no other values are used.
-             </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.#ctor(System.Type,System.UInt64)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> class.
-            </summary>
-            <param name="type">
-            The underlying representation type. Should be one of <see cref="T:System.Byte"/>, <see cref="T:System.UInt16"/>,
-            <see cref="T:System.UInt32"/> (the most common choice), or <see cref="T:System.UInt64"/>.
-            </param>
-            <param name="count">
-            The cardinality of the underlying set. This must not exceed the associated maximum value of the
-            representation type. For example, if <paramref name="type"/> is <see cref="T:System.UInt32"/>, then this must not
-            exceed <see cref="F:System.UInt32.MaxValue"/>.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.#ctor(System.Type,System.Int32)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> class. This differs from the hypothetically more general
-            <see cref="M:Microsoft.ML.Data.KeyDataViewType.#ctor(System.Type,System.UInt64)"/> constructor by taking an <see cref="T:System.Int32"/> for
-            <paramref name="count"/>, to more naturally facilitate the most common case that the key value is being used
-            as an enumeration over an array or list of some form.
-            </summary>
-            <param name="type">
-            The underlying representation type. Should be one of <see cref="T:System.Byte"/>, <see cref="T:System.UInt16"/>,
-            <see cref="T:System.UInt32"/> (the most common choice), or <see cref="T:System.UInt64"/>.
-            </param>
-            <param name="count">
-            The cardinality of the underlying set. This must not exceed the associated maximum value of the
-            representation type. For example, if <paramref name="type"/> is <see cref="T:System.UInt32"/>, then this must not
-            exceed <see cref="F:System.UInt32.MaxValue"/>.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.IsValidDataType(System.Type)">
-            <summary>
-            Returns true iff the given type is valid for a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>. The valid ones are
-            <see cref="T:System.Byte"/>, <see cref="T:System.UInt16"/>, <see cref="T:System.UInt32"/>, and <see cref="T:System.UInt64"/>, that is, the unsigned
-            integer types.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.KeyDataViewType.Count">
-            <summary>
-            <see cref="P:Microsoft.ML.Data.KeyDataViewType.Count"/> is the cardinality of the <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.
-            </summary>
-            <remarks>
-            The typical legal values for data of this type ranges from the missing value of <c>0</c>, and non-missing
-            values ranging from to <c>1</c> through <see cref="P:Microsoft.ML.Data.KeyDataViewType.Count"/>, inclusive, being the enumeration into whatever
-            set the key values are enumerated over.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.Equals(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Determine if this <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> object is equal to another <see cref="T:Microsoft.ML.Data.DataViewType"/> instance.
-            Checks if the other item is the type of <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>, if the <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/>
-            is the same, and if the <see cref="P:Microsoft.ML.Data.KeyDataViewType.Count"/> is the same.
-            </summary>
-            <param name="other">The other object to compare against.</param>
-            <returns><see langword="true" /> if both objects are equal, otherwise <see langword="false"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.Equals(System.Object)">
-            <summary>
-            Determine if a <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> instance is equal to another <see cref="T:Microsoft.ML.Data.KeyDataViewType"/> instance.
-            Checks if any object is the type of <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>, if the <see cref="P:Microsoft.ML.Data.DataViewType.RawType"/>
-            is the same, and if the <see cref="P:Microsoft.ML.Data.KeyDataViewType.Count"/> is the same.
-            </summary>
-            <param name="other">The other object to compare against.</param>
-            <returns><see langword="true" /> if both objects are equal, otherwise <see langword="false"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.GetHashCode">
-            <summary>
-            Retrieves the hash code.
-            </summary>
-            <returns>An integer representing the hash code.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.KeyDataViewType.ToString">
-            <summary>
-            The string representation of the <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.
-            </summary>
-            <returns>A formatted string.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Data.VBuffer`1">
-             <summary>
-             A buffer that supports both dense and sparse representations. This is the representation type for all
-             <see cref="T:Microsoft.ML.Data.VectorDataViewType"/> instances. The explicitly defined values of this vector are exposed through
-             <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/> and, if not dense, <see cref="M:Microsoft.ML.Data.VBuffer`1.GetIndices"/>.
-             </summary>
-             <remarks>
-             This structure is by itself immutable, but to enable buffer editing including re-use of the internal buffers,
-             a mutable variant <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/> can be accessed through <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.
-            
-             Throughout the code, we make the assumption that a sparse <see cref="T:Microsoft.ML.Data.VBuffer`1"/> is logically equivalent to
-             a dense <see cref="T:Microsoft.ML.Data.VBuffer`1"/> with the default value for <typeparamref name="T"/> filling in the default values.
-             </remarks>
-             <typeparam name="T">The type of the vector. There are no compile-time restrictions on what this could be, but
-             this code and practically all code that uses <see cref="T:Microsoft.ML.Data.VBuffer`1"/> makes the assumption that an assignment of
-             a value is sufficient to make a completely independent copy of it. So, for example, this means that a buffer of
-             buffers is not possible. But, things like <see cref="T:System.Int32"/>, <see cref="T:System.Single"/>, and <see
-             cref="T:System.ReadOnlyMemory`1"/>, are totally fine.</typeparam>
-        </member>
-        <member name="F:Microsoft.ML.Data.VBuffer`1._values">
-            <summary>
-            The internal re-usable array of values.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.VBuffer`1._indices">
-            <summary>
-            The internal re-usable array of indices.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.VBuffer`1._count">
-            <summary>
-            The number of items explicitly represented. This equals <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/> when the representation
-            is dense and less than <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/> when sparse.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.VBuffer`1.Length">
-            <summary>
-            The logical length of the buffer.
-            </summary>
-            <remarks>
-            Note that if this vector <see cref="P:Microsoft.ML.Data.VBuffer`1.IsDense"/>, then this will be the same as the <see cref="P:System.ReadOnlySpan`1.Length"/>
-            as returned from <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/>, since all values are explicitly represented in a dense representation. If
-            this is a sparse representation, then that <see cref="P:System.ReadOnlySpan`1.Length"/> will be somewhat shorter, as this
-            field contains the number of both explicit and implicit entries.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.GetValues">
-            <summary>
-            The explicitly represented values. When this <see cref="P:Microsoft.ML.Data.VBuffer`1.IsDense"/>, the <see cref="P:System.ReadOnlySpan`1.Length"/>
-            of the returned value will equal <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>, and otherwise will have length less than
-            <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.GetIndices">
-            <summary>
-            The indices. For a dense representation, this array is not used, and will return the default "empty" span.
-            For a sparse representation it is parallel to that returned from <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/> and specifies the
-            logical indices for the corresponding values, in increasing order, between 0 inclusive and
-            <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/> exclusive, corresponding to all explicitly defined values. All values at unspecified
-            indices should be treated as being implicitly defined with the default value of <typeparamref name="T"/>.
-            </summary>
-            <remarks>
-            To give one example, if <see cref="M:Microsoft.ML.Data.VBuffer`1.GetIndices"/> returns [3, 5] and <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/>() produces [98, 76],
-            this <see cref="T:Microsoft.ML.Data.VBuffer`1"/> stands for a vector with non-zero values 98 and 76 respectively at the 4th and 6th
-            coordinates, and zeros at all other indices. (Zero, because that is the default value for all .NET numeric
-            types.)
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Data.VBuffer`1.IsDense">
-            <summary>
-            Gets a value indicating whether every logical element is explicitly represented in the buffer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.#ctor(System.Int32,`0[],System.Int32[])">
-            <summary>
-            Construct a dense representation. The <paramref name="indices"/> array is often unspecified, but if
-            specified it should be considered a buffer to be held on to, to be possibly used.
-            </summary>
-            <param name="length">The logical length of the resulting instance.</param>
-            <param name="values">
-            The values to be used. This must be at least as long as <paramref name="length"/>. If
-            <paramref name="length"/> is 0, it is legal for this to be <see langword="null"/>. The constructed buffer
-            takes ownership of this array.
-            </param>
-            <param name="indices">
-            The internal indices buffer. Because this constructor is for dense representations
-            this will not be immediately useful, but it does provide a buffer to be potentially reused to avoid
-            allocation. This is mostly non-null in situations where you want to produce a dense
-            <see cref="T:Microsoft.ML.Data.VBuffer`1"/>, but you happen to have an indices array "left over" and you don't want to
-            needlessly lose.
-            </param>
-            <remarks>
-            The resulting structure takes ownership of the passed in arrays, so they should not be used for
-            other purposes in the future.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.#ctor(System.Int32,System.Int32,`0[],System.Int32[])">
-            <summary>
-            Construct a possibly sparse vector representation.
-            </summary>
-            <param name="length">The length of the constructed buffer.</param>
-            <param name="count">The count of explicit entries. This must be between 0 and <paramref name="length"/>, both
-            inclusive. If it equals <paramref name="length"/> the result is a dense vector, and if less this will be a
-            sparse vector.</param>
-            <param name="values">
-            The values to be used. This must be at least as long as <paramref name="count"/>. If
-            <paramref name="count"/> is 0, it is legal for this to be <see langword="null"/>.
-            </param>
-            <param name="indices">The indices to be used. If we are constructing a dense representation, or
-            <paramref name="count"/> is 0, this can be <see langword="null"/>. Otherwise, this must be at least as long
-            as <paramref name="count"/>.</param>
-            <remarks>The resulting structure takes ownership of the passed in arrays, so they should not be used for
-            other purposes in the future.</remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.CopyToDense(Microsoft.ML.Data.VBuffer{`0}@)">
-            <summary>
-            Copy from this buffer to the given destination, forcing a dense representation.
-            </summary>
-            <param name="destination">The destination buffer. After the copy, this will have <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>
-            of <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.CopyTo(Microsoft.ML.Data.VBuffer{`0}@)">
-            <summary>
-            Copy from this buffer to the given destination.
-            </summary>
-            <param name="destination">The destination buffer. After the copy, this will have <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>
-            of <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.CopyTo(Microsoft.ML.Data.VBuffer{`0}@,System.Int32,System.Int32)">
-            <summary>
-            Copy a range of values from this buffer to the given destination.
-            </summary>
-            <param name="destination">The destination buffer. After the copy, this will have <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>
-            of <paramref name="length"/>.</param>
-            <param name="sourceIndex">The minimum inclusive index to start copying from this vector.</param>
-            <param name="length">The logical number of values to copy from this vector into <paramref name="destination"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.CopyTo(System.Span{`0})">
-            <summary>
-            Copy from this buffer to the given destination span. This "densifies."
-            </summary>
-            <param name="destination">The destination buffer. This <see cref="P:System.Span`1.Length"/> must have least <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.CopyTo(System.Span{`0},System.Int32,`0)">
-            <summary>
-            Copy from this buffer to the given destination span, starting at the specified index. This "densifies."
-            </summary>
-            <param name="destination">The destination buffer. This <see cref="P:System.Span`1.Length"/> must be at least <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>
-            plus <paramref name="destinationIndex"/>.</param>
-            <param name="destinationIndex">The starting index of <paramref name="destination"/> at which to start copying.</param>
-            <param name="defaultValue">The value to fill in for the implicit sparse entries. This is a potential exception to
-            general expectation of sparse <see cref="T:Microsoft.ML.Data.VBuffer`1"/> that the implicit sparse entries have the default value
-            of <typeparamref name="T"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.Copy(`0[],System.Int32,Microsoft.ML.Data.VBuffer{`0}@,System.Int32)">
-            <summary>
-            Copy from a section of a source array to the given destination.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.Items(System.Boolean)">
-            <summary>
-            Returns the joint list of all index/value pairs.
-            </summary>
-            <param name="all">
-            If <see langword="true"/> all pairs, even those implicit values of a sparse representation,
-            will be returned, with the implicit values having the default value, as is appropriate. If left
-            <see langword="false"/> then only explicitly defined values are returned.
-            </param>
-            <returns>The index/value pairs.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.DenseValues">
-            <summary>
-            Returns an enumerable with <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/> items, representing the values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.GetItemOrDefault(System.Int32,`0@)">
-             <summary>
-             Gets the item stored in this structure. In the case of a dense vector this is a simple lookup.
-             In the case of a sparse vector, it will try to find the entry with that index, and set <paramref name="destination"/>
-             to that stored value, or if no such value was found, assign it the default value.
-             </summary>
-             <remarks>
-             In the case where <see cref="P:Microsoft.ML.Data.VBuffer`1.IsDense"/> is <see langword="true"/>, this will take constant time since it an
-             directly lookup. For sparse vectors, however, because it must perform a bisection search on the indices to
-             find the appropriate value, that takes logarithmic time with respect to the number of explicitly represented
-             items, which is to say, the <see cref="P:System.ReadOnlySpan`1.Length"/> of the return value of <see cref="M:Microsoft.ML.Data.VBuffer`1.GetIndices"/>.
-            
-             For that reason, a single completely isolated lookup, since constructing <see cref="T:System.ReadOnlySpan`1"/> as
-             <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/> does is not a free operation, it may be more efficient to use this method. However
-             if one is doing a more involved computation involving many operations, it may be faster to utilize
-             <see cref="M:Microsoft.ML.Data.VBuffer`1.GetValues"/> and, if appropriate, <see cref="M:Microsoft.ML.Data.VBuffer`1.GetIndices"/> directly.
-             </remarks>
-             <param name="index">The index, which must be a non-negative number less than <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>.</param>
-             <param name="destination">The value stored at that index, or if this is a sparse vector where this is an implicit
-             entry, the default value for <typeparamref name="T"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.GetItemOrDefault(System.Int32)">
-            <summary>
-            A variant of <see cref="M:Microsoft.ML.Data.VBuffer`1.GetItemOrDefault(System.Int32,`0@)"/> that returns the value instead of passing it
-            back using a reference parameter.
-            </summary>
-            <param name="index">The index, which must be a non-negative number less than <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>.</param>
-            <returns>The value stored at that index, or if this is a sparse vector where this is an implicit
-            entry, the default value for <typeparamref name="T"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBuffer`1.Items(`0[],System.Int32[],System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            A helper method that gives us an iterable over the items given the fields from a <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.
-            Note that we have this in a separate utility class, rather than in its more natural location of
-            <see cref="T:Microsoft.ML.Data.VBuffer`1"/> itself, due to a bug in the C++/CLI compiler. (DevDiv 1097919:
-            [C++/CLI] Nested generic types are not correctly imported from metadata). So, if we want to use
-            <see cref="T:Microsoft.ML.Data.VBuffer`1"/> in C++/CLI projects, we cannot have a generic struct with a nested class
-            that has the outer struct type as a field.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.VBufferEditor">
-            <summary>
-            Various methods for creating <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/> instances.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBufferEditor.CreateFromBuffer``1(Microsoft.ML.Data.VBuffer{``0}@)">
-            <summary>
-            Creates a <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/> with the same shape
-            (length and density) as the <paramref name="destination"/>.
-            </summary>
-            <param name="destination">The destination buffer. Note that the resulting <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/> is assumed to take ownership
-            of this passed in object, and so whatever <see cref="T:Microsoft.ML.Data.VBuffer`1"/> was passed in as this parameter should not be used again, since its
-            underlying buffers are being potentially reused.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBufferEditor.Create``1(Microsoft.ML.Data.VBuffer{``0}@,System.Int32,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Boolean,System.Boolean)">
-            <summary>
-            Creates a <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/> using
-            <paramref name="destination"/>'s values and indices buffers.
-            </summary>
-            <param name="destination">
-            The destination buffer. Note that the resulting <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/> is assumed to take ownership
-            of this passed in object, and so whatever <see cref="T:Microsoft.ML.Data.VBuffer`1"/> was passed in as this parameter should not be used again, since its
-            underlying buffers are being potentially reused.
-            </param>
-            <param name="newLogicalLength">
-            The logical length of the new buffer being edited.
-            </param>
-            <param name="valuesCount">
-            The optional number of physical values to be represented in the buffer.
-            The buffer will be dense if <paramref name="valuesCount"/> is omitted.
-            </param>
-            <param name="maxValuesCapacity">
-            The optional number of maximum physical values to represent in the buffer.
-            The buffer won't grow beyond this maximum size.
-            </param>
-            <param name="keepOldOnResize">
-            True means that the old buffer values and indices are preserved, if possible (Array.Resize is called).
-            False means that a new array will be allocated, if necessary.
-            </param>
-            <param name="requireIndicesOnDense">
-            True means to ensure the Indices buffer is available, even if the buffer will be dense.
-            </param>
-        </member>
-        <member name="T:Microsoft.ML.Data.VBufferEditor`1">
-            <summary>
-            An object capable of editing a <see cref="T:Microsoft.ML.Data.VBuffer`1"/> by filling out
-            <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Values"/> (and <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Indices"/> if the buffer is not dense).
-            </summary>
-            <remarks>
-            The <see cref="T:Microsoft.ML.Data.VBuffer`1"/> structure by itself is immutable. However, the purpose of <see cref="T:Microsoft.ML.Data.VBuffer`1"/>
-            is to enable buffer re-use we can edit them through this structure, as created through
-            <see cref="M:Microsoft.ML.Data.VBufferEditor.Create``1(Microsoft.ML.Data.VBuffer{``0}@,System.Int32,System.Nullable{System.Int32},System.Nullable{System.Int32},System.Boolean,System.Boolean)"/> or
-            <see cref="M:Microsoft.ML.Data.VBufferEditor.CreateFromBuffer``1(Microsoft.ML.Data.VBuffer{``0}@)"/>.
-            </remarks>
-        </member>
-        <member name="F:Microsoft.ML.Data.VBufferEditor`1.Values">
-            <summary>
-            The mutable span of values.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Data.VBufferEditor`1.Indices">
-            <summary>
-            The mutable span of indices.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.VBufferEditor`1.CreatedNewValues">
-            <summary>
-            Gets a value indicating whether a new <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Values"/> array was allocated.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.VBufferEditor`1.CreatedNewIndices">
-            <summary>
-            Gets a value indicating whether a new <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Indices"/> array was allocated.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBufferEditor`1.Commit">
-            <summary>
-            Commits the edits and creates a new <see cref="T:Microsoft.ML.Data.VBuffer`1"/> using the current <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Values"/> and <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Indices"/>.
-            Note that this structure and its properties should not be used once this is called.
-            </summary>
-            <returns>The newly created <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Data.VBufferEditor`1.CommitTruncated(System.Int32)">
-            <summary>
-            Commits the edits and creates a new <see cref="T:Microsoft.ML.Data.VBuffer`1"/> using
-            the current Values and Indices, while allowing to truncate the length
-            of <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Values"/> and, if sparse, <see cref="F:Microsoft.ML.Data.VBufferEditor`1.Indices"/>.
-            Like <see cref="M:Microsoft.ML.Data.VBufferEditor`1.Commit"/>, this structure and its properties should not be used once this is called.
-            </summary>
-            <param name="physicalValuesCount">
-            The new number of physical values to be represented in the created buffer.
-            </param>
-            <returns>
-            The newly created <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.
-            </returns>
-            <remarks>
-            This method allows to modify the length of the explicitly defined values.
-            This is useful in sparse situations where the <see cref="T:Microsoft.ML.Data.VBufferEditor`1"/>
-            was created with a larger physical value count than was needed
-            because the final value count was not known at creation time.
-            </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.VectorDataViewType">
-            <summary>
-            The standard vector type. The representation type of this is <see cref="T:Microsoft.ML.Data.VBuffer`1"/>,
-            where the type parameter is in <see cref="P:Microsoft.ML.Data.VectorDataViewType.ItemType"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.VectorDataViewType.Dimensions">
-            <summary>
-            The dimensions. This will always have at least one item. All values will be non-negative.
-            As with <see cref="P:Microsoft.ML.Data.VectorDataViewType.Size"/>, a zero value indicates that the vector type is considered to have
-            unknown length along that dimension.
-            </summary>
-            <remarks>
-            In the case where this is a multi-dimensional type, that is, a situation where <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>
-            has length greater than one, since <see cref="T:Microsoft.ML.Data.VBuffer`1"/> itself is a single dimensional structure,
-            we must clarify what we mean. The indices represent a "flattened" view of the coordinates implicit in the
-            dimensions. We consider that the last dimension is the most "minor" index. In the case where <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>
-            has length <c>2</c>, this is commonly referred to as row-major order. So, if you hypothetically had
-            dimensions of <c>{ 5, 2 }</c>, then the <see cref="T:Microsoft.ML.Data.VBuffer`1"/> values would be all of length <c>10</c>,
-            and the flattened indices <c>0, 1, 2, 3, 4, ...</c> would correspond to "coordinates" of
-            <c>(0, 0), (0, 1), (1, 0), (1, 1), (2, 0), ...</c>, respectively.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Data.VectorDataViewType.#ctor(Microsoft.ML.Data.PrimitiveDataViewType,System.Int32)">
-            <summary>
-            Constructs a new single-dimensional vector type.
-            </summary>
-            <param name="itemType">The type of the items contained in the vector.</param>
-            <param name="size">The size of the single dimension.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VectorDataViewType.#ctor(Microsoft.ML.Data.PrimitiveDataViewType,System.Int32[])">
-            <summary>
-            Constructs a potentially multi-dimensional vector type.
-            </summary>
-            <param name="itemType">The type of the items contained in the vector.</param>
-            <param name="dimensions">The dimensions. Note that, like <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>, must be non-empty, with all
-            non-negative values. Also, because <see cref="P:Microsoft.ML.Data.VectorDataViewType.Size"/> is the product of <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>, the result of
-            multiplying all these values together must not overflow <see cref="T:System.Int32"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.VectorDataViewType.#ctor(Microsoft.ML.Data.PrimitiveDataViewType,System.Collections.Immutable.ImmutableArray{System.Int32})">
-            <summary>
-            Constructs a potentially multi-dimensional vector type.
-            </summary>
-            <param name="itemType">The type of the items contained in the vector.</param>
-            <param name="dimensions">The dimensions. Note that, like <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>, must be non-empty, with all
-            non-negative values. Also, because <see cref="P:Microsoft.ML.Data.VectorDataViewType.Size"/> is the product of <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>, the result of
-            multiplying all these values together must not overflow <see cref="T:System.Int32"/>.</param>
-        </member>
-        <member name="P:Microsoft.ML.Data.VectorDataViewType.IsKnownSize">
-            <summary>
-            Whether this is a vector type with known size.
-            Equivalent to <c><see cref="P:Microsoft.ML.Data.VectorDataViewType.Size"/> &gt; 0</c>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.VectorDataViewType.ItemType">
-            <summary>
-            The type of the items stored as values in vectors of this type.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.VectorDataViewType.Size">
-            <summary>
-            The size of the vector. A value of zero means it is a vector whose size is unknown.
-            A vector whose size is known should correspond to values that always have the same <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/>,
-            whereas one whose size is unknown may have values whose <see cref="F:Microsoft.ML.Data.VBuffer`1.Length"/> varies from record to record.
-            Note that this is always the product of the elements in <see cref="P:Microsoft.ML.Data.VectorDataViewType.Dimensions"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewSchema">
-            <summary>
-            Represents the schema of an <see cref="T:Microsoft.ML.IDataView"/> or an <see cref="T:Microsoft.ML.DataViewRow"/>.
-            The schema is a collection of <see cref="T:Microsoft.ML.DataViewSchema.Column"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Count">
-            <summary>
-            Number of columns in the schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Item(System.String)">
-            <summary>
-            Get the column by name. Throws an exception if such column does not exist.
-            Note that if multiple columns exist with the same name, the one with the biggest index is returned.
-            The other columns are considered 'hidden', and only accessible by their index.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Item(System.Int32)">
-            <summary>
-            Get the column by index.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.GetColumnOrNull(System.String)">
-            <summary>
-            Get the column by name, or <c>null</c> if the column is not present.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewSchema.Column">
-            <summary>
-            This class describes one column in the particular schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Column.Name">
-            <summary>
-            The name of the column.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Column.Index">
-            <summary>
-            The column's index in the schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Column.IsHidden">
-            <summary>
-            Whether this column is hidden (accessible only by index).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Column.Type">
-            <summary>
-            The type of the column.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Column.Annotations">
-            <summary>
-            The annotations of the column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewSchema.DetachedColumn">
-            <summary>
-            This class represents the schema of one column of a data view, without an attachment to a particular <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.DetachedColumn.Name">
-            <summary>
-            The name of the column.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.DetachedColumn.Type">
-            <summary>
-            The type of the column.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.DetachedColumn.Annotations">
-            <summary>
-            The annotations associated with the column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.DetachedColumn.#ctor(System.String,Microsoft.ML.Data.DataViewType,Microsoft.ML.DataViewSchema.Annotations)">
-            <summary>
-            Creates an instance of a <see cref="T:Microsoft.ML.DataViewSchema.DetachedColumn"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.DetachedColumn.#ctor(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Create an instance of <see cref="T:Microsoft.ML.DataViewSchema.DetachedColumn"/> from an existing schema's column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewSchema.Annotations">
-            <summary>
-            The schema annotations of one <see cref="T:Microsoft.ML.DataViewSchema.Column"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.DataViewSchema.Annotations._getters">
-            <summary>
-            Annotation getter delegates. Useful to construct annotations out of other annotations.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewSchema.Annotations.Schema">
-            <summary>
-            The schema of the annotations row. It is different from the schema that the column belongs to.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.#ctor(Microsoft.ML.DataViewSchema,System.Delegate[])">
-            <summary>
-            Create an annotations row by supplying the schema columns and the getter delegates for all the values.
-            </summary>
-            <remarks>
-            Note: The <paramref name="getters"/> array is owned by this <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/> instance.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Get a getter delegate for one value of the annotations row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.GetValue``1(System.String,``0@)">
-            <summary>
-            Get the value of an annotation, by annotation kind (aka column name).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewSchema.Annotations.Builder">
-            <summary>
-            Class containing operations to build an <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.Builder.Add(Microsoft.ML.DataViewSchema.Annotations,System.Func{System.String,System.Boolean})">
-            <summary>
-            Add some columns from <paramref name="annotations"/> into our new annotations, by applying <paramref name="selector"/>
-            to all the names.
-            </summary>
-            <param name="annotations">The annotations row to take values from.</param>
-            <param name="selector">The predicate describing which annotation columns to keep.</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.Builder.Add``1(System.String,Microsoft.ML.Data.DataViewType,Microsoft.ML.ValueGetter{``0},Microsoft.ML.DataViewSchema.Annotations)">
-            <summary>
-            Add one annotation column, strongly-typed version.
-            </summary>
-            <typeparam name="TValue">The type of the value.</typeparam>
-            <param name="name">The annotation name.</param>
-            <param name="type">The annotation type.</param>
-            <param name="getter">The getter delegate.</param>
-            <param name="annotations">Annotations of the input column. Note that annotations on an annotation column is somewhat rare
-            except for certain types (for example, slot names for a vector, key values for something of key type).</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.Builder.Add(System.String,Microsoft.ML.Data.DataViewType,System.Delegate,Microsoft.ML.DataViewSchema.Annotations)">
-            <summary>
-            Add one annotation column, weakly-typed version.
-            </summary>
-            <param name="name">The annotation name.</param>
-            <param name="type">The annotation type.</param>
-            <param name="getter">The getter delegate that provides the value. Note that the type of the getter is still checked
-            inside this method.</param>
-            <param name="annotations">Annotations of the input column. Note that annotations on an annotation column is somewhat rare
-            except for certain types (for example, slot names for a vector, key values for something of key type).</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.Builder.AddPrimitiveValue``1(System.String,Microsoft.ML.Data.PrimitiveDataViewType,``0,Microsoft.ML.DataViewSchema.Annotations)">
-            <summary>
-            Add one annotation column for a primitive value type.
-            </summary>
-            <param name="name">The annotation name.</param>
-            <param name="type">The annotation type.</param>
-            <param name="value">The value of the annotation.</param>
-            <param name="annotations">Annotations of the input column. Note that annotations on an annotation column is somewhat rare
-            except for certain types (for example, slot names for a vector, key values for something of key type).</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Annotations.Builder.ToAnnotations">
-            <summary>
-            Returns a <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/> row that contains the current contents of this <see cref="T:Microsoft.ML.DataViewSchema.Annotations.Builder"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewSchema.Builder">
-            <summary>
-            Class containing operations to build a <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Builder.#ctor">
-            <summary>
-            Create a new instance of <see cref="T:Microsoft.ML.DataViewSchema.Builder"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Builder.AddColumn(System.String,Microsoft.ML.Data.DataViewType,Microsoft.ML.DataViewSchema.Annotations)">
-            <summary>
-            Add one column to the schema being built.
-            </summary>
-            <param name="name">The column name.</param>
-            <param name="type">The column type.</param>
-            <param name="annotations">The column annotations.</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Builder.AddColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Add multiple existing columns to the schema being built.
-            </summary>
-            <param name="source">Columns to add.</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Builder.AddColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.DetachedColumn})">
-            <summary>
-            Add multiple existing columns to the schema being built.
-            </summary>
-            <param name="source">Columns to add.</param>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.Builder.ToSchema">
-            <summary>
-            Returns a <see cref="T:Microsoft.ML.DataViewSchema"/> that contains the current contents of this <see cref="T:Microsoft.ML.DataViewSchema.Builder"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewSchema.#ctor(Microsoft.ML.DataViewSchema.Column[])">
-            <summary>
-            This constructor should only be called by <see cref="T:Microsoft.ML.DataViewSchema.Builder"/>.
-            </summary>
-            <param name="columns">The input columns. The constructed instance takes ownership of the array.</param>
-        </member>
-        <member name="T:Microsoft.ML.IDataView">
-            <summary>
-            The input and output of Query Operators (Transforms). This is the fundamental data pipeline
-            type, comparable to <see cref="T:System.Collections.Generic.IEnumerable`1"/> for LINQ.
-            </summary>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SimpleDataViewImplementation](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/SimpleDataViewImplementation.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="P:Microsoft.ML.IDataView.CanShuffle">
-            <summary>
-            Whether this IDataView supports shuffling of rows, to any degree.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.IDataView.GetRowCount">
-             <summary>
-             Returns the number of rows if known. Returning null means that the row count is unknown but
-             it might return a non-null value on a subsequent call. This indicates, that the transform does
-             not YET know the number of rows, but may in the future. Its implementation's computation
-             complexity should be O(1).
-            
-             Most implementation will return the same answer every time. Some, like a cache, might
-             return null until the cache is fully populated.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.IDataView.GetRowCursor(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)">
-            <summary>
-            Get a row cursor. The <paramref name="columnsNeeded"/> indicate the active columns that are needed
-            to iterate over. If set to an empty <see cref="T:System.Collections.IEnumerable"/> no column is requested. The schema of the returned
-            cursor will be the same as the schema of the IDataView, but getting a getter for inactive columns will throw.
-            </summary>
-            <param name="columnsNeeded">The active columns needed. If passed an empty <see cref="T:System.Collections.IEnumerable"/> no column is requested.</param>
-            <param name="rand">An instance of <see cref="T:System.Random"/> to seed randomizing the access for a shuffled cursor.</param>
-        </member>
-        <member name="M:Microsoft.ML.IDataView.GetRowCursorSet(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Int32,System.Random)">
-             <summary>
-             This constructs a set of parallel batch cursors. The value <paramref name="n"/> is a recommended limit on
-             cardinality. If <paramref name="n"/> is non-positive, this indicates that the caller has no recommendation,
-             and the implementation should have some default behavior to cover this case. Note that this is strictly a
-             recommendation: it is entirely possible that an implementation can return a different number of cursors.
-            
-             The cursors should return the same data as returned through
-             <see cref="M:Microsoft.ML.IDataView.GetRowCursor(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)"/>, except partitioned: no two cursors should return the
-             "same" row as would have been returned through the regular serial cursor, but all rows should be returned by
-             exactly one of the cursors returned from this cursor. The cursors can have their values reconciled
-             downstream through the use of the <see cref="P:Microsoft.ML.DataViewRow.Batch"/> property.
-            
-             The typical usage pattern is that a set of cursors is requested, each of them is then given to a set of
-             working threads that consume from them independently while, ultimately, the results are finally collated in
-             the end by exploiting the ordering of the <see cref="P:Microsoft.ML.DataViewRow.Batch"/> property described above. More typical
-             scenarios will be content with pulling from the single serial cursor of
-             <see cref="M:Microsoft.ML.IDataView.GetRowCursor(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)"/>.
-             </summary>
-             <param name="columnsNeeded">The active columns needed. If passed an empty <see cref="T:System.Collections.IEnumerable"/> no column is requested.</param>
-             <param name="n">The suggested degree of parallelism.</param>
-             <param name="rand">An instance of <see cref="T:System.Random"/> to seed randomizing the access.</param>
-             <returns></returns>
-        </member>
-        <member name="P:Microsoft.ML.IDataView.Schema">
-            <summary>
-            Gets an instance of Schema.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.ValueGetter`1">
-            <summary>
-            Delegate type to get a value. This can be used for efficient access to data in a <see cref="T:Microsoft.ML.DataViewRow"/>
-            or <see cref="T:Microsoft.ML.DataViewRowCursor"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.DataViewRow">
-            <summary>
-            A logical row of data. May be a row of an <see cref="T:Microsoft.ML.IDataView"/> or a stand-alone row.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewRow.Position">
-             <summary>
-             This is incremented when the underlying contents changes, giving clients a way to detect change. It should be
-             -1 when the object is in a state where values cannot be fetched. In particular, for an <see cref="T:Microsoft.ML.DataViewRowCursor"/>,
-             this will be before <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/> if ever called for the first time, or after the first time
-             <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/> is called and returns <see langword="false"/>.
-            
-             Note that this position is not position within the underlying data, but position of this cursor only. If
-             one, for example, opened a set of parallel streaming cursors, or a shuffled cursor, each such cursor's first
-             valid entry would always have position 0.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.DataViewRow.Batch">
-             <summary>
-             This provides a means for reconciling multiple rows that have been produced generally from
-             <see cref="M:Microsoft.ML.IDataView.GetRowCursorSet(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Int32,System.Random)"/>. When getting a set, there is a need
-             to, while allowing parallel processing to proceed, always have an aim that the original order should be
-             recoverable. Note, whether or not a user cares about that original order in one's specific application is
-             another story altogether (most callers of this as a practical matter do not, otherwise they would not call
-             it), but at least in principle it should be possible to reconstruct the original order one would get from an
-             identically configured <see cref="M:Microsoft.ML.IDataView.GetRowCursor(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Random)"/>. So: for any cursor
-             implementation, batch numbers should be non-decreasing. Furthermore, any given batch number should only
-             appear in one of the cursors as returned by
-             <see cref="M:Microsoft.ML.IDataView.GetRowCursorSet(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column},System.Int32,System.Random)"/>. In this way, order is determined by
-             batch number. An operation that reconciles these cursors to produce a consistent single cursoring, could do
-             so by drawing from the single cursor, among all cursors in the set, that has the smallest batch number
-             available.
-            
-             Note that there is no suggestion that the batches for a particular entry will be consistent from cursoring
-             to cursoring, except for the consistency in resulting in the same overall ordering. The same entry could
-             have different batch numbers from one cursoring to another. There is also no requirement that any given
-             batch number must appear, at all. It is merely a mechanism for recovering ordering from a possibly arbitrary
-             partitioning of the data. It also follows from this, of course, that considering the batch to be a property
-             of the data is completely invalid.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewRow.GetIdGetter">
-             <summary>
-             A getter for a 128-bit ID value. It is common for objects to serve multiple <see cref="T:Microsoft.ML.DataViewRow"/>
-             instances to iterate over what is supposed to be the same data, for example, in a <see cref="T:Microsoft.ML.IDataView"/>
-             a cursor set will produce the same data as a serial cursor, just partitioned, and a shuffled cursor will
-             produce the same data as a serial cursor or any other shuffled cursor, only shuffled. The ID exists for
-             applications that need to reconcile which entry is actually which. Ideally this ID should be unique, but for
-             practical reasons, it suffices if collisions are simply extremely improbable.
-            
-             Note that this ID, while it must be consistent for multiple streams according to the semantics above, is not
-             considered part of the data per se. So, to take the example of a data view specifically, a single data view
-             must render consistent IDs across all cursorings, but there is no suggestion at all that if the "same" data
-             were presented in a different data view (as by, say, being transformed, cached, saved, or whatever), that
-             the IDs between the two different data views would have any discernible relationship.</summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewRow.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewRow.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of the given <paramref name="column"/>, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="P:Microsoft.ML.DataViewRow.Schema">
-            <summary>
-            Gets a <see cref="P:Microsoft.ML.DataViewRow.Schema"/>, which provides name and type information for variables
-            (i.e., columns in ML.NET's type system) stored in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewRow.Dispose">
-            <summary>
-            Implementation of dispose. Calls <see cref="M:Microsoft.ML.DataViewRow.Dispose(System.Boolean)"/> with <see langword="true"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.DataViewRow.Dispose(System.Boolean)">
-            <summary>
-            The disposable method for the disposable pattern. This default implementation does nothing.
-            </summary>
-            <param name="disposing">Whether this was called from <see cref="M:System.IDisposable.Dispose"/>.
-            Subclasses that implement <see cref="M:System.Object.Finalize"/> should call this method with
-            <see langword="false"/>, but I hasten to add that implementing finalizers should be
-            avoided if at all possible.</param>.
-        </member>
-        <member name="T:Microsoft.ML.DataViewRowCursor">
-            <summary>
-            Class used to cursor through rows of an <see cref="T:Microsoft.ML.IDataView"/>.
-            </summary>
-            <remarks>
-            Note that this is also an <see cref="T:Microsoft.ML.DataViewRow"/>. The <see cref="P:Microsoft.ML.DataViewRow.Position"/> is
-            incremented by <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/>. Prior to the first call to <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/>, or after
-            <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/> returns <see langword="false"/>, <see cref="P:Microsoft.ML.DataViewRow.Position"/> is <c>-1</c>.
-            Otherwise, when <see cref="M:Microsoft.ML.DataViewRowCursor.MoveNext"/> returns <see langword="true"/>, <see cref="P:Microsoft.ML.DataViewRow.Position"/> >= 0.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.DataViewRowCursor.MoveNext">
-            <summary>
-            Advance to the next row. When the cursor is first created, this method should be called to
-            move to the first row. Returns <see langword="false"/> if there are no more rows.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.SchemaDebuggerProxy">
-            <summary>
-            The debugger proxy for <see cref="T:Microsoft.ML.DataViewSchema"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.AnnotationsDebuggerProxy">
-            <summary>
-            The debugger proxy for <see cref="T:Microsoft.ML.DataViewSchema.Annotations"/>.
-            </summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.KMeansClustering.dll b/W/Debug_Folder/Microsoft.ML.KMeansClustering.dll
deleted file mode 100644
index cda166158..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.KMeansClustering.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.KMeansClustering.xml b/W/Debug_Folder/Microsoft.ML.KMeansClustering.xml
deleted file mode 100644
index 1f5d34ecf..000000000
--- a/W/Debug_Folder/Microsoft.ML.KMeansClustering.xml
+++ /dev/null
@@ -1,383 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.KMeansClustering</name>
-    </assembly>
-    <members>
-        <member name="T:Microsoft.ML.KMeansClusteringExtensions">
-            <summary>
-            Collection of extension methods for the <see cref="T:Microsoft.ML.ClusteringCatalog.ClusteringTrainers"/> to create
-            instances of KMeans trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.KMeansClusteringExtensions.KMeans(Microsoft.ML.ClusteringCatalog.ClusteringTrainers,System.String,System.String,System.Int32)">
-            <summary>
-            Train a KMeans++ clustering algorithm using <see cref="T:Microsoft.ML.Trainers.KMeansTrainer"/>.
-            </summary>
-            <param name="catalog">The clustering catalog trainer object.</param>
-            <param name="featureColumnName">The name of the feature column.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="numberOfClusters">The number of clusters to use for KMeans.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[KMeans](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Clustering/KMeans.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.KMeansClusteringExtensions.KMeans(Microsoft.ML.ClusteringCatalog.ClusteringTrainers,Microsoft.ML.Trainers.KMeansTrainer.Options)">
-            <summary>
-            Train a KMeans++ clustering algorithm using <see cref="T:Microsoft.ML.Trainers.KMeansTrainer"/>.
-            </summary>
-            <param name="catalog">The clustering catalog trainer object.</param>
-            <param name="options">Algorithm advanced options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[KMeans](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Clustering/KMeansWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.KMeansModelParameters">
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[KMeans](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Clustering/KMeans.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.GetVersionInfo">
-            <summary>
-            Version information to be saved in binary format
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],System.Boolean)">
-            <summary>
-            Initialize predictor with a trained model.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="k">Number of centroids</param>
-            <param name="centroids">Coordinates of the centroids</param>
-            <param name="copyIn">If true then the <paramref name="centroids"/> vectors will be subject to
-            a deep copy, if false then this constructor will take ownership of the passed in centroid vectors.
-            If false then the caller must take care to not use or modify the input vectors once this object
-            is constructed, and should probably remove all references.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Initialize predictor from a binary file.
-            </summary>
-            <param name="ctx">The load context</param>
-            <param name="env">The host environment</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.SaveCore(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Save the predictor in binary format.
-            </summary>
-            <param name="ctx">The context to save to</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            This method is called by reflection to instantiate a predictor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.InitPredictor">
-            <summary>
-            Initialize internal parameters: L2 norms of the _centroids.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansModelParameters.GetClusterCentroids(Microsoft.ML.Data.VBuffer{System.Single}[]@,System.Int32@)">
-            <summary>
-            Copies the centroids to a set of provided buffers.
-            </summary>
-            <param name="centroids">The buffer to which to copy. Will be extended to
-            an appropriate length, if necessary.</param>
-            <param name="k">The number of clusters, corresponding to the logical size of
-            <paramref name="centroids"/>.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.KMeansTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a KMeans clusterer
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [KMeans](xref:Microsoft.ML.KMeansClusteringExtensions.KMeans(Microsoft.ML.ClusteringCatalog.ClusteringTrainers,System.String,System.String,System.Int32))
-             or [Kmeans(Options)](xref:Microsoft.ML.KMeansClusteringExtensions.KMeans(Microsoft.ML.ClusteringCatalog.ClusteringTrainers,Microsoft.ML.Trainers.KMeansTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-clustering.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Clustering |
-             | Is normalization required? | Yes |
-             | Is caching required? | Yes |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             [K-means](https://en.wikipedia.org/wiki/K-means_clustering) is a popular clustering algorithm.
-             With K-means, the data is clustered into a specified number of clusters in order to minimize the within-cluster sum of squared distances.
-             This implementation follows the [Yinyang K-means method](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/ding15.pdf).
-             For choosing the initial cluster centeroids, one of three options can be used:
-             - Random initialization. This might lead to potentially bad approximations of the optimal clustering.
-             - The K-means++ method. This is an [improved initialization algorithm](https://en.wikipedia.org/wiki/K-means%2b%2b#Improved_initialization_algorithm)
-             introduced [here](http://ilpubs.stanford.edu:8090/778/1/2006-13.pdf) by Ding et al., that guarantees to find
-             a solution that is $O(log K)$ competitive to the optimal K-means solution.
-             - The K-means|| method. This method was introduced [here](https://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf) by Bahmani et al., and uses
-             a parallel method that drastically reduces the number of passes needed to obtain a good initialization.
-            
-             K-means|| is the default initialization method. The other methods can be specified in the [Options](xref:Microsoft.ML.Trainers.KMeansTrainer.Options)
-             when creating the trainer using
-             [KMeansTrainer(Options)](xref:Microsoft.ML.KMeansClusteringExtensions.KMeans(Microsoft.ML.ClusteringCatalog.ClusteringTrainers,Microsoft.ML.Trainers.KMeansTrainer.Options)).
-            
-             ### Scoring Function
-             The output Score column contains the square of the $L_2$-norm distance (i.e., [Euclidean distance](https://en.wikipedia.org/wiki/Euclidean_distance)) of the given input vector $\textbf{x}\in \mathbb{R}^n$ to each cluster's centroid.
-             Assume that the centriod of the $c$-th cluster is $\textbf{m}_c \in \mathbb{R}^n$.
-             The $c$-th value at the Score column would be $d_c = || \textbf{x} - \textbf{m}\_c ||\_2^2$.
-             The predicted label is the index with the smallest value in a $K$ dimensional vector $[d\_{0}, \dots, d\_{K-1}]$, where $K$ is the number of clusters.
-            
-             For more information on K-means, and K-means++ see:
-             [K-means](https://en.wikipedia.org/wiki/K-means_clustering)
-             [K-means++](https://en.wikipedia.org/wiki/K-means%2b%2b)
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="T:Microsoft.ML.Trainers.KMeansTrainer" />
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Defaults.NumberOfClusters">
-            <value>The number of clusters.</value>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.KMeansTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.KMeansTrainer"/> as used in [KMeansTrainer(Options)](xref:Microsoft.ML.KMeansClusteringExtensions.KMeans(Microsoft.ML.ClusteringCatalog.ClusteringTrainers,Microsoft.ML.Trainers.KMeansTrainer.Options)).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Options.NumberOfClusters">
-            <summary>
-            The number of clusters.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Options.InitializationAlgorithm">
-            <summary>
-            Cluster initialization algorithm.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Options.OptimizationTolerance">
-            <summary>
-            Tolerance parameter for trainer convergence. Low = slower, more accurate.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Options.MaximumNumberOfIterations">
-            <summary>
-            Maximum number of iterations.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Options.AccelerationMemoryBudgetMb">
-            <summary>
-            Memory budget (in MBs) to use for KMeans acceleration.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.KMeansTrainer.Options.NumberOfThreads">
-            <summary>
-            Degree of lock-free parallelism. Defaults to automatic. Determinism not guaranteed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.KMeansTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.KMeansTrainer"/>
-            </summary>
-            <param name="env">The <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> to use.</param>
-            <param name="options">The advanced options of the algorithm.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansPlusPlusInit.Initialize(Microsoft.ML.Runtime.IHost,System.Int32,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Trainers.FeatureFloatVectorCursor.Factory,System.Int32,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],System.Int64@,System.Int64@,System.Boolean)">
-            <summary>
-            Initialize starting centroids via KMeans++ algorithm. This algorithm will always run single-threaded,
-            regardless of the value of <paramref name="numThreads" />.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.KMeansAcceleratedRowMap">
-            <summary>
-            An instance of this class is used by SharedStates in YinYangTrainer
-            and KMeansBarBarInitialization. It effectively bounds MaxInstancesToAccelerate and
-            initializes RowIndexGetter.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansAcceleratedRowMap.BuildParallelIndexLookup(Microsoft.ML.Trainers.FeatureFloatVectorCursor.Factory)">
-            <summary>
-            Initializes the parallel index lookup HashArray using a sequential RowCursor. We
-            preinitialize the HashArray so we can perform lock-free lookup operations during
-            the primary KMeans pass.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.KMeansBarBarInitialization.SharedState">
-             <summary>
-             Data for optimizing KMeans|| initialization. Very similar to SharedState class
-             For every instance, there is a space for the best weight and best cluster computed.
-            
-             In this class, new clusters mean the clusters that were added to the cluster set
-             in the previous round of KMeans|| and old clusters are the rest of them (the ones
-             that were added in the rounds before the previous one).
-            
-             In every round of KMeans||, numSamplesPerRound new clusters are added to the set of clusters.
-             There are 'numRounds' number of rounds. We compute and store the distance of each new
-             cluster from every round to all of the previous clusters and use it
-             to avoid unnecessary computation by applying the triangle inequality.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansBarBarInitialization.SharedState.SetInstanceCluster(System.Int32,System.Single,System.Int32)">
-            <summary>
-            When assigning an accelerated row to a cluster, we store away the weight
-            to its closest cluster, as well as the identity of the new
-            closest cluster. Note that bestWeight can be negative since it is
-            corresponding to the weight of a distance which does not have
-            the L2 norm of the point itself.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansBarBarInitialization.SharedState.SetClusterDistance(System.Int32,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Computes and stores the distance of a new cluster to an old cluster
-            <paramref name="newClusterFeatures"/> must be between 0..numSamplesPerRound-1.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansBarBarInitialization.SharedState.CanWeightComputationBeAvoided(System.Single,System.Int32,System.Int32)">
-            <summary>
-            This function is the key to use triangle inequality. Given an instance x distance to the best
-            old cluster, cOld, and distance of a new cluster, cNew, to cOld, this function evaluates whether
-            the distance computation of dist(x,cNew) can be avoided.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansBarBarInitialization.FindBestCluster(Microsoft.ML.Data.VBuffer{System.Single}@,System.Int32,Microsoft.ML.Trainers.KMeansBarBarInitialization.SharedState,System.Int32,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Boolean,System.Boolean,System.Single@,System.Int32@)">
-             <summary>
-             This function finds the best cluster and the best weight for an instance using
-             smart triangle inequality to avoid unnecessary weight computations.
-            
-             Note that <paramref name="needToStoreWeight"/> is used to avoid the storing the new cluster in
-             final round. After the final round, best cluster information will be ignored.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansBarBarInitialization.ComputeAccelerationMemoryRequirement(System.Int64,System.Int32,System.Int32,System.Boolean,System.Int64@,System.Int64@)">
-            <summary>
-            This method computes the memory requirement for _clusterDistances in SharedState (clusterBytes) and
-            the maximum number of instances whose weight to the closest cluster can be memorized in order to avoid
-            recomputation later.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansBarBarInitialization.Initialize(Microsoft.ML.Runtime.IHost,System.Int32,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Trainers.FeatureFloatVectorCursor.Factory,System.Int32,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],System.Int64,System.Int64@,System.Int64@)">
-             <summary>
-             KMeans|| Implementation, see https://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf
-             This algorithm will require:
-             - (k * overSampleFactor * rounds * dimensionality * 4) bytes for the final sampled clusters.
-             - (k * overSampleFactor * numThreads * dimensionality * 4) bytes for the per-round sampling.
-            
-             Uses memory in initializationState to cache distances and avoids unnecessary distance computations
-             akin to YinYang-KMeans paper.
-            
-             Everywhere in this function, weight of an instance x from a cluster c means weight(x,c) = dist(x,c)^2-norm(x)^2.
-             We store weight in most cases to avoid unnecessary computation of norm(x).
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansRandomInit.Initialize(Microsoft.ML.Runtime.IHost,System.Int32,Microsoft.ML.Runtime.IChannel,Microsoft.ML.Trainers.FeatureFloatVectorCursor.Factory,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],System.Int64@,System.Int64@)">
-            <summary>
-            Initialize starting centroids via reservoir sampling.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.WorkChunkStateBase.Reduce(Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.WorkChunkState[],Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.ReducedWorkChunkState)">
-            <summary>
-            Reduces the array of work chunks into this chunk, coalescing the
-            results from multiple worker threads partitioned over a parallel cursor set and
-            clearing their values to prepare them for the next iteration.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.ReducedWorkChunkState.UpdateClusters(Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single@)">
-            <summary>
-            Updates all the passed in variables with the results of the most recent iteration
-            of cluster assignment. It is assumed that centroids will contain the previous results
-            of this call.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.SharedState.SetYinYangCluster(System.Int32,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,System.Int32,System.Single)">
-            <summary>
-            When assigning an accelerated row to a cluster, we store away the distance
-            to its closer and second closed cluster, as well as the identity of the new
-            closest cluster. This method returns the last known closest cluster.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.SharedState.UpdateYinYangBounds(System.Int32)">
-            <summary>
-            Updates the known YinYang bounds for the given row using the centroid position
-            deltas from the previous iteration.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.SharedState.IsYinYangGloballyBound(System.Int32)">
-            <summary>
-            Determines if the triangle distance inequality still applies to the given row,
-            allowing us to avoid per-cluster distance computation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.ProcessChunk(Microsoft.ML.Trainers.FeatureFloatVectorCursor,Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.SharedState,Microsoft.ML.Trainers.KMeansLloydsYinYangTrain.WorkChunkStateBase,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])">
-            <summary>
-            Performs the 'update' step of KMeans. This method is passed a WorkChunkState. In the parallel version
-            this chunk will be one of _numThreads chunks and the RowCursor will be part of a RowCursorSet. In the
-            unthreaded version, this chunk will be the final chunk and hold state for the entire data set.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansUtils.ParallelWeightedReservoirSample(Microsoft.ML.Runtime.IHost,System.Int32,System.Int32,Microsoft.ML.Trainers.FeatureFloatVectorCursor.Factory,Microsoft.ML.Trainers.KMeansUtils.WeightFunc,Microsoft.ML.Trainers.KMeansUtils.RowIndexGetter,Microsoft.ML.Data.VBuffer{System.Single}[]@,Microsoft.ML.Internal.Utilities.Heap{Microsoft.ML.Trainers.KMeansUtils.WeightedPoint}[]@)">
-             <summary>
-             Performs a multithreaded version of weighted reservoir sampling, returning
-             an array of numSamples, where each sample has been selected from the
-             data set with a probability of numSamples/N * weight/(sum(weight)). Buffer
-             is sized to the number of threads plus one and stores the minheaps needed to
-             perform the per-thread reservoir samples.
-            
-             This method assumes that the numSamples is much smaller than the full dataset as
-             it expects to be able to sample numSamples * numThreads.
-            
-             This is based on the 'A-Res' algorithm in 'Weighted Random Sampling', 2005; Efraimidis, Spirakis:
-             https://utopia.duth.gr/~pefraimi/research/data/2007EncOfAlg.pdf
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansUtils.ParallelMapReduce``2(System.Int32,Microsoft.ML.Runtime.IHost,Microsoft.ML.Trainers.FeatureFloatVectorCursor.Factory,Microsoft.ML.Trainers.KMeansUtils.RowIndexGetter,Microsoft.ML.Trainers.KMeansUtils.InitAction{``0},Microsoft.ML.Trainers.KMeansUtils.MapAction{``0},Microsoft.ML.Trainers.KMeansUtils.ReduceAction{``0,``1},``0[]@,``1@)">
-            <summary>
-            Takes a data cursor and perform an in-memory parallel aggregation operation on it. This
-            helper wraps some of the behavior common to parallel operations over a <see cref="T:Microsoft.ML.DataViewRowCursor"/> set,
-            including building the set, creating separate Random instances, and <see cref="T:Microsoft.ML.DataViewRowCursor"/> disposal.
-            </summary>
-            <typeparam name="TPartitionState">The type that each parallel cursor will be expected to aggregate to.</typeparam>
-            <typeparam name="TGlobalState">The type of the final output from combining each per-thread instance of TInterAgg.</typeparam>
-            <param name="numThreads"></param>
-            <param name="baseHost"></param>
-            <param name="factory"></param>
-            <param name="rowIndexGetter"></param>
-            <param name="initChunk">Initializes an instance of TInterAgg, or prepares/clears it if it is already allocated.</param>
-            <param name="mapper">Invoked for every row, should update TInterAgg using row cursor data.</param>
-            <param name="reducer">Invoked after all row cursors have completed, combines the entire array of TInterAgg instances into a final TAgg result.</param>
-            <param name="buffer">A reusable buffer array of TInterAgg.</param>
-            <param name="result">A reusable reference to the final result.</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansUtils.FindBestCluster(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Int32,System.Boolean,System.Single@,System.Int32@,System.Single@,System.Int32@)">
-            <summary>
-            Given a point and a set of centroids this method will determine the closest centroid
-            using L2 distance. It will return a value equivalent to that distance, the index of the
-            closest cluster, and a value equivalent to the distance to the second-nearest cluster.
-            </summary>
-            <param name="features"></param>
-            <param name="centroids"></param>
-            <param name="centroidL2s">The L2 norms of the centroids. Used for efficiency and expected to be computed up front.</param>
-            <param name="centroidCount">The number of centroids. Must be less than or equal to the length of the centroid array.</param>
-            <param name="needRealDistance">Whether to return a real L2 distance, or a value missing the L2 norm of <paramref name="features"/>.</param>
-            <param name="minDistance">The distance between <paramref name="features"/> and the nearest centroid in <paramref name="centroids" />.</param>
-            <param name="cluster">The index of the nearest centroid.</param>
-            <param name="secMinDistance">The second nearest distance, or PosInf if <paramref name="centroids" /> only contains a single point.</param>
-            <param name="secCluster">The index of the second nearest centroid, or -1 if <paramref name="centroids" /> only contains a single point.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.KMeansUtils.VerifyModelConsistency(Microsoft.ML.Data.VBuffer{System.Single}[])">
-            <summary>
-            Checks that all coordinates of all centroids are finite, and throws otherwise
-            </summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.PCA.dll b/W/Debug_Folder/Microsoft.ML.PCA.dll
deleted file mode 100644
index 0f5a3fd53..000000000
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diff --git a/W/Debug_Folder/Microsoft.ML.PCA.xml b/W/Debug_Folder/Microsoft.ML.PCA.xml
deleted file mode 100644
index 2d48bf574..000000000
--- a/W/Debug_Folder/Microsoft.ML.PCA.xml
+++ /dev/null
@@ -1,330 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.PCA</name>
-    </assembly>
-    <members>
-        <member name="T:Microsoft.ML.PcaCatalog">
-            <summary>
-            Collection of extension methods used by the <see cref="T:Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers"/>,
-            and <see cref="T:Microsoft.ML.TransformsCatalog"/> catalogs to create instances of Principal Component Analysis (PCA) components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.PcaCatalog.ProjectToPrincipalComponents(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})">
-            <summary>Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.PrincipalComponentAnalyzer"/>.</summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="rank">The number of principal components.</param>
-            <param name="overSampling">Oversampling parameter for randomized PrincipalComponentAnalysis training.</param>
-            <param name="ensureZeroMean">If enabled, data is centered to be zero mean.</param>
-            <param name="seed">The seed for random number generation.</param>
-        </member>
-        <member name="M:Microsoft.ML.PcaCatalog.ProjectToPrincipalComponents(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions[])">
-            <summary>Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.PrincipalComponentAnalyzer"/>.</summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">Input columns to apply PrincipalComponentAnalysis on.</param>
-        </member>
-        <member name="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer"/>, which trains an approximate principal component analysis (PCA) model using randomized singular value decomposition (SVD) algorithm.
-            </summary>
-            <param name="catalog">The anomaly detection catalog trainer object.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional). To use the weight column, the column data
-            must be of type <see cref="T:System.Single"/>.</param>
-            <param name="rank">The number of components in the PCA.</param>
-            <param name="oversampling">Oversampling parameter for randomized PCA training.</param>
-            <param name="ensureZeroMean">If enabled, data is centered to be zero mean.</param>
-            <param name="seed">The seed for random number generation.</param>
-            <remarks>
-            By default the threshold used to determine the label of a data point based on the predicted score is 0.5. Scores range from 0 to 1. A data point with predicted
-            score higher than 0.5 is considered an outlier. Use <see cref="M:Microsoft.ML.AnomalyDetectionCatalog.ChangeModelThreshold``1(Microsoft.ML.Data.AnomalyPredictionTransformer{``0},System.Single)"/> to change this threshold.
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[RPCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/AnomalyDetection/RandomizedPcaSample.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer"/> with advanced options, which trains an approximate principal component analysis (PCA) model using randomized singular value decomposition (SVD) algorithm.
-            </summary>
-            <param name="catalog">The anomaly detection catalog trainer object.</param>
-            <param name="options">Advanced options to the algorithm.</param>
-            <remarks>
-            By default the threshold used to determine the label of a data point based on the predicted score is 0.5. Scores range from 0 to 1. A data point with predicted
-            score higher than 0.5 is considered an outlier. Use <see cref="M:Microsoft.ML.AnomalyDetectionCatalog.ChangeModelThreshold``1(Microsoft.ML.Data.AnomalyPredictionTransformer{``0},System.Single)"/> to change this threshold.
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[RPCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/AnomalyDetection/RandomizedPcaSampleWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.RandomizedPcaTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training an approximate PCA using Randomized SVD algorithm.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [RandomizedPca](xref:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32}))
-             or [RandomizedPca(Options)](xref:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-anomaly-detection.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Anomaly Detection |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | No |
-            
-             ### Training Algorithm Details
-             This trainer uses the top eigenvectors to approximate the subspace containing the normal class.
-             For each new instance, it computes the norm difference between the raw feature vector and the projected feature on that subspace.
-             If the error is close to 0, the instance is considered normal (non-anomaly).
-            
-             More specifically, this trainer trains an approximate PCA using a randomized method for computing the singular value decomposition (SVD) of
-             the matrix whose rows are the input vectors.
-             The model generated by this trainer contains three parameters:
-             - A projection matrix $U$
-             - The mean vector in the original feature space $m$
-             - The mean vector in the projected feature space $p$
-            
-             For an input feature vector $x$, the anomaly score is computed by comparing the $L_2$
-             norm of the original input vector, and the $L_2$ norm of the projected vector:
-             $\sqrt{\left(\|x-m\|_2^2 - \|Ux-p\|_2^2\right)\|x-m\|_2^2}$.
-            
-             The method is described [here](https://web.stanford.edu/group/mmds/slides2010/Martinsson.pdf).
-            
-             Note that the algorithm can be made into Kernel PCA by applying the <xref:Microsoft.ML.Transforms.ApproximatedKernelTransformer>
-             to the data before passing it to the trainer.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})"/>
-             <seealso cref="M:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.RandomizedPcaTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer"/> as used in
-            [RandomizedPca(Options)](xref:Microsoft.ML.PcaCatalog.RandomizedPca(Microsoft.ML.AnomalyDetectionCatalog.AnomalyDetectionTrainers,Microsoft.ML.Trainers.RandomizedPcaTrainer.Options)).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.RandomizedPcaTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer"/>.
-            </summary>
-            <param name="env">The local instance of the <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="featureColumnName">The name of the feature column.</param>
-            <param name="exampleWeightColumnName">The name of the weight column.</param>
-            <param name="rank">The number of components in the PCA.</param>
-            <param name="oversampling">Oversampling parameter for randomized PCA training.</param>
-            <param name="ensureZeroMean">If enabled, data is centered to be zero mean.</param>
-            <param name="seed">The seed for random number generation.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.RandomizedPcaTrainer.PostProcess(System.Single[][],System.Single[],System.Single[],System.Int32,System.Int32)">
-            <summary>
-            Modifies <paramref name="y"/> in place so it becomes <paramref name="y"/> * eigenvectors / eigenvalues.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PcaModelParameters">
-            <summary>
-            Model parameters for <see cref="T:Microsoft.ML.Trainers.RandomizedPcaTrainer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PcaModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Int32,System.Single[][],Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Instantiate new model parameters from trained model.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="rank">The rank of the PCA approximation of the covariance matrix. This is the number of eigenvectors in the model.</param>
-            <param name="eigenVectors">Array of eigenvectors.</param>
-            <param name="mean">The mean vector of the training data.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PcaModelParameters.GetEigenVectors(Microsoft.ML.Data.VBuffer{System.Single}[]@,System.Int32@)">
-            <summary>
-            Copies the top eigenvectors of the covariance matrix of the training data
-            into a set of buffers.
-            </summary>
-            <param name="vectors">A possibly reusable set of vectors, which will
-            be expanded as necessary to accommodate the data.</param>
-            <param name="rank">Set to the rank, which is also the logical length
-            of <paramref name="vectors"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PcaModelParameters.GetMean(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Copies the mean vector of the training data.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PrincipalComponentAnalysisTransformer">
-            <summary>
-        PCA is a dimensionality-reduction transform which computes the projection of the feature vector onto a low-rank subspace. 
-      </summary><remarks>
-      <a href="https://en.wikipedia.org/wiki/Principal_component_analysis">Principle Component Analysis (PCA)</a> is a dimensionality-reduction algorithm which computes the projection of the feature vector to onto a low-rank subspace.
-      Its training is done using the technique described in the paper: <a href="https://arxiv.org/pdf/1310.6304v2.pdf">Combining Structured and Unstructured Randomness in Large Scale PCA</a>,
-      and the paper <a href="https://arxiv.org/pdf/0909.4061v2.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-        <para>For more information, see also:</para>
-        <list type="bullet">
-          <item><description>
-            <a href="https://web.stanford.edu/group/mmds/slides2010/Martinsson.pdf">Randomized Methods for Computing the Singular Value Decomposition (SVD) of very large matrices</a>
-          </description></item>
-          <item><description>
-            <a href="https://arxiv.org/abs/0809.2274">A randomized algorithm for principal component analysis</a>
-          </description></item>
-          <item><description>
-            <a href="http://users.cms.caltech.edu/~jtropp/papers/HMT11-Finding-Structure-SIREV.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-          </description></item>
-        </list>
-      </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PrincipalComponentAnalyzer">
-            <summary>
-        PCA is a dimensionality-reduction transform which computes the projection of the feature vector onto a low-rank subspace. 
-      </summary><remarks>
-      <a href="https://en.wikipedia.org/wiki/Principal_component_analysis">Principle Component Analysis (PCA)</a> is a dimensionality-reduction algorithm which computes the projection of the feature vector to onto a low-rank subspace.
-      Its training is done using the technique described in the paper: <a href="https://arxiv.org/pdf/1310.6304v2.pdf">Combining Structured and Unstructured Randomness in Large Scale PCA</a>,
-      and the paper <a href="https://arxiv.org/pdf/0909.4061v2.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-        <para>For more information, see also:</para>
-        <list type="bullet">
-          <item><description>
-            <a href="https://web.stanford.edu/group/mmds/slides2010/Martinsson.pdf">Randomized Methods for Computing the Singular Value Decomposition (SVD) of very large matrices</a>
-          </description></item>
-          <item><description>
-            <a href="https://arxiv.org/abs/0809.2274">A randomized algorithm for principal component analysis</a>
-          </description></item>
-          <item><description>
-            <a href="http://users.cms.caltech.edu/~jtropp/papers/HMT11-Finding-Structure-SIREV.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-          </description></item>
-        </list>
-      </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.Name">
-            <summary>
-            Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.InputColumnName">
-            <summary>
-            Name of column to transform.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.WeightColumn">
-            <summary>
-            The name of the weight column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.Rank">
-            <summary>
-            The number of components in the PCA.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.Oversampling">
-            <summary>
-            Oversampling parameter for randomized PCA training.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.EnsureZeroMean">
-            <summary>
-            If enabled, data is centered to be zero mean.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.Seed">
-            <summary>
-            The seed for random number generation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions.#ctor(System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform.
-            If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="weightColumn">The name of the weight column.</param>
-            <param name="rank">The number of components in the PCA.</param>
-            <param name="overSampling">Oversampling parameter for randomized PCA training.</param>
-            <param name="ensureZeroMean">If enabled, data is centered to be zero mean.</param>
-            <param name="seed">The random seed. If unspecified random state will be instead derived from the <see cref="T:Microsoft.ML.MLContext"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Nullable{System.Int32})">
-            <summary>
-        PCA is a dimensionality-reduction transform which computes the projection of the feature vector onto a low-rank subspace. 
-      </summary><remarks>
-      <a href="https://en.wikipedia.org/wiki/Principal_component_analysis">Principle Component Analysis (PCA)</a> is a dimensionality-reduction algorithm which computes the projection of the feature vector to onto a low-rank subspace.
-      Its training is done using the technique described in the paper: <a href="https://arxiv.org/pdf/1310.6304v2.pdf">Combining Structured and Unstructured Randomness in Large Scale PCA</a>,
-      and the paper <a href="https://arxiv.org/pdf/0909.4061v2.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-        <para>For more information, see also:</para>
-        <list type="bullet">
-          <item><description>
-            <a href="https://web.stanford.edu/group/mmds/slides2010/Martinsson.pdf">Randomized Methods for Computing the Singular Value Decomposition (SVD) of very large matrices</a>
-          </description></item>
-          <item><description>
-            <a href="https://arxiv.org/abs/0809.2274">A randomized algorithm for principal component analysis</a>
-          </description></item>
-          <item><description>
-            <a href="http://users.cms.caltech.edu/~jtropp/papers/HMT11-Finding-Structure-SIREV.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-          </description></item>
-        </list>
-      </remarks>
-            <param name="env">The environment to use.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.</param>
-            <param name="inputColumnName">Name of the column to transform.
-            If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
-            <param name="weightColumn">The name of the weight column.</param>
-            <param name="rank">The number of components in the PCA.</param>
-            <param name="overSampling">Oversampling parameter for randomized PCA training.</param>
-            <param name="ensureZeroMean">If enabled, data is centered to be zero mean.</param>
-            <param name="seed">The seed for random number generation.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.PrincipalComponentAnalyzer.ColumnOptions[])">
-            <summary>
-        PCA is a dimensionality-reduction transform which computes the projection of the feature vector onto a low-rank subspace. 
-      </summary><remarks>
-      <a href="https://en.wikipedia.org/wiki/Principal_component_analysis">Principle Component Analysis (PCA)</a> is a dimensionality-reduction algorithm which computes the projection of the feature vector to onto a low-rank subspace.
-      Its training is done using the technique described in the paper: <a href="https://arxiv.org/pdf/1310.6304v2.pdf">Combining Structured and Unstructured Randomness in Large Scale PCA</a>,
-      and the paper <a href="https://arxiv.org/pdf/0909.4061v2.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-        <para>For more information, see also:</para>
-        <list type="bullet">
-          <item><description>
-            <a href="https://web.stanford.edu/group/mmds/slides2010/Martinsson.pdf">Randomized Methods for Computing the Singular Value Decomposition (SVD) of very large matrices</a>
-          </description></item>
-          <item><description>
-            <a href="https://arxiv.org/abs/0809.2274">A randomized algorithm for principal component analysis</a>
-          </description></item>
-          <item><description>
-            <a href="http://users.cms.caltech.edu/~jtropp/papers/HMT11-Finding-Structure-SIREV.pdf">Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions</a>
-          </description></item>
-        </list>
-      </remarks>
-            <param name="env">The environment to use.</param>
-            <param name="columns">The dataset columns to use, and their specific settings.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.PrincipalComponentAnalysisTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.PrincipalComponentAnalyzer.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.StandardTrainers.dll b/W/Debug_Folder/Microsoft.ML.StandardTrainers.dll
deleted file mode 100644
index c0dc16884..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.StandardTrainers.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.StandardTrainers.xml b/W/Debug_Folder/Microsoft.ML.StandardTrainers.xml
deleted file mode 100644
index bb2c1b75a..000000000
--- a/W/Debug_Folder/Microsoft.ML.StandardTrainers.xml
+++ /dev/null
@@ -1,4565 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.StandardTrainers</name>
-    </assembly>
-    <members>
-        <member name="T:Microsoft.ML.FactorizationMachineExtensions">
-            <summary>
-            Collection of extension methods for the <see cref="T:Microsoft.ML.BinaryClassificationCatalog"/> to create instances
-            of field aware factorization trainer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/>, which predicts a target using a field-aware factorization machine trained over boolean label data.
-            </summary>
-            <remarks>
-            Note that because there is only one feature column, the underlying model is equivalent to standard factorization machine.
-            </remarks>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[FieldAwareFactorizationMachineWithoutArguments](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/FactorizationMachine.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String[],System.String,System.String)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/>, which predicts a target using a field-aware factorization machine trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnNames">The names of the feature columns. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[FieldAwareFactorizationMachine](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/FieldAwareFactorizationMachine.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/> using advanced options, which predicts a target using a field-aware factorization machine trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[FieldAwareFactorizationMachine](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/FieldAwareFactorizationMachineWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a field-aware factorization machine model trained using a stochastic gradient method.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification.md)]
-             To create this trainer, use [FieldAwareFactorizationMachine](xref:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String))
-             [FieldAwareFactorizationMachine](xref:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String[],System.String,System.String)),
-             or [FieldAwareFactorizationMachine(Options)](xref:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)).
-            
-             In contrast to other binary classifiers, which can only support one feature column, field-aware factorization machine can consume multiple feature columns.
-             Each column is viewed as a container of some features and such a container is called a field.
-             Note that all feature columns must be float vectors but their dimensions can be different.
-             The motivation of splitting features into different fields is to model features from different distributions independently.
-             For example, in online game store, features created from user profile and those from game profile can be assigned to two different fields.
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | No |
-            
-             ### Background
-             Factorization machine family is a powerful model group for supervised learning problems.
-             It was first introduced in Steffen Rendle's [Factorization Machines](http://ieeexplore.ieee.org/document/5694074/?reload=true) paper in 2010.
-             Later, one of its generalized versions, field-aware factorization machine, became an important predictive module in recent recommender systems and click-through rate prediction contests.
-             For examples, see winning solutions in Steffen Rendle's KDD-Cup 2012 ([Track 1](http://www.kdd.org/kdd-cup/view/kdd-cup-2012-track-1) and [Track 2](http://www.kdd.org/kdd-cup/view/kdd-cup-2012-track-2)),
-             [Criteo's](https://www.kaggle.com/c/criteo-display-ad-challenge), [Avazu's](https://www.kaggle.com/c/avazu-ctr-prediction), and [Outbrain's](https://www.kaggle.com/c/outbrain-click-prediction) click prediction challenges on Kaggle.
-            
-             Factorization machines are especially powerful when feature conjunctions are extremely correlated to the signal you want to predict.
-             An example of feature pairs which can form important conjunctions is user ID and music ID in music recommendation.
-             When a dataset consists of only dense numerical features, usage of factorization machine is not recommended or some featurizations should be performed.
-            
-             ### Scoring Function
-             Field-aware factorization machine is a scoring function which maps feature vectors from different fields to a scalar score.
-             Assume that all $m$ feature columns are concatenated into a long feature vector $\textbf{x} \in {\mathbb R}^n$ and ${\mathcal F}(j)$ denotes the $j$-th feature's field indentifier.
-             The corresponding score is $\hat{y}(\textbf{x}) = \langle \textbf{w}, \textbf{x} \rangle + \sum_{j = 1}^n \sum_{j' = j + 1}^n \langle \textbf{v}\_{j, {\mathcal F}(j')}, \textbf{v}\_{j', {\mathcal F}(j)} \rangle x_j x_{j'}$,
-             where $\langle \cdot, \cdot \rangle$ is the inner product operator, $\textbf{w} \in {\mathbb R}^n$ stores the linear coefficients, and $\textbf{v}_{j, f}\in {\mathbb R}^k$ is the $j$-th feature's representation in the $f$-th field's latent space.
-             Note that $k$ is the latent dimension specified by the user.
-            
-             The predicted label is the sign of $\hat{y}$. If $\hat{y} > 0$, this model predicts true. Otherwise, it predicts false.
-            
-             For a systematic introduction to field-aware factorization machine, please see [this paper](https://www.csie.ntu.edu.tw/~cjlin/papers/ffm.pdf)
-            
-             ### Training Algorithm Details
-             The algorithm implemented in <xref:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer> is based on [a stochastic gradient method](http://jmlr.org/papers/volume12/duchi11a/duchi11a.pdf).
-             Algorithm details is described in Algorithm 3 in [this online document](https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf).
-             The minimized loss function is [logistic loss](https://en.wikipedia.org/wiki/Loss_functions_for_classification), so the trained model can be viewed as a non-linear logistic regression.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String)"/>
-             <seealso cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String[],System.String,System.String)"/>
-             <seealso cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options"/> for <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/> as used in
-            <see cref="M:Microsoft.ML.FactorizationMachineExtensions.FieldAwareFactorizationMachine(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.LearningRate">
-            <summary>
-            Initial learning rate.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.NumberOfIterations">
-            <summary>
-            Number of training iterations.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.LatentDimension">
-            <summary>
-            Latent space dimension.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.LambdaLinear">
-            <summary>
-            Regularization coefficient of linear weights.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.LambdaLatent">
-            <summary>
-            Regularization coefficient of latent weights.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.NormalizeFeatures">
-            <summary>
-            Whether to normalize the input vectors so that the concatenation of all fields' feature vectors is unit-length.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.ExtraFeatureColumns">
-            <summary>
-            Extra feature column names. The column named <see cref="F:Microsoft.ML.Trainers.TrainerInputBase.FeatureColumnName"/> stores features from the first field.
-            The i-th string in <see cref="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.ExtraFeatureColumns"/> stores the name of the (i+1)-th field's feature column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.Shuffle">
-            <summary>
-            Whether to shuffle for each training iteration.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.Verbose">
-            <summary>
-            Report traning progress or not.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options.Radius">
-            <summary>
-            Radius of initial latent factors.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.FeatureColumns">
-            <summary>
-            The feature column that the trainer expects.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.LabelColumn">
-            <summary>
-            The label column that the trainer expects. Can be <c>null</c>, which indicates that label
-            is not used for training.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.WeightColumn">
-            <summary>
-            The weight column that the trainer expects. Can be <c>null</c>, which indicates that weight is
-            not used for training.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Microsoft#ML#ITrainer#Info">
-            <summary>
-            The <see cref="T:Microsoft.ML.TrainerInfo"/> containing at least the training data for this trainer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/> through the <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options"/> class.
-            </summary>
-            <param name="env">The private instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="options">An instance of the legacy <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options"/> to apply advanced parameters to the algorithm.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String[],System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/>.
-            </summary>
-            <param name="env">The private instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="featureColumnNames">The name of column hosting the features. The i-th element stores feature column of the i-th field.</param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="exampleWeightColumnName">The name of the weight column (optional).</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Initialize(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Options)">
-            <summary>
-            Initializes the instance. Shared between the two constructors.
-            REVIEW: Once the legacy constructor goes away, this can move to the only constructor and most of the fields can be back to readonly.
-            </summary>
-            <param name="env"></param>
-            <param name="options"></param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Fit(Microsoft.ML.IDataView,Microsoft.ML.IDataView,Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters)">
-            <summary>
-            Continues the training of a <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/> using an already trained <paramref name="modelParameters"/> and/or validation data,
-            and returns a <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.Fit(Microsoft.ML.IDataView)">
-            <summary> Trains and returns a <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer"/>.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Schema propagation for transformers. Returns the output schema of the data, if
-            the input schema is like the one provided.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters">
-            <summary>
-            Model parameters for <see cref="T:Microsoft.ML.Trainers.FieldAwareFactorizationMachineTrainer"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.FieldCount">
-            <summary>
-            Get the number of fields. It's the symbol `m` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.FeatureCount">
-            <summary>
-            Get the number of features. It's the symbol `n` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.LatentDimension">
-            <summary>
-            Get the latent dimension. It's the length of `v_{j, f}` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Boolean,System.Int32,System.Int32,System.Int32,System.Single[],System.Single[])">
-            <summary>
-            Initialize model parameters with a trained model.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="norm">True if user wants to normalize feature vector to unit length.</param>
-            <param name="fieldCount">The number of fields, which is the symbol `m` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf </param>
-            <param name="featureCount">The number of features, which is the symbol `n` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf </param>
-            <param name="latentDim">The latent dimensions, which is the length of `v_{j, f}` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf </param>
-            <param name="linearWeights">The linear coefficients of the features, which is the symbol `w` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf </param>
-            <param name="latentWeights">Latent representation of each feature. Note that one feature may have <see cref="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.FieldCount"/> latent vectors
-            and each latent vector contains <see cref="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.LatentDimension"/> values. In the f-th field, the j-th feature's latent vector, `v_{j, f}` in the doc
-            https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf, starts at latentWeights[j * fieldCount * latentDim + f * latentDim].
-            The k-th element in v_{j, f} is latentWeights[j * fieldCount * latentDim + f * latentDim + k]. The size of the array must be featureCount x fieldCount x latentDim.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.GetLinearWeights">
-            <summary>
-            The linear coefficients of the features. It's the symbol `w` in the doc: https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.GetLatentWeights">
-            <summary>
-            Latent representation of each feature. Note that one feature may have <see cref="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.FieldCount"/> latent vectors
-            and each latent vector contains <see cref="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachineModelParameters.LatentDimension"/> values. In the f-th field, the j-th feature's latent vector, `v_{j, f}` in the doc
-            https://github.com/wschin/fast-ffm/blob/master/fast-ffm.pdf, starts at latentWeights[j * fieldCount * latentDim + f * latentDim].
-            The k-th element in v_{j, f} is latentWeights[j * fieldCount * latentDim + f * latentDim + k].
-            The size of the returned value is featureCount x fieldCount x latentDim.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer.FeatureColumns">
-            <summary>
-            The name of the feature column used by the prediction transformer.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer.FeatureColumnTypes">
-            <summary>
-            The type of the feature columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Gets the <see cref="T:Microsoft.ML.DataViewSchema"/> result after transformation.
-            </summary>
-            <param name="inputSchema">The <see cref="T:Microsoft.ML.DataViewSchema"/> of the input data.</param>
-            <returns>The post transformation <see cref="T:Microsoft.ML.DataViewSchema"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachinePredictionTransformer.SaveModel(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Saves the transformer to file.
-            </summary>
-            <param name="ctx">The <see cref="T:Microsoft.ML.ModelSaveContext"/> that facilitates saving to the <see cref="T:Microsoft.ML.Repository"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.FieldAwareFactorizationMachineScalarRowMapper.Microsoft#ML#Data#ISchemaBoundRowMapper#GetDependenciesForNewColumns(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.GetVersionInfo">
-            <summary>
-            Version information to be saved in binary format
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single,System.Single[],System.Single[],System.Single[],System.Int32)">
-            <summary>
-            Constructor. w, thetaPrime, theta must be dense <see cref="T:Microsoft.ML.Data.VBuffer`1"/>s.
-            Note that this takes over ownership of all such vectors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Create method to instantiate a predictor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.SaveCore(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Save the predictor in binary format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.SaveVBufferArray(Microsoft.ML.ModelSaveContext,Microsoft.ML.Data.VBuffer{System.Single}[])">
-            <summary>
-            Save an array of <see cref="T:Microsoft.ML.Data.VBuffer`1"/> in binary format. The vectors must be dense.
-            </summary>
-            <param name="ctx">The context where we will save the vectors.</param>
-            <param name="data">An array of vectors.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.LoadVBufferArray(Microsoft.ML.ModelLoadContext,System.Int32,System.Int32)">
-            <summary>
-            Load an array of <see cref="T:Microsoft.ML.Data.VBuffer`1"/> from binary format.
-            </summary>
-            <param name="ctx">The context from which to read the vectors.</param>
-            <param name="length">The length of the array of vectors.</param>
-            <param name="vectorLength">The length of each vector.</param>
-            <returns>An array of vectors.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmModelParameters.Margin(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Compute Margin.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LdSvmTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a non-linear binary classification model
-             trained with Local Deep SVM.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [LdSvm](xref:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean))
-             or [LdSvm(Options)](xref:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification-no-prob.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | No |
-            
-             ### Training Algorithm Details
-             Local Deep SVM (LD-SVM) is a generalization of Localized Multiple Kernel Learning for non-linear SVM. Multiple kernel methods learn a different
-             kernel, and hence a different classifier, for each point in the feature space. The prediction time cost for multiple kernel methods can be prohibitively
-             expensive for large training sets because it is proportional to the number of support vectors, and these grow linearly with the size of the training
-             set. LD-SVM reduces the prediction cost by learning a tree-based local feature embedding that is high dimensional and sparse, efficiently encoding
-             non-linearities. Using LD-SVM, the prediction cost grows logarithmically with the size of the training set, rather than linearly, with a tolerable loss
-             in classification accuracy.
-            
-             Local Deep SVM is an implementation of the algorithm described in [C. Jose, P. Goyal, P. Aggrwal, and M. Varma, Local Deep
-             Kernel Learning for Efficient Non-linear SVM Prediction, ICML, 2013](http://proceedings.mlr.press/v28/jose13.pdf).
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)"/>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.TreeDepth">
-            <summary>
-            Depth of LDSVM Tree
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.LambdaW">
-            <summary>
-             Regularizer for classifier parameter W
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.LambdaTheta">
-            <summary>
-             Regularizer for kernel parameter Theta
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.LambdaThetaprime">
-            <summary>
-             Regularizer for kernel parameter ThetaPrime
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.Sigma">
-            <summary>
-             Parameter for sigmoid sharpness
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.UseBias">
-            <summary>
-            Indicates if we should use Bias or not in our model.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LdSvmTrainer.Options.NumberOfIterations">
-            <summary>
-            Number of iterations
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmTrainer.ComputeGradTheta(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single[],System.Int32,System.Single,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])">
-            <summary>
-            Compute gradient w.r.t theta for an instance X
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmTrainer.UpdateGamma(System.Int32,System.Int32,System.Single@,Microsoft.ML.Trainers.LdSvmTrainer.Data,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])">
-            <summary>
-            Adaptively update gamma for indicator function approximation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmTrainer.TrainCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,System.Int32,System.Int32)">
-            <summary>
-            Main LDSVM training routine.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmTrainer.InitClassifierParam(System.Int32,System.Int32,Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single[],Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single[])">
-            <summary>
-            Inititlize classifier parameters
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LdSvmTrainer.CheckOptions(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.Trainers.LdSvmTrainer.Options)">
-            <summary>
-            Initialization of model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.DnnTrainState">
-            <summary>
-            A class that contains the current train state to use for learning rate scheduling.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LearningRateScheduler">
-            <summary>
-            This abstract class defines a learning rate scheduler.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LsrDecay">
-            <summary>
-            This class implements linear scaling rule and LR decay.
-            Implementation adopted from RESNET-CIFAR benchmark test in Tensorflow slim.
-            https://github.com/tensorflow/models/blob/b974c3f95a37acedcc3c58566834c78fcae4b214/official/vision/image_classification/resnet_cifar_main.py
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LsrDecay.LearningRateSchedulerItem">
-            <summary>
-            This structure represents a learning rate scheduler item type
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LsrDecay.LearningRateSchedulerItem.Epoch">
-            <summary>
-            Start epoch to match with the scaling factor
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LsrDecay.LearningRateSchedulerItem.ScalingFactor">
-            <summary>
-            Scaling factor or multiplier that changes the learning rate for Linear scale rule
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LsrDecay._lrSchedule">
-            <summary>
-            Learning rate is scaled at epoch boundaries provided in LrSchedule to corresponding multiplier in the LrSchedule.
-            Format for LrSchedule: {start epoch, scaling factor}, ordered with largest start epoch first
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LsrDecay.BaseLearningRate">
-            <summary>
-            Base Learning rate to start off with.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LsrDecay.#ctor(System.Single)">
-            <summary>
-            Linear Scale rule and LR Decay construtor assigns a default LR scheduler.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LsrDecay.#ctor(System.Collections.Generic.IReadOnlyList{Microsoft.ML.Trainers.LsrDecay.LearningRateSchedulerItem},System.Single)">
-            <summary>
-            Linear Scale rule and LR Decay construtor assigns a user defined LR scheduler.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LsrDecay.GetLearningRateScheduleMultiplier(System.Int32)">
-            <summary>
-            This function returns the corresponding scaling factor or multiplier for the given epoch from the LrSchedule.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LsrDecay.GetLearningRate(Microsoft.ML.Trainers.DnnTrainState)">
-            <summary>
-            This function returns the Learning rate using linear scale rule and LR decay.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ExponentialLRDecay">
-            <summary>
-            This class implements Exponential Learning rate decay.
-            Implemented from the tensorflow documentation.
-            Source: https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/exponential_decay
-            Default values and implementation of learning rate is from Tensorflow Slim model tests.
-            Source : https://github.com/tensorflow/models/blob/master/research/slim/train_image_classifier.py
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.ExponentialLRDecay.LearningRate">
-            <summary>
-            Initial learning rate.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.ExponentialLRDecay.GlobalStep">
-            <summary>
-            The number of batches seen by the graph so far.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.ExponentialLRDecay.DecaySteps">
-            <summary>
-            Number of decay steps
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.ExponentialLRDecay.DecayRate">
-            <summary>
-            Learning rate decay factor.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.ExponentialLRDecay.Staircase">
-            <summary>
-            If Staircase is True the learning rate decays at discrete intervals and the decayed learning rate follows a staircase function.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.ExponentialLRDecay.NumEpochsPerDecay">
-            <summary>
-            Number of epochs after which learning rate decays.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ExponentialLRDecay.#ctor(System.Single,System.Single,System.Single,System.Boolean)">
-            <summary>
-            This contructor initializes intial learning rate, number epochs per decay, decay rate and the staircase option.
-            The defaults are taken from Tensorflow Slim.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ExponentialLRDecay.GetLearningRate(Microsoft.ML.Trainers.DnnTrainState)">
-            <summary>
-            Computes exponentially decayed learning rate
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PolynomialLRDecay">
-            <summary>
-            This class implements polynomial Learning rate decay.
-            Implemented from the tensorflow documentation.
-            Source: https://www.tensorflow.org/api_docs/python/tf/compat/v1/train/polynomial_decay
-            Default values and implementation of learning rate is from Tensorflow Slim model tests.
-            Source : https://github.com/tensorflow/models/blob/master/research/slim/train_image_classifier.py
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.PolynomialLRDecay.LearningRate">
-            <summary>
-            Initial learning rate.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.PolynomialLRDecay.EndLearningRate">
-            <summary>
-            The minimal end learning rate.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.PolynomialLRDecay.Power">
-            <summary>
-            The power of the polynomial
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.PolynomialLRDecay.Cycle">
-            <summary>
-            whether or not it should cycle once decay has been reached
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.PolynomialLRDecay.NumEpochsPerDecay">
-            <summary>
-            Number of epochs after which learning rate decays.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearModelParameters">
-            <summary>
-            Base class for linear model parameters.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.LinearModelParameters.Weights">
-            <summary> The predictor's feature weight coefficients.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.LinearModelParameters.Bias">
-            <summary> The predictor's bias term.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.LinearModelParameters.Microsoft#ML#Trainers#ICalculateFeatureContribution#FeatureContributionCalculator">
-            <summary>
-            Used to determine the contribution of each feature to the score of an example by <see cref="T:Microsoft.ML.Transforms.FeatureContributionCalculatingTransformer"/>.
-            For linear models, the contribution of a given feature is equal to the product of feature value times the corresponding weight.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Constructs a new linear predictor.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="name">Component name.</param>
-            <param name="weights">The weights for the linear model. The i-th element of weights is the coefficient
-            of the i-th feature. Note that this will take ownership of the <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.</param>
-            <param name="bias">The bias added to every output score.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameters.CombineParameters(System.Collections.Generic.IList{Microsoft.ML.Model.IParameterMixer{System.Single}},Microsoft.ML.Data.VBuffer{System.Single}@,System.Single@)">
-            <summary>
-            Combine a bunch of models into one by averaging parameters
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearBinaryModelParameters">
-            <summary>
-            The model parameters class for linear binary trainer estimators.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearBinaryModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Trainers.ModelStatisticsBase)">
-            <summary>
-            Constructs a new linear binary predictor.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="weights">The weights for the linear model. The i-th element of weights is the coefficient
-            of the i-th feature. Note that this will take ownership of the <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.</param>
-            <param name="bias">The bias added to every output score.</param>
-            <param name="stats"></param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearBinaryModelParameters.Microsoft#ML#Model#IParameterMixer{System#Single}#CombineParameters(System.Collections.Generic.IList{Microsoft.ML.Model.IParameterMixer{System.Single}})">
-            <summary>
-            Combine a bunch of models into one by averaging parameters
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearBinaryModelParameters.Microsoft#ML#Model#ICanGetSummaryInKeyValuePairs#GetSummaryInKeyValuePairs(Microsoft.ML.Data.RoleMappedSchema)">
-            <inheritdoc/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.RegressionModelParameters">
-            <summary>
-            Model parameters for regression.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.RegressionModelParameters.SaveAsIni(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.Calibrators.ICalibrator)">
-            <summary>
-            Output the INI model to a given writer
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearRegressionModelParameters">
-            <summary>
-            Model parameters for linear regression.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearRegressionModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Constructs a new linear regression model from trained weights.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="weights">The weights for the linear model. The i-th element of weights is the coefficient
-            of the i-th feature. Note that this will take ownership of the <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.</param>
-            <param name="bias">The bias added to every output score.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearRegressionModelParameters.Microsoft#ML#Model#IParameterMixer{System#Single}#CombineParameters(System.Collections.Generic.IList{Microsoft.ML.Model.IParameterMixer{System.Single}})">
-            <summary>
-            Combine a bunch of models into one by averaging parameters
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearRegressionModelParameters.Microsoft#ML#Model#ICanGetSummaryInKeyValuePairs#GetSummaryInKeyValuePairs(Microsoft.ML.Data.RoleMappedSchema)">
-            <inheritdoc/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PoissonRegressionModelParameters">
-            <summary>
-            Model parameters for Poisson Regression.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PoissonRegressionModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Constructs a new Poisson regression model parameters from trained model.
-            </summary>
-            <param name="env">The Host environment.</param>
-            <param name="weights">The weights for the linear model. The i-th element of weights is the coefficient
-            of the i-th feature. Note that this will take ownership of the <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.</param>
-            <param name="bias">The bias added to every output score.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PoissonRegressionModelParameters.Microsoft#ML#Model#IParameterMixer{System#Single}#CombineParameters(System.Collections.Generic.IList{Microsoft.ML.Model.IParameterMixer{System.Single}})">
-            <summary>
-            Combine a bunch of models into one by averaging parameters
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearPredictorUtils">
-            <summary>
-            Helper methods for linear predictors
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearPredictorUtils.SaveAsCode(System.IO.TextWriter,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.RoleMappedSchema,System.String)">
-            <summary>
-            print the linear model as code
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearPredictorUtils.FeatureNameAsCode(System.String,System.Int32)">
-            <summary>
-            Ensure that feature name is a legitimate variable name
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearPredictorUtils.LinearModelAsIni(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.IPredictor,Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.Calibrators.PlattCalibrator)">
-            <summary>
-            Build a Bing TreeEnsemble .ini representation of the given predictor
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearPredictorUtils.LinearModelAsText(System.String,System.String,System.String,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.RoleMappedSchema,Microsoft.ML.Calibrators.PlattCalibrator)">
-            <summary>
-            Output the weights of a linear model to a given writer
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearPredictorUtils.SaveLinearModelWeightsInKeyValuePairs(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.RoleMappedSchema,System.Collections.Generic.List{System.Collections.Generic.KeyValuePair{System.String,System.Object}})">
-            <summary>
-            Output the weights of a linear model to key value pairs.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsTrainerBase`3">
-            <summary>
-            Base class for <a href='https://en.wikipedia.org/wiki/Limited-memory_BFGS'>L-BFGS</a>-based trainers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase">
-            <summary>
-            Base options class for trainer estimators deriving from<see cref="T:Microsoft.ML.Trainers.LbfgsTrainerBase`3"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.L2Regularization">
-            <summary>
-            L2 regularization weight.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.L1Regularization">
-            <summary>
-            L1 regularization weight.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.OptimizationTolerance">
-            <summary>
-            Tolerance parameter for optimization convergence. (Low = slower, more accurate).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.HistorySize">
-            <summary>
-            Number of previous iterations to remember for estimating the Hessian. Lower values mean faster but less accurate estimates.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.MaximumNumberOfIterations">
-            <summary>
-            Number of iterations.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.StochasticGradientDescentInitilaizationTolerance">
-            <summary>
-            Run SGD to initialize LR weights, converging to this tolerance.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.Quiet">
-            <summary>
-            Determines whether to produce output during training or not.
-            </summary>
-            <value>
-            If set to <see langword="true"/> no output is produced.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.InitialWeightsDiameter">
-            <summary>
-            Initial weights scale.
-            </summary>
-            <value>
-            This property is only used if the provided value is positive.
-            The weights will be randomly selected from InitialWeights * [-0.5,0.5] interval with uniform distribution.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.NumberOfThreads">
-            <summary>
-            Number of threads. Null means use the number of processors.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.DenseOptimizer">
-            <summary>
-            Force densification of the internal optimization vectors. Default is false.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsTrainerBase`3.OptionsBase.EnforceNonNegativity">
-            <summary>
-            Enforce non-negative weights. Default is false.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsTrainerBase`3.InitializeWeightsSgd(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Trainers.FloatLabelCursor.Factory)">
-            <summary>
-            Initialize weights by running SGD up to specified tolerance.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsTrainerBase`3.TrainModelCore(Microsoft.ML.TrainContext)">
-            <summary>
-            The basic training calls the optimizer
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsTrainerBase`3.DifferentiableFunction(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Runtime.IProgressChannelProvider)">
-            <summary>
-            The gradient being used by the optimizer
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsTrainerBase`3.DifferentiableFunctionMultithreaded(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Runtime.IProgressChannel)">
-            <summary>
-            Batch-parallel optimizer
-            </summary>
-            <remarks>
-            REVIEW: consider getting rid of multithread-targeted members
-            Using TPL, the distinction between Multithreaded and Sequential implementations is unnecessary
-            </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a linear logistic regression model trained with L-BFGS method.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [LbfgsLogisticRegression](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean))
-             or [LbfgsLogisticRegression(Options)](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Scoring Function
-             Linear logistic regression is a variant of linear model. It maps feature vector $\textbf{x} \in {\mathbb R}^n$ to a scalar via $\hat{y}\left( \textbf{x} \right) = \textbf{w}^T  \textbf{x} + b = \sum_{j=1}^n w_j x_j + b$,
-             where the $x_j$ is the $j$-th feature's value, the $j$-th element of $\textbf{w}$ is the $j$-th feature's coefficient, and $b$ is a learnable bias.
-             The corresponding probability of getting a true label is $\frac{1}{1 + e^{\hat{y}\left( \textbf{x} \right)}}$.
-            
-             ### Training Algorithm Details
-             The optimization technique implemented is based on [the limited memory Broyden-Fletcher-Goldfarb-Shanno method (L-BFGS)](https://en.wikipedia.org/wiki/Limited-memory_BFGS).
-             L-BFGS is a [quasi-Newtonian method](https://en.wikipedia.org/wiki/Quasi-Newton_method) which replaces the expensive computation cost of the Hessian matrix with an approximation but still enjoys a fast convergence rate like the [Newton method](https://en.wikipedia.org/wiki/Newton%27s_method_in_optimization) where the full Hessian matrix is computed.
-             Since L-BFGS approximation uses only a limited amount of historical states to compute the next step direction, it is especially suited for problems with high-dimensional feature vector.
-             The number of historical states is a user-specified parameter, using a larger number may lead to a better approximation to the Hessian matrix but also a higher computation cost per step.
-            
-             Regularization is a method that can render an ill-posed problem more tractable by imposing constraints that provide information to supplement the data and that prevents overfitting by penalizing model's magnitude usually measured by some norm functions.
-             This can improve the generalization of the model learned by selecting the optimal complexity in the bias-variance tradeoff.
-             Regularization works by adding the penalty that is associated with coefficient values to the error of the hypothesis.
-             An accurate model with extreme coefficient values would be penalized more, but a less accurate model with more conservative values would be penalized less.
-            
-             This learner supports [elastic net regularization](https://en.wikipedia.org/wiki/Elastic_net_regularization): a linear combination of L1-norm (LASSO), $|| \textbf{w} ||_1$, and L2-norm (ridge), $|| \textbf{w} ||_2^2$ regularizations.
-             L1-norm and L2-norm regularizations have different effects and uses that are complementary in certain respects.
-             Using L1-norm can increase sparsity of the trained $\textbf{w}$.
-             When working with high-dimensional data, it shrinks small weights of irrelevant features to 0 and therefore no resource will be spent on those bad features when making predictions.
-             If L1-norm regularization is used, the training algorithm is [OWL-QN](http://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.68.5260).
-             L2-norm regularization is preferable for data that is not sparse and it largely penalizes the existence of large weights.
-            
-             An aggressive regularization (that is, assigning large coefficients to L1-norm or L2-norm regularization terms) can harm predictive capacity by excluding important variables out of the model.
-             Therefore, choosing the right regularization coefficients is important when applying logistic regression.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/> as used in
-            <see cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)"/>
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options.ShowTrainingStatistics">
-            <summary>
-            If set to <value>true</value> training statistics will be generated at the end of training.
-            If you have a large number of learned training parameters(more than 500),
-            generating the training statistics might take a few seconds.
-            More than 1000 weights might take a few minutes. For those cases consider using the instance of <see cref="T:Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation"/>
-            present in the Microsoft.ML.Mkl.Components package. That computes the statistics using hardware acceleration.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options.ComputeStandardDeviation">
-            <summary>
-            The instance of <see cref="T:Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation"/> that computes the std of the training statistics, at the end of training.
-            The calculations are not part of Microsoft.ML package, due to the size of MKL.
-            If you need these calculations, add the Microsoft.ML.Mkl.Components package, and initialize <see cref="F:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options.ComputeStandardDeviation"/>.
-            to the <see cref="T:Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation"/> implementation in the Microsoft.ML.Mkl.Components package.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="featureColumn">The name of the feature column.</param>
-            <param name="exampleWeightColumnName">The name for the example weight column.</param>
-            <param name="enforceNoNegativity">Enforce non-negative weights.</param>
-            <param name="l1Regularization">Weight of L1 regularizer term.</param>
-            <param name="l2Regularization">Weight of L2 regularizer term.</param>
-            <param name="memorySize">Memory size for <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>. Low=faster, less accurate.</param>
-            <param name="optimizationTolerance">Threshold for optimizer convergence.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Fit(Microsoft.ML.IDataView,Microsoft.ML.Trainers.LinearModelParameters)">
-            <summary>
-            Continues the training of a <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/> using an already trained <paramref name="modelParameters"/> and returns
-            a <see cref="T:Microsoft.ML.Data.BinaryPredictionTransformer`1"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation">
-            <summary>
-            Computes the standard deviation matrix of each of the non-zero training weights, needed to calculate further the standard deviation,
-            p-value and z-Score.
-            Use this class' implementation in the Microsoft.ML.Mkl.Components package which uses Intel Math Kernel Library.
-            Due to the existence of regularization, an approximation is used to compute the variances of the trained linear coefficients.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation.ComputeStandardDeviation(System.Double[],System.Int32[],System.Int32,System.Int32,Microsoft.ML.Runtime.IChannel,System.Single)">
-            <summary>
-            Computes the standard deviation matrix of each of the non-zero training weights, needed to calculate further the standard deviation,
-            p-value and z-Score.
-            The calculations are not part of Microsoft.ML package, due to the size of MKL.
-            If you need these calculations, add the Microsoft.ML.Mkl.Components package, and initialize <see cref="F:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options.ComputeStandardDeviation"/>
-            to the <see cref="T:Microsoft.ML.Trainers.ComputeLogisticRegressionStandardDeviation"/> implementation in the Microsoft.ML.Mkl.Components package.
-            Due to the existence of regularization, an approximation is used to compute the variances of the trained linear coefficients.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a maximum entropy multiclass classifier trained with L-BFGS method.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [LbfgsMaximumEntropy](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean))
-             or [LbfgsMaximumEntropy(Options)](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Scoring Function
-             [Maximum entropy model](https://en.wikipedia.org/wiki/Multinomial_logistic_regression) is a generalization of linear [logistic regression](https://en.wikipedia.org/wiki/Logistic_regression).
-             The major difference between maximum entropy model and logistic regression is the number of classes supported in the considered classification problem.
-             Logistic regression is only for binary classification while maximum entropy model handles multiple classes.
-             See Section 1 in [this paper](https://www.csie.ntu.edu.tw/~cjlin/papers/maxent_dual.pdf) for a detailed introduction.
-            
-             Assume that the number of classes is $m$ and number of features is $n$.
-             Maximum entropy model assigns the $c$-th class a coefficient vector $\textbf{w}\_c \in {\mathbb R}^n$ and a bias $b_c \in {\mathbb R}$, for $c=1,\dots,m$.
-             Given a feature vector $\textbf{x} \in {\mathbb R}^n$, the $c$-th class's score is $\hat{y}^c = \textbf{w}\_c^T \textbf{x} + b_c$.
-             The probability of $\textbf{x}$ belonging to class $c$ is defined by $\tilde{P}(c | \textbf{x}) = \frac{ e^{\hat{y}^c} }{ \sum\_{c' = 1}^m e^{\hat{y}^{c'}} }$.
-             Let $P(c, \textbf{ x})$ denote the joint probability of seeing $c$ and $\textbf{x}$.
-             The loss function minimized by this trainer is $-\sum\_{c = 1}^m P(c, \textbf{ x}) \log \tilde{P}(c | \textbf{x}) $, which is the negative [log-likelihood function](https://en.wikipedia.org/wiki/Likelihood_function#Log-likelihood).
-            
-             ### Training Algorithm Details
-             The optimization technique implemented is based on [the limited memory Broyden-Fletcher-Goldfarb-Shanno method (L-BFGS)](https://en.wikipedia.org/wiki/Limited-memory_BFGS).
-             L-BFGS is a [quasi-Newtonian method](https://en.wikipedia.org/wiki/Quasi-Newton_method), which replaces the expensive computation of the Hessian matrix with an approximation but still enjoys a fast convergence rate like [Newton's method](https://en.wikipedia.org/wiki/Newton%27s_method_in_optimization) where the full Hessian matrix is computed.
-             Since L-BFGS approximation uses only a limited amount of historical states to compute the next step direction, it is especially suited for problems with a high-dimensional feature vector.
-             The number of historical states is a user-specified parameter, using a larger number may lead to a better approximation of the Hessian matrix but also a higher computation cost per step.
-            
-             [!include[io](~/../docs/samples/docs/api-reference/regularization-l1-l2.md)]
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options"/> for <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/> as used in
-            <see cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options.ShowTrainingStatistics">
-            <summary>
-            If set to <value>true</value> training statistics will be generated at the end of training.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/>.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="featureColumn">The name of the feature column.</param>
-            <param name="weights">The name for the example weight column.</param>
-            <param name="enforceNoNegativity">Enforce non-negative weights.</param>
-            <param name="l1Weight">Weight of L1 regularizer term.</param>
-            <param name="l2Weight">Weight of L2 regularizer term.</param>
-            <param name="memorySize">Memory size for <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>. Low=faster, less accurate.</param>
-            <param name="optimizationTolerance">Threshold for optimizer convergence.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Fit(Microsoft.ML.IDataView,Microsoft.ML.Trainers.MaximumEntropyModelParameters)">
-            <summary>
-            Continues the training of a <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/> using an already trained <paramref name="modelParameters"/> and returns
-            a <see cref="T:Microsoft.ML.Data.MulticlassPredictionTransformer`1"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase">
-            <summary>
-            Common linear model of multiclass classifiers. <see cref="T:Microsoft.ML.Trainers.LinearMulticlassModelParameters"/> contains a single
-            linear model per class.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Int32,System.Int32,System.String[],Microsoft.ML.Trainers.ModelStatisticsBase)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Trainers.MaximumEntropyModelParameters"/> class.
-            This constructor is called by <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer"/> to create the predictor.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="name">Registration name of this model's actual type.</param>
-            <param name="weights">The array of weights vectors. It should contain <paramref name="numClasses"/> weights.</param>
-            <param name="bias">The array of biases. It should contain contain <paramref name="numClasses"/> weights.</param>
-            <param name="numClasses">The number of classes for multi-class classification. Must be at least 2.</param>
-            <param name="numFeatures">The length of the feature vector.</param>
-            <param name="labelNames">The optional label names. If specified not null, it should have the same length as <paramref name="numClasses"/>.</param>
-            <param name="stats">The model statistics.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Calibrate(System.Span{System.Single})">
-            <summary>
-            Post-processing function applied to scores of each class' linear model output.
-            In <see cref="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.PredictCore(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)"/> we compute the i-th class' score
-            by using inner product of the i-th linear coefficient vector <see cref="F:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Weights"/>[i] and the input feature vector (plus bias).
-            Then, <see cref="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Calibrate(System.Span{System.Single})"/> will be called to adjust those raw scores.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsTextCore(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Actual implementation of <see cref="M:Microsoft.ML.Model.ICanSaveInTextFormat.SaveAsText(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)"/> should happen in derived classes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Microsoft#ML#Model#ICanSaveInTextFormat#SaveAsText(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Redirect <see cref="M:Microsoft.ML.Model.ICanSaveInTextFormat.SaveAsText(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)"/> call to the right function.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Microsoft#ML#Model#ICanSaveSummary#SaveSummary(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Summary is equivalent to its information in text format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsCodeCore(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Actual implementation of <see cref="M:Microsoft.ML.Model.ICanSaveInSourceCode.SaveAsCode(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)"/> should happen in derived classes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SavePostTransformAsCode(System.IO.TextWriter,System.String)">
-            <summary>
-            The raw scores of all linear classifiers are stored in <see langword="float"/>[] <paramref name="scoresName"/>.
-            Derived classes can use this functin to add C# code for post-transformation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Microsoft#ML#Model#ICanSaveInSourceCode#SaveAsCode(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)">
-            <summary>
-            Redirect <see cref="M:Microsoft.ML.Model.ICanSaveInSourceCode.SaveAsCode(System.IO.TextWriter,Microsoft.ML.Data.RoleMappedSchema)"/> call to the right function.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsPfaCore(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Actual implementation of <see cref="M:Microsoft.ML.Model.Pfa.ISingleCanSavePfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)"/> should happen in derived classes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.ApplyPfaPostTransform(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            This is called at the end of <see cref="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsPfaCore(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)"/> to adjust the final outputs of all linear models.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Microsoft#ML#Model#Pfa#ISingleCanSavePfa#SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Redirect <see cref="M:Microsoft.ML.Model.Pfa.ISingleCanSavePfa.SaveAsPfa(Microsoft.ML.Model.Pfa.BoundPfaContext,Newtonsoft.Json.Linq.JToken)"/> call to the right function.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsOnnxCore(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)">
-            <summary>
-            Actual implementation of <see cref="M:Microsoft.ML.Model.OnnxConverter.ISingleCanSaveOnnx.SaveAsOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)"/> should happen in derived classes.
-            It's ok to make <see cref="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsOnnxCore(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)"/> a <see langword="private protected"/> method in the future
-            if any derived class wants to override.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.GetOnnxPostTransform">
-            <summary>
-            Post-transform applied to the raw scores produced by those linear models of all classes. For maximum entropy classification, it should be
-            a softmax function. This function is used only in <see cref="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.SaveAsOnnxCore(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.Microsoft#ML#Model#OnnxConverter#ISingleCanSaveOnnx#SaveAsOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)">
-            <summary>
-            Redirect <see cref="M:Microsoft.ML.Model.OnnxConverter.ISingleCanSaveOnnx.SaveAsOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)"/> call to the right function.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.GetWeights(Microsoft.ML.Data.VBuffer{System.Single}[]@,System.Int32@)">
-            <summary>
-            Copies the weight vector for each class into a set of buffers.
-            </summary>
-            <param name="weights">A possibly reusable set of vectors, which will
-            be expanded as necessary to accommodate the data.</param>
-            <param name="numClasses">Set to the rank, which is also the logical length
-            of <paramref name="weights"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParametersBase.GetBiases">
-            <summary>
-            Gets the biases for the logistic regression predictor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearMulticlassModelParameters">
-            <summary>
-            Linear model of multiclass classifiers. It outputs raw scores of all its linear models, and no probablistic output is provided.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParameters.GetVersionInfo">
-            <summary>
-            Function used to pass <see cref="P:Microsoft.ML.Trainers.LinearMulticlassModelParameters.VersionInfo"/> into parent class. It may be used when saving the model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParameters.Calibrate(System.Span{System.Single})">
-            <summary>
-            This function does not do any calibration. It's common in multi-class support vector machines where probabilitic outputs are not provided.
-            </summary>
-            <param name="dst">Score vector should be calibrated.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParameters.GetOnnxPostTransform">
-            <summary>
-            No post-transform is needed for non-clibrated classifier.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearMulticlassModelParameters.ApplyPfaPostTransform(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            No post-transform is needed for non-clibrated classifier.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.MaximumEntropyModelParameters">
-            <summary>
-            Linear maximum entropy model of multiclass classifiers. It outputs classes probabilities.
-            This model is also known as multinomial logistic regression.
-            Please see https://en.wikipedia.org/wiki/Multinomial_logistic_regression for details.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MaximumEntropyModelParameters.GetVersionInfo">
-            <summary>
-            Function used to pass <see cref="P:Microsoft.ML.Trainers.MaximumEntropyModelParameters.VersionInfo"/> into parent class. It may be used when saving the model.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MaximumEntropyModelParameters.Calibrate(System.Span{System.Single})">
-            <summary>
-            This function applies softmax to <paramref name="dst"/>. For details about softmax, see https://en.wikipedia.org/wiki/Softmax_function.
-            </summary>
-            <param name="dst">Score vector should be calibrated.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MaximumEntropyModelParameters.SavePostTransformAsCode(System.IO.TextWriter,System.String)">
-            <summary>
-            Apply softmax function to <paramref name="scoresName"/>, which contains raw scores from all linear models.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MaximumEntropyModelParameters.GetOnnxPostTransform">
-            <summary>
-            Apply softmax to the raw scores produced by the lienar models of all classes.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MaximumEntropyModelParameters.ApplyPfaPostTransform(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Apply softmax to the raw scores produced by the lienar models of all classes.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.CoefficientStatistics">
-            <summary>
-            Represents a coefficient statistics object containing statistics about the calculated model parameters.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.CoefficientStatistics.Estimate">
-            <summary>
-            The model parameter (bias of weight) for which the statistics are generated.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.CoefficientStatistics.StandardError">
-            <summary>
-            The <a href="https://en.wikipedia.org/wiki/Standard_error">standard deviation</a> of the estimate of this model parameter (bias of weight).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.CoefficientStatistics.ZScore">
-            <summary>
-            The <a href="https://en.wikipedia.org/wiki/Standard_score">standard score</a> of the estimate of this model parameter (bias of weight).
-            Quantifies by how much the estimate is above or below the mean.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.CoefficientStatistics.PValue">
-            <summary>
-            The <a href="https://en.wikipedia.org/wiki/P-value">probability value</a> of the estimate of this model parameter (bias of weight).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.CoefficientStatistics.Index">
-            <summary>
-            The index of the feature, in the Features vector, to which this model parameter (bias of weight) corresponds to.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.ModelStatisticsBase">
-            <summary>
-            Statistics for linear model parameters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.ModelStatisticsBase.SaveSummaryInKeyValuePairs(Microsoft.ML.DataViewSchema.Column,System.Int32,System.Collections.Generic.List{System.Collections.Generic.KeyValuePair{System.String,System.Object}})">
-            <summary>
-            Support method for linear models and <see cref="T:Microsoft.ML.Model.ICanGetSummaryInKeyValuePairs"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearModelParameterStatistics">
-            <summary>
-            Statistics for linear model parameters.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LinearModelParameterStatistics._weights">
-            <summary>
-            The weights of the LinearModelParams trained.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LinearModelParameterStatistics._bias">
-            <summary>
-            The bias of the LinearModelParams trained.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameterStatistics.GetBiasStatisticsForValue(System.Single)">
-            <summary>
-            Computes the standart deviation, Z-Score and p-Value for the value being passed as the bias.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameterStatistics.GetBiasStatistics">
-            <summary>
-            Computes the standart deviation, Z-Score and p-Value for the calculated bias.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameterStatistics.GetWeightsCoefficientStatistics(System.Int32)">
-            <summary>
-            Gets the coefficient statistics as an object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameterStatistics.SaveText(System.IO.TextWriter,Microsoft.ML.DataViewSchema.Column,System.Int32)">
-            <summary>
-            Saves the statistics in Text format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearModelParameterStatistics.SaveSummaryInKeyValuePairs(Microsoft.ML.DataViewSchema.Column,System.Int32,System.Collections.Generic.List{System.Collections.Generic.KeyValuePair{System.String,System.Object}})">
-            <summary>
-            Support method for linear models and <see cref="T:Microsoft.ML.Model.ICanGetSummaryInKeyValuePairs"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.LabelColumn">
-            <summary>
-            The label column that the trainer expects.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.MetaMulticlassTrainer{`0,`1}.OptionsBase,System.String,System.String,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.IPredictorProducing{System.Single}},Microsoft.ML.IPredictorProducing{System.Single}},Microsoft.ML.Calibrators.ICalibratorTrainer)">
-            <summary>
-            Initializes the <see cref="T:Microsoft.ML.Trainers.MetaMulticlassTrainer`2"/> from the <see cref="T:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.OptionsBase"/> class.
-            </summary>
-            <param name="env">The private instance of the <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="options">The legacy arguments <see cref="T:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.OptionsBase"/>class.</param>
-            <param name="name">The component name.</param>
-            <param name="labelColumn">The label column for the metalinear trainer and the binary trainer.</param>
-            <param name="singleEstimator">The binary estimator.</param>
-            <param name="calibrator">The calibrator. If a calibrator is not explicitly provided, it will default to <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorTrainer"/></param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.Microsoft#ML#ITrainer{Microsoft#ML#IPredictor}#Train(Microsoft.ML.TrainContext)">
-            <summary>
-            The legacy train method.
-            </summary>
-            <param name="context">The trainig context for this learner.</param>
-            <returns>The trained model.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-             Gets the output columns.
-            </summary>
-            <param name="inputSchema">The input schema. </param>
-            <returns>The output <see cref="T:Microsoft.ML.SchemaShape"/></returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.MetaMulticlassTrainer`2.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Fits the data to the trainer.
-            </summary>
-            <param name="input">The input data to fit to.</param>
-            <returns>The transformer.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a multiclass Naive Bayes model that supports binary feature values.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [NaiveBayes](xref:Microsoft.ML.StandardTrainersCatalog.NaiveBayes(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             [Naive Bayes](https://en.wikipedia.org/wiki/Naive_Bayes_classifier)
-             is a probabilistic classifier that can be used for multiclass problems.
-             Using Bayes' theorem, the conditional probability for a sample belonging to a class
-             can be calculated based on the sample count for each feature combination groups.
-             However, Naive Bayes Classifier is feasible only if the number of features and
-             the values each feature can take is relatively small.
-             It assumes independence among the presence of features in a class even though
-             they may be dependent on each other.
-             This multi-class trainer accepts "binary" feature values of type float:
-             feature values that are greater than zero are treated as `true` and feature values
-             that are less or equal to 0 are treated as `false`.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.NaiveBayes(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String)"/>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer.PredictionKind">
-            <summary> Return the type of prediction task.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer.Info">
-            <summary>
-            Auxiliary information about the trainer in terms of its capabilities
-            and requirements.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="featureColumn">The name of the feature column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters">
-            <summary>
-            Model parameters for <see cref="T:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.PredictionKind">
-            <summary> Return the type of prediction task.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.GetLabelHistogram">
-            <summary>
-            Get the label histogram.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.GetLabelHistogramLong">
-            <summary>
-            Get the label histogram with generic type long.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.GetFeatureHistogram">
-            <summary>
-            Get the feature histogram.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.GetFeatureHistogramLong">
-            <summary>
-            Get the feature histogram with generic type long.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Int64[],System.Int64[][],System.Int32)">
-            <summary>
-            Instantiates new model parameters from trained model.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="labelHistogram">The histogram of labels.</param>
-            <param name="featureHistogram">The feature histogram.</param>
-            <param name="featureCount">The number of features.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <remarks>
-            The unit test TestEntryPoints.LoadEntryPointModel() exercises the ReadIntArrary(int size) codepath below
-            as its ctx.Header.ModelVerWritten is 0x00010001, and the persistent model that gets loaded and executed
-            for this unit test is located at test\data\backcompat\ep_model3.zip/>
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.Microsoft#ML#Model#OnnxConverter#ISingleCanSaveOnnx#SaveAsOnnx(Microsoft.ML.Model.OnnxConverter.OnnxContext,System.String[],System.String)">
-            <summary>
-            Creates an Onnx inferencing model by vectorizing and following the logic found in <see cref="M:Microsoft.ML.Trainers.NaiveBayesMulticlassModelParameters.Map(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OneVersusAllTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a one-versus-all multi-class classifier that uses the specified binary classifier.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [OneVersusAll](xref:Microsoft.ML.StandardTrainersCatalog.OneVersusAll``1(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.Data.BinaryPredictionTransformer{``0},``0},System.String,System.Boolean,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}},System.Int32,System.Boolean)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Depends on the underlying binary classifier |
-             | Is caching required? | Yes |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             In one-versus-all (OVA) strategy, a binary classification algorithm is used to train one classifier for each class,
-             which distinguishes that class from all other classes. Prediction is then performed by running
-             these binary classifiers and choosing the prediction with the highest confidence score.
-             This algorithm can be used with any of the binary classifiers in ML.NET. A few binary classifiers
-             already have implementation for multi-class problems, thus users can choose either one depending on the context.
-             The OVA version of a binary classifier, such as wrapping a <xref:Microsoft.ML.Trainers.LightGbm.LightGbmBinaryTrainer>,
-             can be different from <xref:Microsoft.ML.Trainers.LightGbm.LightGbmMulticlassTrainer>, which develops a multi-class classifier directly.
-             Note that even if the classifier indicates that it does not need caching, OneVersusAll will always
-             request caching, as it will be performing multiple passes over the data set.
-             This trainer will request normalization from the data pipeline if the classifier indicates it would benefit from it.
-            
-             This can allow you to exploit trainers that do not naturally have a
-             multiclass option, for example, using the <xref:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer>
-             to solve a multiclass problem.
-             Alternately, it can allow ML.NET to solve a "simpler" problem even in the cases
-             where the trainer has a multiclass option, but using it directly is not
-             practical due to, usually, memory constraints. For example, while a multiclass
-             logistic regression is a more principled way to solve a multiclass problem, it
-             requires that the trainer store a lot more intermediate state in the form of
-             L-BFGS history for all classes *simultaneously*, rather than just one-by-one
-             as would be needed for a one-versus-all classification model.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.OneVersusAll``1(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.Data.BinaryPredictionTransformer{``0},``0},System.String,System.Boolean,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}},System.Int32,System.Boolean)" />
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OneVersusAllTrainer.Options">
-            <summary>
-            Options passed to <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer"/>
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OneVersusAllTrainer.Options.UseProbabilities">
-            <summary>
-            Whether to use probabilities (vs. raw outputs) to identify top-score category.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OneVersusAllTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.OneVersusAllTrainer.Options)">
-            <summary>
-            Constructs a <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer"/> trainer supplying a <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer.Options"/>.
-            </summary>
-            <param name="env">The private <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> for this estimator.</param>
-            <param name="options">The legacy <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer.Options"/></param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OneVersusAllTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.IPredictorProducing{System.Single}},Microsoft.ML.IPredictorProducing{System.Single}},System.String,System.Boolean,Microsoft.ML.Calibrators.ICalibratorTrainer,System.Int32,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer"/>.
-            </summary>
-            <param name="env">The <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> instance.</param>
-            <param name="binaryEstimator">An instance of a binary <see cref="T:Microsoft.ML.Trainers.ITrainerEstimator`2"/> used as the base trainer.</param>
-            <param name="calibrator">The calibrator. If a calibrator is not provided, it will default to <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorTrainer"/></param>
-            <param name="labelColumnName">The name of the label colum.</param>
-            <param name="imputeMissingLabelsAsNegative">If true will treat missing labels as negative labels.</param>
-            <param name="maximumCalibrationExampleCount">Number of instances to train the calibrator.</param>
-            <param name="useProbabilities">Use probabilities (vs. raw outputs) to identify top-score category.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OneVersusAllTrainer.Fit(Microsoft.ML.IDataView)">
-            <summary> Trains a <see cref="T:Microsoft.ML.Data.MulticlassPredictionTransformer`1"/> model.</summary>
-            <param name="input">The input data.</param>
-            <returns>A <see cref="T:Microsoft.ML.Data.MulticlassPredictionTransformer`1"/> model./></returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OneVersusAllModelParameters">
-            <summary>
-            Model parameters for <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.OneVersusAllModelParameters.SubModelParameters">
-            <summary>
-            Retrieves the model parameters.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.OneVersusAllModelParameters.PredictionKind">
-            <summary>
-            The type of the prediction task.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OneVersusAllModelParameters.OutputFormula">
-            <summary>
-            Function applied to output of predictors. Assume that we have n predictors (one per class) and for the i-th predictor,
-            y_i is its raw output and p_i is its probability output. Note that not all predictors are able to produce probability output.
-            <para>
-            <see cref="F:Microsoft.ML.Trainers.OneVersusAllModelParameters.OutputFormula.Raw"/>: output the result of predictors without post-processing. Output is [y_1, ..., y_n].
-            <see cref="F:Microsoft.ML.Trainers.OneVersusAllModelParameters.OutputFormula.ProbabilityNormalization"/>: fetch probability output of each class probability from provided predictors and make sure the sume of class probabilities is one.
-            Output is [p_1 / (p_1 + ... + p_n), ..., p_n / (p_1 + ... + p_n)].
-            <see cref="F:Microsoft.ML.Trainers.OneVersusAllModelParameters.OutputFormula.Softmax"/>: Generate probability by feeding raw outputs to softmax function. Output is [z_1, ..., z_n], where z_i is exp(y_i) / (exp(y_1) + ... + exp(y_n)).
-            </para>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OneVersusAllModelParameters.Create(Microsoft.ML.Runtime.IHost,Microsoft.ML.IPredictorProducing{System.Single}[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Trainers.OneVersusAllModelParameters"/> from an array of predictors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OneVersusAllModelParameters.ImplDist.GetMapper">
-            <summary>
-            Each predictor produces a probability of a class. All classes' probabilities are normalized so that
-            their sum is one.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a pairwise coupling multi-class classifier that uses the specified binary classifier.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [PairwiseCoupling](xref:Microsoft.ML.StandardTrainersCatalog.PairwiseCoupling``1(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{``0},``0},System.String,System.Boolean,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}},System.Int32)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Depends on the underlying binary classifier |
-             | Is caching required? | Yes |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | No |
-            
-             ### Training Algorithm Details
-             In this strategy, a binary classification algorithm is trained on each pair of classes.
-             The pairs are unordered but created with replacement: so, if there were three classes, 0, 1,
-             2, we would train classifiers for the pairs (0,0), (0,1), (0,2), (1,1), (1,2),
-             and (2,2). For each binary classifier, an input data point is considered a
-             positive example if it is in either of the two classes in the pair, and a
-             negative example otherwise. At prediction time, the probabilities for each
-             pair of classes is considered as the probability of being in either class of
-             the pair given the data, and the final predictive probabilities out of that
-             per class are calculated given the probability that an example is in any given
-             pair.
-            
-             This can allow you to exploit trainers that do not naturally have a
-             multiclass option, for example, using the <xref:Microsoft.ML.Trainers.FastTree.FastTreeBinaryTrainer>
-             to solve a multiclass problem.
-             Alternately, it can allow ML.NET to solve a "simpler" problem even in the cases
-             where the trainer has a multiclass option, but using it directly is not
-             practical due to, usually, memory constraints. For example, while a multiclass
-             logistic regression is a more principled way to solve a multiclass problem, it
-             requires that the trainer store a lot more intermediate state in the form of
-             L-BFGS history for all classes *simultaneously*, rather than just one-by-one
-             as would be needed for a pairwise coupling classification model.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.PairwiseCoupling``1(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{``0},``0},System.String,System.Boolean,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}},System.Int32)" />
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer.Options">
-            <summary>
-            Options passed to <see cref="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PairwiseCouplingTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.PairwiseCouplingTrainer.Options)">
-            <summary>
-            Constructs a <see cref="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer"/> trainer supplying the base trainer to use, for the classification task
-            through the <see cref="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer.Options"/>Options.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PairwiseCouplingTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.IPredictorProducing{System.Single}},Microsoft.ML.IPredictorProducing{System.Single}},System.String,System.Boolean,Microsoft.ML.Calibrators.ICalibratorTrainer,System.Int32)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer"/>
-            </summary>
-            <param name="env">The <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/> instance.</param>
-            <param name="binaryEstimator">An instance of a binary <see cref="T:Microsoft.ML.Trainers.ITrainerEstimator`2"/> used as the base trainer.</param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="imputeMissingLabelsAsNegative">Whether to treat missing labels as having negative labels, instead of keeping them missing.</param>
-            <param name="calibrator">The calibrator to use for each model instance. If a calibrator is not explicitely provided, it will default to <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorTrainer"/></param>
-            <param name="maximumCalibrationExampleCount">Number of instances to train the calibrator.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PairwiseCouplingTrainer.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Fits the data to the transformer
-            </summary>
-            <param name="input">The input data.</param>
-            <returns>The trained predictor.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PairwiseCouplingModelParameters">
-            <summary>
-            Model parameters for <see cref="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.PairwiseCouplingModelParameters.PredictionKind">
-            <summary> Return the type of prediction task.</summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.AveragedLinearOptions">
-            <summary>
-            Arguments class for averaged linear trainers.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.LearningRate">
-            <summary>
-            Learning rate.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.DecreaseLearningRate">
-            <summary>
-            Determine whether to decrease the <see cref="F:Microsoft.ML.Trainers.AveragedLinearOptions.LearningRate"/> or not.
-            </summary>
-            <value>
-            <see langword="true" /> to decrease the <see cref="F:Microsoft.ML.Trainers.AveragedLinearOptions.LearningRate"/> as iterations progress; otherwise, <see langword="false" />.
-            Default is <see langword="false" />. The learning rate will be reduced with every weight update proportional to the square root of the number of updates.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.ResetWeightsAfterXExamples">
-            <summary>
-            Number of examples after which weights will be reset to the current average.
-            </summary>
-            <value>
-            Default is <see langword="null" />, which disables this feature.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.LazyUpdate">
-            <summary>
-            Determines when to update averaged weights.
-            </summary>
-            <value>
-            <see langword="true" /> to update averaged weights only when loss is nonzero.
-            <see langword="false" /> to update averaged weights on every example.
-            Default is <see langword="true" />.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.L2Regularization">
-            <summary>
-            The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.RecencyGain">
-            <summary>
-            Extra weight given to more recent updates.
-            </summary>
-            <value>
-            Default is 0, i.e. no extra gain.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.RecencyGainMultiplicative">
-            <summary>
-            Determines whether <see cref="F:Microsoft.ML.Trainers.AveragedLinearOptions.RecencyGain"/> is multiplicative or additive.
-            </summary>
-            <value>
-            <see langword="true" /> means <see cref="F:Microsoft.ML.Trainers.AveragedLinearOptions.RecencyGain"/> is multiplicative.
-            <see langword="false" /> means <see cref="F:Microsoft.ML.Trainers.AveragedLinearOptions.RecencyGain"/> is additive.
-            Default is <see langword="false" />.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.Averaged">
-            <summary>
-            Determines whether to do averaging or not.
-            </summary>
-            <value>
-            <see langword="true" /> to do averaging; otherwise, <see langword="false" />.
-            Default is <see langword="true" />.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedLinearOptions.AveragedTolerance">
-            <summary>
-            The inexactness tolerance for averaging.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.AveragedLinearTrainer`2">
-            <summary>
-            Base class for averaged linear trainers.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.AveragedLinearTrainer`2.AveragedTrainStateBase.AveragedMargin(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Return the raw margin from the decision hyperplane
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.AveragedLinearTrainer`2.AveragedTrainStateBase.IncrementAverageNonLazy">
-            <summary>
-            Add current weights and bias to average weights/bias.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a linear binary classification model trained with the averaged perceptron.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [AveragedPerceptron](xref:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32))
-             or [AveragedPerceptron(Options)](xref:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification-no-prob.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             The perceptron is a classification algorithm that makes its predictions by finding a separating hyperplane.
-             For instance, with feature values $f_0, f_1,..., f_{D-1}$, the prediction is given by determining what side of the hyperplane the point falls into.
-             That is the same as the sign of the feautures' weighted sum, i.e. $\sum_{i = 0}^{D-1} (w_i * f_i) + b$, where $w_0, w_1,..., w_{D-1}$
-             are the weights computed by the algorithm, and $b$ is the bias computed by the algorithm.
-            
-             The perceptron is an online algorithm, which means it processes the instances in the training set one at a time.
-             It starts with a set of initial weights (zero, random, or initialized from a previous learner). Then, for each example in the training set, the weighted sum of the features is computed.
-             If this value has the same sign as the label of the current example, the weights remain the same. If they have opposite signs,
-             the weights vector is updated by either adding or subtracting (if the label is positive or negative, respectively) the feature vector of the current example,
-             multiplied by a factor 0 < a <= 1, called the learning rate. In a generalization of this algorithm, the weights are updated by adding the feature vector multiplied by the learning rate,
-             and by the gradient of some loss function (in the specific case described above, the loss is hinge-loss, whose gradient is 1 when it is non-zero).
-            
-             In Averaged Perceptron (aka voted-perceptron), for each iteration, i.e. pass through the training data, a weight vector is calculated as explained above.
-             The final prediction is then calculated by averaging the weighted sum from each weight vector and looking at the sign of the result.
-            
-             For more information see [Wikipedia entry for Perceptron](https://en.wikipedia.org/wiki/Perceptron)
-             or [Large Margin Classification Using the Perceptron Algorithm](https://citeseer.ist.psu.edu/viewdoc/summary?doi=10.1.1.48.8200).
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32)" />
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer"/> as used in
-            <see cref="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options.ClassificationLossFunctionFactory">
-            <summary>
-            A custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options.LossFunction">
-            <summary>
-            A custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options.Calibrator">
-            <summary>
-            The <a href="https://en.wikipedia.org/wiki/Calibration_(statistics)">calibrator</a> for producing probabilities. Default is exponential (aka Platt) calibration.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options.MaxCalibrationExamples">
-            <summary>
-            The maximum number of examples to use when training the calibrator.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.AveragedPerceptronTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32)">
-            <summary>
-            Trains a linear binary classifier using the averaged perceptron.
-            <a href='https://en.wikipedia.org/wiki/Perceptron'>Wikipedia entry for Perceptron</a>
-            </summary>
-            <param name="env">The local instance of the <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/></param>
-            <param name="lossFunction">The classification loss function. </param>
-            <param name="labelColumnName">The name of the label column. </param>
-            <param name="featureColumnName">The name of the feature column.</param>
-            <param name="learningRate">The learning rate. </param>
-            <param name="decreaseLearningRate">Whether to decrease learning rate as iterations progress.</param>
-            <param name="l2Regularization">Weight of L2 regularization term.</param>
-            <param name="numberOfIterations">The number of training iterations.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearSvmTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a linear binary classification model
-             trained with Linear SVM.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [LinearSvm](xref:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32))
-             or [LinearSvm(Options)](xref:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification-no-prob.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             Linear [SVM](https://en.wikipedia.org/wiki/Support-vector_machine#Linear_SVM) implements
-             an algorithm that finds a hyperplane in the feature space for binary classification, by solving an [SVM problem](https://en.wikipedia.org/wiki/Support-vector_machine#Computing_the_SVM_classifier).
-             For instance, with feature values $f_0, f_1,..., f_{D-1}$, the prediction is given by determining what side of the hyperplane the point falls into.
-             That is the same as the sign of the feautures' weighted sum, i.e. $\sum_{i = 0}^{D-1} \left(w_i * f_i \right) + b$, where $w_0, w_1,..., w_{D-1}$
-             are the weights computed by the algorithm, and $b$ is the bias computed by the algorithm.
-            
-             Linear SVM implements the PEGASOS method, which alternates between stochastic gradient descent steps and projection steps,
-             introduced in [this paper](http://ttic.uchicago.edu/~shai/papers/ShalevSiSr07.pdf) by Shalev-Shwartz, Singer and Srebro.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32)"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LinearSvmTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.LinearSvmTrainer"/> as used in
-            <see cref="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.LinearSvmTrainer.Options.ExampleWeightColumnName">
-            <summary>
-            Column to use for example weight.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearSvmTrainer.TrainState.ProcessDataInstance(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,System.Single)">
-            <summary>
-            Observe an example and update weights if necesary.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearSvmTrainer.TrainState.UpdateWeights(Microsoft.ML.Data.VBuffer{System.Single}@,System.Single)">
-            <summary>
-            Updates the weights at the end of the batch. Since weightsUpdate can be an instance
-            feature vector, this function should not change the contents of weightsUpdate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearSvmTrainer.TrainState.Margin(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Return the raw margin from the decision hyperplane.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearSvmTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,System.Int32)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LinearSvmTrainer"/>.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The name of the label column. </param>
-            <param name="featureColumn">The name of the feature column.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="numberOfIterations">The number of training iteraitons.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a linear regression model using
-             <a href="https://en.wikipedia.org/wiki/Gradient_descent">Online Gradient Descent (OGD)</a> for estimating the parameters of the linear regression model.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [OnlineGradientDescent](xref:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,Microsoft.ML.Trainers.IRegressionLoss,System.Single,System.Boolean,System.Single,System.Int32))
-             or [OnlineGradientDescent(Options)](xref:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-regression.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Regression |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             Stochastic gradient descent uses a simple yet efficient iterative technique to fit model coefficients using error gradients for convex loss functions.
-             Online Gradient Descent (OGD) implements the standard (non-batch) stochastic gradient descent, with a choice of loss functions,
-             and an option to update the weight vector using the average of the vectors seen over time (averaged argument is set to True by default).
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,Microsoft.ML.Trainers.IRegressionLoss,System.Single,System.Boolean,System.Single,System.Int32)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer"/> as used in
-            [OnlineGradientDescent(Options)](xref:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options.LossFunction">
-            <summary>
-            A custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options.#ctor">
-            <summary>
-            Create a new <see cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options"/> object with default values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineGradientDescentTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Single,System.Boolean,System.Single,System.Int32,Microsoft.ML.Trainers.IRegressionLoss)">
-            <summary>
-            Trains a new <see cref="T:Microsoft.ML.Data.RegressionPredictionTransformer`1"/>.
-            </summary>
-            <param name="env">The pricate instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/>.</param>
-            <param name="labelColumn">Name of the label column.</param>
-            <param name="featureColumn">Name of the feature column.</param>
-            <param name="learningRate">The learning Rate.</param>
-            <param name="decreaseLearningRate">Decrease learning rate as iterations progress.</param>
-            <param name="l2Regularization">Weight of L2 regularization term.</param>
-            <param name="numberOfIterations">Number of training iterations through the data.</param>
-            <param name="lossFunction">The custom loss functions. Defaults to <see cref="T:Microsoft.ML.Trainers.SquaredLoss"/> if not provided.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OnlineLinearOptions">
-            <summary>
-            Arguments class for online linear trainers.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearOptions.NumberOfIterations">
-            <summary>
-            Number of passes through the training dataset.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearOptions.InitialWeights">
-            <summary>
-            Initial weights and bias, comma-separated.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearOptions.InitialWeightsDiameter">
-            <summary>
-            Initial weights and bias scale.
-            </summary>
-            <value>
-            This property is only used if the provided value is positive and <see cref="F:Microsoft.ML.Trainers.OnlineLinearOptions.InitialWeights"/> is not specified.
-            The weights and bias will be randomly selected from InitialWeights * [-0.5,0.5] interval with uniform distribution.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearOptions.Shuffle">
-            <summary>
-            Determines whether to shuffle data for each training iteration.
-            </summary>
-            <value>
-            <see langword="true" /> to shuffle data for each training iteration; otherwise, <see langword="false" />.
-            Default is <see langword="true" />.
-            </value>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OnlineLinearTrainer`2">
-            <summary>
-            Base class for online linear trainers. Online trainers can be updated incrementally with additional data.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase">
-            <summary>
-            An object to hold the mutable updatable state for the online linear trainers. Specific algorithms should subclass
-            this, and return the instance via <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.MakeState(Microsoft.ML.Runtime.IChannel,System.Int32,Microsoft.ML.Trainers.LinearModelParameters)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Iteration">
-            <summary>
-            The number of iterations. Incremented by <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.BeginIteration(Microsoft.ML.Runtime.IChannel)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.NumIterExamples">
-            <summary>
-            The number of examples in the current iteration. Incremented by <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.ProcessDataInstance(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,System.Single)"/>,
-            and reset by <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.BeginIteration(Microsoft.ML.Runtime.IChannel)"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Weights">
-            <summary>
-            Current weights. The weights vector is considered to be scaled by <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.WeightsScale"/>. Storing this separately
-            allows us to avoid the overhead of an explicit scaling, which some algorithms will attempt to do on each example's update.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.WeightsScale">
-            <summary>
-            The implicit scaling factor for <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Weights"/>. Note that this does not affect <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Bias"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Bias">
-            <summary>
-            The intercept term.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.ScaleWeights">
-            <summary>
-            Propagates the <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.WeightsScale"/> to the <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Weights"/> vector.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.ScaleWeightsIfNeeded">
-            <summary>
-            Conditionally propagates the <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.WeightsScale"/> to the <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Weights"/> vector
-            when it reaches a scale where additions to weights would start dropping too much precision.
-            ("Too much" is mostly empirically defined.)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.BeginIteration(Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            Called by <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.OnlineLinearTrainer{`0,`1}.TrainStateBase)"/> at the start of a pass over the dataset.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.FinishIteration(Microsoft.ML.Runtime.IChannel)">
-            <summary>
-            Called by <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.OnlineLinearTrainer{`0,`1}.TrainStateBase)"/> after a pass over the dataset.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.ProcessDataInstance(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,System.Single)">
-            <summary>
-            This should be overridden by derived classes. This implementation simply increments <see cref="F:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.NumIterExamples"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.CurrentMargin(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Return the raw margin from the decision hyperplane
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.Margin(Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            The default implementation just calls <see cref="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.TrainStateBase.CurrentMargin(Microsoft.ML.Data.VBuffer{System.Single}@)"/>.
-            </summary>
-            <param name="feat"></param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.OnlineLinearTrainer`2.Fit(Microsoft.ML.IDataView,Microsoft.ML.Trainers.LinearModelParameters)">
-            <summary>
-            Continues the training of a <see cref="T:Microsoft.ML.Trainers.OnlineLinearTrainer`2"/> using an already trained <paramref name="modelParameters"/> and returns a <see cref="T:Microsoft.ML.ITransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a Poisson regression model.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [LbfgsPoissonRegression](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean))
-             or [LbfgsPoissonRegression(Options)](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-regression.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Regression |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             [Poisson regression](https://en.wikipedia.org/wiki/Poisson_regression) is a parameterized regression method.
-             It assumes that the log of the conditional mean of the dependent variable follows a linear function of the dependent variables.
-             Assuming that the dependent variable follows a Poisson distribution, the regression parameters can be estimated by maximizing the likelihood of the obtained observations.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer"/> as used in
-            [LbfgsPoissonRegression(Options)](xref:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="featureColumn">The name of the feature column.</param>
-            <param name="weights">The name for the example weight column.</param>
-            <param name="l1Weight">Weight of L1 regularizer term.</param>
-            <param name="l2Weight">Weight of L2 regularizer term.</param>
-            <param name="optimizationTolerance">Threshold for optimizer convergence.</param>
-            <param name="memorySize">Memory size for <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>. Low=faster, less accurate.</param>
-            <param name="enforceNoNegativity">Enforce non-negative weights.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer"/>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Fit(Microsoft.ML.IDataView,Microsoft.ML.Trainers.LinearModelParameters)">
-            <summary>
-            Continues the training of a <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer"/> using an already trained <paramref name="linearModel"/> and returns
-            a <see cref="T:Microsoft.ML.Data.RegressionPredictionTransformer`1"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.LinearTrainerBase`2.ShuffleData">
-            <summary>
-            Whether data is to be shuffled every epoch.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LinearTrainerBase`2.PrepareDataFromTrainingExamples(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,System.Int32@)">
-            <summary>
-            This method ensures that the data meets the requirements of this trainer and its
-            subclasses, injects necessary transforms, and throws if it couldn't meet them.
-            </summary>
-            <param name="ch">The channel</param>
-            <param name="examples">The training examples</param>
-            <param name="weightSetCount">Gets the length of weights and bias array. For binary classification and regression,
-            this is 1. For multi-class classification, this equals the number of classes on the label.</param>
-            <returns>A potentially modified version of <paramref name="examples"/></returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase">
-            <summary>
-            Options for the SDCA-based trainers.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.L2Regularization">
-            <summary>
-            The L2 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.L1Regularization">
-            <summary>
-            The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.NumberOfThreads">
-            <summary>
-            The degree of lock-free parallelism.
-            </summary>
-            <value>
-            Defaults to automatic depending on data sparseness. Determinism is not guaranteed.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.ConvergenceTolerance">
-            <summary>
-            The tolerance for the ratio between duality gap and primal loss for convergence checking.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.MaximumNumberOfIterations">
-            <summary>
-            The maximum number of passes to perform over the data.
-            </summary>
-            <value>
-            Set to 1 to simulate online learning. Defaults to automatic.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.Shuffle">
-            <summary>
-            Determines whether to shuffle data for each training iteration.
-            </summary>
-            <value>
-            <see langword="true" /> to shuffle data for each training iteration; otherwise, <see langword="false" />.
-            Default is <see langword="true" />.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.ConvergenceCheckFrequency">
-            <summary>
-            Determines the frequency of checking for convergence in terms of number of iterations.
-            </summary>
-            <value>
-            Set to zero or negative value to disable checking. If <see langword="null"/>, it defaults to <see cref="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.NumberOfThreads"/>."
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaTrainerBase`3.OptionsBase.BiasLearningRate">
-            <summary>
-            The learning rate for adjusting bias from being regularized.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.InitializeConvergenceMetrics(System.String[]@,System.Double[]@)">
-            <summary>
-            Returns the names of the metrics reported by <see cref="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.CheckConvergence(Microsoft.ML.Runtime.IProgressChannel,System.Int32,Microsoft.ML.Trainers.FloatLabelCursor.Factory,Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.DualsTableBase,Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.IdToIdxLookup,Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single[],System.Single[],System.Int64,System.Double[],System.Double@,System.Int32@)"/>, as well as the initial values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.TrainWithoutLock(Microsoft.ML.Runtime.IProgressChannelProvider,Microsoft.ML.Trainers.FloatLabelCursor.Factory,System.Random,Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.IdToIdxLookup,System.Int32,Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.DualsTableBase,System.Single[],System.Single[],System.Single,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[])">
-            <summary>
-            Train the SDCA optimizer with one iteration over the entire training examples.
-            </summary>
-            <param name="progress">The progress reporting channel.</param>
-            <param name="cursorFactory">The cursor factory to create cursors over the training examples.</param>
-            <param name="rand">
-            The random number generator to generate random numbers for randomized shuffling of the training examples.
-            It may be null. When it is null, the training examples are not shuffled and are cursored in its original order.
-            </param>
-            <param name="idToIdx">
-            The id to index mapping. May be null. If it is null, the index is given by the
-            corresponding lower bits of the id.
-            </param>
-            <param name="numThreads">The number of threads used in parallel training. It is used in computing the dual update.</param>
-            <param name="duals">
-            The dual variables. For binary classification and regression, there is one dual variable per row.
-            For multiclass classification, there is one dual variable per class per row.
-            </param>
-            <param name="biasReg">The array containing regularized bias terms. For binary classification or regression,
-            it contains only a single value. For multiclass classification its size equals the number of classes.</param>
-            <param name="invariants">
-            The dual updates invariants. It may be null. If not null, it holds an array of pre-computed numerical quantities
-            that depend on the training example label and features, not the value of dual variables.
-            </param>
-            <param name="lambdaNInv">The precomputed numerical quantity 1 / (l2Const * (count of training examples)).</param>
-            <param name="weights">
-            The weights array. For binary classification or regression, it consists of only one VBuffer.
-            For multiclass classification, its size equals the number of classes.
-            </param>
-            <param name="biasUnreg">
-            The array containing unregularized bias terms. For binary classification or regression,
-            it contains only a single value. For multiclass classification its size equals the number of classes.
-            </param>
-            <param name="l1IntermediateWeights">
-            The array holding the intermediate weights prior to making L1 shrinkage adjustment. It is null iff l1Threshold is zero.
-            Otherwise, for binary classification or regression, it consists of only one VBuffer;
-            for multiclass classification, its size equals the number of classes.
-            </param>
-            <param name="l1IntermediateBias">
-            The array holding the intermediate bias prior to making L1 shrinkage adjustment. It is null iff l1Threshold is zero.
-            Otherwise, for binary classification or regression, it consists of only one value;
-            for multiclass classification, its size equals the number of classes.
-            </param>
-            <param name="featureNormSquared">
-            The array holding the pre-computed squared L2-norm of features for each training example. It may be null. It is always null for
-            binary classification and regression because this quantity is not needed.
-            </param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.CheckConvergence(Microsoft.ML.Runtime.IProgressChannel,System.Int32,Microsoft.ML.Trainers.FloatLabelCursor.Factory,Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.DualsTableBase,Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.IdToIdxLookup,Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single[],System.Single[],System.Int64,System.Double[],System.Double@,System.Int32@)">
-            <summary>
-             Returns whether the algorithm converged, and also populates the <paramref name="metrics"/>
-            (which is expected to be parallel to the names returned by <see cref="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.InitializeConvergenceMetrics(System.String[]@,System.Double[]@)"/>).
-            When called, the <paramref name="metrics"/> is expected to hold the previously reported values.
-            </summary>
-            <param name="pch">The progress reporting channel.</param>
-            <param name="iter">The iteration number, zero based.</param>
-            <param name="cursorFactory">The cursor factory to create cursors over the training data.</param>
-            <param name="duals">
-            The dual variables. For binary classification and regression, there is one dual variable per row.
-            For multiclass classification, there is one dual variable per class per row.
-            </param>
-            <param name="idToIdx">
-            The id to index mapping. May be null. If it is null, the index is given by the
-            corresponding lower bits of the id.
-            </param>
-            <param name="weights">
-            The weights array. For binary classification or regression, it consists of only one VBuffer.
-            For multiclass classification, its size equals the number of classes.
-            </param>
-            <param name="bestWeights">
-            The weights array that corresponds to the best model obtained from the training iterations thus far.
-            </param>
-            <param name="biasUnreg">
-            The array containing unregularized bias terms. For binary classification or regression,
-            it contains only a single value. For multiclass classification its size equals the number of classes.
-            </param>
-            <param name="bestBiasUnreg">
-            The array containing unregularized bias terms corresponding to the best model obtained from the training iterations thus far.
-            For binary classification or regression, it contains only a single value.
-            For multiclass classification its size equals the number of classes.
-            </param>
-            <param name="biasReg">
-            The array containing regularized bias terms. For binary classification or regression,
-            it contains only a single value. For multiclass classification its size equals the number of classes.
-            </param>
-            <param name="bestBiasReg">
-            The array containing regularized bias terms corresponding to the best model obtained from the training iterations thus far.
-            For binary classification or regression, it contains only a single value.
-            For multiclass classification its size equals the number of classes.
-            </param>
-            <param name="count">
-            The count of (valid) training examples. Bad training examples are excluded from this count.
-            </param>
-            <param name="metrics">
-            The array of metrics for progress reporting.
-            </param>
-            <param name="bestPrimalLoss">
-            The primal loss function value corresponding to the best model obtained thus far.
-            </param>
-            <param name="bestIter">The iteration number when the best model is obtained.</param>
-            <returns>Whether the optimization has converged.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.DualsTableBase">
-            <summary>
-            Encapsulates the common functionality of storing and
-            retrieving the dual variables.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.StandardArrayDualsTable">
-            <summary>
-            Implementation of <see cref="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.DualsTableBase"/> using a standard array.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.BigArrayDualsTable">
-            <summary>
-            Implementation of <see cref="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.DualsTableBase"/> using a big array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.GetIndexFromIdGetter(Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.IdToIdxLookup,System.Int32)">
-            <summary>
-            Returns a function delegate to retrieve index from id.
-            This is to avoid redundant conditional branches in the tight loop of training.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.GetIndexFromIdAndRowGetter(Microsoft.ML.Trainers.SdcaTrainerBase{`0,`1,`2}.IdToIdxLookup,System.Int32)">
-            <summary>
-            Returns a function delegate to retrieve index from id and row.
-            Only works if the cursor is not shuffled.
-            This is to avoid redundant conditional branches in the tight loop of training.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup">
-            <summary>
-            A hash table data structure to store Id of type <see cref="T:Microsoft.ML.Data.DataViewRowId"/>,
-            and accommodates size larger than 2 billion. This class is an extension based on BCL.
-            Two operations are supported: adding and retrieving an id with asymptotically constant complexity.
-            The bucket size are prime numbers, starting from 3 and grows to the next prime larger than
-            double the current size until it reaches the maximum possible size. When a table growth is triggered,
-            the table growing operation initializes a new larger bucket and rehash the existing entries to
-            the new bucket. Such operation has an expected complexity proportional to the size.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup.Count">
-            <summary>
-            Gets the count of id entries.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup.#ctor(System.Int64)">
-            <summary>
-            Initializes an instance of the <see cref="T:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup"/> class with the specified size.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup.Add(Microsoft.ML.Data.DataViewRowId)">
-            <summary>
-            Make sure the given id is in this lookup table and return the index of the id.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup.TryGetIndex(Microsoft.ML.Data.DataViewRowId,System.Int64@)">
-            <summary>
-            Find the index of the given id.
-            Returns a bool representing if id is present.
-            Index outputs the index that the id, -1 otherwise.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup.GetIndexCore(Microsoft.ML.Data.DataViewRowId,System.Int64)">
-            <summary>
-            Return the index of value, -1 if it is not present.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaTrainerBase`3.IdToIdxLookup.AddCore(Microsoft.ML.Data.DataViewRowId,System.Int64)">
-            <summary>
-            Adds the value as a TItem. Does not check whether the TItem is already present.
-            Returns the index of the added value.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.CompensatedSum">
-            <summary>
-            Sum with underflow compensation for better numerical stability.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaBinaryTrainerBase`1">
-            <summary>
-            SDCA is a general training algorithm for (generalized) linear models such as support vector machine, linear regression, logistic regression,
-            and so on. SDCA binary classification trainer family includes several sealed members:
-            (1) <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer"/> supports general loss functions and returns <see cref="T:Microsoft.ML.Trainers.LinearBinaryModelParameters"/>.
-            (2) <see cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer"/> essentially trains a regularized logistic regression model. Because logistic regression
-            naturally provide probability output, this generated model's type is <see cref="T:Microsoft.ML.Calibrators.CalibratedModelParametersBase`2"/>.
-            where <see langword="TSubModel"/> is <see cref="T:Microsoft.ML.Trainers.LinearBinaryModelParameters"/> and <see langword="TCalibrator "/> is <see cref="T:Microsoft.ML.Calibrators.PlattCalibrator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaBinaryTrainerBase`1.BinaryOptionsBase">
-            <summary>
-            Options for <see cref="T:Microsoft.ML.Trainers.SdcaBinaryTrainerBase`1"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaBinaryTrainerBase`1.BinaryOptionsBase.PositiveInstanceWeight">
-            <summary>
-            The weight to be applied to the positive class. This is useful for training with imbalanced data.
-            </summary>
-            <value>
-            Default value is 1, which means no extra weight.
-            </value>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaBinaryTrainerBase`1.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SdcaBinaryTrainerBase`1"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumnName">The label, or dependent variable.</param>
-            <param name="featureColumnName">The features, or independent variables.</param>
-            <param name="loss">The custom loss.</param>
-            <param name="weightColumnName">The optional example weights.</param>
-            <param name="l2Const">The L2 regularization hyperparameter.</param>
-            <param name="l1Threshold">The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maxIterations">The maximum number of passes to perform over the data.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a binary logistic regression classification model using the stochastic dual coordinate ascent method.
-             The trained model is <a href='https://en.wikipedia.org/wiki/Calibration_(statistics)'>calibrated</a> and can produce probability by feeding the output value of the
-             linear function to a <see cref="T:Microsoft.ML.Calibrators.PlattCalibrator"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [SdcaLogisticRegression](xref:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32}))
-             or [SdcaLogisticRegression(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-sdca.md)]
-            
-             [!include[regularization](~/../docs/samples/docs/api-reference/regularization-l1-l2.md)]
-            
-             [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer"/> as used in
-            [SdcaLogisticRegression(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a binary logistic regression classification model using the stochastic dual coordinate ascent method.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [SdcaNonCalibrated](xref:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32}))
-             or [SdcaNonCalibrated(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification-no-prob.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-sdca.md)]
-            
-             [!include[regularization](~/../docs/samples/docs/api-reference/regularization-l1-l2.md)]
-            
-             [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options.LossFunctionFactory">
-            <summary>
-            The custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-            <value>
-            If unspecified, <see cref="T:Microsoft.ML.Trainers.LogLoss"/> will be used.
-            </value>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options.LossFunction">
-            <summary>
-            The custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-            <value>
-            If unspecified, <see cref="T:Microsoft.ML.Trainers.LogLoss"/> will be used.
-            </value>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.CreatePredictor(Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])">
-            <summary>
-            Comparing with <see cref="M:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.CreatePredictor(Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])"/>,
-            <see cref="M:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.CreatePredictor(Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])"/> directly outputs a <see cref="T:Microsoft.ML.Trainers.LinearBinaryModelParameters"/> built from
-            the learned weights and bias without calibration.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LegacySdcaBinaryTrainer">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.LegacySdcaBinaryTrainer"/> is used to support classical command line tools where model is weakly-typed to
-            <see cref="T:Microsoft.ML.Model.IPredictorWithFeatureWeights`1"/>. Please do NOT use it whenever possible.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LegacySdcaBinaryTrainer.Options">
-            <summary>
-            Legacy configuration to SDCA in legacy framework.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LegacySdcaBinaryTrainer.CreatePredictor(Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[])">
-            <summary>
-            Weekly-typed function to create calibrated or uncalibrated predictors.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.L2Regularization">
-            <summary>
-            The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.NumberOfThreads">
-            <summary>
-            The degree of lock-free parallelism used by SGD.
-            </summary>
-            <value>
-            Defaults to automatic depending on data sparseness. Determinism is not guaranteed.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.ConvergenceTolerance">
-            <summary>
-            The convergence tolerance. If the exponential moving average of loss reductions falls below this tolerance,
-            the algorithm is deemed to have converged and will stop.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.NumberOfIterations">
-            <summary>
-            The maximum number of passes through the training dataset.
-            </summary>
-            <value>
-            Set to 1 to simulate online learning.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.LearningRate">
-            <summary>
-            The initial learning rate used by SGD.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.Shuffle">
-            <summary>
-            Determines whether to shuffle data for each training iteration.
-            </summary>
-            <value>
-            <see langword="true" /> to shuffle data for each training iteration; otherwise, <see langword="false" />.
-            Default is <see langword="true" />.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.PositiveInstanceWeight">
-            <summary>
-            The weight to be applied to the positive class. This is useful for training with imbalanced data.
-            </summary>
-            <value>
-            Default value is 1, which means no extra weight.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.CheckFrequency">
-            <summary>
-            Determines the frequency of checking for convergence in terms of number of iterations.
-            </summary>
-            <value>
-            Default equals <see cref="F:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.OptionsBase.NumberOfThreads"/>."
-            </value>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Int32,System.Double,System.Single)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="featureColumn">The name of the feature column.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="weightColumn">The name of the example weight column.</param>
-            <param name="maxIterations">The maximum number of iterations; set to 1 to simulate online learning.</param>
-            <param name="initLearningRate">The initial learning rate used by SGD.</param>
-            <param name="l2Weight">The L2 regularizer constant.</param>
-            <param name="loss">The loss function to use.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.SgdBinaryTrainerBase{`0}.OptionsBase,Microsoft.ML.Trainers.IClassificationLoss,System.Boolean)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="options">Advanced arguments to the algorithm.</param>
-            <param name="loss">Loss function would be minimized.</param>
-            <param name="doCalibration">Set to true if a calibration step should be happen after training. Use false otherwise.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.Fit(Microsoft.ML.IDataView,Microsoft.ML.Trainers.LinearModelParameters)">
-            <summary>
-            Continues the training of a <see cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer"/> using an already trained <paramref name="modelParameters"/> and returns a <see cref="T:Microsoft.ML.Data.BinaryPredictionTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.CreateModel(Microsoft.ML.Data.VBuffer{System.Single},System.Single)">
-            <summary>
-            <see cref="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.CreateModel(Microsoft.ML.Data.VBuffer{System.Single},System.Single)"/> implements a mechanism to craft a typed model out from linear weights and a bias.
-            It's used at the end of <see cref="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.TrainCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.LinearModelParameters,System.Int32)"/> to finalize the trained model.
-            Derived classes should implement <see cref="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.CreateModel(Microsoft.ML.Data.VBuffer{System.Single},System.Single)"/> because different trainers may produce different
-            types of models.
-            </summary>
-            <param name="weights">Weights of linear model.</param>
-            <param name="bias">Bias of linear model.</param>
-            <returns>A model built upon weights and bias. It can be as simple as a <see cref="T:Microsoft.ML.Trainers.LinearBinaryModelParameters"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.CreateLinearBinaryModelParameters(Microsoft.ML.Data.VBuffer{System.Single},System.Single)">
-            <summary>
-            A helper function used to create <see cref="T:Microsoft.ML.Trainers.LinearBinaryModelParameters"/> in implementations of <see cref="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.CreateModel(Microsoft.ML.Data.VBuffer{System.Single},System.Single)"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SgdCalibratedTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training logistic regression using a parallel stochastic gradient method.
-             The trained model is <a href='https://en.wikipedia.org/wiki/Calibration_(statistics)'>calibrated</a> and can produce probability by feeding the output value of the
-             linear function to a <see cref="T:Microsoft.ML.Calibrators.PlattCalibrator"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [SgdCalibrated](xref:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Double,System.Single))
-             or [SgdCalibrated(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)]
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Double,System.Single)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SgdCalibratedTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SgdCalibratedTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.SgdCalibratedTrainer"/> as used in
-            [SgdCalibrated(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdCalibratedTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="options">Advanced arguments to the algorithm.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdCalibratedTrainer.GetOutputColumnsCore(Microsoft.ML.SchemaShape)">
-            <summary>
-            Logistic regression's output can naturally be interpreted as probability, so this model has three output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdCalibratedTrainer.CreateModel(Microsoft.ML.Data.VBuffer{System.Single},System.Single)">
-            <summary>
-            Given weights and bias trained in <see cref="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.TrainCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.LinearModelParameters,System.Int32)"/>,
-            <see cref="M:Microsoft.ML.Trainers.SgdCalibratedTrainer.CreateModel(Microsoft.ML.Data.VBuffer{System.Single},System.Single)"/> produces the final calibrated linear model.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training logistic regression using a parallel stochastic gradient method.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [SgdNonCalibrated](xref:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Int32,System.Double,System.Single))
-             or [SgdNonCalibrated(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification-no-prob.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             [!include[io](~/../docs/samples/docs/api-reference/algo-details-sgd.md)]
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Int32,System.Double,System.Single)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer"/> as used in
-            [SgdNonCalibrated(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)).
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options.LossFunction">
-            <summary>
-            The loss function to use. Default is <see cref="T:Microsoft.ML.Trainers.LogLoss"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SgdNonCalibratedTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="options">Advanced arguments to the algorithm.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.LegacySgdBinaryTrainer">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.LegacySgdBinaryTrainer"/> is used to support classical command line
-            tools where model is weakly-typed to <see cref="T:Microsoft.ML.Model.IPredictorWithFeatureWeights`1"/>. Please do NOT use it
-            whenever possible.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LegacySgdBinaryTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Trainers.LegacySgdBinaryTrainer.Options)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="options">Advanced arguments to the algorithm.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.LegacySgdBinaryTrainer.GetOutputColumnsCore(Microsoft.ML.SchemaShape)">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.LogLoss"/> leads to logistic regression which naturally supports probability output. For other loss functions,
-            a calibrator would be added after <see cref="M:Microsoft.ML.Trainers.SgdBinaryTrainerBase`1.TrainCore(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,Microsoft.ML.Trainers.LinearModelParameters,System.Int32)"/>
-            finishing its job. Therefore, we always have three output columns in the legacy world.
-            </summary>
-            <param name="inputSchema"></param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.Sdca">
-            <summary>
-            A component to train an SDCA model.
-            </summary>
-            <summary>
-            The Entry Point for SDCA multiclass.
-            </summary>
-             <summary>
-            The Entry Point for the SDCA regressor.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a linear multiclass classifier model trained with a coordinate descent method.
-             Depending on the used loss function, the trained model can be, for example, maximum entropy classifier or multi-class support vector machine.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer for maximum entropy classifier, use [SdcaMaximumEntropy](xref:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})) or
-             [SdcaMaximumEntropy(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)).
-             To create this trainer for a [loss function](xref:Microsoft.ML.Trainers.ISupportSdcaClassificationLoss) (such as support vector machine's [hinge loss](xref:Microsoft.ML.Trainers.HingeLoss)) of your choice,
-             use [SdcaNonCalibrated](xref:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})) or
-             [SdcaNonCalibrated(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Scoring Function
-             This trains linear model to solve multiclass classification problems.
-             Assume that the number of classes is $m$ and number of features is $n$.
-             It assigns the $c$-th class a coefficient vector $\textbf{w}_c \in {\mathbb R}^n$ and a bias $b_c \in {\mathbb R}$, for $c=1,\dots,m$.
-             Given a feature vector $\textbf{x} \in {\mathbb R}^n$, the $c$-th class's score would be $\hat{y}^c = \textbf{w}_c^T \textbf{x} + b_c$.
-             If $\textbf{x}$ belongs to class $c$, then $\hat{y}^c$ should be much larger than 0.
-             In contrast, a $\hat{y}^c$ much smaller than 0 means the desired label should not be $c$.
-            
-             If and only if the trained model is a maximum entropy classifier, you can interpret the output score vector as the predicted class probabilities because [softmax function](https://en.wikipedia.org/wiki/Softmax_function) may be applied to post-process all classes' scores.
-             More specifically, the probability of $\textbf{x}$ belonging to class $c$ is computed by $\tilde{P}( c | \textbf{x} ) = \frac{ e^{\hat{y}^c} }{ \sum_{c' = 1}^m e^{\hat{y}^{c'}} }$ and store at the $c$-th element in the score vector.
-             In other cases, the output score vector is just $[\hat{y}^1, \dots, \hat{y}^m]$.
-            
-             ### Training Algorithm Details
-             The optimization algorithm is an extension of [a coordinate descent method](http://jmlr.org/papers/volume14/shalev-shwartz13a/shalev-shwartz13a.pdf)
-             following a similar path proposed in an earlier [paper](https://www.csie.ntu.edu.tw/~cjlin/papers/maxent_dual.pdf).
-             It is usually much faster than [L-BFGS](https://en.wikipedia.org/wiki/Limited-memory_BFGS) and
-             [truncated Newton methods](https://en.wikipedia.org/wiki/Truncated_Newton_method) for large-scale and sparse data sets.
-            
-             [!include[regularization](~/../docs/samples/docs/api-reference/regularization-l1-l2.md)]
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.MulticlassOptions">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.MulticlassOptions.LossFunctionFactory">
-            <summary>
-            The custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-            <value>
-            If unspecified, <see cref="T:Microsoft.ML.Trainers.LogLoss"/> will be used.
-            </value>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.MulticlassOptions.InternalLoss">
-            <summary>
-            Internal state of <see cref="P:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options.Loss"/> or storage of
-            a customized loss passed in. <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options"/> cannot set this field because its
-            loss function is always <see cref="T:Microsoft.ML.Trainers.LogLoss"/>. In addition, <see cref="F:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.MulticlassOptions.InternalLoss"/> and <see cref="T:Microsoft.ML.Trainers.LogLossFactory"/> are
-            the two fields used to determined the actual loss function inside the training framework of <see cref="T:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1"/>.
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The label, or dependent variable.</param>
-            <param name="featureColumn">The features, or independent variables.</param>
-            <param name="weights">The optional example weights.</param>
-            <param name="loss">The custom loss.</param>
-            <param name="l2Const">The L2 regularization hyperparameter.</param>
-            <param name="l1Threshold">The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maxIterations">The maximum number of passes to perform over the data.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.TrainWithoutLock(Microsoft.ML.Runtime.IProgressChannelProvider,Microsoft.ML.Trainers.FloatLabelCursor.Factory,System.Random,Microsoft.ML.Trainers.SdcaTrainerBase{Microsoft.ML.Trainers.SdcaMulticlassTrainerBase{`0}.MulticlassOptions,Microsoft.ML.Data.MulticlassPredictionTransformer{`0},`0}.IdToIdxLookup,System.Int32,Microsoft.ML.Trainers.SdcaTrainerBase{Microsoft.ML.Trainers.SdcaMulticlassTrainerBase{`0}.MulticlassOptions,Microsoft.ML.Data.MulticlassPredictionTransformer{`0},`0}.DualsTableBase,System.Single[],System.Single[],System.Single,Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[])">
-            <inheritdoc/>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1.CheckConvergence(Microsoft.ML.Runtime.IProgressChannel,System.Int32,Microsoft.ML.Trainers.FloatLabelCursor.Factory,Microsoft.ML.Trainers.SdcaTrainerBase{Microsoft.ML.Trainers.SdcaMulticlassTrainerBase{`0}.MulticlassOptions,Microsoft.ML.Data.MulticlassPredictionTransformer{`0},`0}.DualsTableBase,Microsoft.ML.Trainers.SdcaTrainerBase{Microsoft.ML.Trainers.SdcaMulticlassTrainerBase{`0}.MulticlassOptions,Microsoft.ML.Data.MulticlassPredictionTransformer{`0},`0}.IdToIdxLookup,Microsoft.ML.Data.VBuffer{System.Single}[],Microsoft.ML.Data.VBuffer{System.Single}[],System.Single[],System.Single[],System.Single[],System.Single[],System.Int64,System.Double[],System.Double@,System.Int32@)">
-            <inheritdoc/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a maximum entropy multiclass classifier.
-             The trained model <see cref="T:Microsoft.ML.Trainers.MaximumEntropyModelParameters"/> produces probabilities of classes.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [SdcaMaximumEntropy](xref:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})) or
-             [SdcaMaximumEntropy(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Scoring Function
-             This trains a linear model to solve multiclass classification problems.
-             Assume that the number of classes is $m$ and number of features is $n$.
-             It assigns the $c$-th class a coefficient vector $\textbf{w}\_c \in {\mathbb R}^n$ and a bias $b_c \in {\mathbb R}$, for $c=1,\dots,m$.
-             Given a feature vector $\textbf{x} \in {\mathbb R}^n$, the $c$-th class's score would be $\tilde{P}(c | \textbf{x}) = \frac{ e^{\hat{y}^c} }{ \sum\_{c' = 1}^m e^{\hat{y}^{c'}} }$, where $\hat{y}^c = \textbf{w}\_c^T \textbf{x} + b_c$.
-             Note that $\tilde{P}(c | \textbf{x})$ is the probability of observing class $c$ when the feature vector is $\textbf{x}$.
-            
-             ### Training Algorithm Details
-             See the documentation of [SdcaMulticlassTrainerBase](xref:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase`1).
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options"/> for <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer"/> as used in
-            <see cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer">
-             <summary>
-             The<see cref="T:Microsoft.ML.IEstimator`1"/> to predict a target using a linear multiclass classifier.
-             The trained model <see cref="T:Microsoft.ML.Trainers.LinearMulticlassModelParameters"/> produces probabilities of classes.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [SdcaMaximumEntropy](xref:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})) or
-             [SdcaMaximumEntropy(Options)](xref:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-multiclass-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Multiclass classification |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Scoring Function
-             This trains a linear model to solve multiclass classification problems.
-             Assume that the number of classes is $m$ and number of features is $n$.
-             It assigns the $c$-th class a coefficient vector $\textbf{w}_c \in {\mathbb R}^n$ and a bias $b_c \in {\mathbb R}$, for $c=1,\dots,m$.
-             Given a feature vector $\textbf{x} \in {\mathbb R}^n$, the $c$-th class's score would be $\hat{y}^c = \textbf{w}_c^T \textbf{x} + b_c$.
-             Note that the $c$-th value in the output score column is just $\hat{y}^c$.
-            
-             ### Training Algorithm Details
-             See the documentation of [SdcaMulticlassTrainerBase](xref:Microsoft.ML.Trainers.SdcaMulticlassTrainerBase).
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options">
-            <summary>
-            <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options"/> for <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer"/> as used in
-            <see cref="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options.Loss">
-            <summary>
-            Loss function minimized by this trainer.
-            </summary>
-            <value>
-            If unspecified, <see cref="T:Microsoft.ML.Trainers.LogLoss"/> will be used.
-            </value>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaRegressionTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for training a regression model using the stochastic dual coordinate ascent method.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [Sdca](xref:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaRegressionLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32}))
-             or [Sdca(Options)](xref:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.SdcaRegressionTrainer.Options)).
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-regression.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Regression |
-             | Is normalization required? | Yes |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             [!include[algorithm](~/../docs/samples/docs/api-reference/algo-details-sdca.md)]
-            
-             [!include[regularization](~/../docs/samples/docs/api-reference/regularization-l1-l2.md)]
-            
-             [!include[references](~/../docs/samples/docs/api-reference/algo-details-sdca-refs.md)]
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaRegressionLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})"/>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.SdcaRegressionTrainer.Options)"/>
-             <seealso cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options"/>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options">
-            <summary>
-            Options for the <see cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options.LossFunctionFactory">
-            <summary>
-            A custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-            <value>
-            Defaults to <see cref="T:Microsoft.ML.Trainers.SquaredLoss"/>
-            </value>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options.LossFunction">
-            <summary>
-            A custom <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a>.
-            </summary>
-            <value>
-            Defaults to <see cref="T:Microsoft.ML.Trainers.SquaredLoss"/>
-            </value>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options.#ctor">
-            <summary>
-            Create the <see cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer.Options"/> object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.SdcaRegressionTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaRegressionLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumn">The label, or dependent variable.</param>
-            <param name="featureColumn">The features, or independent variables.</param>
-            <param name="weights">The optional example weights.</param>
-            <param name="loss">The custom loss.</param>
-            <param name="l2Const">The L2 regularization hyperparameter.</param>
-            <param name="l1Threshold">The L1 regularization hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maxIterations">The maximum number of passes to perform over the data.</param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.RandomModelParameters">
-            <summary>
-            This is a faulty model parameters that claims to be a <see cref="T:Microsoft.ML.Data.IValueMapperDist"/>. We maintain the class for
-            now for backwards compatibility of models (assuming there are any), but might consider removing it in the future.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.RandomModelParameters.PredictionKind">
-            <summary>Return the type of prediction task.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.RandomModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Int32)">
-            <summary>
-            Instantiate a model that returns a uniform random probability.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="seed">The random seed.</param>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.RandomModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Load the predictor from the binary format.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.RandomModelParameters.SaveCore(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Save the predictor in the binary format.
-            </summary>
-            <param name="ctx"></param>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PriorTrainer">
-             <summary>
-             The <see cref="T:Microsoft.ML.IEstimator`1"/> for predicting a target using a binary classification model.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             To create this trainer, use [Prior](xref:Microsoft.ML.StandardTrainersCatalog.Prior(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String))
-            
-             [!include[io](~/../docs/samples/docs/api-reference/io-columns-binary-classification.md)]
-            
-             ### Trainer Characteristics
-             |  |  |
-             | -- | -- |
-             | Machine learning task | Binary classification |
-             | Is normalization required? | No |
-             | Is caching required? | No |
-             | Required NuGet in addition to Microsoft.ML | None |
-             | Exportable to ONNX | Yes |
-            
-             ### Training Algorithm Details
-             Learns the prior distribution for 0/1 class labels and outputs that.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.StandardTrainersCatalog.Prior(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String)"/>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.PriorTrainer.Microsoft#ML#ITrainer#PredictionKind">
-            <summary> Return the type of prediction task.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.PriorTrainer.Info">
-            <summary>
-            Auxiliary information about the trainer in terms of its capabilities
-            and requirements.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PriorTrainer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String)">
-            <summary>
-            Initializes PriorTrainer object.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PriorTrainer.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Data.BinaryPredictionTransformer`1"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PriorTrainer.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Trainers.PriorModelParameters">
-            <summary>
-            Model parameters for <see cref="T:Microsoft.ML.Trainers.PriorTrainer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.PriorModelParameters.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Single)">
-            <summary>
-            Instantiates a model that returns the prior probability of the positive class in the training set.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="prob">The probability of the positive class.</param>
-        </member>
-        <member name="P:Microsoft.ML.Trainers.StochasticTrainerBase`2.ShuffleData">
-            <summary>
-            Whether data is to be shuffled every epoch.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Trainers.StochasticTrainerBase`2.PrepareDataFromTrainingExamples(Microsoft.ML.Runtime.IChannel,Microsoft.ML.Data.RoleMappedData,System.Int32@)">
-            <summary>
-            This method ensures that the data meets the requirements of this trainer and its
-            subclasses, injects necessary transforms, and throws if it couldn't meet them.
-            </summary>
-            <param name="ch">The channel</param>
-            <param name="examples">The training examples</param>
-            <param name="weightSetCount">Gets the length of weights and bias array. For binary classification and regression,
-            this is 1. For multi-class classification, this equals the number of classes on the label.</param>
-            <returns>A potentially modified version of <paramref name="examples"/></returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.DifferentiableFunction">
-            <summary>
-            A delegate for functions with gradients.
-            </summary>
-            <param name="input">The point at which to evaluate the function</param>
-            <param name="gradient">The gradient vector, which must be filled in (its initial contents are undefined)</param>
-            <param name="progress">The progress channel provider that can be used to report calculation progress. Can be null.</param>
-            <returns>The value of the function</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.IndexedDifferentiableFunction">
-             <summary>
-             A delegate for indexed sets of functions with gradients.
-            
-             REVIEW: I didn't add an <see cref="T:Microsoft.ML.Runtime.IProgressChannelProvider"/> here, since it looks like this code is not actually
-             accessed from anywhere. Maybe it should go away?
-             </summary>
-             <param name="index">The index of the function</param>
-             <param name="input">The point at which to evaluate the function</param>
-             <param name="gradient">The gradient vector, which must be filled in (its initial contents are undefined)</param>
-             <returns>The value of the function</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.DifferentiableFunctionAggregator">
-            <summary>
-            Class to aggregate an indexed differentiable function into a single function, in parallel
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.DifferentiableFunctionAggregator.#ctor(Microsoft.ML.Numeric.IndexedDifferentiableFunction,System.Int32,System.Int32,System.Int32)">
-            <summary>
-            Creates a DifferentiableFunctionAggregator
-            </summary>
-            <param name="func">Indexed function to use</param>
-            <param name="dim">Dimensionality of the function</param>
-            <param name="maxIndex">Max index of the function</param>
-            <param name="threads">Number of threads to use</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.DifferentiableFunctionAggregator.Eval(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Evaluate and sum the function over all indices, in parallel
-            </summary>
-            <param name="input">The point at which to evaluate the function</param>
-            <param name="gradient">The gradient vector, which must be filled in (its initial contents are undefined)</param>
-            <returns>Function value</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.GradientTester">
-            <summary>
-            A class for testing the gradient of DifferentiableFunctions, useful for debugging
-            </summary>
-            <remarks>
-            Works by comparing the reported gradient to the numerically computed gradient.
-            If the gradient is correct, the return value should be small (order of 1e-6).
-            May have false negatives if extreme values cause the numeric gradient to be off,
-            for example, if the norm of x is very large, or if the gradient is changing rapidly at x.
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientTester.Test(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Tests the gradient reported by f.
-            </summary>
-            <param name="f">function to test</param>
-            <param name="x">point at which to test</param>
-            <returns>maximum normalized difference between analytic and numeric directional derivative over multiple tests</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientTester.Test(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,System.Boolean)">
-            <summary>
-            Tests the gradient reported by f.
-            </summary>
-            <param name="f">function to test</param>
-            <param name="x">point at which to test</param>
-            <param name="quiet">If false, outputs detailed info.</param>
-            <returns>maximum normalized difference between analytic and numeric directional derivative over multiple tests</returns>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.GradientTester.Header">
-            <summary>
-            The head of the test output
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientTester.TestAllCoords(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Tests the gradient using finite differences on each axis (appropriate for small functions)
-            </summary>
-            <param name="f"></param>
-            <param name="x"></param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientTester.TestCoords(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,System.Collections.Generic.IList{System.Int32})">
-            <summary>
-            Tests the gradient using finite differences on each axis in the list
-            </summary>
-            <param name="f">Function to test</param>
-            <param name="x">Point at which to test</param>
-            <param name="coords">List of coordinates to test</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientTester.Test(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@,System.Boolean,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Tests the gradient reported by <paramref name="f"/>.
-            </summary>
-            <param name="f">Function to test</param>
-            <param name="x">Point at which to test</param>
-            <param name="dir">Direction to test derivative</param>
-            <param name="quiet">Whether to disable output</param>
-            <param name="newGrad">This is a reusable working buffer for intermediate calculations</param>
-            <param name="newX">This is a reusable working buffer for intermediate calculations</param>
-            <returns>Normalized difference between analytic and numeric directional derivative</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.L1Optimizer">
-            <summary>
-            Orthant-Wise Limited-memory Quasi-Newton algorithm
-            for optimization of smooth convex objectives plus L1-regularization
-            If you use this code for published research, please cite
-              Galen Andrew and Jianfeng Gao, "Scalable Training of L1-Regularized Log-Linear Models",	ICML 2007
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.L1Optimizer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Int32,System.Single,System.Int32,System.Boolean,Microsoft.ML.Numeric.ITerminationCriterion,System.Boolean)">
-            <summary>
-            Create an L1Optimizer with the supplied value of M and termination criterion
-            </summary>
-            <param name="env">The environment</param>
-            <param name="biasCount">Number of biases</param>
-            <param name="l1weight">Weight of L1 regularizer</param>
-            <param name="m">The number of previous iterations to store</param>
-            <param name="keepDense">Whether the optimizer will keep its internal state dense</param>
-            <param name="term">Termination criterion</param>
-            <param name="enforceNonNegativity">The flag enforcing the non-negativity constraint</param>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.L1Optimizer.L1OptimizerState">
-            <summary>
-            Contains information about the state of the optimizer
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.L1Optimizer.L1OptimizerState.EvalCore(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Runtime.IProgressChannelProvider)">
-            <summary>
-            This is the original differentiable function with the injected L1 term.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.L1Optimizer.L1OptimizerState.LineSearch(Microsoft.ML.Runtime.IChannel,System.Boolean)">
-            <summary>
-            Backtracking line search with Armijo-like condition, from Andrew &amp; Gao
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.ILineSearch">
-            <summary>
-            Line search that does not use derivatives
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.ILineSearch.Minimize(System.Func{System.Single,System.Single})">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="func">Function to minimize</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.DiffFunc1D">
-            <summary>
-            Delegate for differentiable 1-D functions
-            </summary>
-            <param name="x">Point to evaluate</param>
-            <param name="deriv">Derivative at that point</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.IDiffLineSearch">
-            <summary>
-            Line search that uses derivatives
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.IDiffLineSearch.Minimize(Microsoft.ML.Numeric.DiffFunc1D,System.Single,System.Single)">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="func">Function to minimize</param>
-            <param name="initValue">Value of function at 0</param>
-            <param name="initDeriv">Derivative of function at 0</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.CubicInterpLineSearch">
-            <summary>
-            Cubic interpolation line search
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.CubicInterpLineSearch.MaxNumSteps">
-            <summary>
-            Gets or sets maximum number of steps.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.CubicInterpLineSearch.MinWindow">
-            <summary>
-            Gets or sets the minimum relative size of bounds around solution.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.CubicInterpLineSearch.MaxStep">
-            <summary>
-            Gets or sets maximum step size
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.CubicInterpLineSearch.#ctor(System.Int32)">
-            <summary>
-            Makes a CubicInterpLineSearch
-            </summary>
-            <param name="maxNumSteps">Maximum number of steps before terminating</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.CubicInterpLineSearch.#ctor(System.Single)">
-            <summary>
-            Makes a CubicInterpLineSearch
-            </summary>
-            <param name="minWindow">Minimum relative size of bounds around solution</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.CubicInterpLineSearch.CubicInterp(Microsoft.ML.Numeric.CubicInterpLineSearch.StepValueDeriv,Microsoft.ML.Numeric.CubicInterpLineSearch.StepValueDeriv)">
-            <summary>
-            Cubic interpolation routine from Nocedal and Wright
-            </summary>
-            <param name="a">first point, with value and derivative</param>
-            <param name="b">second point, with value and derivative</param>
-            <returns>local minimum of interpolating cubic polynomial</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.CubicInterpLineSearch.Minimize(Microsoft.ML.Numeric.DiffFunc1D,System.Single,System.Single)">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="func">Function to minimize</param>
-            <param name="initValue">Value of function at 0</param>
-            <param name="initDeriv">Derivative of function at 0</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.GoldenSectionSearch">
-            <summary>
-            Finds local minimum with golden section search.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GoldenSectionSearch.MaxNumSteps">
-            <summary>
-            Gets or sets maximum number of steps before terminating.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GoldenSectionSearch.MinWindow">
-            <summary>
-            Gets or sets minimum relative size of bounds around solution.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GoldenSectionSearch.MaxStep">
-            <summary>
-            Gets or sets maximum step size.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GoldenSectionSearch.#ctor(System.Int32)">
-            <summary>
-            Makes a new GoldenSectionSearch
-            </summary>
-            <param name="maxNumSteps">Maximum number of steps before terminating (not including bracketing)</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GoldenSectionSearch.#ctor(System.Single)">
-            <summary>
-            Makes a new GoldenSectionSearch
-            </summary>
-            <param name="minWindow">Minimum relative size of bounds around solution</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GoldenSectionSearch.Minimize(Microsoft.ML.Numeric.DiffFunc1D,System.Single,System.Single)">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="f">Function to minimize</param>
-            <param name="initVal">Value of function at 0</param>
-            <param name="initDeriv">Derivative of function at 0</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GoldenSectionSearch.Minimize(Microsoft.ML.Numeric.DiffFunc1D)">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="func">Function to minimize</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GoldenSectionSearch.Minimize(System.Func{System.Single,System.Single})">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="func">Function to minimize</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.BacktrackingLineSearch">
-            <summary>
-            Backtracking line search with Armijo condition
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.BacktrackingLineSearch.#ctor(System.Single)">
-            <summary>
-            Makes a backtracking line search
-            </summary>
-            <param name="c1">Parameter for Armijo condition</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.BacktrackingLineSearch.Minimize(Microsoft.ML.Numeric.DiffFunc1D,System.Single,System.Single)">
-            <summary>
-            Finds a local minimum of the function
-            </summary>
-            <param name="f">Function to minimize</param>
-            <param name="initVal">Value of function at 0</param>
-            <param name="initDeriv">Derivative of function at 0</param>
-            <returns>Minimizing value</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.ITerminationCriterion">
-            <summary>
-            An object which is used to decide whether to stop optimization.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.ITerminationCriterion.FriendlyName">
-            <summary>
-            Name appropriate for display to the user.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.ITerminationCriterion.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Determines whether to stop optimization
-            </summary>
-            <param name="state">the state of the optimizer</param>
-            <param name="message">a message to be printed (or null for no message)</param>
-            <returns>true iff criterion is met, i.e. optimization should halt</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.ITerminationCriterion.Reset">
-            <summary>
-            Prepares the ITerminationCriterion for a new round of optimization
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.GradientCheckingMonitor">
-            <summary>
-            A wrapper for a termination criterion that checks the gradient at a specified interval
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientCheckingMonitor.#ctor(Microsoft.ML.Numeric.ITerminationCriterion,System.Int32)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Numeric.GradientCheckingMonitor"/> class.
-            </summary>
-            <param name="termCrit">The termination criterion</param>
-            <param name="gradientCheckInterval">The gradient check interval.</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientCheckingMonitor.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Determines whether to stop optimization
-            </summary>
-            <param name="state">the state of the optimizer</param>
-            <param name="message">a message to be printed (or null for no message)</param>
-            <returns>
-            true iff criterion is met, i.e. optimization should halt
-            </returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GradientCheckingMonitor.Reset">
-            <summary>
-            Prepares the ITerminationCriterion for a new round of optimization
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.StaticTerminationCriterion">
-            <summary>
-            An abstract partial implementation of ITerminationCriterion for those which do not require resetting
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.StaticTerminationCriterion.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Determines whether to stop optimization
-            </summary>
-            <param name="state">the state of the optimizer</param>
-            <param name="message">a message to be printed (or null for no message)</param>
-            <returns>
-            true iff criterion is met, i.e. optimization should halt
-            </returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.StaticTerminationCriterion.Reset">
-            <summary>
-            Prepares the ITerminationCriterion for a new round of optimization
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.MeanImprovementCriterion">
-            <summary>
-            Terminates when the geometrically-weighted average improvement falls below the tolerance
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanImprovementCriterion.#ctor(System.Single,System.Single,System.Int32)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Microsoft.ML.Numeric.MeanImprovementCriterion"/> class.
-            </summary>
-            <param name="tol">The tolerance parameter</param>
-            <param name="lambda">The geometric weighting factor. Higher means more heavily weighted toward older values.</param>
-            <param name="maxIterations">Maximum amount of iteration</param>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.MeanImprovementCriterion.Tolerance">
-            <summary>
-            When criterion drops below this value, optimization is terminated
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanImprovementCriterion.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Determines whether to stop optimization
-            </summary>
-            <param name="state">the state of the optimizer</param>
-            <param name="message">a message to be printed (or null for no message)</param>
-            <returns>
-            true iff criterion is met, i.e. optimization should halt
-            </returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanImprovementCriterion.Reset">
-            <summary>
-            Prepares the ITerminationCriterion for a new round of optimization
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion">
-            <summary>
-            Stops optimization when the average objective improvement over the last
-            n iterations, normalized by the function value, is small enough.
-            </summary>
-            <remarks>
-            Inappropriate for functions whose optimal value is non-positive, because of normalization
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion.Tolerance">
-            <summary>
-            When criterion drops below this value, optimization is terminated
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion.Iters">
-            <summary>
-            Number of previous iterations to store
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion.#ctor(System.Single,System.Int32,System.Int32)">
-            <summary>
-            Create a MeanRelativeImprovementCriterion
-            </summary>
-            <param name="tol">tolerance level</param>
-            <param name="n">number of past iterations to average over</param>
-            <param name="maxIterations">Maximum amount of iteration</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Returns true if the average objective improvement over the last
-            n iterations, normalized by the function value, is less than the tolerance
-            </summary>
-            <param name="state">current state of the optimizer</param>
-            <param name="message">the current value of the criterion</param>
-            <returns>true if criterion is less than tolerance</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion.ToString">
-            <summary>
-            String summary of criterion
-            </summary>
-            <returns>summary of criterion</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.MeanRelativeImprovementCriterion.Reset">
-            <summary>
-            Prepares the ITerminationCriterion for a new round of optimization
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.UpperBoundOnDistanceWithL2">
-            <summary>
-            Uses the gradient to determine an upper bound on (relative) distance from the optimum.
-            </summary>
-            <remarks>
-            Works if the objective uses L2 prior (or in general if the hessian H is such
-            that H > (1 / sigmaSq) * I at all points)
-            Inappropriate for functions whose optimal value is non-positive, because of normalization
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.UpperBoundOnDistanceWithL2.Tolerance">
-            <summary>
-            When criterion drops below this value, optimization is terminated
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.UpperBoundOnDistanceWithL2.#ctor(System.Single,System.Single)">
-            <summary>
-            Create termination criterion with supplied value of sigmaSq and tolerance
-            </summary>
-            <param name="sigmaSq">value of sigmaSq in L2 regularizer</param>
-            <param name="tol">tolerance level</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.UpperBoundOnDistanceWithL2.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Returns true if the proved bound on the distance from the optimum,
-            normalized by the function value, is less than the tolerance
-            </summary>
-            <param name="state">current state of the optimizer</param>
-            <param name="message">value of criterion</param>
-            <returns>true if criterion is less than tolerance</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.UpperBoundOnDistanceWithL2.ToString">
-            <summary>
-            String summary of criterion
-            </summary>
-            <returns>summary of criterion</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.RelativeNormGradient">
-            <summary>
-            Criterion based on the norm of the gradient being small enough
-            </summary>
-            <remarks>
-            Inappropriate for functions whose optimal value is non-positive, because of normalization
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.RelativeNormGradient.Tolerance">
-            <summary>
-            When criterion drops below this value, optimization is terminated
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.RelativeNormGradient.#ctor(System.Single)">
-            <summary>
-            Create a RelativeNormGradient with the supplied tolerance
-            </summary>
-            <param name="tol">tolerance level</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.RelativeNormGradient.Terminate(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String@)">
-            <summary>
-            Returns true if the norm of the gradient, divided by the value, is less than the tolerance.
-            </summary>
-            <param name="state">current state of the optimizer</param>
-            <param name="message">the current value of the criterion</param>
-            <returns>true iff criterion is less than the tolerance</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.RelativeNormGradient.ToString">
-            <summary>
-            String summary of criterion
-            </summary>
-            <returns>summary of criterion</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.Optimizer">
-            <summary>
-            Limited-memory BFGS quasi-Newton optimization routine
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.Optimizer.EnforceNonNegativity">
-            Based on Nocedal and Wright, "Numerical Optimization, Second Edition"
-        </member>
-        <member name="F:Microsoft.ML.Numeric.Optimizer.Env">
-            <summary>
-            The host environment to use for reporting progress and exceptions.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.M">
-            <summary>
-            Number of previous iterations to remember for estimate of Hessian.
-            </summary>
-            <remarks>
-            Higher M means better approximation to Newton's method, but uses more memory,
-            and requires more time to compute direction. The optimal setting of M is problem
-            specific, depending on such factors as how expensive is function evaluation
-            compared to choosing the direction, how easily approximable is the function's
-            Hessian, etc.
-            M = 15..20 is usually reasonable but if necessary even M=2 is better than
-            gradient descent
-            </remarks>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.TotalMemoryLimit">
-            <summary>
-            Gets or sets a bound on the total number of bytes allowed.
-            If the whole application is using more than this, no more vectors will be allocated.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Int32,System.Boolean,Microsoft.ML.Numeric.ITerminationCriterion,System.Boolean)">
-            <summary>
-            Create an optimizer with the supplied value of M and termination criterion
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="m">The number of previous iterations to store</param>
-            <param name="keepDense">Whether the optimizer will keep its internal state dense</param>
-            <param name="term">Termination criterion, defaults to MeanRelativeImprovement if null</param>
-            <param name="enforceNonNegativity">The flag enforcing the non-negativity constraint</param>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.Optimizer.OptimizerException">
-            <summary>
-            A class for exceptions thrown by the optimizer.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerException.State">
-            <summary>
-            The state of the optimizer when premature convergence happened.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.Optimizer.OptimizerState">
-            <summary>
-            Contains information about the state of the optimizer
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.Optimizer.OptimizerState.Dim">
-            <summary>
-            The dimensionality of the function
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.Function">
-            <summary>
-            The function being optimized
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.X">
-            <summary>
-            The current point being explored
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.Grad">
-            <summary>
-            The gradient at the current point
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.LastDir">
-            <summary>
-            The direction of search that led to the current point
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.Value">
-            <summary>
-            The current function value
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.LastValue">
-            <summary>
-            The function value at the last point
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.Iter">
-            <summary>
-            The number of iterations so far
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.OptimizerState.GradientCalculations">
-            <summary>
-            The number of completed gradient calculations in the current iteration.
-            </summary>
-            <remarks>This is updated in derived classes, since they may call Eval at different times.</remarks>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.Optimizer.OptimizerState._keepDense">
-            <summary>
-            Whether the optimizer state will keep its internal vectors dense or not.
-            This being true may lead to reduced load on the garbage collector, at the
-            cost of possibly higher overall memory utilization.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.OptimizerState.CreateWorkingVector">
-            <summary>
-            Convenience function to construct a working vector of length <c>Dim</c>.
-            </summary>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.OptimizerState.LineSearch(Microsoft.ML.Runtime.IChannel,System.Boolean)">
-            <summary>
-            An implementation of the line search for the Wolfe conditions, from Nocedal &amp; Wright
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.OptimizerState.CubicInterp(Microsoft.ML.Numeric.Optimizer.OptimizerState.PointValueDeriv,Microsoft.ML.Numeric.Optimizer.OptimizerState.PointValueDeriv)">
-            <summary>
-            Cubic interpolation routine from Nocedal and Wright
-            </summary>
-            <param name="p0">first point, with value and derivative</param>
-            <param name="p1">second point, with value and derivative</param>
-            <returns>local minimum of interpolating cubic polynomial</returns>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.Minimize(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single@)">
-            <summary>
-            Minimize a function using the MeanRelativeImprovement termination criterion with the supplied tolerance level
-            </summary>
-            <param name="function">The function to minimize</param>
-            <param name="initial">The initial point</param>
-            <param name="tolerance">Convergence tolerance (smaller means more iterations, closer to exact optimum)</param>
-            <param name="result">The point at the optimum</param>
-            <param name="optimum">The optimum function value</param>
-            <exception cref="T:Microsoft.ML.Numeric.Optimizer.PrematureConvergenceException">Thrown if successive points are within numeric precision of each other, but termination condition is still unsatisfied.</exception>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.Minimize(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single@)">
-            <summary>
-            Minimize a function.
-            </summary>
-            <param name="function">The function to minimize</param>
-            <param name="initial">The initial point</param>
-            <param name="result">The point at the optimum</param>
-            <param name="optimum">The optimum function value</param>
-            <exception cref="T:Microsoft.ML.Numeric.Optimizer.PrematureConvergenceException">Thrown if successive points are within numeric precision of each other, but termination condition is still unsatisfied.</exception>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.Minimize(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Numeric.ITerminationCriterion,Microsoft.ML.Data.VBuffer{System.Single}@,System.Single@)">
-            <summary>
-            Minimize a function using the supplied termination criterion
-            </summary>
-            <param name="function">The function to minimize</param>
-            <param name="initial">The initial point</param>
-            <param name="term">termination criterion to use</param>
-            <param name="result">The point at the optimum</param>
-            <param name="optimum">The optimum function value</param>
-            <exception cref="T:Microsoft.ML.Numeric.Optimizer.PrematureConvergenceException">Thrown if successive points are within numeric precision of each other, but termination condition is still unsatisfied.</exception>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.Optimizer.PrematureConvergenceException">
-            <summary>
-            This exception is thrown if successive differences between points
-            reach the limits of numerical stability, but the termination condition
-            still hasn't been satisfied
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.Optimizer.PrematureConvergenceException.#ctor(Microsoft.ML.Numeric.Optimizer.OptimizerState,System.String)">
-            <summary>
-            Makes a PrematureConvergenceException with the supplied message
-            </summary>
-            <param name="state">The OptimizerState when the exception was thrown</param>
-            <param name="message">message for exception</param>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.Optimizer.Quiet">
-            <summary>
-            If true, suppresses all output.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.DTerminate">
-            <summary>
-            Delegate for functions that determine whether to terminate search. Called after each update.
-            </summary>
-            <param name="x">Current iterate</param>
-            <returns>True if search should terminate</returns>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.SgdOptimizer">
-            <summary>
-            Stochastic gradient descent with variations (minibatch, momentum, averaging).
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.SgdOptimizer.BatchSize">
-            <summary>
-            Size of minibatches
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.SgdOptimizer.Momentum">
-            <summary>
-            Momentum parameter
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.SgdOptimizer.T0">
-            <summary>
-            Base of step size schedule s_t = 1 / (t0 + f(t))
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.SgdOptimizer._terminate">
-            <summary>
-            Termination criterion
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.SgdOptimizer.Averaging">
-            <summary>
-            If true, iterates are averaged
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.SgdOptimizer.RateSchedule">
-            <summary>
-            Gets/Sets rate schedule type
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.SgdOptimizer.MaxSteps">
-            <summary>
-            Gets/Sets maximum number of steps. Set to 0 for no max
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.SgdOptimizer.RateScheduleType">
-            <summary>
-            Annealing schedule for learning rate
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.SgdOptimizer.RateScheduleType.Constant">
-            <summary>
-            r_t = 1 / t0
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.SgdOptimizer.RateScheduleType.Sqrt">
-            <summary>
-            r_t = 1 / (t0 + sqrt(t))
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Numeric.SgdOptimizer.RateScheduleType.Linear">
-            <summary>
-            r_t = 1 / (t0 + t)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.SgdOptimizer.#ctor(Microsoft.ML.Numeric.DTerminate,Microsoft.ML.Numeric.SgdOptimizer.RateScheduleType,System.Boolean,System.Single,System.Int32,System.Single,System.Int32)">
-            <summary>
-            Creates SGDOptimizer and sets optimization parameters
-            </summary>
-            <param name="terminate">Termination criterion</param>
-            <param name="rateSchedule">Annealing schedule type for learning rate</param>
-            <param name="averaging">If true, all iterates are averaged</param>
-            <param name="t0">Base for learning rate schedule</param>
-            <param name="batchSize">Average this number of stochastic gradients for each update</param>
-            <param name="momentum">Momentum parameter</param>
-            <param name="maxSteps">Maximum number of updates (0 for no max)</param>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.SgdOptimizer.DStochasticGradient">
-            <summary>
-            Delegate for functions to query stochastic gradient at a point
-            </summary>
-            <param name="x">Point at which to evaluate</param>
-            <param name="grad">Vector to be filled in with gradient</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.SgdOptimizer.Minimize(Microsoft.ML.Numeric.SgdOptimizer.DStochasticGradient,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Minimize the function represented by <paramref name="f"/>.
-            </summary>
-            <param name="f">Stochastic gradients of function to minimize</param>
-            <param name="initial">Initial point</param>
-            <param name="result">Approximate minimum of <paramref name="f"/></param>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.GDOptimizer">
-            <summary>
-            Deterministic gradient descent with line search
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GDOptimizer.LineSearch">
-            <summary>
-            Line search to use.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GDOptimizer.MaxSteps">
-            <summary>
-            Gets/Sets maximum number of steps. Set to 0 for no max.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GDOptimizer.Terminate">
-            <summary>
-            Gets/sets termination criterion.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Numeric.GDOptimizer.UseCG">
-            <summary>
-            Gets/sets whether to use nonlinear conjugate gradient.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GDOptimizer.#ctor(Microsoft.ML.Numeric.DTerminate,Microsoft.ML.Numeric.IDiffLineSearch,System.Boolean,System.Int32)">
-            <summary>
-            Makes a new GDOptimizer with the given optimization parameters
-            </summary>
-            <param name="terminate">Termination criterion</param>
-            <param name="lineSearch">Line search to use</param>
-            <param name="maxSteps">Maximum number of updates</param>
-            <param name="useCG">Use Cubic interpolation line search or Backtracking line search with Armijo condition</param>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.GDOptimizer.Minimize(Microsoft.ML.Numeric.DifferentiableFunction,Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Finds approximate minimum of the function
-            </summary>
-            <param name="function">Function to minimize</param>
-            <param name="initial">Initial point</param>
-            <param name="result">Approximate minimum</param>
-        </member>
-        <member name="T:Microsoft.ML.Numeric.TerminateTester">
-            <summary>
-            Terminates the optimization if NA value appears in result or no progress is made.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Numeric.TerminateTester.ShouldTerminate(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Test whether the optimization should terminate. Returns true if x contains NA or +/-Inf or x equals xprev.
-            </summary>
-            <param name="x">The current value.</param>
-            <param name="xprev">The value from the previous iteration.</param>
-            <returns>True if the optimization routine should terminate at this iteration.</returns>
-        </member>
-        <member name="T:Microsoft.ML.StandardTrainersCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.RegressionCatalog.RegressionTrainers"/>,
-             <see cref="T:Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers"/>, and
-             <see cref="T:Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers"/> to create
-            instances of trainer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Double,System.Single)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SgdCalibratedTrainer"/>, which predicts a target using a linear classification model.
-            Stochastic gradient descent (SGD) is an iterative algorithm that optimizes a differentiable objective function.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column, or dependent variable. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The features, or independent variables. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="numberOfIterations">The maximum number of passes through the training dataset; set to 1 to simulate online learning.</param>
-            <param name="learningRate">The initial learning rate used by SGD.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SgdCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SgdCalibrated.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SgdCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdCalibratedTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SgdCalibratedTrainer"/> with advanced options, which predicts a target using a linear classification model.
-            Stochastic gradient descent (SGD) is an iterative algorithm that optimizes a differentiable objective function.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SgdCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SgdCalibratedWithOptions.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Int32,System.Double,System.Single)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer"/>, which predicts a target using a linear classification model.
-            Stochastic gradient descent (SGD) is an iterative algorithm that optimizes a differentiable objective function.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column, or dependent variable. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The features, or independent variables. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Using, for example, <see cref="T:Microsoft.ML.Trainers.HingeLoss"/> leads to a support vector machine trainer.</param>
-            <param name="numberOfIterations">The maximum number of passes through the training dataset; set to 1 to simulate online learning.</param>
-            <param name="learningRate">The initial learning rate used by SGD.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SgdNonCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SgdNonCalibrated.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SgdNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SgdNonCalibratedTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SgdNonCalibratedTrainer"/> with advanced options, which predicts a target using a linear classification model.
-            Stochastic gradient descent (SGD) is an iterative algorithm that optimizes a differentiable objective function.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            /// <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SgdNonCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SgdNonCalibratedWithOptions.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaRegressionLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer"/>, which predicts a target using a linear regression model.
-            </summary>
-            <param name="catalog">The regression catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Single"/></param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/></param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Using, for example, its default <see cref="T:Microsoft.ML.Trainers.SquaredLoss"/> leads to a least square trainer.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maximumNumberOfIterations">The maximum number of passes to perform over the data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SDCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/Sdca.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.Sdca(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.SdcaRegressionTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaRegressionTrainer"/> with advanced options, which predicts a target using a linear regression model.
-            </summary>
-            <param name="catalog">The regression catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SDCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/SdcaWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer"/>, which predicts a target using a linear classification model.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Single"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maximumNumberOfIterations">The maximum number of passes to perform over the data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SdcaLogisticRegression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SdcaLogisticRegression.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaLogisticRegressionBinaryTrainer"/> with advanced options, which predicts a target using a linear classification model.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SdcaLogisticRegression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SdcaLogisticRegressionWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer"/>, which predicts a target using a linear classification model.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Defaults to <see cref="T:Microsoft.ML.Trainers.LogLoss"/> if not specified.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maximumNumberOfIterations">The maximum number of passes to perform over the data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SdcaNonCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SdcaNonCalibrated.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedBinaryTrainer"/> with advanced options, which predicts a target using a linear classification model trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SdcaNonCalibrated](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/SdcaNonCalibratedWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer"/>, which predicts a target using a maximum entropy classification model trained with a coordinate descent method.
-            </summary>
-            <param name="catalog">The multiclass classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maximumNumberOfIterations">The maximum number of passes to perform over the data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SDCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/SdcaMaximumEntropy.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaMaximumEntropyMulticlassTrainer"/> with advanced options, which predicts a target using a maximum entropy classification model trained with a coordinate descent method.
-            </summary>
-            <param name="catalog">The multiclass classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SDCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/SdcaMaximumEntropyWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,Microsoft.ML.Trainers.ISupportSdcaClassificationLoss,System.Nullable{System.Single},System.Nullable{System.Single},System.Nullable{System.Int32})">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer"/>, which predicts a target using a linear multiclass classification model trained with a coordinate descent method.
-            </summary>
-            <param name="catalog">The multiclass classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function to be minimized. Defaults to <see cref="T:Microsoft.ML.Trainers.LogLoss"/> if not specified.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="maximumNumberOfIterations">The maximum number of passes to perform over the data.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SDCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/SdcaNonCalibrated.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.SdcaNonCalibrated(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.SdcaNonCalibratedMulticlassTrainer"/> with advanced options, which predicts a target using a linear multiclass classification model trained with a coordinate descent method.
-            </summary>
-            <param name="catalog">The multiclass classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[SDCA](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/SdcaNonCalibratedWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,Microsoft.ML.Trainers.IClassificationLoss,System.Single,System.Boolean,System.Single,System.Int32)">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer"/>, which predicts a target using a linear binary classification model trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. If <see langword="null"/>, <see cref="T:Microsoft.ML.Trainers.HingeLoss"/> would be used and lead to a max-margin averaged perceptron trainer.</param>
-            <param name="learningRate">The initial learning rate used by SGD.</param>
-            <param name="decreaseLearningRate">
-            <see langword="true" /> to decrease the <paramref name="learningRate"/> as iterations progress; otherwise, <see langword="false" />.
-            Default is <see langword="false" />.
-            </param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="numberOfIterations">Number of passes through the training dataset.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[AveragedPerceptron](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/AveragedPerceptron.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.AveragedPerceptron(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.AveragedPerceptronTrainer.Options)">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Trainers.AveragedPerceptronTrainer"/> with advanced options, which predicts a target using a linear binary classification model trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[AveragedPerceptron](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/AveragedPerceptronWithOptions.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,Microsoft.ML.Trainers.IRegressionLoss,System.Single,System.Boolean,System.Single,System.Int32)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer"/>, which predicts a target using a linear regression model.
-            </summary>
-            <param name="catalog">The regression catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Single"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="lossFunction">The <a href="https://en.wikipedia.org/wiki/Loss_function">loss</a> function minimized in the training process. Using, for example, <see cref="T:Microsoft.ML.Trainers.SquaredLoss"/> leads to a least square trainer.</param>
-            <param name="learningRate">The initial learning rate used by SGD.</param>
-            <param name="decreaseLearningRate">Decrease learning rate as iterations progress.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="numberOfIterations">The number of passes through the training dataset.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[OnlineGradientDescent](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/OnlineGradientDescent.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.OnlineGradientDescent(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.OnlineGradientDescentTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.OnlineGradientDescentTrainer"/> using advanced options, which predicts a target using a linear regression model.
-            </summary>
-            <param name="catalog">The regression catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[OnlineGradientDescent](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/OnlineGradientDescentWithOptions.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)">
-            <summary>
-             Create <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>, which predicts a target using a linear binary classification model trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="enforceNonNegativity">Enforce non-negative weights.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="historySize">Memory size for <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/>. Low=faster, less accurate.</param>
-            <param name="optimizationTolerance">Threshold for optimizer convergence.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Logistic Regression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LbfgsLogisticRegression.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LbfgsLogisticRegression(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LbfgsLogisticRegressionBinaryTrainer"/> with advanced options, which predicts a target using a linear binary classification model trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Advanced arguments to the algorithm.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Logistic Regression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LbfgsLogisticRegressionWithOptions.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer"/>, which predicts a target using a linear regression model.
-            </summary>
-            <param name="catalog">The regression catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Single"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="optimizationTolerance">Threshold for optimizer convergence.</param>
-            <param name="historySize">Number of previous iterations to remember for estimating the Hessian. Lower values mean faster but less accurate estimates.</param>
-            <param name="enforceNonNegativity">Enforce non-negative weights.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[PoissonRegression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/LbfgsPoissonRegression.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LbfgsPoissonRegression(Microsoft.ML.RegressionCatalog.RegressionTrainers,Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LbfgsPoissonRegressionTrainer"/> using advanced options, which predicts a target using a linear regression model.
-            </summary>
-            <param name="catalog">The regression catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[PoissonRegression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/LbfgsPoissonRegressionWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String,System.String,System.Single,System.Single,System.Single,System.Int32,System.Boolean)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/>, which predicts a target using a maximum entropy classification model trained with the L-BFGS method.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers"/>.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="enforceNonNegativity">Enforce non-negative weights.</param>
-            <param name="l1Regularization">The L1 <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a> hyperparameter. Higher values will tend to lead to more sparse model.</param>
-            <param name="l2Regularization">The L2 weight for <a href='https://en.wikipedia.org/wiki/Regularization_(mathematics)'>regularization</a>.</param>
-            <param name="historySize">Memory size for <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/>. Low=faster, less accurate.</param>
-            <param name="optimizationTolerance">Threshold for optimizer convergence.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[Lbfgs](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/LbfgsMaximumEntropy.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LbfgsMaximumEntropy(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LbfgsMaximumEntropyMulticlassTrainer"/> with advanced options, which predicts a target using a maximum entropy classification model trained with the L-BFGS method.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers"/>.</param>
-            <param name="options">Advanced arguments to the algorithm.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[PoissonRegression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/LbfgsMaximumEntropyWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.NaiveBayes(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Trainers.NaiveBayesMulticlassTrainer"/>, which predicts a multiclass target using a Naive Bayes model
-            that supports binary feature values.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers"/>.</param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="featureColumnName">The name of the feature column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[NaiveBayes](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/NaiveBayes.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.GetCalibratorTrainerOrThrow(Microsoft.ML.Runtime.IExceptionContext,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}})">
-            <summary>
-            Works via the <see cref="T:Microsoft.ML.Calibrators.IHaveCalibratorTrainer"/> shim interface to extract from the calibrating training
-            estimator the internal <see cref="T:Microsoft.ML.Calibrators.ICalibratorTrainer"/> object. Note that this should be a temporary measure,
-            since the trainers should really be changed to actually work over estimators.
-            </summary>
-            <param name="ectx">The exception context.</param>
-            <param name="calibratorEstimator">The estimator out of which we should try to extract the calibrator trainer.</param>
-            <returns>The calibrator trainer.</returns>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.OneVersusAll``1(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.Data.BinaryPredictionTransformer{``0},``0},System.String,System.Boolean,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}},System.Int32,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Trainers.OneVersusAllTrainer"/>, which predicts a multiclass target using one-versus-all strategy with
-            the binary classification estimator specified by <paramref name="binaryEstimator"/>.
-            </summary>
-            <remarks>
-            <para>
-            In one-versus-all strategy, a binary classification algorithm is used to train one classifier for each class,
-            which distinguishes that class from all other classes. Prediction is then performed by running these binary classifiers,
-            and choosing the prediction with the highest confidence score.
-            </para>
-            </remarks>
-            <param name="catalog">The multiclass classification catalog trainer object.</param>
-            <param name="binaryEstimator">An instance of a binary <see cref="T:Microsoft.ML.Trainers.ITrainerEstimator`2"/> used as the base trainer.</param>
-            <param name="calibrator">The calibrator. If a calibrator is not explicitly provided, it will default to <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorTrainer"/></param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="imputeMissingLabelsAsNegative">Whether to treat missing labels as having negative labels, instead of keeping them missing.</param>
-            <param name="maximumCalibrationExampleCount">Number of instances to train the calibrator.</param>
-            <param name="useProbabilities">Use probabilities (vs. raw outputs) to identify top-score category.</param>
-            <typeparam name="TModel">The type of the model. This type parameter will usually be inferred automatically from <paramref name="binaryEstimator"/>.</typeparam>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[OneVersusAll](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/OneVersusAll.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.PairwiseCoupling``1(Microsoft.ML.MulticlassClassificationCatalog.MulticlassClassificationTrainers,Microsoft.ML.Trainers.ITrainerEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{``0},``0},System.String,System.Boolean,Microsoft.ML.IEstimator{Microsoft.ML.ISingleFeaturePredictionTransformer{Microsoft.ML.Calibrators.ICalibrator}},System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Trainers.PairwiseCouplingTrainer"/>, which predicts a multiclass target using pairwise coupling strategy with
-            the binary classification estimator specified by <paramref name="binaryEstimator"/>.
-            </summary>
-            <remarks>
-            <para>
-            In the Pairwise coupling (PKPD) strategy, a binary classification algorithm is used to train one classifier for each pair of classes.
-            Prediction is then performed by running these binary classifiers, and computing a score for each class by counting how many of the binary
-            classifiers predicted it. The prediction is the class with the highest score.
-            </para>
-            </remarks>
-            <param name="catalog">The multiclass classification catalog trainer object.</param>
-            <param name="binaryEstimator">An instance of a binary <see cref="T:Microsoft.ML.Trainers.ITrainerEstimator`2"/> used as the base trainer.</param>
-            <param name="calibrator">The calibrator. If a calibrator is not explicitly provided, it will default to <see cref="T:Microsoft.ML.Calibrators.PlattCalibratorTrainer"/></param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="imputeMissingLabelsAsNegative">Whether to treat missing labels as having negative labels, instead of keeping them missing.</param>
-            <param name="maximumCalibrationExampleCount">Number of instances to train the calibrator.</param>
-            <typeparam name="TModel">The type of the model. This type parameter will usually be inferred automatically from <paramref name="binaryEstimator"/>.</typeparam>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[PairwiseCoupling](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/PairwiseCoupling.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LinearSvmTrainer"/>, which predicts a target using a linear binary classification model trained
-            over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="labelColumnName">The name of the label column. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="numberOfIterations">The number of training iteration.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[LinearSvm](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LinearSvm.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LinearSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LinearSvmTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LinearSvmTrainer"/> with advanced options, which predicts a target using a linear binary classification model
-            trained over boolean label data.
-            </summary>
-            <param name="catalog">The binary classification catalog trainer object.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[LinearSvm](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LinearSvmWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.Prior(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.PriorTrainer"/>, which predicts a target using a binary classification model.
-            </summary>
-            <remarks>
-            This trainer uses the proportion of a label in the training set as the probability of that label.
-            This trainer is often used as a baseline for other more sophisticated mdels.
-            </remarks>
-            <param name="catalog">The <see cref="T:Microsoft.ML.BinaryClassificationCatalog"/>.</param>
-            <param name="labelColumnName">The name of the label column. </param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[Prior](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/PriorTrainer.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,Microsoft.ML.Trainers.LdSvmTrainer.Options)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LdSvmTrainer"/> with advanced options, which predicts a target using a Local Deep SVM model.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.BinaryClassificationCatalog"/>.</param>
-            <param name="options">Trainer options.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[LdSvm](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LdSvmWithOptions.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.StandardTrainersCatalog.LdSvm(Microsoft.ML.BinaryClassificationCatalog.BinaryClassificationTrainers,System.String,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Boolean)">
-            <summary>
-            Create <see cref="T:Microsoft.ML.Trainers.LdSvmTrainer"/>, which predicts a target using a Local Deep SVM model.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.BinaryClassificationCatalog"/>.</param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="featureColumnName">The name of the feature column. The column data must be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="exampleWeightColumnName">The name of the example weight column (optional).</param>
-            <param name="numberOfIterations">The number of iterations.</param>
-            <param name="treeDepth">The depth of a Local Deep SVM tree.</param>
-            <param name="useBias">Indicates if the model should have a bias term.</param>
-            <param name="useCachedData">Indicates whether we should iterate over the data using a cache.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[LdSvm](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/LdSvm.cs)]
-            ]]></format>
-            </example>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/Microsoft.ML.Transforms.dll b/W/Debug_Folder/Microsoft.ML.Transforms.dll
deleted file mode 100644
index 422672d54..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.Transforms.dll and /dev/null differ
diff --git a/W/Debug_Folder/Microsoft.ML.Transforms.xml b/W/Debug_Folder/Microsoft.ML.Transforms.xml
deleted file mode 100644
index 361a506f6..000000000
--- a/W/Debug_Folder/Microsoft.ML.Transforms.xml
+++ /dev/null
@@ -1,7777 +0,0 @@
-<?xml version="1.0"?>
-<doc>
-    <assembly>
-        <name>Microsoft.ML.Transforms</name>
-    </assembly>
-    <members>
-        <member name="T:Microsoft.ML.CategoricalCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog.CategoricalTransforms"/> to create categorical
-            transformer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.OneHotEncodingEstimator"/>, which converts the input column specified by <paramref name="inputColumnName"/>
-            into a column of one-hot encoded vectors named <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="catalog">The transform catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/> if <paramref name="outputKind"/> is
-            <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag"/>, <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator"/>, and <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary"/>.
-            If <paramref name="outputKind"/> is <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key"/>, this column's data type will be a key in the case of a scalar input column
-            or a vector of keys in the case of a vector input column.</param>
-            <param name="inputColumnName">Name of column to convert to one-hot vectors. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/>
-            will be used as source. This column's data type can be scalar or vector of numeric, text, boolean, <see cref="T:System.DateTime"/> or <see cref="T:System.DateTimeOffset"/>,</param>
-            <param name="outputKind">Output kind: Bag (multi-set vector), Indicator (indicator vector), Key (index), or Binary encoded indicator vector.</param>
-            <param name="maximumNumberOfKeys">Maximum number of terms to keep per column when auto-training.</param>
-            <param name="keyOrdinality">How items should be ordered when vectorized. If <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/>
-            choosen they will be in the order encountered. If <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>,
-            items are sorted according to their default comparison, for example, text sorting will be case sensitive (for example, 'A' then 'Z' then 'a').</param>
-            <param name="keyData">Specifies an ordering for the encoding. If specified, this should be a single column data view,
-            and the key-values will be taken from that column. If unspecified, the ordering will be determined from the input data upon fitting.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[OneHotEncoding](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Categorical/OneHotEncoding.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.OneHotEncodingEstimator"/>, which converts one or more input text columns specified in <paramref name="columns"/>
-            into as many columns of one-hot encoded vectors.
-            </summary>
-            <remarks>If multiple columns are passed to the estimator, all of the columns will be processed in a single pass over the data.
-            Therefore, it is more efficient to specify one estimator with many columns than it is to specify many estimators each with a single column.</remarks>
-            <param name="catalog">The transform catalog.</param>
-            <param name="columns">The pairs of input and output columns. The output columns' data type will be a vector of <see cref="T:System.Single"/> if <paramref name="outputKind"/> is
-            <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag"/>, <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator"/>, and <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary"/>.
-            If <paramref name="outputKind"/> is <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key"/>, the output columns' data type will be a key in the case of scalar input column
-            or a vector of keys in the case of a vector input column.</param>
-            <param name="outputKind">Output kind: Bag (multi-set vector), Ind (indicator vector), Key (index), or Binary encoded indicator vector.</param>
-            <param name="maximumNumberOfKeys">Maximum number of terms to keep per column when auto-training.</param>
-            <param name="keyOrdinality">How items should be ordered when vectorized. If <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/>
-            choosen they will be in the order encountered. If <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>,
-            items are sorted according to their default comparison, for example, text sorting will be case sensitive (for example, 'A' then 'Z' then 'a').</param>
-            <param name="keyData">Specifies an ordering for the encoding. If specified, this should be a single column data view,
-            and the key-values will be taken from that column. If unspecified, the ordering will be determined from the input data upon fitting.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[OneHotEncoding](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Categorical/OneHotEncodingMultiColumn.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.Transforms.OneHotEncodingEstimator.ColumnOptions[])">
-            <summary>
-            Convert several text column into one-hot encoded vectors.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The column settings.</param>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.Transforms.OneHotEncodingEstimator.ColumnOptions[],Microsoft.ML.IDataView)">
-            <summary>
-            Convert several text column into one-hot encoded vectors.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The column settings.</param>
-            <param name="keyData">Specifies an ordering for the encoding. If specified, this should be a single column data view,
-            and the key-values will be taken from that column. If unspecified, the ordering will be determined from the input data upon fitting.</param>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingEstimator"/>, which converts a text column specified by <paramref name="inputColumnName"/>
-            into a hash-based one-hot encoded vector column named <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="catalog">The transform catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/> if <paramref name="outputKind"/> is
-            <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag"/>, <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator"/>, and <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary"/>.
-            If <paramref name="outputKind"/> is <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key"/>, this column's data type will be a key in the case of a scalar input column
-            or a vector of keys in the case of a vector input column. </param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This column's data type can be scalar or vector of numeric, text, boolean, <see cref="T:System.DateTime"/> or <see cref="T:System.DateTimeOffset"/>.</param>
-            <param name="outputKind">The conversion mode.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each term should be included in the hash.</param>
-            <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[OneHotHashEncoding](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Categorical/OneHotHashEncoding.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingEstimator"/>, which converts one or more input text columns specified by <paramref name="columns"/>
-            into as many columns of hash-based one-hot encoded vectors.
-            </summary>
-            <remarks>If multiple columns are passed to the estimator, all of the columns will be processed in a single pass over the data.
-            Therefore, it is more efficient to specify one estimator with many columns than it is to specify many estimators each with a single column.
-            </remarks>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns. The output columns' data type will be a vector of <see cref="T:System.Single"/> if <paramref name="outputKind"/> is
-            <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag"/>, <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator"/>, and <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary"/>.
-            If <paramref name="outputKind"/> is <see cref="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key"/>, the output columns' data type will be a key in the case of scalar input column
-            or a vector of keys in the case of a vector input column.</param>
-            <param name="outputKind">The conversion mode.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each term should be included in the hash.</param>
-            <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column. Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[OneHotHashEncoding](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Categorical/OneHotHashEncodingMultiColumn.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.Transforms.OneHotHashEncodingEstimator.ColumnOptions[])">
-            <summary>
-            Convert several text column into hash-based one-hot encoded vectors.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The column settings.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CountFeatureSelectingEstimator">
-             <summary>
-              Selects the slots for which the count of non-default values is greater than or equal to a threshold.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector or scalar of <xref:System.Single>, <xref:System.Double> or [text](xref:Microsoft.ML.Data.TextDataViewType) data types|
-             | Output column data type | Same as the input column|
-             | Exportable to ONNX | Yes |
-            
-             This transform uses a set of aggregators to count the number of values for each slot (vector element)
-             that are non-default and non-missing (for the definitions of default and missing, refer to the remarks section
-             in <xref:Microsoft.ML.Data.DataKind>). If the count value is less than the provided count parameter, that slot is dropped.
-             This transform is useful when applied together with a <xref:Microsoft.ML.Transforms.OneHotHashEncodingTransformer>.
-             It can remove the features generated by the hash transform that have no data in the examples.
-            
-             For example, if we set the count parameter to 3 and fit the estimator, apply the transformer to the following Features column,
-             we would see the second slot, containing: NaN (missing value), 5, 5, 0 (default value) values being dropped because that slot
-             has only two non-default and non-missing values, i.e. the two 5 values.
-             The third slot is being kept, because it has the values 6, 6, 6, NaN; so it has 3 non-default and non-missing.
-            
-             |  Features |
-             | -- |
-             |4,NaN,6  |
-             |4,5,6 |
-             |4,5,6 |
-             |4,0,NaN|
-            
-             This is how the dataset above would look, after the transformation.
-            
-             |  Features |
-             | -- |
-             |4,6  |
-             |4,6 |
-             |4,6 |
-             |4,NaN|
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int64)"/>
-             <seealso cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions.Name">
-            <summary> Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions.InputColumnName"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions.InputColumnName">
-            <summary> Name of the column to transform.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions.Count">
-            <summary>If the count of non-default values for a slot is greater than or equal to this threshold in the training data, the slot is preserved.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Int64)">
-            <summary>
-            Describes the parameters of the feature selection process for a column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="count">If the count of non-default values for a slot is greater than or equal to this threshold in the training data, the slot is preserved.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions[])">
-            <member name="CountFeatureSelection">
-      <summary>
-        Selects the slots for which the count of non-default values is greater than or equal to a threshold.
-      </summary>
-      <remarks>
-        <para>
-          This transform uses a set of aggregators to count the number of non-default values for each slot and
-          instantiates a <see cref="T:Microsoft.ML.Transforms.SlotsDroppingTransformer" /> to actually drop the slots.
-          This transform is useful when applied together with a <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingTransformer" />. 
-          The count feature selection can remove those features generated by the hash transform that have no data in the examples.
-        </para>
-      </remarks>
-    </member>
-            <param name="env">The environment to use.</param>
-            <param name="columns">Describes the parameters of the feature selection process for each column pair.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CountFeatureSelectingEstimator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/FeatureSelectionTransform.cs?range=1-4,10-121)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int64)">
-            <member name="CountFeatureSelection">
-      <summary>
-        Selects the slots for which the count of non-default values is greater than or equal to a threshold.
-      </summary>
-      <remarks>
-        <para>
-          This transform uses a set of aggregators to count the number of non-default values for each slot and
-          instantiates a <see cref="T:Microsoft.ML.Transforms.SlotsDroppingTransformer" /> to actually drop the slots.
-          This transform is useful when applied together with a <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingTransformer" />. 
-          The count feature selection can remove those features generated by the hash transform that have no data in the examples.
-        </para>
-      </remarks>
-    </member>
-            <param name="env">The environment to use.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
-            <param name="minCount">If the count of non-default values for a slot is greater than or equal to this threshold in the training data, the slot is preserved.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[CountFeatureSelectingEstimator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/FeatureSelectionTransform.cs?range=1-4,10-121)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.ITransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectingEstimator.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.CountFeatureSelectingEstimator.Options,Microsoft.ML.IDataView)">
-            <summary>
-            Create method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountFeatureSelectionUtils.Train(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String[],System.Int32[]@)">
-            <summary>
-            Returns the feature selection scores for each slot of each column.
-            </summary>
-            <param name="env">The host environment.</param>
-            <param name="input">The input dataview.</param>
-            <param name="columns">The columns for which to compute the feature selection scores.</param>
-            <param name="colSizes">Outputs an array containing the vector sizes of the input columns</param>
-            <returns>A list of scores.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CustomMappingFactoryAttributeAttribute">
-            <summary>
-            Place this attribute onto a type to cause it to be considered a custom mapping factory.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CustomMappingFactory`2">
-            <summary>
-            The base type for custom mapping factories.
-            </summary>
-            <typeparam name="TSrc">The type that describes what 'source' columns are consumed from the input <see cref="T:Microsoft.ML.IDataView"/>.</typeparam>
-            <typeparam name="TDst">The type that describes what new columns are added by this transform.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingFactory`2.GetMapping">
-            <summary>
-            Returns the mapping delegate that maps from <typeparamref name="TSrc"/> inputs to <typeparamref name="TDst"/> outputs.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.StatefulCustomMappingFactory`3">
-            <summary>
-            The base type for stateful custom mapping factories.
-            </summary>
-            <typeparam name="TSrc">The type that describes what 'source' columns are consumed from the input <see cref="T:Microsoft.ML.IDataView"/>.</typeparam>
-            <typeparam name="TDst">The type that describes what new columns are added by this transform.</typeparam>
-            <typeparam name="TState">The type that describes the state object the mapping uses.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingFactory`3.GetMapping">
-            <summary>
-            Returns the mapping delegate that maps from a <typeparamref name="TSrc"/> input and a state object of type <typeparamref name="TState"/>,
-            to a <typeparamref name="TDst"/> output.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingFactory`3.GetStateInitAction">
-            <summary>
-            Returns an action that is called once before the row cursor is initialized, to initialize the state object used by the cursor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CustomMappingTransformer`2">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.CustomMappingEstimator`2"/>.
-            </summary>
-            <typeparam name="TSrc">The type that describes what 'source' columns are consumed from the input <see cref="T:Microsoft.ML.IDataView"/>.</typeparam>
-            <typeparam name="TDst">The type that describes what new columns are added by this transform.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.CustomMappingTransformer`2.Microsoft#ML#ITransformer#IsRowToRowMapper">
-            <summary>
-            Whether a call to <see cref="M:Microsoft.ML.ITransformer.GetRowToRowMapper(Microsoft.ML.DataViewSchema)"/> should succeed, on an
-            appropriate schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingTransformer`2.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Action{`0,`1},System.String,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Create a custom mapping of input columns to output columns.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="mapAction">The action by which we map source to destination columns</param>
-            <param name="contractName">The name of the action (will be saved to the model).</param>
-            <param name="inputSchemaDefinition">Additional parameters for schema mapping between <typeparamref name="TSrc"/> and input data.</param>
-            <param name="outputSchemaDefinition">Additional parameters for schema mapping between <typeparamref name="TDst"/> and output data.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingTransformer`2.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.DataViewSchema"/> which would be produced by the transformer applied to
-            an input data with schema <paramref name="inputSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingTransformer`2.Transform(Microsoft.ML.IDataView)">
-            <summary>
-            Take the data in, make transformations, output the data.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual transformations happen here, just schema validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingTransformer`2.Microsoft#ML#ITransformer#GetRowToRowMapper(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Constructs a row-to-row mapper based on an input schema. If <see cref="P:Microsoft.ML.ITransformer.IsRowToRowMapper"/>
-            is <c>false</c>, then an exception is thrown. If the <paramref name="inputSchema"/> is in any way
-            unsuitable for constructing the mapper, an exception is likewise thrown.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CustomMappingEstimator`2">
-             <summary>
-             Applies a custom mapping function to the specified input columns. The result will be in output columns.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Any |
-             | Output column data type | Any |
-             | Exportable to ONNX | No |
-            
-             The resulting <xref:Microsoft.ML.Transforms.CustomMappingTransformer`2> applies a user defined mapping
-             to one or more input columns and produces one or more output columns. This transformation doesn't change the number of rows,
-             and can be seen as the result of applying the user's function to every row of the input data.
-            
-             The provided custom function must be thread-safe and free from side effects.
-             The order with which it is applied to the rows of data cannot be guaranteed.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.CustomMappingCatalog.CustomMapping``2(Microsoft.ML.TransformsCatalog,System.Action{``0,``1},System.String,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingEstimator`2.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Action{`0,`1},System.String,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Create a custom mapping of input columns to output columns.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="mapAction">The mapping action. This must be thread-safe and free from side effects.</param>
-            <param name="contractName">The contract name, used by ML.NET for loading the model. If <c>null</c> is specified, such a trained model would not be save-able.</param>
-            <param name="inputSchemaDefinition">Additional parameters for schema mapping between <typeparamref name="TSrc"/> and input data.</param>
-            <param name="outputSchemaDefinition">Additional parameters for schema mapping between <typeparamref name="TDst"/> and output data.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CustomMappingEstimator`2.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ICountTable.GetCounts(System.Int64,System.Span{System.Single})">
-            <summary>
-            Populate the <paramref name="counts"/> array with the counts for the input key
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.ICountTable.GarbageThreshold">
-            <summary>
-            Garbage threshold the table is using
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.SignatureCountTableBuilder">
-            <summary>
-            Signature for CountTableBuilder.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CountTableBuilderBase">
-            <summary>
-            Builds a table that provides counts to the <see cref="T:Microsoft.ML.Transforms.CountTargetEncodingTransformer"/>
-            by going over the training data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountTableBuilderBase.CreateCMCountTableBuilder(System.Int32,System.Int32)">
-            <summary>
-            Create a builder that creates the count table using the count-min sketch structure, which has a smaller memory footprint,
-            at the expense of some possible overcounting due to collisions.
-            </summary>
-            <param name="depth">The depth of the count-min sketch table.</param>
-            <param name="width">The width of the count-min sketch table.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountTableBuilderBase.CreateDictionaryCountTableBuilder(System.Single)">
-            <summary>
-            Create a builder that creates the count table by building a dictionary containing the exact count of each
-            categorical feature value.
-            </summary>
-            <param name="garbageThreshold">The garbage threshold (counts below or equal to the threshold are assigned to the garbage bin).</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CountTargetEncodingEstimator">
-             <summary>
-             Transforms a categorical column into a set of features that includes the count of each label class,
-             the log-odds for each label class and the back-off indicator.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Any |
-             | Output column data type | Vector of <xref:System.Single>. |
-            
-             The resulting <xref:Microsoft.ML.Transforms.CountTargetEncodingTransformer> creates a new column, named as specified in the output column name parameters,
-             containing three parts: the count of each label class, the log-odds for each label class and the back-off indicator.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.CountTargetEncodingTransformer,System.String)" />
-             <seealso cref="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.String,Microsoft.ML.Transforms.CountTableBuilderBase,System.Single,System.Single,System.Boolean,System.Int32,System.Boolean,System.UInt32)" />
-             <seealso cref="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,System.String,Microsoft.ML.Transforms.CountTargetEncodingTransformer,System.String,System.String)"/>
-             <seealso cref="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String,Microsoft.ML.Transforms.CountTableBuilderBase,System.Single,System.Single,System.Int32,System.Boolean,System.UInt32)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CountTargetEncodingEstimator.Options">
-            <summary>
-            This is a merger of arguments for <see cref="T:Microsoft.ML.Transforms.CountTableTransformer"/> and <see cref="T:Microsoft.ML.Transforms.HashingTransformer"/>
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.CountTargetEncodingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator"/> or <see cref="T:Microsoft.ML.Transforms.CountTargetEncodingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.String,Microsoft.ML.Transforms.CountTableBuilderBase,System.Single,System.Single,System.Boolean,System.Int32,System.Boolean,System.UInt32)">
-            <summary>
-            Transforms a categorical column into a set of features that includes the count of each label class,
-            the log-odds for each label class and the back-off indicator.
-            </summary>
-            <param name="catalog">The transforms catalog.</param>
-            <param name="columns">The input and output columns.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="builder">The builder that creates the count tables from the training data.</param>
-            <param name="priorCoefficient">The coefficient with which to apply the prior smoothing to the features.</param>
-            <param name="laplaceScale">The Laplacian noise diversity/scale-parameter. Recommended values are between 0 and 1. Note that the noise
-            will only be applied if the estimator is part of an <see cref="T:Microsoft.ML.Data.EstimatorChain`1"/>, when fitting the next estimator in the chain.</param>
-            <param name="sharedTable">Indicates whether to keep counts for all columns and slots in one shared count table. If true, the keys in the count table
-            will include a hash of the column and slot indices.</param>
-            <param name="numberOfBits">The number of bits to hash the input into. Must be between 1 and 31, inclusive.</param>
-            <param name="combine">In case the input is a vector column, indicates whether the values should be combined into a single hash to create a single
-            count table, or be left as a vector of hashes with multiple count tables.</param>
-            <param name="hashingSeed">The seed used for hashing the input columns.</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.CountTargetEncodingTransformer,System.String)">
-            <summary>
-            Transforms a categorical column into a set of features that includes the count of each label class,
-            the log-odds for each label class and the back-off indicator.
-            </summary>
-            <param name="catalog">The transforms catalog.</param>
-            <param name="columns">The input and output columns.</param>
-            <param name="initialCounts">A previously trained count table containing initial counts.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String,Microsoft.ML.Transforms.CountTableBuilderBase,System.Single,System.Single,System.Int32,System.Boolean,System.UInt32)">
-            <summary>
-            Transforms a categorical column into a set of features that includes the count of each label class,
-            the log-odds for each label class and the back-off indicator.
-            </summary>
-            <param name="catalog">The transforms catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <param name="builder">The builder that creates the count tables from the training data.</param>
-            <param name="priorCoefficient">The coefficient with which to apply the prior smoothing to the features.</param>
-            <param name="laplaceScale">The Laplacian noise diversity/scale-parameter. Recommended values are between 0 and 1. Note that the noise
-            will only be applied if the estimator is part of an <see cref="T:Microsoft.ML.Data.EstimatorChain`1"/>, when fitting the next estimator in the chain.</param>
-            <param name="numberOfBits">The number of bits to hash the input into. Must be between 1 and 31, inclusive.</param>
-            <param name="combine">In case the input is a vector column, indicates whether the values should be combined into a single hash to create a single
-            count table, or be left as a vector of hashes with multiple count tables.</param>
-            <param name="hashingSeed">The seed used for hashing the input columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.CountTargetEncodingCatalog.CountTargetEncode(Microsoft.ML.TransformsCatalog,System.String,Microsoft.ML.Transforms.CountTargetEncodingTransformer,System.String,System.String)">
-            <summary>
-            Transforms a categorical column into a set of features that includes the count of each label class,
-            the log-odds for each label class and the back-off indicator.
-            </summary>
-            <param name="catalog">The transforms catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="initialCounts">A previously trained count table containing initial counts.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="labelColumn">The name of the label column.</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MultiCountTableBuilderBase">
-            <summary>
-            Handles simultaneous counting for multiple columns and slots. Incapsulates the counting strategy:
-            either keep everything in one big count table, or have a count table per column and slot
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MultiCountTableBase">
-            <summary>
-            Incapsulates count tables (or one count table) for multiple columns and slots.
-            Handles (de)serialization and featurization.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ParallelMultiCountTableBuilder">
-            <summary>
-            Implements the multi count table builder logic by keeping a count table per column and per slot
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.BagMultiCountTableBuilder">
-            <summary>
-            Implements the multi count table builder by creating one count table for everything
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.BagMultiCountTableBuilder.MultiCountTable.ProxyCountTable">
-            <summary>
-            Mixes the column and slot index into the key, and then passes it to the wrapped count table
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextAnalytics">
-            <summary>
-            Entry points for text anylytics transforms.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.ModelParameters">
-            <summary>
-            Provide details about the topics discovered by <a href="https://arxiv.org/abs/1412.1576">LightLDA.</a>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.GetLdaDetails(System.Int32)">
-            <summary>
-            Method to provide details about the topics discovered by LightLDA
-            </summary>
-            <param name="columnIndex">index of column options pair</param>
-            <returns></returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer.LdaState[],System.Collections.Generic.List{Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}},Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions[])">
-            <summary>
-            Initializes a new <see cref="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer"/> object.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="ldas">An array of LdaState objects, where ldas[i] is learnt from the i-th element of <paramref name="columns"/>.</param>
-            <param name="columnMappings">A list of mappings, where columnMapping[i] is a map of slot names for the i-th element of <paramref name="columns"/>.</param>
-            <param name="columns">Describes the parameters of the LDA process for each column pair.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator">
-             <summary>
-             The LDA transform implements <a href="https://arxiv.org/abs/1412.1576">LightLDA</a>, a state-of-the-art implementation of Latent Dirichlet Allocation.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector of <xref:System.Single> |
-             | Output column data type | Vector of <xref:System.Single>|
-             | Exportable to ONNX | No |
-            
-              Latent Dirichlet Allocation is a well-known [topic modeling](https://en.wikipedia.org/wiki/Topic_model) algorithm that infers semantic structure from text data,
-              and ultimately helps answer the question on "what is this document about?".
-              It can be used to featurize any text fields as low-dimensional topical vectors.
-              LightLDA is an extremely efficient implementation of LDA that incorporates a number of
-              optimization techniques.
-              With the LDA transform, ML.NET users can train a topic model to produce 1 million topics with 1 million words vocabulary
-              on a 1-billion-token document set one a single machine in a few hours(typically, LDA at this scale takes days and requires large clusters).
-              The most significant innovation is a super-efficient $O(1)$. [Metropolis-Hastings sampling algorithm](https://en.wikipedia.org/wiki/Metropolis–Hastings_algorithm),
-              whose running cost is agnostic of model size, allowing it to converges nearly an order of magnitude faster than other [Gibbs samplers](https://en.wikipedia.org/wiki/Gibbs_sampling).
-            
-              In an ML.NET pipeline, this estimator requires the output of some preprocessing, as its input.
-              A typical pipeline operating on text would require text normalization, tokenization and producing n-grams to supply to the LDA estimator.
-              See the example usage in the See Also section for usage suggestions.
-            
-              If we have the following three examples of text, as data points, and use the LDA transform with the number of topics set to 3,
-              we would get the results displayed in the table below. Example documents:
-              * I like to eat bananas.
-              * I eat bananas everyday.
-              * First celebrated in 1970, Earth Day now includes events in more than 193 countries,
-                which are now coordinated globally by the Earth Day Network.
-            
-              Notice the similarity in values of the first and second row, compared to the third,
-              and see how those values are indicative of similarities between those two (small) bodies of text.
-            
-              | Topic1  | Topic2  | Topic 3 |
-              | ------- | ------- | ------- |
-              |  0.5714 | 0.0000  | 0.4286  |
-              |  0.5714 | 0.0000  | 0.4286  |
-              |  0.2400 | 0.3200  | 0.4400  |
-            
-              For more technical details you can consult the following papers.
-              * [LightLDA: Big Topic Models on Modest Computer Clusters](https://arxiv.org/abs/1412.1576)
-              * [LightLDA](https://github.com/Microsoft/LightLDA)
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.LatentDirichletAllocation(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Single,System.Single,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Boolean)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Single,System.Single,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Boolean,System.Boolean)">
-            <!-- No matching elements were found for the following include tag --><include file="doc.xml" path="doc/members/member[@name=&quot;LightLDA&quot;]/*" />
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
-            <param name="numberOfTopics">The number of topics.</param>
-            <param name="alphaSum">Dirichlet prior on document-topic vectors.</param>
-            <param name="beta">Dirichlet prior on vocab-topic vectors.</param>
-            <param name="samplingStepCount">Number of Metropolis Hasting step.</param>
-            <param name="maximumNumberOfIterations">Number of iterations.</param>
-            <param name="numberOfThreads">The number of training threads. Default value depends on number of logical processors.</param>
-            <param name="maximumTokenCountPerDocument">The threshold of maximum count of tokens per doc.</param>
-            <param name="numberOfSummaryTermsPerTopic">The number of words to summarize the topic.</param>
-            <param name="likelihoodInterval">Compute log likelihood over local dataset on this iteration interval.</param>
-            <param name="numberOfBurninIterations">The number of burn-in iterations.</param>
-            <param name="resetRandomGenerator">Reset the random number generator for each document.</param>
-            <param name="outputTopicWordSummary">Whether to output the topic-word summary in text format when saving the model to disk.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions[])">
-            <!-- No matching elements were found for the following include tag --><include file="doc.xml" path="doc/members/member[@name=&quot;LightLDA&quot;]/*" />
-            <param name="env">The environment.</param>
-            <param name="columns">Describes the parameters of the LDA process for each column pair.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.Name">
-            <summary>
-            Name of the column resulting from the transformation of <cref see="InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.InputColumnName">
-            <summary>
-            Name of column to transform.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.NumberOfTopics">
-            <summary>
-            The number of topics.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.AlphaSum">
-            <summary>
-            Dirichlet prior on document-topic vectors.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.Beta">
-            <summary>
-            Dirichlet prior on vocab-topic vectors.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.SamplingStepCount">
-            <summary>
-            Number of Metropolis Hasting step.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.NumberOfIterations">
-            <summary>
-            Number of iterations.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.LikelihoodInterval">
-            <summary>
-            Compute log likelihood over local dataset on this iteration interval.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.NumberOfThreads">
-            <summary>
-            The number of training threads.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.MaximumTokenCountPerDocument">
-            <summary>
-            The threshold of maximum count of tokens per doc.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.NumberOfSummaryTermsPerTopic">
-            <summary>
-            The number of words to summarize the topic.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.NumberOfBurninIterations">
-            <summary>
-            The number of burn-in iterations.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.ResetRandomGenerator">
-            <summary>
-            Reset the random number generator for each document.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.OutputTopicWordSummary">
-            <summary>
-            Whether to output the topic-word summary in text format when saving the model to disk.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.ColumnOptions.#ctor(System.String,System.String,System.Int32,System.Single,System.Single,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Boolean,System.Boolean)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">The column containing the output scores over a set of topics, represented as a vector of floats. </param>
-            <param name="inputColumnName">The column representing the document as a vector of floats.A null value for the column means <paramref name="inputColumnName"/> is replaced. </param>
-            <param name="numberOfTopics">The number of topics.</param>
-            <param name="alphaSum">Dirichlet prior on document-topic vectors.</param>
-            <param name="beta">Dirichlet prior on vocab-topic vectors.</param>
-            <param name="samplingStepCount">Number of Metropolis Hasting step.</param>
-            <param name="maximumNumberOfIterations">Number of iterations.</param>
-            <param name="likelihoodInterval">Compute log likelihood over local dataset on this iteration interval.</param>
-            <param name="numberOfThreads">The number of training threads. Default value depends on number of logical processors.</param>
-            <param name="maximumTokenCountPerDocument">The threshold of maximum count of tokens per doc.</param>
-            <param name="numberOfSummaryTermsPerTopic">The number of words to summarize the topic.</param>
-            <param name="numberOfBurninIterations">The number of burn-in iterations.</param>
-            <param name="resetRandomGenerator">Reset the random number generator for each document.</param>
-            <param name="outputTopicWordSummary">Whether to output the topic-word summary in text format when saving the model to disk.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramHashingTransformer">
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>.
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions[])">
-            <summary>
-            Constructor for case where you don't need to 'train' transform on data, for example, MaximumNumberOfInverts for all columns set to zero.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="columns">Description of dataset columns and how to process them.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector of [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Vector of known size of <xref:System.Single> |
-             | Exportable to ONNX | No |
-            
-             The resulting <xref:Microsoft.ML.Transforms.Text.NgramHashingTransformer> creates a new column, named as specified in the output column name parameters, and
-             produces a vector of n-gram counts (sequences of consecutive words of length 1-n) from a given data.
-             It does so by hashing each n-gram and using the hash value as the index in the bag.
-            
-             <xref:Microsoft.ML.Transforms.Text.NgramHashingEstimator> is different from <xref:Microsoft.ML.Transforms.Text.WordHashBagEstimator>
-             in a way that The former takes tokenized text as input while the latter tokenizes text internally.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32,System.Boolean)" />
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one pair of mulitple inputs - singular output columns.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.Name">
-            <summary>Name of the column resulting from the transformation of <see cref="P:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.InputColumnNames"/>.</summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.InputColumnNames">
-            <summary>Names of the columns to transform.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.NgramLength">
-            <summary>Maximum n-gram length.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.SkipLength">
-            <summary>Maximum number of tokens to skip when constructing an n-gram.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.UseAllLengths">
-            <summary>Whether to store all n-gram lengths up to <see cref="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.NgramLength"/>, or only <see cref="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.NgramLength"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.NumberOfBits">
-            <summary>Number of bits to hash into. Must be between 1 and 31, inclusive.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.Seed">
-            <summary>Hashing seed.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.UseOrderedHashing">
-            <summary>Whether the position of each term should be included in the hash.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.MaximumNumberOfInverts">
-            <summary>
-            During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.
-            Hashing, as such, can map many initial values to one.
-            <see cref="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.MaximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.RehashUnigrams">
-            <summary>Whether to rehash unigrams.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.#ctor(System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,System.UInt32,System.Boolean,System.Int32,System.Boolean)">
-            <summary>
-            Describes how the transformer maps several input columns, <paramref name="inputColumnNames"/>, to a output column, <paramref name="name"/>.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.</param>
-            <param name="inputColumnNames">Names of the columns to transform. </param>
-            <param name="ngramLength">Maximum n-gram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to store all n-gram lengths up to <paramref name="ngramLength"/>, or only <paramref name="ngramLength"/>.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 31, inclusive.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each term should be included in the hash.</param>
-            <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the metadata for the new column.
-            Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="rehashUnigrams">Whether to rehash unigrams.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-             <summary>
-             Produces a bag of counts of hashed n-grams in <paramref name="inputColumnName"/>
-             and outputs n-gram vector as <paramref name="outputColumnName"/>
-            
-             <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> in a way that <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>
-             takes tokenized text as input while <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> tokenizes text internally.
-             </summary>
-             <param name="env">The environment.</param>
-             <param name="outputColumnName">Name of output column, will contain the n-gram vector. Null means <paramref name="inputColumnName"/> is replaced.</param>
-             <param name="inputColumnName">Name of input column containing tokenized text.</param>
-             <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-             <param name="ngramLength">Ngram length.</param>
-             <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-             <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-             <param name="seed">Hashing seed.</param>
-             <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-             <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-             Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-             <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-             <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-             <summary>
-             Produces a bag of counts of hashed n-grams in <paramref name="inputColumnNames"/>
-             and outputs n-gram vector as <paramref name="outputColumnName"/>
-            
-             <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> in a way that <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>
-             takes tokenized text as input while <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> tokenizes text internally.
-             </summary>
-             <param name="env">The environment.</param>
-             <param name="outputColumnName">Name of output column, will contain the n-gram vector.</param>
-             <param name="inputColumnNames">Name of input columns containing tokenized text.</param>
-             <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-             <param name="ngramLength">Ngram length.</param>
-             <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-             <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-             <param name="seed">Hashing seed.</param>
-             <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-             <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-             Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-             <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-             <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions[])">
-             <summary>
-             Produces a bag of counts of hashed n-grams in <paramref name="columns.inputs.inputs"/>
-             and outputs n-gram vector for each output in <paramref name="columns.output.output"/>
-            
-             <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> in a way that <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>
-             takes tokenized text as input while <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> tokenizes text internally.
-             </summary>
-             <param name="env">The environment.</param>
-             <param name="columns">Array of columns which specifies the behavior of the transformation.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramHashingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator">
-             <summary>
-             Produces a vector of counts of n-grams (sequences of consecutive words) encountered in the input text.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector of [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Known-sized vector of <xref:System.Single> |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.Text.NgramExtractingTransformer>
-             creates a new column, named as specified in the output column name parameters, where each
-             input vector is mapped to a vector of counts of n-grams (sequences of consecutive words) encountered in the input text.
-            
-             The estimator builds a dictionary of n-grams and the <xref:Microsoft.ML.Transforms.Text.NgramExtractingTransformer>
-             uses the id in the dictionary as the index in the count vector that it produces.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.ProduceNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria">
-            <summary>
-            A statistical measure used to evaluate how important a word is to a document in a corpus.
-            This enumeration is serialized.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria.Tf">
-            <summary>Term Frequency. Calculated based on the number of occurrences in the document.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria.Idf">
-            <summary>
-            Inverse Document Frequency. A ratio (the logarithm of inverse relative frequency)
-            that measures the information a slot provides by determining how common or rare it is across the entire corpus.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria.TfIdf">
-            <summary>The product of the term frequency and the inverse document frequency.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="inputColumnName"/>
-            and outputs bag of word vector as <paramref name="outputColumnName"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="columns.inputs.inputs"/>
-            and outputs bag of word vector for each output in <paramref name="columns.output.output"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to compute bag of word vector.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions[])">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="columns.inputs.inputs"/>
-            and outputs bag of word vector for each output in <paramref name="columns.output.output"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Array of columns with information how to transform data.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.Name">
-            <summary>Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.InputColumnName"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.InputColumnName">
-            <summary>Name of column to transform.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.NgramLength">
-            <summary>Maximum n-gram length.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.SkipLength">
-            <summary>Maximum number of tokens to skip when constructing an n-gram.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.UseAllLengths">
-            <summary>Whether to store all n-gram lengths up to ngramLength, or only ngramLength.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.Weighting">
-            <summary>The weighting criteria.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions._maximumNgramsCounts">
-            <summary>
-            Underlying state of <see cref="P:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.MaximumNgramsCounts"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.MaximumNgramsCounts">
-            <summary>
-            Contains the maximum number of terms (that is, n-grams) to store in the dictionary, for each level of n-grams,
-            from n=1 (in position 0) up to n=<see cref="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.NgramLength"/> (in position <see cref="F:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.NgramLength"/>-1)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Int32,System.Int32,System.Boolean,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria,System.Int32)">
-            <summary>
-            Describes how the transformer handles one Gcn column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="ngramLength">Maximum n-gram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to store all n-gram lengths up to ngramLength, or only ngramLength.</param>
-            <param name="weighting">The weighting criteria.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.SentimentAnalyzingTransformer">
-            <summary>
-        Uses a pretrained sentiment model to score input strings.
-      </summary><remarks>
-        <para>The Sentiment transform returns the probability that the sentiment of a natural text is positive. </para>
-        <para>
-          The model was trained with the <a href="https://anthology.aclweb.org/P/P14/P14-1146.pdf">Sentiment-specific word embedding (SSWE)</a>  and NGramFeaturizer on Twitter sentiment data,
-          similarly to the sentiment analysis part of the
-          <a href="https://www.microsoft.com/cognitive-services/en-us/text-analytics-api">Text Analytics cognitive service</a>. 
-          The transform outputs a score between 0 and 1 as a sentiment prediction 
-          (where 0 is a negative sentiment and 1 is a positive sentiment).</para> 
-          <para>Currently it supports only English.</para>
-      </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.SentimentAnalyzingTransformer.AliasIfNeeded(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String[],System.Collections.Generic.KeyValuePair{System.String,System.String}[]@)">
-            <summary>
-            If any column names in <param name="colNames" /> are present in <param name="input" />, this
-            method will create a transform that copies them to temporary columns. It will populate <param name="hiddenNames" />
-            with an array of string pairs containing the original name and the generated temporary column name, respectively.
-            </summary>
-            <param name="env"></param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.StopWordsRemovingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.StopWordsRemovingTransformer.Columns">
-            <summary>
-            Defines the behavior of the transformer.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.StopWordsRemovingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions[])">
-            <summary>
-            Stopword remover removes language-specific list of stop words (most common words).
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to remove stop words from.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Output column data type | Variable-sized vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.Text.StopWordsRemovingTransformer> creates a new column, named as specified in the output column name parameter,
-             and fills it with a vector of words containing all of the words in the input column **except the predefined list of stopwords for the specified language.
-             All text comparison made by casting predefined text and text from input column to lower case using casing rules of invariant culture.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.RemoveDefaultStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language)" />
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Options">
-            <summary>
-            Use stop words remover that can remove language-specific list of stop words (most common words) already defined in the system.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Options.Language">
-            <summary>
-            Language of the text dataset. 'English' is default.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions.Name">
-            <summary>Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions.InputColumnName"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions.InputColumnName">
-            <summary>Name of the column to transform.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions.Language">
-            <summary>Language-specific stop words list.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions.LanguageColumn">
-            <summary>Optional column to use for languages. This overrides language value.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.ColumnOptions.#ctor(System.String,System.String,Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language,System.String)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="language">Language-specific stop words list.</param>
-            <param name="languageColumn">Optional column to use for languages. This overrides language value.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language">
-            <summary>
-            Stopwords language. This enumeration is serialized.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language)">
-            <summary>
-            Removes stop words from incoming token streams in <paramref name="inputColumnName"/>
-            and outputs the token streams without stopwords as <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="language">Langauge of the input text column <paramref name="inputColumnName"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[],Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language)">
-            <summary>
-            Removes stop words from incoming token streams in input columns
-            and outputs the token streams without stop words as output columns.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to remove stop words on.</param>
-            <param name="language">Langauge of the input text columns <paramref name="columns"/>.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer.Columns">
-            <summary>
-            The names of the input output column pairs on which this transformation is applied.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String[],System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Custom stopword remover removes specified list of stop words.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="stopwords">Array of words to remove.</param>
-            <param name="columns">Pairs of columns to remove stop words from.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Output column data type | Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingTransformer> creates a new column, named as specified by the output column name parameter, and
-             fills it with a vector of words containing all of the words in the input column except those given by the stopwords parameter.
-             All text comparison made by casting provided words and words from input column to lower case using casing rules of invariant culture.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.RemoveStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String[])" />
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator.Options">
-            <summary>
-            Use stop words remover that can removes language-specific list of stop words (most common words) already defined in the system.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator.Options.StopWords">
-            <summary>
-            List of stop words to remove.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String[])">
-            <summary>
-            Removes stop words from incoming token streams in <paramref name="inputColumnName"/>
-            and outputs the token streams without stopwords as <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="stopwords">Array of words to remove.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[],System.String[])">
-            <summary>
-            Removes stop words from incoming token streams in input columns
-            and outputs the token streams without stop words as output columns.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to remove stop words on.</param>
-            <param name="stopwords">Array of words to remove.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.IStopWordsRemoverOptions">
-            <summary>
-            Defines the different type of stop words remover supported.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator">
-             <summary>
-              An estimator that turns a collection of text documents into numerical feature vectors.
-              The feature vectors are normalized counts of word and/or character n-grams (based on the options supplied).
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes. |
-             | Input column data type | [text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Output column data type | Vector of <xref:System.Single> |
-             | Exportable to ONNX | No |
-            
-             This estimator gives the user one-stop solution for doing:
-             * Language Detection
-             * [Tokenization](https://en.wikipedia.org/wiki/Lexical_analysis#Tokenization)
-             * [Text normalization](https://en.wikipedia.org/wiki/Text_normalization)
-             * [Predefined and custom stopwords removal](https://en.wikipedia.org/wiki/Stop_words)
-             * [Word-based or character-based Ngram extraction and SkipGram extraction (through the advanced [options](xref:Microsoft.ML.Transforms.TextFeaturizingEstimator.Options.WordFeatureExtractor))](https://en.wikipedia.org/wiki/N-gram)
-             * [TF, IDF or TF-IDF](https://en.wikipedia.org/wiki/Tf%E2%80%93idf)
-             * [L-p vector normalization](xref: Microsoft.ML.Transforms.LpNormNormalizingTransformer)
-            
-             By default the features are made of (word/character) n-grams/skip-grams​ and the number of features are equal to the vocabulary size found by analyzing the data.
-             To output an additional column with the tokens generated, use [OutputTokensColumnName](xref:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.OutputTokensColumnName).
-             The number of features can also be specified by selecting the maximum number of n-gram to keep in the <xref:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options>, where the estimator can be further tuned.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options,System.String[])"/>
-             <seealso cref="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Language">
-            <summary>
-            Text language. This enumeration is serialized.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.NormFunction">
-            <summary>
-            Text vector normalizer kind.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.NormFunction.None">
-            <summary>
-            Use this to disable normalization.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.NormFunction.L1">
-            <summary>
-            L1-norm.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.NormFunction.L2">
-            <summary>
-            L2-norm.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.NormFunction.Infinity">
-            <summary>
-            Infinity-norm.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options">
-            <summary>
-            Advanced options for the <see cref="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options._stopWordsRemoverOptions">
-            <summary>
-            The underlying state of <see cref="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.StopWordsRemover"/> and <see cref="P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.StopWordsRemoverOptions"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.StopWordsRemoverOptions">
-            <summary>
-            Option to set type of stop word remover to use.
-            The following options are available
-            <list type="bullet">
-                <item>
-                    <description>The <see cref="T:Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Options"/> removes the language specific list of stop words from the input.</description>
-                </item>
-                <item>
-                   <description>The <see cref="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator.Options"/> uses user provided list of stop words.</description>
-                </item>
-            </list>
-            Setting this to 'null' does not remove stop words from the input.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options._wordFeatureExtractor">
-            <summary>
-            The underlying state of <see cref="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.WordFeatureExtractorFactory"/> and <see cref="P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.WordFeatureExtractor"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.Norm">
-            <summary>
-            Norm of the output vector. It will be normalized to one.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.WordFeatureExtractor">
-            <summary>
-            Ngram feature extractor to use for words (WordBag/WordHashBag).
-            Set to <see langword="null" /> to turn off n-gram generation for words.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options._charFeatureExtractor">
-            <summary>
-            The underlying state of <see cref="F:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.CharFeatureExtractorFactory"/> and <see cref="P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.CharFeatureExtractor"/>
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options.CharFeatureExtractor">
-            <summary>
-            Ngram feature extractor to use for characters (WordBag/WordHashBag).
-            Set to <see langword="null" /> to turn off n-gram generation for characters.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.TransformApplierParams">
-            <summary>
-            A distilled version of the TextFeaturizingEstimator  Arguments, with all fields marked readonly and
-            only the exact set of information needed to construct the transforms preserved.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.ITransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextNormalizingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.Text.TextNormalizingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.TextNormalizingTransformer.Columns">
-            <summary>
-            The names of the output and input column pairs on which the transformation is applied.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TextNormalizingTransformer.Mapper.IsCombiningDiacritic(System.Char)">
-            <summary>
-            Whether a character is a combining diacritic character or not.
-            Combining diacritic characters are the set of diacritics intended to modify other characters.
-            The list is provided by Office NL team.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextNormalizingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.Text.TextNormalizingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Scalar or Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)|
-             | Output column data type | Scalar or variable-sized Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)|
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.Text.TextNormalizingTransformer> creates a new column, named as specified
-             in the output column name parameters, and normalizes the textual input data by changing case, removing diacritical marks,
-             punctuation marks and/or numbers.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.NormalizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode,System.Boolean,System.Boolean,System.Boolean)" />
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode">
-            <summary>
-            Case normalization mode of text. This enumeration is serialized.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode.Lower">
-            <summary>
-            Make the output characters lowercased.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode.Upper">
-            <summary>
-            Make the output characters uppercased.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode.None">
-            <summary>
-            Do not change the case of output characters.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Normalizes incoming text in <paramref name="inputColumnName"/> by changing case, removing diacritical marks, punctuation marks and/or numbers
-            and outputs new text as <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="caseMode">Casing text using the rules of the invariant culture.</param>
-            <param name="keepDiacritics">Whether to keep diacritical marks or remove them.</param>
-            <param name="keepPunctuations">Whether to keep punctuation marks or remove them.</param>
-            <param name="keepNumbers">Whether to keep numbers or remove them.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode,System.Boolean,System.Boolean,System.Boolean,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Normalizes incoming text in input columns by changing case, removing diacritical marks, punctuation marks and/or numbers
-            and outputs new text as output columns.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="caseMode">Casing text using the rules of the invariant culture.</param>
-            <param name="keepDiacritics">Whether to keep diacritical marks or remove them.</param>
-            <param name="keepPunctuations">Whether to keep punctuation marks or remove them.</param>
-            <param name="keepNumbers">Whether to keep numbers or remove them.</param>
-            <param name="columns">Pairs of columns to run the text normalization on.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TextNormalizingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Boolean,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Tokenize incoming text in input columns and output the tokens as output columns.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="useMarkerCharacters">Whether to prepend a marker character, <see langword="0x02"/>, to the beginning,
-            and append another marker character, <see langword="0x03"/>, to the end of the output vector of characters.</param>
-            <param name="columns">Pairs of columns to run the tokenization on.</param>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer.Columns">
-            <summary>
-            The names of the output and input column pairs on which the transformation is applied.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer.Mapper.GetKeyValues(System.Int32,Microsoft.ML.Data.VBuffer{System.ReadOnlyMemory{System.Char}}@)">
-            <summary>
-            Get the key values (chars) corresponding to keys in the output columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Scalar or Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |
-             | Output column data type | Variable-sized vector of [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Exportable to ONNX | Yes |
-            
-             The estimator tokenizes characters by splitting text into sequences of characters using a sliding window.
-             During training, the estimator builds a key-value pair dictionary with the encountered sequences of characters.
-            
-             The <xref:Microsoft.ML.Transforms.Text.TokenizingByCharactersTransformer> resulting from fitting the estimator
-             creates a new column, named as specified in the output column name parameters, which contains the keys of the
-             sequences of characters that were encountered in the input.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.TokenizeIntoCharactersAsKeys(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Boolean)" />
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Boolean)">
-            <summary>
-            Tokenize incoming text in <paramref name="inputColumnName"/> and output the tokens as <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="useMarkerCharacters">Whether to prepend a marker character, <see langword="0x02"/>, to the beginning,
-            and append another marker character, <see langword="0x03"/>, to the end of the output vector of characters.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Boolean,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Tokenize incoming text in input columns and output the tokens as output columns.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="useMarkerCharacters">Whether to prepend a marker character, <see langword="0x02"/>, to the beginning,
-            and append another marker character, <see langword="0x03"/>, to the end of the output vector of characters.</param>
-            <param name="columns">Pairs of columns to run the tokenization on.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.SignatureNgramExtractorFactory">
-            <summary>
-            Signature for creating an INgramExtractorFactory.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.ExtractorColumn">
-            <summary>
-            A many-to-one column common to both <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractorTransform"/>
-            and <see cref="T:Microsoft.ML.Transforms.Text.NgramHashExtractingTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagBuildingTransformer.TextExpandingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext)">
-            <summary>
-            Factory method for SignatureLoadModel.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagBuildingTransformer.TextExpandingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.DataViewSchema)">
-            <summary>
-            Factory method for SignatureLoadRowMapper.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagBuildingTransformer.TextExpandingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.ModelLoadContext,Microsoft.ML.IDataView)">
-            <summary>
-            Factory method for SignatureLoadDataTransform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractorTransform">
-            <summary>
-            A transform that turns a collection of tokenized text (vector of ReadOnlyMemory), or vectors of keys into numerical
-            feature vectors. The feature vectors are counts of n-grams (sequences of consecutive *tokens* -words or keys-
-            of length 1-n).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractorTransform.ArgumentsBase">
-            <summary>
-            This class is a merger of <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer.Options"/> and
-            <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingTransformer.Options"/>, with the allLength option removed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.TermLoaderArguments">
-            <summary>
-            Arguments for defining custom list of terms or data file containing the terms.
-            The class includes a subset of <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer"/>'s arguments.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.INgramExtractorFactory">
-            <summary>
-            An n-gram extractor factory interface to create an n-gram extractor transform.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.INgramExtractorFactory.UseHashingTrick">
-            <summary>
-            Whether the extractor transform created by this factory uses the hashing trick
-            (by using <see cref="T:Microsoft.ML.Transforms.HashingTransformer"/> or <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingTransformer"/>, for example).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramExtractorFactory">
-            <summary>
-            An implementation of <see cref="T:Microsoft.ML.Transforms.Text.INgramExtractorFactory"/> to create <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractorTransform"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramHashExtractorFactory">
-            <summary>
-            An implementation of <see cref="T:Microsoft.ML.Transforms.Text.INgramExtractorFactory"/> to create <see cref="T:Microsoft.ML.Transforms.Text.NgramHashExtractingTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.NgramExtractionUtils.GenerateUniqueSourceNames(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Data.ManyToOneColumn[],Microsoft.ML.DataViewSchema)">
-            <summary>
-            Generates and returns unique names for columns source. Each element of the returned array is
-            an array of unique source names per specific column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)">
-            <summary>
-            Instantiates <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer"/> using the pretrained word embedding model specified by <paramref name="modelKind"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="modelKind">The pretrained word embedding model.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String)">
-            <summary>
-            Instantiates <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer"/> using the custom word embedding model by loading it from the file specified by the <paramref name="customModelFile"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="customModelFile">Filename for custom word embedding model.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions[])">
-            <summary>
-            Instantiates <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer"/> using the pretrained word embedding model specified by <paramref name="modelKind"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="modelKind">The pretrained word embedding model.</param>
-            <param name="columns">Input/Output columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions[])">
-            <summary>
-            Instantiates <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer"/> using the custom word embedding model by loading it from the file specified by the <paramref name="customModelFile"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="customModelFile">Filename for custom word embedding model.</param>
-            <param name="columns">Input/Output columns.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator">
-             <summary>
-             Text featurizer which converts vectors of text tokens into a numerical vector using a pre-trained embeddings model.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |
-             | Output column data type | Known-sized vector of <xref:System.Single> |
-             | Exportable to ONNX | No |
-            
-             The <xref:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer> produces a new column,
-             named as specified in the output column name parameters, where each input vector is mapped to a numerical vector
-             with size of 3 * dimensionality of the embedding model used. Notice that this is independent of the size of the input vector.
-            
-             For example, when using GloVe50D, which itself is 50 dimensional, the output column is a vector of size 150.
-             The first third of slots contains the minimum values across the embeddings corresponding to each string in the input vector.
-             The second third contains the average of the embeddings. The last third of slots contains maximum values
-             of the encountered embeddings. The min/max provides a bounding hyper-rectangle for the words in the word embedding space.
-             This can assist for longer phrases where the average of many words drowns out the useful signal.
-            
-             The user can specify a custom pre-trained embeddings model or one of the available pre-trained models.
-             The available options are various versions of [GloVe Models](https://nlp.stanford.edu/projects/glove/),
-             [FastText](https://en.wikipedia.org/wiki/FastText), and [SSWE](https://anthology.aclweb.org/P/P14/P14-1146.pdf).
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)"/>
-             <seealso cref="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)">
-            <summary>
-            Extracts word embeddings.
-            Output three times more values than dimension of the model specified in <paramref name="modelKind"/>
-            First set of values represent minumum encountered values (for each dimension), second set represent average (for each dimension)
-            and third one represent maximum encountered values (for each dimension).
-            </summary>
-            <param name="env">The local instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/></param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="modelKind">The embeddings <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind"/> to use. </param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String)">
-            <summary>
-            Extracts word embeddings.
-            Output three times more values than dimension of the model specified in <paramref name="customModelFile"/>
-            First set of values represent minimum encountered values (for each dimension), second set represent average (for each dimension)
-            and third one represent maximum encountered values (for each dimension).
-            </summary>
-            <param name="env">The local instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/></param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="customModelFile">The path of the pre-trained embeddings model to use. </param>
-            <param name="inputColumnName">Name of the column to transform. </param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions[])">
-            <summary>
-            Extracts word embeddings.
-            Output three times more values than dimension of the model specified in <paramref name="modelKind"/>
-            First set of values represent minimum encountered values (for each dimension), second set represent average (for each dimension)
-            and third one represent maximum encountered values (for each dimension).
-            </summary>
-            <param name="env">The local instance of <see cref="T:Microsoft.ML.Runtime.IHostEnvironment"/></param>
-            <param name="modelKind">The embeddings <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind"/> to use. </param>
-            <param name="columns">The array columns, and per-column configurations to extract embeddings from.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind">
-            <summary>
-            Specifies which word embeddings to use.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVe50D">
-            <summary>
-            GloVe 50 dimensional word embeddings.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVe100D">
-            <summary>
-            GloVe 100 dimensional word embeddings.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVe200D">
-            <summary>
-            GloVe 200 dimensional word embeddings.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVe300D">
-            <summary>
-            GloVe 300 dimensional word embeddings.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVeTwitter25D">
-            <summary>
-            GloVe 25 dimensional word embeddings trained on Twitter data.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVeTwitter50D">
-            <summary>
-            GloVe 50 dimensional word embeddings trained on Twitter data.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVeTwitter100D">
-            <summary>
-            GloVe 100 dimensional word embeddings trained on Twitter data.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.GloVeTwitter200D">
-            <summary>
-            GloVe 200 dimensional word embeddings trained on Twitter data.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.FastTextWikipedia300D">
-            <summary>
-            FastText 300 dimensional word embeddings trained on Wikipedia.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind.SentimentSpecificWordEmbedding">
-            <summary>
-            Word embeddings trained on sentiment analysis tasks.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions">
-            <summary>
-            Information for each column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions.Name">
-            <summary>
-            Name of the column resulting from the transformation of <cref see="InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions.InputColumnName">
-            <summary>
-            Name of column to transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions.#ctor(System.String,System.String)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <cref see="inputColumnName"/>. </param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/> <cref see="name"/> will be used as source.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramHashExtractingTransformer">
-            <summary>
-            A transform that turns a collection of tokenized text (vector of ReadOnlyMemory) into numerical feature vectors
-            using the hashing trick.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.NgramHashExtractingTransformer.ArgumentsBase">
-            <summary>
-            This class is a merger of <see cref="T:Microsoft.ML.Transforms.HashingTransformer.Options"/> and
-            <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingTransformer.Options"/>, with the ordered option,
-            the rehashUnigrams option and the allLength option removed.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordTokenizingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.Text.WordTokenizingEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordTokenizingEstimator">
-             <summary>
-             Tokenizes input text using specified delimiters.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Scalar or Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType)  |
-             | Output column data type | Variable-size vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.Text.WordTokenizingTransformer> creates a new column,
-             named as specified in the output column name parameters, where each input string is mapped to a vector of substrings obtained
-             by splitting the input string according to the user defined delimiters. The space character is the default delimiter.
-            
-             Empty strings and strings containing only spaces are dropped.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.TokenizeIntoWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Char[])"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Char[])">
-            <summary>
-            Tokenize incoming text in <paramref name="inputColumnName"/> and output the tokens as <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            The output column is of type variable vector of string.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This column should be of type string.</param>
-            <param name="separators">The separators to use (uses space character by default).</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[],System.Char[])">
-            <summary>
-            Tokenize incoming text in input columns and output the tokens.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to run the tokenization on.</param>
-            <param name="separators">The separators to use (uses space character by default).</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions[])">
-            <summary>
-             Tokenize incoming text in input columns and output the tokens.
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to run the tokenization on.</param>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.Name">
-            <summary>
-            Output column name that will be used to store the tokenization result of <see cref="F:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.InputColumnName"/> column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.InputColumnName">
-            <summary>
-            Input column name that will be tokenized into words.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.Separators">
-            <summary>
-            Seperator list used to tokenize input string. If not specified, space will be used.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.SeparatorsArray">
-            <summary>
-            State of <see cref="P:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.Separators"/>. Since <see langword="char"/>[] is multable, it's not safe to directly expose this field to users.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Char[])">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="separators">Casing text using the rules of the invariant culture. If not specified, space will be used as separator.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordTokenizingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordBagEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.ITransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Output column data type | Vector of known-size of <xref:System.Single> |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.ITransformer> creates a new column, named as specified in the output column name parameters, and
-             produces a vector of n-gram counts (sequences of n consecutive words) from a given data.
-             It does so by building a dictionary of n-grams and using the id in the dictionary as the index in the bag.
-            
-             <xref:Microsoft.ML.Transforms.Text.WordBagEstimator> is different from <xref:Microsoft.ML.Transforms.Text.NgramExtractingEstimator>
-             in that the former takes tokenizes text internally while the latter takes tokenized text as input.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)" />
-             <seealso cref="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)" />
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordBagEstimator.Options">
-            <summary>
-            Options for how the n-grams are extracted.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordBagEstimator.Options.NgramLength">
-            <summary>
-            Maximum n-gram length.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordBagEstimator.Options.SkipLength">
-            <summary>
-            Maximum number of tokens to skip when constructing an n-gram.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordBagEstimator.Options.UseAllLengths">
-            <summary>
-            Whether to store all n-gram lengths up to ngramLength, or only ngramLength.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordBagEstimator.Options.MaximumNgramsCount">
-            <summary>
-            The maximum number of grams to store in the dictionary, for each level of n-grams,
-            from 1 (in position 0) up to ngramLength (in position ngramLength-1)
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.Text.WordBagEstimator.Options.Weighting">
-            <summary>
-            The weighting criteria.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria,System.Char,System.Char)">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="inputColumnName"/>
-            and outputs bag of word vector as <paramref name="outputColumnName"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-            <param name="termSeparator">Separator used to separate terms/frequency pairs.</param>
-            <param name="freqSeparator">Separator used to separate terms from their frequency.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria,System.Char,System.Char)">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="inputColumnNames"/>
-            and outputs bag of word vector as <paramref name="outputColumnName"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">The column containing output tokens.</param>
-            <param name="inputColumnNames">The columns containing text to compute bag of word vector.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-            <param name="termSeparator">Separator used to separate terms/frequency pairs.</param>
-            <param name="freqSeparator">Separator used to separate terms from their frequency.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String[]}[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria,System.Char,System.Char)">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="columns.inputs.inputs"/>
-            and outputs bag of word vector for each output in <paramref name="columns.output.output"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to compute bag of word vector.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-            <param name="termSeparator">Separator used to separate terms/frequency pairs.</param>
-            <param name="freqSeparator">Separator used to separate terms from their frequency.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary> Trains and returns a <see cref="T:Microsoft.ML.ITransformer"/>.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordBagEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Schema propagation for estimators.
-            Returns the output schema shape of the estimator, if the input schema shape is like the one provided.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.ITransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector of [Text](xref:Microsoft.ML.Data.TextDataViewType) |
-             | Output column data type | Vector of known-size of <xref:System.Single> |
-             | Exportable to ONNX | No |
-            
-             The resulting <xref:Microsoft.ML.ITransformer> creates a new column, named as specified in the output column name parameters, and
-             produces a vector of n-gram counts (sequences of n consecutive words) from a given data.
-             It does so by hashing each n-gram and using the hash value as the index in the bag.
-            
-             <xref:Microsoft.ML.Transforms.Text.WordHashBagEstimator> is different from <xref:Microsoft.ML.Transforms.Text.NgramHashingEstimator>
-             in that the former takes tokenizes text internally while the latter takes tokenized text as input.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)" />
-             <seealso cref="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)" />
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordHashBagEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Produces a bag of counts of hashed n-grams in <paramref name="inputColumnName"/>
-            and outputs bag of word vector as <paramref name="outputColumnName"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">The column containing bag of word vector. Null means <paramref name="inputColumnName"/> is replaced.</param>
-            <param name="inputColumnName">The column containing text to compute bag of word vector.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  annotations for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordHashBagEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Produces a bag of counts of hashed n-grams in <paramref name="inputColumnNames"/>
-            and outputs bag of word vector as <paramref name="outputColumnName"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">The column containing output tokens.</param>
-            <param name="inputColumnNames">The columns containing text to compute bag of word vector.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordHashBagEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String[]}[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Produces a bag of counts of hashed n-grams in <paramref name="columns.inputs.inputs"/>
-            and outputs bag of word vector for each output in <paramref name="columns.output.output"/>
-            </summary>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to compute bag of word vector.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we constuct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordHashBagEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary> Trains and returns a <see cref="T:Microsoft.ML.ITransformer"/>.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Text.WordHashBagEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Schema propagation for estimators.
-            Returns the output schema shape of the estimator, if the input schema shape is like the one provided.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ExpressionEstimator">
-             <summary>
-             This estimator applies a user provided expression (specified as a string) to input column values to produce new output column values.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | float, double, int, long, bool or text.  |
-             | Output column data type | Can be float, double, int, long, bool or text, depending on the expression. |
-            
-             The resulting [ExpressionTransformer](xref:Microsoft.ML.Transforms.ExpressionTransformer) creates a new column,
-             named as specified in the output column name parameters, where the expression is applied to the input values.
-             At most one of the input columns can be of type [VectorDataViewType](xref:Microsoft.ML.Data.VectorDataViewType), and when the input contains a vector column, the expression
-             is computed independently on each element of the vector, to create a vector output with the same length as that input.
-            
-             [!include[algorithm](~/../docs/samples/docs/api-reference/expression-estimator.md)]
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ExpressionCatalog.Expression(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String[])"/>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ExpressionEstimator.ColumnOptions.Name">
-            <summary>Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.ExpressionEstimator.ColumnOptions.InputColumnNames"/>.</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.IsNA(System.Object)">
-            <summary>
-            Returns whether the given object is non-null and an NA value for one of the standard types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.GetNA(System.Type)">
-            <summary>
-            Returns the standard NA value for the given standard type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.Ret(System.Reflection.MethodInfo[])">
-            <summary>
-            Helper method to bundle one or more MethodInfos into an array.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.Fn``1(System.Func{``0})">
-            <summary>
-            Returns the MethodInfo for the given delegate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.Fn``2(System.Func{``0,``1})">
-            <summary>
-            Returns the MethodInfo for the given delegate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.Fn``3(System.Func{``0,``1,``2})">
-            <summary>
-            Returns the MethodInfo for the given delegate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.FunctionProviderUtils.Fn``4(System.Func{``0,``1,``2,``3})">
-            <summary>
-            Returns the MethodInfo for the given delegate.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.BuiltinFunctions">
-            <summary>
-            The standard builtin functions for ExprTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BuiltinFunctions.Id``1">
-            <summary>
-            Returns the MethodInfo for <see cref="M:Microsoft.ML.Transforms.BuiltinFunctions.Id``1(``0)"/>
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BuiltinFunctions.NormalizeIndex(System.Int32,System.Int32)">
-            <summary>
-            Given an index meant to index into a given sequence normalize it according to
-            these rules: negative indices get <paramref name="len"/> added to them, and
-            then the index is clamped the range 0 to <paramref name="len"/> inclusive,
-            and that result is returned. (For those familiar with Python, this is the same
-            as the logic for slice normalization.)
-            </summary>
-            <param name="i">The index to normalize</param>
-            <param name="len">The length of the sequence</param>
-            <returns>The normalized version of the index, a non-positive value no greater
-            than <paramref name="len"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BuiltinFunctions.Pow(System.Int32,System.Int32)">
-            <summary>
-            Raise a to the b power. Special cases:
-            * a^(negative value) => 0
-            * In case of overflow, return I4.MinValue or I4.MaxValue, based on whether the result would have been
-            negative or positive.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.BuiltinFunctions.Pow(System.Int64,System.Int64)">
-            <summary>
-            Raise a to the b power. Special cases:
-            * a^(negative value) => 0
-            * In case of overflow, return I8.MinValue or I8.MaxValue, based on whether the result would have been
-            negative or positive.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LambdaCompiler.Visitor.CachedWithLocal.Value">
-            <summary>
-            The IL local containing the computed value.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LambdaCompiler.Visitor.CachedWithLocal.Flag">
-            <summary>
-            The boolean local indicating whether the value has been computed yet.
-            If the value is pre-computed, this is null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaCompiler.Visitor.GenRaw(Microsoft.ML.Transforms.ExprNode)">
-            <summary>
-            Get the raw bits from an expression node. If the node is constant, this avoids the
-            silly "convert to dv type" followed by "extract raw bits". Returns whether the expression
-            is a constant NA, with null meaning "don't know".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaCompiler.Visitor.GenBrNa(Microsoft.ML.Transforms.ExprNode,System.Reflection.Emit.Label,System.Boolean)">
-            <summary>
-            Generate code to branch to labNa if the top stack element is NA.
-            Note that this leaves the element on the stack (duplicates before comparing).
-            If rev is true, this branches when NOT NA.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaCompiler.Visitor.GenBrNaCore(Microsoft.ML.Transforms.ExprNode,Microsoft.ML.Transforms.ExprTypeKind,System.Reflection.Emit.Label,System.Boolean)">
-            <summary>
-            Generate code to branch to labNa if the top stack element is NA.
-            If dup is true, this leaves the element on the stack (duplicates before comparing).
-            If rev is true, this branches when NOT NA.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaCompiler.Visitor.GenCmpBool(Microsoft.ML.Transforms.CompareOp,System.Boolean)">
-            <summary>
-            Generate a bool from comparing the raw bits. The values are guaranteed to not be NA.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaCompiler.Visitor.GenCmpInt(Microsoft.ML.Transforms.CompareOp,System.Boolean)">
-            <summary>
-            Generate a bool from comparing the raw bits. The values are guaranteed to not be NA.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaCompiler.Visitor.GenCmpFloat(Microsoft.ML.Transforms.CompareOp,System.Boolean)">
-            <summary>
-            Generate a bool from comparing the raw bits. The values are guaranteed to not be NA.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Exec">
-            <summary>
-            This class contains static helper methods needed for execution.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Exec.#ctor">
-            <summary>
-            Currently this class is not intended to be instantiated. However the methods generated
-            by ExprTransform need to be associated with some public type. This one serves that
-            purpose as well as containing static helpers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.IFunctionProvider">
-            <summary>
-            This interface enables extending the ExprTransform language with additional functions.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.IFunctionProvider.NameSpace">
-            <summary>
-            The namespace for this provider. This should be a legal identifier in the expression language.
-            Multiple providers may contribute to the same namespace.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.IFunctionProvider.Lookup(System.String)">
-            <summary>
-            Returns an array of overloads for the given function name. This may return null instead of an
-            empty array. The returned MethodInfos should  be public static methods that can be freely invoked
-            by IL in a different assembly. They should also be "pure" functions - with the output only
-            depending on the inputs and NOT on any global state.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.IFunctionProvider.ResolveToConstant(System.String,System.Reflection.MethodInfo,System.Object[])">
-            <summary>
-            If the function's value can be determined by the given subset of its arguments, this should
-            return the resulting value. Note that this should only be called if values is non-empty and
-            contains at least one null. If all the arguments are non-null, then the MethodInfo will be
-            invoked to produce the value.
-            </summary>
-            <param name="name">The name of the function.</param>
-            <param name="meth">The MethodInfo provided by Lookup. When there are multiple overloads of
-            a function with a given name, this can be used to determine which overload is being used.</param>
-            <param name="values">The values of the input arguments, with null for the non-constant arguments. This should
-            only be called if there is at least one null.</param>
-            <returns>The constant value, when it can be determined; null otherwise.</returns>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ILGeneratorExtensions">
-            <summary>
-            Helper extension methods for using ILGenerator.
-            Rather than typing out something like:
-              il.Emit(OpCodes.Ldarg_0);
-              il.Emit(OpCodes.Ldarg_1);
-              il.Emit(OpCodes.Ldc_I4, i);
-              il.Emit(OpCodes.Ldelem_Ref);
-              il.Emit(OpCodes.Stfld, literalFields[i]);
-            You can do:
-              il
-                  .Ldarg(0)
-                  .Ldarg(1)
-                  .Ldc_I4(i)
-                  .Ldelem_Ref()
-                  .Stfld(literalFields[i]);
-            It also provides some type safety over the Emit methods by ensuring
-            that you don't pass any args when using Add or that you only
-            pass a Label when using Br.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyWordTable">
-            <summary>
-            Maps from normalized string to keyword token kind. A lexer must be provided with one of these.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.Run(Microsoft.ML.Runtime.IHostEnvironment,System.Collections.Generic.List{Microsoft.ML.Transforms.Error}@,Microsoft.ML.Transforms.LambdaNode,System.Action{System.String})">
-            <summary>
-            Run Lambda binder on LambdaNode and populate Expr values.
-            The errors contain list of user errors that occurred during binding.
-            The printError delegate is only used for reporting issues with function provider implementations, which are programmer errors.
-            In particular, it is NOT used to report user errors in the lambda expression.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.ReconcileNumericTypes(Microsoft.ML.Transforms.ExprNode,Microsoft.ML.Transforms.ExprNode,Microsoft.ML.Transforms.ExprTypeKind@)">
-            <summary>
-            Reconcile the types of the two ExprNodes. Favor numeric types in cases
-            where the types can't be reconciled. This does not guarantee that
-            the resulting kind is numeric, eg, if both a and b are of type Text, it
-            simply sets kind to Text.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.Candidate.IsApplicable(Microsoft.ML.Transforms.ExprTypeKind[],System.Int32@)">
-            <summary>
-            Returns whether this candidate is applicable to the given argument types.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.Candidate.CompareSignatures(Microsoft.ML.Transforms.LambdaBinder.Candidate)">
-            <summary>
-            Returns -1 if 'this' is better than 'other', 0 if they are the same, +1 otherwise.
-            Non-variable is always better than variable. When both are variable, longer prefix is
-            better than shorter prefix.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.CanConvert(Microsoft.ML.Transforms.ExprTypeKind,Microsoft.ML.Transforms.ExprTypeKind)">
-            <summary>
-            Returns whether the given source type can be converted to the given destination type,
-            for the purposes of function invocation. Returns true if src is null and dst is any
-            valid type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.Convert(Microsoft.ML.Transforms.ExprNode,Microsoft.ML.Transforms.ExprTypeKind)">
-            <summary>
-            Convert the given ExprNode to the given type and get its value, when constant.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.GetBestOverload(Microsoft.ML.Transforms.CallNode,System.Collections.Generic.List{Microsoft.ML.Transforms.LambdaBinder.Candidate})">
-            <summary>
-            Multiple applicable candidates; pick the best one. We use a simplification of
-            C#'s rules, only considering the types TX, BL, I4, I8, R4, R8. Basically, parameter
-            type X is better than parameter type Y if X can be converted to Y. The conversions are:
-              I4 => I8, I4 => R4, I4 => R8, I8 => R8, R4 => R8.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaBinder.MapKindToIndex(Microsoft.ML.Transforms.ExprTypeKind)">
-            <summary>
-            Maps numeric type kinds to an index 0,1,2,3. All others map to -1.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LexStartKind">
-            <summary>
-            Indicates which lex routine should be called when this character is the first
-            character of a token. Each character is associated with exactly one of these values.
-            Some associations may at first be surprising. For example, dot (.) uses NumLit and
-            slash (/) uses Comment.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LexCharUtils">
-            <summary>
-            Encapsulates information needed to map characters to tokens.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LexCharUtils.UniCatFlags">
-            <summary>
-            Bit masks of the UnicodeCategory enum. A couple extra values are defined
-            for convenience for the C# lexical grammar.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LexCharUtils.LexCharKind">
-            <summary>
-            Indicates the different roles a character may have (as non-leading character). This is used for
-            subsequent (not first) characters in a token. For example, digits all have the Ident flag set.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LexCharUtils.LexCharInfo">
-            <summary>
-            Information for each character. We have a table of these for all characters less than 0x80.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LexCharUtils.StartKind(System.Char)">
-            <summary>
-            Returns the lexical character type of the given character.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LexCharUtils.GetUniEscape(System.UInt32)">
-            <summary>
-            Convert the given uint to a unicode escape.
-            Note that the uint contains raw hex - not a surrogate pair.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Lexer">
-            <summary>
-            The lexer. This is effectively a template. Call LexSource to get an Enumerable of tokens.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.#ctor(Microsoft.ML.Internal.Utilities.NormStr.Pool,Microsoft.ML.Transforms.KeyWordTable)">
-            <summary>
-            The constructor. Caller must provide the name pool and key word table.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Lexer.LexerImpl.Eof">
-            <summary>
-            Whether we've hit the end of input yet. If this returns true, ChCur will be zero.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Lexer.LexerImpl.ChCur">
-            <summary>
-            The current character. Zero if we've hit the end of input.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.ChNext">
-            <summary>
-            Advance to the next character and return it.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.StartTok">
-            <summary>
-            Marks the beginning of the current token.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.ReportError(Microsoft.ML.Transforms.ErrId)">
-            <summary>
-            Called to embed an error token in the stream.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.GetNextToken">
-            <summary>
-            Form and return the next token. Returns null to signal end of input.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.GetEof">
-            <summary>
-            Call once GetNextToken returns null if you need an Eof token.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexPunc">
-            <summary>
-            Called to lex a punctuator (operator). Asserts the current character lex type
-            is LexCharType.Punc.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexNumLit">
-            <summary>
-            Called to lex a numeric literal or a Dot token. Asserts the current
-            character lex type is LexCharType.NumLit.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexHexInt">
-            <summary>
-            Lex a hex literal optionally followed by an integer suffix. Asserts the current
-            character is a hex digit.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexDecInt(Microsoft.ML.Transforms.IntLitKind)">
-            <summary>
-            Lex a decimal integer literal. The digits must be in _sb.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexRealNum(System.Char)">
-            <summary>
-            Lex a real literal (float, double or decimal). The characters should be in _sb.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexIntSuffix">
-            <summary>
-            Lex an optional integer suffix (U and/or L).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexRealSuffix(System.Boolean)">
-            <summary>
-            Lex an optional real suffix (F, D, M).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexStrLit">
-            <summary>
-            Lex a string or character literal.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.FLexEscChar(System.Boolean,System.UInt32@)">
-            <summary>
-            Lex a character escape. Returns true if successful (ch is valid).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.ConvertToSurrogatePair(System.UInt32,System.Char@,System.Char@)">
-            <summary>
-            Convert the pair of characters to a surrogate pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexIdent">
-            <summary>
-            Lex an identifier.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexComment">
-            <summary>
-            Lex a comment.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexSpace">
-            <summary>
-            Lex a sequence of spacing characters.
-            Always returns null.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexLineTerm(System.Text.StringBuilder)">
-            <summary>
-            Lex a line termination character. Transforms CRLF into a single LF.
-            Updates the line mapping. When this "drops" a character and sb is not
-            null, it adds the character to sb. It does NOT add the returned character
-            to the sb.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.Lexer.LexerImpl.LexError">
-            <summary>
-            Skip over an error character. Always returns null.
-            REVIEW: Should we skip over multiple?
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MethodGenerator">
-            <summary>
-            MethodGenerator is used to build a method by specifying the IL.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MethodGenerator.CreateDelegate(System.Type)">
-            <summary>
-            Create and return a delegate of the given "delegateType" and currying the
-            given "thisObj". Note that "thisObj" may be null and "delegateType" should
-            match the types indicated when the MethodGenerator was created.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MethodGenerator.Dispose">
-            <summary>
-            This is idempotent (calling multiple times has the same affect as calling once).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MethodGenerator.Temporary">
-             <summary>
-             Represents a temporary local. A MethodGenerator maintains a cache of temporary locals.
-             Clients can 'check-out' temporaries from the cache, use them, then release (Dispose) when
-             they are no longer needed so other clients can reuse the temporary to cut down on the number
-             of locals created. Note that Temporary is a struct, but should NOT be copied around. It is
-             critical that a stray copy of a Temporary is not disposed!
-            
-             We have two 'types' of temporaries: 'Regular' and 'Ref'. 'Ref' temporaries are special in that
-             they should be used when you need to use ldloca. Grouping this way should help the JIT optimize
-             local usage.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MethodGenerator.ReleaseLocal(System.Reflection.Emit.LocalBuilder,System.Boolean)">
-            <summary>
-            Called by the Temporary struct's Dispose method, through the _tempDisposer delegate.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ConditionalNode">
-            <summary>
-            Node for the ternary conditional operator.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.WithNode">
-             <summary>
-             The parse node for a "with" expression. The grammar is:
-            
-               WithNode :
-                 with ( WithLocalNode [ , WithLocalNode ]* ; Expr )
-            
-             Note that a with expression with multiple WithLocalNodes gets expanded to multiple
-             nested WithNodes. This makes the code much simpler and easily allows a with-local to
-             reference all previous with-locals.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.WithLocalNode">
-            <summary>
-            The with-expression local assignment node. This contains both the name of the local and the
-            value expression.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.TokenCursor.TokPeek(System.Int32)">
-            <summary>
-            This expects that ItokCur + ditok is either within the buffered token range or just
-            at the end of it. In other words, it does not support skipping tokens.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.SignatureKernelBase">
-            <summary>
-            Signature for a <see cref="T:Microsoft.ML.Transforms.KernelBase"/> constructor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KernelBase">
-            <summary>
-            This class indicates which kernel should be approximated by the <see cref="T:Microsoft.ML.Transforms.ApproximatedKernelTransformer"/>.
-            <seealso cref="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KernelBase.Distance(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            The kernels deriving from this class are shift-invariant, and each of them depends on a different distance between
-            its inputs. The <see cref="T:Microsoft.ML.Transforms.GaussianKernel"/> depends on the L2 distance, and the <see cref="T:Microsoft.ML.Transforms.LaplacianKernel"/> depends
-            on the L1 distance.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KernelBase.GetRandomNumberGenerator(System.Single)">
-            <summary>
-            This method returns an object that can sample from the non-negative measure that is the Fourier transform of this kernel.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.FourierRandomNumberGeneratorBase">
-            <summary>
-            The Fourier transform of a continuous positive definite kernel is a non-negative measure
-            (<a href="https://en.wikipedia.org/wiki/Bochner%27s_theorem">Bochner's theorem</a>). This class
-            samples numbers from the non-negative measure corresponding to the given kernel.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GaussianKernel">
-            <summary>
-            The Gaussian kernel.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            - The Gaussian kernel is defined as $k(x,y) = \exp(-\gamma||x-y||^2)$.
-            ]]></format>
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GaussianKernel.#ctor(System.Single)">
-            <summary>
-            Create a new instance of a GaussianKernel.
-            </summary>
-            <param name="gamma">The coefficient in the exponent of the kernel function. It should be positive.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LaplacianKernel">
-            <summary>
-            The Laplacian kernel.
-            </summary>
-            <remarks>
-            <format type="text/markdown"><![CDATA[
-            - The Laplacian kernel is defined as $k(x,y)=\exp(-a||x-y||)$.
-            ]]></format>
-            </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LaplacianKernel.#ctor(System.Single)">
-            <summary>
-            Create a new instance of a LaplacianKernel.
-            </summary>
-            <param name="a">The coefficient in the exponent of the kernel function.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LpNormNormalizingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator"/> or <see cref="T:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.LpNormNormalizingTransformer.Columns">
-            <summary>
-            The objects describing how the transformation is applied on the input data.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingTransformer"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingTransformer.Mapper.StdDev(System.ReadOnlySpan{System.Single},System.Int32)">
-            <summary>
-            Compute Standard Deviation. In case of both subMean and useStd are true, we technically need to compute variance
-            based on centered values (i.e. after subtracting the mean). But since the centered
-            values mean is approximately zero, we can use variance of non-centered values.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingTransformer.Mapper.StdDev(System.ReadOnlySpan{System.Single},System.Int32,System.Single)">
-            <summary>
-            Compute Standard Deviation.
-            We have two overloads of StdDev instead of one with <see cref="T:System.Nullable`1"/> mean for perf reasons.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingTransformer.Mapper.L2Norm(System.ReadOnlySpan{System.Single},System.Single)">
-            <summary>
-            Compute L2-norm. L2-norm computation doesn't subtract the mean from the source values.
-            However, we substract the mean here in case subMean is true (if subMean is false, mean is zero).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingTransformer.Mapper.L1Norm(System.ReadOnlySpan{System.Single},System.Single)">
-            <summary>
-            Compute L1-norm. L1-norm computation doesn't subtract the mean from the source values.
-            However, we substract the mean here in case subMean is true (if subMean is false, mean is zero).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingTransformer.Mapper.LInfNorm(System.ReadOnlySpan{System.Single},System.Single)">
-            <summary>
-            Compute LInf-norm. LInf-norm computation doesn't subtract the mean from the source values.
-            However, we substract the mean here in case subMean is true (if subMean is false, mean is zero).
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase">
-            <summary>
-            Base estimator class for <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator"/> and <see cref="T:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator"/> normalizers.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction">
-            <summary>
-            The kind of unit norm vectors are rescaled to. This enumeration is serialized.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.L2">
-            <summary>
-            L2-norm.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.StandardDeviation">
-            <summary>
-            Standard deviation of a vector by viewing all its coordinates as a random variable.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.L1">
-            <summary>
-            L1-norm.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.Infinity">
-            <summary>
-            Infinity-norm.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase">
-            <summary>
-            Describes base class for one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase.Name">
-            <summary>
-            Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase.InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase.InputColumnName">
-            <summary>
-            Name of column to transform.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase.Norm">
-            <summary>
-            The norm to use to normalize each sample.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase.EnsureZeroMean">
-            <summary>
-            Subtract mean from each value before normalizing.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase.Scale">
-            <summary>
-            Scale features by this value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.ColumnOptionsBase[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator">
-             <summary>
-             Normalizes (scales) vectors in the input column to the unit norm. The type of norm that is used can be specified by the user.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector of <xref:System.Single> |
-             | Output column data type | Vector of <xref:System.Single> |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.LpNormNormalizingTransformer> normalizes vectors in the input column individually
-             by rescaling them to the unit norm.
-            
-             Let $x$ be the input vector, $n$ the size of the vector, $L(x)$ the norm function selected by the user.
-             Let $\mu(x) = \sum_i x_i / n$ be the mean of the values of vector $x$. The <xref:Microsoft.ML.Transforms.LpNormNormalizingTransformer>
-             performs the following operation on each input vector $x$:
-             $y = \frac{x - \mu(x)}{L(x)}$
-             if the user specifies that the mean should be zero, or otherwise:
-             $y = \frac{x}{L(x)}$
-            
-             There are four types of norm that can be selected by the user to be applied on input vector $x$. They are defined as follows:
-             - <xref:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.L1>: $L_1(x) = \sum_i |x_i|$
-             - <xref:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.L2>: $L_2(x) = \sqrt{\sum_i x_i^2}$
-             - <xref:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.Infinity>: $L_{\infty}(x) = \max_i\{|x_i|\}$
-             - <xref:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction.StandardDeviation>: $L_\sigma(x)$ is defined as the
-             standard deviation of the elements of the input vector $x$
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.NormalizationCatalog.NormalizeLpNorm(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction,System.Boolean)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingEstimator.ColumnOptions.#ctor(System.String,System.String,Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction,System.Boolean)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="norm">Type of norm to use to normalize each sample. The indicated norm of the resulted vector will be normalized to one.</param>
-            <param name="ensureZeroMean">If <see langword="true"/>, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction,System.Boolean)">
-            <!-- No matching elements were found for the following include tag --><include file="doc.xml" path="doc/members/member[@name=&quot;LpNormalize&quot;]/*" />
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
-            <param name="norm">Type of norm to use to normalize each sample. The indicated norm of the resulted vector will be normalized to one.</param>
-            <param name="ensureZeroMean">If <see langword="true" />, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[],Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction,System.Boolean)">
-            <!-- No matching elements were found for the following include tag --><include file="doc.xml" path="doc/members/member[@name=&quot;LpNormalize&quot;]/*" />
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to run the normalization on.</param>
-            <param name="norm">Type of norm to use to normalize each sample. The indicated norm of the resulted vector will be normalized to one.</param>
-            <param name="ensureZeroMean">If <see langword="true" />, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LpNormNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.LpNormNormalizingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator">
-             <summary>
-             Normalizes (scales) vectors in the input column applying the global contrast normalization.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector of <xref:System.Single> |
-             | Output column data type | Vector of <xref:System.Single> |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.LpNormNormalizingTransformer> normalizes vectors in the input column individually,
-             rescaling them by applying global contrast normalization. The transform performs the following operation on each input vector $x$:
-             $y = \frac{s * x - \mu(x)}{L(x)}$.
-             Where $s$ is a user provided scaling factor, $\mu(x)$ is the mean of the elements of vector $x$, and $L(x)$ is the $L_2$ norm or the
-             standard deviation of the elements of vector $x$. These settings can be specified by the user when the
-             <xref:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator> is initialized.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.NormalizationCatalog.NormalizeGlobalContrast(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Boolean,System.Boolean,System.Single)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one Gcn column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.ColumnOptions.#ctor(System.String,System.String,System.Boolean,System.Boolean,System.Single)">
-            <summary>
-            Describes how the transformer handles one Gcn column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="ensureZeroMean">If <see langword="true"/>, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-            <param name="ensureUnitStandardDeviation">If <see langword="true"/>, resulted vector's standard deviation would be one. Otherwise, resulted vector's L2-norm would be one.</param>
-            <param name="scale">Scale features by this value.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Boolean,System.Boolean,System.Single)">
-            <summary>
-        <para>Performs a global contrast normalization on input values:</para>
-        <para>Y = (s * X - M) / D</para> 
-        <para>where s is a scale, M is mean and D is either the L2 norm or standard deviation.</para>
-       </summary><remarks>
-        Scaling inputs to unit norms is a common operation for text classification or clustering.
-        For more information see: 
-        <a href="https://www.cs.stanford.edu/~acoates/papers/coatesleeng_aistats_2011.pdf">An Analysis of Single-Layer Networks in Unsupervised Feature Learning</a>
-      </remarks><seealso cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator" /><example>
-        <code language="csharp">
-          pipeline.Add(new GlobalContrastNormalizer("FeatureCol")
-          { 
-              SubMean= false
-          });
-        </code>
-      </example>
-            <param name="env">The environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
-            <param name="ensureZeroMean">If <see langword="true" />, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-            <param name="ensureUnitStandardDeviation">If <see langword="true" />, resulted vector's standard deviation would be one. Otherwise, resulted vector's L2-norm would be one.</param>
-            <param name="scale">Scale features by this value.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[],System.Boolean,System.Boolean,System.Single)">
-            <summary>
-        <para>Performs a global contrast normalization on input values:</para>
-        <para>Y = (s * X - M) / D</para> 
-        <para>where s is a scale, M is mean and D is either the L2 norm or standard deviation.</para>
-       </summary><remarks>
-        Scaling inputs to unit norms is a common operation for text classification or clustering.
-        For more information see: 
-        <a href="https://www.cs.stanford.edu/~acoates/papers/coatesleeng_aistats_2011.pdf">An Analysis of Single-Layer Networks in Unsupervised Feature Learning</a>
-      </remarks><seealso cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator" /><example>
-        <code language="csharp">
-          pipeline.Add(new GlobalContrastNormalizer("FeatureCol")
-          { 
-              SubMean= false
-          });
-        </code>
-      </example>
-            <param name="env">The environment.</param>
-            <param name="columns">Pairs of columns to run the normalization on.</param>
-            <param name="ensureZeroMean">If <see langword="true" />, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-            <param name="ensureUnitStandardDeviation">If <see langword="true" />, resulted vector's standard deviation would be one. Otherwise, resulted vector's L2-norm would be one.</param>
-            <param name="scale">Scale features by this value.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator"/> that takes multiple pairs of columns.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GroupTransform">
-             <summary>
-             A Trasforms that groups values of a scalar column into a vector, by a contiguous group ID.
-             </summary>
-             <remarks>
-             <p>This transform essentially performs the following SQL-like operation:</p>
-             <p>SELECT GroupKey1, GroupKey2, ... GroupKeyK, LIST(Value1), LIST(Value2), ... LIST(ValueN)
-             FROM Data
-             GROUP BY GroupKey1, GroupKey2, ... GroupKeyK.</p>
-            
-             <p>It assumes that the group keys are contiguous (if a new group key sequence is encountered, the group is over).
-             The GroupKeyN and ValueN columns can be of any primitive types. The code requires that every raw type T of the group key column
-             is an <see cref="T:System.IEquatable`1"/>, which is currently true for all existing primitive types.
-             The produced ValueN columns will be variable-length vectors of the original value column types.</p>
-            
-             <p>The order of ValueN entries in the lists is preserved.</p>
-            
-             <example><code>
-             Example:
-             User Item
-             Pete Book
-             Tom  Table
-             Tom  Kitten
-             Pete Chair
-             Pete Cup
-            
-             Result:
-             User Item
-             Pete [Book]
-             Tom  [Table, Kitten]
-             Pete [Chair, Cup]
-             </code></example>
-             </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GroupTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.GroupTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="groupKey">Columns to group by</param>
-            <param name="columns">Columns to group together</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GroupTransform.GroupBinding">
-             <summary>
-             This class describes the relation between <see cref="T:Microsoft.ML.Transforms.GroupTransform"/>'s input <see cref="T:Microsoft.ML.DataViewSchema"/>,
-             <see cref="F:Microsoft.ML.Transforms.GroupTransform.GroupBinding._inputSchema"/>, and output <see cref="T:Microsoft.ML.DataViewSchema"/>, <see cref="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema"/>.
-            
-             The <see cref="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema"/> contains columns used to group columns and columns being aggregated from input data.
-             In <see cref="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema"/>, group columns are followed by aggregated columns. For example, if column "Age" is used to group "UserId" column,
-             the first column and the second column in <see cref="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema"/> produced by <see cref="T:Microsoft.ML.Transforms.GroupTransform"/> would be "Age" and "UserId," respectively.
-             Note that "Age" is a group column while "UserId" is an aggregated (also call keep) column.
-            
-             For group columns, the schema information is intact. For aggregated columns, the type is Vector of original type and variable length.
-             The only metadata preserved is the KeyNames and IsNormalized. All other columns are dropped. Please see
-             <see cref="M:Microsoft.ML.Transforms.GroupTransform.GroupBinding.BuildOutputSchema(Microsoft.ML.DataViewSchema)"/> how this idea got implemented.
-             </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.GroupTransform.GroupBinding.GroupColumnIndexes">
-            <summary>
-            <see cref="F:Microsoft.ML.Transforms.GroupTransform.GroupBinding.GroupColumnIndexes"/>[i] is the i-th group(-key) column's column index in the source schema.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.GroupTransform.GroupBinding.KeepColumnIndexes">
-            <summary>
-            <see cref="F:Microsoft.ML.Transforms.GroupTransform.GroupBinding.KeepColumnIndexes"/>[i] is the i-th aggregated column's column index in the source schema.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema">
-            <summary>
-            Output <see cref="T:Microsoft.ML.DataViewSchema"/> of <see cref="T:Microsoft.ML.Transforms.GroupTransform"/> when input schema is <see cref="F:Microsoft.ML.Transforms.GroupTransform.GroupBinding._inputSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GroupTransform.GroupBinding.BuildOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Compute the output schema of a <see cref="T:Microsoft.ML.Transforms.GroupTransform"/> given a input schema.
-            </summary>
-            <param name="sourceSchema">Input schema.</param>
-            <returns>The associated output schema produced by <see cref="T:Microsoft.ML.Transforms.GroupTransform"/>.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GroupTransform.GroupBinding.GetColumnIds(Microsoft.ML.DataViewSchema,System.String[],System.Func{System.String,System.Exception})">
-            <summary>
-            Given column names, extract and return column indexes from source schema.
-            </summary>
-            <param name="schema">Source schema</param>
-            <param name="names">Column names</param>
-            <param name="except">Marked exception function</param>
-            <returns>column indexes</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GroupTransform.GroupBinding.CheckColumnInRange(System.Int32)">
-            <summary>
-            Determine if output column index is valid to <see cref="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema"/>. A valid output column index should be greater than or
-            equal 0 and smaller than # of output columns.
-            </summary>
-            <param name="col">Column index of <see cref="P:Microsoft.ML.Transforms.GroupTransform.GroupBinding.OutputSchema"/></param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GroupTransform.Cursor">
-             <summary>
-             This cursor will create two cursors on the input data view:
-             - The leading cursor will activate all the group columns, and will advance until it hits the end of the contiguous group.
-             - The trailing cursor will activate all the requested columns, and will go through the group
-                 (as identified by the leading cursor), and aggregate the keep columns.
-            
-             The getters are as follows:
-             - The group column getters are taken directly from the trailing cursor.
-             - The keep column getters are provided by the aggregators.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GroupTransform.Cursor.GroupKeyColumnChecker">
-            <summary>
-            This class keeps track of the previous group key and tests the current group key against the previous one.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.GroupTransform.Cursor.KeepColumnAggregator">
-            <summary>
-            This class handles the aggregation of one 'keep' column into a vector. It wraps around an <see cref="T:Microsoft.ML.DataViewRow"/>'s
-            column, reads the data and aggregates.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GroupTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.GroupTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.HashJoiningTransform">
-            <summary>
-            This transform hashes its input columns. Each column is hashed separately, and within each
-            column there is an option to specify which slots should be hashed together into one output slot.
-            This transform can be applied either to single valued columns or to known length vector columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ColumnOptions.GetItemType(System.Int32)">
-            <summary>
-            Constructs the correct KeyType for the given hash bits.
-            Because of array size limitation, if numberOfBits = 31, the key type is not contiguous (not transformable into indicator array)
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String,System.Boolean,System.Int32)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.HashJoiningTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="name">Name of the output column.</param>
-            <param name="source">Name of the column to be transformed. If this is null '<paramref name="name"/>' will be used.</param>
-            <param name="join">Whether the values need to be combined for a single hash.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 31, inclusive.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.HashJoiningTransform.Arguments,Microsoft.ML.IDataView)">
-            <summary>
-        Converts multiple column values into hashes. 
-        This transform accepts both numeric and text inputs, both single and vector-valued columns. 
-      </summary><remarks>
-        This transform can be helpful for ranking and cross-validation. In the case of ranking, where the GroupIdColumn column is required,
-        and needs to be of a key type you can use the <see cref="T:Microsoft.ML.Transforms.CategoricalHashOneHotVectorizer" /> to hash the text value of a single GroupID column into a key value.
-        If the GroupID is the combination of the values from multiple columns, you can use the HashConverter to hash multiple text columns into one key column. 
-        Similarly with CrossValidator and the StratificationColumn. 
-      </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ComposeGetterOneToOne``1(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for inputs of type <typeparamref name="TSrc"/>
-            </summary>
-            <typeparam name="TSrc">Input type. Must be a non-vector</typeparam>
-            <param name="input">Row inout</param>
-            <param name="iinfo">Index of the getter</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ComposeGetterVecToVec``1(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for inputs of type <typeparamref name="TSrc"/>, where output type is a vector of hashes
-            </summary>
-            <typeparam name="TSrc">Input type. Must be a vector</typeparam>
-            <param name="input">Row input</param>
-            <param name="iinfo">Index of the getter</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ComposeGetterVecToOne``1(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for inputs of type <typeparamref name="TSrc"/>, where output type is a single hash
-            </summary>
-            <typeparam name="TSrc">Input type. Must be a vector</typeparam>
-            <param name="input">Row input</param>
-            <param name="iinfo">Index of the getter</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ComposeHashDelegate``1">
-            <summary>
-            Generic hash function
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ComposeFloatHashDelegate">
-            <summary>
-            Generate a specialized hash function for floats
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.HashJoiningTransform.ComposeDoubleHashDelegate">
-            <summary>
-            Generate a specialized hash function for doubles
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToBinaryVectorMappingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.KeyToBinaryVectorMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.KeyToBinaryVectorMappingTransformer.Columns">
-            <summary>
-            The names of the output and input column pairs on which the transformation is performed.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToBinaryVectorMappingTransformer.Mapper.MakeGetterOne(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            This is for the scalar case.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToBinaryVectorMappingTransformer.Mapper.MakeGetterInd(Microsoft.ML.DataViewRow,System.Int32,Microsoft.ML.Data.VectorDataViewType)">
-            <summary>
-            This is for the indicator case - vector input and outputs should be concatenated.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.KeyToBinaryVectorMappingEstimator">
-             <summary>
-             Estimator for <see cref="T:Microsoft.ML.Transforms.KeyToBinaryVectorMappingTransformer"/>. Converts key types to their corresponding binary representation of the original value.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | [key](xref:Microsoft.Ml.Data.KeyDataViewType) or a known-size vector of keys. |
-             | Output column data type | A known-size vector of [System.Single](xref:System.Single). |
-             | Exportable to ONNX | No |
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ConversionsCatalog.MapKeyToBinaryVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.KeyToBinaryVectorMappingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LambdaTransform">
-            <summary>
-            Utility class for creating transforms easily.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaTransform.CreateMap``3(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Action{``0,``1,``2},System.Action{``2},Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            This is a 'stateful non-savable' version of the map transform: the mapping function is guaranteed to be invoked once per
-            every row of the data set, in sequence; one user-defined state object will be allocated per cursor and passed to the
-            map function every time. If <typeparamref name="TSrc"/>, <typeparamref name="TDst"/>, or
-            <typeparamref name="TState"/> implement the <see cref="T:System.IDisposable" /> interface, they will be disposed after use.
-            </summary>
-            <typeparam name="TSrc">The type that describes what 'source' columns are consumed from the
-            input <see cref="T:Microsoft.ML.IDataView"/>.</typeparam>
-            <typeparam name="TState">The type of the state object to allocate per cursor.</typeparam>
-            <typeparam name="TDst">The type that describes what new columns are added by this transform.</typeparam>
-            <param name="env">The host environment to use.</param>
-            <param name="source">The input data to apply transformation to.</param>
-            <param name="mapAction">The function that performs the transformation. The function should transform its <typeparamref name="TSrc"/>
-            argument into its <typeparamref name="TDst"/> argument and can utilize the per-cursor <typeparamref name="TState"/> state.</param>
-            <param name="initStateAction">The function that is called once per cursor to initialize state. Can be null.</param>
-            <param name="inputSchemaDefinition">The optional input schema. If <c>null</c>, the schema is
-            inferred from the <typeparamref name="TSrc"/> type.</param>
-            <param name="outputSchemaDefinition">The optional output schema. If <c>null</c>, the schema is
-            inferred from the <typeparamref name="TDst"/> type.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LambdaTransform.CreateFilter``2(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Func{``0,``1,System.Boolean},System.Action{``1},Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            This creates a filter transform that can 'accept' or 'decline' any row of the data based on the contents of the row
-            or state of the cursor.
-            This is a 'stateful non-savable' version of the filter: the filter function is guaranteed to be invoked once per
-            every row of the data set, in sequence (non-parallelizable); one user-defined state object will be allocated per cursor and passed to the
-            filter function every time.
-            If <typeparamref name="TSrc"/> or <typeparamref name="TState"/> implement the <see cref="T:System.IDisposable" /> interface, they will be disposed after use.
-            </summary>
-            <typeparam name="TSrc">The type that describes what 'source' columns are consumed from the
-            input <see cref="T:Microsoft.ML.IDataView"/>.</typeparam>
-            <typeparam name="TState">The type of the state object to allocate per cursor.</typeparam>
-            <param name="env">The host environment to use.</param>
-            <param name="source">The input data to apply transformation to.</param>
-            <param name="filterFunc">The user-defined function that determines whether to keep the row or discard it. First parameter
-            is the current row's contents, the second parameter is the cursor-specific state object.</param>
-            <param name="initStateAction">The function that is called once per cursor to initialize state. Can be null.</param>
-            <param name="inputSchemaDefinition">The optional input schema. If <c>null</c>, the schema is
-            inferred from the <typeparamref name="TSrc"/> type.</param>
-            <returns></returns>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LearnerFeatureSelectionTransform">
-            <summary>
-            Selects the slots for which the absolute value of the corresponding weight in a linear learner
-            is greater than a threshold.
-            Instantiates a DropSlots transform to actually drop the slots.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LearnerFeatureSelectionTransform.Train(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.Transforms.LearnerFeatureSelectionTransform.Options,Microsoft.ML.Data.VBuffer{System.Single}@)">
-            <summary>
-            Returns a score for each slot of the features column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.LoadTransform">
-            <summary>
-            Load specific transforms from the specified model file. Allows one to 'cherry pick' transforms from
-            a serialized chain, or to apply a pre-trained transform to a different (but still compatible) data view.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.LoadTransform.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String[],System.Boolean)">
-            <summary>
-            A helper method to create <see cref="T:Microsoft.ML.Transforms.LoadTransform"/> for public facing API.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="modelFile">Model file to load the transforms from.</param>
-            <param name="tag">The tags (comma-separated) to be loaded (or omitted, if complement is true).</param>
-            <param name="complement">Whether to load all transforms except those marked by tags.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueDroppingTransformer">
-            <member name="NADrop">
-      <summary>
-        Removes missing values from vector type columns.
-      </summary>
-    </member>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.MissingValueDroppingTransformer.Columns">
-            <summary>
-            The names of the input columns of the transformation and the corresponding names for the output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueDroppingTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.MissingValueDroppingTransformer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="columns">The names of the input columns of the transformation and the corresponding names for the output columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueDroppingTransformer.SaveModel(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Saves the transform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueHandlingTransformer">
-            <!-- No matching elements were found for the following include tag --><include file="doc.xml" path="doc/members/member[@name=&quot;NAHandle&quot;]" />
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueHandlingTransformer.ReplacementKind.DefaultValue">
-            <summary>
-            Replace with the default value of the column based on its type. For example, 'zero' for numeric and 'empty' for string/text columns.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueHandlingTransformer.ReplacementKind.Mean">
-            <summary>
-            Replace with the mean value of the column. Supports only numeric/time span/ DateTime columns.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueHandlingTransformer.ReplacementKind.Minimum">
-            <summary>
-            Replace with the minimum value of the column. Supports only numeric/time span/ DateTime columns.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueHandlingTransformer.ReplacementKind.Maximum">
-            <summary>
-            Replace with the maximum value of the column. Supports only numeric/time span/ DateTime columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueHandlingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String,Microsoft.ML.Transforms.MissingValueHandlingTransformer.ReplacementKind)">
-            <summary>
-            A helper method to create <see cref="T:Microsoft.ML.Transforms.MissingValueHandlingTransformer"/> for public facing API.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="outputColumnName">Name of the output column.</param>
-            <param name="inputColumnName">Name of the column to be transformed. If this is null '<paramref name="outputColumnName"/>' will be used.</param>
-            <param name="replaceWith">The replacement method to utilize.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueHandlingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.MissingValueHandlingTransformer.Options,Microsoft.ML.IDataView)">
-            Factory method for SignatureDataTransform.
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.MissingValueIndicatorTransform.Arguments,Microsoft.ML.IDataView)">
-            <summary>
-            Public constructor corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueIndicatorTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Columns">
-            <summary>
-            The names of the output and input column pairs for the transformation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorTransformer"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="columns">The names of the input columns of the transformation and the corresponding names for the output columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.SaveModel(Microsoft.ML.ModelSaveContext)">
-            <summary>
-            Saves the transform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Mapper.GetIsNADelegate(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Returns the isNA predicate for the respective type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Mapper.ComposeGetterOne(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for single valued inputs.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Mapper.ComposeGetterVec(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for vector valued inputs.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Mapper.FindNAs``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.InPredicate{``0},System.Boolean,System.Collections.Generic.List{System.Int32},System.Boolean@)">
-            <summary>
-            Adds all NAs (or non-NAs) to the indices List.  Whether NAs or non-NAs have been added is indicated by the bool sense.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorTransformer.Mapper.FillValues(System.Int32,Microsoft.ML.Data.VBuffer{System.Boolean}@,System.Collections.Generic.List{System.Int32},System.Boolean)">
-            <summary>
-             Fills indicator values for vectors.  The indices is a list that either holds all of the NAs or all
-             of the non-NAs, indicated by sense being true or false respectively.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Vector or scalar value of <xref:System.Single> or <xref:System.Double> |
-             | Output column data type | If input column was scalar then <xref:System.Boolean> otherwise vector of <xref:System.Boolean>. |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.MissingValueIndicatorTransformer> creates a new column, named as specified in the output column name parameters, and
-             fills it with vector of bools where `true` in the i-th position in array indicates the i-th element in input column has missing value and `false` otherwise.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String)" />
-             <seealso cref="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])" />
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="columns">The names of the input columns of the transformation and the corresponding names for the output columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String)">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator"/>
-            </summary>
-            <param name="env">The environment to use.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueIndicatorEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.GetReplacementValues(Microsoft.ML.IDataView,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions[],System.Object[]@,System.Collections.BitArray[]@,Microsoft.ML.Data.DataViewType[]@)">
-            <summary>
-            Fill the repValues array with the correct replacement values based on the user-given replacement kinds.
-            Vectors default to by-slot imputation unless otherwise specified, except for unknown sized vectors
-            which force across-slot imputation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.GetIsNADelegate(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Returns the isNA predicate for the respective type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.GetSpecifiedValue(System.String,Microsoft.ML.Data.DataViewType,System.Delegate)">
-            <summary>
-            Converts a string to its respective value in the corresponding type.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Mapper.ComposeGetterOne(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for single valued inputs.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Mapper.ComposeGetterOne``1(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-             Replaces NA values for scalars.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Mapper.ComposeGetterVec(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-            Getter generator for vector valued inputs.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Mapper.ComposeGetterVec``1(Microsoft.ML.DataViewRow,System.Int32)">
-            <summary>
-             Replaces NA values for vectors.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Mapper.FillValues``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.InPredicate{``0},``0,System.Boolean)">
-            <summary>
-             Fills values for vectors where there is one replacement value.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Mapper.FillValues``1(Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.VBuffer{``0}@,Microsoft.ML.Data.InPredicate{``0},``0[],System.Collections.BitArray)">
-            <summary>
-             Fills values for vectors where there is slot-wise replacement values.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer.StatAggregator">
-            <summary>
-            The base class for stat aggregators for imputing mean, min, and max for the NAReplaceTransform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer.StatAggregator`2">
-            <summary>
-            The base class for stat aggregators with knowledge of types.
-            </summary>
-            <typeparam name="TValue">The type for the column being aggregated.</typeparam>
-            <typeparam name="TStat">The type of the stat being computed by the stat aggregator.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.MissingValueReplacingTransformer.StatAggregator`2.RowCount">
-            <summary>
-            Returns the number of times that ProcessRow has been called.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.MissingValueReplacingTransformer.StatAggregatorAcrossSlots`2.ValueCount">
-            <summary>
-            Returns the number of values that have been processed so far.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.MissingValueReplacingTransformer.MinMaxAggregatorAcrossSlots`2.ValuesProcessed">
-            <summary>
-            Returns the number of times that ProcessValue has been called.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer.ModeStat`1">
-            <summary>
-            A mutable struct for keeping the appropriate statistics for mode calculations, whose scope is restricted
-            and only exists as an instance in a field or an array, utilizing the mutation of the struct correctly.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer.MeanStatDouble">
-            <summary>
-            This is a mutable struct (so is evil). However, its scope is restricted
-            and the only instances are in a field or an array, so the mutation does
-            the right thing.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer.MeanStatInt">
-            <summary>
-            A mutable struct for keeping the appropriate statistics for mean calculations for IX types, TS, and DT,
-            whose scope is restricted and only exists as an instance in a field or an array, utilizing the mutation
-            of the struct correctly.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator">
-             <summary>
-             <see cref="T:Microsoft.ML.IEstimator`1"/> for the <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer"/>.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector or scalar of <xref:System.Single> or <xref:System.Double> |
-             | Output column data type | The same as the data type in the input column |
-             | Exportable to ONNX | Yes |
-            
-             The resulting <xref:Microsoft.ML.Transforms.MissingValueReplacingTransformer"/> creates a new column, named as specified in the output column name parameters, and
-             copies the data from the input column to this new column with exception what missing values in data would be replaced according to chosen strategy.
-            
-             Check the See Also section for links of usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
-             <seealso cref="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)" />
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode">
-            <summary>
-            The possible ways to replace missing values.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode.DefaultValue">
-            <summary>
-            Replace with the default value of the column based on its type.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode.Mean">
-            <summary>
-            Replace with the mean value of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode.Minimum">
-            <summary>
-            Replace with the minimum value of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode.Maximum">
-            <summary>
-            Replace with the maximum value of the column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode.Mode">
-            <summary>
-            Replace with the most frequent value of the column.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.Name">
-            <summary> Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.InputColumnName"/>.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.InputColumnName">
-            <summary> Name of column to transform. </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.ImputeBySlot">
-            <summary>
-            If true, per-slot imputation of replacement is performed.
-            Otherwise, replacement value is imputed for the entire vector column. This setting is ignored for scalars and variable vectors,
-            where imputation is always for the entire column.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.Replacement">
-            <summary> How to replace the missing values.</summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.ReplacementString">
-            <summary> Replacement value for missing values (only used in entrypoing and command line API).</summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.#ctor(System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="replacementMode">How to replace the missing values.</param>
-            <param name="imputeBySlot">If true, per-slot imputation of replacement is performed.
-            Otherwise, replacement value is imputed for the entire vector column. This setting is ignored for scalars and variable vectors,
-            where imputation is always for the entire column.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions.#ctor(System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean,System.String)">
-            <summary>
-            This constructor is used internally to convert from <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer.Options"/> to <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions"/>
-            as we support <paramref name="replacementString"/> in command line and entrypoint API only.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MissingValueReplacingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator">
-             <summary>
-             Selects the top k slots across all specified columns ordered by their mutual information with the label column
-             (what you can learn about the label by observing the value of the specified column).
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector or scalar of numeric, [text](xref:Microsoft.ML.Data.TextDataViewType) or [key](xref:Microsoft.ML.Data.KeyDataViewType) data types|
-             | Output column data type | Same as the input column|
-             | Exportable to ONNX | Yes |
-            
-             Formally, the mutual information can be written as:
-            
-             $\text{MI}(X,Y) = E_{x,y}[\log(P(x,y)) - \log(P(x)) - \log(P(y))]$ where $x$ and $y$ are observations of random variables $X$ and $Y$.
-            
-             where the expectation E is taken over the joint distribution of X and Y.
-             Here P(x, y) is the joint probability density function of X and Y, P(x) and P(y) are the marginal probability density functions of X and Y respectively.
-             In general, a higher mutual information between the dependent variable(or label) and an independent variable(or feature) means
-             that the label has higher mutual dependence over that feature.
-             It keeps the top slots in output features with the largest mutual information with the label.
-            
-             For example, for the following Features and Label column, if we specify that we want the top 2 slots(vector elements) that have the higher correlation
-             with the label column, the output of applying this Estimator would keep the first and the third slots only, because their values
-             are more correlated with the values in the Label column.
-            
-             | Label |  Features |
-             | -- | -- |
-             |True |4,6,0 |
-             |False|0,7,5 |
-             |True |4,7,0 |
-             |False|0,7,0 |
-            
-             This is how the dataset above would look, after fitting the estimator, and transforming the data with the resulting transformer:
-            
-             | Label |  Features |
-             | -- | -- |
-             |True |4,0 |
-             |False|0,5 |
-             |True |4,0 |
-             |False|0,5 |
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.String,System.Int32,System.Int32)"/>
-             <seealso cref="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.Int32,System.Int32,System.ValueTuple{System.String,System.String}[])">
-            <summary>
-        Selects the top k slots across all specified columns ordered by their mutual information with the label column.
-      </summary><remarks>
-        <para>
-          The mutual information of two random variables X and Y is a measure of the mutual dependence between the variables.
-          Formally, the mutual information can be written as:
-        </para>
-        <para>I(X;Y) = E[log(p(x,y)) - log(p(x)) - log(p(y))]</para>
-        <para>where the expectation is taken over the joint distribution of X and Y. 
-        Here p(x,y) is the joint probability density function of X and Y, p(x) and p(y) are the marginal probability density functions of X and Y respectively. 
-        In general, a higher mutual information between the dependent variable (or label) and an independent variable (or feature) means 
-        that the label has higher mutual dependence over that feature.
-        It keeps the top SlotsInOutput features with the largest mutual information with the label.
-        </para>
-      </remarks>
-            <param name="env">The environment to use.</param>
-            <param name="labelColumnName">Name of the column to use for labels.</param>
-            <param name="slotsInOutput">The maximum number of slots to preserve in the output. The number of slots to preserve is taken across all input columns.</param>
-            <param name="numberOfBins">Max number of bins used to approximate mutual information between each input column and the label column. Power of 2 recommended.</param>
-            <param name="columns">Specifies the names of the input columns for the transformation, and their respective output column names.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[MutualInformationFeatureSelectingEstimator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/FeatureSelectionTransform.cs?range=1-4,10-121)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.String,System.Int32,System.Int32)">
-            <summary>
-        Selects the top k slots across all specified columns ordered by their mutual information with the label column.
-      </summary><remarks>
-        <para>
-          The mutual information of two random variables X and Y is a measure of the mutual dependence between the variables.
-          Formally, the mutual information can be written as:
-        </para>
-        <para>I(X;Y) = E[log(p(x,y)) - log(p(x)) - log(p(y))]</para>
-        <para>where the expectation is taken over the joint distribution of X and Y. 
-        Here p(x,y) is the joint probability density function of X and Y, p(x) and p(y) are the marginal probability density functions of X and Y respectively. 
-        In general, a higher mutual information between the dependent variable (or label) and an independent variable (or feature) means 
-        that the label has higher mutual dependence over that feature.
-        It keeps the top SlotsInOutput features with the largest mutual information with the label.
-        </para>
-      </remarks>
-            <param name="env">The environment to use.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName" />.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null" />, the value of the <paramref name="outputColumnName" /> will be used as source.</param>
-            <param name="labelColumnName">Name of the column to use for labels.</param>
-            <param name="slotsInOutput">The maximum number of slots to preserve in the output. The number of slots to preserve is taken across all input columns.</param>
-            <param name="numBins">Max number of bins used to approximate mutual information between each input column and the label column. Power of 2 recommended.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[MutualInformationFeatureSelectingEstimator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/FeatureSelectionTransform.cs?range=1-4,10-121)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.ITransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.Options,Microsoft.ML.IDataView)">
-            <summary>
-            Create method corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator.ComputeThreshold(System.Single[][],System.Int32,System.Int32@)">
-            <summary>
-            Computes the threshold for the scores such that the top k slots are preserved.
-            If there are less than k scores greater than zero, the threshold is set to zero and
-            the tiedScoresToKeep is set to zero, so that we only keep scores strictly greater than zero.
-            </summary>
-            <param name="scores">The score for each column and each slot.</param>
-            <param name="topk">How many slots to preserve.</param>
-            <param name="tiedScoresToKeep">If there are ties, how many of them to keep.</param>
-            <returns>The threshold.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.TrainCore(Microsoft.ML.Runtime.IHost,Microsoft.ML.IDataView,System.String,System.String[],System.Int32,System.Int32[])">
-            <summary>
-            Returns the feature selection scores for each slot of each column.
-            </summary>
-            <param name="host">The host.</param>
-            <param name="input">The input dataview.</param>
-            <param name="labelColumnName">The label column.</param>
-            <param name="columns">The columns for which to compute the feature selection scores.</param>
-            <param name="numBins">The number of bins to use for numeric features.</param>
-            <param name="colSizes">The columns' sizes before dropping any slots.</param>
-            <returns>A list of scores for each column and each slot.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.ComputeMutualInformation(Microsoft.ML.Data.Transposer,System.Int32)">
-            <summary>
-            Computes the mutual information for one column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.ComputeMutualInformation``1(Microsoft.ML.Data.Transposer,System.Int32,Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.Mapper{``0})">
-            <summary>
-            Computes the mutual information for one column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.ComputeMutualInformation(Microsoft.ML.Data.VBuffer{System.Int32}@,System.Int32,System.Int32)">
-            <summary>
-            Computes the mutual information for one slot.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.FillTable(Microsoft.ML.Data.VBuffer{System.Int32}@,System.Int32,System.Int32)">
-            <summary>
-            Fills the contingency table.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.BinKeys``1(Microsoft.ML.Data.DataViewType)">
-            <summary>
-            Maps from keys to ints.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.BinInts(Microsoft.ML.Data.VBuffer{System.Int32}@,Microsoft.ML.Data.VBuffer{System.Int32}@,System.Int32,System.Int32@,System.Int32@)">
-            <summary>
-            Maps Ints.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.BinSingles(Microsoft.ML.Data.VBuffer{System.Single}@,Microsoft.ML.Data.VBuffer{System.Int32}@,System.Int32,System.Int32@,System.Int32@)">
-            <summary>
-            Maps from Singles to ints. NaNs (and only NaNs) are mapped to the first bin.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.Impl.BinDoubles(Microsoft.ML.Data.VBuffer{System.Double}@,Microsoft.ML.Data.VBuffer{System.Int32}@,System.Int32,System.Int32@,System.Int32@)">
-            <summary>
-            Maps from Doubles to ints. NaNs (and only NaNs) are mapped to the first bin.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.MutualInformationFeatureSelectionUtils.CreateVectorMapper``2(Microsoft.ML.Data.ValueMapper{``0,``1})">
-            <summary>
-            Given a mapper from T to int, creates a mapper from VBuffer{T} to VBuffer&lt;int&gt;.
-            Assumes that the mapper maps default(TSrc) to default(TDst) so that the returned mapper preserves sparsity.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.NAHandling">
-            <summary>
-            Entry point methods for NA handling.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotEncodingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.OneHotEncodingEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotEncodingEstimator">
-             <summary>
-             Converts one or more input columns of categorical values into as many output columns of one-hot encoded vectors.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Vector or scalar of numeric, boolean, [text](xref:Microsoft.ML.Data.TextDataViewType), <xref:System.DateTime> or [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Scalar or vector of [key](xref:Microsoft.ML.Data.KeyDataViewType), or vector of <xref:System.Single> type. |
-             | Exportable to ONNX | Yes |
-            
-             The <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator> builds a dictionary of unique values appearing in the input column.
-             The resulting <xref:Microsoft.ML.Transforms.OneHotEncodingTransformer> converts one or more input columns into as many output
-             columns of one-hot encoded vectors.
-            
-             The <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator> is often used to convert categorical data into a form that can be
-             provided to a machine learning algorithm.
-            
-             The output of this transform is specified by <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind>:
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator> produces an [indicator vector](https://en.wikipedia.org/wiki/Indicator_vector).
-             Each slot in this vector corresponds to a category in the dictionary, so its length is the size of the built dictionary.
-             If a value is not found in the dictioray, the output is the zero vector.
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag> produces one vector such that each slot stores the number
-             of occurances of the corresponding value in the input vector.
-             Each slot in this vector corresponds to a value in the dictionary, so its length is the size of the built dictionary.
-             <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator> and <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag>
-             differ simply in how the bit-vectors generated from individual slots in the input column are aggregated:
-             for Indicator they are concatenated and for Bag they are added. When the source column is a Scalar, the Indicator and Bag options are identical.
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key> produces keys in a <xref:Microsoft.ML.Data.KeyDataViewType> column.
-             If the input column is a vector, the output contains a vectory [key](xref:Microsoft.ML.Data.KeyDataViewType) type, where each slot of the
-             vector corresponds to the respective slot of the input vector.
-             If a category is not found in the bulit dictionary, it is assigned the value zero.
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary> produces a binary encoded vector to represent the values found in the dictionary
-             that are present in the input column. If a value in the input column is not found in the dictionary, the output is the zero vector.
-            
-             The OneHotEncodingTransformer can be applied to one or more columns, in which case it builds and uses a separate dictionary
-             for each column that it is applied to.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)"/>
-             <seealso cref="M:Microsoft.ML.CategoricalCatalog.OneHotEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality,Microsoft.ML.IDataView)"/>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag">
-            <summary>
-            Output is a bag (multi-set) vector
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator">
-            <summary>
-            Output is an indicator vector
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key">
-            <summary>
-            Output is a key value
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary">
-            <summary>
-            Output is binary encoded
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotEncodingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotEncodingEstimator.ColumnOptions.#ctor(System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="outputKind">Output kind: Bag (multi-set vector), Ind (indicator vector), Key (index), or Binary encoded indicator vector.</param>
-            <param name="maximumNumberOfKeys">Maximum number of terms to keep per column when auto-training.</param>
-            <param name="keyOrdinality">How items should be ordered when vectorized. If <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByOccurrence"/> choosen they will be in the order encountered.
-            If <see cref="F:Microsoft.ML.Transforms.ValueToKeyMappingEstimator.KeyOrdinality.ByValue"/>, items are sorted according to their default comparison, for example, text sorting will be case sensitive (for example, 'A' then 'Z' then 'a').</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotEncodingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind)">
-            Initializes an instance of the <see cref="T:Microsoft.ML.Transforms.OneHotEncodingEstimator"/>.
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="outputKind">The type of output expected.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotEncodingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotEncodingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.OneHotEncodingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotHashEncodingTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting a <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotHashEncodingTransformer.Options">
-            <summary>
-            This class is a merger of <see cref="T:Microsoft.ML.Transforms.HashingTransformer.Options"/> and <see cref="T:Microsoft.ML.Transforms.KeyToVectorMappingTransformer.Options"/>
-            with join option removed
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingTransformer.Create(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind)">
-            <summary>
-            A helper method to create <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingTransformer"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="name">Name of the output column.</param>
-            <param name="source">Name of the column to be transformed. If this is null '<paramref name="name"/>' will be used.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="outputKind">The type of output expected.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingTransformer.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Schema propagation for transformers. Returns the output schema of the data, if
-            the input schema is like the one provided.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingTransformer.Transform(Microsoft.ML.IDataView)">
-            <summary>
-            Take the data in, make transformations, output the data. Note that <see cref="T:Microsoft.ML.IDataView"/>
-            are lazy, so no actual transformations happen here, just schema validation.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.OneHotHashEncodingTransformer.Microsoft#ML#ITransformer#IsRowToRowMapper">
-            <summary>
-            Whether a call to <see cref="M:Microsoft.ML.ITransformer.GetRowToRowMapper(Microsoft.ML.DataViewSchema)"/> should succeed, on an appropriate schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingTransformer.Microsoft#ML#ITransformer#GetRowToRowMapper(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Constructs a row-to-row mapper based on an input schema.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotHashEncodingEstimator">
-             <summary>
-             Converts one or more input columns of categorical values into as many output columns of hash-based one-hot encoded vectors.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Scalar or vector of numeric, boolean, [text](xref:Microsoft.ML.Data.TextDataViewType), or [key](xref:Microsoft.ML.Data.KeyDataViewType) type. |
-             | Output column data type | Scalar or vector of [key](xref:Microsoft.ML.Data.KeyDataViewType), or vector of <xref:System.Single> type. |
-             | Exportable to ONNX | No |
-            
-             The resulting <xref:Microsoft.ML.Transforms.OneHotEncodingTransformer> converts one or more input columns into as many output
-             columns of one-hot encoded vectors, where indexing is done by hashing the value and using the hash as an index.
-            
-             The <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator> is often used to convert categorical data into a form that can be
-             provided to a machine learning algorithm.
-            
-             The output of this transform is specified by <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind>:
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator> produces an [indicator vector](https://en.wikipedia.org/wiki/Indicator_vector).
-             Each slot in this vector corresponds to a category in the dictionary, so its length is the size of the built dictionary.
-             If a value is not found in the dictionary, the output is the zero vector.
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag> produces one vector such that each slot stores the number
-             of occurrences of the corresponding value in the input vector.
-             Each slot in this vector corresponds to a value in the dictionary, so its length is the size of the built dictionary.
-             <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Indicator> and <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Bag>
-             differ simply in how the bit-vectors generated from individual slots in the input column are aggregated:
-             for Indicator they are concatenated and for Bag they are added. When the source column is a Scalar, the Indicator and Bag options are identical.
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Key> produces keys in a <xref:Microsoft.ML.Data.KeyDataViewType> column.
-             If the input column is a vector, the output contains a vector [key](xref:Microsoft.ML.Data.KeyDataViewType) type, where each slot of the
-             vector corresponds to the respective slot of the input vector.
-             If a category is not found in the built dictionary, it is assigned the value zero.
-            
-             - <xref:Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind.Binary> produces a binary encoded vector to represent the values found in the dictionary
-             that are present in the input column. If a value in the input column is not found in the dictionary, the output is the zero vector.
-            
-             The OneHotEncodingTransformer can be applied to one or more columns, in which case it builds and uses a separate dictionary
-             for each column that it is applied to.
-            
-             Check the See Also section for links to usage examples.
-             ]]>
-             </format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)"/>
-             <seealso cref="M:Microsoft.ML.CategoricalCatalog.OneHotHashEncoding(Microsoft.ML.TransformsCatalog.CategoricalTransforms,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OneHotHashEncodingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingEstimator.ColumnOptions.#ctor(System.String,System.String,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind,System.Int32,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="name"/> will be used as source.</param>
-            <param name="outputKind">Kind of output: bag, indicator vector etc.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 31, inclusive.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each term should be included in the hash.</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Int32,Microsoft.ML.Transforms.OneHotEncodingEstimator.OutputKind)">
-            <summary>
-            Instantiates a new instance of <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingEstimator"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform.
-            If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  metadata for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="outputKind">The type of output expected.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OneHotHashEncodingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.OneHotHashEncodingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.OptionalColumnTransform">
-            <summary>
-        Creates a new column with the specified type and default values.
-      </summary><remarks>
-        If the user wish to create additional columns with a particular type and default values, or replicated the values from one column to another, changing their type, they can do so using this transform.
-        This transform can be used as a workaround to create a Label column after deserializing a model, for prediction.
-        Some transforms in the serialized model operate on the Label column, and would throw errors during prediction if such a column is not found.
-      </remarks>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OptionalColumnTransform.Bindings.GetDependencies(System.Collections.Generic.IEnumerable{Microsoft.ML.DataViewSchema.Column})">
-            <summary>
-            Given a set of columns, return the input columns that are needed to generate those output columns.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OptionalColumnTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.String[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.OptionalColumnTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="columns">Columns to transform.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OptionalColumnTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.OptionalColumnTransform.Arguments,Microsoft.ML.IDataView)">
-            <summary>
-            Public constructor corresponding to SignatureDataTransform.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OptionalColumnTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.OptionalColumnTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PermutationFeatureImportance`3.PermuterState">
-            <summary>
-            This is used as a hack to force Lambda Transform behave sequentially.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PermutationFeatureImportance`3.FeaturesBuffer">
-            <summary>
-            Helper structure used for features permutation in Lambda Transform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PermutationFeatureImportance`3.FeatureIndex">
-            <summary>
-            Helper class for report's Lambda transform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.PermutationFeatureImportance`3.FeatureName">
-            <summary>
-             One more helper class for report's Lambda transform.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ProduceIdTransform">
-             <summary>
-             Produces a column with the cursor's ID as a column. This can be useful for diagnostic purposes.
-            
-             This class will obviously generate different data given different IDs. So, if you save data to
-             some other file, then apply this transform to that dataview, it may of course have a different
-             result. This is distinct from most transforms that produce results based on data alone.
-             </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ProduceIdTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ProduceIdTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.Properties.Resources">
-            <summary>
-              A strongly-typed resource class, for looking up localized strings, etc.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.ResourceManager">
-            <summary>
-              Returns the cached ResourceManager instance used by this class.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Culture">
-            <summary>
-              Overrides the current thread's CurrentUICulture property for all
-              resource lookups using this strongly typed resource class.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Arabic">
-             <summary>
-               Looks up a localized string similar to ب
-            ب
-            بعد
-            حتى
-            حين
-            دون
-            صباح
-            في
-            قبل
-            لكن
-            مساء
-            مع
-            من
-            نحو
-            واكد
-            وفي
-            ومن
-            اطار
-            و
-            اثر
-            اجل
-            احد
-            اذا
-            اكثر
-            اكد
-            التي
-            الثاني
-            الثانية
-            الذاتي
-            الذي
-            الذين
-            السابق
-            الف
-            الماضي
-            المقبل
-            الوقت
-            اليوم
-            امس
-            انه
-            باسم
-            بان
-            برس
-            بسبب
-            بشكل
-            بعض
-            بن
-            به
-            بها
-            بين
-            تم
-            ثلاثة
-            ثم
-            جميع
-            حاليا
-            حوالى
-            حول
-            حيث
-            خلال
-            ذلك
-            زيارة
-            سنة
-            سنوات
-            شخصا
-            صفر
-            ضد
-            ضمن
-            عام
-            عاما
-            عدة
-            عدد
-            عدم
-            عشر
-            عشرة
-            على
-            عليه
-            عليها
-            عن
-            عند
-            عندما
-            غدا
-            غير
-            فان
-            فيه
-            فيها
-            قال
-            قد
-            قوة
-            كان
-            كانت
-            كل
-            كلم
-            كما
-            لا
-            لدى
-            لقا [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Czech">
-             <summary>
-               Looks up a localized string similar to bude
-            budeš
-            byl
-            byla
-            byli
-            bylo
-            je
-            jsem
-            jsme
-            jsou
-            jste
-            aby
-            aj
-            ale
-            ani
-            asi
-            až
-            bez
-            bude-li
-            budeme
-            budeme-li
-            budete
-            budete-li
-            budeš-li
-            budou
-            budou-li
-            budu
-            budu-li
-            buď
-            buďme
-            buďte
-            by
-            byl-li
-            byla-li
-            bylas
-            byli-li
-            bylo-li
-            bylos
-            byls
-            byly
-            byly-li
-            byt
-            byv
-            byvše
-            byvši
-            být
-            býti
-            co
-            což
-            cz
-            další
-            design
-            dnes
-            do
-            email
-            ho
-            jak
-            jako
-            je-li
-            jeho
-            jej
-            jejich
-            její
-            jen
-            ještě
-            ji
-            jine
-            již
-            jsa
-            jsem-li
-            jsi
-            jsi-li
-            jsme-li
-            jsou-li
-            jsouc
-            jsouce
-            jste-li
-            kam
-            kde
-             [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Danish">
-             <summary>
-               Looks up a localized string similar to af
-            andre
-            at
-            da
-            de
-            deres
-            dette
-            din
-            ej
-            en
-            ene
-            et
-            han
-            hans
-            i
-            ind
-            lille
-            ni
-            ny
-            otte
-            stor
-            store
-            syv
-            alle
-            andet
-            begge
-            den
-            denne
-            der
-            det
-            dig
-            dog
-            du
-            eller
-            end
-            eneste
-            enhver
-            fem
-            fire
-            flere
-            fleste
-            for
-            fordi
-            forrige
-            fra
-            få
-            før
-            god
-            har
-            hendes
-            her
-            hun
-            hvad
-            hvem
-            hver
-            hvilken
-            hvis
-            hvor
-            hvordan
-            hvorfor
-            hvornår
-            ikke
-            ingen
-            intet
-            jeg
-            jeres
-            kan
-            kom
-            kommer
-            lav
-            lidt
-            man
-            mand
-            mange
-            med
-            meget
-            men
-            mens
-            mere
-            mig
-            ned
-            nogen
-            noget
-            nyt
-            nær
-            næste
-            næsten
-             [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Dutch">
-             <summary>
-               Looks up a localized string similar to aan
-            af
-            al
-            als
-            bij
-            dan
-            dat
-            die
-            dit
-            een
-            en
-            er
-            had
-            heb
-            hem
-            het
-            hij
-            hoe
-            hun
-            ik
-            in
-            is
-            je
-            kan
-            me
-            men
-            met
-            mij
-            nog
-            nu
-            of
-            ons
-            ook
-            te
-            tot
-            uit
-            van
-            was
-            wat
-            we
-            wel
-            wij
-            zal
-            ze
-            zei
-            zij
-            zo
-            zou
-            .
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.English">
-             <summary>
-               Looks up a localized string similar to a
-            about
-            above
-            above
-            across
-            after
-            afterwards
-            again
-            against
-            all
-            almost
-            alone
-            along
-            already
-            also
-            although
-            always
-            am
-            among
-            amongst
-            amoungst
-            amount
-            an
-            and
-            another
-            any
-            anyhow
-            anyone
-            anything
-            anyway
-            anywhere
-            are
-            around
-            as
-            at
-            back
-            be
-            became
-            because
-            become
-            becomes
-            becoming
-            been
-            before
-            beforehand
-            behind
-            being
-            below
-            beside
-            besides
-            between
-            beyond
-            both
-            bottom
-            but
-            by
-            call
-            can
-            cannot
-            cant
-            co
-            con
-            could
-            couldnt
-            cry
-            de
-            describe
-            detail
-            do
-            done
-            down
-            due
-            du [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.French">
-             <summary>
-               Looks up a localized string similar to de
-            des
-            d&apos;
-            la
-            du
-            l&apos;
-            et
-            à
-            en
-            sur
-            aux
-            par
-            pour
-            au
-            dans
-            un
-            est
-            été
-            a
-            une
-            sous
-            ou
-            pas
-            entre
-            qui
-            nº
-            lès
-            plus
-            il
-            y
-            que
-            contre
-            je
-            non
-            n&apos;
-            sans
-            vous
-            avec
-            ne
-            ce
-            son
-            ses
-            mon
-            moins
-            se
-            qu&apos;
-            moi
-            j&apos;
-            c&apos;
-            si
-            ma
-            s&apos;
-            être
-            tout
-            comme
-            sa
-            sont
-            ai
-            elle
-            autres
-            pendant
-            chez
-            mais
-            avant
-            nous
-            cette
-            après
-            vers
-            était
-            tous
-            autre
-            tu
-            très
-            même
-            ont
-            anti
-            puis
-            leur
-            où
-            lui
-            ça
-            suis
-            depuis
-            ni
-            mes
-            près
-            hors
-            outre
-            ils
-            votre
-            toi
-            lors
-            t&apos;
-            aussi
-            donc
-            ces
-            toute
-             [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.German">
-             <summary>
-               Looks up a localized string similar to a
-            ab
-            aber
-            aber
-            ach
-            acht
-            achte
-            achten
-            achter
-            achtes
-            ag
-            alle
-            allein
-            allem
-            allen
-            aller
-            allerdings
-            alles
-            allgemeinen
-            als
-            als
-            also
-            am
-            an
-            andere
-            anderen
-            andern
-            anders
-            au
-            auch
-            auch
-            auf
-            aus
-            ausser
-            außer
-            ausserdem
-            außerdem
-            b
-            bald
-            bei
-            beide
-            beiden
-            beim
-            beispiel
-            bekannt
-            bereits
-            besonders
-            besser
-            besten
-            bin
-            bis
-            bisher
-            bist
-            c
-            d
-            da
-            dabei
-            dadurch
-            dafür
-            dagegen
-            daher
-            dahin
-            dahinter
-            damals
-            damit
-            danach
-            daneben
-            dank
-            dann
-            daran
-            darauf
-            daraus
-            darf
-            darfst
-             [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Italian">
-             <summary>
-               Looks up a localized string similar to a
-            adesso
-            ai
-            al
-            alla
-            allo
-            allora
-            altre
-            altri
-            altro
-            anche
-            ancora
-            avere
-            aveva
-            avevano
-            ben
-            buono
-            che
-            chi
-            cinque
-            comprare
-            con
-            consecutivi
-            consecutivo
-            cosa
-            cui
-            da
-            del
-            della
-            dello
-            dentro
-            deve
-            devo
-            di
-            doppio
-            due
-            e
-            ecco
-            fare
-            fine
-            fino
-            fra
-            gente
-            giù
-            ha
-            hai
-            hanno
-            ho
-            il
-            indietro
-            invece
-            io
-            la
-            lavoro
-            le
-            lei
-            lo
-            loro
-            lui
-            lungo
-            ma
-            me
-            meglio
-            molta
-            molti
-            molto
-            nei
-            nella
-            no
-            noi
-            nome
-            nostro
-            nove
-            nuovi
-            nuovo
-            o
-            oltre
-            ora
-            otto
-            peggio
-            pero
-            persone
-            più [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Japanese">
-             <summary>
-               Looks up a localized string similar to これ
-            それ
-            あれ
-            この
-            その
-            あの
-            ここ
-            そこ
-            あそこ
-            こちら
-            どこ
-            だれ
-            なに
-            なん
-            何
-            私
-            貴方
-            貴方方
-            我々
-            私達
-            あの人
-            あのかた
-            彼女
-            彼
-            です
-            あります
-            おります
-            います
-            は
-            が
-            の
-            に
-            を
-            で
-            え
-            から
-            まで
-            より
-            も
-            どの
-            と
-            し
-            それで
-            しかし
-            .
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Norwegian_Bokmal">
-             <summary>
-               Looks up a localized string similar to alle
-            andre
-            arbeid
-            av
-            begge
-            bort
-            bra
-            bruke
-            da
-            denne
-            der
-            deres
-            det
-            din
-            disse
-            du
-            eller
-            en
-            ene
-            eneste
-            enhver
-            enn
-            er
-            et
-            folk
-            for
-            fordi
-            forsøke
-            fra
-            få
-            før
-            først
-            gjorde
-            gjøre
-            god
-            gå
-            ha
-            hadde
-            han
-            hans
-            hennes
-            her
-            hva
-            hvem
-            hver
-            hvilken
-            hvis
-            hvor
-            hvordan
-            hvorfor
-            i
-            ikke
-            inn
-            innen
-            kan
-            kunne
-            lage
-            lang
-            lik
-            like
-            makt
-            mange
-            med
-            meg
-            meget
-            men
-            mens
-            mer
-            mest
-            min
-            mye
-            må
-            måte
-            navn
-            nei
-            ny
-            nå
-            når
-            og
-            også
-            om
-            opp
-            oss
-            over
-            part
-            punkt
-            på
-            rett
-            rikti [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Polish">
-             <summary>
-               Looks up a localized string similar to ach
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-            albo
-            bardzo
-            bez
-            bo
-            być
-            ci
-            ciebie
-            cię
-            co
-            czy
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-            dlatego
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-            dokąd
-            dość
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-            n [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Portuguese">
-             <summary>
-               Looks up a localized string similar to último
-            é
-            acerca
-            agora
-            algumas
-            alguns
-            ali
-            ambos
-            antes
-            apontar
-            aquela
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-            aquele
-            aqueles
-            aqui
-            atrás
-            bem
-            bom
-            cada
-            caminho
-            cima
-            com
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-            comprido
-            conhecido
-            corrente
-            das
-            debaixo
-            dentro
-            desde
-            desligado
-            deve
-            devem
-            deverá
-            direita
-            diz
-            dizer
-            dois
-            dos
-            e
-            ela
-            ele
-            eles
-            em
-            enquanto
-            então
-            está
-            estão
-            estado
-            estar
-            estará
-            este
-            estes
-            esteve
-            estive
-            estivemos
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-            eu
-            fará
-            faz
-            fazer
-            fazia
-            fez
-            fim
-            foi
-            fora
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-            iniciar
-            inicio
-            ir
-            irá
-            isto
-            ligado
-            maio [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Portuguese_Brazilian">
-             <summary>
-               Looks up a localized string similar to último
-            é
-            acerca
-            agora
-            algumas
-            alguns
-            ali
-            ambos
-            antes
-            apontar
-            aquela
-            aquelas
-            aquele
-            aqueles
-            aqui
-            atrás
-            bem
-            bom
-            cada
-            caminho
-            cima
-            com
-            como
-            comprido
-            conhecido
-            corrente
-            das
-            debaixo
-            dentro
-            desde
-            desligado
-            deve
-            devem
-            deverá
-            direita
-            diz
-            dizer
-            dois
-            dos
-            e
-            ela
-            ele
-            eles
-            em
-            enquanto
-            então
-            está
-            estão
-            estado
-            estar
-            estará
-            este
-            estes
-            esteve
-            estive
-            estivemos
-            estiveram
-            eu
-            fará
-            faz
-            fazer
-            fazia
-            fez
-            fim
-            foi
-            fora
-            horas
-            iniciar
-            inicio
-            ir
-            irá
-            isto
-            ligado
-            maio [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Russian">
-             <summary>
-               Looks up a localized string similar to а
-            е
-            и
-            ж
-            м
-            о
-            на
-            не
-            ни
-            об
-            но
-            он
-            мне
-            мои
-            мож
-            она
-            они
-            оно
-            мной
-            много
-            многочисленное
-            многочисленная
-            многочисленные
-            многочисленный
-            мною
-            мой
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-            могут
-            можно
-            может
-            можхо
-            мор
-            моя
-            моё
-            мочь
-            над
-            нее
-            оба
-            нам
-            нем
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-            ними
-            мимо
-            немного
-            одной
-            одного
-            менее
-            однажды
-            однако
-            меня
-            нему
-            меньше
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-            наверху
-            него
-            ниже
-            мало
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-            одиннадцатый
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-            наиболее
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-            наконец
-            никогда
-            ник [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Spanish">
-             <summary>
-               Looks up a localized string similar to ésa
-            ésta
-            éste
-            última
-            últimas
-            último
-            últimos
-            aún
-            a
-            la
-            vez
-            a.m.
-            abierto
-            abunda
-            acaba
-            además
-            ahora
-            al
-            algún
-            alguna
-            alguno
-            alrededor
-            alta
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-            alto
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-            am
-            ambas
-            ambos
-            antes
-            aquél
-            aquélla
-            aquí
-            aquel
-            aquella
-            aquellas
-            aquello
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-            así
-            atardecer
-            aunque
-            básicamente
-            b
-            c
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-            casi
-            celebran
-            centro
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-            cierta
-            ciertas
-            cierto
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-            común
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-            consider [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.Properties.Resources.Swedish">
-             <summary>
-               Looks up a localized string similar to aderton
-            adertonde
-            adjö
-            aldrig
-            alla
-            allas
-            allt
-            alltid
-            alltså
-            än
-            andra
-            andras
-            annan
-            annat
-            ännu
-            artonde
-            arton
-            åtminstone
-            att
-            åtta
-            åttio
-            åttionde
-            åttonde
-            av
-            även
-            båda
-            bådas
-            bakom
-            bara
-            bäst
-            bättre
-            behöva
-            behövas
-            behövde
-            behövt
-            beslut
-            beslutat
-            beslutit
-            bland
-            blev
-            bli
-            blir
-            blivit
-            bort
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-            bra
-            då
-            dag
-            dagar
-            dagarna
-            dagen
-            där
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-            de
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-            dem
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-            deras
-            dess
-            det
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-            dig
-            din
-            dina
-            dit
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-            du
-            efter
-            eftersom
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-            elva
-            en
-            enk [rest of string was truncated]&quot;;.
-             </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ApproximatedKernelTransformer">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator">
-             <summary>
-             Maps vector columns to a low -dimensional feature space.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | Yes |
-             | Input column data type | Known-sized vector of <xref:System.Single> |
-             | Output column data type | Known-sized vector of <xref:System.Single> |
-             | Exportable to ONNX | No |
-            
-             The resulting <xref:Microsoft.ML.Transforms.ApproximatedKernelTransformer> creates a new column, named as specified in
-             the output column name parameters, where each input vector is mapped to a feature space where inner products
-             approximate one of two shift-invariant kernel functions: The Gaussian kernel, or the Laplacian kernel.
-             By mapping features to a space that approximate non-linear kernels, linear methods can be used to approximate
-             more complex kernel SVM models.
-             This mapping is based on the paper [Random Features for Large-Scale Kernel Machines](http://pages.cs.wisc.edu/~brecht/papers/07.rah.rec.nips.pdf)
-             by Rahimi and Recht.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.KernelExpansionCatalog.ApproximatedKernelMap(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Boolean,Microsoft.ML.Transforms.KernelBase,System.Nullable{System.Int32})"/>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions">
-            <summary>
-            Describes how the transformer handles one Gcn column pair.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.Name">
-            <summary>
-            Name of the column resulting from the transformation of <see cref="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.InputColumnName"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.InputColumnName">
-            <summary>
-            Name of the column to transform.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.Generator">
-            <summary>
-            Which fourier generator to use.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.Rank">
-            <summary>
-            The number of random Fourier features to create.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.UseCosAndSinBases">
-            <summary>
-            If <see langword="true"/>, use both of cos and sin basis functions to create two features for every random Fourier frequency.
-            Otherwise, only cos bases would be used.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.Seed">
-            <summary>
-            The seed of the random number generator for generating the new features (if unspecified, the global random is used).
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions.#ctor(System.String,System.Int32,System.Boolean,System.String,Microsoft.ML.Transforms.KernelBase,System.Nullable{System.Int32})">
-            <summary>
-            Describes how the transformer handles one column pair.
-            </summary>
-            <param name="name">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="rank">The number of random Fourier features to create.</param>
-            <param name="useCosAndSinBases">If <see langword="true"/>, use both of cos and sin basis functions to create two features for
-            every random Fourier frequency. Otherwise, only cos bases would be used.</param>
-            <param name="inputColumnName">Name of column to transform. </param>
-            <param name="generator">Which fourier generator to use.</param>
-            <param name="seed">The seed of the random number generator for generating the new features (if unspecified, the global random is used).</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.String,System.String,System.Int32,System.Boolean)">
-            <summary>
-            Convinence constructor for simple one column case.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="rank">The number of random Fourier features to create.</param>
-            <param name="useCosAndSinBases">Create two features for every random Fourier frequency? (one for cos and one for sin).</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.Fit(Microsoft.ML.IDataView)">
-            <summary>
-            Trains and returns a <see cref="T:Microsoft.ML.Transforms.ApproximatedKernelTransformer"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3">
-            <summary>
-            <see cref="T:Microsoft.ML.ITransformer"/> resulting from fitting an <see cref="T:Microsoft.ML.Transforms.StatefulCustomMappingEstimator`3"/>.
-            </summary>
-            <typeparam name="TSrc">The class defining which columns to take from the incoming data.</typeparam>
-            <typeparam name="TDst">The class defining which new columns are added to the data.</typeparam>
-            <typeparam name="TState">The type that describes per-cursor state.</typeparam>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3.Microsoft#ML#ITransformer#IsRowToRowMapper">
-            <summary>
-            Whether a call to <see cref="M:Microsoft.ML.ITransformer.GetRowToRowMapper(Microsoft.ML.DataViewSchema)"/> should succeed, on an
-            appropriate schema.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Action{`0,`1,`2},System.String,System.Action{`2})">
-            <summary>
-            Create a custom mapping of input columns to output columns.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="mapAction">The action by which we map source to destination columns</param>
-            <param name="contractName">The name of the action (will be saved to the model).</param>
-            <param name="stateInitAction">The action to initialize the state object, that is called once before the cursor is initialized.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3.GetOutputSchema(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.DataViewSchema"/> which would be produced by the transformer applied to
-            an input data with schema <paramref name="inputSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3.Transform(Microsoft.ML.IDataView)">
-            <summary>
-            Take the data in, make transformations, output the data.
-            Note that <see cref="T:Microsoft.ML.IDataView"/>'s are lazy, so no actual transformations happen here, just schema validation.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3.Microsoft#ML#ITransformer#GetRowToRowMapper(Microsoft.ML.DataViewSchema)">
-            <summary>
-            Constructs a row-to-row mapper based on an input schema. If <see cref="P:Microsoft.ML.ITransformer.IsRowToRowMapper"/>
-            is <c>false</c>, then an exception is thrown. If the <paramref name="inputSchema"/> is in any way
-            unsuitable for constructing the mapper, an exception is likewise thrown.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.StatefulCustomMappingEstimator`3">
-             <summary>
-             Applies a custom mapping function to the specified input columns, while allowing a per-cursor state. The result will be in output columns.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-            
-             ###  Estimator Characteristics
-             |  |  |
-             | -- | -- |
-             | Does this estimator need to look at the data to train its parameters? | No |
-             | Input column data type | Any |
-             | Output column data type | Any |
-             | Exportable to ONNX | No |
-            
-             The resulting <xref:Microsoft.ML.Transforms.StatefulCustomMappingTransformer`3> applies a user defined mapping
-             to one or more input columns and produces one or more output columns. This transformation doesn't change the number of rows,
-             and can be seen as the result of applying the user's function to every row of the input data.
-            
-             In addition to the input and output objects, the provided custom function is given a state object that it can look at and/or modify.
-            
-             Check the See Also section for links to usage examples.
-             ]]></format>
-             </remarks>
-             <seealso cref="M:Microsoft.ML.CustomMappingCatalog.StatefulCustomMapping``3(Microsoft.ML.TransformsCatalog,System.Action{``0,``1,``2},System.Action{``2},System.String)"/>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingEstimator`3.#ctor(Microsoft.ML.Runtime.IHostEnvironment,System.Action{`0,`1,`2},System.String,System.Action{`2})">
-            <summary>
-            Create a custom mapping of input columns to output columns.
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="mapAction">The mapping action. This must be thread-safe and free from side effects.</param>
-            <param name="contractName">The contract name, used by ML.NET for loading the model. If <c>null</c> is specified, such a trained model would not be save-able.</param>
-            <param name="stateInitAction">The action to initialize the state object, that is called once before the cursor is initialized.</param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulCustomMappingEstimator`3.GetOutputSchema(Microsoft.ML.SchemaShape)">
-            <summary>
-            Returns the <see cref="T:Microsoft.ML.SchemaShape"/> of the schema which will be produced by the transformer.
-            Used for schema propagation and verification in a pipeline.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.StatefulFilterTransform`3">
-            <summary>
-            This transform is similar to <see cref="T:Microsoft.ML.Transforms.CustomMappingTransformer`2"/>, but it allows per-cursor state,
-            as well as the ability to 'accept' or 'filter out' some rows of the supplied <see cref="T:Microsoft.ML.IDataView"/>.
-            The downside is that the provided lambda is eagerly called on every row (not lazily when needed), and
-            parallel cursors are not allowed.
-            </summary>
-            <typeparam name="TSrc">The type that describes what 'source' columns are consumed from the input <see cref="T:Microsoft.ML.IDataView"/>.</typeparam>
-            <typeparam name="TDst">The type that describes what new columns are added by this transform.</typeparam>
-            <typeparam name="TState">The type that describes per-cursor state.</typeparam>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulFilterTransform`3.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,System.Func{`0,`1,`2,System.Boolean},System.Action{`2},Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Create a filter transform
-            </summary>
-            <param name="env">The host environment</param>
-            <param name="source">The dataview upon which we construct the transform</param>
-            <param name="filterFunc">The function by which we transform source to destination columns and decide whether
-            to keep the row.</param>
-            <param name="initStateAction">The function that is called once per cursor to initialize state. Can be null.</param>
-            <param name="inputSchemaDefinition">The schema definition overrides for <typeparamref name="TSrc"/></param>
-            <param name="outputSchemaDefinition">The schema definition overrides for <typeparamref name="TDst"/></param>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulFilterTransform`3.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.Transforms.StatefulFilterTransform{`0,`1,`2},Microsoft.ML.IDataView)">
-            <summary>
-            The 'reapply' constructor.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulFilterTransform`3.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.StatefulFilterTransform`3.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns a value getter delegate to fetch the value of column with the given columnIndex, from the row.
-            This throws if the column is not active in this row, or if the type
-            <typeparamref name="TValue"/> differs from this column's type.
-            </summary>
-            <typeparam name="TValue"> is the column's content type.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.UngroupTransform">
-            <summary>
-        Un-groups vector columns into sequences of rows, inverse of Group transform.
-       </summary><remarks>
-        <para>This can be thought of as an inverse of the <see cref="T:Microsoft.ML.Transforms.CombinerByContiguousGroupId" />.  
-        For all specified vector columns ("pivot" columns), performs the "ungroup" (or "unroll") operation as outlined below.
-        </para>
-        <para>If the only pivot column is called P, and has size K, then for every row of the input we will produce 
-         K rows, that are identical in all columns except P. The column P will become a scalar column, and this 
-         column will hold all the original values of input's P, one value per row, in order. The order of columns 
-         will remain the same.
-        </para>
-        <para>Variable-length pivot columns are supported (including zero, which will eliminate the row from the result).</para>
-        <para>Multiple pivot columns are also supported:</para>
-        <list type="bullet">
-          <item><description>A number of output rows is controlled by the 'mode' parameter. 
-            <list type="bullet">
-              <item><term>outer</term><description> it is equal to the maximum length of pivot columns</description></item>
-              <item><term>inner</term><description> it is equal to the minimum length of pivot columns</description></item>
-              <item><term>first</term><description> it is equal to the length of the first pivot column</description></item>
-            </list>
-            </description>
-          </item>
-          <item><description>
-              If a particular pivot column has size that is different than the number of output rows, the extra slots will
-              be ignored, and the missing slots will be 'padded' with default values.
-            </description></item>
-        </list>
-        <para>All metadata are preserved for the retained columns. For 'unrolled' columns, all known metadata
-        except slot names are preserved.
-        </para>
-      </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Transforms.UngroupTransform.UngroupMode">
-            <summary>
-            Controls the number of output rows produced by the <see cref="T:Microsoft.ML.Transforms.UngroupTransform"/> transform
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.UngroupMode.Inner">
-            <summary>
-            The number of output rows is equal to the minimum length of pivot columns
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.UngroupMode.Outer">
-            <summary>
-            The number of output rows is equal to the maximum length of pivot columns
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.UngroupMode.First">
-            <summary>
-            The number of output rows is equal to the length of the first pivot column.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.UngroupTransform.#ctor(Microsoft.ML.Runtime.IHostEnvironment,Microsoft.ML.IDataView,Microsoft.ML.Transforms.UngroupTransform.UngroupMode,System.String[])">
-            <summary>
-            Initializes a new instance of <see cref="T:Microsoft.ML.Transforms.UngroupTransform"/>.
-            </summary>
-            <param name="env">Host Environment.</param>
-            <param name="input">Input <see cref="T:Microsoft.ML.IDataView"/>. This is the output from previous transform or loader.</param>
-            <param name="mode">Specifies how to unroll multiple pivot columns of different size.</param>
-            <param name="columns">Columns to unroll, or 'pivot'</param>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._infos">
-            <summary>
-            Information of columns to be ungrouped in <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._inputSchema"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._pivotIndex">
-            <summary>
-            <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._pivotIndex"/>[i] is -1 means that the i-th column in both of <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._inputSchema"/> and <see cref="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.OutputSchema"/>
-            are not produced by ungrouping; we just copy the i-th input column to the i-th output column.
-            If <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._pivotIndex"/>[i] is not -1, the i-th output column should be produced by ungrouping the i-th input column.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.InputColumnCount">
-            <summary>
-            Columns contained in <see cref="T:Microsoft.ML.IDataView"/> passed in <see cref="T:Microsoft.ML.Transforms.UngroupTransform"/>.
-            Note that input data's schema is stored as <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._inputSchema"/>.
-            </summary>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.Mode">
-            <summary>
-            This attribute specifies how <see cref="T:Microsoft.ML.Transforms.UngroupTransform"/> expanding input columns stored in <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._infos"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.OutputSchema">
-            <summary>
-            Output data's <see cref="T:Microsoft.ML.DataViewSchema"/> produced by this <see cref="T:Microsoft.ML.Transforms.UngroupTransform"/>
-            when input data's schema is <see cref="F:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding._inputSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.GetActiveInput(System.Func{System.Int32,System.Boolean})">
-            <summary>
-            Return an array of active input columns given the target predicate.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.IsPivot(System.Int32)">
-            <summary>
-            Determine if an output column is produced by a pivot column from input.
-            </summary>
-            <param name="col">Column index in <see cref="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.OutputSchema"/></param>
-            <returns>True if the specified column is produced by expanding a pivot column and false otherwise.</returns>
-        </member>
-        <member name="F:Microsoft.ML.Transforms.UngroupTransform.Cursor._active">
-            <summary>
-            Total number of input columns is <see cref="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.InputColumnCount"/> of <see cref="F:Microsoft.ML.Transforms.UngroupTransform.Cursor._ungroupBinding"/>.
-            Note that the number of input columns equals to the number of output columns; that is, <see cref="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.InputColumnCount"/>
-            is identical to the number of columns in <see cref="P:Microsoft.ML.Transforms.UngroupTransform.UngroupBinding.OutputSchema"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.UngroupTransform.Cursor.MakeSizeGetter``1(System.Int32)">
-            <summary>
-            Create a getter which returns the length of a vector (aka a column's value) in the input data.
-            </summary>
-            <typeparam name="T">The type of the considered input vector</typeparam>
-            <param name="col">Column index, which should point to a vector-typed column in the input data.</param>
-            <returns>Getter of the length to the considered input vector.</returns>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.UngroupTransform.Cursor.IsColumnActive(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns whether the given column is active in this row.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Transforms.UngroupTransform.Cursor.GetGetter``1(Microsoft.ML.DataViewSchema.Column)">
-            <summary>
-            Returns the getter of an output column.
-            </summary>
-            <typeparam name="TValue"> is the output column's content type, for example, <see cref="T:Microsoft.ML.Data.VBuffer`1"/>.</typeparam>
-            <param name="column"> is the output column whose getter should be returned.</param>
-        </member>
-        <member name="T:Microsoft.ML.ConversionsCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of
-            key to binary vector mapping transformer components
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsCatalog.MapKeyToBinaryVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-             Convert the key types back to binary vector.
-            </summary>
-            <param name="catalog">The categorical transform's catalog.</param>
-            <param name="columns">Specifies the output and input columns on which the transformation should be applied.</param>
-        </member>
-        <member name="M:Microsoft.ML.ConversionsCatalog.MapKeyToBinaryVector(Microsoft.ML.TransformsCatalog.ConversionTransforms,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.KeyToBinaryVectorMappingEstimator"/>, which converts key types to their corresponding binary representation of the original value.
-            </summary>
-            <param name="catalog">The categorical transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            The data type is a known-size vector of <see cref="T:System.Single"/> representing the input value.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            The data type is a key or a known-size vector of keys.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MapKeyToVector](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Conversion/MapKeyToBinaryVector.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.CustomMappingCatalog">
-            <summary>
-            Class containing an extension method for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of
-            user-defined one-to-one row mapping transformer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.CustomMappingCatalog.CustomMapping``2(Microsoft.ML.TransformsCatalog,System.Action{``0,``1},System.String,Microsoft.ML.Data.SchemaDefinition,Microsoft.ML.Data.SchemaDefinition)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.CustomMappingEstimator`2"/>, which applies a custom mapping of input columns to output columns.
-            </summary>
-            <typeparam name="TSrc">The class defining which columns to take from the incoming data.</typeparam>
-            <typeparam name="TDst">The class defining which new columns are added to the data.</typeparam>
-            <param name="catalog">The transform catalog</param>
-            <param name="mapAction">The mapping action. This must be thread-safe and free from side effects.
-            If the resulting transformer needs to be save-able, the class defining <paramref name="mapAction"/> should implement
-            <see cref="T:Microsoft.ML.Transforms.CustomMappingFactory`2"/> and needs to be decorated with
-            <see cref="T:Microsoft.ML.Transforms.CustomMappingFactoryAttributeAttribute"/> with the provided <paramref name="contractName"/>.
-            In versions v1.5-preview2 and earlier, the assembly containing the class should be registered in the environment where it is loaded back
-            using <see cref="M:Microsoft.ML.Runtime.ComponentCatalog.RegisterAssembly(System.Reflection.Assembly,System.Boolean)"/>.</param>
-            <param name="contractName">The contract name, used by ML.NET for loading the model.
-            If <see langword="null"/> is specified, resulting transformer would not be save-able.</param>
-            <param name="inputSchemaDefinition">Additional parameters for schema mapping between <typeparamref name="TSrc"/> and input data.
-            Useful when dealing with annotations.</param>
-            <param name="outputSchemaDefinition">Additional parameters for schema mapping between <typeparamref name="TDst"/> and output data.
-            Useful when dealing with annotations.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[CustomMapping](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CustomMapping.cs)]
-             [!code-csharp[CustomMapping](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CustomMappingSaveAndLoad.cs)]
-             [!code-csharp[CustomMapping](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/CustomMappingWithInMemoryCustomType.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.CustomMappingCatalog.StatefulCustomMapping``3(Microsoft.ML.TransformsCatalog,System.Action{``0,``1,``2},System.Action{``2},System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.StatefulCustomMappingEstimator`3"/>, which applies a custom mapping of input columns to output columns,
-            while allowing a per-cursor state.
-            </summary>
-            <typeparam name="TSrc">The class defining which columns to take from the incoming data.</typeparam>
-            <typeparam name="TState">The type that describes per-cursor state.</typeparam>
-            <typeparam name="TDst">The class defining which new columns are added to the data.</typeparam>
-            <param name="catalog">The transform catalog.</param>
-            <param name="mapAction">The mapping action. In addition to the input and output objects, the action is given a state object that it can look at and/or modify.
-            If the resulting transformer needs to be save-able, the class defining <paramref name="mapAction"/> should implement
-            <see cref="T:Microsoft.ML.Transforms.StatefulCustomMappingFactory`3"/> and needs to be decorated with
-            <see cref="T:Microsoft.ML.Transforms.CustomMappingFactoryAttributeAttribute"/> with the provided <paramref name="contractName"/>.
-            The assembly containing the class should be registered in the environment where it is loaded back
-            using <see cref="M:Microsoft.ML.Runtime.ComponentCatalog.RegisterAssembly(System.Reflection.Assembly,System.Boolean)"/>.</param>
-            <param name="stateInitAction">The action to initialize the state object, that is called once before the cursor is initialized.</param>
-            <param name="contractName">The contract name, used by ML.NET for loading the model.
-            If <see langword="null"/> is specified, resulting transformer would not be save-able.</param>
-        </member>
-        <member name="M:Microsoft.ML.CustomMappingCatalog.FilterByCustomPredicate``1(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.Func{``0,System.Boolean})">
-            <summary>
-            Drop rows where a specified predicate returns true.
-            </summary>
-            <typeparam name="TSrc">The class defining which columns to take from the incoming data.</typeparam>
-            <param name="catalog">The data operations catalog.</param>
-            <param name="input">The input data.</param>
-            <param name="filterPredicate">A predicate, that takes an input of type <typeparamref name="TSrc"/> and returns true if the row should be filtered (dropped) and false otherwise.</param>
-        </member>
-        <member name="M:Microsoft.ML.CustomMappingCatalog.FilterByStatefulCustomPredicate``2(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.Func{``0,``1,System.Boolean},System.Action{``1})">
-            <summary>
-            Drop rows where a specified predicate returns true. This filter allows to maintain a per-cursor state.
-            </summary>
-            <typeparam name="TSrc">The class defining which columns to take from the incoming data.</typeparam>
-            <typeparam name="TState">The type that describes per-cursor state.</typeparam>
-            <param name="catalog">The data operations catalog.</param>
-            <param name="input">The input data.</param>
-            <param name="filterPredicate">A predicate, that takes an input of type <typeparamref name="TSrc"/> and a state object of type
-            <typeparamref name="TState"/>, and returns true if the row should be filtered (dropped) and false otherwise.</param>
-            <param name="stateInitAction">The action to initialize the state object, that is called once before the cursor is initialized.</param>
-        </member>
-        <member name="M:Microsoft.ML.ExpressionCatalog.Expression(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String[])">
-            <summary>
-            Creates an <see cref="T:Microsoft.ML.Transforms.ExpressionEstimator"/>.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.TransformsCatalog"/>.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.
-            This column's data type will be the same as that of the input column.</param>
-            <param name="expression">The expression to apply to <paramref name="inputColumnNames"/> to create the column <paramref name="outputColumnName"/>.</param>
-            <param name="inputColumnNames">The names of the input columns.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[Expression](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Expression.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.ExtensionsCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of
-            missing value transformer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator"/>, which scans the data from the column specified in <paramref name="inputColumnName"/>
-            and fills new column specified in <paramref name="outputColumnName"/> with vector of bools where i-th bool has value of <see langword="true"/>
-            if i-th element in column data has missing value and <see langword="false"/> otherwise.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Boolean"/>.</param>
-            <param name="inputColumnName">Name of the column to copy the data from.
-            This estimator operates over scalar or vector of <see cref="T:System.Single"/> or <see cref="T:System.Double"/>.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MissingValueIndicator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/IndicateMissingValues.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ExtensionsCatalog.IndicateMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.MissingValueIndicatorEstimator"/>, which copies the data from the column specified in <see cref="P:Microsoft.ML.InputOutputColumnPair.InputColumnName" />
-            to a new column: <see cref="P:Microsoft.ML.InputOutputColumnPair.OutputColumnName" />.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">The pairs of input and output columns. This estimator operates over data which is either scalar or vector of <see cref="T:System.Single"/> or <see cref="T:System.Double"/>.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MissingValueIndicator](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/IndicateMissingValuesMultiColumn.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator"/>, which copies the data from the column specified in <paramref name="inputColumnName"/>
-            to a new column: <paramref name="outputColumnName"/> and replaces missing values in it according to <paramref name="replacementMode"/>.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be the same as that of the input column.</param>
-            <param name="inputColumnName">Name of the column to copy the data from.
-            This estimator operates over scalar or vector of <see cref="T:System.Single"/> or <see cref="T:System.Double"/>.</param>
-            <param name="replacementMode">The type of replacement to use as specified in <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode"/></param>
-            <param name="imputeBySlot">If true, per-slot imputation of replacement is performed.
-            Otherwise, replacement value is imputed for the entire vector column. This setting is ignored for scalars and variable vectors,
-            where imputation is always for the entire column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MissingValuesReplace](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/ReplaceMissingValues.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.ColumnCopyingEstimator"/>, which copies the data from the column specified in <see cref="P:Microsoft.ML.InputOutputColumnPair.InputColumnName" />
-            to a new column: <see cref="P:Microsoft.ML.InputOutputColumnPair.OutputColumnName" /> and replaces missing values in it according to <paramref name="replacementMode"/>.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">The pairs of input and output columns. This estimator operates over scalar or vector of floats or doubles.</param>
-            <param name="replacementMode">The type of replacement to use as specified in <see cref="T:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode"/></param>
-            <param name="imputeBySlot">If <see langword="true"/>, per-slot imputation of replacement is performed.
-            Otherwise, replacement value is imputed for the entire vector column. This setting is ignored for scalars and variable vectors,
-            where imputation is always for the entire column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-             [!code-csharp[MissingValuesReplace](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/ReplaceMissingValuesMultiColumn.cs)]
-            ]]></format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.ExtensionsCatalog.ReplaceMissingValues(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.MissingValueReplacingEstimator.ColumnOptions[])">
-            <summary>
-            Creates a new output column, identical to the input column for everything but the missing values.
-            The missing values of the input column, in this new column are replaced with <see cref="F:Microsoft.ML.Transforms.MissingValueReplacingEstimator.ReplacementMode.DefaultValue"/>.
-            </summary>
-            <param name="catalog">The transform extensions' catalog.</param>
-            <param name="columns">The name of the columns to use, and per-column transformation configuraiton.</param>
-        </member>
-        <member name="T:Microsoft.ML.FeatureSelectionCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of feature
-            selection transformer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.String,System.Int32,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator"/>, which selects the top k slots across all specified columns ordered by their mutual information with the label column.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.</param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="slotsInOutput">The maximum number of slots to preserve in the output. The number of slots to preserve is taken across all input columns.</param>
-            <param name="numberOfBins">Max number of bins used to approximate mutual information between each input column and the label column. Power of 2 recommended.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SelectFeaturesBasedOnMutualInformation](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/FeatureSelection/SelectFeaturesBasedOnMutualInformation.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnMutualInformation(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.String,System.Int32,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.MutualInformationFeatureSelectingEstimator"/>, which selects the top k slots across all specified columns ordered by their mutual information with the label column.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">Specifies the names of the input columns for the transformation, and their respective output column names.</param>
-            <param name="labelColumnName">The name of the label column.</param>
-            <param name="slotsInOutput">The maximum number of slots to preserve in the output. The number of slots to preserve is taken across all input columns.</param>
-            <param name="numberOfBins">Max number of bins used to approximate mutual information between each input column and the label column. Power of 2 recommended.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SelectFeaturesBasedOnMutualInformation](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/FeatureSelection/SelectFeaturesBasedOnMutualInformationMultiColumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.Transforms.CountFeatureSelectingEstimator.ColumnOptions[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.CountFeatureSelectingEstimator"/>, which selects the slots for which the count of non-default values is greater than or equal to a threshold.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">Describes the parameters of the feature selection process for each column pair.</param>
-        </member>
-        <member name="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,System.String,System.String,System.Int64)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.CountFeatureSelectingEstimator"/>, which selects the slots for which the count of non-default values is greater than or equal to a threshold.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be the same as the input column's data type.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over vector or scalar of numeric, text or keys data types.</param>
-            <param name="count">If the count of non-default values for a slot is greater than or equal to this threshold in the training data, the slot is preserved.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SelectFeaturesBasedOnCount](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/FeatureSelection/SelectFeaturesBasedOnCount.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.FeatureSelectionCatalog.SelectFeaturesBasedOnCount(Microsoft.ML.TransformsCatalog.FeatureSelectionTransforms,Microsoft.ML.InputOutputColumnPair[],System.Int64)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.CountFeatureSelectingEstimator"/>, which selects the slots for which the count of non-default values is greater than or equal to a threshold.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">Specifies the names of the columns on which to apply the transformation.
-            This estimator operates over vector or scalar of numeric, text or keys data types.
-            The output columns' data types will be the same as the input columns' data types.</param>
-            <param name="count">If the count of non-default values for a slot is greater than or equal to this threshold in the training data, the slot is preserved.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[SelectFeaturesBasedOnCount](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/FeatureSelection/SelectFeaturesBasedOnCountMultiColumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="T:Microsoft.ML.KernelExpansionCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of kernel method
-            feature engineering transformer components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.KernelExpansionCatalog.ApproximatedKernelMap(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int32,System.Boolean,Microsoft.ML.Transforms.KernelBase,System.Nullable{System.Int32})">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator"/> that maps input vectors to a low dimensional
-            feature space where inner products approximate a shift-invariant kernel function.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-             The data type on this column will be a known-sized vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of column to transform. If set to <see langword="null"/>,
-            the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates on known-sized vector of <see cref="T:System.Single"/> data type.</param>
-            <param name="rank">The dimension of the feature space to map the input to.</param>
-            <param name="useCosAndSinBases">If <see langword="true"/>, use both of cos and sin basis functions to create
-            two features for every random Fourier frequency. Otherwise, only cos bases would be used. Note that if set
-            to <see langword="true"/>, the dimension of the output feature space will be 2*<paramref name="rank"/>.</param>
-            <param name="generator">The argument that indicates which kernel to use. The two available implementations
-            are <see cref="T:Microsoft.ML.Transforms.GaussianKernel"/> and <see cref="T:Microsoft.ML.Transforms.LaplacianKernel"/>.</param>
-            <param name="seed">The seed of the random number generator for generating the new features (if unspecified, the global random is used).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[ApproximatedKernelMap](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/ApproximatedKernelMap.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.KernelExpansionCatalog.ApproximatedKernelMap(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator.ColumnOptions[])">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Transforms.ApproximatedKernelMappingEstimator"/> that maps input vectors to a low dimensional
-            feature space where inner products approximate a shift-invariant kernel function.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns">The input columns to use for the transformation.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.MetricStatistics">
-            <summary>
-            The MetricsStatistics class computes summary statistics over multiple observations of a metric.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MetricStatistics.Mean">
-            <summary>
-            Get the mean value for the metric.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MetricStatistics.StandardDeviation">
-            <summary>
-            Get the standard deviation for the metric.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MetricStatistics.StandardError">
-            <summary>
-            Get the standard error of the mean for the metric.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MetricStatistics.Count">
-            <summary>
-            Get the count for the number of samples used. Useful for interpreting
-            the standard deviation and the standard error and building confidence intervals.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MetricStatistics.Add(System.Double)">
-            <summary>
-            Add another metric to the set of observations.
-            </summary>
-            <param name="metric">The metric being accumulated</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.IMetricsStatistics`1">
-            <summary>
-            This interface handles the accumulation of summary statistics over multiple observations of
-            evaluation metrics.
-            </summary>
-            <typeparam name="T">The metric results type, such as <see cref="T:Microsoft.ML.Data.RegressionMetrics"/>.</typeparam>
-        </member>
-        <member name="T:Microsoft.ML.Data.RegressionMetricsStatistics">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.RegressionMetricsStatistics"/> class holds summary
-            statistics over multiple observations of <see cref="T:Microsoft.ML.Data.RegressionMetrics"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetricsStatistics.MeanAbsoluteError">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RegressionMetrics.MeanAbsoluteError"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetricsStatistics.MeanSquaredError">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RegressionMetrics.MeanSquaredError"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetricsStatistics.RootMeanSquaredError">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RegressionMetrics.RootMeanSquaredError"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetricsStatistics.LossFunction">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RegressionMetrics.LossFunction"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RegressionMetricsStatistics.RSquared">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RegressionMetrics.RSquared"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RegressionMetricsStatistics.Microsoft#ML#Data#IMetricsStatistics{Microsoft#ML#Data#RegressionMetrics}#Add(Microsoft.ML.Data.RegressionMetrics)">
-            <summary>
-            Add a set of evaluation metrics to the set of observations.
-            </summary>
-            <param name="metrics">The observed regression evaluation metric</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.BinaryClassificationMetricsStatistics">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.BinaryClassificationMetricsStatistics"/> class holds summary
-            statistics over multiple observations of <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.AreaUnderRocCurve">
-            <summary>
-            Summary Statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderRocCurve"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.Accuracy">
-            <summary>
-            Summary Statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.Accuracy"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.PositivePrecision">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.PositivePrecision"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.PositiveRecall">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.PositiveRecall"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.NegativePrecision">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.NegativePrecision"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.NegativeRecall">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.NegativeRecall"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.F1Score">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.F1Score"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.AreaUnderPrecisionRecallCurve">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.BinaryClassificationMetrics.AreaUnderPrecisionRecallCurve"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.BinaryClassificationMetricsStatistics.Microsoft#ML#Data#IMetricsStatistics{Microsoft#ML#Data#BinaryClassificationMetrics}#Add(Microsoft.ML.Data.BinaryClassificationMetrics)">
-            <summary>
-            Add a set of evaluation metrics to the set of observations.
-            </summary>
-            <param name="metrics">The observed binary classification evaluation metric</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics"/> class holds summary
-            statistics over multiple observations of <see cref="T:Microsoft.ML.Data.MulticlassClassificationMetrics"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.MacroAccuracy">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MacroAccuracy"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.MicroAccuracy">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.MicroAccuracy"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.LogLoss">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.LogLoss"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.LogLossReduction">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.LogLossReduction"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.TopKAccuracy">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.TopKAccuracy"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.PerClassLogLoss">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.MulticlassClassificationMetrics.PerClassLogLoss"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.MulticlassClassificationMetricsStatistics.Microsoft#ML#Data#IMetricsStatistics{Microsoft#ML#Data#MulticlassClassificationMetrics}#Add(Microsoft.ML.Data.MulticlassClassificationMetrics)">
-            <summary>
-            Add a set of evaluation metrics to the set of observations.
-            </summary>
-            <param name="metrics">The observed binary classification evaluation metric</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.RankingMetricsStatistics">
-            <summary>
-            The <see cref="T:Microsoft.ML.Data.RankingMetricsStatistics"/> class holds summary
-            statistics over multiple observations of <see cref="T:Microsoft.ML.Data.RankingMetrics"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RankingMetricsStatistics.DiscountedCumulativeGains">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RankingMetrics.DiscountedCumulativeGains"/>.
-            </summary>
-        </member>
-        <member name="P:Microsoft.ML.Data.RankingMetricsStatistics.NormalizedDiscountedCumulativeGains">
-            <summary>
-            Summary statistics for <see cref="P:Microsoft.ML.Data.RankingMetrics.NormalizedDiscountedCumulativeGains"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.RankingMetricsStatistics.Microsoft#ML#Data#IMetricsStatistics{Microsoft#ML#Data#RankingMetrics}#Add(Microsoft.ML.Data.RankingMetrics)">
-            <summary>
-            Add a set of evaluation metrics to the set of observations.
-            </summary>
-            <param name="metrics">The observed regression evaluation metric</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader">
-             <summary>
-             This attempts to reads data in a format close to the SVM-light format, the goal being
-             that the majority of SVM-light formatted data should be interpretable by this loader.
-             </summary>
-             <remarks>
-             <format type="text/markdown"><![CDATA[
-             The loader may also be different than SVM-light's parsing behavior, in the following
-             general ways:
-            
-             1. As an <xref:Microsoft.ML.IDataView>, vectors are required to have a logical length,
-                and for practical reasons it's helpful if the output of this loader has a fixed
-                length vector type, since few estimators and no basic trainer estimators accept features
-                of a variable length vector types. SVM-light had no such concept.
-             2. The <xref:Microsoft.ML.IDataView> idiom has different behavior w.r.t. parse errors.
-             3. The SVM-light has some restrictions in its format that are unnatural to attempt
-                to restrict in the concept of this loader.
-             4. Some common "extensions" of this format that have happened over the years are
-                accommodated where sensible, often supported by specifying some options.
-            
-             The SVM-light format can be summarized here. An SVM-light file can lead with any number
-             of lines starting with '#'. These are discarded.
-             {label} {key}:{value} {key}:{value} ... {key}:{value}[#{comment}]
-            
-             Lines are not whitespace trimmed, though whitespace within the line, prior to the #
-             comment character (if any) are ignored. SVM-light itself uses the standard C "isspace"
-             function, while we respect only space and tab as whitespace. So, the spaces in the
-             line above could be, say, tabs, and there could even be multiple of them in sequence.
-             Unlike the text loader's format, for instance, there is no concept of a "blank" field
-             having any status.
-            
-             The feature vector is specified through a series of key/value pairs. SVM-light
-             requires that the keys be positive, increasing integers, except for three special keys:
-             cost (we interpret as Weight), qid (we interpret as GroupId) and sid (we ignore these,
-             but might present them as a column in the future if any of our learners implement anything
-             resembling slack id). The value for 'cost' is float, 'qid' is a long, and 'sid' is a long
-             that must be positive. If these keys are specified multiple times, the last one wins.
-            
-             SVM-light, if the tail of the value is not interpretable as a number, will ignore the tail.
-             E.g., "5:3.14hello" will be interpreted the same as "5:3.14". This loader does not support
-             this syntax.
-            
-             We do not retain the restriction on keys needing to be increasing values in our loader,
-             due to the way we compose our feature vectors, but it will be most efficient if this policy
-             is still followed. If it is followed a sort will not be required.
-            
-             This loader has the special option to read raw text for the keys and convert to feature
-             indices, retaining the text key values as feature names for the resulting feature vector.
-             The intent of this is to allow string keys, a common variant of the format, but one
-             emphatically not allowed by the original format.
-             ]]></format>
-             </remarks>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader.Input">
-            <summary>
-            This class is used as input for the <see cref="T:Microsoft.ML.Transforms.CustomMappingTransformer`2"/> mapping the input as a line of text.
-            It is used by two custom mappers: one that maps the text to a float value indicating whether the line of text is a comment
-            and the other maps the text to an object of type <see cref="T:Microsoft.ML.Data.SvmLightLoader.IntermediateInput"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader.InputMapper">
-            <summary>
-            This class contains the mapper that maps an <see cref="T:Microsoft.ML.Data.SvmLightLoader.Input"/> to an <see cref="T:Microsoft.ML.Data.SvmLightLoader.IntermediateInput"/>.
-            The mapper parses the label and weight into floats, the group ID into ulong, the comment into a <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/>,
-            the feature values into a vector of floats and the feature indices/names into a vector of <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader.Indices">
-            <summary>
-            This class is used for mapping the vector of <see cref="T:System.ReadOnlyMemory`1"/> of <see cref="T:System.Char"/> field in an <see cref="T:Microsoft.ML.Data.SvmLightLoader.IntermediateInput"/> object
-            to a numeric vector of indices. This class is used in case the indices in the input file are numeric. For the case where the input file contains
-            feature names, instead of a <see cref="T:Microsoft.ML.Transforms.CustomMappingTransformer`2"/>, we use a <see cref="T:Microsoft.ML.Transforms.ValueToKeyMappingTransformer"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader.IntermediateOut">
-            <summary>
-            This class is used by the <see cref="T:Microsoft.ML.Transforms.CustomMappingTransformer`2"/>
-            that maps a vector of indices and a vector of values into a single <see cref="T:Microsoft.ML.Data.VBuffer`1"/> of values.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader.OutputMapper">
-            <summary>
-            This class contains the mapper that maps an an <see cref="T:Microsoft.ML.Data.SvmLightLoader.IntermediateOut"/>
-            to an <see cref="T:Microsoft.ML.Data.SvmLightLoader.Output"/>.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightLoader.TextDataView">
-            <summary>
-            This class creates an <see cref="T:Microsoft.ML.IDataView"/> from an <see cref="T:Microsoft.ML.Data.IMultiStreamSource"/>, that has a single text column
-            called "Text".
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.Data.SvmLightLoaderSaverCatalog.CreateSvmLightLoader(Microsoft.ML.DataOperationsCatalog,System.Nullable{System.Int64},System.Int32,System.Boolean,Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Creates a loader that loads SVM-light format files. <see cref="T:Microsoft.ML.Data.SvmLightLoader"/>.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="inputSize">The number of features in the Features column. If 0 is specified, the
-            loader will determine it by looking at the file sample given in <paramref name="dataSample"/>.</param>
-            <param name="numberOfRows">The number of rows from the sample to be used for determining the number of features.</param>
-            <param name="zeroBased">If the file contains zero-based indices, this parameter should be set to true. If they are one-based
-            it should be set to false.</param>
-            <param name="dataSample">A data sample to be used for determining the number of features in the Features column.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[LoadingSvmLight](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/DataOperations/LoadingSvmLight.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.Data.SvmLightLoaderSaverCatalog.CreateSvmLightLoaderWithFeatureNames(Microsoft.ML.DataOperationsCatalog,System.Nullable{System.Int64},Microsoft.ML.Data.IMultiStreamSource)">
-            <summary>
-            Creates a loader that loads SVM-light like files, where features are specified by their names.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="numberOfRows">The number of rows from the sample to be used for determining the set of feature names.</param>
-            <param name="dataSample">A data sample to be used for determining the set of features names.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SvmLightLoaderSaverCatalog.LoadFromSvmLightFile(Microsoft.ML.DataOperationsCatalog,System.String,System.Nullable{System.Int64},System.Int32,System.Boolean)">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a text file using <see cref="T:Microsoft.ML.Data.SvmLightLoader"/>.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="path">The path to the file.</param>
-            <param name="inputSize">The number of features in the Features column. If 0 is specified, the
-            loader will determine it by looking at the file given in <paramref name="path"/>.</param>
-            <param name="zeroBased">If the file contains zero-based indices, this parameter should be set to true. If they are one-based
-            it should be set to false.</param>
-            <param name="numberOfRows">The number of rows from the sample to be used for determining the number of features.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SvmLightLoaderSaverCatalog.LoadFromSvmLightFileWithFeatureNames(Microsoft.ML.DataOperationsCatalog,System.String,System.Nullable{System.Int64})">
-            <summary>
-            Load a <see cref="T:Microsoft.ML.IDataView"/> from a text file containing features specified by feature names,
-            using <see cref="T:Microsoft.ML.Data.SvmLightLoader"/>.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="path">The path to the file.</param>
-            <param name="numberOfRows">The number of rows from the sample to be used for determining the set of feature names.</param>
-        </member>
-        <member name="M:Microsoft.ML.Data.SvmLightLoaderSaverCatalog.SaveInSvmLightFormat(Microsoft.ML.DataOperationsCatalog,Microsoft.ML.IDataView,System.IO.Stream,System.Boolean,System.Boolean,System.String,System.String,System.String,System.String)">
-            <summary>
-            Save the <see cref="T:Microsoft.ML.IDataView"/> in SVM-light format. Four columns can be saved: a label and a features column,
-            and optionally a group ID column and an example weight column.
-            </summary>
-            <param name="catalog">The <see cref="T:Microsoft.ML.DataOperationsCatalog"/> catalog.</param>
-            <param name="data">The data view to save.</param>
-            <param name="stream">The stream to write to.</param>
-            <param name="zeroBasedIndexing">Whether to index the features starting at 0 or at 1.</param>
-            <param name="binaryLabel">If set to true, saves 1 for positive labels, -1 for non-positive labels and 0 for NaN.
-            Otherwise, saves the value of the label in the data view.</param>
-            <param name="labelColumnName">The name of the column to be saved as the label column.</param>
-            <param name="featureColumnName">The name of the column to be saved as the features column.</param>
-            <param name="rowGroupColumnName">The name of the column to be saved as the group ID column. If null, a group ID column
-            will not be saved.</param>
-            <param name="exampleWeightColumnName">The name of the column to be saved as the weight column. If null, a weight column
-            will not be saved.</param>
-        </member>
-        <member name="T:Microsoft.ML.Data.SvmLightSaver">
-            <summary>
-            The SVM-light saver is a saver class that is capable of saving the label,
-            features, group ID and weight columns of a dataset in SVM-light format. It is a bit
-            idiosyncratic in that unlike <see cref="T:Microsoft.ML.Data.IO.TextSaver"/> and <see cref="T:Microsoft.ML.Data.IO.BinarySaver"/>, there is no
-            attempt to save all columns, just those specific columns, with other columns being dropped on
-            the floor.
-            </summary>
-        </member>
-        <member name="T:Microsoft.ML.Data.NgramIdFinder">
-            <summary>
-            This delegate represents a function that gets an n-gram as input, and outputs the id of
-            the n-gram and whether or not to continue processing n-grams.
-            </summary>
-            <param name="ngram">The array containing the n-gram</param>
-            <param name="lim">The n-gram is stored in ngram[0],...ngram[lim-1].</param>
-            <param name="icol">The index of the column the transform is applied to.</param>
-            <param name="more">True if processing should continue, false if it should stop.
-            It is true on input, so only needs to be set to false.</param>
-            <returns>The n-gram slot if it was found, -1 otherwise.</returns>
-        </member>
-        <member name="T:Microsoft.ML.NormalizationCatalog">
-            <summary>
-            Collection of extension methods for <see cref="T:Microsoft.ML.TransformsCatalog"/> to create instances of numerical
-            normalization components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.Normalize(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Normalize (rescale) several columns according to the specified <paramref name="mode"/>.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="mode">The <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator.NormalizationMode"/> used to map the old values to the new ones. </param>
-            <param name="columns">The pairs of input and output columns.</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeMinMax(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the observed minimum and maximum values of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeMinMax](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeMinMax.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeMinMax(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.Int64,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the observed minimum and maximum values of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeMinMax](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeMinMaxMulticolumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeMeanVariance(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the computed mean and variance of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="useCdf">Whether to use CDF as the output.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeMeanVariance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeMeanVariance.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeMeanVariance(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.Int64,System.Boolean,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the computed mean and variance of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="useCdf">Whether to use CDF as the output.</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeLogMeanVariance(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the computed mean and variance of the logarithm of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="useCdf">Whether to use CDF as the output.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeLogMeanVariance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeLogMeanVariance.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeLogMeanVariance(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.Int64,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the computed mean and variance of the logarithm of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="useCdf">Whether to use CDF as the output.</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeLogMeanVariance(Microsoft.ML.TransformsCatalog,System.String,System.Boolean,System.String,System.Int64,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the computed mean and variance of the logarithm of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="useCdf">Whether to use CDF as the output.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeLogMeanVariance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeLogMeanVarianceFixZero.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeLogMeanVariance(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.Boolean,System.Int64,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes based on the computed mean and variance of the logarithm of the data.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="useCdf">Whether to use CDF as the output.</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeBinning(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes by assigning the data into bins with equal density.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="maximumBinCount">Maximum number of bins (power of 2 recommended).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeBinning](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeBinning.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeBinning(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.Int64,System.Boolean,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes by assigning the data into bins with equal density.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="maximumBinCount">Maximum number of bins (power of 2 recommended).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeBinning](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeBinningMulticolumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeSupervisedBinning(Microsoft.ML.TransformsCatalog,System.String,System.String,System.String,System.Int64,System.Boolean,System.Int32,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes by assigning the data into bins based on correlation with the <paramref name="labelColumnName"/> column.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="labelColumnName">Name of the label column for supervised binning.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="maximumBinCount">Maximum number of bins (power of 2 recommended).</param>
-            <param name="mininimumExamplesPerBin">Minimum number of examples per bin.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeBinning](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeSupervisedBinning.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeSupervisedBinning(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.String,System.Int64,System.Boolean,System.Int32,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes by assigning the data into bins based on correlation with the <paramref name="labelColumnName"/> column.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="labelColumnName">Name of the label column for supervised binning.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="fixZero">Whether to map zero to zero, preserving sparsity.</param>
-            <param name="maximumBinCount">Maximum number of bins (power of 2 recommended).</param>
-            <param name="mininimumExamplesPerBin">Minimum number of examples per bin.</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeRobustScaling(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Int64,System.Boolean,System.UInt32,System.UInt32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes using statistics that are robust to outliers by centering the data around 0 (removing the median) and scales
-            the data according to the quantile range (defaults to the interquartile range).
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-                                           The data type on this column is the same as the input column.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-                                          The data type on this column should be <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="centerData">Whether to center the data around 0 by removing the median. Defaults to true.</param>
-            <param name="quantileMin">Quantile min used to scale the data. Defaults to 25.</param>
-            <param name="quantileMax">Quantile max used to scale the data. Defaults to 75.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeRobustScaling](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeSupervisedBinning.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeRobustScaling(Microsoft.ML.TransformsCatalog,Microsoft.ML.InputOutputColumnPair[],System.Int64,System.Boolean,System.UInt32,System.UInt32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.NormalizingEstimator"/>, which normalizes using statistics that are robust to outliers by centering the data around 0 (removing the median) and scales
-            the data according to the quantile range (defaults to the interquartile range).
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The pairs of input and output columns.
-                        The input columns must be of data type <see cref="T:System.Single"/>, <see cref="T:System.Double"/> or a known-sized vector of those types.
-                        The data type for the output column will be the same as the associated input column.</param>
-            <param name="maximumExampleCount">Maximum number of examples used to train the normalizer.</param>
-            <param name="centerData">Whether to center the data around 0 be removing the median. Defaults to true.</param>
-            <param name="quantileMin">Quantile min used to scale the data. Defaults to 25.</param>
-            <param name="quantileMax">Quantile max used to scale the data. Defaults to 75.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeBinning](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeBinningMulticolumn.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.Normalize(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.NormalizingEstimator.ColumnOptionsBase[])">
-            <summary>
-            Normalize (rescale) columns according to specified custom parameters.
-            </summary>
-            <param name="catalog">The transform catalog</param>
-            <param name="columns">The normalization settings for all the columns</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeLpNorm(Microsoft.ML.TransformsCatalog,System.String,System.String,Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimator"/>, which normalizes (scales) vectors in the input column to the unit norm.
-            The type of norm that is used is defined by <paramref name="norm"/>. Setting <paramref name="ensureZeroMean"/> to <see langword="true"/>,
-            will apply a pre-processing step to make the specified column's mean be a zero vector.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be the same as the input column's data type.</param>
-            <param name="inputColumnName">Name of the column to normalize. If set to <see langword="null"/>, the value of the
-            <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over known-sized vectors of <see cref="T:System.Single"/>.</param>
-            <param name="norm">Type of norm to use to normalize each sample. The indicated norm of the resulting vector will be normalized to one.</param>
-            <param name="ensureZeroMean">If <see langword="true"/>, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeLpNorm](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeLpNorm.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeLpNorm(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.LpNormNormalizingEstimator.ColumnOptions[])">
-            <summary>
-            Takes column filled with a vector of floats and normalize its norm to one. Note that the allowed norm functions are defined in <see cref="T:Microsoft.ML.Transforms.LpNormNormalizingEstimatorBase.NormFunction"/>.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns"> Describes the parameters of the lp-normalization process for each column pair.</param>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeGlobalContrast(Microsoft.ML.TransformsCatalog,System.String,System.String,System.Boolean,System.Boolean,System.Single)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator"/>, which normalizes columns individually applying global contrast normalization.
-            Setting <paramref name="ensureZeroMean"/> to <see langword="true"/>, will apply a pre-processing step to make the specified column's mean be the zero vector.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be the same as the input column's data type.</param>
-            <param name="inputColumnName">Name of the column to normalize. If set to <see langword="null"/>, the value of the
-            <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over known-sized vectors of <see cref="T:System.Single"/>.</param>
-            <param name="ensureZeroMean">If <see langword="true"/>, subtract mean from each value before normalizing and use the raw input otherwise.</param>
-            <param name="ensureUnitStandardDeviation">If <see langword="true"/>, the resulting vector's standard deviation would be one.
-            Otherwise, the resulting vector's L2-norm would be one.</param>
-            <param name="scale">Scale features by this value.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeGlobalContrast](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/NormalizeGlobalContrast.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.NormalizationCatalog.NormalizeGlobalContrast(Microsoft.ML.TransformsCatalog,Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator.ColumnOptions[])">
-            <summary>
-            Takes columns filled with a vector of floats and computes global contrast normalization of it.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="columns"> Describes the parameters of the gcn-normaliztion process for each column pair.</param>
-        </member>
-        <member name="T:Microsoft.ML.PermutationFeatureImportanceExtensions">
-            <summary>
-            Collection of extension methods used by <see cref="T:Microsoft.ML.RegressionCatalog"/>,
-             <see cref="T:Microsoft.ML.BinaryClassificationCatalog"/>, <see cref="T:Microsoft.ML.MulticlassClassificationCatalog"/>,
-             and <see cref="T:Microsoft.ML.RankingCatalog"/> to create instances of permutation feature importance components.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance``1(Microsoft.ML.RegressionCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{``0},Microsoft.ML.IDataView,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for Regression.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. R-squared) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible regression evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.RegressionMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The regression catalog.</param>
-            <param name="predictionTransformer">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:System.Single"/>.</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Array of per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance(Microsoft.ML.RegressionCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for Regression.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. R-squared) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible regression evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.RegressionMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Regression/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The regression catalog.</param>
-            <param name="model">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:System.Single"/>.</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Dictionary mapping each feature to its per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance``1(Microsoft.ML.BinaryClassificationCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{``0},Microsoft.ML.IDataView,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for Binary Classification.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. AUC) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible binary classification evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The binary classification catalog.</param>
-            <param name="predictionTransformer">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Array of per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportanceNonCalibrated(Microsoft.ML.BinaryClassificationCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for Binary Classification.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. AUC) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible binary classification evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.BinaryClassificationMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/BinaryClassification/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The binary classification catalog.</param>
-            <param name="model">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:System.Boolean"/>.</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Dictionary mapping each feature to its per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance``1(Microsoft.ML.MulticlassClassificationCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{``0},Microsoft.ML.IDataView,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for MulticlassClassification.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. micro-accuracy) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible multiclass classification evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.MulticlassClassificationMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The multiclass classification catalog.</param>
-            <param name="predictionTransformer">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Array of per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance(Microsoft.ML.MulticlassClassificationCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for MulticlassClassification.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. micro-accuracy) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible multiclass classification evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.MulticlassClassificationMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/MulticlassClassification/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The multiclass classification catalog.</param>
-            <param name="model">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Dictionary mapping each feature to its per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance``1(Microsoft.ML.RankingCatalog,Microsoft.ML.ISingleFeaturePredictionTransformer{``0},Microsoft.ML.IDataView,System.String,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for Ranking.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. NDCG) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible ranking evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.RankingMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Ranking/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The ranking catalog.</param>
-            <param name="predictionTransformer">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:System.Single"/> or <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="rowGroupColumnName">GroupId column name</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Array of per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="M:Microsoft.ML.PermutationFeatureImportanceExtensions.PermutationFeatureImportance(Microsoft.ML.RankingCatalog,Microsoft.ML.ITransformer,Microsoft.ML.IDataView,System.String,System.String,System.Boolean,System.Nullable{System.Int32},System.Int32)">
-            <summary>
-            Permutation Feature Importance (PFI) for Ranking.
-            </summary>
-            <remarks>
-            <para>
-            Permutation feature importance (PFI) is a technique to determine the global importance of features in a trained
-            machine learning model. PFI is a simple yet powerful technique motivated by Breiman in his Random Forest paper, section 10
-            (Breiman. <a href='https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf'>&quot;Random Forests.&quot;</a> Machine Learning, 2001.)
-            The advantage of the PFI method is that it is model agnostic -- it works with any model that can be
-            evaluated -- and it can use any dataset, not just the training set, to compute feature importance metrics.
-            </para>
-            <para>
-            PFI works by taking a labeled dataset, choosing a feature, and permuting the values
-            for that feature across all the examples, so that each example now has a random value for the feature and
-            the original values for all other features. The evaluation metric (e.g. NDCG) is then calculated
-            for this modified dataset, and the change in the evaluation metric from the original dataset is computed.
-            The larger the change in the evaluation metric, the more important the feature is to the model.
-            PFI works by performing this permutation analysis across all the features of a model, one after another.
-            </para>
-            <para>
-            In this implementation, PFI computes the change in all possible ranking evaluation metrics for each feature, and an
-            <see cref="T:System.Collections.Immutable.ImmutableArray"/> of <see cref="T:Microsoft.ML.Data.RankingMetrics"/> objects is returned. See the sample below for an
-            example of working with these results to analyze the feature importance of a model.
-            </para>
-            </remarks>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[PermutationFeatureImportance](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Trainers/Ranking/PermutationFeatureImportance.cs)]
-            ]]>
-            </format>
-            </example>
-            <param name="catalog">The ranking catalog.</param>
-            <param name="model">The model on which to evaluate feature importance.</param>
-            <param name="data">The evaluation data set.</param>
-            <param name="labelColumnName">Label column name. The column data must be <see cref="T:System.Single"/> or <see cref="T:Microsoft.ML.Data.KeyDataViewType"/>.</param>
-            <param name="rowGroupColumnName">GroupId column name</param>
-            <param name="useFeatureWeightFilter">Use features weight to pre-filter features.</param>
-            <param name="numberOfExamplesToUse">Limit the number of examples to evaluate on. <cref langword="null"/> means up to ~2 bln examples from <paramref param="data"/> will be used.</param>
-            <param name="permutationCount">The number of permutations to perform.</param>
-            <returns>Dictionary mapping each feature to its per-feature 'contributions' to the score.</returns>
-        </member>
-        <member name="T:Microsoft.ML.TextCatalog">
-            <summary>
-            Collection of extension methods for the <see cref="T:Microsoft.ML.TransformsCatalog"/>.
-            </summary>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator"/>, which transforms a text column into a featurized vector of <see cref="T:System.Single"/> that represents normalized counts of n-grams and char-grams.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/>. </param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over text data.
-            </param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FeaturizeText](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/FeaturizeText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.FeaturizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,Microsoft.ML.Transforms.Text.TextFeaturizingEstimator.Options,System.String[])">
-            <summary>
-             Create a <see cref="T:Microsoft.ML.Transforms.Text.TextFeaturizingEstimator"/>, which transforms a text column into featurized vector of <see cref="T:System.Single"/> that represents normalized counts of n-grams and char-grams.
-            </summary>
-            <remarks>This transform can operate over several columns.</remarks>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/>.
-            </param>
-            <param name="options">Advanced options to the algorithm.</param>
-            <param name="inputColumnNames">Name of the columns to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over text data, and it can transform several columns at once, yielding one vector of <see cref="T:System.Single"/>
-            as the resulting features for all columns.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FeaturizeText](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/FeaturizeTextWithOptions.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.TokenizeIntoCharactersAsKeys(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator"/>, which tokenizes by splitting text into sequences of characters
-            using a sliding window.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a variable-sized vector of keys.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the
-            <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over text data type.</param>
-            <param name="useMarkerCharacters">To be able to distinguish the tokens, for example for debugging purposes,
-            you can choose to prepend a marker character, <see langword="0x02"/>, to the beginning,
-            and append another marker character, <see langword="0x03"/>, to the end of the output vector of characters.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[TokenizeIntoCharacters](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/TokenizeIntoCharactersAsKeys.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.TokenizeIntoCharactersAsKeys(Microsoft.ML.TransformsCatalog.TextTransforms,System.Boolean,Microsoft.ML.InputOutputColumnPair[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.TokenizingByCharactersEstimator"/>, which tokenizes incoming text in input columns and output the tokens as output columns.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="useMarkerCharacters">Whether to prepend a marker character, <see langword="0x02"/>, to the beginning,
-            and append another marker character, <see langword="0x03"/>, to the end of the output vector of characters.</param>
-            <param name="columns">Pairs of columns to run the tokenization on.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.NormalizeText(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.TextNormalizingEstimator.CaseMode,System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Creates a <see cref="T:Microsoft.ML.Transforms.Text.TextNormalizingEstimator"/>, which normalizes incoming text in <paramref name="inputColumnName"/> by optionally
-            changing case, removing diacritical marks, punctuation marks, numbers, and outputs new text as <paramref name="outputColumnName"/>.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type is a scalar or a vector of text depending on the input column data type.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>,
-            the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates on text or vector of text data types.</param>
-            <param name="caseMode">Casing text using the rules of the invariant culture.</param>
-            <param name="keepDiacritics">Whether to keep diacritical marks or remove them.</param>
-            <param name="keepPunctuations">Whether to keep punctuation marks or remove them.</param>
-            <param name="keepNumbers">Whether to keep numbers or remove them.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[NormalizeText](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/NormalizeText.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind)">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator"/>, which is a text featurizer that converts a vector
-            of text into a numerical vector using pre-trained embeddings models.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>,
-            the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over known-size vector of text data type.</param>
-            <param name="modelKind">The embeddings <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind"/> to use. </param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[ApplyWordEmbedding](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyWordEmbedding.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String)">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator"/>, which is a text featurizer that converts vectors
-            of text into numerical vectors using pre-trained embeddings models.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="customModelFile">The path of the pre-trained embeddings model to use.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>,
-            the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over known-size vector of text data type.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[ApplyWordEmbedding](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ApplyCustomWordEmbedding.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ApplyWordEmbedding(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind,Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.ColumnOptions[])">
-            <summary>
-            Create an <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator"/>, which is a text featurizer that converts vectors
-            of text into numerical vectors using pre-trained embeddings models.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="modelKind">The embeddings <see cref="T:Microsoft.ML.Transforms.Text.WordEmbeddingEstimator.PretrainedModelKind"/> to use. </param>
-            <param name="columns">The array columns, and per-column configurations to extract embeddings from.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[FeaturizeText](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/WordEmbeddingTransform.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.TokenizeIntoWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Char[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.WordTokenizingEstimator"/>, which tokenizes input text using <paramref name="separators"/> as separators.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a variable-size vector of text.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates on scalar of text and vector of text data type.</param>
-            <param name="separators">The separators to use (uses space character by default).</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[TokenizeIntoWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/TokenizeIntoWords.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.TokenizeIntoWords(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.WordTokenizingEstimator.ColumnOptions[])">
-            <summary>
-             Tokenizes incoming text in input columns, using per-column configurations, and outputs the tokens.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="columns">Pairs of columns to run the tokenization on.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)">
-            <summary>
-            Creates a <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator"/> which produces a vector of counts of n-grams (sequences of consecutive words)
-            encountered in the input text.
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be a vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to transform. If set to <see langword="null"/>, the value of the <paramref name="outputColumnName"/> will be used as source.
-            This estimator operates over vectors of keys data type.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Number of tokens to skip between each n-gram. By default no token is skipped.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word or n-gram is to a document in a corpus.
-            When <paramref name="maximumNgramsCount"/> is smaller than the total number of encountered n-grams this measure is used
-            to determine which n-grams to keep.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[ProduceNgrams](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ProduceNgrams.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.ColumnOptions[])">
-            <summary>
-            Produces a bag of counts of n-grams (sequences of consecutive words) in <paramref name="columns.inputs.inputs"/>
-            and outputs bag of word vector for each output in <paramref name="columns.output.output"/>
-            </summary>
-            <param name="catalog">The text-related transform's catalog.</param>
-            <param name="columns">Pairs of columns to run the n-gram process on.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.RemoveDefaultStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,Microsoft.ML.Transforms.Text.StopWordsRemovingEstimator.Language)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator"/>, which copies the data from the column specified in <paramref name="inputColumnName"/>
-            to a new column: <paramref name="outputColumnName"/> and removes predifined set of text specific for <paramref name="language"/> from it.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be variable-size vector of text.</param>
-            <param name="inputColumnName">Name of the column to copy the data from.
-            This estimator operates over vector of text.</param>
-            <param name="language">Langauge of the input text column <paramref name="inputColumnName"/>.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[RemoveDefaultStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveDefaultStopWords.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.RemoveStopWords(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.String[])">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.CustomStopWordsRemovingEstimator"/>, which copies the data from the column specified in <paramref name="inputColumnName"/>
-            to a new column: <paramref name="outputColumnName"/> and removes text specified in <paramref name="stopwords"/> from it.
-            </summary>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be variable-size vector of text.</param>
-            <param name="inputColumnName">Name of the column to copy the data from.
-            This estimator operates over a vector of text.</param>
-            <param name="stopwords">Array of words to remove.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[RemoveStopWords](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/RemoveStopWords.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator"/>, which maps the column specified in <paramref name="inputColumnName"/>
-            to a vector of n-gram counts in a new column named <paramref name="outputColumnName"/>.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator"/> in that the former
-            tokenizes text internally and the latter takes tokenized text as input.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be known-size vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to take the data from.
-            This estimator operates over vector of text.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.Char,System.Char,System.String,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator"/>, which maps the column specified in <paramref name="inputColumnName"/>
-            to a vector of n-gram counts in a new column named <paramref name="outputColumnName"/>.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator"/> in that the former
-            tokenizes text internally and the latter takes tokenized text as input.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be known-size vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to take the data from.
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="termSeparator">Separator used to separate terms/frequency pairs.</param>
-            <param name="freqSeparator">Separator used to separate terms from their frequency.</param>
-            This estimator operates over vector of text.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Boolean,System.Int32,Microsoft.ML.Transforms.Text.NgramExtractingEstimator.WeightingCriteria)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator"/>, which maps the multiple columns specified in <paramref name="inputColumnNames"/>
-            to a vector of n-gram counts in a new column named <paramref name="outputColumnName"/>.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.WordBagEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.NgramExtractingEstimator"/> in that the former
-            tokenizes text internally and the latter takes tokenized text as input.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.
-            This column's data type will be known-size vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnNames">Names of the multiple columns to take the data from.
-            This estimator operates over vector of text.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="maximumNgramsCount">Maximum number of n-grams to store in the dictionary.</param>
-            <param name="weighting">Statistical measure used to evaluate how important a word is to a document in a corpus.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/>, which maps the column specified in <paramref name="inputColumnName"/>
-            to a vector of counts of hashed n-grams in a new column named <paramref name="outputColumnName"/>.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> in that the former
-            tokenizes text internally and the latter takes tokenized text as input.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be known-size vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to take the data from.
-            This estimator operates over vector of text.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  annotations for the new column. Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceHashedWordBags(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/>, which maps the multiple columns specified in <paramref name="inputColumnNames"/>
-            to a vector of counts of hashed n-grams in a new column named <paramref name="outputColumnName"/>.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> in that the former
-            tokenizes text internally and the latter takes tokenized text as input.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.
-            This column's data type will be known-size vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnNames">Names of the multiple columns to take the data from.
-            This estimator operates over vector of text.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  annotations for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>, which copies the data from the column specified in <paramref name="inputColumnName"/>
-            to a new column: <paramref name="outputColumnName"/> and produces a vector of counts of hashed n-grams.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> in a way that <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>
-            takes tokenized text as input while <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> tokenizes text internally.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnName"/>.
-            This column's data type will be vector of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnName">Name of the column to copy the data from.
-            This estimator operates over vector of key type.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  annotations for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="rehashUnigrams">Whether to rehash unigrams.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String[],System.Int32,System.Int32,System.Int32,System.Boolean,System.UInt32,System.Boolean,System.Int32,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>, which takes the data from the multiple columns specified in <paramref name="inputColumnNames"/>
-            to a new column: <paramref name="outputColumnName"/> and produces a vector of counts of hashed n-grams.
-            </summary>
-            <remarks>
-            <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> in a way that <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>
-            takes tokenized text as input while <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> tokenizes text internally.
-            </remarks>
-            <param name="catalog">The transform's catalog.</param>
-            <param name="outputColumnName">Name of the column resulting from the transformation of <paramref name="inputColumnNames"/>.
-            This column's data type will be vector of known size of <see cref="T:System.Single"/>.</param>
-            <param name="inputColumnNames">Name of the multiple columns to take the data from.
-            This estimator operates over vector of key type.</param>
-            <param name="numberOfBits">Number of bits to hash into. Must be between 1 and 30, inclusive.</param>
-            <param name="ngramLength">Ngram length.</param>
-            <param name="skipLength">Maximum number of tokens to skip when constructing an n-gram.</param>
-            <param name="useAllLengths">Whether to include all n-gram lengths up to <paramref name="ngramLength"/> or only <paramref name="ngramLength"/>.</param>
-            <param name="seed">Hashing seed.</param>
-            <param name="useOrderedHashing">Whether the position of each source column should be included in the hash (when there are multiple source columns).</param>
-            <param name="maximumNumberOfInverts">During hashing we construct mappings between original values and the produced hash values.
-            Text representation of original values are stored in the slot names of the  annotations for the new column.Hashing, as such, can map many initial values to one.
-            <paramref name="maximumNumberOfInverts"/> specifies the upper bound of the number of distinct input values mapping to a hash that should be retained.
-            <value>0</value> does not retain any input values. <value>-1</value> retains all input values mapping to each hash.</param>
-            <param name="rehashUnigrams">Whether to rehash unigrams.</param>
-            <example>
-            <format type="text/markdown">
-            <![CDATA[
-            [!code-csharp[ProduceHashedNgrams](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/ProduceHashedNgrams.cs)]
-            ]]>
-            </format>
-            </example>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.ProduceHashedNgrams(Microsoft.ML.TransformsCatalog.TextTransforms,Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions[])">
-             <summary>
-             Produces a bag of counts of hashed n-grams for each <paramref name="columns"/>. For each column,
-             <see cref="P:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.InputColumnNames"/> are the input columns of the output column named as <see cref="F:Microsoft.ML.Transforms.Text.NgramHashingEstimator.ColumnOptions.Name"/>.
-            
-             <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/> is different from <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> in a way that <see cref="T:Microsoft.ML.Transforms.Text.NgramHashingEstimator"/>
-             takes tokenized text as input while <see cref="T:Microsoft.ML.Transforms.Text.WordHashBagEstimator"/> tokenizes text internally.
-             </summary>
-             <param name="catalog">The text-related transform's catalog.</param>
-             <param name="columns">Pairs of columns to compute n-grams. Note that gram indices are generated by hashing.</param>
-        </member>
-        <member name="M:Microsoft.ML.TextCatalog.LatentDirichletAllocation(Microsoft.ML.TransformsCatalog.TextTransforms,System.String,System.String,System.Int32,System.Single,System.Single,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Boolean)">
-            <summary>
-            Create a <see cref="T:Microsoft.ML.Transforms.Text.LatentDirichletAllocationEstimator"/>, which uses <a href="https://arxiv.org/abs/1412.1576">LightLDA</a> to transform text (represented as a vector of floats)
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-            <![CDATA[
-            [!code-csharp[LatentDirichletAllocation](~/../docs/samples/docs/samples/Microsoft.ML.Samples/Dynamic/Transforms/Text/LatentDirichletAllocation.cs)]
-            ]]>
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index dd6a5a276..000000000
Binary files a/W/Debug_Folder/Microsoft.ML.dll and /dev/null differ
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deleted file mode 100644
index 2c0d4a7c1..000000000
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Binary files a/W/Debug_Folder/Newtonsoft.Json.dll and /dev/null differ
diff --git a/W/Debug_Folder/Newtonsoft.Json.xml b/W/Debug_Folder/Newtonsoft.Json.xml
deleted file mode 100644
index 008e0ca23..000000000
--- a/W/Debug_Folder/Newtonsoft.Json.xml
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-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
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-        <member name="M:Newtonsoft.Json.Converters.CustomCreationConverter`1.Create(System.Type)">
-            <summary>
-            Creates an object which will then be populated by the serializer.
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-            <param name="objectType">Type of the object.</param>
-            <returns>The created object.</returns>
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-        <member name="M:Newtonsoft.Json.Converters.CustomCreationConverter`1.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
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-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.CustomCreationConverter`1.CanWrite">
-            <summary>
-            Gets a value indicating whether this <see cref="T:Newtonsoft.Json.JsonConverter"/> can write JSON.
-            </summary>
-            <value>
-            	<c>true</c> if this <see cref="T:Newtonsoft.Json.JsonConverter"/> can write JSON; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.DataSetConverter">
-            <summary>
-            Converts a <see cref="T:System.Data.DataSet"/> to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DataSetConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DataSetConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DataSetConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified value type.
-            </summary>
-            <param name="valueType">Type of the value.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified value type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.DataTableConverter">
-            <summary>
-            Converts a <see cref="T:System.Data.DataTable"/> to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DataTableConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DataTableConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DataTableConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified value type.
-            </summary>
-            <param name="valueType">Type of the value.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified value type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.DateTimeConverterBase">
-            <summary>
-            Provides a base class for converting a <see cref="T:System.DateTime"/> to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DateTimeConverterBase.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.DiscriminatedUnionConverter">
-            <summary>
-            Converts a F# discriminated union type to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DiscriminatedUnionConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DiscriminatedUnionConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.DiscriminatedUnionConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.EntityKeyMemberConverter">
-            <summary>
-            Converts an Entity Framework <see cref="T:System.Data.EntityKeyMember"/> to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.EntityKeyMemberConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.EntityKeyMemberConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.EntityKeyMemberConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.ExpandoObjectConverter">
-            <summary>
-            Converts an <see cref="T:System.Dynamic.ExpandoObject"/> to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.ExpandoObjectConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.ExpandoObjectConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.ExpandoObjectConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.ExpandoObjectConverter.CanWrite">
-            <summary>
-            Gets a value indicating whether this <see cref="T:Newtonsoft.Json.JsonConverter"/> can write JSON.
-            </summary>
-            <value>
-            	<c>true</c> if this <see cref="T:Newtonsoft.Json.JsonConverter"/> can write JSON; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.IsoDateTimeConverter">
-            <summary>
-            Converts a <see cref="T:System.DateTime"/> to and from the ISO 8601 date format (e.g. <c>"2008-04-12T12:53Z"</c>).
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.IsoDateTimeConverter.DateTimeStyles">
-            <summary>
-            Gets or sets the date time styles used when converting a date to and from JSON.
-            </summary>
-            <value>The date time styles used when converting a date to and from JSON.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.IsoDateTimeConverter.DateTimeFormat">
-            <summary>
-            Gets or sets the date time format used when converting a date to and from JSON.
-            </summary>
-            <value>The date time format used when converting a date to and from JSON.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.IsoDateTimeConverter.Culture">
-            <summary>
-            Gets or sets the culture used when converting a date to and from JSON.
-            </summary>
-            <value>The culture used when converting a date to and from JSON.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.IsoDateTimeConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.IsoDateTimeConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.JavaScriptDateTimeConverter">
-            <summary>
-            Converts a <see cref="T:System.DateTime"/> to and from a JavaScript <c>Date</c> constructor (e.g. <c>new Date(52231943)</c>).
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.JavaScriptDateTimeConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.JavaScriptDateTimeConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing property value of the JSON that is being converted.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.KeyValuePairConverter">
-            <summary>
-            Converts a <see cref="T:System.Collections.Generic.KeyValuePair`2"/> to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.KeyValuePairConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.KeyValuePairConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.KeyValuePairConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.RegexConverter">
-            <summary>
-            Converts a <see cref="T:System.Text.RegularExpressions.Regex"/> to and from JSON and BSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.RegexConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.RegexConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.RegexConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.StringEnumConverter">
-            <summary>
-            Converts an <see cref="T:System.Enum"/> to and from its name string value.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.StringEnumConverter.CamelCaseText">
-            <summary>
-            Gets or sets a value indicating whether the written enum text should be camel case.
-            The default value is <c>false</c>.
-            </summary>
-            <value><c>true</c> if the written enum text will be camel case; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.StringEnumConverter.NamingStrategy">
-            <summary>
-            Gets or sets the naming strategy used to resolve how enum text is written.
-            </summary>
-            <value>The naming strategy used to resolve how enum text is written.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.StringEnumConverter.AllowIntegerValues">
-            <summary>
-            Gets or sets a value indicating whether integer values are allowed when serializing and deserializing.
-            The default value is <c>true</c>.
-            </summary>
-            <value><c>true</c> if integers are allowed when serializing and deserializing; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Converters.StringEnumConverter"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.#ctor(System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Converters.StringEnumConverter"/> class.
-            </summary>
-            <param name="camelCaseText"><c>true</c> if the written enum text will be camel case; otherwise, <c>false</c>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.#ctor(Newtonsoft.Json.Serialization.NamingStrategy,System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Converters.StringEnumConverter"/> class.
-            </summary>
-            <param name="namingStrategy">The naming strategy used to resolve how enum text is written.</param>
-            <param name="allowIntegerValues"><c>true</c> if integers are allowed when serializing and deserializing; otherwise, <c>false</c>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Converters.StringEnumConverter"/> class.
-            </summary>
-            <param name="namingStrategyType">The <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> used to write enum text.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.#ctor(System.Type,System.Object[])">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Converters.StringEnumConverter"/> class.
-            </summary>
-            <param name="namingStrategyType">The <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> used to write enum text.</param>
-            <param name="namingStrategyParameters">
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> described by <paramref name="namingStrategyType"/>.
-            If <c>null</c>, the default constructor is used.
-            When non-<c>null</c>, there must be a constructor defined in the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> that exactly matches the number,
-            order, and type of these parameters.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.#ctor(System.Type,System.Object[],System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Converters.StringEnumConverter"/> class.
-            </summary>
-            <param name="namingStrategyType">The <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> used to write enum text.</param>
-            <param name="namingStrategyParameters">
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> described by <paramref name="namingStrategyType"/>.
-            If <c>null</c>, the default constructor is used.
-            When non-<c>null</c>, there must be a constructor defined in the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> that exactly matches the number,
-            order, and type of these parameters.
-            </param>
-            <param name="allowIntegerValues"><c>true</c> if integers are allowed when serializing and deserializing; otherwise, <c>false</c>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.StringEnumConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            <c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.UnixDateTimeConverter">
-            <summary>
-            Converts a <see cref="T:System.DateTime"/> to and from Unix epoch time
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.UnixDateTimeConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.UnixDateTimeConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing property value of the JSON that is being converted.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.VersionConverter">
-            <summary>
-            Converts a <see cref="T:System.Version"/> to and from a string (e.g. <c>"1.2.3.4"</c>).
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.VersionConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.VersionConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing property value of the JSON that is being converted.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.VersionConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Converters.XmlNodeConverter">
-            <summary>
-            Converts XML to and from JSON.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.XmlNodeConverter.DeserializeRootElementName">
-            <summary>
-            Gets or sets the name of the root element to insert when deserializing to XML if the JSON structure has produced multiple root elements.
-            </summary>
-            <value>The name of the deserialized root element.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.XmlNodeConverter.WriteArrayAttribute">
-            <summary>
-            Gets or sets a value to indicate whether to write the Json.NET array attribute.
-            This attribute helps preserve arrays when converting the written XML back to JSON.
-            </summary>
-            <value><c>true</c> if the array attribute is written to the XML; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.XmlNodeConverter.OmitRootObject">
-            <summary>
-            Gets or sets a value indicating whether to write the root JSON object.
-            </summary>
-            <value><c>true</c> if the JSON root object is omitted; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Converters.XmlNodeConverter.EncodeSpecialCharacters">
-            <summary>
-            Gets or sets a value indicating whether to encode special characters when converting JSON to XML.
-            If <c>true</c>, special characters like ':', '@', '?', '#' and '$' in JSON property names aren't used to specify
-            XML namespaces, attributes or processing directives. Instead special characters are encoded and written
-            as part of the XML element name.
-            </summary>
-            <value><c>true</c> if special characters are encoded; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.XmlNodeConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="serializer">The calling serializer.</param>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.XmlNodeConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.XmlNodeConverter.IsNamespaceAttribute(System.String,System.String@)">
-            <summary>
-            Checks if the <paramref name="attributeName"/> is a namespace attribute.
-            </summary>
-            <param name="attributeName">Attribute name to test.</param>
-            <param name="prefix">The attribute name prefix if it has one, otherwise an empty string.</param>
-            <returns><c>true</c> if attribute name is for a namespace attribute, otherwise <c>false</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Converters.XmlNodeConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified value type.
-            </summary>
-            <param name="valueType">Type of the value.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified value type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.DateFormatHandling">
-            <summary>
-            Specifies how dates are formatted when writing JSON text.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateFormatHandling.IsoDateFormat">
-            <summary>
-            Dates are written in the ISO 8601 format, e.g. <c>"2012-03-21T05:40Z"</c>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateFormatHandling.MicrosoftDateFormat">
-            <summary>
-            Dates are written in the Microsoft JSON format, e.g. <c>"\/Date(1198908717056)\/"</c>.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.DateParseHandling">
-            <summary>
-            Specifies how date formatted strings, e.g. <c>"\/Date(1198908717056)\/"</c> and <c>"2012-03-21T05:40Z"</c>, are parsed when reading JSON text.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateParseHandling.None">
-            <summary>
-            Date formatted strings are not parsed to a date type and are read as strings.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateParseHandling.DateTime">
-            <summary>
-            Date formatted strings, e.g. <c>"\/Date(1198908717056)\/"</c> and <c>"2012-03-21T05:40Z"</c>, are parsed to <see cref="T:System.DateTime"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateParseHandling.DateTimeOffset">
-            <summary>
-            Date formatted strings, e.g. <c>"\/Date(1198908717056)\/"</c> and <c>"2012-03-21T05:40Z"</c>, are parsed to <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.DateTimeZoneHandling">
-            <summary>
-            Specifies how to treat the time value when converting between string and <see cref="T:System.DateTime"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateTimeZoneHandling.Local">
-            <summary>
-            Treat as local time. If the <see cref="T:System.DateTime"/> object represents a Coordinated Universal Time (UTC), it is converted to the local time.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateTimeZoneHandling.Utc">
-            <summary>
-            Treat as a UTC. If the <see cref="T:System.DateTime"/> object represents a local time, it is converted to a UTC.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateTimeZoneHandling.Unspecified">
-            <summary>
-            Treat as a local time if a <see cref="T:System.DateTime"/> is being converted to a string.
-            If a string is being converted to <see cref="T:System.DateTime"/>, convert to a local time if a time zone is specified.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DateTimeZoneHandling.RoundtripKind">
-            <summary>
-            Time zone information should be preserved when converting.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.DefaultJsonNameTable">
-            <summary>
-            The default JSON name table implementation.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.DefaultJsonNameTable.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.DefaultJsonNameTable"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.DefaultJsonNameTable.Get(System.Char[],System.Int32,System.Int32)">
-            <summary>
-            Gets a string containing the same characters as the specified range of characters in the given array.
-            </summary>
-            <param name="key">The character array containing the name to find.</param>
-            <param name="start">The zero-based index into the array specifying the first character of the name.</param>
-            <param name="length">The number of characters in the name.</param>
-            <returns>A string containing the same characters as the specified range of characters in the given array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.DefaultJsonNameTable.Add(System.String)">
-            <summary>
-            Adds the specified string into name table.
-            </summary>
-            <param name="key">The string to add.</param>
-            <remarks>This method is not thread-safe.</remarks>
-            <returns>The resolved string.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.DefaultValueHandling">
-            <summary>
-            Specifies default value handling options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="ReducingSerializedJsonSizeDefaultValueHandlingObject" title="DefaultValueHandling Class" />
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="ReducingSerializedJsonSizeDefaultValueHandlingExample" title="DefaultValueHandling Ignore Example" />
-            </example>
-        </member>
-        <member name="F:Newtonsoft.Json.DefaultValueHandling.Include">
-            <summary>
-            Include members where the member value is the same as the member's default value when serializing objects.
-            Included members are written to JSON. Has no effect when deserializing.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DefaultValueHandling.Ignore">
-            <summary>
-            Ignore members where the member value is the same as the member's default value when serializing objects
-            so that it is not written to JSON.
-            This option will ignore all default values (e.g. <c>null</c> for objects and nullable types; <c>0</c> for integers,
-            decimals and floating point numbers; and <c>false</c> for booleans). The default value ignored can be changed by
-            placing the <see cref="T:System.ComponentModel.DefaultValueAttribute"/> on the property.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DefaultValueHandling.Populate">
-            <summary>
-            Members with a default value but no JSON will be set to their default value when deserializing.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.DefaultValueHandling.IgnoreAndPopulate">
-            <summary>
-            Ignore members where the member value is the same as the member's default value when serializing objects
-            and set members to their default value when deserializing.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.FloatFormatHandling">
-            <summary>
-            Specifies float format handling options when writing special floating point numbers, e.g. <see cref="F:System.Double.NaN"/>,
-            <see cref="F:System.Double.PositiveInfinity"/> and <see cref="F:System.Double.NegativeInfinity"/> with <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.FloatFormatHandling.String">
-            <summary>
-            Write special floating point values as strings in JSON, e.g. <c>"NaN"</c>, <c>"Infinity"</c>, <c>"-Infinity"</c>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.FloatFormatHandling.Symbol">
-            <summary>
-            Write special floating point values as symbols in JSON, e.g. <c>NaN</c>, <c>Infinity</c>, <c>-Infinity</c>.
-            Note that this will produce non-valid JSON.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.FloatFormatHandling.DefaultValue">
-            <summary>
-            Write special floating point values as the property's default value in JSON, e.g. 0.0 for a <see cref="T:System.Double"/> property, <c>null</c> for a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> property.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.FloatParseHandling">
-            <summary>
-            Specifies how floating point numbers, e.g. 1.0 and 9.9, are parsed when reading JSON text.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.FloatParseHandling.Double">
-            <summary>
-            Floating point numbers are parsed to <see cref="F:Newtonsoft.Json.FloatParseHandling.Double"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.FloatParseHandling.Decimal">
-            <summary>
-            Floating point numbers are parsed to <see cref="F:Newtonsoft.Json.FloatParseHandling.Decimal"/>.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Formatting">
-            <summary>
-            Specifies formatting options for the <see cref="T:Newtonsoft.Json.JsonTextWriter"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Formatting.None">
-            <summary>
-            No special formatting is applied. This is the default.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Formatting.Indented">
-            <summary>
-            Causes child objects to be indented according to the <see cref="P:Newtonsoft.Json.JsonTextWriter.Indentation"/> and <see cref="P:Newtonsoft.Json.JsonTextWriter.IndentChar"/> settings.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.IArrayPool`1">
-            <summary>
-            Provides an interface for using pooled arrays.
-            </summary>
-            <typeparam name="T">The array type content.</typeparam>
-        </member>
-        <member name="M:Newtonsoft.Json.IArrayPool`1.Rent(System.Int32)">
-            <summary>
-            Rent an array from the pool. This array must be returned when it is no longer needed.
-            </summary>
-            <param name="minimumLength">The minimum required length of the array. The returned array may be longer.</param>
-            <returns>The rented array from the pool. This array must be returned when it is no longer needed.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.IArrayPool`1.Return(`0[])">
-            <summary>
-            Return an array to the pool.
-            </summary>
-            <param name="array">The array that is being returned.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.IJsonLineInfo">
-            <summary>
-            Provides an interface to enable a class to return line and position information.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.IJsonLineInfo.HasLineInfo">
-            <summary>
-            Gets a value indicating whether the class can return line information.
-            </summary>
-            <returns>
-            	<c>true</c> if <see cref="P:Newtonsoft.Json.IJsonLineInfo.LineNumber"/> and <see cref="P:Newtonsoft.Json.IJsonLineInfo.LinePosition"/> can be provided; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.IJsonLineInfo.LineNumber">
-            <summary>
-            Gets the current line number.
-            </summary>
-            <value>The current line number or 0 if no line information is available (for example, when <see cref="M:Newtonsoft.Json.IJsonLineInfo.HasLineInfo"/> returns <c>false</c>).</value>
-        </member>
-        <member name="P:Newtonsoft.Json.IJsonLineInfo.LinePosition">
-            <summary>
-            Gets the current line position.
-            </summary>
-            <value>The current line position or 0 if no line information is available (for example, when <see cref="M:Newtonsoft.Json.IJsonLineInfo.HasLineInfo"/> returns <c>false</c>).</value>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonArrayAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> how to serialize the collection.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonArrayAttribute.AllowNullItems">
-            <summary>
-            Gets or sets a value indicating whether null items are allowed in the collection.
-            </summary>
-            <value><c>true</c> if null items are allowed in the collection; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonArrayAttribute.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonArrayAttribute"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonArrayAttribute.#ctor(System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonObjectAttribute"/> class with a flag indicating whether the array can contain null items.
-            </summary>
-            <param name="allowNullItems">A flag indicating whether the array can contain null items.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonArrayAttribute.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonArrayAttribute"/> class with the specified container Id.
-            </summary>
-            <param name="id">The container Id.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonConstructorAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> to use the specified constructor when deserializing that object.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonContainerAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> how to serialize the object.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.Id">
-            <summary>
-            Gets or sets the id.
-            </summary>
-            <value>The id.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.Title">
-            <summary>
-            Gets or sets the title.
-            </summary>
-            <value>The title.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.Description">
-            <summary>
-            Gets or sets the description.
-            </summary>
-            <value>The description.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.ItemConverterType">
-            <summary>
-            Gets or sets the collection's items converter.
-            </summary>
-            <value>The collection's items converter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.ItemConverterParameters">
-            <summary>
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.JsonConverter"/> described by <see cref="P:Newtonsoft.Json.JsonContainerAttribute.ItemConverterType"/>.
-            If <c>null</c>, the default constructor is used.
-            When non-<c>null</c>, there must be a constructor defined in the <see cref="T:Newtonsoft.Json.JsonConverter"/> that exactly matches the number,
-            order, and type of these parameters.
-            </summary>
-            <example>
-            <code>
-            [JsonContainer(ItemConverterType = typeof(MyContainerConverter), ItemConverterParameters = new object[] { 123, "Four" })]
-            </code>
-            </example>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.NamingStrategyType">
-            <summary>
-            Gets or sets the <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/>.
-            </summary>
-            <value>The <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.NamingStrategyParameters">
-            <summary>
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> described by <see cref="P:Newtonsoft.Json.JsonContainerAttribute.NamingStrategyType"/>.
-            If <c>null</c>, the default constructor is used.
-            When non-<c>null</c>, there must be a constructor defined in the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> that exactly matches the number,
-            order, and type of these parameters.
-            </summary>
-            <example>
-            <code>
-            [JsonContainer(NamingStrategyType = typeof(MyNamingStrategy), NamingStrategyParameters = new object[] { 123, "Four" })]
-            </code>
-            </example>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.IsReference">
-            <summary>
-            Gets or sets a value that indicates whether to preserve object references.
-            </summary>
-            <value>
-            	<c>true</c> to keep object reference; otherwise, <c>false</c>. The default is <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.ItemIsReference">
-            <summary>
-            Gets or sets a value that indicates whether to preserve collection's items references.
-            </summary>
-            <value>
-            	<c>true</c> to keep collection's items object references; otherwise, <c>false</c>. The default is <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.ItemReferenceLoopHandling">
-            <summary>
-            Gets or sets the reference loop handling used when serializing the collection's items.
-            </summary>
-            <value>The reference loop handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonContainerAttribute.ItemTypeNameHandling">
-            <summary>
-            Gets or sets the type name handling used when serializing the collection's items.
-            </summary>
-            <value>The type name handling.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonContainerAttribute.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonContainerAttribute"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonContainerAttribute.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonContainerAttribute"/> class with the specified container Id.
-            </summary>
-            <param name="id">The container Id.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonConvert">
-            <summary>
-            Provides methods for converting between .NET types and JSON types.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="SerializeObject" title="Serializing and Deserializing JSON with JsonConvert" />
-            </example>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonConvert.DefaultSettings">
-            <summary>
-            Gets or sets a function that creates default <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            Default settings are automatically used by serialization methods on <see cref="T:Newtonsoft.Json.JsonConvert"/>,
-            and <see cref="M:Newtonsoft.Json.Linq.JToken.ToObject``1"/> and <see cref="M:Newtonsoft.Json.Linq.JToken.FromObject(System.Object)"/> on <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            To serialize without using any default settings create a <see cref="T:Newtonsoft.Json.JsonSerializer"/> with
-            <see cref="M:Newtonsoft.Json.JsonSerializer.Create"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.True">
-            <summary>
-            Represents JavaScript's boolean value <c>true</c> as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.False">
-            <summary>
-            Represents JavaScript's boolean value <c>false</c> as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.Null">
-            <summary>
-            Represents JavaScript's <c>null</c> as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.Undefined">
-            <summary>
-            Represents JavaScript's <c>undefined</c> as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.PositiveInfinity">
-            <summary>
-            Represents JavaScript's positive infinity as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.NegativeInfinity">
-            <summary>
-            Represents JavaScript's negative infinity as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonConvert.NaN">
-            <summary>
-            Represents JavaScript's <c>NaN</c> as a string. This field is read-only.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.ToString(System.DateTime)">
-            <summary>
-            Converts the <see cref="T:System.DateTime"/> to its JSON string representation.
-            </summary>
-            <param name="value">The value to convert.</param>
-            <returns>A JSON string representation of the <see cref="T:System.DateTime"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.ToString(System.DateTime,Newtonsoft.Json.DateFormatHandling,Newtonsoft.Json.DateTimeZoneHandling)">
-            <summary>
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-            <param name="node">The node to convert to JSON.</param>
-            <param name="formatting">Indicates how the output should be formatted.</param>
-            <returns>A JSON string of the <see cref="T:System.Xml.Linq.XNode"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.SerializeXNode(System.Xml.Linq.XObject,Newtonsoft.Json.Formatting,System.Boolean)">
-            <summary>
-            Serializes the <see cref="T:System.Xml.Linq.XNode"/> to a JSON string using formatting and omits the root object if <paramref name="omitRootObject"/> is <c>true</c>.
-            </summary>
-            <param name="node">The node to serialize.</param>
-            <param name="formatting">Indicates how the output should be formatted.</param>
-            <param name="omitRootObject">Omits writing the root object.</param>
-            <returns>A JSON string of the <see cref="T:System.Xml.Linq.XNode"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.DeserializeXNode(System.String)">
-            <summary>
-            Deserializes the <see cref="T:System.Xml.Linq.XNode"/> from a JSON string.
-            </summary>
-            <param name="value">The JSON string.</param>
-            <returns>The deserialized <see cref="T:System.Xml.Linq.XNode"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.DeserializeXNode(System.String,System.String)">
-            <summary>
-            Deserializes the <see cref="T:System.Xml.Linq.XNode"/> from a JSON string nested in a root element specified by <paramref name="deserializeRootElementName"/>.
-            </summary>
-            <param name="value">The JSON string.</param>
-            <param name="deserializeRootElementName">The name of the root element to append when deserializing.</param>
-            <returns>The deserialized <see cref="T:System.Xml.Linq.XNode"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.DeserializeXNode(System.String,System.String,System.Boolean)">
-            <summary>
-            Deserializes the <see cref="T:System.Xml.Linq.XNode"/> from a JSON string nested in a root element specified by <paramref name="deserializeRootElementName"/>
-            and writes a Json.NET array attribute for collections.
-            </summary>
-            <param name="value">The JSON string.</param>
-            <param name="deserializeRootElementName">The name of the root element to append when deserializing.</param>
-            <param name="writeArrayAttribute">
-            A value to indicate whether to write the Json.NET array attribute.
-            This attribute helps preserve arrays when converting the written XML back to JSON.
-            </param>
-            <returns>The deserialized <see cref="T:System.Xml.Linq.XNode"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConvert.DeserializeXNode(System.String,System.String,System.Boolean,System.Boolean)">
-            <summary>
-            Deserializes the <see cref="T:System.Xml.Linq.XNode"/> from a JSON string nested in a root element specified by <paramref name="deserializeRootElementName"/>,
-            writes a Json.NET array attribute for collections, and encodes special characters.
-            </summary>
-            <param name="value">The JSON string.</param>
-            <param name="deserializeRootElementName">The name of the root element to append when deserializing.</param>
-            <param name="writeArrayAttribute">
-            A value to indicate whether to write the Json.NET array attribute.
-            This attribute helps preserve arrays when converting the written XML back to JSON.
-            </param>
-            <param name="encodeSpecialCharacters">
-            A value to indicate whether to encode special characters when converting JSON to XML.
-            If <c>true</c>, special characters like ':', '@', '?', '#' and '$' in JSON property names aren't used to specify
-            XML namespaces, attributes or processing directives. Instead special characters are encoded and written
-            as part of the XML element name.
-            </param>
-            <returns>The deserialized <see cref="T:System.Xml.Linq.XNode"/>.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonConverter">
-            <summary>
-            Converts an object to and from JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonConverter.CanRead">
-            <summary>
-            Gets a value indicating whether this <see cref="T:Newtonsoft.Json.JsonConverter"/> can read JSON.
-            </summary>
-            <value><c>true</c> if this <see cref="T:Newtonsoft.Json.JsonConverter"/> can read JSON; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonConverter.CanWrite">
-            <summary>
-            Gets a value indicating whether this <see cref="T:Newtonsoft.Json.JsonConverter"/> can write JSON.
-            </summary>
-            <value><c>true</c> if this <see cref="T:Newtonsoft.Json.JsonConverter"/> can write JSON; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonConverter`1">
-            <summary>
-            Converts an object to and from JSON.
-            </summary>
-            <typeparam name="T">The object type to convert.</typeparam>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter`1.WriteJson(Newtonsoft.Json.JsonWriter,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter`1.WriteJson(Newtonsoft.Json.JsonWriter,`0,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Writes the JSON representation of the object.
-            </summary>
-            <param name="writer">The <see cref="T:Newtonsoft.Json.JsonWriter"/> to write to.</param>
-            <param name="value">The value.</param>
-            <param name="serializer">The calling serializer.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter`1.ReadJson(Newtonsoft.Json.JsonReader,System.Type,System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter`1.ReadJson(Newtonsoft.Json.JsonReader,System.Type,`0,System.Boolean,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Reads the JSON representation of the object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from.</param>
-            <param name="objectType">Type of the object.</param>
-            <param name="existingValue">The existing value of object being read. If there is no existing value then <c>null</c> will be used.</param>
-            <param name="hasExistingValue">The existing value has a value.</param>
-            <param name="serializer">The calling serializer.</param>
-            <returns>The object value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverter`1.CanConvert(System.Type)">
-            <summary>
-            Determines whether this instance can convert the specified object type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>
-            	<c>true</c> if this instance can convert the specified object type; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonConverterAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> to use the specified <see cref="T:Newtonsoft.Json.JsonConverter"/> when serializing the member or class.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonConverterAttribute.ConverterType">
-            <summary>
-            Gets the <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.JsonConverter"/>.
-            </summary>
-            <value>The <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.JsonConverter"/>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonConverterAttribute.ConverterParameters">
-            <summary>
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.JsonConverter"/> described by <see cref="P:Newtonsoft.Json.JsonConverterAttribute.ConverterType"/>.
-            If <c>null</c>, the default constructor is used.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverterAttribute.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonConverterAttribute"/> class.
-            </summary>
-            <param name="converterType">Type of the <see cref="T:Newtonsoft.Json.JsonConverter"/>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonConverterAttribute.#ctor(System.Type,System.Object[])">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonConverterAttribute"/> class.
-            </summary>
-            <param name="converterType">Type of the <see cref="T:Newtonsoft.Json.JsonConverter"/>.</param>
-            <param name="converterParameters">Parameter list to use when constructing the <see cref="T:Newtonsoft.Json.JsonConverter"/>. Can be <c>null</c>.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonConverterCollection">
-            <summary>
-            Represents a collection of <see cref="T:Newtonsoft.Json.JsonConverter"/>.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonDictionaryAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> how to serialize the collection.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonDictionaryAttribute.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonDictionaryAttribute"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonDictionaryAttribute.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonDictionaryAttribute"/> class with the specified container Id.
-            </summary>
-            <param name="id">The container Id.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonException">
-            <summary>
-            The exception thrown when an error occurs during JSON serialization or deserialization.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonException.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonException"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonException.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonException"/> class
-            with a specified error message.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonException.#ctor(System.String,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonException"/> class
-            with a specified error message and a reference to the inner exception that is the cause of this exception.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonException"/> class.
-            </summary>
-            <param name="info">The <see cref="T:System.Runtime.Serialization.SerializationInfo"/> that holds the serialized object data about the exception being thrown.</param>
-            <param name="context">The <see cref="T:System.Runtime.Serialization.StreamingContext"/> that contains contextual information about the source or destination.</param>
-            <exception cref="T:System.ArgumentNullException">The <paramref name="info"/> parameter is <c>null</c>.</exception>
-            <exception cref="T:System.Runtime.Serialization.SerializationException">The class name is <c>null</c> or <see cref="P:System.Exception.HResult"/> is zero (0).</exception>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonExtensionDataAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> to deserialize properties with no matching class member into the specified collection
-            and write values during serialization.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonExtensionDataAttribute.WriteData">
-            <summary>
-            Gets or sets a value that indicates whether to write extension data when serializing the object.
-            </summary>
-            <value>
-            	<c>true</c> to write extension data when serializing the object; otherwise, <c>false</c>. The default is <c>true</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonExtensionDataAttribute.ReadData">
-            <summary>
-            Gets or sets a value that indicates whether to read extension data when deserializing the object.
-            </summary>
-            <value>
-            	<c>true</c> to read extension data when deserializing the object; otherwise, <c>false</c>. The default is <c>true</c>.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonExtensionDataAttribute.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonExtensionDataAttribute"/> class.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonIgnoreAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> not to serialize the public field or public read/write property value.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonNameTable">
-            <summary>
-            Base class for a table of atomized string objects.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonNameTable.Get(System.Char[],System.Int32,System.Int32)">
-            <summary>
-            Gets a string containing the same characters as the specified range of characters in the given array.
-            </summary>
-            <param name="key">The character array containing the name to find.</param>
-            <param name="start">The zero-based index into the array specifying the first character of the name.</param>
-            <param name="length">The number of characters in the name.</param>
-            <returns>A string containing the same characters as the specified range of characters in the given array.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonObjectAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> how to serialize the object.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonObjectAttribute.MemberSerialization">
-            <summary>
-            Gets or sets the member serialization.
-            </summary>
-            <value>The member serialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonObjectAttribute.MissingMemberHandling">
-            <summary>
-            Gets or sets the missing member handling used when deserializing this object.
-            </summary>
-            <value>The missing member handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonObjectAttribute.ItemNullValueHandling">
-            <summary>
-            Gets or sets how the object's properties with null values are handled during serialization and deserialization.
-            </summary>
-            <value>How the object's properties with null values are handled during serialization and deserialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonObjectAttribute.ItemRequired">
-            <summary>
-            Gets or sets a value that indicates whether the object's properties are required.
-            </summary>
-            <value>
-            	A value indicating whether the object's properties are required.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonObjectAttribute.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonObjectAttribute"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonObjectAttribute.#ctor(Newtonsoft.Json.MemberSerialization)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonObjectAttribute"/> class with the specified member serialization.
-            </summary>
-            <param name="memberSerialization">The member serialization.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonObjectAttribute.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonObjectAttribute"/> class with the specified container Id.
-            </summary>
-            <param name="id">The container Id.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonPropertyAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> to always serialize the member with the specified name.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ItemConverterType">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.JsonConverter"/> type used when serializing the property's collection items.
-            </summary>
-            <value>The collection's items <see cref="T:Newtonsoft.Json.JsonConverter"/> type.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ItemConverterParameters">
-            <summary>
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.JsonConverter"/> described by <see cref="P:Newtonsoft.Json.JsonPropertyAttribute.ItemConverterType"/>.
-            If <c>null</c>, the default constructor is used.
-            When non-<c>null</c>, there must be a constructor defined in the <see cref="T:Newtonsoft.Json.JsonConverter"/> that exactly matches the number,
-            order, and type of these parameters.
-            </summary>
-            <example>
-            <code>
-            [JsonProperty(ItemConverterType = typeof(MyContainerConverter), ItemConverterParameters = new object[] { 123, "Four" })]
-            </code>
-            </example>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.NamingStrategyType">
-            <summary>
-            Gets or sets the <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/>.
-            </summary>
-            <value>The <see cref="T:System.Type"/> of the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.NamingStrategyParameters">
-            <summary>
-            The parameter list to use when constructing the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> described by <see cref="P:Newtonsoft.Json.JsonPropertyAttribute.NamingStrategyType"/>.
-            If <c>null</c>, the default constructor is used.
-            When non-<c>null</c>, there must be a constructor defined in the <see cref="T:Newtonsoft.Json.Serialization.NamingStrategy"/> that exactly matches the number,
-            order, and type of these parameters.
-            </summary>
-            <example>
-            <code>
-            [JsonProperty(NamingStrategyType = typeof(MyNamingStrategy), NamingStrategyParameters = new object[] { 123, "Four" })]
-            </code>
-            </example>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.NullValueHandling">
-            <summary>
-            Gets or sets the null value handling used when serializing this property.
-            </summary>
-            <value>The null value handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.DefaultValueHandling">
-            <summary>
-            Gets or sets the default value handling used when serializing this property.
-            </summary>
-            <value>The default value handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ReferenceLoopHandling">
-            <summary>
-            Gets or sets the reference loop handling used when serializing this property.
-            </summary>
-            <value>The reference loop handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ObjectCreationHandling">
-            <summary>
-            Gets or sets the object creation handling used when deserializing this property.
-            </summary>
-            <value>The object creation handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.TypeNameHandling">
-            <summary>
-            Gets or sets the type name handling used when serializing this property.
-            </summary>
-            <value>The type name handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.IsReference">
-            <summary>
-            Gets or sets whether this property's value is serialized as a reference.
-            </summary>
-            <value>Whether this property's value is serialized as a reference.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.Order">
-            <summary>
-            Gets or sets the order of serialization of a member.
-            </summary>
-            <value>The numeric order of serialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.Required">
-            <summary>
-            Gets or sets a value indicating whether this property is required.
-            </summary>
-            <value>
-            	A value indicating whether this property is required.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.PropertyName">
-            <summary>
-            Gets or sets the name of the property.
-            </summary>
-            <value>The name of the property.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ItemReferenceLoopHandling">
-            <summary>
-            Gets or sets the reference loop handling used when serializing the property's collection items.
-            </summary>
-            <value>The collection's items reference loop handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ItemTypeNameHandling">
-            <summary>
-            Gets or sets the type name handling used when serializing the property's collection items.
-            </summary>
-            <value>The collection's items type name handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonPropertyAttribute.ItemIsReference">
-            <summary>
-            Gets or sets whether this property's collection items are serialized as a reference.
-            </summary>
-            <value>Whether this property's collection items are serialized as a reference.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonPropertyAttribute.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonPropertyAttribute.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/> class with the specified name.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonReader">
-            <summary>
-            Represents a reader that provides fast, non-cached, forward-only access to serialized JSON data.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns <c>true</c> if the next token was read successfully; <c>false</c> if there are no more tokens to read.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.SkipAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously skips the children of the current token.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsBooleanAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsBytesAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Byte"/>[].
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Byte"/>[]. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDateTimeAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDateTimeOffsetAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDecimalAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDoubleAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsInt32Async(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsStringAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.String"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.String"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonReader.State">
-            <summary>
-            Specifies the state of the reader.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Start">
-            <summary>
-            A <see cref="T:Newtonsoft.Json.JsonReader"/> read method has not been called.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Complete">
-            <summary>
-            The end of the file has been reached successfully.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Property">
-            <summary>
-            Reader is at a property.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.ObjectStart">
-            <summary>
-            Reader is at the start of an object.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Object">
-            <summary>
-            Reader is in an object.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.ArrayStart">
-            <summary>
-            Reader is at the start of an array.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Array">
-            <summary>
-            Reader is in an array.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Closed">
-            <summary>
-            The <see cref="M:Newtonsoft.Json.JsonReader.Close"/> method has been called.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.PostValue">
-            <summary>
-            Reader has just read a value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.ConstructorStart">
-            <summary>
-            Reader is at the start of a constructor.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Constructor">
-            <summary>
-            Reader is in a constructor.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Error">
-            <summary>
-            An error occurred that prevents the read operation from continuing.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonReader.State.Finished">
-            <summary>
-            The end of the file has been reached successfully.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.CurrentState">
-            <summary>
-            Gets the current reader state.
-            </summary>
-            <value>The current reader state.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.CloseInput">
-            <summary>
-            Gets or sets a value indicating whether the source should be closed when this reader is closed.
-            </summary>
-            <value>
-            <c>true</c> to close the source when this reader is closed; otherwise <c>false</c>. The default is <c>true</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.SupportMultipleContent">
-            <summary>
-            Gets or sets a value indicating whether multiple pieces of JSON content can
-            be read from a continuous stream without erroring.
-            </summary>
-            <value>
-            <c>true</c> to support reading multiple pieces of JSON content; otherwise <c>false</c>.
-            The default is <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.QuoteChar">
-            <summary>
-            Gets the quotation mark character used to enclose the value of a string.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.DateTimeZoneHandling">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> time zones are handled when reading JSON.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.DateParseHandling">
-            <summary>
-            Gets or sets how date formatted strings, e.g. "\/Date(1198908717056)\/" and "2012-03-21T05:40Z", are parsed when reading JSON.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.FloatParseHandling">
-            <summary>
-            Gets or sets how floating point numbers, e.g. 1.0 and 9.9, are parsed when reading JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.DateFormatString">
-            <summary>
-            Gets or sets how custom date formatted strings are parsed when reading JSON.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.MaxDepth">
-            <summary>
-            Gets or sets the maximum depth allowed when reading JSON. Reading past this depth will throw a <see cref="T:Newtonsoft.Json.JsonReaderException"/>.
-            A null value means there is no maximum. 
-            The default value is <c>128</c>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.TokenType">
-            <summary>
-            Gets the type of the current JSON token. 
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.Value">
-            <summary>
-            Gets the text value of the current JSON token.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.ValueType">
-            <summary>
-            Gets the .NET type for the current JSON token.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.Depth">
-            <summary>
-            Gets the depth of the current token in the JSON document.
-            </summary>
-            <value>The depth of the current token in the JSON document.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.Path">
-            <summary>
-            Gets the path of the current JSON token. 
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReader.Culture">
-            <summary>
-            Gets or sets the culture used when reading JSON. Defaults to <see cref="P:System.Globalization.CultureInfo.InvariantCulture"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonReader"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.Read">
-            <summary>
-            Reads the next JSON token from the source.
-            </summary>
-            <returns><c>true</c> if the next token was read successfully; <c>false</c> if there are no more tokens to read.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsInt32">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsString">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.String"/>.
-            </summary>
-            <returns>A <see cref="T:System.String"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsBytes">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Byte"/>[].
-            </summary>
-            <returns>A <see cref="T:System.Byte"/>[] or <c>null</c> if the next JSON token is null. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDouble">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsBoolean">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDecimal">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDateTime">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.ReadAsDateTimeOffset">
-            <summary>
-            Reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.Skip">
-            <summary>
-            Skips the children of the current token.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.SetToken(Newtonsoft.Json.JsonToken)">
-            <summary>
-            Sets the current token.
-            </summary>
-            <param name="newToken">The new token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.SetToken(Newtonsoft.Json.JsonToken,System.Object)">
-            <summary>
-            Sets the current token and value.
-            </summary>
-            <param name="newToken">The new token.</param>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.SetToken(Newtonsoft.Json.JsonToken,System.Object,System.Boolean)">
-            <summary>
-            Sets the current token and value.
-            </summary>
-            <param name="newToken">The new token.</param>
-            <param name="value">The value.</param>
-            <param name="updateIndex">A flag indicating whether the position index inside an array should be updated.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.SetStateBasedOnCurrent">
-            <summary>
-            Sets the state based on current token type.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.Dispose(System.Boolean)">
-            <summary>
-            Releases unmanaged and - optionally - managed resources.
-            </summary>
-            <param name="disposing"><c>true</c> to release both managed and unmanaged resources; <c>false</c> to release only unmanaged resources.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReader.Close">
-            <summary>
-            Changes the reader's state to <see cref="F:Newtonsoft.Json.JsonReader.State.Closed"/>.
-            If <see cref="P:Newtonsoft.Json.JsonReader.CloseInput"/> is set to <c>true</c>, the source is also closed.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonReaderException">
-            <summary>
-            The exception thrown when an error occurs while reading JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReaderException.LineNumber">
-            <summary>
-            Gets the line number indicating where the error occurred.
-            </summary>
-            <value>The line number indicating where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReaderException.LinePosition">
-            <summary>
-            Gets the line position indicating where the error occurred.
-            </summary>
-            <value>The line position indicating where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonReaderException.Path">
-            <summary>
-            Gets the path to the JSON where the error occurred.
-            </summary>
-            <value>The path to the JSON where the error occurred.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReaderException.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonReaderException"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReaderException.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonReaderException"/> class
-            with a specified error message.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReaderException.#ctor(System.String,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonReaderException"/> class
-            with a specified error message and a reference to the inner exception that is the cause of this exception.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReaderException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonReaderException"/> class.
-            </summary>
-            <param name="info">The <see cref="T:System.Runtime.Serialization.SerializationInfo"/> that holds the serialized object data about the exception being thrown.</param>
-            <param name="context">The <see cref="T:System.Runtime.Serialization.StreamingContext"/> that contains contextual information about the source or destination.</param>
-            <exception cref="T:System.ArgumentNullException">The <paramref name="info"/> parameter is <c>null</c>.</exception>
-            <exception cref="T:System.Runtime.Serialization.SerializationException">The class name is <c>null</c> or <see cref="P:System.Exception.HResult"/> is zero (0).</exception>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonReaderException.#ctor(System.String,System.String,System.Int32,System.Int32,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonReaderException"/> class
-            with a specified error message, JSON path, line number, line position, and a reference to the inner exception that is the cause of this exception.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="path">The path to the JSON where the error occurred.</param>
-            <param name="lineNumber">The line number indicating where the error occurred.</param>
-            <param name="linePosition">The line position indicating where the error occurred.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonRequiredAttribute">
-            <summary>
-            Instructs the <see cref="T:Newtonsoft.Json.JsonSerializer"/> to always serialize the member, and to require that the member has a value.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonSerializationException">
-            <summary>
-            The exception thrown when an error occurs during JSON serialization or deserialization.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializationException.LineNumber">
-            <summary>
-            Gets the line number indicating where the error occurred.
-            </summary>
-            <value>The line number indicating where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializationException.LinePosition">
-            <summary>
-            Gets the line position indicating where the error occurred.
-            </summary>
-            <value>The line position indicating where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializationException.Path">
-            <summary>
-            Gets the path to the JSON where the error occurred.
-            </summary>
-            <value>The path to the JSON where the error occurred.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializationException.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializationException"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializationException.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializationException"/> class
-            with a specified error message.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializationException.#ctor(System.String,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializationException"/> class
-            with a specified error message and a reference to the inner exception that is the cause of this exception.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializationException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializationException"/> class.
-            </summary>
-            <param name="info">The <see cref="T:System.Runtime.Serialization.SerializationInfo"/> that holds the serialized object data about the exception being thrown.</param>
-            <param name="context">The <see cref="T:System.Runtime.Serialization.StreamingContext"/> that contains contextual information about the source or destination.</param>
-            <exception cref="T:System.ArgumentNullException">The <paramref name="info"/> parameter is <c>null</c>.</exception>
-            <exception cref="T:System.Runtime.Serialization.SerializationException">The class name is <c>null</c> or <see cref="P:System.Exception.HResult"/> is zero (0).</exception>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializationException.#ctor(System.String,System.String,System.Int32,System.Int32,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializationException"/> class
-            with a specified error message, JSON path, line number, line position, and a reference to the inner exception that is the cause of this exception.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="path">The path to the JSON where the error occurred.</param>
-            <param name="lineNumber">The line number indicating where the error occurred.</param>
-            <param name="linePosition">The line position indicating where the error occurred.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonSerializer">
-            <summary>
-            Serializes and deserializes objects into and from the JSON format.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> enables you to control how objects are encoded into JSON.
-            </summary>
-        </member>
-        <member name="E:Newtonsoft.Json.JsonSerializer.Error">
-            <summary>
-            Occurs when the <see cref="T:Newtonsoft.Json.JsonSerializer"/> errors during serialization and deserialization.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.ReferenceResolver">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.IReferenceResolver"/> used by the serializer when resolving references.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.Binder">
-            <summary>
-            Gets or sets the <see cref="P:Newtonsoft.Json.JsonSerializer.SerializationBinder"/> used by the serializer when resolving type names.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.SerializationBinder">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.ISerializationBinder"/> used by the serializer when resolving type names.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.TraceWriter">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.ITraceWriter"/> used by the serializer when writing trace messages.
-            </summary>
-            <value>The trace writer.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.EqualityComparer">
-            <summary>
-            Gets or sets the equality comparer used by the serializer when comparing references.
-            </summary>
-            <value>The equality comparer.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.TypeNameHandling">
-            <summary>
-            Gets or sets how type name writing and reading is handled by the serializer.
-            The default value is <see cref="F:Newtonsoft.Json.TypeNameHandling.None" />.
-            </summary>
-            <remarks>
-            <see cref="P:Newtonsoft.Json.JsonSerializer.TypeNameHandling"/> should be used with caution when your application deserializes JSON from an external source.
-            Incoming types should be validated with a custom <see cref="P:Newtonsoft.Json.JsonSerializer.SerializationBinder"/>
-            when deserializing with a value other than <see cref="F:Newtonsoft.Json.TypeNameHandling.None"/>.
-            </remarks>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.TypeNameAssemblyFormat">
-            <summary>
-            Gets or sets how a type name assembly is written and resolved by the serializer.
-            The default value is <see cref="F:System.Runtime.Serialization.Formatters.FormatterAssemblyStyle.Simple" />.
-            </summary>
-            <value>The type name assembly format.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.TypeNameAssemblyFormatHandling">
-            <summary>
-            Gets or sets how a type name assembly is written and resolved by the serializer.
-            The default value is <see cref="F:Newtonsoft.Json.TypeNameAssemblyFormatHandling.Simple" />.
-            </summary>
-            <value>The type name assembly format.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.PreserveReferencesHandling">
-            <summary>
-            Gets or sets how object references are preserved by the serializer.
-            The default value is <see cref="F:Newtonsoft.Json.PreserveReferencesHandling.None" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.ReferenceLoopHandling">
-            <summary>
-            Gets or sets how reference loops (e.g. a class referencing itself) is handled.
-            The default value is <see cref="F:Newtonsoft.Json.ReferenceLoopHandling.Error" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.MissingMemberHandling">
-            <summary>
-            Gets or sets how missing members (e.g. JSON contains a property that isn't a member on the object) are handled during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.MissingMemberHandling.Ignore" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.NullValueHandling">
-            <summary>
-            Gets or sets how null values are handled during serialization and deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.NullValueHandling.Include" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.DefaultValueHandling">
-            <summary>
-            Gets or sets how default values are handled during serialization and deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.DefaultValueHandling.Include" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.ObjectCreationHandling">
-            <summary>
-            Gets or sets how objects are created during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.ObjectCreationHandling.Auto" />.
-            </summary>
-            <value>The object creation handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.ConstructorHandling">
-            <summary>
-            Gets or sets how constructors are used during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.ConstructorHandling.Default" />.
-            </summary>
-            <value>The constructor handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.MetadataPropertyHandling">
-            <summary>
-            Gets or sets how metadata properties are used during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.MetadataPropertyHandling.Default" />.
-            </summary>
-            <value>The metadata properties handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.Converters">
-            <summary>
-            Gets a collection <see cref="T:Newtonsoft.Json.JsonConverter"/> that will be used during serialization.
-            </summary>
-            <value>Collection <see cref="T:Newtonsoft.Json.JsonConverter"/> that will be used during serialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.ContractResolver">
-            <summary>
-            Gets or sets the contract resolver used by the serializer when
-            serializing .NET objects to JSON and vice versa.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.Context">
-            <summary>
-            Gets or sets the <see cref="T:System.Runtime.Serialization.StreamingContext"/> used by the serializer when invoking serialization callback methods.
-            </summary>
-            <value>The context.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.Formatting">
-            <summary>
-            Indicates how JSON text output is formatted.
-            The default value is <see cref="F:Newtonsoft.Json.Formatting.None" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.DateFormatHandling">
-            <summary>
-            Gets or sets how dates are written to JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.DateFormatHandling.IsoDateFormat" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.DateTimeZoneHandling">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> time zones are handled during serialization and deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.DateTimeZoneHandling.RoundtripKind" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.DateParseHandling">
-            <summary>
-            Gets or sets how date formatted strings, e.g. <c>"\/Date(1198908717056)\/"</c> and <c>"2012-03-21T05:40Z"</c>, are parsed when reading JSON.
-            The default value is <see cref="F:Newtonsoft.Json.DateParseHandling.DateTime" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.FloatParseHandling">
-            <summary>
-            Gets or sets how floating point numbers, e.g. 1.0 and 9.9, are parsed when reading JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.FloatParseHandling.Double" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.FloatFormatHandling">
-            <summary>
-            Gets or sets how special floating point numbers, e.g. <see cref="F:System.Double.NaN"/>,
-            <see cref="F:System.Double.PositiveInfinity"/> and <see cref="F:System.Double.NegativeInfinity"/>,
-            are written as JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.FloatFormatHandling.String" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.StringEscapeHandling">
-            <summary>
-            Gets or sets how strings are escaped when writing JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.StringEscapeHandling.Default" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.DateFormatString">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> and <see cref="T:System.DateTimeOffset"/> values are formatted when writing JSON text,
-            and the expected date format when reading JSON text.
-            The default value is <c>"yyyy'-'MM'-'dd'T'HH':'mm':'ss.FFFFFFFK"</c>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.Culture">
-            <summary>
-            Gets or sets the culture used when reading JSON.
-            The default value is <see cref="P:System.Globalization.CultureInfo.InvariantCulture"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.MaxDepth">
-            <summary>
-            Gets or sets the maximum depth allowed when reading JSON. Reading past this depth will throw a <see cref="T:Newtonsoft.Json.JsonReaderException"/>.
-            A null value means there is no maximum.
-            The default value is <c>128</c>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializer.CheckAdditionalContent">
-            <summary>
-            Gets a value indicating whether there will be a check for additional JSON content after deserializing an object.
-            The default value is <c>false</c>.
-            </summary>
-            <value>
-            	<c>true</c> if there will be a check for additional JSON content after deserializing an object; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializer"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Create">
-            <summary>
-            Creates a new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will not use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/>.
-            </summary>
-            <returns>
-            A new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will not use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Create(Newtonsoft.Json.JsonSerializerSettings)">
-            <summary>
-            Creates a new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance using the specified <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will not use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/>.
-            </summary>
-            <param name="settings">The settings to be applied to the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.</param>
-            <returns>
-            A new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance using the specified <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will not use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.CreateDefault">
-            <summary>
-            Creates a new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/>.
-            </summary>
-            <returns>
-            A new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.CreateDefault(Newtonsoft.Json.JsonSerializerSettings)">
-            <summary>
-            Creates a new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance using the specified <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/> as well as the specified <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            </summary>
-            <param name="settings">The settings to be applied to the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.</param>
-            <returns>
-            A new <see cref="T:Newtonsoft.Json.JsonSerializer"/> instance using the specified <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            The <see cref="T:Newtonsoft.Json.JsonSerializer"/> will use default settings 
-            from <see cref="P:Newtonsoft.Json.JsonConvert.DefaultSettings"/> as well as the specified <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Populate(System.IO.TextReader,System.Object)">
-            <summary>
-            Populates the JSON values onto the target object.
-            </summary>
-            <param name="reader">The <see cref="T:System.IO.TextReader"/> that contains the JSON structure to read values from.</param>
-            <param name="target">The target object to populate values onto.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Populate(Newtonsoft.Json.JsonReader,System.Object)">
-            <summary>
-            Populates the JSON values onto the target object.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> that contains the JSON structure to read values from.</param>
-            <param name="target">The target object to populate values onto.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Deserialize(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Deserializes the JSON structure contained by the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> that contains the JSON structure to deserialize.</param>
-            <returns>The <see cref="T:System.Object"/> being deserialized.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Deserialize(System.IO.TextReader,System.Type)">
-            <summary>
-            Deserializes the JSON structure contained by the specified <see cref="T:System.IO.TextReader"/>
-            into an instance of the specified type.
-            </summary>
-            <param name="reader">The <see cref="T:System.IO.TextReader"/> containing the object.</param>
-            <param name="objectType">The <see cref="T:System.Type"/> of object being deserialized.</param>
-            <returns>The instance of <paramref name="objectType"/> being deserialized.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Deserialize``1(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Deserializes the JSON structure contained by the specified <see cref="T:Newtonsoft.Json.JsonReader"/>
-            into an instance of the specified type.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> containing the object.</param>
-            <typeparam name="T">The type of the object to deserialize.</typeparam>
-            <returns>The instance of <typeparamref name="T"/> being deserialized.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Deserialize(Newtonsoft.Json.JsonReader,System.Type)">
-            <summary>
-            Deserializes the JSON structure contained by the specified <see cref="T:Newtonsoft.Json.JsonReader"/>
-            into an instance of the specified type.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> containing the object.</param>
-            <param name="objectType">The <see cref="T:System.Type"/> of object being deserialized.</param>
-            <returns>The instance of <paramref name="objectType"/> being deserialized.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Serialize(System.IO.TextWriter,System.Object)">
-            <summary>
-            Serializes the specified <see cref="T:System.Object"/> and writes the JSON structure
-            using the specified <see cref="T:System.IO.TextWriter"/>.
-            </summary>
-            <param name="textWriter">The <see cref="T:System.IO.TextWriter"/> used to write the JSON structure.</param>
-            <param name="value">The <see cref="T:System.Object"/> to serialize.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Serialize(Newtonsoft.Json.JsonWriter,System.Object,System.Type)">
-            <summary>
-            Serializes the specified <see cref="T:System.Object"/> and writes the JSON structure
-            using the specified <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="jsonWriter">The <see cref="T:Newtonsoft.Json.JsonWriter"/> used to write the JSON structure.</param>
-            <param name="value">The <see cref="T:System.Object"/> to serialize.</param>
-            <param name="objectType">
-            The type of the value being serialized.
-            This parameter is used when <see cref="P:Newtonsoft.Json.JsonSerializer.TypeNameHandling"/> is <see cref="F:Newtonsoft.Json.TypeNameHandling.Auto"/> to write out the type name if the type of the value does not match.
-            Specifying the type is optional.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Serialize(System.IO.TextWriter,System.Object,System.Type)">
-            <summary>
-            Serializes the specified <see cref="T:System.Object"/> and writes the JSON structure
-            using the specified <see cref="T:System.IO.TextWriter"/>.
-            </summary>
-            <param name="textWriter">The <see cref="T:System.IO.TextWriter"/> used to write the JSON structure.</param>
-            <param name="value">The <see cref="T:System.Object"/> to serialize.</param>
-            <param name="objectType">
-            The type of the value being serialized.
-            This parameter is used when <see cref="P:Newtonsoft.Json.JsonSerializer.TypeNameHandling"/> is Auto to write out the type name if the type of the value does not match.
-            Specifying the type is optional.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializer.Serialize(Newtonsoft.Json.JsonWriter,System.Object)">
-            <summary>
-            Serializes the specified <see cref="T:System.Object"/> and writes the JSON structure
-            using the specified <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="jsonWriter">The <see cref="T:Newtonsoft.Json.JsonWriter"/> used to write the JSON structure.</param>
-            <param name="value">The <see cref="T:System.Object"/> to serialize.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonSerializerSettings">
-            <summary>
-            Specifies the settings on a <see cref="T:Newtonsoft.Json.JsonSerializer"/> object.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.ReferenceLoopHandling">
-            <summary>
-            Gets or sets how reference loops (e.g. a class referencing itself) are handled.
-            The default value is <see cref="F:Newtonsoft.Json.ReferenceLoopHandling.Error" />.
-            </summary>
-            <value>Reference loop handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.MissingMemberHandling">
-            <summary>
-            Gets or sets how missing members (e.g. JSON contains a property that isn't a member on the object) are handled during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.MissingMemberHandling.Ignore" />.
-            </summary>
-            <value>Missing member handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.ObjectCreationHandling">
-            <summary>
-            Gets or sets how objects are created during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.ObjectCreationHandling.Auto" />.
-            </summary>
-            <value>The object creation handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.NullValueHandling">
-            <summary>
-            Gets or sets how null values are handled during serialization and deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.NullValueHandling.Include" />.
-            </summary>
-            <value>Null value handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.DefaultValueHandling">
-            <summary>
-            Gets or sets how default values are handled during serialization and deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.DefaultValueHandling.Include" />.
-            </summary>
-            <value>The default value handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.Converters">
-            <summary>
-            Gets or sets a <see cref="T:Newtonsoft.Json.JsonConverter"/> collection that will be used during serialization.
-            </summary>
-            <value>The converters.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.PreserveReferencesHandling">
-            <summary>
-            Gets or sets how object references are preserved by the serializer.
-            The default value is <see cref="F:Newtonsoft.Json.PreserveReferencesHandling.None" />.
-            </summary>
-            <value>The preserve references handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.TypeNameHandling">
-            <summary>
-            Gets or sets how type name writing and reading is handled by the serializer.
-            The default value is <see cref="F:Newtonsoft.Json.TypeNameHandling.None" />.
-            </summary>
-            <remarks>
-            <see cref="P:Newtonsoft.Json.JsonSerializerSettings.TypeNameHandling"/> should be used with caution when your application deserializes JSON from an external source.
-            Incoming types should be validated with a custom <see cref="P:Newtonsoft.Json.JsonSerializerSettings.SerializationBinder"/>
-            when deserializing with a value other than <see cref="F:Newtonsoft.Json.TypeNameHandling.None"/>.
-            </remarks>
-            <value>The type name handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.MetadataPropertyHandling">
-            <summary>
-            Gets or sets how metadata properties are used during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.MetadataPropertyHandling.Default" />.
-            </summary>
-            <value>The metadata properties handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.TypeNameAssemblyFormat">
-            <summary>
-            Gets or sets how a type name assembly is written and resolved by the serializer.
-            The default value is <see cref="F:System.Runtime.Serialization.Formatters.FormatterAssemblyStyle.Simple" />.
-            </summary>
-            <value>The type name assembly format.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.TypeNameAssemblyFormatHandling">
-            <summary>
-            Gets or sets how a type name assembly is written and resolved by the serializer.
-            The default value is <see cref="F:Newtonsoft.Json.TypeNameAssemblyFormatHandling.Simple" />.
-            </summary>
-            <value>The type name assembly format.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.ConstructorHandling">
-            <summary>
-            Gets or sets how constructors are used during deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.ConstructorHandling.Default" />.
-            </summary>
-            <value>The constructor handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.ContractResolver">
-            <summary>
-            Gets or sets the contract resolver used by the serializer when
-            serializing .NET objects to JSON and vice versa.
-            </summary>
-            <value>The contract resolver.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.EqualityComparer">
-            <summary>
-            Gets or sets the equality comparer used by the serializer when comparing references.
-            </summary>
-            <value>The equality comparer.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.ReferenceResolver">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.IReferenceResolver"/> used by the serializer when resolving references.
-            </summary>
-            <value>The reference resolver.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.ReferenceResolverProvider">
-            <summary>
-            Gets or sets a function that creates the <see cref="T:Newtonsoft.Json.Serialization.IReferenceResolver"/> used by the serializer when resolving references.
-            </summary>
-            <value>A function that creates the <see cref="T:Newtonsoft.Json.Serialization.IReferenceResolver"/> used by the serializer when resolving references.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.TraceWriter">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.ITraceWriter"/> used by the serializer when writing trace messages.
-            </summary>
-            <value>The trace writer.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.Binder">
-            <summary>
-            Gets or sets the <see cref="P:Newtonsoft.Json.JsonSerializerSettings.SerializationBinder"/> used by the serializer when resolving type names.
-            </summary>
-            <value>The binder.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.SerializationBinder">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.ISerializationBinder"/> used by the serializer when resolving type names.
-            </summary>
-            <value>The binder.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.Error">
-            <summary>
-            Gets or sets the error handler called during serialization and deserialization.
-            </summary>
-            <value>The error handler called during serialization and deserialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.Context">
-            <summary>
-            Gets or sets the <see cref="T:System.Runtime.Serialization.StreamingContext"/> used by the serializer when invoking serialization callback methods.
-            </summary>
-            <value>The context.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.DateFormatString">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> and <see cref="T:System.DateTimeOffset"/> values are formatted when writing JSON text,
-            and the expected date format when reading JSON text.
-            The default value is <c>"yyyy'-'MM'-'dd'T'HH':'mm':'ss.FFFFFFFK"</c>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.MaxDepth">
-            <summary>
-            Gets or sets the maximum depth allowed when reading JSON. Reading past this depth will throw a <see cref="T:Newtonsoft.Json.JsonReaderException"/>.
-            A null value means there is no maximum.
-            The default value is <c>128</c>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.Formatting">
-            <summary>
-            Indicates how JSON text output is formatted.
-            The default value is <see cref="F:Newtonsoft.Json.Formatting.None" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.DateFormatHandling">
-            <summary>
-            Gets or sets how dates are written to JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.DateFormatHandling.IsoDateFormat" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.DateTimeZoneHandling">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> time zones are handled during serialization and deserialization.
-            The default value is <see cref="F:Newtonsoft.Json.DateTimeZoneHandling.RoundtripKind" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.DateParseHandling">
-            <summary>
-            Gets or sets how date formatted strings, e.g. <c>"\/Date(1198908717056)\/"</c> and <c>"2012-03-21T05:40Z"</c>, are parsed when reading JSON.
-            The default value is <see cref="F:Newtonsoft.Json.DateParseHandling.DateTime" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.FloatFormatHandling">
-            <summary>
-            Gets or sets how special floating point numbers, e.g. <see cref="F:System.Double.NaN"/>,
-            <see cref="F:System.Double.PositiveInfinity"/> and <see cref="F:System.Double.NegativeInfinity"/>,
-            are written as JSON.
-            The default value is <see cref="F:Newtonsoft.Json.FloatFormatHandling.String" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.FloatParseHandling">
-            <summary>
-            Gets or sets how floating point numbers, e.g. 1.0 and 9.9, are parsed when reading JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.FloatParseHandling.Double" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.StringEscapeHandling">
-            <summary>
-            Gets or sets how strings are escaped when writing JSON text.
-            The default value is <see cref="F:Newtonsoft.Json.StringEscapeHandling.Default" />.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.Culture">
-            <summary>
-            Gets or sets the culture used when reading JSON.
-            The default value is <see cref="P:System.Globalization.CultureInfo.InvariantCulture"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonSerializerSettings.CheckAdditionalContent">
-            <summary>
-            Gets a value indicating whether there will be a check for additional content after deserializing an object.
-            The default value is <c>false</c>.
-            </summary>
-            <value>
-            	<c>true</c> if there will be a check for additional content after deserializing an object; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonSerializerSettings.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonSerializerSettings"/> class.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonTextReader">
-            <summary>
-            Represents a reader that provides fast, non-cached, forward-only access to JSON text data.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns <c>true</c> if the next token was read successfully; <c>false</c> if there are no more tokens to read.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsBooleanAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsBytesAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Byte"/>[].
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Byte"/>[]. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDateTimeAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDateTimeOffsetAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDecimalAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDoubleAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsInt32Async(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsStringAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously reads the next JSON token from the source as a <see cref="T:System.String"/>.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous read. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns the <see cref="T:System.String"/>. This result will be <c>null</c> at the end of an array.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.#ctor(System.IO.TextReader)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonTextReader"/> class with the specified <see cref="T:System.IO.TextReader"/>.
-            </summary>
-            <param name="reader">The <see cref="T:System.IO.TextReader"/> containing the JSON data to read.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextReader.PropertyNameTable">
-            <summary>
-            Gets or sets the reader's property name table.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextReader.ArrayPool">
-            <summary>
-            Gets or sets the reader's character buffer pool.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.Read">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/>.
-            </summary>
-            <returns>
-            <c>true</c> if the next token was read successfully; <c>false</c> if there are no more tokens to read.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsInt32">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDateTime">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsString">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.String"/>.
-            </summary>
-            <returns>A <see cref="T:System.String"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsBytes">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Byte"/>[].
-            </summary>
-            <returns>A <see cref="T:System.Byte"/>[] or <c>null</c> if the next JSON token is null. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsBoolean">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDateTimeOffset">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDecimal">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.ReadAsDouble">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:System.IO.TextReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.Close">
-            <summary>
-            Changes the reader's state to <see cref="F:Newtonsoft.Json.JsonReader.State.Closed"/>.
-            If <see cref="P:Newtonsoft.Json.JsonReader.CloseInput"/> is set to <c>true</c>, the underlying <see cref="T:System.IO.TextReader"/> is also closed.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextReader.HasLineInfo">
-            <summary>
-            Gets a value indicating whether the class can return line information.
-            </summary>
-            <returns>
-            	<c>true</c> if <see cref="P:Newtonsoft.Json.JsonTextReader.LineNumber"/> and <see cref="P:Newtonsoft.Json.JsonTextReader.LinePosition"/> can be provided; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextReader.LineNumber">
-            <summary>
-            Gets the current line number.
-            </summary>
-            <value>
-            The current line number or 0 if no line information is available (for example, <see cref="M:Newtonsoft.Json.JsonTextReader.HasLineInfo"/> returns <c>false</c>).
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextReader.LinePosition">
-            <summary>
-            Gets the current line position.
-            </summary>
-            <value>
-            The current line position or 0 if no line information is available (for example, <see cref="M:Newtonsoft.Json.JsonTextReader.HasLineInfo"/> returns <c>false</c>).
-            </value>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonTextWriter">
-            <summary>
-            Represents a writer that provides a fast, non-cached, forward-only way of generating JSON data.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.FlushAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously flushes whatever is in the buffer to the destination and also flushes the destination.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueDelimiterAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the JSON value delimiter.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteEndAsync(Newtonsoft.Json.JsonToken,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the specified end token.
-            </summary>
-            <param name="token">The end token to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.CloseAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously closes this writer.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.CloseOutput"/> is set to <c>true</c>, the destination is also closed.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteEndAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of the current JSON object or array.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteIndentAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes indent characters.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteIndentSpaceAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes an indent space.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteRawAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes raw JSON without changing the writer's state.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteNullAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a null value.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WritePropertyNameAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the property name of a name/value pair of a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WritePropertyNameAsync(System.String,System.Boolean,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the property name of a name/value pair of a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-            <param name="escape">A flag to indicate whether the text should be escaped when it is written as a JSON property name.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteStartArrayAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the beginning of a JSON array.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteStartObjectAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the beginning of a JSON object.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteStartConstructorAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the start of a constructor with the given name.
-            </summary>
-            <param name="name">The name of the constructor.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteUndefinedAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes an undefined value.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteWhitespaceAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the given white space.
-            </summary>
-            <param name="ws">The string of white space characters.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Boolean,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Boolean},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Boolean"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Byte,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Byte},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Byte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Byte[],System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Byte"/>[] value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/>[] value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Char,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Char"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Char},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Char"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.DateTime,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTime"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.DateTime},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.DateTimeOffset,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTimeOffset"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.DateTimeOffset},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Decimal,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Decimal"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Decimal},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Double,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Double"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Double},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Single,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Single"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Single},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Guid,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Guid"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Guid},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Guid"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Int32,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Int32},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Int64,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Int64},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Object,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Object"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Object"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.SByte,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.SByte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.SByte},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.SByte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Int16,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.Int16},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.String"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.String"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.TimeSpan,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.TimeSpan"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.TimeSpan},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.TimeSpan"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.UInt32,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.UInt32},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt32"/> value.
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-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.UInt64,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.UInt64"/> value.
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-            <param name="value">The <see cref="T:System.UInt64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.UInt64},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt64"/> value.
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-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Uri,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Uri"/> value.
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-            <param name="value">The <see cref="T:System.Uri"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.UInt16,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.UInt16"/> value.
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-            <param name="value">The <see cref="T:System.UInt16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueAsync(System.Nullable{System.UInt16},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteCommentAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a comment <c>/*...*/</c> containing the specified text.
-            </summary>
-            <param name="text">Text to place inside the comment.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteEndArrayAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of an array.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteEndConstructorAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of a constructor.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteEndObjectAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of a JSON object.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteRawValueAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes raw JSON where a value is expected and updates the writer's state.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>Derived classes must override this method to get asynchronous behaviour. Otherwise it will
-            execute synchronously, returning an already-completed task.</remarks>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextWriter.ArrayPool">
-            <summary>
-            Gets or sets the writer's character array pool.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextWriter.Indentation">
-            <summary>
-            Gets or sets how many <see cref="P:Newtonsoft.Json.JsonTextWriter.IndentChar"/>s to write for each level in the hierarchy when <see cref="P:Newtonsoft.Json.JsonWriter.Formatting"/> is set to <see cref="F:Newtonsoft.Json.Formatting.Indented"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextWriter.QuoteChar">
-            <summary>
-            Gets or sets which character to use to quote attribute values.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextWriter.IndentChar">
-            <summary>
-            Gets or sets which character to use for indenting when <see cref="P:Newtonsoft.Json.JsonWriter.Formatting"/> is set to <see cref="F:Newtonsoft.Json.Formatting.Indented"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonTextWriter.QuoteName">
-            <summary>
-            Gets or sets a value indicating whether object names will be surrounded with quotes.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.#ctor(System.IO.TextWriter)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonTextWriter"/> class using the specified <see cref="T:System.IO.TextWriter"/>.
-            </summary>
-            <param name="textWriter">The <see cref="T:System.IO.TextWriter"/> to write to.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.Flush">
-            <summary>
-            Flushes whatever is in the buffer to the underlying <see cref="T:System.IO.TextWriter"/> and also flushes the underlying <see cref="T:System.IO.TextWriter"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.Close">
-            <summary>
-            Closes this writer.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.CloseOutput"/> is set to <c>true</c>, the underlying <see cref="T:System.IO.TextWriter"/> is also closed.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.AutoCompleteOnClose"/> is set to <c>true</c>, the JSON is auto-completed.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteStartObject">
-            <summary>
-            Writes the beginning of a JSON object.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteStartArray">
-            <summary>
-            Writes the beginning of a JSON array.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteStartConstructor(System.String)">
-            <summary>
-            Writes the start of a constructor with the given name.
-            </summary>
-            <param name="name">The name of the constructor.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteEnd(Newtonsoft.Json.JsonToken)">
-            <summary>
-            Writes the specified end token.
-            </summary>
-            <param name="token">The end token to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WritePropertyName(System.String)">
-            <summary>
-            Writes the property name of a name/value pair on a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WritePropertyName(System.String,System.Boolean)">
-            <summary>
-            Writes the property name of a name/value pair on a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-            <param name="escape">A flag to indicate whether the text should be escaped when it is written as a JSON property name.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteIndent">
-            <summary>
-            Writes indent characters.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValueDelimiter">
-            <summary>
-            Writes the JSON value delimiter.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteIndentSpace">
-            <summary>
-            Writes an indent space.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Object)">
-            <summary>
-            Writes a <see cref="T:System.Object"/> value.
-            An error will raised if the value cannot be written as a single JSON token.
-            </summary>
-            <param name="value">The <see cref="T:System.Object"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteNull">
-            <summary>
-            Writes a null value.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteUndefined">
-            <summary>
-            Writes an undefined value.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteRaw(System.String)">
-            <summary>
-            Writes raw JSON.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.String)">
-            <summary>
-            Writes a <see cref="T:System.String"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.String"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Int32)">
-            <summary>
-            Writes a <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.UInt32)">
-            <summary>
-            Writes a <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Int64)">
-            <summary>
-            Writes a <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.UInt64)">
-            <summary>
-            Writes a <see cref="T:System.UInt64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Single)">
-            <summary>
-            Writes a <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Single"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Nullable{System.Single})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Double)">
-            <summary>
-            Writes a <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Double"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Nullable{System.Double})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Boolean)">
-            <summary>
-            Writes a <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Boolean"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Int16)">
-            <summary>
-            Writes a <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.UInt16)">
-            <summary>
-            Writes a <see cref="T:System.UInt16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Char)">
-            <summary>
-            Writes a <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Char"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Byte)">
-            <summary>
-            Writes a <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.SByte)">
-            <summary>
-            Writes a <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.SByte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Decimal)">
-            <summary>
-            Writes a <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Decimal"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.DateTime)">
-            <summary>
-            Writes a <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTime"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Byte[])">
-            <summary>
-            Writes a <see cref="T:System.Byte"/>[] value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/>[] value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.DateTimeOffset)">
-            <summary>
-            Writes a <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTimeOffset"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Guid)">
-            <summary>
-            Writes a <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Guid"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.TimeSpan)">
-            <summary>
-            Writes a <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.TimeSpan"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteValue(System.Uri)">
-            <summary>
-            Writes a <see cref="T:System.Uri"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Uri"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteComment(System.String)">
-            <summary>
-            Writes a comment <c>/*...*/</c> containing the specified text. 
-            </summary>
-            <param name="text">Text to place inside the comment.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonTextWriter.WriteWhitespace(System.String)">
-            <summary>
-            Writes the given white space.
-            </summary>
-            <param name="ws">The string of white space characters.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonToken">
-            <summary>
-            Specifies the type of JSON token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.None">
-            <summary>
-            This is returned by the <see cref="T:Newtonsoft.Json.JsonReader"/> if a read method has not been called.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.StartObject">
-            <summary>
-            An object start token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.StartArray">
-            <summary>
-            An array start token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.StartConstructor">
-            <summary>
-            A constructor start token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.PropertyName">
-            <summary>
-            An object property name.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Comment">
-            <summary>
-            A comment.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Raw">
-            <summary>
-            Raw JSON.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Integer">
-            <summary>
-            An integer.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Float">
-            <summary>
-            A float.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.String">
-            <summary>
-            A string.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Boolean">
-            <summary>
-            A boolean.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Null">
-            <summary>
-            A null token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Undefined">
-            <summary>
-            An undefined token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.EndObject">
-            <summary>
-            An object end token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.EndArray">
-            <summary>
-            An array end token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.EndConstructor">
-            <summary>
-            A constructor end token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Date">
-            <summary>
-            A Date.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.JsonToken.Bytes">
-            <summary>
-            Byte data.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonValidatingReader">
-            <summary>
-            <para>
-            Represents a reader that provides <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> validation.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="E:Newtonsoft.Json.JsonValidatingReader.ValidationEventHandler">
-            <summary>
-            Sets an event handler for receiving schema validation errors.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.Value">
-            <summary>
-            Gets the text value of the current JSON token.
-            </summary>
-            <value></value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.Depth">
-            <summary>
-            Gets the depth of the current token in the JSON document.
-            </summary>
-            <value>The depth of the current token in the JSON document.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.Path">
-            <summary>
-            Gets the path of the current JSON token. 
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.QuoteChar">
-            <summary>
-            Gets the quotation mark character used to enclose the value of a string.
-            </summary>
-            <value></value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.TokenType">
-            <summary>
-            Gets the type of the current JSON token.
-            </summary>
-            <value></value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.ValueType">
-            <summary>
-            Gets the .NET type for the current JSON token.
-            </summary>
-            <value></value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.#ctor(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonValidatingReader"/> class that
-            validates the content returned from the given <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read from while validating.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.Schema">
-            <summary>
-            Gets or sets the schema.
-            </summary>
-            <value>The schema.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonValidatingReader.Reader">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.JsonReader"/> used to construct this <see cref="T:Newtonsoft.Json.JsonValidatingReader"/>.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.JsonReader"/> specified in the constructor.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.Close">
-            <summary>
-            Changes the reader's state to <see cref="F:Newtonsoft.Json.JsonReader.State.Closed"/>.
-            If <see cref="P:Newtonsoft.Json.JsonReader.CloseInput"/> is set to <c>true</c>, the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> is also closed.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsInt32">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsBytes">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Byte"/>[].
-            </summary>
-            <returns>
-            A <see cref="T:System.Byte"/>[] or <c>null</c> if the next JSON token is null.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsDecimal">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsDouble">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsBoolean">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsString">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.String"/>.
-            </summary>
-            <returns>A <see cref="T:System.String"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsDateTime">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/>. This method will return <c>null</c> at the end of an array.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.ReadAsDateTimeOffset">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/> as a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-            <returns>A <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonValidatingReader.Read">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <returns>
-            <c>true</c> if the next token was read successfully; <c>false</c> if there are no more tokens to read.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonWriter">
-            <summary>
-            Represents a writer that provides a fast, non-cached, forward-only way of generating JSON data.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.CloseAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously closes this writer.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.CloseOutput"/> is set to <c>true</c>, the destination is also closed.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.FlushAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously flushes whatever is in the buffer to the destination and also flushes the destination.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndAsync(Newtonsoft.Json.JsonToken,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the specified end token.
-            </summary>
-            <param name="token">The end token to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteIndentAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes indent characters.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueDelimiterAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the JSON value delimiter.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteIndentSpaceAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes an indent space.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteRawAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes raw JSON without changing the writer's state.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of the current JSON object or array.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndArrayAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of an array.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndConstructorAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of a constructor.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndObjectAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the end of a JSON object.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteNullAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a null value.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WritePropertyNameAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the property name of a name/value pair of a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WritePropertyNameAsync(System.String,System.Boolean,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the property name of a name/value pair of a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-            <param name="escape">A flag to indicate whether the text should be escaped when it is written as a JSON property name.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteStartArrayAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the beginning of a JSON array.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteCommentAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a comment <c>/*...*/</c> containing the specified text.
-            </summary>
-            <param name="text">Text to place inside the comment.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteRawValueAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes raw JSON where a value is expected and updates the writer's state.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteStartConstructorAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the start of a constructor with the given name.
-            </summary>
-            <param name="name">The name of the constructor.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteStartObjectAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the beginning of a JSON object.
-            </summary>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteTokenAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the current <see cref="T:Newtonsoft.Json.JsonReader"/> token.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read the token from.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteTokenAsync(Newtonsoft.Json.JsonReader,System.Boolean,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the current <see cref="T:Newtonsoft.Json.JsonReader"/> token.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read the token from.</param>
-            <param name="writeChildren">A flag indicating whether the current token's children should be written.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteTokenAsync(Newtonsoft.Json.JsonToken,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the <see cref="T:Newtonsoft.Json.JsonToken"/> token and its value.
-            </summary>
-            <param name="token">The <see cref="T:Newtonsoft.Json.JsonToken"/> to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteTokenAsync(Newtonsoft.Json.JsonToken,System.Object,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the <see cref="T:Newtonsoft.Json.JsonToken"/> token and its value.
-            </summary>
-            <param name="token">The <see cref="T:Newtonsoft.Json.JsonToken"/> to write.</param>
-            <param name="value">
-            The value to write.
-            A value is only required for tokens that have an associated value, e.g. the <see cref="T:System.String"/> property name for <see cref="F:Newtonsoft.Json.JsonToken.PropertyName"/>.
-            <c>null</c> can be passed to the method for tokens that don't have a value, e.g. <see cref="F:Newtonsoft.Json.JsonToken.StartObject"/>.
-            </param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Boolean,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Boolean},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Boolean"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Byte,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Byte},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Byte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Byte[],System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Byte"/>[] value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/>[] value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Char,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Char"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Char},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Char"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.DateTime,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTime"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.DateTime},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.DateTimeOffset,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTimeOffset"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.DateTimeOffset},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Decimal,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Decimal"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Decimal},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Double,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Double"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Double},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Single,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Single"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Single},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Guid,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Guid"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Guid},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Guid"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Int32,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Int32},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Int64,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Int64},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Object,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Object"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Object"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.SByte,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.SByte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.SByte},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.SByte"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Int16,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.Int16},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.String"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.String"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.TimeSpan,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.TimeSpan"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.TimeSpan},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.TimeSpan"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.UInt32,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.UInt32},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt32"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.UInt64,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.UInt64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.UInt64},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt64"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Uri,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Uri"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Uri"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.UInt16,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.UInt16"/> value.
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-            <param name="value">The <see cref="T:System.UInt16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueAsync(System.Nullable{System.UInt16},System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt16"/> value.
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-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt16"/> value to write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteUndefinedAsync(System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes an undefined value.
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-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteWhitespaceAsync(System.String,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously writes the given white space.
-            </summary>
-            <param name="ws">The string of white space characters.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.SetWriteStateAsync(Newtonsoft.Json.JsonToken,System.Object,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously ets the state of the <see cref="T:Newtonsoft.Json.JsonWriter"/>.
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-            <param name="token">The <see cref="T:Newtonsoft.Json.JsonToken"/> being written.</param>
-            <param name="value">The value being written.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous operation.</returns>
-            <remarks>The default behaviour is to execute synchronously, returning an already-completed task. Derived
-            classes can override this behaviour for true asynchronicity.</remarks>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.CloseOutput">
-            <summary>
-            Gets or sets a value indicating whether the destination should be closed when this writer is closed.
-            </summary>
-            <value>
-            <c>true</c> to close the destination when this writer is closed; otherwise <c>false</c>. The default is <c>true</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.AutoCompleteOnClose">
-            <summary>
-            Gets or sets a value indicating whether the JSON should be auto-completed when this writer is closed.
-            </summary>
-            <value>
-            <c>true</c> to auto-complete the JSON when this writer is closed; otherwise <c>false</c>. The default is <c>true</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.Top">
-            <summary>
-            Gets the top.
-            </summary>
-            <value>The top.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.WriteState">
-            <summary>
-            Gets the state of the writer.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.Path">
-            <summary>
-            Gets the path of the writer. 
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.Formatting">
-            <summary>
-            Gets or sets a value indicating how JSON text output should be formatted.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.DateFormatHandling">
-            <summary>
-            Gets or sets how dates are written to JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.DateTimeZoneHandling">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> time zones are handled when writing JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.StringEscapeHandling">
-            <summary>
-            Gets or sets how strings are escaped when writing JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.FloatFormatHandling">
-            <summary>
-            Gets or sets how special floating point numbers, e.g. <see cref="F:System.Double.NaN"/>,
-            <see cref="F:System.Double.PositiveInfinity"/> and <see cref="F:System.Double.NegativeInfinity"/>,
-            are written to JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.DateFormatString">
-            <summary>
-            Gets or sets how <see cref="T:System.DateTime"/> and <see cref="T:System.DateTimeOffset"/> values are formatted when writing JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriter.Culture">
-            <summary>
-            Gets or sets the culture used when writing JSON. Defaults to <see cref="P:System.Globalization.CultureInfo.InvariantCulture"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonWriter"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.Flush">
-            <summary>
-            Flushes whatever is in the buffer to the destination and also flushes the destination.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.Close">
-            <summary>
-            Closes this writer.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.CloseOutput"/> is set to <c>true</c>, the destination is also closed.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.AutoCompleteOnClose"/> is set to <c>true</c>, the JSON is auto-completed.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteStartObject">
-            <summary>
-            Writes the beginning of a JSON object.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndObject">
-            <summary>
-            Writes the end of a JSON object.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteStartArray">
-            <summary>
-            Writes the beginning of a JSON array.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndArray">
-            <summary>
-            Writes the end of an array.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteStartConstructor(System.String)">
-            <summary>
-            Writes the start of a constructor with the given name.
-            </summary>
-            <param name="name">The name of the constructor.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEndConstructor">
-            <summary>
-            Writes the end constructor.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WritePropertyName(System.String)">
-            <summary>
-            Writes the property name of a name/value pair of a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WritePropertyName(System.String,System.Boolean)">
-            <summary>
-            Writes the property name of a name/value pair of a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-            <param name="escape">A flag to indicate whether the text should be escaped when it is written as a JSON property name.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEnd">
-            <summary>
-            Writes the end of the current JSON object or array.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteToken(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Writes the current <see cref="T:Newtonsoft.Json.JsonReader"/> token and its children.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read the token from.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteToken(Newtonsoft.Json.JsonReader,System.Boolean)">
-            <summary>
-            Writes the current <see cref="T:Newtonsoft.Json.JsonReader"/> token.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> to read the token from.</param>
-            <param name="writeChildren">A flag indicating whether the current token's children should be written.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteToken(Newtonsoft.Json.JsonToken,System.Object)">
-            <summary>
-            Writes the <see cref="T:Newtonsoft.Json.JsonToken"/> token and its value.
-            </summary>
-            <param name="token">The <see cref="T:Newtonsoft.Json.JsonToken"/> to write.</param>
-            <param name="value">
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-            A value is only required for tokens that have an associated value, e.g. the <see cref="T:System.String"/> property name for <see cref="F:Newtonsoft.Json.JsonToken.PropertyName"/>.
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-        <member name="M:Newtonsoft.Json.JsonWriter.WriteToken(Newtonsoft.Json.JsonToken)">
-            <summary>
-            Writes the <see cref="T:Newtonsoft.Json.JsonToken"/> token.
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-            <param name="token">The <see cref="T:Newtonsoft.Json.JsonToken"/> to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteEnd(Newtonsoft.Json.JsonToken)">
-            <summary>
-            Writes the specified end token.
-            </summary>
-            <param name="token">The end token to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteIndent">
-            <summary>
-            Writes indent characters.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValueDelimiter">
-            <summary>
-            Writes the JSON value delimiter.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteIndentSpace">
-            <summary>
-            Writes an indent space.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteNull">
-            <summary>
-            Writes a null value.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteUndefined">
-            <summary>
-            Writes an undefined value.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteRaw(System.String)">
-            <summary>
-            Writes raw JSON without changing the writer's state.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteRawValue(System.String)">
-            <summary>
-            Writes raw JSON where a value is expected and updates the writer's state.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.String)">
-            <summary>
-            Writes a <see cref="T:System.String"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.String"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Int32)">
-            <summary>
-            Writes a <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.UInt32)">
-            <summary>
-            Writes a <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Int64)">
-            <summary>
-            Writes a <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.UInt64)">
-            <summary>
-            Writes a <see cref="T:System.UInt64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Single)">
-            <summary>
-            Writes a <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Single"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Double)">
-            <summary>
-            Writes a <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Double"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Boolean)">
-            <summary>
-            Writes a <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Boolean"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Int16)">
-            <summary>
-            Writes a <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.UInt16)">
-            <summary>
-            Writes a <see cref="T:System.UInt16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Char)">
-            <summary>
-            Writes a <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Char"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Byte)">
-            <summary>
-            Writes a <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.SByte)">
-            <summary>
-            Writes a <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.SByte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Decimal)">
-            <summary>
-            Writes a <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Decimal"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.DateTime)">
-            <summary>
-            Writes a <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTime"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.DateTimeOffset)">
-            <summary>
-            Writes a <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTimeOffset"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Guid)">
-            <summary>
-            Writes a <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Guid"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.TimeSpan)">
-            <summary>
-            Writes a <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.TimeSpan"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Int32})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.UInt32})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Int64})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.UInt64})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Single})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Single"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Double})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Double"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Boolean})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Int16})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Int16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.UInt16})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.UInt16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Char})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Char"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Byte})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Byte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.SByte})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.SByte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Decimal})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Decimal"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.DateTime})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTime"/> value to write.</param>
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-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.DateTimeOffset})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.DateTimeOffset"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.Guid})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.Guid"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Nullable{System.TimeSpan})">
-            <summary>
-            Writes a <see cref="T:System.Nullable`1"/> of <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Nullable`1"/> of <see cref="T:System.TimeSpan"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Byte[])">
-            <summary>
-            Writes a <see cref="T:System.Byte"/>[] value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/>[] value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Uri)">
-            <summary>
-            Writes a <see cref="T:System.Uri"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Uri"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteValue(System.Object)">
-            <summary>
-            Writes a <see cref="T:System.Object"/> value.
-            An error will raised if the value cannot be written as a single JSON token.
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-            <param name="value">The <see cref="T:System.Object"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteComment(System.String)">
-            <summary>
-            Writes a comment <c>/*...*/</c> containing the specified text.
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-            <param name="text">Text to place inside the comment.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.WriteWhitespace(System.String)">
-            <summary>
-            Writes the given white space.
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-            <param name="ws">The string of white space characters.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.Dispose(System.Boolean)">
-            <summary>
-            Releases unmanaged and - optionally - managed resources.
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-            <param name="disposing"><c>true</c> to release both managed and unmanaged resources; <c>false</c> to release only unmanaged resources.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriter.SetWriteState(Newtonsoft.Json.JsonToken,System.Object)">
-            <summary>
-            Sets the state of the <see cref="T:Newtonsoft.Json.JsonWriter"/>.
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-            <param name="token">The <see cref="T:Newtonsoft.Json.JsonToken"/> being written.</param>
-            <param name="value">The value being written.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.JsonWriterException">
-            <summary>
-            The exception thrown when an error occurs while writing JSON text.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.JsonWriterException.Path">
-            <summary>
-            Gets the path to the JSON where the error occurred.
-            </summary>
-            <value>The path to the JSON where the error occurred.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriterException.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonWriterException"/> class.
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-        <member name="M:Newtonsoft.Json.JsonWriterException.#ctor(System.String)">
-            <summary>
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-            <param name="message">The error message that explains the reason for the exception.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriterException.#ctor(System.String,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonWriterException"/> class
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-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriterException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
-            <summary>
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-            </summary>
-            <param name="info">The <see cref="T:System.Runtime.Serialization.SerializationInfo"/> that holds the serialized object data about the exception being thrown.</param>
-            <param name="context">The <see cref="T:System.Runtime.Serialization.StreamingContext"/> that contains contextual information about the source or destination.</param>
-            <exception cref="T:System.ArgumentNullException">The <paramref name="info"/> parameter is <c>null</c>.</exception>
-            <exception cref="T:System.Runtime.Serialization.SerializationException">The class name is <c>null</c> or <see cref="P:System.Exception.HResult"/> is zero (0).</exception>
-        </member>
-        <member name="M:Newtonsoft.Json.JsonWriterException.#ctor(System.String,System.String,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.JsonWriterException"/> class
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-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="path">The path to the JSON where the error occurred.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.CommentHandling">
-            <summary>
-            Specifies how JSON comments are handled when loading JSON.
-            </summary>
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-        <member name="F:Newtonsoft.Json.Linq.CommentHandling.Ignore">
-            <summary>
-            Ignore comments.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.CommentHandling.Load">
-            <summary>
-            Load comments as a <see cref="T:Newtonsoft.Json.Linq.JValue"/> with type <see cref="F:Newtonsoft.Json.Linq.JTokenType.Comment"/>.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.DuplicatePropertyNameHandling">
-            <summary>
-            Specifies how duplicate property names are handled when loading JSON.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.DuplicatePropertyNameHandling.Replace">
-            <summary>
-            Replace the existing value when there is a duplicate property. The value of the last property in the JSON object will be used.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.DuplicatePropertyNameHandling.Ignore">
-            <summary>
-            Ignore the new value when there is a duplicate property. The value of the first property in the JSON object will be used.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.DuplicatePropertyNameHandling.Error">
-            <summary>
-            Throw a <see cref="T:Newtonsoft.Json.JsonReaderException"/> when a duplicate property is encountered.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.Extensions">
-            <summary>
-            Contains the LINQ to JSON extension methods.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Ancestors``1(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Returns a collection of tokens that contains the ancestors of every token in the source collection.
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-            <typeparam name="T">The type of the objects in source, constrained to <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
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-        <member name="M:Newtonsoft.Json.Linq.Extensions.AncestorsAndSelf``1(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
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-            <typeparam name="T">The type of the objects in source, constrained to <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains every token in the source collection, the ancestors of every token in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Descendants``1(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Returns a collection of tokens that contains the descendants of every token in the source collection.
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-            <typeparam name="T">The type of the objects in source, constrained to <see cref="T:Newtonsoft.Json.Linq.JContainer"/>.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the descendants of every token in the source collection.</returns>
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-        <member name="M:Newtonsoft.Json.Linq.Extensions.DescendantsAndSelf``1(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Returns a collection of tokens that contains every token in the source collection, and the descendants of every token in the source collection.
-            </summary>
-            <typeparam name="T">The type of the objects in source, constrained to <see cref="T:Newtonsoft.Json.Linq.JContainer"/>.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains every token in the source collection, and the descendants of every token in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Properties(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JObject})">
-            <summary>
-            Returns a collection of child properties of every object in the source collection.
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-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JObject"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JProperty"/> that contains the properties of every object in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Values(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JToken},System.Object)">
-            <summary>
-            Returns a collection of child values of every object in the source collection with the given key.
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-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <param name="key">The token key.</param>
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-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Values(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JToken})">
-            <summary>
-            Returns a collection of child values of every object in the source collection.
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-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the values of every token in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Values``1(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JToken},System.Object)">
-            <summary>
-            Returns a collection of converted child values of every object in the source collection with the given key.
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-            <typeparam name="U">The type to convert the values to.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <param name="key">The token key.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> that contains the converted values of every token in the source collection with the given key.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Values``1(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JToken})">
-            <summary>
-            Returns a collection of converted child values of every object in the source collection.
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-            <typeparam name="U">The type to convert the values to.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> that contains the converted values of every token in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Value``1(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JToken})">
-            <summary>
-            Converts the value.
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-            <typeparam name="U">The type to convert the value to.</typeparam>
-            <param name="value">A <see cref="T:Newtonsoft.Json.Linq.JToken"/> cast as a <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</param>
-            <returns>A converted value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Value``2(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Converts the value.
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-            <typeparam name="U">The type to convert the value to.</typeparam>
-            <param name="value">A <see cref="T:Newtonsoft.Json.Linq.JToken"/> cast as a <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</param>
-            <returns>A converted value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Children``1(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Returns a collection of child tokens of every array in the source collection.
-            </summary>
-            <typeparam name="T">The source collection type.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the values of every token in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.Children``2(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Returns a collection of converted child tokens of every array in the source collection.
-            </summary>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <typeparam name="U">The type to convert the values to.</typeparam>
-            <typeparam name="T">The source collection type.</typeparam>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> that contains the converted values of every token in the source collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.AsJEnumerable(System.Collections.Generic.IEnumerable{Newtonsoft.Json.Linq.JToken})">
-            <summary>
-            Returns the input typed as <see cref="T:Newtonsoft.Json.Linq.IJEnumerable`1"/>.
-            </summary>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>The input typed as <see cref="T:Newtonsoft.Json.Linq.IJEnumerable`1"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.Extensions.AsJEnumerable``1(System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Returns the input typed as <see cref="T:Newtonsoft.Json.Linq.IJEnumerable`1"/>.
-            </summary>
-            <typeparam name="T">The source collection type.</typeparam>
-            <param name="source">An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the source collection.</param>
-            <returns>The input typed as <see cref="T:Newtonsoft.Json.Linq.IJEnumerable`1"/>.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.IJEnumerable`1">
-            <summary>
-            Represents a collection of <see cref="T:Newtonsoft.Json.Linq.JToken"/> objects.
-            </summary>
-            <typeparam name="T">The type of token.</typeparam>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.IJEnumerable`1.Item(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.IJEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.
-            </summary>
-            <value></value>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JArray">
-            <summary>
-            Represents a JSON array.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\LinqToJsonTests.cs" region="LinqToJsonCreateParseArray" title="Parsing a JSON Array from Text" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.WriteToAsync(Newtonsoft.Json.JsonWriter,System.Threading.CancellationToken,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.LoadAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JArray"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>. 
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> representing the asynchronous load. The <see cref="P:System.Threading.Tasks.Task`1.Result"/> property contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.LoadAsync(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JArray"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>. 
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> representing the asynchronous load. The <see cref="P:System.Threading.Tasks.Task`1.Result"/> property contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JArray.ChildrenTokens">
-            <summary>
-            Gets the container's children tokens.
-            </summary>
-            <value>The container's children tokens.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JArray.Type">
-            <summary>
-            Gets the node type for this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JArray"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.#ctor(Newtonsoft.Json.Linq.JArray)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JArray"/> class from another <see cref="T:Newtonsoft.Json.Linq.JArray"/> object.
-            </summary>
-            <param name="other">A <see cref="T:Newtonsoft.Json.Linq.JArray"/> object to copy from.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.#ctor(System.Object[])">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JArray"/> class with the specified content.
-            </summary>
-            <param name="content">The contents of the array.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.#ctor(System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JArray"/> class with the specified content.
-            </summary>
-            <param name="content">The contents of the array.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Load(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Loads an <see cref="T:Newtonsoft.Json.Linq.JArray"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>. 
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JArray"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Load(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings)">
-            <summary>
-            Loads an <see cref="T:Newtonsoft.Json.Linq.JArray"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>. 
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JArray"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Parse(System.String)">
-            <summary>
-            Load a <see cref="T:Newtonsoft.Json.Linq.JArray"/> from a string that contains JSON.
-            </summary>
-            <param name="json">A <see cref="T:System.String"/> that contains JSON.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JArray"/> populated from the string that contains JSON.</returns>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\LinqToJsonTests.cs" region="LinqToJsonCreateParseArray" title="Parsing a JSON Array from Text" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Parse(System.String,Newtonsoft.Json.Linq.JsonLoadSettings)">
-            <summary>
-            Load a <see cref="T:Newtonsoft.Json.Linq.JArray"/> from a string that contains JSON.
-            </summary>
-            <param name="json">A <see cref="T:System.String"/> that contains JSON.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JArray"/> populated from the string that contains JSON.</returns>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\LinqToJsonTests.cs" region="LinqToJsonCreateParseArray" title="Parsing a JSON Array from Text" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.FromObject(System.Object)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JArray"/> from an object.
-            </summary>
-            <param name="o">The object that will be used to create <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JArray"/> with the values of the specified object.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.FromObject(System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JArray"/> from an object.
-            </summary>
-            <param name="o">The object that will be used to create <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <param name="jsonSerializer">The <see cref="T:Newtonsoft.Json.JsonSerializer"/> that will be used to read the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JArray"/> with the values of the specified object.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JArray.Item(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JArray.Item(System.Int32)">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> at the specified index.
-            </summary>
-            <value></value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.IndexOf(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Determines the index of a specific item in the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </summary>
-            <param name="item">The object to locate in the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <returns>
-            The index of <paramref name="item"/> if found in the list; otherwise, -1.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Insert(System.Int32,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Inserts an item to the <see cref="T:Newtonsoft.Json.Linq.JArray"/> at the specified index.
-            </summary>
-            <param name="index">The zero-based index at which <paramref name="item"/> should be inserted.</param>
-            <param name="item">The object to insert into the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <exception cref="T:System.ArgumentOutOfRangeException">
-            <paramref name="index"/> is not a valid index in the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </exception>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.RemoveAt(System.Int32)">
-            <summary>
-            Removes the <see cref="T:Newtonsoft.Json.Linq.JArray"/> item at the specified index.
-            </summary>
-            <param name="index">The zero-based index of the item to remove.</param>
-            <exception cref="T:System.ArgumentOutOfRangeException">
-            <paramref name="index"/> is not a valid index in the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </exception>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.GetEnumerator">
-            <summary>
-            Returns an enumerator that iterates through the collection.
-            </summary>
-            <returns>
-            A <see cref="T:System.Collections.Generic.IEnumerator`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> that can be used to iterate through the collection.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Add(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Adds an item to the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </summary>
-            <param name="item">The object to add to the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Clear">
-            <summary>
-            Removes all items from the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Contains(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Determines whether the <see cref="T:Newtonsoft.Json.Linq.JArray"/> contains a specific value.
-            </summary>
-            <param name="item">The object to locate in the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <returns>
-            <c>true</c> if <paramref name="item"/> is found in the <see cref="T:Newtonsoft.Json.Linq.JArray"/>; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.CopyTo(Newtonsoft.Json.Linq.JToken[],System.Int32)">
-            <summary>
-            Copies the elements of the <see cref="T:Newtonsoft.Json.Linq.JArray"/> to an array, starting at a particular array index.
-            </summary>
-            <param name="array">The array.</param>
-            <param name="arrayIndex">Index of the array.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JArray.IsReadOnly">
-            <summary>
-            Gets a value indicating whether the <see cref="T:Newtonsoft.Json.Linq.JArray"/> is read-only.
-            </summary>
-            <returns><c>true</c> if the <see cref="T:Newtonsoft.Json.Linq.JArray"/> is read-only; otherwise, <c>false</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JArray.Remove(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Removes the first occurrence of a specific object from the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </summary>
-            <param name="item">The object to remove from the <see cref="T:Newtonsoft.Json.Linq.JArray"/>.</param>
-            <returns>
-            <c>true</c> if <paramref name="item"/> was successfully removed from the <see cref="T:Newtonsoft.Json.Linq.JArray"/>; otherwise, <c>false</c>. This method also returns <c>false</c> if <paramref name="item"/> is not found in the original <see cref="T:Newtonsoft.Json.Linq.JArray"/>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JConstructor">
-            <summary>
-            Represents a JSON constructor.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.WriteToAsync(Newtonsoft.Json.JsonWriter,System.Threading.CancellationToken,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.LoadAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/>.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous load. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.LoadAsync(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous load. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JConstructor.ChildrenTokens">
-            <summary>
-            Gets the container's children tokens.
-            </summary>
-            <value>The container's children tokens.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JConstructor.Name">
-            <summary>
-            Gets or sets the name of this constructor.
-            </summary>
-            <value>The constructor name.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JConstructor.Type">
-            <summary>
-            Gets the node type for this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.#ctor(Newtonsoft.Json.Linq.JConstructor)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> class from another <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> object.
-            </summary>
-            <param name="other">A <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> object to copy from.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.#ctor(System.String,System.Object[])">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> class with the specified name and content.
-            </summary>
-            <param name="name">The constructor name.</param>
-            <param name="content">The contents of the constructor.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.#ctor(System.String,System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> class with the specified name and content.
-            </summary>
-            <param name="name">The constructor name.</param>
-            <param name="content">The contents of the constructor.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> class with the specified name.
-            </summary>
-            <param name="name">The constructor name.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JConstructor.Item(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.Load(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Loads a <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/>.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JConstructor.Load(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings)">
-            <summary>
-            Loads a <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JConstructor"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JConstructor"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JContainer">
-            <summary>
-            Represents a token that can contain other tokens.
-            </summary>
-        </member>
-        <member name="E:Newtonsoft.Json.Linq.JContainer.ListChanged">
-            <summary>
-            Occurs when the list changes or an item in the list changes.
-            </summary>
-        </member>
-        <member name="E:Newtonsoft.Json.Linq.JContainer.AddingNew">
-            <summary>
-            Occurs before an item is added to the collection.
-            </summary>
-        </member>
-        <member name="E:Newtonsoft.Json.Linq.JContainer.CollectionChanged">
-            <summary>
-            Occurs when the items list of the collection has changed, or the collection is reset.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JContainer.ChildrenTokens">
-            <summary>
-            Gets the container's children tokens.
-            </summary>
-            <value>The container's children tokens.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.OnAddingNew(System.ComponentModel.AddingNewEventArgs)">
-            <summary>
-            Raises the <see cref="E:Newtonsoft.Json.Linq.JContainer.AddingNew"/> event.
-            </summary>
-            <param name="e">The <see cref="T:System.ComponentModel.AddingNewEventArgs"/> instance containing the event data.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.OnListChanged(System.ComponentModel.ListChangedEventArgs)">
-            <summary>
-            Raises the <see cref="E:Newtonsoft.Json.Linq.JContainer.ListChanged"/> event.
-            </summary>
-            <param name="e">The <see cref="T:System.ComponentModel.ListChangedEventArgs"/> instance containing the event data.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.OnCollectionChanged(System.Collections.Specialized.NotifyCollectionChangedEventArgs)">
-            <summary>
-            Raises the <see cref="E:Newtonsoft.Json.Linq.JContainer.CollectionChanged"/> event.
-            </summary>
-            <param name="e">The <see cref="T:System.Collections.Specialized.NotifyCollectionChangedEventArgs"/> instance containing the event data.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JContainer.HasValues">
-            <summary>
-            Gets a value indicating whether this token has child tokens.
-            </summary>
-            <value>
-            	<c>true</c> if this token has child values; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JContainer.First">
-            <summary>
-            Get the first child token of this token.
-            </summary>
-            <value>
-            A <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the first child token of the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JContainer.Last">
-            <summary>
-            Get the last child token of this token.
-            </summary>
-            <value>
-            A <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the last child token of the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.Children">
-            <summary>
-            Returns a collection of the child tokens of this token, in document order.
-            </summary>
-            <returns>
-            An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the child tokens of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>, in document order.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.Values``1">
-            <summary>
-            Returns a collection of the child values of this token, in document order.
-            </summary>
-            <typeparam name="T">The type to convert the values to.</typeparam>
-            <returns>
-            A <see cref="T:System.Collections.Generic.IEnumerable`1"/> containing the child values of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>, in document order.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.Descendants">
-            <summary>
-            Returns a collection of the descendant tokens for this token in document order.
-            </summary>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the descendant tokens of the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.DescendantsAndSelf">
-            <summary>
-            Returns a collection of the tokens that contain this token, and all descendant tokens of this token, in document order.
-            </summary>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing this token, and all the descendant tokens of the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.Add(System.Object)">
-            <summary>
-            Adds the specified content as children of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <param name="content">The content to be added.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.AddFirst(System.Object)">
-            <summary>
-            Adds the specified content as the first children of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <param name="content">The content to be added.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.CreateWriter">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.JsonWriter"/> that can be used to add tokens to the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <returns>A <see cref="T:Newtonsoft.Json.JsonWriter"/> that is ready to have content written to it.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.ReplaceAll(System.Object)">
-            <summary>
-            Replaces the child nodes of this token with the specified content.
-            </summary>
-            <param name="content">The content.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.RemoveAll">
-            <summary>
-            Removes the child nodes from this token.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.Merge(System.Object)">
-            <summary>
-            Merge the specified content into this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <param name="content">The content to be merged.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JContainer.Merge(System.Object,Newtonsoft.Json.Linq.JsonMergeSettings)">
-            <summary>
-            Merge the specified content into this <see cref="T:Newtonsoft.Json.Linq.JToken"/> using <see cref="T:Newtonsoft.Json.Linq.JsonMergeSettings"/>.
-            </summary>
-            <param name="content">The content to be merged.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonMergeSettings"/> used to merge the content.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JContainer.Count">
-            <summary>
-            Gets the count of child JSON tokens.
-            </summary>
-            <value>The count of child JSON tokens.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JEnumerable`1">
-            <summary>
-            Represents a collection of <see cref="T:Newtonsoft.Json.Linq.JToken"/> objects.
-            </summary>
-            <typeparam name="T">The type of token.</typeparam>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JEnumerable`1.Empty">
-            <summary>
-            An empty collection of <see cref="T:Newtonsoft.Json.Linq.JToken"/> objects.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JEnumerable`1.#ctor(System.Collections.Generic.IEnumerable{`0})">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> struct.
-            </summary>
-            <param name="enumerable">The enumerable.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JEnumerable`1.GetEnumerator">
-            <summary>
-            Returns an enumerator that can be used to iterate through the collection.
-            </summary>
-            <returns>
-            A <see cref="T:System.Collections.Generic.IEnumerator`1"/> that can be used to iterate through the collection.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JEnumerable`1.Item(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.IJEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.
-            </summary>
-            <value></value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JEnumerable`1.Equals(Newtonsoft.Json.Linq.JEnumerable{`0})">
-            <summary>
-            Determines whether the specified <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> is equal to this instance.
-            </summary>
-            <param name="other">The <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> to compare with this instance.</param>
-            <returns>
-            	<c>true</c> if the specified <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> is equal to this instance; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JEnumerable`1.Equals(System.Object)">
-            <summary>
-            Determines whether the specified <see cref="T:System.Object"/> is equal to this instance.
-            </summary>
-            <param name="obj">The <see cref="T:System.Object"/> to compare with this instance.</param>
-            <returns>
-            	<c>true</c> if the specified <see cref="T:System.Object"/> is equal to this instance; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JEnumerable`1.GetHashCode">
-            <summary>
-            Returns a hash code for this instance.
-            </summary>
-            <returns>
-            A hash code for this instance, suitable for use in hashing algorithms and data structures like a hash table. 
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JObject">
-            <summary>
-            Represents a JSON object.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\LinqToJsonTests.cs" region="LinqToJsonCreateParse" title="Parsing a JSON Object from Text" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.WriteToAsync(Newtonsoft.Json.JsonWriter,System.Threading.CancellationToken,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.LoadAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JObject"/>.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous load. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JObject"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.LoadAsync(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JObject"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous load. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JObject"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JObject.ChildrenTokens">
-            <summary>
-            Gets the container's children tokens.
-            </summary>
-            <value>The container's children tokens.</value>
-        </member>
-        <member name="E:Newtonsoft.Json.Linq.JObject.PropertyChanged">
-            <summary>
-            Occurs when a property value changes.
-            </summary>
-        </member>
-        <member name="E:Newtonsoft.Json.Linq.JObject.PropertyChanging">
-            <summary>
-            Occurs when a property value is changing.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JObject"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.#ctor(Newtonsoft.Json.Linq.JObject)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JObject"/> class from another <see cref="T:Newtonsoft.Json.Linq.JObject"/> object.
-            </summary>
-            <param name="other">A <see cref="T:Newtonsoft.Json.Linq.JObject"/> object to copy from.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.#ctor(System.Object[])">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JObject"/> class with the specified content.
-            </summary>
-            <param name="content">The contents of the object.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.#ctor(System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JObject"/> class with the specified content.
-            </summary>
-            <param name="content">The contents of the object.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JObject.Type">
-            <summary>
-            Gets the node type for this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Properties">
-            <summary>
-            Gets an <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JProperty"/> of this object's properties.
-            </summary>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JProperty"/> of this object's properties.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Property(System.String)">
-            <summary>
-            Gets a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> with the specified name.
-            </summary>
-            <param name="name">The property name.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JProperty"/> with the specified name or <c>null</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Property(System.String,System.StringComparison)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JProperty"/> with the specified name.
-            The exact name will be searched for first and if no matching property is found then
-            the <see cref="T:System.StringComparison"/> will be used to match a property.
-            </summary>
-            <param name="name">The property name.</param>
-            <param name="comparison">One of the enumeration values that specifies how the strings will be compared.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JProperty"/> matched with the specified name or <c>null</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.PropertyValues">
-            <summary>
-            Gets a <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> of this object's property values.
-            </summary>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> of this object's property values.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JObject.Item(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JObject.Item(System.String)">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.
-            </summary>
-            <value></value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Load(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Loads a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JObject"/>.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JObject"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-            <exception cref="T:Newtonsoft.Json.JsonReaderException">
-                <paramref name="reader"/> is not valid JSON.
-            </exception>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Load(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings)">
-            <summary>
-            Loads a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JObject"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JObject"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-            <exception cref="T:Newtonsoft.Json.JsonReaderException">
-                <paramref name="reader"/> is not valid JSON.
-            </exception>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Parse(System.String)">
-            <summary>
-            Load a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from a string that contains JSON.
-            </summary>
-            <param name="json">A <see cref="T:System.String"/> that contains JSON.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JObject"/> populated from the string that contains JSON.</returns>
-            <exception cref="T:Newtonsoft.Json.JsonReaderException">
-                <paramref name="json"/> is not valid JSON.
-            </exception>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\LinqToJsonTests.cs" region="LinqToJsonCreateParse" title="Parsing a JSON Object from Text" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Parse(System.String,Newtonsoft.Json.Linq.JsonLoadSettings)">
-            <summary>
-            Load a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from a string that contains JSON.
-            </summary>
-            <param name="json">A <see cref="T:System.String"/> that contains JSON.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JObject"/> populated from the string that contains JSON.</returns>
-            <exception cref="T:Newtonsoft.Json.JsonReaderException">
-                <paramref name="json"/> is not valid JSON.
-            </exception>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\LinqToJsonTests.cs" region="LinqToJsonCreateParse" title="Parsing a JSON Object from Text" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.FromObject(System.Object)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from an object.
-            </summary>
-            <param name="o">The object that will be used to create <see cref="T:Newtonsoft.Json.Linq.JObject"/>.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JObject"/> with the values of the specified object.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.FromObject(System.Object,Newtonsoft.Json.JsonSerializer)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JObject"/> from an object.
-            </summary>
-            <param name="o">The object that will be used to create <see cref="T:Newtonsoft.Json.Linq.JObject"/>.</param>
-            <param name="jsonSerializer">The <see cref="T:Newtonsoft.Json.JsonSerializer"/> that will be used to read the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JObject"/> with the values of the specified object.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.GetValue(System.String)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <returns>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.GetValue(System.String,System.StringComparison)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.
-            The exact property name will be searched for first and if no matching property is found then
-            the <see cref="T:System.StringComparison"/> will be used to match a property.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <param name="comparison">One of the enumeration values that specifies how the strings will be compared.</param>
-            <returns>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.TryGetValue(System.String,System.StringComparison,Newtonsoft.Json.Linq.JToken@)">
-            <summary>
-            Tries to get the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.
-            The exact property name will be searched for first and if no matching property is found then
-            the <see cref="T:System.StringComparison"/> will be used to match a property.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <param name="value">The value.</param>
-            <param name="comparison">One of the enumeration values that specifies how the strings will be compared.</param>
-            <returns><c>true</c> if a value was successfully retrieved; otherwise, <c>false</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Add(System.String,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Adds the specified property name.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.ContainsKey(System.String)">
-            <summary>
-            Determines whether the JSON object has the specified property name.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <returns><c>true</c> if the JSON object has the specified property name; otherwise, <c>false</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.Remove(System.String)">
-            <summary>
-            Removes the property with the specified name.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <returns><c>true</c> if item was successfully removed; otherwise, <c>false</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.TryGetValue(System.String,Newtonsoft.Json.Linq.JToken@)">
-            <summary>
-            Tries to get the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified property name.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <param name="value">The value.</param>
-            <returns><c>true</c> if a value was successfully retrieved; otherwise, <c>false</c>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.GetEnumerator">
-            <summary>
-            Returns an enumerator that can be used to iterate through the collection.
-            </summary>
-            <returns>
-            A <see cref="T:System.Collections.Generic.IEnumerator`1"/> that can be used to iterate through the collection.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.OnPropertyChanged(System.String)">
-            <summary>
-            Raises the <see cref="E:Newtonsoft.Json.Linq.JObject.PropertyChanged"/> event with the provided arguments.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.OnPropertyChanging(System.String)">
-            <summary>
-            Raises the <see cref="E:Newtonsoft.Json.Linq.JObject.PropertyChanging"/> event with the provided arguments.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JObject.GetMetaObject(System.Linq.Expressions.Expression)">
-            <summary>
-            Returns the <see cref="T:System.Dynamic.DynamicMetaObject"/> responsible for binding operations performed on this object.
-            </summary>
-            <param name="parameter">The expression tree representation of the runtime value.</param>
-            <returns>
-            The <see cref="T:System.Dynamic.DynamicMetaObject"/> to bind this object.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JProperty">
-            <summary>
-            Represents a JSON property.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.WriteToAsync(Newtonsoft.Json.JsonWriter,System.Threading.CancellationToken,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.LoadAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/>.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> representing the asynchronous creation. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.LoadAsync(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously loads a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> representing the asynchronous creation. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JProperty.ChildrenTokens">
-            <summary>
-            Gets the container's children tokens.
-            </summary>
-            <value>The container's children tokens.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JProperty.Name">
-            <summary>
-            Gets the property name.
-            </summary>
-            <value>The property name.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JProperty.Value">
-            <summary>
-            Gets or sets the property value.
-            </summary>
-            <value>The property value.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.#ctor(Newtonsoft.Json.Linq.JProperty)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/> class from another <see cref="T:Newtonsoft.Json.Linq.JProperty"/> object.
-            </summary>
-            <param name="other">A <see cref="T:Newtonsoft.Json.Linq.JProperty"/> object to copy from.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JProperty.Type">
-            <summary>
-            Gets the node type for this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.#ctor(System.String,System.Object[])">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/> class.
-            </summary>
-            <param name="name">The property name.</param>
-            <param name="content">The property content.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.#ctor(System.String,System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/> class.
-            </summary>
-            <param name="name">The property name.</param>
-            <param name="content">The property content.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.Load(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Loads a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/>.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JProperty"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JProperty.Load(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings)">
-            <summary>
-            Loads a <see cref="T:Newtonsoft.Json.Linq.JProperty"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> that will be read for the content of the <see cref="T:Newtonsoft.Json.Linq.JProperty"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JProperty"/> that contains the JSON that was read from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JPropertyDescriptor">
-            <summary>
-            Represents a view of a <see cref="T:Newtonsoft.Json.Linq.JProperty"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JPropertyDescriptor.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JPropertyDescriptor"/> class.
-            </summary>
-            <param name="name">The name.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JPropertyDescriptor.CanResetValue(System.Object)">
-            <summary>
-            When overridden in a derived class, returns whether resetting an object changes its value.
-            </summary>
-            <returns>
-            <c>true</c> if resetting the component changes its value; otherwise, <c>false</c>.
-            </returns>
-            <param name="component">The component to test for reset capability.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JPropertyDescriptor.GetValue(System.Object)">
-            <summary>
-            When overridden in a derived class, gets the current value of the property on a component.
-            </summary>
-            <returns>
-            The value of a property for a given component.
-            </returns>
-            <param name="component">The component with the property for which to retrieve the value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JPropertyDescriptor.ResetValue(System.Object)">
-            <summary>
-            When overridden in a derived class, resets the value for this property of the component to the default value.
-            </summary>
-            <param name="component">The component with the property value that is to be reset to the default value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JPropertyDescriptor.SetValue(System.Object,System.Object)">
-            <summary>
-            When overridden in a derived class, sets the value of the component to a different value.
-            </summary>
-            <param name="component">The component with the property value that is to be set.</param>
-            <param name="value">The new value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JPropertyDescriptor.ShouldSerializeValue(System.Object)">
-            <summary>
-            When overridden in a derived class, determines a value indicating whether the value of this property needs to be persisted.
-            </summary>
-            <returns>
-            <c>true</c> if the property should be persisted; otherwise, <c>false</c>.
-            </returns>
-            <param name="component">The component with the property to be examined for persistence.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JPropertyDescriptor.ComponentType">
-            <summary>
-            When overridden in a derived class, gets the type of the component this property is bound to.
-            </summary>
-            <returns>
-            A <see cref="T:System.Type"/> that represents the type of component this property is bound to.
-            When the <see cref="M:System.ComponentModel.PropertyDescriptor.GetValue(System.Object)"/> or
-            <see cref="M:System.ComponentModel.PropertyDescriptor.SetValue(System.Object,System.Object)"/>
-            methods are invoked, the object specified might be an instance of this type.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JPropertyDescriptor.IsReadOnly">
-            <summary>
-            When overridden in a derived class, gets a value indicating whether this property is read-only.
-            </summary>
-            <returns>
-            <c>true</c> if the property is read-only; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JPropertyDescriptor.PropertyType">
-            <summary>
-            When overridden in a derived class, gets the type of the property.
-            </summary>
-            <returns>
-            A <see cref="T:System.Type"/> that represents the type of the property.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JPropertyDescriptor.NameHashCode">
-            <summary>
-            Gets the hash code for the name of the member.
-            </summary>
-            <value></value>
-            <returns>
-            The hash code for the name of the member.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JRaw">
-            <summary>
-            Represents a raw JSON string.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JRaw.CreateAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously creates an instance of <see cref="T:Newtonsoft.Json.Linq.JRaw"/> with the content of the reader's current token.
-            </summary>
-            <param name="reader">The reader.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task`1"/> representing the asynchronous creation. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns an instance of <see cref="T:Newtonsoft.Json.Linq.JRaw"/> with the content of the reader's current token.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JRaw.#ctor(Newtonsoft.Json.Linq.JRaw)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JRaw"/> class from another <see cref="T:Newtonsoft.Json.Linq.JRaw"/> object.
-            </summary>
-            <param name="other">A <see cref="T:Newtonsoft.Json.Linq.JRaw"/> object to copy from.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JRaw.#ctor(System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JRaw"/> class.
-            </summary>
-            <param name="rawJson">The raw json.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JRaw.Create(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Creates an instance of <see cref="T:Newtonsoft.Json.Linq.JRaw"/> with the content of the reader's current token.
-            </summary>
-            <param name="reader">The reader.</param>
-            <returns>An instance of <see cref="T:Newtonsoft.Json.Linq.JRaw"/> with the content of the reader's current token.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JsonLoadSettings">
-            <summary>
-            Specifies the settings used when loading JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JsonLoadSettings.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> class.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonLoadSettings.CommentHandling">
-            <summary>
-            Gets or sets how JSON comments are handled when loading JSON.
-            The default value is <see cref="F:Newtonsoft.Json.Linq.CommentHandling.Ignore" />.
-            </summary>
-            <value>The JSON comment handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonLoadSettings.LineInfoHandling">
-            <summary>
-            Gets or sets how JSON line info is handled when loading JSON.
-            The default value is <see cref="F:Newtonsoft.Json.Linq.LineInfoHandling.Load" />.
-            </summary>
-            <value>The JSON line info handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonLoadSettings.DuplicatePropertyNameHandling">
-            <summary>
-            Gets or sets how duplicate property names in JSON objects are handled when loading JSON.
-            The default value is <see cref="F:Newtonsoft.Json.Linq.DuplicatePropertyNameHandling.Replace" />.
-            </summary>
-            <value>The JSON duplicate property name handling.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JsonMergeSettings">
-            <summary>
-            Specifies the settings used when merging JSON.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JsonMergeSettings.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JsonMergeSettings"/> class.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonMergeSettings.MergeArrayHandling">
-            <summary>
-            Gets or sets the method used when merging JSON arrays.
-            </summary>
-            <value>The method used when merging JSON arrays.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonMergeSettings.MergeNullValueHandling">
-            <summary>
-            Gets or sets how null value properties are merged.
-            </summary>
-            <value>How null value properties are merged.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonMergeSettings.PropertyNameComparison">
-            <summary>
-            Gets or sets the comparison used to match property names while merging.
-            The exact property name will be searched for first and if no matching property is found then
-            the <see cref="T:System.StringComparison"/> will be used to match a property.
-            </summary>
-            <value>The comparison used to match property names while merging.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JsonSelectSettings">
-            <summary>
-            Specifies the settings used when selecting JSON.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonSelectSettings.RegexMatchTimeout">
-            <summary>
-            Gets or sets a timeout that will be used when executing regular expressions.
-            </summary>
-            <value>The timeout that will be used when executing regular expressions.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JsonSelectSettings.ErrorWhenNoMatch">
-            <summary>
-            Gets or sets a flag that indicates whether an error should be thrown if
-            no tokens are found when evaluating part of the expression.
-            </summary>
-            <value>
-            A flag that indicates whether an error should be thrown if
-            no tokens are found when evaluating part of the expression.
-            </value>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JToken">
-            <summary>
-            Represents an abstract JSON token.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.WriteToAsync(Newtonsoft.Json.JsonWriter,System.Threading.CancellationToken,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.WriteToAsync(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.ReadFromAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously creates a <see cref="T:Newtonsoft.Json.Linq.JToken"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">An <see cref="T:Newtonsoft.Json.JsonReader"/> positioned at the token to read into this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous creation. The
-            <see cref="P:System.Threading.Tasks.Task`1.Result"/> property returns a <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains 
-            the token and its descendant tokens
-            that were read from the reader. The runtime type of the token is determined
-            by the token type of the first token encountered in the reader.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.ReadFromAsync(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously creates a <see cref="T:Newtonsoft.Json.Linq.JToken"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">An <see cref="T:Newtonsoft.Json.JsonReader"/> positioned at the token to read into this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous creation. The
-            <see cref="P:System.Threading.Tasks.Task`1.Result"/> property returns a <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains 
-            the token and its descendant tokens
-            that were read from the reader. The runtime type of the token is determined
-            by the token type of the first token encountered in the reader.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.LoadAsync(Newtonsoft.Json.JsonReader,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously creates a <see cref="T:Newtonsoft.Json.Linq.JToken"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> positioned at the token to read into this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous creation. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the token and its descendant tokens
-            that were read from the reader. The runtime type of the token is determined
-            by the token type of the first token encountered in the reader.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.LoadAsync(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Linq.JsonLoadSettings,System.Threading.CancellationToken)">
-            <summary>
-            Asynchronously creates a <see cref="T:Newtonsoft.Json.Linq.JToken"/> from a <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">A <see cref="T:Newtonsoft.Json.JsonReader"/> positioned at the token to read into this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</param>
-            <param name="settings">The <see cref="T:Newtonsoft.Json.Linq.JsonLoadSettings"/> used to load the JSON.
-            If this is <c>null</c>, default load settings will be used.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests. The default value is <see cref="P:System.Threading.CancellationToken.None"/>.</param>
-            <returns>
-            A <see cref="T:System.Threading.Tasks.Task`1"/> that represents the asynchronous creation. The <see cref="P:System.Threading.Tasks.Task`1.Result"/>
-            property returns a <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the token and its descendant tokens
-            that were read from the reader. The runtime type of the token is determined
-            by the token type of the first token encountered in the reader.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.EqualityComparer">
-            <summary>
-            Gets a comparer that can compare two tokens for value equality.
-            </summary>
-            <value>A <see cref="T:Newtonsoft.Json.Linq.JTokenEqualityComparer"/> that can compare two nodes for value equality.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Parent">
-            <summary>
-            Gets or sets the parent.
-            </summary>
-            <value>The parent.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Root">
-            <summary>
-            Gets the root <see cref="T:Newtonsoft.Json.Linq.JToken"/> of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The root <see cref="T:Newtonsoft.Json.Linq.JToken"/> of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Type">
-            <summary>
-            Gets the node type for this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.HasValues">
-            <summary>
-            Gets a value indicating whether this token has child tokens.
-            </summary>
-            <value>
-            	<c>true</c> if this token has child values; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.DeepEquals(Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Compares the values of two tokens, including the values of all descendant tokens.
-            </summary>
-            <param name="t1">The first <see cref="T:Newtonsoft.Json.Linq.JToken"/> to compare.</param>
-            <param name="t2">The second <see cref="T:Newtonsoft.Json.Linq.JToken"/> to compare.</param>
-            <returns><c>true</c> if the tokens are equal; otherwise <c>false</c>.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Next">
-            <summary>
-            Gets the next sibling token of this node.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the next sibling token.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Previous">
-            <summary>
-            Gets the previous sibling token of this node.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> that contains the previous sibling token.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Path">
-            <summary>
-            Gets the path of the JSON token. 
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.AddAfterSelf(System.Object)">
-            <summary>
-            Adds the specified content immediately after this token.
-            </summary>
-            <param name="content">A content object that contains simple content or a collection of content objects to be added after this token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.AddBeforeSelf(System.Object)">
-            <summary>
-            Adds the specified content immediately before this token.
-            </summary>
-            <param name="content">A content object that contains simple content or a collection of content objects to be added before this token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Ancestors">
-            <summary>
-            Returns a collection of the ancestor tokens of this token.
-            </summary>
-            <returns>A collection of the ancestor tokens of this token.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.AncestorsAndSelf">
-            <summary>
-            Returns a collection of tokens that contain this token, and the ancestors of this token.
-            </summary>
-            <returns>A collection of tokens that contain this token, and the ancestors of this token.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.AfterSelf">
-            <summary>
-            Returns a collection of the sibling tokens after this token, in document order.
-            </summary>
-            <returns>A collection of the sibling tokens after this tokens, in document order.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.BeforeSelf">
-            <summary>
-            Returns a collection of the sibling tokens before this token, in document order.
-            </summary>
-            <returns>A collection of the sibling tokens before this token, in document order.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Item(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Value``1(System.Object)">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> with the specified key converted to the specified type.
-            </summary>
-            <typeparam name="T">The type to convert the token to.</typeparam>
-            <param name="key">The token key.</param>
-            <returns>The converted token value.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.First">
-            <summary>
-            Get the first child token of this token.
-            </summary>
-            <value>A <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the first child token of the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JToken.Last">
-            <summary>
-            Get the last child token of this token.
-            </summary>
-            <value>A <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the last child token of the <see cref="T:Newtonsoft.Json.Linq.JToken"/>.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Children">
-            <summary>
-            Returns a collection of the child tokens of this token, in document order.
-            </summary>
-            <returns>An <see cref="T:System.Collections.Generic.IEnumerable`1"/> of <see cref="T:Newtonsoft.Json.Linq.JToken"/> containing the child tokens of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>, in document order.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Children``1">
-            <summary>
-            Returns a collection of the child tokens of this token, in document order, filtered by the specified type.
-            </summary>
-            <typeparam name="T">The type to filter the child tokens on.</typeparam>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JEnumerable`1"/> containing the child tokens of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>, in document order.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Values``1">
-            <summary>
-            Returns a collection of the child values of this token, in document order.
-            </summary>
-            <typeparam name="T">The type to convert the values to.</typeparam>
-            <returns>A <see cref="T:System.Collections.Generic.IEnumerable`1"/> containing the child values of this <see cref="T:Newtonsoft.Json.Linq.JToken"/>, in document order.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Remove">
-            <summary>
-            Removes this token from its parent.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.Replace(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Replaces this token with the specified token.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.ToString">
-            <summary>
-            Returns the indented JSON for this token.
-            </summary>
-            <remarks>
-            <c>ToString()</c> returns a non-JSON string value for tokens with a type of <see cref="F:Newtonsoft.Json.Linq.JTokenType.String"/>.
-            If you want the JSON for all token types then you should use <see cref="M:Newtonsoft.Json.Linq.JToken.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])"/>.
-            </remarks>
-            <returns>
-            The indented JSON for this token.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.ToString(Newtonsoft.Json.Formatting,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Returns the JSON for this token using the given formatting and converters.
-            </summary>
-            <param name="formatting">Indicates how the output should be formatted.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/>s which will be used when writing the token.</param>
-            <returns>The JSON for this token using the given formatting and converters.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.op_Explicit(Newtonsoft.Json.Linq.JToken)~System.Boolean">
-            <summary>
-            Performs an explicit conversion from <see cref="T:Newtonsoft.Json.Linq.JToken"/> to <see cref="T:System.Boolean"/>.
-            </summary>
-            <param name="value">The value.</param>
-            <returns>The result of the conversion.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.op_Explicit(Newtonsoft.Json.Linq.JToken)~System.DateTimeOffset">
-            <summary>
-            Performs an explicit conversion from <see cref="T:Newtonsoft.Json.Linq.JToken"/> to <see cref="T:System.DateTimeOffset"/>.
-            </summary>
-            <param name="value">The value.</param>
-            <returns>The result of the conversion.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JToken.op_Explicit(Newtonsoft.Json.Linq.JToken)~System.Nullable{System.Boolean}">
-            <summary>
-            Performs an explicit conversion from <see cref="T:Newtonsoft.Json.Linq.JToken"/> to <see cref="T:System.Nullable`1"/> of <see cref="T:System.Boolean"/>.
-            </summary>
-            <param name="value">The value.</param>
-            <returns>The result of the conversion.</returns>
-        </member>
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-            <param name="x">The first object of type <see cref="T:Newtonsoft.Json.Linq.JToken"/> to compare.</param>
-            <param name="y">The second object of type <see cref="T:Newtonsoft.Json.Linq.JToken"/> to compare.</param>
-            <returns>
-            <c>true</c> if the specified objects are equal; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenEqualityComparer.GetHashCode(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Returns a hash code for the specified object.
-            </summary>
-            <param name="obj">The <see cref="T:System.Object"/> for which a hash code is to be returned.</param>
-            <returns>A hash code for the specified object.</returns>
-            <exception cref="T:System.ArgumentNullException">The type of <paramref name="obj"/> is a reference type and <paramref name="obj"/> is <c>null</c>.</exception>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JTokenReader">
-            <summary>
-            Represents a reader that provides fast, non-cached, forward-only access to serialized JSON data.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JTokenReader.CurrentToken">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> at the reader's current position.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenReader.#ctor(Newtonsoft.Json.Linq.JToken)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JTokenReader"/> class.
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-            <param name="token">The token to read from.</param>
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-        <member name="M:Newtonsoft.Json.Linq.JTokenReader.#ctor(Newtonsoft.Json.Linq.JToken,System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JTokenReader"/> class.
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-            <param name="token">The token to read from.</param>
-            <param name="initialPath">The initial path of the token. It is prepended to the returned <see cref="P:Newtonsoft.Json.Linq.JTokenReader.Path"/>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenReader.Read">
-            <summary>
-            Reads the next JSON token from the underlying <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <returns>
-            <c>true</c> if the next token was read successfully; <c>false</c> if there are no more tokens to read.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JTokenReader.Path">
-            <summary>
-            Gets the path of the current JSON token. 
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JTokenType">
-            <summary>
-            Specifies the type of token.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.None">
-            <summary>
-            No token type has been set.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Object">
-            <summary>
-            A JSON object.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Array">
-            <summary>
-            A JSON array.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Constructor">
-            <summary>
-            A JSON constructor.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Property">
-            <summary>
-            A JSON object property.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Comment">
-            <summary>
-            A comment.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Integer">
-            <summary>
-            An integer value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Float">
-            <summary>
-            A float value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.String">
-            <summary>
-            A string value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Boolean">
-            <summary>
-            A boolean value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Null">
-            <summary>
-            A null value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Undefined">
-            <summary>
-            An undefined value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Date">
-            <summary>
-            A date value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Raw">
-            <summary>
-            A raw JSON value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Bytes">
-            <summary>
-            A collection of bytes value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Guid">
-            <summary>
-            A Guid value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.Uri">
-            <summary>
-            A Uri value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.JTokenType.TimeSpan">
-            <summary>
-            A TimeSpan value.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JTokenWriter">
-            <summary>
-            Represents a writer that provides a fast, non-cached, forward-only way of generating JSON data.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JTokenWriter.CurrentToken">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Linq.JToken"/> at the writer's current position.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JTokenWriter.Token">
-            <summary>
-            Gets the token being written.
-            </summary>
-            <value>The token being written.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.#ctor(Newtonsoft.Json.Linq.JContainer)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JTokenWriter"/> class writing to the given <see cref="T:Newtonsoft.Json.Linq.JContainer"/>.
-            </summary>
-            <param name="container">The container being written to.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JTokenWriter"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.Flush">
-            <summary>
-            Flushes whatever is in the buffer to the underlying <see cref="T:Newtonsoft.Json.Linq.JContainer"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.Close">
-            <summary>
-            Closes this writer.
-            If <see cref="P:Newtonsoft.Json.JsonWriter.AutoCompleteOnClose"/> is set to <c>true</c>, the JSON is auto-completed.
-            </summary>
-            <remarks>
-            Setting <see cref="P:Newtonsoft.Json.JsonWriter.CloseOutput"/> to <c>true</c> has no additional effect, since the underlying <see cref="T:Newtonsoft.Json.Linq.JContainer"/> is a type that cannot be closed.
-            </remarks>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteStartObject">
-            <summary>
-            Writes the beginning of a JSON object.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteStartArray">
-            <summary>
-            Writes the beginning of a JSON array.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteStartConstructor(System.String)">
-            <summary>
-            Writes the start of a constructor with the given name.
-            </summary>
-            <param name="name">The name of the constructor.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteEnd(Newtonsoft.Json.JsonToken)">
-            <summary>
-            Writes the end.
-            </summary>
-            <param name="token">The token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WritePropertyName(System.String)">
-            <summary>
-            Writes the property name of a name/value pair on a JSON object.
-            </summary>
-            <param name="name">The name of the property.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Object)">
-            <summary>
-            Writes a <see cref="T:System.Object"/> value.
-            An error will be raised if the value cannot be written as a single JSON token.
-            </summary>
-            <param name="value">The <see cref="T:System.Object"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteNull">
-            <summary>
-            Writes a null value.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteUndefined">
-            <summary>
-            Writes an undefined value.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteRaw(System.String)">
-            <summary>
-            Writes raw JSON.
-            </summary>
-            <param name="json">The raw JSON to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteComment(System.String)">
-            <summary>
-            Writes a comment <c>/*...*/</c> containing the specified text.
-            </summary>
-            <param name="text">Text to place inside the comment.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.String)">
-            <summary>
-            Writes a <see cref="T:System.String"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.String"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Int32)">
-            <summary>
-            Writes a <see cref="T:System.Int32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.UInt32)">
-            <summary>
-            Writes a <see cref="T:System.UInt32"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt32"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Int64)">
-            <summary>
-            Writes a <see cref="T:System.Int64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.UInt64)">
-            <summary>
-            Writes a <see cref="T:System.UInt64"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt64"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Single)">
-            <summary>
-            Writes a <see cref="T:System.Single"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Single"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Double)">
-            <summary>
-            Writes a <see cref="T:System.Double"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Double"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Boolean)">
-            <summary>
-            Writes a <see cref="T:System.Boolean"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Boolean"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Int16)">
-            <summary>
-            Writes a <see cref="T:System.Int16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Int16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.UInt16)">
-            <summary>
-            Writes a <see cref="T:System.UInt16"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.UInt16"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Char)">
-            <summary>
-            Writes a <see cref="T:System.Char"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Char"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Byte)">
-            <summary>
-            Writes a <see cref="T:System.Byte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.SByte)">
-            <summary>
-            Writes a <see cref="T:System.SByte"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.SByte"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Decimal)">
-            <summary>
-            Writes a <see cref="T:System.Decimal"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Decimal"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.DateTime)">
-            <summary>
-            Writes a <see cref="T:System.DateTime"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTime"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.DateTimeOffset)">
-            <summary>
-            Writes a <see cref="T:System.DateTimeOffset"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.DateTimeOffset"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Byte[])">
-            <summary>
-            Writes a <see cref="T:System.Byte"/>[] value.
-            </summary>
-            <param name="value">The <see cref="T:System.Byte"/>[] value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.TimeSpan)">
-            <summary>
-            Writes a <see cref="T:System.TimeSpan"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.TimeSpan"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Guid)">
-            <summary>
-            Writes a <see cref="T:System.Guid"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Guid"/> value to write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JTokenWriter.WriteValue(System.Uri)">
-            <summary>
-            Writes a <see cref="T:System.Uri"/> value.
-            </summary>
-            <param name="value">The <see cref="T:System.Uri"/> value to write.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.JValue">
-            <summary>
-            Represents a value in JSON (string, integer, date, etc).
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.WriteToAsync(Newtonsoft.Json.JsonWriter,System.Threading.CancellationToken,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/> asynchronously.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="cancellationToken">The token to monitor for cancellation requests.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/> which will be used when writing the token.</param>
-            <returns>A <see cref="T:System.Threading.Tasks.Task"/> that represents the asynchronous write operation.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(Newtonsoft.Json.Linq.JValue)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class from another <see cref="T:Newtonsoft.Json.Linq.JValue"/> object.
-            </summary>
-            <param name="other">A <see cref="T:Newtonsoft.Json.Linq.JValue"/> object to copy from.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Int64)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Decimal)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Char)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.UInt64)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Double)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Single)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.DateTime)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.DateTimeOffset)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Guid)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Uri)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.TimeSpan)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.#ctor(System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Linq.JValue"/> class with the given value.
-            </summary>
-            <param name="value">The value.</param>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JValue.HasValues">
-            <summary>
-            Gets a value indicating whether this token has child tokens.
-            </summary>
-            <value>
-            	<c>true</c> if this token has child values; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.CreateComment(System.String)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JValue"/> comment with the given value.
-            </summary>
-            <param name="value">The value.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JValue"/> comment with the given value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.CreateString(System.String)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JValue"/> string with the given value.
-            </summary>
-            <param name="value">The value.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JValue"/> string with the given value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.CreateNull">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JValue"/> null value.
-            </summary>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JValue"/> null value.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.CreateUndefined">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Linq.JValue"/> undefined value.
-            </summary>
-            <returns>A <see cref="T:Newtonsoft.Json.Linq.JValue"/> undefined value.</returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JValue.Type">
-            <summary>
-            Gets the node type for this <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Linq.JValue.Value">
-            <summary>
-            Gets or sets the underlying token value.
-            </summary>
-            <value>The underlying token value.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])">
-            <summary>
-            Writes this token to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="converters">A collection of <see cref="T:Newtonsoft.Json.JsonConverter"/>s which will be used when writing the token.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.Equals(Newtonsoft.Json.Linq.JValue)">
-            <summary>
-            Indicates whether the current object is equal to another object of the same type.
-            </summary>
-            <returns>
-            <c>true</c> if the current object is equal to the <paramref name="other"/> parameter; otherwise, <c>false</c>.
-            </returns>
-            <param name="other">An object to compare with this object.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.Equals(System.Object)">
-            <summary>
-            Determines whether the specified <see cref="T:System.Object"/> is equal to the current <see cref="T:System.Object"/>.
-            </summary>
-            <param name="obj">The <see cref="T:System.Object"/> to compare with the current <see cref="T:System.Object"/>.</param>
-            <returns>
-            <c>true</c> if the specified <see cref="T:System.Object"/> is equal to the current <see cref="T:System.Object"/>; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.GetHashCode">
-            <summary>
-            Serves as a hash function for a particular type.
-            </summary>
-            <returns>
-            A hash code for the current <see cref="T:System.Object"/>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.ToString">
-            <summary>
-            Returns a <see cref="T:System.String"/> that represents this instance.
-            </summary>
-            <remarks>
-            <c>ToString()</c> returns a non-JSON string value for tokens with a type of <see cref="F:Newtonsoft.Json.Linq.JTokenType.String"/>.
-            If you want the JSON for all token types then you should use <see cref="M:Newtonsoft.Json.Linq.JValue.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.JsonConverter[])"/>.
-            </remarks>
-            <returns>
-            A <see cref="T:System.String"/> that represents this instance.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.ToString(System.String)">
-            <summary>
-            Returns a <see cref="T:System.String"/> that represents this instance.
-            </summary>
-            <param name="format">The format.</param>
-            <returns>
-            A <see cref="T:System.String"/> that represents this instance.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.ToString(System.IFormatProvider)">
-            <summary>
-            Returns a <see cref="T:System.String"/> that represents this instance.
-            </summary>
-            <param name="formatProvider">The format provider.</param>
-            <returns>
-            A <see cref="T:System.String"/> that represents this instance.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.ToString(System.String,System.IFormatProvider)">
-            <summary>
-            Returns a <see cref="T:System.String"/> that represents this instance.
-            </summary>
-            <param name="format">The format.</param>
-            <param name="formatProvider">The format provider.</param>
-            <returns>
-            A <see cref="T:System.String"/> that represents this instance.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.GetMetaObject(System.Linq.Expressions.Expression)">
-            <summary>
-            Returns the <see cref="T:System.Dynamic.DynamicMetaObject"/> responsible for binding operations performed on this object.
-            </summary>
-            <param name="parameter">The expression tree representation of the runtime value.</param>
-            <returns>
-            The <see cref="T:System.Dynamic.DynamicMetaObject"/> to bind this object.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Linq.JValue.CompareTo(Newtonsoft.Json.Linq.JValue)">
-            <summary>
-            Compares the current instance with another object of the same type and returns an integer that indicates whether the current instance precedes, follows, or occurs in the same position in the sort order as the other object.
-            </summary>
-            <param name="obj">An object to compare with this instance.</param>
-            <returns>
-            A 32-bit signed integer that indicates the relative order of the objects being compared. The return value has these meanings:
-            Value
-            Meaning
-            Less than zero
-            This instance is less than <paramref name="obj"/>.
-            Zero
-            This instance is equal to <paramref name="obj"/>.
-            Greater than zero
-            This instance is greater than <paramref name="obj"/>.
-            </returns>
-            <exception cref="T:System.ArgumentException">
-            	<paramref name="obj"/> is not of the same type as this instance.
-            </exception>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.LineInfoHandling">
-            <summary>
-            Specifies how line information is handled when loading JSON.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.LineInfoHandling.Ignore">
-            <summary>
-            Ignore line information.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.LineInfoHandling.Load">
-            <summary>
-            Load line information.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.MergeArrayHandling">
-            <summary>
-            Specifies how JSON arrays are merged together.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.MergeArrayHandling.Concat">
-            <summary>Concatenate arrays.</summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.MergeArrayHandling.Union">
-            <summary>Union arrays, skipping items that already exist.</summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.MergeArrayHandling.Replace">
-            <summary>Replace all array items.</summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.MergeArrayHandling.Merge">
-            <summary>Merge array items together, matched by index.</summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Linq.MergeNullValueHandling">
-            <summary>
-            Specifies how null value properties are merged.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.MergeNullValueHandling.Ignore">
-            <summary>
-            The content's null value properties will be ignored during merging.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Linq.MergeNullValueHandling.Merge">
-            <summary>
-            The content's null value properties will be merged.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.MemberSerialization">
-            <summary>
-            Specifies the member serialization options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MemberSerialization.OptOut">
-            <summary>
-            All public members are serialized by default. Members can be excluded using <see cref="T:Newtonsoft.Json.JsonIgnoreAttribute"/> or <see cref="T:System.NonSerializedAttribute"/>.
-            This is the default member serialization mode.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MemberSerialization.OptIn">
-            <summary>
-            Only members marked with <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/> or <see cref="T:System.Runtime.Serialization.DataMemberAttribute"/> are serialized.
-            This member serialization mode can also be set by marking the class with <see cref="T:System.Runtime.Serialization.DataContractAttribute"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MemberSerialization.Fields">
-            <summary>
-            All public and private fields are serialized. Members can be excluded using <see cref="T:Newtonsoft.Json.JsonIgnoreAttribute"/> or <see cref="T:System.NonSerializedAttribute"/>.
-            This member serialization mode can also be set by marking the class with <see cref="T:System.SerializableAttribute"/>
-            and setting IgnoreSerializableAttribute on <see cref="T:Newtonsoft.Json.Serialization.DefaultContractResolver"/> to <c>false</c>.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.MetadataPropertyHandling">
-            <summary>
-            Specifies metadata property handling options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MetadataPropertyHandling.Default">
-            <summary>
-            Read metadata properties located at the start of a JSON object.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MetadataPropertyHandling.ReadAhead">
-            <summary>
-            Read metadata properties located anywhere in a JSON object. Note that this setting will impact performance.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MetadataPropertyHandling.Ignore">
-            <summary>
-            Do not try to read metadata properties.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.MissingMemberHandling">
-            <summary>
-            Specifies missing member handling options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MissingMemberHandling.Ignore">
-            <summary>
-            Ignore a missing member and do not attempt to deserialize it.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.MissingMemberHandling.Error">
-            <summary>
-            Throw a <see cref="T:Newtonsoft.Json.JsonSerializationException"/> when a missing member is encountered during deserialization.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.NullValueHandling">
-            <summary>
-            Specifies null value handling options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="ReducingSerializedJsonSizeNullValueHandlingObject" title="NullValueHandling Class" />
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="ReducingSerializedJsonSizeNullValueHandlingExample" title="NullValueHandling Ignore Example" />
-            </example>
-        </member>
-        <member name="F:Newtonsoft.Json.NullValueHandling.Include">
-            <summary>
-            Include null values when serializing and deserializing objects.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.NullValueHandling.Ignore">
-            <summary>
-            Ignore null values when serializing and deserializing objects.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.ObjectCreationHandling">
-            <summary>
-            Specifies how object creation is handled by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.ObjectCreationHandling.Auto">
-            <summary>
-            Reuse existing objects, create new objects when needed.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.ObjectCreationHandling.Reuse">
-            <summary>
-            Only reuse existing objects.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.ObjectCreationHandling.Replace">
-            <summary>
-            Always create new objects.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.PreserveReferencesHandling">
-            <summary>
-            Specifies reference handling options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            Note that references cannot be preserved when a value is set via a non-default constructor such as types that implement <see cref="T:System.Runtime.Serialization.ISerializable"/>.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="PreservingObjectReferencesOn" title="Preserve Object References" />       
-            </example>
-        </member>
-        <member name="F:Newtonsoft.Json.PreserveReferencesHandling.None">
-            <summary>
-            Do not preserve references when serializing types.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.PreserveReferencesHandling.Objects">
-            <summary>
-            Preserve references when serializing into a JSON object structure.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.PreserveReferencesHandling.Arrays">
-            <summary>
-            Preserve references when serializing into a JSON array structure.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.PreserveReferencesHandling.All">
-            <summary>
-            Preserve references when serializing.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.ReferenceLoopHandling">
-            <summary>
-            Specifies reference loop handling options for the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.ReferenceLoopHandling.Error">
-            <summary>
-            Throw a <see cref="T:Newtonsoft.Json.JsonSerializationException"/> when a loop is encountered.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.ReferenceLoopHandling.Ignore">
-            <summary>
-            Ignore loop references and do not serialize.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.ReferenceLoopHandling.Serialize">
-            <summary>
-            Serialize loop references.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Required">
-            <summary>
-            Indicating whether a property is required.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Required.Default">
-            <summary>
-            The property is not required. The default state.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Required.AllowNull">
-            <summary>
-            The property must be defined in JSON but can be a null value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Required.Always">
-            <summary>
-            The property must be defined in JSON and cannot be a null value.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Required.DisallowNull">
-            <summary>
-            The property is not required but it cannot be a null value.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.Extensions">
-            <summary>
-            <para>
-            Contains the JSON schema extension methods.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.Extensions.IsValid(Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Schema.JsonSchema)">
-            <summary>
-            <para>
-            Determines whether the <see cref="T:Newtonsoft.Json.Linq.JToken"/> is valid.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-            <param name="source">The source <see cref="T:Newtonsoft.Json.Linq.JToken"/> to test.</param>
-            <param name="schema">The schema to test with.</param>
-            <returns>
-            	<c>true</c> if the specified <see cref="T:Newtonsoft.Json.Linq.JToken"/> is valid; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.Extensions.IsValid(Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Schema.JsonSchema,System.Collections.Generic.IList{System.String}@)">
-            <summary>
-            <para>
-            Determines whether the <see cref="T:Newtonsoft.Json.Linq.JToken"/> is valid.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-            <param name="source">The source <see cref="T:Newtonsoft.Json.Linq.JToken"/> to test.</param>
-            <param name="schema">The schema to test with.</param>
-            <param name="errorMessages">When this method returns, contains any error messages generated while validating. </param>
-            <returns>
-            	<c>true</c> if the specified <see cref="T:Newtonsoft.Json.Linq.JToken"/> is valid; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.Extensions.Validate(Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Schema.JsonSchema)">
-            <summary>
-            <para>
-            Validates the specified <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-            <param name="source">The source <see cref="T:Newtonsoft.Json.Linq.JToken"/> to test.</param>
-            <param name="schema">The schema to test with.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.Extensions.Validate(Newtonsoft.Json.Linq.JToken,Newtonsoft.Json.Schema.JsonSchema,Newtonsoft.Json.Schema.ValidationEventHandler)">
-            <summary>
-            <para>
-            Validates the specified <see cref="T:Newtonsoft.Json.Linq.JToken"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-            <param name="source">The source <see cref="T:Newtonsoft.Json.Linq.JToken"/> to test.</param>
-            <param name="schema">The schema to test with.</param>
-            <param name="validationEventHandler">The validation event handler.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.JsonSchema">
-            <summary>
-            <para>
-            An in-memory representation of a JSON Schema.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Id">
-            <summary>
-            Gets or sets the id.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Title">
-            <summary>
-            Gets or sets the title.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Required">
-            <summary>
-            Gets or sets whether the object is required.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.ReadOnly">
-            <summary>
-            Gets or sets whether the object is read-only.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Hidden">
-            <summary>
-            Gets or sets whether the object is visible to users.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Transient">
-            <summary>
-            Gets or sets whether the object is transient.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Description">
-            <summary>
-            Gets or sets the description of the object.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Type">
-            <summary>
-            Gets or sets the types of values allowed by the object.
-            </summary>
-            <value>The type.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Pattern">
-            <summary>
-            Gets or sets the pattern.
-            </summary>
-            <value>The pattern.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.MinimumLength">
-            <summary>
-            Gets or sets the minimum length.
-            </summary>
-            <value>The minimum length.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.MaximumLength">
-            <summary>
-            Gets or sets the maximum length.
-            </summary>
-            <value>The maximum length.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.DivisibleBy">
-            <summary>
-            Gets or sets a number that the value should be divisible by.
-            </summary>
-            <value>A number that the value should be divisible by.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Minimum">
-            <summary>
-            Gets or sets the minimum.
-            </summary>
-            <value>The minimum.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Maximum">
-            <summary>
-            Gets or sets the maximum.
-            </summary>
-            <value>The maximum.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.ExclusiveMinimum">
-            <summary>
-            Gets or sets a flag indicating whether the value can not equal the number defined by the <c>minimum</c> attribute (<see cref="P:Newtonsoft.Json.Schema.JsonSchema.Minimum"/>).
-            </summary>
-            <value>A flag indicating whether the value can not equal the number defined by the <c>minimum</c> attribute (<see cref="P:Newtonsoft.Json.Schema.JsonSchema.Minimum"/>).</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.ExclusiveMaximum">
-            <summary>
-            Gets or sets a flag indicating whether the value can not equal the number defined by the <c>maximum</c> attribute (<see cref="P:Newtonsoft.Json.Schema.JsonSchema.Maximum"/>).
-            </summary>
-            <value>A flag indicating whether the value can not equal the number defined by the <c>maximum</c> attribute (<see cref="P:Newtonsoft.Json.Schema.JsonSchema.Maximum"/>).</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.MinimumItems">
-            <summary>
-            Gets or sets the minimum number of items.
-            </summary>
-            <value>The minimum number of items.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.MaximumItems">
-            <summary>
-            Gets or sets the maximum number of items.
-            </summary>
-            <value>The maximum number of items.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Items">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of items.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of items.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.PositionalItemsValidation">
-            <summary>
-            Gets or sets a value indicating whether items in an array are validated using the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> instance at their array position from <see cref="P:Newtonsoft.Json.Schema.JsonSchema.Items"/>.
-            </summary>
-            <value>
-            	<c>true</c> if items are validated using their array position; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.AdditionalItems">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of additional items.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of additional items.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.AllowAdditionalItems">
-            <summary>
-            Gets or sets a value indicating whether additional items are allowed.
-            </summary>
-            <value>
-            	<c>true</c> if additional items are allowed; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.UniqueItems">
-            <summary>
-            Gets or sets whether the array items must be unique.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Properties">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of properties.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of properties.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.AdditionalProperties">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of additional properties.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> of additional properties.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.PatternProperties">
-            <summary>
-            Gets or sets the pattern properties.
-            </summary>
-            <value>The pattern properties.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.AllowAdditionalProperties">
-            <summary>
-            Gets or sets a value indicating whether additional properties are allowed.
-            </summary>
-            <value>
-            	<c>true</c> if additional properties are allowed; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Requires">
-            <summary>
-            Gets or sets the required property if this property is present.
-            </summary>
-            <value>The required property if this property is present.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Enum">
-            <summary>
-            Gets or sets the a collection of valid enum values allowed.
-            </summary>
-            <value>A collection of valid enum values allowed.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Disallow">
-            <summary>
-            Gets or sets disallowed types.
-            </summary>
-            <value>The disallowed types.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Default">
-            <summary>
-            Gets or sets the default value.
-            </summary>
-            <value>The default value.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Extends">
-            <summary>
-            Gets or sets the collection of <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> that this schema extends.
-            </summary>
-            <value>The collection of <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> that this schema extends.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchema.Format">
-            <summary>
-            Gets or sets the format.
-            </summary>
-            <value>The format.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.Read(Newtonsoft.Json.JsonReader)">
-            <summary>
-            Reads a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> containing the JSON Schema to read.</param>
-            <returns>The <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> object representing the JSON Schema.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.Read(Newtonsoft.Json.JsonReader,Newtonsoft.Json.Schema.JsonSchemaResolver)">
-            <summary>
-            Reads a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from the specified <see cref="T:Newtonsoft.Json.JsonReader"/>.
-            </summary>
-            <param name="reader">The <see cref="T:Newtonsoft.Json.JsonReader"/> containing the JSON Schema to read.</param>
-            <param name="resolver">The <see cref="T:Newtonsoft.Json.Schema.JsonSchemaResolver"/> to use when resolving schema references.</param>
-            <returns>The <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> object representing the JSON Schema.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.Parse(System.String)">
-            <summary>
-            Load a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from a string that contains JSON Schema.
-            </summary>
-            <param name="json">A <see cref="T:System.String"/> that contains JSON Schema.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> populated from the string that contains JSON Schema.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.Parse(System.String,Newtonsoft.Json.Schema.JsonSchemaResolver)">
-            <summary>
-            Load a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from a string that contains JSON Schema using the specified <see cref="T:Newtonsoft.Json.Schema.JsonSchemaResolver"/>.
-            </summary>
-            <param name="json">A <see cref="T:System.String"/> that contains JSON Schema.</param>
-            <param name="resolver">The resolver.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> populated from the string that contains JSON Schema.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.WriteTo(Newtonsoft.Json.JsonWriter)">
-            <summary>
-            Writes this schema to a <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.WriteTo(Newtonsoft.Json.JsonWriter,Newtonsoft.Json.Schema.JsonSchemaResolver)">
-            <summary>
-            Writes this schema to a <see cref="T:Newtonsoft.Json.JsonWriter"/> using the specified <see cref="T:Newtonsoft.Json.Schema.JsonSchemaResolver"/>.
-            </summary>
-            <param name="writer">A <see cref="T:Newtonsoft.Json.JsonWriter"/> into which this method will write.</param>
-            <param name="resolver">The resolver used.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchema.ToString">
-            <summary>
-            Returns a <see cref="T:System.String"/> that represents the current <see cref="T:System.Object"/>.
-            </summary>
-            <returns>
-            A <see cref="T:System.String"/> that represents the current <see cref="T:System.Object"/>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.JsonSchemaException">
-            <summary>
-            <para>
-            Returns detailed information about the schema exception.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchemaException.LineNumber">
-            <summary>
-            Gets the line number indicating where the error occurred.
-            </summary>
-            <value>The line number indicating where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchemaException.LinePosition">
-            <summary>
-            Gets the line position indicating where the error occurred.
-            </summary>
-            <value>The line position indicating where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchemaException.Path">
-            <summary>
-            Gets the path to the JSON where the error occurred.
-            </summary>
-            <value>The path to the JSON where the error occurred.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaException.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaException"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaException.#ctor(System.String)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaException"/> class
-            with a specified error message.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaException.#ctor(System.String,System.Exception)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaException"/> class
-            with a specified error message and a reference to the inner exception that is the cause of this exception.
-            </summary>
-            <param name="message">The error message that explains the reason for the exception.</param>
-            <param name="innerException">The exception that is the cause of the current exception, or <c>null</c> if no inner exception is specified.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaException"/> class.
-            </summary>
-            <param name="info">The <see cref="T:System.Runtime.Serialization.SerializationInfo"/> that holds the serialized object data about the exception being thrown.</param>
-            <param name="context">The <see cref="T:System.Runtime.Serialization.StreamingContext"/> that contains contextual information about the source or destination.</param>
-            <exception cref="T:System.ArgumentNullException">The <paramref name="info"/> parameter is <c>null</c>.</exception>
-            <exception cref="T:System.Runtime.Serialization.SerializationException">The class name is <c>null</c> or <see cref="P:System.Exception.HResult"/> is zero (0).</exception>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.JsonSchemaGenerator">
-            <summary>
-            <para>
-            Generates a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from a specified <see cref="T:System.Type"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchemaGenerator.UndefinedSchemaIdHandling">
-            <summary>
-            Gets or sets how undefined schemas are handled by the serializer.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchemaGenerator.ContractResolver">
-            <summary>
-            Gets or sets the contract resolver.
-            </summary>
-            <value>The contract resolver.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaGenerator.Generate(System.Type)">
-            <summary>
-            Generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from the specified type.
-            </summary>
-            <param name="type">The type to generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> generated from the specified type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaGenerator.Generate(System.Type,Newtonsoft.Json.Schema.JsonSchemaResolver)">
-            <summary>
-            Generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from the specified type.
-            </summary>
-            <param name="type">The type to generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from.</param>
-            <param name="resolver">The <see cref="T:Newtonsoft.Json.Schema.JsonSchemaResolver"/> used to resolve schema references.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> generated from the specified type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaGenerator.Generate(System.Type,System.Boolean)">
-            <summary>
-            Generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from the specified type.
-            </summary>
-            <param name="type">The type to generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from.</param>
-            <param name="rootSchemaNullable">Specify whether the generated root <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> will be nullable.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> generated from the specified type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaGenerator.Generate(System.Type,Newtonsoft.Json.Schema.JsonSchemaResolver,System.Boolean)">
-            <summary>
-            Generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from the specified type.
-            </summary>
-            <param name="type">The type to generate a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from.</param>
-            <param name="resolver">The <see cref="T:Newtonsoft.Json.Schema.JsonSchemaResolver"/> used to resolve schema references.</param>
-            <param name="rootSchemaNullable">Specify whether the generated root <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> will be nullable.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> generated from the specified type.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.JsonSchemaResolver">
-            <summary>
-            <para>
-            Resolves <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> from an id.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.JsonSchemaResolver.LoadedSchemas">
-            <summary>
-            Gets or sets the loaded schemas.
-            </summary>
-            <value>The loaded schemas.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaResolver.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaResolver"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Schema.JsonSchemaResolver.GetSchema(System.String)">
-            <summary>
-            Gets a <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> for the specified reference.
-            </summary>
-            <param name="reference">The id.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/> for the specified reference.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.JsonSchemaType">
-            <summary>
-            <para>
-            The value types allowed by the <see cref="T:Newtonsoft.Json.Schema.JsonSchema"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.None">
-            <summary>
-            No type specified.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.String">
-            <summary>
-            String type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Float">
-            <summary>
-            Float type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Integer">
-            <summary>
-            Integer type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Boolean">
-            <summary>
-            Boolean type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Object">
-            <summary>
-            Object type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Array">
-            <summary>
-            Array type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Null">
-            <summary>
-            Null type.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.JsonSchemaType.Any">
-            <summary>
-            Any type.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.UndefinedSchemaIdHandling">
-            <summary>
-            <para>
-            Specifies undefined schema Id handling options for the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaGenerator"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.UndefinedSchemaIdHandling.None">
-            <summary>
-            Do not infer a schema Id.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.UndefinedSchemaIdHandling.UseTypeName">
-            <summary>
-            Use the .NET type name as the schema Id.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.Schema.UndefinedSchemaIdHandling.UseAssemblyQualifiedName">
-            <summary>
-            Use the assembly qualified .NET type name as the schema Id.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.ValidationEventArgs">
-            <summary>
-            <para>
-            Returns detailed information related to the <see cref="T:Newtonsoft.Json.Schema.ValidationEventHandler"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.ValidationEventArgs.Exception">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Schema.JsonSchemaException"/> associated with the validation error.
-            </summary>
-            <value>The JsonSchemaException associated with the validation error.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.ValidationEventArgs.Path">
-            <summary>
-            Gets the path of the JSON location where the validation error occurred.
-            </summary>
-            <value>The path of the JSON location where the validation error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Schema.ValidationEventArgs.Message">
-            <summary>
-            Gets the text description corresponding to the validation error.
-            </summary>
-            <value>The text description.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Schema.ValidationEventHandler">
-            <summary>
-            <para>
-            Represents the callback method that will handle JSON schema validation events and the <see cref="T:Newtonsoft.Json.Schema.ValidationEventArgs"/>.
-            </para>
-            <note type="caution">
-            JSON Schema validation has been moved to its own package. See <see href="https://www.newtonsoft.com/jsonschema">https://www.newtonsoft.com/jsonschema</see> for more details.
-            </note>
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy">
-            <summary>
-            A camel case naming strategy.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy.#ctor(System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy"/> class.
-            </summary>
-            <param name="processDictionaryKeys">
-            A flag indicating whether dictionary keys should be processed.
-            </param>
-            <param name="overrideSpecifiedNames">
-            A flag indicating whether explicitly specified property names should be processed,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy.#ctor(System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy"/> class.
-            </summary>
-            <param name="processDictionaryKeys">
-            A flag indicating whether dictionary keys should be processed.
-            </param>
-            <param name="overrideSpecifiedNames">
-            A flag indicating whether explicitly specified property names should be processed,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>.
-            </param>
-            <param name="processExtensionDataNames">
-            A flag indicating whether extension data names should be processed.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.CamelCaseNamingStrategy.ResolvePropertyName(System.String)">
-            <summary>
-            Resolves the specified property name.
-            </summary>
-            <param name="name">The property name to resolve.</param>
-            <returns>The resolved property name.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.CamelCasePropertyNamesContractResolver">
-            <summary>
-            Resolves member mappings for a type, camel casing property names.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.CamelCasePropertyNamesContractResolver.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.CamelCasePropertyNamesContractResolver"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.CamelCasePropertyNamesContractResolver.ResolveContract(System.Type)">
-            <summary>
-            Resolves the contract for a given type.
-            </summary>
-            <param name="type">The type to resolve a contract for.</param>
-            <returns>The contract for a given type.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.DefaultContractResolver">
-            <summary>
-            Used by <see cref="T:Newtonsoft.Json.JsonSerializer"/> to resolve a <see cref="T:Newtonsoft.Json.Serialization.JsonContract"/> for a given <see cref="T:System.Type"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.DynamicCodeGeneration">
-            <summary>
-            Gets a value indicating whether members are being get and set using dynamic code generation.
-            This value is determined by the runtime permissions available.
-            </summary>
-            <value>
-            	<c>true</c> if using dynamic code generation; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.DefaultMembersSearchFlags">
-            <summary>
-            Gets or sets the default members search flags.
-            </summary>
-            <value>The default members search flags.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.SerializeCompilerGeneratedMembers">
-            <summary>
-            Gets or sets a value indicating whether compiler generated members should be serialized.
-            </summary>
-            <value>
-            	<c>true</c> if serialized compiler generated members; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.IgnoreSerializableInterface">
-            <summary>
-            Gets or sets a value indicating whether to ignore the <see cref="T:System.Runtime.Serialization.ISerializable"/> interface when serializing and deserializing types.
-            </summary>
-            <value>
-            	<c>true</c> if the <see cref="T:System.Runtime.Serialization.ISerializable"/> interface will be ignored when serializing and deserializing types; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.IgnoreSerializableAttribute">
-            <summary>
-            Gets or sets a value indicating whether to ignore the <see cref="T:System.SerializableAttribute"/> attribute when serializing and deserializing types.
-            </summary>
-            <value>
-            	<c>true</c> if the <see cref="T:System.SerializableAttribute"/> attribute will be ignored when serializing and deserializing types; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.IgnoreIsSpecifiedMembers">
-            <summary>
-            Gets or sets a value indicating whether to ignore IsSpecified members when serializing and deserializing types.
-            </summary>
-            <value>
-                <c>true</c> if the IsSpecified members will be ignored when serializing and deserializing types; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.IgnoreShouldSerializeMembers">
-            <summary>
-            Gets or sets a value indicating whether to ignore ShouldSerialize members when serializing and deserializing types.
-            </summary>
-            <value>
-                <c>true</c> if the ShouldSerialize members will be ignored when serializing and deserializing types; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DefaultContractResolver.NamingStrategy">
-            <summary>
-            Gets or sets the naming strategy used to resolve how property names and dictionary keys are serialized.
-            </summary>
-            <value>The naming strategy used to resolve how property names and dictionary keys are serialized.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.DefaultContractResolver"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.ResolveContract(System.Type)">
-            <summary>
-            Resolves the contract for a given type.
-            </summary>
-            <param name="type">The type to resolve a contract for.</param>
-            <returns>The contract for a given type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.GetSerializableMembers(System.Type)">
-            <summary>
-            Gets the serializable members for the type.
-            </summary>
-            <param name="objectType">The type to get serializable members for.</param>
-            <returns>The serializable members for the type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateObjectContract(System.Type)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Serialization.JsonObjectContract"/> for the given type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonObjectContract"/> for the given type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateConstructorParameters(System.Reflection.ConstructorInfo,Newtonsoft.Json.Serialization.JsonPropertyCollection)">
-            <summary>
-            Creates the constructor parameters.
-            </summary>
-            <param name="constructor">The constructor to create properties for.</param>
-            <param name="memberProperties">The type's member properties.</param>
-            <returns>Properties for the given <see cref="T:System.Reflection.ConstructorInfo"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreatePropertyFromConstructorParameter(Newtonsoft.Json.Serialization.JsonProperty,System.Reflection.ParameterInfo)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> for the given <see cref="T:System.Reflection.ParameterInfo"/>.
-            </summary>
-            <param name="matchingMemberProperty">The matching member property.</param>
-            <param name="parameterInfo">The constructor parameter.</param>
-            <returns>A created <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> for the given <see cref="T:System.Reflection.ParameterInfo"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.ResolveContractConverter(System.Type)">
-            <summary>
-            Resolves the default <see cref="T:Newtonsoft.Json.JsonConverter" /> for the contract.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>The contract's default <see cref="T:Newtonsoft.Json.JsonConverter" />.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateDictionaryContract(System.Type)">
-            <summary>
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-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonDictionaryContract"/> for the given type.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateArrayContract(System.Type)">
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-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonArrayContract"/> for the given type.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreatePrimitiveContract(System.Type)">
-            <summary>
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-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonPrimitiveContract"/> for the given type.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateLinqContract(System.Type)">
-            <summary>
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-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonLinqContract"/> for the given type.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateISerializableContract(System.Type)">
-            <summary>
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-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonISerializableContract"/> for the given type.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateDynamicContract(System.Type)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Serialization.JsonDynamicContract"/> for the given type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonDynamicContract"/> for the given type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateStringContract(System.Type)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Serialization.JsonStringContract"/> for the given type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonStringContract"/> for the given type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateContract(System.Type)">
-            <summary>
-            Determines which contract type is created for the given type.
-            </summary>
-            <param name="objectType">Type of the object.</param>
-            <returns>A <see cref="T:Newtonsoft.Json.Serialization.JsonContract"/> for the given type.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateProperties(System.Type,Newtonsoft.Json.MemberSerialization)">
-            <summary>
-            Creates properties for the given <see cref="T:Newtonsoft.Json.Serialization.JsonContract"/>.
-            </summary>
-            <param name="type">The type to create properties for.</param>
-            /// <param name="memberSerialization">The member serialization mode for the type.</param>
-            <returns>Properties for the given <see cref="T:Newtonsoft.Json.Serialization.JsonContract"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateMemberValueProvider(System.Reflection.MemberInfo)">
-            <summary>
-            Creates the <see cref="T:Newtonsoft.Json.Serialization.IValueProvider"/> used by the serializer to get and set values from a member.
-            </summary>
-            <param name="member">The member.</param>
-            <returns>The <see cref="T:Newtonsoft.Json.Serialization.IValueProvider"/> used by the serializer to get and set values from a member.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.CreateProperty(System.Reflection.MemberInfo,Newtonsoft.Json.MemberSerialization)">
-            <summary>
-            Creates a <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> for the given <see cref="T:System.Reflection.MemberInfo"/>.
-            </summary>
-            <param name="memberSerialization">The member's parent <see cref="T:Newtonsoft.Json.MemberSerialization"/>.</param>
-            <param name="member">The member to create a <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> for.</param>
-            <returns>A created <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> for the given <see cref="T:System.Reflection.MemberInfo"/>.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.ResolvePropertyName(System.String)">
-            <summary>
-            Resolves the name of the property.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <returns>Resolved name of the property.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.ResolveExtensionDataName(System.String)">
-            <summary>
-            Resolves the name of the extension data. By default no changes are made to extension data names.
-            </summary>
-            <param name="extensionDataName">Name of the extension data.</param>
-            <returns>Resolved name of the extension data.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.ResolveDictionaryKey(System.String)">
-            <summary>
-            Resolves the key of the dictionary. By default <see cref="M:Newtonsoft.Json.Serialization.DefaultContractResolver.ResolvePropertyName(System.String)"/> is used to resolve dictionary keys.
-            </summary>
-            <param name="dictionaryKey">Key of the dictionary.</param>
-            <returns>Resolved key of the dictionary.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultContractResolver.GetResolvedPropertyName(System.String)">
-            <summary>
-            Gets the resolved name of the property.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <returns>Name of the property.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.DefaultNamingStrategy">
-            <summary>
-            The default naming strategy. Property names and dictionary keys are unchanged.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultNamingStrategy.ResolvePropertyName(System.String)">
-            <summary>
-            Resolves the specified property name.
-            </summary>
-            <param name="name">The property name to resolve.</param>
-            <returns>The resolved property name.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.DefaultSerializationBinder">
-            <summary>
-            The default serialization binder used when resolving and loading classes from type names.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultSerializationBinder.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.DefaultSerializationBinder"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultSerializationBinder.BindToType(System.String,System.String)">
-            <summary>
-            When overridden in a derived class, controls the binding of a serialized object to a type.
-            </summary>
-            <param name="assemblyName">Specifies the <see cref="T:System.Reflection.Assembly"/> name of the serialized object.</param>
-            <param name="typeName">Specifies the <see cref="T:System.Type"/> name of the serialized object.</param>
-            <returns>
-            The type of the object the formatter creates a new instance of.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DefaultSerializationBinder.BindToName(System.Type,System.String@,System.String@)">
-            <summary>
-            When overridden in a derived class, controls the binding of a serialized object to a type.
-            </summary>
-            <param name="serializedType">The type of the object the formatter creates a new instance of.</param>
-            <param name="assemblyName">Specifies the <see cref="T:System.Reflection.Assembly"/> name of the serialized object.</param>
-            <param name="typeName">Specifies the <see cref="T:System.Type"/> name of the serialized object.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.DiagnosticsTraceWriter">
-            <summary>
-            Represents a trace writer that writes to the application's <see cref="T:System.Diagnostics.TraceListener"/> instances.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.DiagnosticsTraceWriter.LevelFilter">
-            <summary>
-            Gets the <see cref="T:System.Diagnostics.TraceLevel"/> that will be used to filter the trace messages passed to the writer.
-            For example a filter level of <see cref="F:System.Diagnostics.TraceLevel.Info"/> will exclude <see cref="F:System.Diagnostics.TraceLevel.Verbose"/> messages and include <see cref="F:System.Diagnostics.TraceLevel.Info"/>,
-            <see cref="F:System.Diagnostics.TraceLevel.Warning"/> and <see cref="F:System.Diagnostics.TraceLevel.Error"/> messages.
-            </summary>
-            <value>
-            The <see cref="T:System.Diagnostics.TraceLevel"/> that will be used to filter the trace messages passed to the writer.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DiagnosticsTraceWriter.Trace(System.Diagnostics.TraceLevel,System.String,System.Exception)">
-            <summary>
-            Writes the specified trace level, message and optional exception.
-            </summary>
-            <param name="level">The <see cref="T:System.Diagnostics.TraceLevel"/> at which to write this trace.</param>
-            <param name="message">The trace message.</param>
-            <param name="ex">The trace exception. This parameter is optional.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.DynamicValueProvider">
-            <summary>
-            Get and set values for a <see cref="T:System.Reflection.MemberInfo"/> using dynamic methods.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DynamicValueProvider.#ctor(System.Reflection.MemberInfo)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.DynamicValueProvider"/> class.
-            </summary>
-            <param name="memberInfo">The member info.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DynamicValueProvider.SetValue(System.Object,System.Object)">
-            <summary>
-            Sets the value.
-            </summary>
-            <param name="target">The target to set the value on.</param>
-            <param name="value">The value to set on the target.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.DynamicValueProvider.GetValue(System.Object)">
-            <summary>
-            Gets the value.
-            </summary>
-            <param name="target">The target to get the value from.</param>
-            <returns>The value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ErrorContext">
-            <summary>
-            Provides information surrounding an error.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorContext.Error">
-            <summary>
-            Gets the error.
-            </summary>
-            <value>The error.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorContext.OriginalObject">
-            <summary>
-            Gets the original object that caused the error.
-            </summary>
-            <value>The original object that caused the error.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorContext.Member">
-            <summary>
-            Gets the member that caused the error.
-            </summary>
-            <value>The member that caused the error.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorContext.Path">
-            <summary>
-            Gets the path of the JSON location where the error occurred.
-            </summary>
-            <value>The path of the JSON location where the error occurred.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorContext.Handled">
-            <summary>
-            Gets or sets a value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.ErrorContext"/> is handled.
-            </summary>
-            <value><c>true</c> if handled; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ErrorEventArgs">
-            <summary>
-            Provides data for the Error event.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorEventArgs.CurrentObject">
-            <summary>
-            Gets the current object the error event is being raised against.
-            </summary>
-            <value>The current object the error event is being raised against.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ErrorEventArgs.ErrorContext">
-            <summary>
-            Gets the error context.
-            </summary>
-            <value>The error context.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ErrorEventArgs.#ctor(System.Object,Newtonsoft.Json.Serialization.ErrorContext)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.ErrorEventArgs"/> class.
-            </summary>
-            <param name="currentObject">The current object.</param>
-            <param name="errorContext">The error context.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ExpressionValueProvider">
-            <summary>
-            Get and set values for a <see cref="T:System.Reflection.MemberInfo"/> using dynamic methods.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ExpressionValueProvider.#ctor(System.Reflection.MemberInfo)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.ExpressionValueProvider"/> class.
-            </summary>
-            <param name="memberInfo">The member info.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ExpressionValueProvider.SetValue(System.Object,System.Object)">
-            <summary>
-            Sets the value.
-            </summary>
-            <param name="target">The target to set the value on.</param>
-            <param name="value">The value to set on the target.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ExpressionValueProvider.GetValue(System.Object)">
-            <summary>
-            Gets the value.
-            </summary>
-            <param name="target">The target to get the value from.</param>
-            <returns>The value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.IAttributeProvider">
-            <summary>
-            Provides methods to get attributes.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IAttributeProvider.GetAttributes(System.Boolean)">
-            <summary>
-            Returns a collection of all of the attributes, or an empty collection if there are no attributes.
-            </summary>
-            <param name="inherit">When <c>true</c>, look up the hierarchy chain for the inherited custom attribute.</param>
-            <returns>A collection of <see cref="T:System.Attribute"/>s, or an empty collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IAttributeProvider.GetAttributes(System.Type,System.Boolean)">
-            <summary>
-            Returns a collection of attributes, identified by type, or an empty collection if there are no attributes.
-            </summary>
-            <param name="attributeType">The type of the attributes.</param>
-            <param name="inherit">When <c>true</c>, look up the hierarchy chain for the inherited custom attribute.</param>
-            <returns>A collection of <see cref="T:System.Attribute"/>s, or an empty collection.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.IContractResolver">
-            <summary>
-            Used by <see cref="T:Newtonsoft.Json.JsonSerializer"/> to resolve a <see cref="T:Newtonsoft.Json.Serialization.JsonContract"/> for a given <see cref="T:System.Type"/>.
-            </summary>
-            <example>
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="ReducingSerializedJsonSizeContractResolverObject" title="IContractResolver Class" />
-              <code lang="cs" source="..\Src\Newtonsoft.Json.Tests\Documentation\SerializationTests.cs" region="ReducingSerializedJsonSizeContractResolverExample" title="IContractResolver Example" />
-            </example>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IContractResolver.ResolveContract(System.Type)">
-            <summary>
-            Resolves the contract for a given type.
-            </summary>
-            <param name="type">The type to resolve a contract for.</param>
-            <returns>The contract for a given type.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.IReferenceResolver">
-            <summary>
-            Used to resolve references when serializing and deserializing JSON by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IReferenceResolver.ResolveReference(System.Object,System.String)">
-            <summary>
-            Resolves a reference to its object.
-            </summary>
-            <param name="context">The serialization context.</param>
-            <param name="reference">The reference to resolve.</param>
-            <returns>The object that was resolved from the reference.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IReferenceResolver.GetReference(System.Object,System.Object)">
-            <summary>
-            Gets the reference for the specified object.
-            </summary>
-            <param name="context">The serialization context.</param>
-            <param name="value">The object to get a reference for.</param>
-            <returns>The reference to the object.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IReferenceResolver.IsReferenced(System.Object,System.Object)">
-            <summary>
-            Determines whether the specified object is referenced.
-            </summary>
-            <param name="context">The serialization context.</param>
-            <param name="value">The object to test for a reference.</param>
-            <returns>
-            	<c>true</c> if the specified object is referenced; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IReferenceResolver.AddReference(System.Object,System.String,System.Object)">
-            <summary>
-            Adds a reference to the specified object.
-            </summary>
-            <param name="context">The serialization context.</param>
-            <param name="reference">The reference.</param>
-            <param name="value">The object to reference.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ISerializationBinder">
-            <summary>
-            Allows users to control class loading and mandate what class to load.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ISerializationBinder.BindToType(System.String,System.String)">
-            <summary>
-            When implemented, controls the binding of a serialized object to a type.
-            </summary>
-            <param name="assemblyName">Specifies the <see cref="T:System.Reflection.Assembly"/> name of the serialized object.</param>
-            <param name="typeName">Specifies the <see cref="T:System.Type"/> name of the serialized object</param>
-            <returns>The type of the object the formatter creates a new instance of.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ISerializationBinder.BindToName(System.Type,System.String@,System.String@)">
-            <summary>
-            When implemented, controls the binding of a serialized object to a type.
-            </summary>
-            <param name="serializedType">The type of the object the formatter creates a new instance of.</param>
-            <param name="assemblyName">Specifies the <see cref="T:System.Reflection.Assembly"/> name of the serialized object.</param>
-            <param name="typeName">Specifies the <see cref="T:System.Type"/> name of the serialized object.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ITraceWriter">
-            <summary>
-            Represents a trace writer.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.ITraceWriter.LevelFilter">
-            <summary>
-            Gets the <see cref="T:System.Diagnostics.TraceLevel"/> that will be used to filter the trace messages passed to the writer.
-            For example a filter level of <see cref="F:System.Diagnostics.TraceLevel.Info"/> will exclude <see cref="F:System.Diagnostics.TraceLevel.Verbose"/> messages and include <see cref="F:System.Diagnostics.TraceLevel.Info"/>,
-            <see cref="F:System.Diagnostics.TraceLevel.Warning"/> and <see cref="F:System.Diagnostics.TraceLevel.Error"/> messages.
-            </summary>
-            <value>The <see cref="T:System.Diagnostics.TraceLevel"/> that will be used to filter the trace messages passed to the writer.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ITraceWriter.Trace(System.Diagnostics.TraceLevel,System.String,System.Exception)">
-            <summary>
-            Writes the specified trace level, message and optional exception.
-            </summary>
-            <param name="level">The <see cref="T:System.Diagnostics.TraceLevel"/> at which to write this trace.</param>
-            <param name="message">The trace message.</param>
-            <param name="ex">The trace exception. This parameter is optional.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.IValueProvider">
-            <summary>
-            Provides methods to get and set values.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IValueProvider.SetValue(System.Object,System.Object)">
-            <summary>
-            Sets the value.
-            </summary>
-            <param name="target">The target to set the value on.</param>
-            <param name="value">The value to set on the target.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.IValueProvider.GetValue(System.Object)">
-            <summary>
-            Gets the value.
-            </summary>
-            <param name="target">The target to get the value from.</param>
-            <returns>The value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonArrayContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonArrayContract.CollectionItemType">
-            <summary>
-            Gets the <see cref="T:System.Type"/> of the collection items.
-            </summary>
-            <value>The <see cref="T:System.Type"/> of the collection items.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonArrayContract.IsMultidimensionalArray">
-            <summary>
-            Gets a value indicating whether the collection type is a multidimensional array.
-            </summary>
-            <value><c>true</c> if the collection type is a multidimensional array; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonArrayContract.OverrideCreator">
-            <summary>
-            Gets or sets the function used to create the object. When set this function will override <see cref="P:Newtonsoft.Json.Serialization.JsonContract.DefaultCreator"/>.
-            </summary>
-            <value>The function used to create the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonArrayContract.HasParameterizedCreator">
-            <summary>
-            Gets a value indicating whether the creator has a parameter with the collection values.
-            </summary>
-            <value><c>true</c> if the creator has a parameter with the collection values; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonArrayContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonArrayContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonContainerContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContainerContract.ItemConverter">
-            <summary>
-            Gets or sets the default collection items <see cref="T:Newtonsoft.Json.JsonConverter" />.
-            </summary>
-            <value>The converter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContainerContract.ItemIsReference">
-            <summary>
-            Gets or sets a value indicating whether the collection items preserve object references.
-            </summary>
-            <value><c>true</c> if collection items preserve object references; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContainerContract.ItemReferenceLoopHandling">
-            <summary>
-            Gets or sets the collection item reference loop handling.
-            </summary>
-            <value>The reference loop handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContainerContract.ItemTypeNameHandling">
-            <summary>
-            Gets or sets the collection item type name handling.
-            </summary>
-            <value>The type name handling.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonContainerContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonContainerContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.SerializationCallback">
-            <summary>
-            Handles <see cref="T:Newtonsoft.Json.JsonSerializer"/> serialization callback events.
-            </summary>
-            <param name="o">The object that raised the callback event.</param>
-            <param name="context">The streaming context.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.SerializationErrorCallback">
-            <summary>
-            Handles <see cref="T:Newtonsoft.Json.JsonSerializer"/> serialization error callback events.
-            </summary>
-            <param name="o">The object that raised the callback event.</param>
-            <param name="context">The streaming context.</param>
-            <param name="errorContext">The error context.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ExtensionDataSetter">
-            <summary>
-            Sets extension data for an object during deserialization.
-            </summary>
-            <param name="o">The object to set extension data on.</param>
-            <param name="key">The extension data key.</param>
-            <param name="value">The extension data value.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ExtensionDataGetter">
-            <summary>
-            Gets extension data for an object during serialization.
-            </summary>
-            <param name="o">The object to set extension data on.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.UnderlyingType">
-            <summary>
-            Gets the underlying type for the contract.
-            </summary>
-            <value>The underlying type for the contract.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.CreatedType">
-            <summary>
-            Gets or sets the type created during deserialization.
-            </summary>
-            <value>The type created during deserialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.IsReference">
-            <summary>
-            Gets or sets whether this type contract is serialized as a reference.
-            </summary>
-            <value>Whether this type contract is serialized as a reference.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.Converter">
-            <summary>
-            Gets or sets the default <see cref="T:Newtonsoft.Json.JsonConverter" /> for this contract.
-            </summary>
-            <value>The converter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.InternalConverter">
-            <summary>
-            Gets the internally resolved <see cref="T:Newtonsoft.Json.JsonConverter"/> for the contract's type.
-            This converter is used as a fallback converter when no other converter is resolved.
-            Setting <see cref="P:Newtonsoft.Json.Serialization.JsonContract.Converter"/> will always override this converter.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.OnDeserializedCallbacks">
-            <summary>
-            Gets or sets all methods called immediately after deserialization of the object.
-            </summary>
-            <value>The methods called immediately after deserialization of the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.OnDeserializingCallbacks">
-            <summary>
-            Gets or sets all methods called during deserialization of the object.
-            </summary>
-            <value>The methods called during deserialization of the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.OnSerializedCallbacks">
-            <summary>
-            Gets or sets all methods called after serialization of the object graph.
-            </summary>
-            <value>The methods called after serialization of the object graph.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.OnSerializingCallbacks">
-            <summary>
-            Gets or sets all methods called before serialization of the object.
-            </summary>
-            <value>The methods called before serialization of the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.OnErrorCallbacks">
-            <summary>
-            Gets or sets all method called when an error is thrown during the serialization of the object.
-            </summary>
-            <value>The methods called when an error is thrown during the serialization of the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.DefaultCreator">
-            <summary>
-            Gets or sets the default creator method used to create the object.
-            </summary>
-            <value>The default creator method used to create the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonContract.DefaultCreatorNonPublic">
-            <summary>
-            Gets or sets a value indicating whether the default creator is non-public.
-            </summary>
-            <value><c>true</c> if the default object creator is non-public; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonDictionaryContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDictionaryContract.DictionaryKeyResolver">
-            <summary>
-            Gets or sets the dictionary key resolver.
-            </summary>
-            <value>The dictionary key resolver.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDictionaryContract.DictionaryKeyType">
-            <summary>
-            Gets the <see cref="T:System.Type"/> of the dictionary keys.
-            </summary>
-            <value>The <see cref="T:System.Type"/> of the dictionary keys.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDictionaryContract.DictionaryValueType">
-            <summary>
-            Gets the <see cref="T:System.Type"/> of the dictionary values.
-            </summary>
-            <value>The <see cref="T:System.Type"/> of the dictionary values.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDictionaryContract.OverrideCreator">
-            <summary>
-            Gets or sets the function used to create the object. When set this function will override <see cref="P:Newtonsoft.Json.Serialization.JsonContract.DefaultCreator"/>.
-            </summary>
-            <value>The function used to create the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDictionaryContract.HasParameterizedCreator">
-            <summary>
-            Gets a value indicating whether the creator has a parameter with the dictionary values.
-            </summary>
-            <value><c>true</c> if the creator has a parameter with the dictionary values; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonDictionaryContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonDictionaryContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonDynamicContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDynamicContract.Properties">
-            <summary>
-            Gets the object's properties.
-            </summary>
-            <value>The object's properties.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonDynamicContract.PropertyNameResolver">
-            <summary>
-            Gets or sets the property name resolver.
-            </summary>
-            <value>The property name resolver.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonDynamicContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonDynamicContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonISerializableContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonISerializableContract.ISerializableCreator">
-            <summary>
-            Gets or sets the <see cref="T:System.Runtime.Serialization.ISerializable"/> object constructor.
-            </summary>
-            <value>The <see cref="T:System.Runtime.Serialization.ISerializable"/> object constructor.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonISerializableContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonISerializableContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonLinqContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonLinqContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonLinqContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonObjectContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.MemberSerialization">
-            <summary>
-            Gets or sets the object member serialization.
-            </summary>
-            <value>The member object serialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.MissingMemberHandling">
-            <summary>
-            Gets or sets the missing member handling used when deserializing this object.
-            </summary>
-            <value>The missing member handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.ItemRequired">
-            <summary>
-            Gets or sets a value that indicates whether the object's properties are required.
-            </summary>
-            <value>
-            	A value indicating whether the object's properties are required.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.ItemNullValueHandling">
-            <summary>
-            Gets or sets how the object's properties with null values are handled during serialization and deserialization.
-            </summary>
-            <value>How the object's properties with null values are handled during serialization and deserialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.Properties">
-            <summary>
-            Gets the object's properties.
-            </summary>
-            <value>The object's properties.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.CreatorParameters">
-            <summary>
-            Gets a collection of <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> instances that define the parameters used with <see cref="P:Newtonsoft.Json.Serialization.JsonObjectContract.OverrideCreator"/>.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.OverrideCreator">
-            <summary>
-            Gets or sets the function used to create the object. When set this function will override <see cref="P:Newtonsoft.Json.Serialization.JsonContract.DefaultCreator"/>.
-            This function is called with a collection of arguments which are defined by the <see cref="P:Newtonsoft.Json.Serialization.JsonObjectContract.CreatorParameters"/> collection.
-            </summary>
-            <value>The function used to create the object.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.ExtensionDataSetter">
-            <summary>
-            Gets or sets the extension data setter.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.ExtensionDataGetter">
-            <summary>
-            Gets or sets the extension data getter.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.ExtensionDataValueType">
-            <summary>
-            Gets or sets the extension data value type.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonObjectContract.ExtensionDataNameResolver">
-            <summary>
-            Gets or sets the extension data name resolver.
-            </summary>
-            <value>The extension data name resolver.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonObjectContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonObjectContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonPrimitiveContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonPrimitiveContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonPrimitiveContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonProperty">
-            <summary>
-            Maps a JSON property to a .NET member or constructor parameter.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.PropertyName">
-            <summary>
-            Gets or sets the name of the property.
-            </summary>
-            <value>The name of the property.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.DeclaringType">
-            <summary>
-            Gets or sets the type that declared this property.
-            </summary>
-            <value>The type that declared this property.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.Order">
-            <summary>
-            Gets or sets the order of serialization of a member.
-            </summary>
-            <value>The numeric order of serialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.UnderlyingName">
-            <summary>
-            Gets or sets the name of the underlying member or parameter.
-            </summary>
-            <value>The name of the underlying member or parameter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ValueProvider">
-            <summary>
-            Gets the <see cref="T:Newtonsoft.Json.Serialization.IValueProvider"/> that will get and set the <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> during serialization.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Serialization.IValueProvider"/> that will get and set the <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> during serialization.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.AttributeProvider">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.Serialization.IAttributeProvider"/> for this property.
-            </summary>
-            <value>The <see cref="T:Newtonsoft.Json.Serialization.IAttributeProvider"/> for this property.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.PropertyType">
-            <summary>
-            Gets or sets the type of the property.
-            </summary>
-            <value>The type of the property.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.Converter">
-            <summary>
-            Gets or sets the <see cref="T:Newtonsoft.Json.JsonConverter" /> for the property.
-            If set this converter takes precedence over the contract converter for the property type.
-            </summary>
-            <value>The converter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.MemberConverter">
-            <summary>
-            Gets or sets the member converter.
-            </summary>
-            <value>The member converter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.Ignored">
-            <summary>
-            Gets or sets a value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> is ignored.
-            </summary>
-            <value><c>true</c> if ignored; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.Readable">
-            <summary>
-            Gets or sets a value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> is readable.
-            </summary>
-            <value><c>true</c> if readable; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.Writable">
-            <summary>
-            Gets or sets a value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> is writable.
-            </summary>
-            <value><c>true</c> if writable; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.HasMemberAttribute">
-            <summary>
-            Gets or sets a value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> has a member attribute.
-            </summary>
-            <value><c>true</c> if has a member attribute; otherwise, <c>false</c>.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.DefaultValue">
-            <summary>
-            Gets the default value.
-            </summary>
-            <value>The default value.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.Required">
-            <summary>
-            Gets or sets a value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> is required.
-            </summary>
-            <value>A value indicating whether this <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> is required.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.IsRequiredSpecified">
-            <summary>
-            Gets a value indicating whether <see cref="P:Newtonsoft.Json.Serialization.JsonProperty.Required"/> has a value specified.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.IsReference">
-            <summary>
-            Gets or sets a value indicating whether this property preserves object references.
-            </summary>
-            <value>
-            	<c>true</c> if this instance is reference; otherwise, <c>false</c>.
-            </value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.NullValueHandling">
-            <summary>
-            Gets or sets the property null value handling.
-            </summary>
-            <value>The null value handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.DefaultValueHandling">
-            <summary>
-            Gets or sets the property default value handling.
-            </summary>
-            <value>The default value handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ReferenceLoopHandling">
-            <summary>
-            Gets or sets the property reference loop handling.
-            </summary>
-            <value>The reference loop handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ObjectCreationHandling">
-            <summary>
-            Gets or sets the property object creation handling.
-            </summary>
-            <value>The object creation handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.TypeNameHandling">
-            <summary>
-            Gets or sets or sets the type name handling.
-            </summary>
-            <value>The type name handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ShouldSerialize">
-            <summary>
-            Gets or sets a predicate used to determine whether the property should be serialized.
-            </summary>
-            <value>A predicate used to determine whether the property should be serialized.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ShouldDeserialize">
-            <summary>
-            Gets or sets a predicate used to determine whether the property should be deserialized.
-            </summary>
-            <value>A predicate used to determine whether the property should be deserialized.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.GetIsSpecified">
-            <summary>
-            Gets or sets a predicate used to determine whether the property should be serialized.
-            </summary>
-            <value>A predicate used to determine whether the property should be serialized.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.SetIsSpecified">
-            <summary>
-            Gets or sets an action used to set whether the property has been deserialized.
-            </summary>
-            <value>An action used to set whether the property has been deserialized.</value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonProperty.ToString">
-            <summary>
-            Returns a <see cref="T:System.String"/> that represents this instance.
-            </summary>
-            <returns>
-            A <see cref="T:System.String"/> that represents this instance.
-            </returns>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ItemConverter">
-            <summary>
-            Gets or sets the converter used when serializing the property's collection items.
-            </summary>
-            <value>The collection's items converter.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ItemIsReference">
-            <summary>
-            Gets or sets whether this property's collection items are serialized as a reference.
-            </summary>
-            <value>Whether this property's collection items are serialized as a reference.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ItemTypeNameHandling">
-            <summary>
-            Gets or sets the type name handling used when serializing the property's collection items.
-            </summary>
-            <value>The collection's items type name handling.</value>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.JsonProperty.ItemReferenceLoopHandling">
-            <summary>
-            Gets or sets the reference loop handling used when serializing the property's collection items.
-            </summary>
-            <value>The collection's items reference loop handling.</value>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonPropertyCollection">
-            <summary>
-            A collection of <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> objects.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonPropertyCollection.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonPropertyCollection"/> class.
-            </summary>
-            <param name="type">The type.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonPropertyCollection.GetKeyForItem(Newtonsoft.Json.Serialization.JsonProperty)">
-            <summary>
-            When implemented in a derived class, extracts the key from the specified element.
-            </summary>
-            <param name="item">The element from which to extract the key.</param>
-            <returns>The key for the specified element.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonPropertyCollection.AddProperty(Newtonsoft.Json.Serialization.JsonProperty)">
-            <summary>
-            Adds a <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> object.
-            </summary>
-            <param name="property">The property to add to the collection.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonPropertyCollection.GetClosestMatchProperty(System.String)">
-            <summary>
-            Gets the closest matching <see cref="T:Newtonsoft.Json.Serialization.JsonProperty"/> object.
-            First attempts to get an exact case match of <paramref name="propertyName"/> and then
-            a case insensitive match.
-            </summary>
-            <param name="propertyName">Name of the property.</param>
-            <returns>A matching property if found.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonPropertyCollection.GetProperty(System.String,System.StringComparison)">
-            <summary>
-            Gets a property by property name.
-            </summary>
-            <param name="propertyName">The name of the property to get.</param>
-            <param name="comparisonType">Type property name string comparison.</param>
-            <returns>A matching property if found.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.JsonStringContract">
-            <summary>
-            Contract details for a <see cref="T:System.Type"/> used by the <see cref="T:Newtonsoft.Json.JsonSerializer"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonStringContract.#ctor(System.Type)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.JsonStringContract"/> class.
-            </summary>
-            <param name="underlyingType">The underlying type for the contract.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.JsonTypeReflector.CreateJsonConverterInstance(System.Type,System.Object[])">
-            <summary>
-            Lookup and create an instance of the <see cref="T:Newtonsoft.Json.JsonConverter"/> type described by the argument.
-            </summary>
-            <param name="converterType">The <see cref="T:Newtonsoft.Json.JsonConverter"/> type to create.</param>
-            <param name="args">Optional arguments to pass to an initializing constructor of the JsonConverter.
-            If <c>null</c>, the default constructor is used.</param>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy">
-            <summary>
-            A kebab case naming strategy.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy.#ctor(System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy"/> class.
-            </summary>
-            <param name="processDictionaryKeys">
-            A flag indicating whether dictionary keys should be processed.
-            </param>
-            <param name="overrideSpecifiedNames">
-            A flag indicating whether explicitly specified property names should be processed,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy.#ctor(System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy"/> class.
-            </summary>
-            <param name="processDictionaryKeys">
-            A flag indicating whether dictionary keys should be processed.
-            </param>
-            <param name="overrideSpecifiedNames">
-            A flag indicating whether explicitly specified property names should be processed,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>.
-            </param>
-            <param name="processExtensionDataNames">
-            A flag indicating whether extension data names should be processed.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.KebabCaseNamingStrategy.ResolvePropertyName(System.String)">
-            <summary>
-            Resolves the specified property name.
-            </summary>
-            <param name="name">The property name to resolve.</param>
-            <returns>The resolved property name.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.MemoryTraceWriter">
-            <summary>
-            Represents a trace writer that writes to memory. When the trace message limit is
-            reached then old trace messages will be removed as new messages are added.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.MemoryTraceWriter.LevelFilter">
-            <summary>
-            Gets the <see cref="T:System.Diagnostics.TraceLevel"/> that will be used to filter the trace messages passed to the writer.
-            For example a filter level of <see cref="F:System.Diagnostics.TraceLevel.Info"/> will exclude <see cref="F:System.Diagnostics.TraceLevel.Verbose"/> messages and include <see cref="F:System.Diagnostics.TraceLevel.Info"/>,
-            <see cref="F:System.Diagnostics.TraceLevel.Warning"/> and <see cref="F:System.Diagnostics.TraceLevel.Error"/> messages.
-            </summary>
-            <value>
-            The <see cref="T:System.Diagnostics.TraceLevel"/> that will be used to filter the trace messages passed to the writer.
-            </value>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.MemoryTraceWriter.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.MemoryTraceWriter"/> class.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.MemoryTraceWriter.Trace(System.Diagnostics.TraceLevel,System.String,System.Exception)">
-            <summary>
-            Writes the specified trace level, message and optional exception.
-            </summary>
-            <param name="level">The <see cref="T:System.Diagnostics.TraceLevel"/> at which to write this trace.</param>
-            <param name="message">The trace message.</param>
-            <param name="ex">The trace exception. This parameter is optional.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.MemoryTraceWriter.GetTraceMessages">
-            <summary>
-            Returns an enumeration of the most recent trace messages.
-            </summary>
-            <returns>An enumeration of the most recent trace messages.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.MemoryTraceWriter.ToString">
-            <summary>
-            Returns a <see cref="T:System.String"/> of the most recent trace messages.
-            </summary>
-            <returns>
-            A <see cref="T:System.String"/> of the most recent trace messages.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.NamingStrategy">
-            <summary>
-            A base class for resolving how property names and dictionary keys are serialized.
-            </summary>
-        </member>
-        <member name="P:Newtonsoft.Json.Serialization.NamingStrategy.ProcessDictionaryKeys">
-            <summary>
-            A flag indicating whether dictionary keys should be processed.
-            Defaults to <c>false</c>.
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-        <member name="P:Newtonsoft.Json.Serialization.NamingStrategy.ProcessExtensionDataNames">
-            <summary>
-            A flag indicating whether extension data names should be processed.
-            Defaults to <c>false</c>.
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-        <member name="P:Newtonsoft.Json.Serialization.NamingStrategy.OverrideSpecifiedNames">
-            <summary>
-            A flag indicating whether explicitly specified property names,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>, should be processed.
-            Defaults to <c>false</c>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.GetPropertyName(System.String,System.Boolean)">
-            <summary>
-            Gets the serialized name for a given property name.
-            </summary>
-            <param name="name">The initial property name.</param>
-            <param name="hasSpecifiedName">A flag indicating whether the property has had a name explicitly specified.</param>
-            <returns>The serialized property name.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.GetExtensionDataName(System.String)">
-            <summary>
-            Gets the serialized name for a given extension data name.
-            </summary>
-            <param name="name">The initial extension data name.</param>
-            <returns>The serialized extension data name.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.GetDictionaryKey(System.String)">
-            <summary>
-            Gets the serialized key for a given dictionary key.
-            </summary>
-            <param name="key">The initial dictionary key.</param>
-            <returns>The serialized dictionary key.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.ResolvePropertyName(System.String)">
-            <summary>
-            Resolves the specified property name.
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-            <param name="name">The property name to resolve.</param>
-            <returns>The resolved property name.</returns>
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-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.GetHashCode">
-            <summary>
-            Hash code calculation
-            </summary>
-            <returns></returns>
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-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.Equals(System.Object)">
-            <summary>
-            Object equality implementation
-            </summary>
-            <param name="obj"></param>
-            <returns></returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.NamingStrategy.Equals(Newtonsoft.Json.Serialization.NamingStrategy)">
-            <summary>
-            Compare to another NamingStrategy
-            </summary>
-            <param name="other"></param>
-            <returns></returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ObjectConstructor`1">
-            <summary>
-            Represents a method that constructs an object.
-            </summary>
-            <typeparam name="T">The object type to create.</typeparam>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.OnErrorAttribute">
-            <summary>
-            When applied to a method, specifies that the method is called when an error occurs serializing an object.
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ReflectionAttributeProvider">
-            <summary>
-            Provides methods to get attributes from a <see cref="T:System.Type"/>, <see cref="T:System.Reflection.MemberInfo"/>, <see cref="T:System.Reflection.ParameterInfo"/> or <see cref="T:System.Reflection.Assembly"/>.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ReflectionAttributeProvider.#ctor(System.Object)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.ReflectionAttributeProvider"/> class.
-            </summary>
-            <param name="attributeProvider">The instance to get attributes for. This parameter should be a <see cref="T:System.Type"/>, <see cref="T:System.Reflection.MemberInfo"/>, <see cref="T:System.Reflection.ParameterInfo"/> or <see cref="T:System.Reflection.Assembly"/>.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ReflectionAttributeProvider.GetAttributes(System.Boolean)">
-            <summary>
-            Returns a collection of all of the attributes, or an empty collection if there are no attributes.
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-            <param name="inherit">When <c>true</c>, look up the hierarchy chain for the inherited custom attribute.</param>
-            <returns>A collection of <see cref="T:System.Attribute"/>s, or an empty collection.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ReflectionAttributeProvider.GetAttributes(System.Type,System.Boolean)">
-            <summary>
-            Returns a collection of attributes, identified by type, or an empty collection if there are no attributes.
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-            <param name="attributeType">The type of the attributes.</param>
-            <param name="inherit">When <c>true</c>, look up the hierarchy chain for the inherited custom attribute.</param>
-            <returns>A collection of <see cref="T:System.Attribute"/>s, or an empty collection.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.ReflectionValueProvider">
-            <summary>
-            Get and set values for a <see cref="T:System.Reflection.MemberInfo"/> using reflection.
-            </summary>
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-        <member name="M:Newtonsoft.Json.Serialization.ReflectionValueProvider.#ctor(System.Reflection.MemberInfo)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.ReflectionValueProvider"/> class.
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-            <param name="memberInfo">The member info.</param>
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-        <member name="M:Newtonsoft.Json.Serialization.ReflectionValueProvider.SetValue(System.Object,System.Object)">
-            <summary>
-            Sets the value.
-            </summary>
-            <param name="target">The target to set the value on.</param>
-            <param name="value">The value to set on the target.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.ReflectionValueProvider.GetValue(System.Object)">
-            <summary>
-            Gets the value.
-            </summary>
-            <param name="target">The target to get the value from.</param>
-            <returns>The value.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy">
-            <summary>
-            A snake case naming strategy.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy.#ctor(System.Boolean,System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy"/> class.
-            </summary>
-            <param name="processDictionaryKeys">
-            A flag indicating whether dictionary keys should be processed.
-            </param>
-            <param name="overrideSpecifiedNames">
-            A flag indicating whether explicitly specified property names should be processed,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy.#ctor(System.Boolean,System.Boolean,System.Boolean)">
-            <summary>
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-            A flag indicating whether dictionary keys should be processed.
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-            <param name="overrideSpecifiedNames">
-            A flag indicating whether explicitly specified property names should be processed,
-            e.g. a property name customized with a <see cref="T:Newtonsoft.Json.JsonPropertyAttribute"/>.
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-            <param name="processExtensionDataNames">
-            A flag indicating whether extension data names should be processed.
-            </param>
-        </member>
-        <member name="M:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy.#ctor">
-            <summary>
-            Initializes a new instance of the <see cref="T:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy"/> class.
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-        <member name="M:Newtonsoft.Json.Serialization.SnakeCaseNamingStrategy.ResolvePropertyName(System.String)">
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-            <param name="name">The property name to resolve.</param>
-            <returns>The resolved property name.</returns>
-        </member>
-        <member name="T:Newtonsoft.Json.StringEscapeHandling">
-            <summary>
-            Specifies how strings are escaped when writing JSON text.
-            </summary>
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-        <member name="F:Newtonsoft.Json.StringEscapeHandling.Default">
-            <summary>
-            Only control characters (e.g. newline) are escaped.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.StringEscapeHandling.EscapeNonAscii">
-            <summary>
-            All non-ASCII and control characters (e.g. newline) are escaped.
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-        <member name="F:Newtonsoft.Json.StringEscapeHandling.EscapeHtml">
-            <summary>
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-            </summary>
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-            <summary>
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-            </summary>
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-        <member name="T:Newtonsoft.Json.TypeNameHandling">
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-            </summary>
-            <remarks>
-            <see cref="P:Newtonsoft.Json.JsonSerializer.TypeNameHandling"/> should be used with caution when your application deserializes JSON from an external source.
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-        <member name="F:Newtonsoft.Json.TypeNameHandling.None">
-            <summary>
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-        <member name="F:Newtonsoft.Json.TypeNameHandling.Objects">
-            <summary>
-            Include the .NET type name when serializing into a JSON object structure.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.TypeNameHandling.Arrays">
-            <summary>
-            Include the .NET type name when serializing into a JSON array structure.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.TypeNameHandling.All">
-            <summary>
-            Always include the .NET type name when serializing.
-            </summary>
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-        <member name="F:Newtonsoft.Json.TypeNameHandling.Auto">
-            <summary>
-            Include the .NET type name when the type of the object being serialized is not the same as its declared type.
-            Note that this doesn't include the root serialized object by default. To include the root object's type name in JSON
-            you must specify a root type object with <see cref="M:Newtonsoft.Json.JsonConvert.SerializeObject(System.Object,System.Type,Newtonsoft.Json.JsonSerializerSettings)"/>
-            or <see cref="M:Newtonsoft.Json.JsonSerializer.Serialize(Newtonsoft.Json.JsonWriter,System.Object,System.Type)"/>.
-            </summary>
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-        <member name="M:Newtonsoft.Json.Utilities.CollectionUtils.IsNullOrEmpty``1(System.Collections.Generic.ICollection{``0})">
-            <summary>
-            Determines whether the collection is <c>null</c> or empty.
-            </summary>
-            <param name="collection">The collection.</param>
-            <returns>
-            	<c>true</c> if the collection is <c>null</c> or empty; otherwise, <c>false</c>.
-            </returns>
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-        <member name="M:Newtonsoft.Json.Utilities.CollectionUtils.AddRange``1(System.Collections.Generic.IList{``0},System.Collections.Generic.IEnumerable{``0})">
-            <summary>
-            Adds the elements of the specified collection to the specified generic <see cref="T:System.Collections.Generic.IList`1"/>.
-            </summary>
-            <param name="initial">The list to add to.</param>
-            <param name="collection">The collection of elements to add.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ConvertUtils.ConvertOrCast(System.Object,System.Globalization.CultureInfo,System.Type)">
-            <summary>
-            Converts the value to the specified type. If the value is unable to be converted, the
-            value is checked whether it assignable to the specified type.
-            </summary>
-            <param name="initialValue">The value to convert.</param>
-            <param name="culture">The culture to use when converting.</param>
-            <param name="targetType">The type to convert or cast the value to.</param>
-            <returns>
-            The converted type. If conversion was unsuccessful, the initial value
-            is returned if assignable to the target type.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.DynamicProxyMetaObject`1.CallMethodWithResult(System.String,System.Dynamic.DynamicMetaObjectBinder,System.Collections.Generic.IEnumerable{System.Linq.Expressions.Expression},Newtonsoft.Json.Utilities.DynamicProxyMetaObject{`0}.Fallback,Newtonsoft.Json.Utilities.DynamicProxyMetaObject{`0}.Fallback)">
-            <summary>
-            Helper method for generating a MetaObject which calls a
-            specific method on Dynamic that returns a result
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.DynamicProxyMetaObject`1.CallMethodReturnLast(System.String,System.Dynamic.DynamicMetaObjectBinder,System.Collections.Generic.IEnumerable{System.Linq.Expressions.Expression},Newtonsoft.Json.Utilities.DynamicProxyMetaObject{`0}.Fallback)">
-            <summary>
-            Helper method for generating a MetaObject which calls a
-            specific method on Dynamic, but uses one of the arguments for
-            the result.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.DynamicProxyMetaObject`1.CallMethodNoResult(System.String,System.Dynamic.DynamicMetaObjectBinder,System.Linq.Expressions.Expression[],Newtonsoft.Json.Utilities.DynamicProxyMetaObject{`0}.Fallback)">
-            <summary>
-            Helper method for generating a MetaObject which calls a
-            specific method on Dynamic, but uses one of the arguments for
-            the result.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.DynamicProxyMetaObject`1.GetRestrictions">
-            <summary>
-            Returns a Restrictions object which includes our current restrictions merged
-            with a restriction limiting our type
-            </summary>
-        </member>
-        <member name="T:Newtonsoft.Json.Utilities.ImmutableCollectionsUtils">
-            <summary>
-            Helper class for serializing immutable collections.
-            Note that this is used by all builds, even those that don't support immutable collections, in case the DLL is GACed
-            https://github.com/JamesNK/Newtonsoft.Json/issues/652
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.GetCollectionItemType(System.Type)">
-            <summary>
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-            </summary>
-            <param name="type">The type.</param>
-            <returns>The type of the typed collection's items.</returns>
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-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.GetMemberUnderlyingType(System.Reflection.MemberInfo)">
-            <summary>
-            Gets the member's underlying type.
-            </summary>
-            <param name="member">The member.</param>
-            <returns>The underlying type of the member.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.IsIndexedProperty(System.Reflection.PropertyInfo)">
-            <summary>
-            Determines whether the property is an indexed property.
-            </summary>
-            <param name="property">The property.</param>
-            <returns>
-            	<c>true</c> if the property is an indexed property; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.GetMemberValue(System.Reflection.MemberInfo,System.Object)">
-            <summary>
-            Gets the member's value on the object.
-            </summary>
-            <param name="member">The member.</param>
-            <param name="target">The target object.</param>
-            <returns>The member's value on the object.</returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.SetMemberValue(System.Reflection.MemberInfo,System.Object,System.Object)">
-            <summary>
-            Sets the member's value on the target object.
-            </summary>
-            <param name="member">The member.</param>
-            <param name="target">The target.</param>
-            <param name="value">The value.</param>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.CanReadMemberValue(System.Reflection.MemberInfo,System.Boolean)">
-            <summary>
-            Determines whether the specified MemberInfo can be read.
-            </summary>
-            <param name="member">The MemberInfo to determine whether can be read.</param>
-            /// <param name="nonPublic">if set to <c>true</c> then allow the member to be gotten non-publicly.</param>
-            <returns>
-            	<c>true</c> if the specified MemberInfo can be read; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.ReflectionUtils.CanSetMemberValue(System.Reflection.MemberInfo,System.Boolean,System.Boolean)">
-            <summary>
-            Determines whether the specified MemberInfo can be set.
-            </summary>
-            <param name="member">The MemberInfo to determine whether can be set.</param>
-            <param name="nonPublic">if set to <c>true</c> then allow the member to be set non-publicly.</param>
-            <param name="canSetReadOnly">if set to <c>true</c> then allow the member to be set if read-only.</param>
-            <returns>
-            	<c>true</c> if the specified MemberInfo can be set; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.Utilities.StringBuffer">
-            <summary>
-            Builds a string. Unlike <see cref="T:System.Text.StringBuilder"/> this class lets you reuse its internal buffer.
-            </summary>
-        </member>
-        <member name="M:Newtonsoft.Json.Utilities.StringUtils.IsWhiteSpace(System.String)">
-            <summary>
-            Determines whether the string is all white space. Empty string will return <c>false</c>.
-            </summary>
-            <param name="s">The string to test whether it is all white space.</param>
-            <returns>
-            	<c>true</c> if the string is all white space; otherwise, <c>false</c>.
-            </returns>
-        </member>
-        <member name="T:Newtonsoft.Json.WriteState">
-            <summary>
-            Specifies the state of the <see cref="T:Newtonsoft.Json.JsonWriter"/>.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Error">
-            <summary>
-            An exception has been thrown, which has left the <see cref="T:Newtonsoft.Json.JsonWriter"/> in an invalid state.
-            You may call the <see cref="M:Newtonsoft.Json.JsonWriter.Close"/> method to put the <see cref="T:Newtonsoft.Json.JsonWriter"/> in the <c>Closed</c> state.
-            Any other <see cref="T:Newtonsoft.Json.JsonWriter"/> method calls result in an <see cref="T:System.InvalidOperationException"/> being thrown.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Closed">
-            <summary>
-            The <see cref="M:Newtonsoft.Json.JsonWriter.Close"/> method has been called.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Object">
-            <summary>
-            An object is being written. 
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Array">
-            <summary>
-            An array is being written.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Constructor">
-            <summary>
-            A constructor is being written.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Property">
-            <summary>
-            A property is being written.
-            </summary>
-        </member>
-        <member name="F:Newtonsoft.Json.WriteState.Start">
-            <summary>
-            A <see cref="T:Newtonsoft.Json.JsonWriter"/> write method has not been called.
-            </summary>
-        </member>
-        <member name="T:System.Diagnostics.CodeAnalysis.NotNullAttribute">
-            <summary>Specifies that an output will not be null even if the corresponding type allows it.</summary>
-        </member>
-        <member name="T:System.Diagnostics.CodeAnalysis.NotNullWhenAttribute">
-            <summary>Specifies that when a method returns <see cref="P:System.Diagnostics.CodeAnalysis.NotNullWhenAttribute.ReturnValue"/>, the parameter will not be null even if the corresponding type allows it.</summary>
-        </member>
-        <member name="M:System.Diagnostics.CodeAnalysis.NotNullWhenAttribute.#ctor(System.Boolean)">
-            <summary>Initializes the attribute with the specified return value condition.</summary>
-            <param name="returnValue">
-            The return value condition. If the method returns this value, the associated parameter will not be null.
-            </param>
-        </member>
-        <member name="P:System.Diagnostics.CodeAnalysis.NotNullWhenAttribute.ReturnValue">
-            <summary>Gets the return value condition.</summary>
-        </member>
-        <member name="T:System.Diagnostics.CodeAnalysis.MaybeNullAttribute">
-            <summary>Specifies that an output may be null even if the corresponding type disallows it.</summary>
-        </member>
-        <member name="T:System.Diagnostics.CodeAnalysis.AllowNullAttribute">
-            <summary>Specifies that null is allowed as an input even if the corresponding type disallows it.</summary>
-        </member>
-        <member name="T:System.Diagnostics.CodeAnalysis.DoesNotReturnIfAttribute">
-            <summary>
-            Specifies that the method will not return if the associated Boolean parameter is passed the specified value.
-            </summary>
-        </member>
-        <member name="M:System.Diagnostics.CodeAnalysis.DoesNotReturnIfAttribute.#ctor(System.Boolean)">
-            <summary>
-            Initializes a new instance of the <see cref="T:System.Diagnostics.CodeAnalysis.DoesNotReturnIfAttribute"/> class.
-            </summary>
-            <param name="parameterValue">
-            The condition parameter value. Code after the method will be considered unreachable by diagnostics if the argument to
-            the associated parameter matches this value.
-            </param>
-        </member>
-        <member name="P:System.Diagnostics.CodeAnalysis.DoesNotReturnIfAttribute.ParameterValue">
-            <summary>Gets the condition parameter value.</summary>
-        </member>
-    </members>
-</doc>
diff --git a/W/Debug_Folder/System.Buffers.dll b/W/Debug_Folder/System.Buffers.dll
deleted file mode 100644
index b6d9c7782..000000000
Binary files a/W/Debug_Folder/System.Buffers.dll and /dev/null differ
diff --git a/W/Debug_Folder/System.Buffers.xml b/W/Debug_Folder/System.Buffers.xml
deleted file mode 100644
index d3d239ec3..000000000
--- a/W/Debug_Folder/System.Buffers.xml
+++ /dev/null
@@ -1,39 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><span>
-<doc>
-  <assembly>
-    <name>System.Buffers</name>
-  </assembly>
-  <members>
-    <member name="T:System.Buffers.ArrayPool`1">
-      <summary>Provides a resource pool that enables reusing instances of type <see cref="T[]"></see>.</summary>
-      <typeparam name="T">The type of the objects that are in the resource pool.</typeparam>
-    </member>
-    <member name="M:System.Buffers.ArrayPool`1.#ctor">
-      <summary>Initializes a new instance of the <see cref="ArrayPool{T}"></see> class.</summary>
-    </member>
-    <member name="M:System.Buffers.ArrayPool`1.Create">
-      <summary>Creates a new instance of the <see cref="ArrayPool{T}"></see> class.</summary>
-      <returns>A new instance of the <see cref="ArrayPool{T}"></see> class.</returns>
-    </member>
-    <member name="M:System.Buffers.ArrayPool`1.Create(System.Int32,System.Int32)">
-      <summary>Creates a new instance of the <see cref="ArrayPool{T}"></see> class using the specifed configuration.</summary>
-      <param name="maxArrayLength">The maximum length of an array instance that may be stored in the pool.</param>
-      <param name="maxArraysPerBucket">The maximum number of array instances that may be stored in each bucket in the pool. The pool groups arrays of similar lengths into buckets for faster access.</param>
-      <returns>A new instance of the <see cref="ArrayPool{T}"></see> class with the specified configuration.</returns>
-    </member>
-    <member name="M:System.Buffers.ArrayPool`1.Rent(System.Int32)">
-      <summary>Retrieves a buffer that is at least the requested length.</summary>
-      <param name="minimumLength">The minimum length of the array.</param>
-      <returns>An array of type <see cref="T[]"></see> that is at least <paramref name="minimumLength">minimumLength</paramref> in length.</returns>
-    </member>
-    <member name="M:System.Buffers.ArrayPool`1.Return(`0[],System.Boolean)">
-      <summary>Returns an array to the pool that was previously obtained using the <see cref="Rent"></see> method on the same <see cref="ArrayPool{T}"></see> instance.</summary>
-      <param name="array">A buffer to return to the pool that was previously obtained using the <see cref="Rent"></see> method.</param>
-      <param name="clearArray">Indicates whether the contents of the buffer should be cleared before reuse. If <paramref name="bufferLength">bufferLength</paramref> is set to true, and if the pool will store the buffer to enable subsequent reuse, the <see cref="Return"></see> method will clear the <paramref name="array">array</paramref> of its contents so that a subsequent caller using the <see cref="Rent"></see> method will not see the content of the previous caller. If <paramref name="bufferLength">bufferLength</paramref> is set to false or if the pool will release the buffer, the array's contents are left unchanged.</param>
-    </member>
-    <member name="P:System.Buffers.ArrayPool`1.Shared">
-      <summary>Gets a shared <see cref="ArrayPool{T}"></see> instance.</summary>
-      <returns>A shared <see cref="ArrayPool{T}"></see> instance.</returns>
-    </member>
-  </members>
-</doc></span>
\ No newline at end of file
diff --git a/W/Debug_Folder/System.CodeDom.dll b/W/Debug_Folder/System.CodeDom.dll
deleted file mode 100644
index 5597b90de..000000000
Binary files a/W/Debug_Folder/System.CodeDom.dll and /dev/null differ
diff --git a/W/Debug_Folder/System.Collections.Immutable.dll b/W/Debug_Folder/System.Collections.Immutable.dll
deleted file mode 100644
index 049149f17..000000000
Binary files a/W/Debug_Folder/System.Collections.Immutable.dll and /dev/null differ
diff --git a/W/Debug_Folder/System.Collections.Immutable.xml b/W/Debug_Folder/System.Collections.Immutable.xml
deleted file mode 100644
index 9e5817348..000000000
--- a/W/Debug_Folder/System.Collections.Immutable.xml
+++ /dev/null
@@ -1,4908 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><doc>
-  <assembly>
-    <name>System.Collections.Immutable</name>
-  </assembly>
-  <members>
-    <member name="T:System.Collections.Immutable.IImmutableDictionary`2">
-      <summary>Represents an immutable collection of key/value pairs.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey">The type of keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values in the dictionary.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.Add(`0,`1)">
-      <summary>Adds an element with the specified key and value to the dictionary.</summary>
-      <param name="key">The key of the element to add.</param>
-      <param name="value">The value of the element to add.</param>
-      <returns>A new immutable dictionary that contains the additional key/value pair.</returns>
-      <exception cref="T:System.ArgumentException">The given key already exists in the dictionary but has a different value.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Adds the specified key/value pairs to the dictionary.</summary>
-      <param name="pairs">The key/value pairs to add.</param>
-      <returns>A new immutable dictionary that contains the additional key/value pairs.</returns>
-      <exception cref="T:System.ArgumentException">One of the given keys already exists in the dictionary but has a different value.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.Clear">
-      <summary>Retrieves an empty dictionary that has the same ordering and key/value comparison rules as this dictionary instance.</summary>
-      <returns>An empty dictionary with equivalent ordering and key/value comparison rules.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.Contains(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Determines whether the immutable dictionary contains the specified key/value pair.</summary>
-      <param name="pair">The key/value pair to locate.</param>
-      <returns>true if the specified key/value pair is found in the dictionary; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.Remove(`0)">
-      <summary>Removes the element with the specified key from the immutable dictionary.</summary>
-      <param name="key">The key of the element to remove.</param>
-      <returns>A new immutable dictionary with the specified element removed; or this instance if the specified key cannot be found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements with the specified keys from the immutable dictionary.</summary>
-      <param name="keys">The keys of the elements to remove.</param>
-      <returns>A new immutable dictionary with the specified keys removed; or this instance if the specified keys cannot be found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.SetItem(`0,`1)">
-      <summary>Sets the specified key and value in the immutable dictionary, possibly overwriting an existing value for the key.</summary>
-      <param name="key">The key of the entry to add.</param>
-      <param name="value">The key value to set.</param>
-      <returns>A new immutable dictionary that contains the specified key/value pair.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.SetItems(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Sets the specified key/value pairs in the immutable dictionary, possibly overwriting existing values for the keys.</summary>
-      <param name="items">The key/value pairs to set in the dictionary. If any of the keys already exist in the dictionary, this method will overwrite their previous values.</param>
-      <returns>A new immutable dictionary that contains the specified key/value pairs.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableDictionary`2.TryGetKey(`0,`0@)">
-      <summary>Determines whether this dictionary contains a specified key.</summary>
-      <param name="equalKey">The key to search for.</param>
-      <param name="actualKey">The matching key located in the dictionary if found, or equalkey if no match is found.</param>
-      <returns>true if a match for <paramref name="equalKey">equalKey</paramref> is found; otherwise, false.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.IImmutableList`1">
-      <summary>Represents a list of elements that cannot be modified.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the list.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.Add(`0)">
-      <summary>Makes a copy of the list, and adds the specified object to the end of the  copied list.</summary>
-      <param name="value">The object to add to the list.</param>
-      <returns>A new list with the object added, or this list if the object is already in the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Makes a copy of the list and adds the specified objects to the end of the copied list.</summary>
-      <param name="items">The objects to add to the list.</param>
-      <returns>A new list with the elements added, or this list if the elements already exist in the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.Clear">
-      <summary>Creates  a list with all the items removed, but with the same sorting and ordering semantics as this list.</summary>
-      <returns>An empty list that has the same sorting and ordering semantics as this instance.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.IndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the <see cref="T:System.Collections.Immutable.IImmutableList`1"></see> that starts at the specified index and contains the specified number of elements.</summary>
-      <param name="item">The object to locate in the <see cref="T:System.Collections.Immutable.IImmutableList`1"></see>. This value can be null for reference types.</param>
-      <param name="index">The zero-based starting indes of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="equalityComparer">The equality comparer to use to locate item.</param>
-      <returns>The zero-based index of the first occurrence of <paramref name="item">item</paramref> within the range of elements in the <see cref="System.Collections.Immutable.IImmutableList`1"></see> that starts at <paramref name="index">index</paramref> and contains <paramref name="count">count</paramref> number of elements if found; otherwise -1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.Insert(System.Int32,`0)">
-      <summary>Inserts the specified element at the specified index in the immutable list.</summary>
-      <param name="index">The zero-based index at which to insert the value.</param>
-      <param name="element">The object to insert.</param>
-      <returns>A new immutable list that includes the specified element.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.InsertRange(System.Int32,System.Collections.Generic.IEnumerable{`0})">
-      <summary>Inserts the specified elements at the specified index in the immutable list.</summary>
-      <param name="index">The zero-based index at which the new elements should be inserted.</param>
-      <param name="items">The elements to insert.</param>
-      <returns>A new immutable list that includes the specified elements.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.LastIndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the <see cref="T:System.Collections.Immutable.IImmutableList`1"></see> that contains the specified number of elements and ends at the specified index.</summary>
-      <param name="item">The object to locate in the list. The value can be null for reference types.</param>
-      <param name="index">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="equalityComparer">The equality comparer to match item.</param>
-      <returns>Returns <see cref="System.Int32"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.Remove(`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the first occurrence of a specified object from this immutable list.</summary>
-      <param name="value">The object to remove from the list.</param>
-      <param name="equalityComparer">The equality comparer to use to locate value.</param>
-      <returns>Returns a new list with the specified object removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.RemoveAll(System.Predicate{`0})">
-      <summary>Removes all the elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to remove.</param>
-      <returns>A new immutable list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.RemoveAt(System.Int32)">
-      <summary>Removes the element at the specified index of the immutable list.</summary>
-      <param name="index">The index of the element to remove.</param>
-      <returns>A new list with the element removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.RemoveRange(System.Collections.Generic.IEnumerable{`0},System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the specified object from the list.</summary>
-      <param name="items">The objects to remove from the list.</param>
-      <param name="equalityComparer">The equality comparer to use to determine if items match any objects in the list.</param>
-      <returns>A new immutable list with the specified objects removed, if <paramref name="items">items</paramref> matched objects in the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.RemoveRange(System.Int32,System.Int32)">
-      <summary>Removes a range of elements from the <see cref="T:System.Collections.Immutable.IImmutableList`1"></see>.</summary>
-      <param name="index">The zero-based starting index of the range of elements to remove.</param>
-      <param name="count">The number of elements to remove.</param>
-      <returns>A new immutable list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.Replace(`0,`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Returns a new list with the first matching element in the list replaced with the specified element.</summary>
-      <param name="oldValue">The element to be replaced.</param>
-      <param name="newValue">The element to replace the  the first occurrence of oldValue with</param>
-      <param name="equalityComparer">The equality comparer to use for matching oldValue.</param>
-      <returns>A new list that contains <paramref name="newValue">newValue</paramref>, even if <paramref name="oldvalue">oldvalue</paramref> is the same as <paramref name="newValue">newValue</paramref>.</returns>
-      <exception cref="T:System.ArgumentException"><paramref name="oldValue">oldValue</paramref> does not exist in the list.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableList`1.SetItem(System.Int32,`0)">
-      <summary>Replaces an element in the list at a given position with the specified element.</summary>
-      <param name="index">The position in the list of the element to replace.</param>
-      <param name="value">The element to replace the old element with.</param>
-      <returns>A new list that contains the new element, even if the element at the specified location is the same as the new element.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.IImmutableQueue`1">
-      <summary>Represents an immutable first-in, first-out collection of objects.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the queue.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableQueue`1.Clear">
-      <summary>Returns a new queue with all the elements removed.</summary>
-      <returns>An empty immutable queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableQueue`1.Dequeue">
-      <summary>Removes the first element in the immutable queue, and returns the new queue.</summary>
-      <returns>The new immutable queue with the first element removed. This value is never null.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableQueue`1.Enqueue(`0)">
-      <summary>Adds an element to the end of the immutable queue, and returns the new queue.</summary>
-      <param name="value">The element to add.</param>
-      <returns>The new immutable queue with the specified element added.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.IImmutableQueue`1.IsEmpty">
-      <summary>Gets a value that indicates whether this immutable queue is empty.</summary>
-      <returns>true if this queue is empty; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableQueue`1.Peek">
-      <summary>Returns the element at the beginning of the immutable queue without removing it.</summary>
-      <returns>The element at the beginning of the queue.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.IImmutableSet`1">
-      <summary>Represents a set of elements that can only be modified by creating a new instance of the set.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of element stored in the set.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Add(`0)">
-      <summary>Adds the specified element to this immutable set.</summary>
-      <param name="value">The element to add.</param>
-      <returns>A new set with the element added, or this set if the element is already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Clear">
-      <summary>Retrieves an empty immutable set that has the same sorting and ordering semantics as this instance.</summary>
-      <returns>An empty set that has the same sorting and ordering semantics as this instance.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Contains(`0)">
-      <summary>Determines whether this immutable set contains a specified element.</summary>
-      <param name="value">The element to locate in the set.</param>
-      <returns>true if the set contains the specified value; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Except(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements in the specified collection from the current immutable set.</summary>
-      <param name="other">The collection of items to remove from this set.</param>
-      <returns>A new set with the items removed; or the original set if none of the items were in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Intersect(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable set that contains only elements that exist in this set and the specified set.</summary>
-      <param name="other">The collection to compare to the current <see cref="T:System.Collections.Immutable.IImmutableSet`1"></see>.</param>
-      <returns>A new immutable set that contains elements that exist in both sets.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.IsProperSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable set is a proper (strict) subset of the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper subset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.IsProperSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable set is a proper (strict) superset of the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper superset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.IsSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable set is a subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a subset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.IsSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable set is a superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a superset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Overlaps(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable set overlaps with the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set and the specified collection share at least one common element; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Remove(`0)">
-      <summary>Removes the specified element from this immutable set.</summary>
-      <param name="value">The element to remove.</param>
-      <returns>A new set with the specified element removed, or the current set if the element cannot be found in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.SetEquals(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable set and the specified collection contain the same elements.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the sets are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.SymmetricExcept(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable set that contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new set that contains the elements that are present only in the current set or in the specified collection, but not both.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.TryGetValue(`0,`0@)">
-      <summary>Determines whether the set contains a specified value.</summary>
-      <param name="equalValue">The value to search for.</param>
-      <param name="actualValue">The matching value from the set, if found, or equalvalue if there are no matches.</param>
-      <returns>true if a matching value was found; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableSet`1.Union(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates a new immutable set that contains all elements that are present in either the current set or in the specified collection.</summary>
-      <param name="other">The collection to add elements from.</param>
-      <returns>A new immutable set with the items added; or the original set if all the items were already in the set.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.IImmutableStack`1">
-      <summary>Represents an immutable last-in-first-out (LIFO) collection.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the stack.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableStack`1.Clear">
-      <summary>Removes all objects from the immutable stack.</summary>
-      <returns>An empty immutable stack.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.IImmutableStack`1.IsEmpty">
-      <summary>Gets a value that indicates whether this immutable stack is empty.</summary>
-      <returns>true if this stack is empty; otherwise,false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableStack`1.Peek">
-      <summary>Returns the element at the top of the immutable stack without removing it.</summary>
-      <returns>The element at the top of the stack.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableStack`1.Pop">
-      <summary>Removes the element at the top of the immutable stack and returns the new stack.</summary>
-      <returns>The new stack; never null</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.IImmutableStack`1.Push(`0)">
-      <summary>Inserts an element at the top of the immutable stack and returns the new stack.</summary>
-      <param name="value">The element to push onto the stack.</param>
-      <returns>The new stack.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableArray`1.Builder">
-      <summary>A writable array accessor that can be converted into an <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> instance without allocating extra memory.  
-NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Add(`0)">
-      <summary>Adds the specified item to the array.</summary>
-      <param name="item">The object to add to the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Adds the specified items to the end of the array.</summary>
-      <param name="items">The items to add to the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange(System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Adds the specified items to the end of the array.</summary>
-      <param name="items">The items to add to the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange(System.Collections.Immutable.ImmutableArray{`0}.Builder)">
-      <summary>Adds the specified items to the end of the array.</summary>
-      <param name="items">The items to add to the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange(`0[])">
-      <summary>Adds the specified items to the end of the array.</summary>
-      <param name="items">The items to add to the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange(System.Collections.Immutable.ImmutableArray{`0},System.Int32)">
-      <summary>Adds the specified items to the end of the array.</summary>
-      <param name="items">The items to add to the array.</param>
-      <param name="length">The number of elements from the source array to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange(`0[],System.Int32)">
-      <summary>Adds the specified items to the end of the array.</summary>
-      <param name="items">The items to add to the array.</param>
-      <param name="length">The number of elements from the source array to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange``1(``0[])">
-      <summary>Adds the specified items that derive from the type currently in the array, to the end of the array.</summary>
-      <param name="items">The items to add to end of the array.</param>
-      <typeparam name="TDerived">The type that derives from the type of item already in the array.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange``1(System.Collections.Immutable.ImmutableArray{``0}.Builder)">
-      <summary>Adds the specified items that derive from the type currently in the array, to the end of the array.</summary>
-      <param name="items">The items to add to the end of the array.</param>
-      <typeparam name="TDerived">The type that derives from the type of item already in the array.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.AddRange``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Adds the specified items that derive from the type currently in the array, to the end of the array</summary>
-      <param name="items">The items to add to the end of the array.</param>
-      <typeparam name="TDerived">The type that derives from the type of item already in the array.</typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Builder.Capacity">
-      <summary>Get and sets the length of the internal array.  When set the internal array is             reallocated to the given capacity if it is not already the specified length.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Clear">
-      <summary>Removes all items from the array.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Contains(`0)">
-      <summary>Determines whether the array contains a specific value.</summary>
-      <param name="item">The object to locate in the array.</param>
-      <returns>true if the object is found; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.CopyTo(`0[],System.Int32)">
-      <summary>Copies the current contents to the specified array.</summary>
-      <param name="array">The array to copy to.</param>
-      <param name="index">The index to start the copy operation.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Builder.Count">
-      <summary>Gets or sets the number of items in the array.</summary>
-      <returns>The number of items in the array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.GetEnumerator">
-      <summary>Gets an object that can be used to iterate through the collection.</summary>
-      <returns>An object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.IndexOf(`0,System.Int32,System.Int32)">
-      <summary>Determines the index of the specified item.</summary>
-      <param name="item">The item to locate in the array.</param>
-      <param name="startIndex">The starting position of the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <returns>The index of <paramref name="item">item</paramref> if it’s found in the list; otherwise, -1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.IndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Determines the index for the specified item.</summary>
-      <param name="item">The item to locate in the array.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <param name="count">The starting position of the search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search</param>
-      <returns>The index of <paramref name="item">item</paramref> if it’s found in the list; otherwise, -1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.IndexOf(`0)">
-      <summary>Determines the index of a specific item in the array.</summary>
-      <param name="item">The item to locate in the array.</param>
-      <returns>The index of <paramref name="item">item</paramref> if it’s found in the list; otherwise, -1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.IndexOf(`0,System.Int32)">
-      <summary>Determines the index of the specified item.</summary>
-      <param name="item">The item to locate in the array.</param>
-      <param name="startIndex">The starting position of the search.</param>
-      <returns>The index of <paramref name="item">item</paramref> if it’s found in the list; otherwise, -1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Insert(System.Int32,`0)">
-      <summary>Inserts an item in the array at the specified index.</summary>
-      <param name="index">The zero-based index at which to insert the item.</param>
-      <param name="item">The object to insert into the array.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Builder.Item(System.Int32)">
-      <summary>Gets or sets the item at the specified index.</summary>
-      <param name="index">The index of the item to get or set.</param>
-      <returns>The item at the specified index.</returns>
-      <exception cref="T:System.IndexOutOfRangeException">The specified index is not in the array.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.LastIndexOf(`0)">
-      <summary>Determines the 0-based index of the last occurrence of the specified item in this array.</summary>
-      <param name="item">The item to search for.</param>
-      <returns>The 0-based index where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.LastIndexOf(`0,System.Int32)">
-      <summary>Determines the 0-based index of the last occurrence of the specified item in this array.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The starting position of the search.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.LastIndexOf(`0,System.Int32,System.Int32)">
-      <summary>Determines the 0-based index of the last occurrence of the specified item in this array.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The starting position of the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.LastIndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Determines the 0-based index of the last occurrence of the specified item in this array.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The starting position of the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.MoveToImmutable">
-      <summary>Extracts the internal array as an <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> and replaces it              with a zero length array.</summary>
-      <returns></returns>
-      <exception cref="T:System.InvalidOperationException">When <see cref="System.Collections.Immutable.ImmutableArray`1.Builder.Count"></see> doesn&amp;#39;t              equal <see cref="System.Collections.Immutable.ImmutableArray`1.Builder.Capacity"></see>.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Remove(`0)">
-      <summary>Removes the specified element.</summary>
-      <param name="element">The item to remove.</param>
-      <returns>true if <paramref name="element">element</paramref> was found and removed; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.RemoveAt(System.Int32)">
-      <summary>Removes the item at the specified index from the array.</summary>
-      <param name="index">The zero-based index of the item to remove.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Reverse">
-      <summary>Reverses the order of elements in the collection.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Sort">
-      <summary>Sorts the contents of the array.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Sort(System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the contents of the array.</summary>
-      <param name="comparer">The comparer to use for sorting. If comparer is null, the default comparer for the elements type in the array is used.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Sort(System.Comparison{`0})">
-      <summary>Sorts the elements in the entire array using             the specified <see cref="T:System.Comparison`1"></see>.</summary>
-      <param name="comparison">The <see cref="T:System.Comparison`1"></see> to use when comparing elements.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="comparison">comparison</paramref> is null.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.Sort(System.Int32,System.Int32,System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the contents of the array.</summary>
-      <param name="index">The starting index for the sort.</param>
-      <param name="count">The number of elements to include in the sort.</param>
-      <param name="comparer">The comparer to use for sorting. If comparer is null, the default comparer for the elements type in the array is used.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.ToArray">
-      <summary>Creates a new array with the current contents of this <see cref="T:System.Collections.Immutable.ImmutableArray`1.Builder"></see>.</summary>
-      <returns>A new array with the contents of this <see cref="System.Collections.Immutable.ImmutableArray`1.Builder"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.ToImmutable">
-      <summary>Returns an immutable array that contains the current contents of this <see cref="T:System.Collections.Immutable.ImmutableArray`1.Builder"></see>.</summary>
-      <returns>An immutable array that contains the current contents of this <see cref="System.Collections.Immutable.ImmutableArray`1.Builder"></see>.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Builder.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the array.</summary>
-      <returns>An enumerator that iterates through the array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Builder.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the array.</summary>
-      <returns>An enumerator that iterates through the array.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableArray`1.Enumerator">
-      <summary>An array enumerator.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Enumerator.Current">
-      <summary>Gets the currently item.</summary>
-      <returns>The current item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Enumerator.MoveNext">
-      <summary>Advances to the next value in the array.</summary>
-      <returns>true if another item exists in the array; otherwise, false.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableArray`1">
-      <summary>Represents an array that is immutable; meaning it cannot be changed once it is created.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of element stored by the array.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Add(`0)">
-      <summary>Returns a copy of the original array with the specified item added to the end.</summary>
-      <param name="item">The item to be added to the end of the array.</param>
-      <returns>A new array with the specified item added to the end.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Returns a copy of the original array with the specified elements added to the end of the array.</summary>
-      <param name="items">The elements to add to the array.</param>
-      <returns>A new array with the elements added.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.AddRange(System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Returns a copy of the original array with the specified elements added to the end of the array.</summary>
-      <param name="items">The elements to add to the array.</param>
-      <returns>A new array with the elements added.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.As``1">
-      <summary>Returns a new immutable array that contains the elements of this array cast to a different type.</summary>
-      <typeparam name="TOther">The type of array element to return.</typeparam>
-      <returns>An immutable array that contains the elements of this array, cast to a different type. If the cast fails, returns an array whose <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.CastArray``1">
-      <summary>Initializes a new instance of the <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> struct by casting the underlying             array to an array of type <paramref name="TOther">TOther</paramref>.</summary>
-      <typeparam name="TOther"></typeparam>
-      <returns></returns>
-      <exception cref="T:System.InvalidCastException">Thrown if the cast is illegal.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.CastUp``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Initializes a new instance of the <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> struct based on the contents             of an existing instance, allowing a covariant static cast to efficiently reuse the existing array.</summary>
-      <param name="items">The array to initialize the array with. No copy is made.</param>
-      <typeparam name="TDerived"></typeparam>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Clear">
-      <summary>Returns an array with all the elements removed.</summary>
-      <returns>An array with all of the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Contains(`0)">
-      <summary>Determines whether the specified item exists in the array.</summary>
-      <param name="item">The item to search for.</param>
-      <returns>true if the specified item was found in the array; otherwise false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.CopyTo(`0[],System.Int32)">
-      <summary>Copies the contents of this array to the specified array starting at the specified destination index.</summary>
-      <param name="destination">The array to copy to.</param>
-      <param name="destinationIndex">The index in array where copying begins.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.CopyTo(System.Int32,`0[],System.Int32,System.Int32)">
-      <summary>Copies the specified items in this array to the specified array at the specified starting index.</summary>
-      <param name="sourceIndex">The index of this array where copying begins.</param>
-      <param name="destination">The array to copy to.</param>
-      <param name="destinationIndex">The index in array where copying begins.</param>
-      <param name="length">The number of elements to copy from this array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.CopyTo(`0[])">
-      <summary>Copies the contents of this array to the specified array.</summary>
-      <param name="destination">The array to copy to.</param>
-    </member>
-    <member name="F:System.Collections.Immutable.ImmutableArray`1.Empty">
-      <summary>Gets an empty immutable array.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Equals(System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Indicates whether specified array is equal to this array.</summary>
-      <param name="other">An object to compare with this object.</param>
-      <returns>true if <paramref name="other">other</paramref> is equal to this array; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Equals(System.Object)">
-      <summary>Determines if this array is equal to the specified object.</summary>
-      <param name="obj">The <see cref="T:System.Object"></see> to compare with this array.</param>
-      <returns>true if this array is equal to <paramref name="obj">obj</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the contents of the array.</summary>
-      <returns>An enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.GetHashCode">
-      <summary>Returns a hash code for this instance.</summary>
-      <returns>A hash code for this instance, suitable for use in hashing algorithms and data structures like a hash table.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.IndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches the array for the specified item.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The zero-based index position of the item if it is found, or -1 if it is not.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.IndexOf(`0)">
-      <summary>Searches the array for the specified item.</summary>
-      <param name="item">The item to search for.</param>
-      <returns>The zero-based index position of the item if it is found, or -1 if it is not.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.IndexOf(`0,System.Int32)">
-      <summary>Searches the array for the specified item.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <returns>The zero-based index position of the item if it is found, or -1 if it is not.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.IndexOf(`0,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches the array for the specified item.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The zero-based index position of the item if it is found, or -1 if it is not.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.IndexOf(`0,System.Int32,System.Int32)">
-      <summary>Searches the array for the specified item.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <returns>The zero-based index position of the item if it is found, or -1 if it is not.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Insert(System.Int32,`0)">
-      <summary>Returns a new array with the specified value inserted at the specified position.</summary>
-      <param name="index">The 0-based index into the array at which the new item should be added.</param>
-      <param name="item">The item to insert at the start of the array.</param>
-      <returns>A new array with the item inserted at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.InsertRange(System.Int32,System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Inserts the specified values at the specified index.</summary>
-      <param name="index">The index at which to insert the value.</param>
-      <param name="items">The elements to insert.</param>
-      <returns>A new immutable array with the items inserted at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.InsertRange(System.Int32,System.Collections.Generic.IEnumerable{`0})">
-      <summary>Inserts the specified values at the specified index.</summary>
-      <param name="index">The index at which to insert the value.</param>
-      <param name="items">The elements to insert.</param>
-      <returns>A new immutable array with the items inserted at the specified index.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.IsDefault">
-      <summary>Gets a value indicating whether this array was declared but not initialized.</summary>
-      <returns>true to indicate the <see cref="System.Collections.Immutable.ImmutableArray`1"></see> is null; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.IsDefaultOrEmpty">
-      <summary>Gets a value indicating whether this <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> is empty or is not initialized.</summary>
-      <returns>true to indicate the <see cref="System.Collections.Immutable.ImmutableArray`1"></see> is null or <see cref="System.Collections.Immutable.ImmutableArray`1.Empty"></see>; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.IsEmpty">
-      <summary>Gets a value indicating whether this <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> is empty.</summary>
-      <returns>true to indicate the <see cref="System.Collections.Immutable.ImmutableArray`1"></see> is empty; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Item(System.Int32)">
-      <summary>Gets the element at the specified index in the immutable array.</summary>
-      <param name="index">The zero-based index of the element to get.</param>
-      <returns>The element at the specified index in the immutable array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.LastIndexOf(`0)">
-      <summary>Searches the array for the specified item; starting at the end of the array.</summary>
-      <param name="item">The item to search for.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.LastIndexOf(`0,System.Int32)">
-      <summary>Searches the array for the specified item; starting at the end of the array.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.LastIndexOf(`0,System.Int32,System.Int32)">
-      <summary>Searches the array for the specified item; starting at the end of the array.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.LastIndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches the array for the specified item; starting at the end of the array.</summary>
-      <param name="item">The item to search for.</param>
-      <param name="startIndex">The index at which to begin the search.</param>
-      <param name="count">The number of elements to search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The 0-based index into the array where the item was found; or -1 if it could not be found.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.Length">
-      <summary>Gets the number of elements in the array.</summary>
-      <returns>The number of elements in the array</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.OfType``1">
-      <summary>Filters the elements of this array to those assignable to the specified type.</summary>
-      <typeparam name="TResult">The type to filter the elements of the sequence on.</typeparam>
-      <returns>An <see cref="System.Collections.IEnumerable"></see> that contains elements from the input sequence of type of <paramref name="TResult">TResult</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.op_Equality(System.Nullable{System.Collections.Immutable.ImmutableArray{`0}},System.Nullable{System.Collections.Immutable.ImmutableArray{`0}})">
-      <summary>Returns a value that indicates if two arrays are equal.</summary>
-      <param name="left">The array to the left of the operator.</param>
-      <param name="right">The array to the right of the operator.</param>
-      <returns>true if the arrays are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.op_Equality(System.Collections.Immutable.ImmutableArray{`0},System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Returns a value that indicates if two arrays are equal.</summary>
-      <param name="left">The array to the left of the operator.</param>
-      <param name="right">The array to the right of the operator.</param>
-      <returns>true if the arrays are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.op_Inequality(System.Collections.Immutable.ImmutableArray{`0},System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Returns a value that indicates whether two arrays are not equal.</summary>
-      <param name="left">The array to the left of the operator.</param>
-      <param name="right">The array to the right of the operator.</param>
-      <returns>true if the arrays are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.op_Inequality(System.Nullable{System.Collections.Immutable.ImmutableArray{`0}},System.Nullable{System.Collections.Immutable.ImmutableArray{`0}})">
-      <summary>Checks for inequality between two array.</summary>
-      <param name="left">The object to the left of the operator.</param>
-      <param name="right">The object to the right of the operator.</param>
-      <returns>true if the two arrays are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Remove(`0)">
-      <summary>Returns an array with the first occurrence of the specified element removed from the array. If no match is found, the current array is returned.</summary>
-      <param name="item">The item to remove.</param>
-      <returns>A new array with the item removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Remove(`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Returns an array with the first occurrence of the specified element removed from the array.  
- If no match is found, the current array is returned.</summary>
-      <param name="item">The item to remove.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new array with the specified item removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveAll(System.Predicate{`0})">
-      <summary>Removes all the items from the array that meet the specified condition.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to remove.</param>
-      <returns>A new array with items that meet the specified condition removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveAt(System.Int32)">
-      <summary>Returns an array with the element at the specified position removed.</summary>
-      <param name="index">The 0-based index of the element to remove from the returned array.</param>
-      <returns>A new array with the item at the specified index removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveRange(System.Collections.Immutable.ImmutableArray{`0},System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the specified items from this list.</summary>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new array with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveRange(System.Collections.Generic.IEnumerable{`0},System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the specified items from this array.</summary>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new array with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveRange(System.Int32,System.Int32)">
-      <summary>Returns an array with the elements at the specified position removed.</summary>
-      <param name="index">The 0-based index of the starting element to remove from the array.</param>
-      <param name="length">The number of elements to remove from the array.</param>
-      <returns>The new array with the specified elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the specified items from this array.</summary>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <returns>A new array with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.RemoveRange(System.Collections.Immutable.ImmutableArray{`0})">
-      <summary>Removes the specified values from this list.</summary>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <returns>A new list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Replace(`0,`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Finds the first element in the array equal to the specified value and replaces the value with the specified new value.</summary>
-      <param name="oldValue">The value to find and replace in the array.</param>
-      <param name="newValue">The value to replace the oldvalue with.</param>
-      <param name="equalityComparer">The equality comparer to use to compare values.</param>
-      <returns>A new array that contains <paramref name="newValue">newValue</paramref> even if the new and old values are the same.</returns>
-      <exception cref="T:System.ArgumentException"><paramref name="oldValue">oldValue</paramref> is not found in the array.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Replace(`0,`0)">
-      <summary>Finds the first element in the array equal to the specified value and replaces the value with the specified new value.</summary>
-      <param name="oldValue">The value to find and replace in the array.</param>
-      <param name="newValue">The value to replace the oldvalue with.</param>
-      <returns>A new array that contains <paramref name="newValue">newValue</paramref> even if the new and old values are the same.</returns>
-      <exception cref="T:System.ArgumentException"><paramref name="oldValue">oldValue</paramref> is not found in the array.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.SetItem(System.Int32,`0)">
-      <summary>Replaces the item at the specified index with the specified item.</summary>
-      <param name="index">The index of the item to replace.</param>
-      <param name="item">The item to add to the list.</param>
-      <returns>The new array that contains <paramref name="item">item</paramref> at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Sort">
-      <summary>Sorts the elements in the immutable array using the default comparer.</summary>
-      <returns>A new immutable array that contains the items in this array, in sorted order.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Sort(System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the elements in the immutable array using the specified comparer.</summary>
-      <param name="comparer">The implementation to use when comparing elements, or null to use the default comparer</param>
-      <returns>A new immutable array that contains the items in this array, in sorted order.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Sort(System.Comparison{`0})">
-      <summary>Sorts the elements in the entire <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> using             the specified <see cref="T:System.Comparison`1"></see>.</summary>
-      <param name="comparison">The <see cref="T:System.Comparison`1"></see> to use when comparing elements.</param>
-      <returns>The sorted list.</returns>
-      <exception cref="T:System.ArgumentNullException"><paramref name="comparison">comparison</paramref> is null.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.Sort(System.Int32,System.Int32,System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the specified elements in the immutable array using the specified comparer.</summary>
-      <param name="index">The index of the first element to sort.</param>
-      <param name="count">The number of elements to include in the sort.</param>
-      <param name="comparer">The implementation to use when comparing elements, or null to use the default comparer</param>
-      <returns>A new immutable array that contains the items in this array, in sorted order.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.ToBuilder">
-      <summary>Creates a mutable array that has the same contents as this array and can be efficiently mutated across multiple operations using standard mutable interfaces.</summary>
-      <returns>The new builder with the same contents as this array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#ICollection{T}#Add(`0)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="item">The item to add to the end of the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#ICollection{T}#Clear">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#ICollection{T}#Count">
-      <summary>Gets the number of array in the collection.</summary>
-      <returns></returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>Gets a value indicating whether this instance is read only.</summary>
-      <returns>true if this instance is read only; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#ICollection{T}#Remove(`0)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="item">The object to remove from the array.</param>
-      <returns>Throws <see cref="System.NotSupportedException"></see> in all cases.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the array.</summary>
-      <returns>An enumerator that can be used to iterate through the array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#IList{T}#Insert(System.Int32,`0)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="index">The index of the location to insert the item.</param>
-      <param name="item">The item to insert.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#IList{T}#Item(System.Int32)">
-      <summary>Gets or sets the element at the specified index in the read-only list.</summary>
-      <param name="index">The zero-based index of the element to get.</param>
-      <returns>The element at the specified index in the read-only list.</returns>
-      <exception cref="T:System.NotSupportedException">Always thrown from the setter.</exception>
-      <exception cref="T:System.InvalidOperationException">Thrown if the <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#IList{T}#RemoveAt(System.Int32)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="index">The index.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#IReadOnlyCollection{T}#Count">
-      <summary>Gets the number of array in the collection.</summary>
-      <returns></returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#Generic#IReadOnlyList{T}#Item(System.Int32)">
-      <summary>Gets the element at the specified index.</summary>
-      <param name="index">The index.</param>
-      <returns>The element.</returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies this array to another array starting at the specified index.</summary>
-      <param name="array">The array to copy this array to.</param>
-      <param name="index">The index in the destination array to start the copy operation.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#ICollection#Count">
-      <summary>Gets the size of the array.</summary>
-      <returns></returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#ICollection#IsSynchronized">
-      <summary>See the <see cref="T:System.Collections.ICollection"></see> interface.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#ICollection#SyncRoot">
-      <summary>Gets the sync root.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable array.</summary>
-      <returns>An enumerator that iterates through the immutable array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#Add(System.Object)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="value">The value to add to the array.</param>
-      <returns>Throws <see cref="System.NotSupportedException"></see> in all cases.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#Clear">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#Contains(System.Object)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="value">The value to check for.</param>
-      <returns>Throws <see cref="System.NotSupportedException"></see> in all cases.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#IndexOf(System.Object)">
-      <summary>Gets the value at the specified index.</summary>
-      <param name="value">The value to return the index of.</param>
-      <returns>The value of the element at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#Insert(System.Int32,System.Object)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="index">Index that indicates where to insert the item.</param>
-      <param name="value">The value to insert.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#IsFixedSize">
-      <summary>Gets a value indicating whether this instance is fixed size.</summary>
-      <returns>true if this instance is fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#IsReadOnly">
-      <summary>Gets a value indicating whether this instance is read only.</summary>
-      <returns>true if this instance is read only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#Item(System.Int32)">
-      <summary>Gets or sets the <see cref="T:System.Object"></see> at the specified index.</summary>
-      <param name="index">The index.</param>
-      <returns></returns>
-      <exception cref="T:System.NotSupportedException">Always thrown from the setter.</exception>
-      <exception cref="T:System.InvalidOperationException">Thrown if the <see cref="System.Collections.Immutable.ImmutableArray`1.IsDefault"></see> property returns true.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#Remove(System.Object)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="value">The value to remove from the array.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IList#RemoveAt(System.Int32)">
-      <summary>Throws <see cref="T:System.NotSupportedException"></see> in all cases.</summary>
-      <param name="index">The index of the item to remove.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#Add(`0)">
-      <summary>Returns a copy of the original array with the specified item added to the end.</summary>
-      <param name="value">The value to add to the end of the array.</param>
-      <returns>A new array with the specified item added to the end.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Returns a copy of the original array with the specified elements added to the end of the array.</summary>
-      <param name="items">The elements to add to the end of the array.</param>
-      <returns>A new array with the elements added to the end.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#Clear">
-      <summary>Returns an array with all the elements removed.</summary>
-      <returns>Returns an array with all the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#Insert(System.Int32,`0)">
-      <summary>Returns a new array with the specified value inserted at the specified position.</summary>
-      <param name="index">The 0-based index into the array at which the new item should be added.</param>
-      <param name="element">The item to insert at the start of the array.</param>
-      <returns>A new array with the specified value inserted.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#InsertRange(System.Int32,System.Collections.Generic.IEnumerable{`0})">
-      <summary>Inserts the specified values at the specified index</summary>
-      <param name="index">The index at which to insert the value.</param>
-      <param name="items">The elements to insert.</param>
-      <returns>A new array with the specified values inserted.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#Remove(`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Returns an array with the first occurrence of the specified element removed from the array; if no match is found, the current array is returned.</summary>
-      <param name="value">The value to remove from the array.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new array with the value removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#RemoveAll(System.Predicate{`0})">
-      <summary>Removes all the items from the array that meet the specified condition.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to remove.</param>
-      <returns>A new array with items that meet the specified condition removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#RemoveAt(System.Int32)">
-      <summary>Returns an array with the element at the specified position removed.</summary>
-      <param name="index">The 0-based index of the element to remove from the returned array.</param>
-      <returns>A new array with the specified item removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#RemoveRange(System.Collections.Generic.IEnumerable{`0},System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the specified items from this array.</summary>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new array with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#RemoveRange(System.Int32,System.Int32)">
-      <summary>Returns an array with the elements at the specified position removed.</summary>
-      <param name="index">The 0-based index of the starting element to remove from the array.</param>
-      <param name="count">The number of elements to remove from the array.</param>
-      <returns>The new array with the specified elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#Replace(`0,`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Finds the first element in the array equal to the specified value and replaces the value with the specified new value.</summary>
-      <param name="oldValue">The value to find and replace in the array.</param>
-      <param name="newValue">The value to replace the oldvalue with.</param>
-      <param name="equalityComparer">The equality comparer to use to compare values.</param>
-      <returns>A new array that contains <paramref name="newValue">newValue</paramref> even if the new and old values are the same.</returns>
-      <exception cref="T:System.ArgumentException"><paramref name="oldValue">oldValue</paramref> is not found in the array.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#Immutable#IImmutableList{T}#SetItem(System.Int32,`0)">
-      <summary>Replaces the item at the specified index with the specified item.</summary>
-      <param name="index">The index of the item to replace.</param>
-      <param name="value">The value to add to the list.</param>
-      <returns>The new array that contains <paramref name="item">item</paramref> at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IStructuralComparable#CompareTo(System.Object,System.Collections.IComparer)">
-      <summary>Determines whether the current collection element precedes, occurs in the same position as, or follows another element in the sort order.</summary>
-      <param name="other">The element to compare with the current instance.</param>
-      <param name="comparer">The object used to compare members of the current array with the corresponding members of other array.</param>
-      <returns>An integer that indicates whether the current element precedes, is in the same position or follows the other element.</returns>
-      <exception cref="T:System.ArgumentException">The arrays are not the same length.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IStructuralEquatable#Equals(System.Object,System.Collections.IEqualityComparer)">
-      <summary>Determines whether this array is structurally equal to the specified array.</summary>
-      <param name="other">The array to compare with the current instance.</param>
-      <param name="comparer">An object that determines whether the current instance and other are structurally equal.</param>
-      <returns>true if the two arrays are structurally equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray`1.System#Collections#IStructuralEquatable#GetHashCode(System.Collections.IEqualityComparer)">
-      <summary>Returns a hash code for the current instance.</summary>
-      <param name="comparer">An object that computes the hash code of the current object.</param>
-      <returns>The hash code for the current instance.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableArray">
-      <summary>Provides methods for creating an array that is immutable; meaning it cannot be changed once it is created.  
-NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.BinarySearch``1(System.Collections.Immutable.ImmutableArray{``0},``0)">
-      <summary>Searches the sorted immutable array for a specified element using the default comparer and returns the zero-based index of the element, if it’s found.</summary>
-      <param name="array">The sorted array to search.</param>
-      <param name="value">The object to search for.</param>
-      <typeparam name="T">The type of element stored in the array.</typeparam>
-      <returns>The zero-based index of the item in the array, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="value">value</paramref> or, if there is no larger element, the bitwise complement of <see cref="System.Collections.Generic.ICollection`1.Count"></see>.</returns>
-      <exception cref="T:System.InvalidOperationException"><paramref name="value">value</paramref> does not implement <see cref="System.IComparable"></see> or the search encounters an element that does not implement <see cref="System.IComparable"></see>.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.BinarySearch``1(System.Collections.Immutable.ImmutableArray{``0},``0,System.Collections.Generic.IComparer{``0})">
-      <summary>Searches a sorted immutable array for a specified element and returns the zero-based index of the element, if it’s found.</summary>
-      <param name="array">The sorted array to search.</param>
-      <param name="value">The object to search for.</param>
-      <param name="comparer">The comparer implementation to use when comparing elements, or null to use the default comparer.</param>
-      <typeparam name="T">The type of element stored in the array.</typeparam>
-      <returns>The zero-based index of the item in the array, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="value">value</paramref> or, if there is no larger element, the bitwise complement of <see cref="System.Collections.Generic.ICollection`1.Count"></see>.</returns>
-      <exception cref="T:System.InvalidOperationException"><paramref name="comparer">comparer</paramref> is null and <paramref name="value">value</paramref> does not implement <see cref="System.IComparable"></see> or the search encounters an element that does not implement <see cref="System.IComparable"></see>.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.BinarySearch``1(System.Collections.Immutable.ImmutableArray{``0},System.Int32,System.Int32,``0)">
-      <summary>Searches a sorted immutable array for a specified element and returns the zero-based index of the element, if it’s found.</summary>
-      <param name="array">The sorted array to search.</param>
-      <param name="index">The starting index of the range to search.</param>
-      <param name="length">The length of the range to search.</param>
-      <param name="value">The object to search for.</param>
-      <typeparam name="T">The type of element stored in the array.</typeparam>
-      <returns>The zero-based index of the item in the array, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="value">value</paramref> or, if there is no larger element, the bitwise complement of <see cref="System.Collections.Generic.ICollection`1.Count"></see>.</returns>
-      <exception cref="T:System.InvalidOperationException"><paramref name="value">value</paramref> does not implement <see cref="System.IComparable"></see> or the search encounters an element that does not implement <see cref="System.IComparable"></see>.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.BinarySearch``1(System.Collections.Immutable.ImmutableArray{``0},System.Int32,System.Int32,``0,System.Collections.Generic.IComparer{``0})">
-      <summary>Searches a sorted immutable array for a specified element and returns the zero-based index of the element.</summary>
-      <param name="array">The sorted array to search.</param>
-      <param name="index">The starting index of the range to search.</param>
-      <param name="length">The length of the range to search.</param>
-      <param name="value">The object to search for.</param>
-      <param name="comparer">The comparer to use when comparing elements for equality or null to use the default comparer.</param>
-      <typeparam name="T">The type of element stored in the array.</typeparam>
-      <returns>The zero-based index of the item in the array, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="value">value</paramref> or, if there is no larger element, the bitwise complement of <see cref="System.Collections.Generic.ICollection`1.Count"></see>.</returns>
-      <exception cref="T:System.InvalidOperationException"><paramref name="comparer">comparer</paramref> is null and <paramref name="value">value</paramref> does not implement <see cref="System.IComparable"></see> or the search encounters an element that does not implement <see cref="System.IComparable"></see>.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(``0,``0,``0,``0)">
-      <summary>Creates an immutable array that contains the specified objects.</summary>
-      <param name="item1">The first object to store in the array.</param>
-      <param name="item2">The second object to store in the array.</param>
-      <param name="item3">The third object to store in the array.</param>
-      <param name="item4">The fourth object to store in the array.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>An immutable array that contains the specified objects.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(``0[],System.Int32,System.Int32)">
-      <summary>Creates an immutable array with specified objects from another array.</summary>
-      <param name="items">The source array of objects.</param>
-      <param name="start">The index of the first element to copy from items.</param>
-      <param name="length">The number of elements from items to include in this immutable array.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>An immutable array that contains the specified objects from the source array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(System.Collections.Immutable.ImmutableArray{``0},System.Int32,System.Int32)">
-      <summary>Creates an immutable array with the specified objects from another immutable array.</summary>
-      <param name="items">The source array of objects.</param>
-      <param name="start">The index of the first element to copy from items.</param>
-      <param name="length">The number of elements from items to include in this immutable array.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>An immutable array that contains the specified objects from the source array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(``0,``0,``0)">
-      <summary>Creates an immutable array that contains the specified objects.</summary>
-      <param name="item1">The first object to store in the array.</param>
-      <param name="item2">The second object to store in the array.</param>
-      <param name="item3">The third object to store in the array.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>An immutable array that contains the specified objects.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(``0[])">
-      <summary>Creates an immutable array from the specified array of objects.</summary>
-      <param name="items">The array of objects to populate the array with.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>An immutable array that contains the array of items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(``0)">
-      <summary>Creates an immutable array that contains the specified object.</summary>
-      <param name="item">The object to store in the array.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>Returns an immutable array that contains the specified object.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1">
-      <summary>Creates an empty immutable array.</summary>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>An empty immutable array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.Create``1(``0,``0)">
-      <summary>Creates an immutable array that contains the specified objects.</summary>
-      <param name="item1">The first object to store in the array.</param>
-      <param name="item2">The second object to store in the array.</param>
-      <typeparam name="T">The type of elements stored in the array.</typeparam>
-      <returns>Returns an immutable array that contains the specified objects.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateBuilder``1">
-      <summary>Creates a mutable array that can be converted to an <see cref="T:System.Collections.Immutable.ImmutableArray"></see> without allocating new memory.</summary>
-      <typeparam name="T">The type of elements stored in the builder.</typeparam>
-      <returns>A mutable array of the specified type that can be efficiently converted to an immutable array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateBuilder``1(System.Int32)">
-      <summary>Creates a mutable array that can be converted to an <see cref="T:System.Collections.Immutable.ImmutableArray"></see> without allocating new memory.</summary>
-      <param name="initialCapacity">The initial capacity of the builder.</param>
-      <typeparam name="T">The type of elements stored in the builder.</typeparam>
-      <returns>A mutable array of the specified type that can be efficiently converted to an immutable array.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateRange``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> populated with the specified items.</summary>
-      <param name="items">The elements to add to the array.</param>
-      <typeparam name="T">The type of element stored in the array.</typeparam>
-      <returns>An immutable array that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateRange``3(System.Collections.Immutable.ImmutableArray{``0},System.Int32,System.Int32,System.Func{``0,``1,``2},``1)">
-      <summary>Initializes a new instance of the <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> struct.</summary>
-      <param name="items">The source array to initialize the resulting array with.</param>
-      <param name="start">The index of the first element in the source array to include in the resulting array.</param>
-      <param name="length">The number of elements from the source array to include in the resulting array.</param>
-      <param name="selector">The function to apply to each element from the source array included in the resulting array.</param>
-      <param name="arg">An argument to be passed to the selector mapping function.</param>
-      <typeparam name="TSource"></typeparam>
-      <typeparam name="TArg"></typeparam>
-      <typeparam name="TResult"></typeparam>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateRange``3(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,``1,``2},``1)">
-      <summary>Initializes a new instance of the <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> struct.</summary>
-      <param name="items">The source array to initialize the resulting array with.</param>
-      <param name="selector">The function to apply to each element from the source array.</param>
-      <param name="arg">An argument to be passed to the selector mapping function.</param>
-      <typeparam name="TSource"></typeparam>
-      <typeparam name="TArg"></typeparam>
-      <typeparam name="TResult"></typeparam>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateRange``2(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,``1})">
-      <summary>Initializes a new instance of the <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> struct.</summary>
-      <param name="items">The source array to initialize the resulting array with.</param>
-      <param name="selector">The function to apply to each element from the source array.</param>
-      <typeparam name="TSource"></typeparam>
-      <typeparam name="TResult"></typeparam>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.CreateRange``2(System.Collections.Immutable.ImmutableArray{``0},System.Int32,System.Int32,System.Func{``0,``1})">
-      <summary>Initializes a new instance of the <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> struct.</summary>
-      <param name="items">The source array to initialize the resulting array with.</param>
-      <param name="start">The index of the first element in the source array to include in the resulting array.</param>
-      <param name="length">The number of elements from the source array to include in the resulting array.</param>
-      <param name="selector">The function to apply to each element from the source array included in the resulting array.</param>
-      <typeparam name="TSource"></typeparam>
-      <typeparam name="TResult"></typeparam>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableArray.ToImmutableArray``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates an immutable array from the specified collection.</summary>
-      <param name="items">The collection of objects to copy to the immutable array.</param>
-      <typeparam name="TSource">The type of elements contained in items.</typeparam>
-      <returns>An immutable array that contains the specified collection of objects.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableDictionary`2.Builder">
-      <summary>Represents a hash map that mutates with little or no memory allocations and that can produce or build on immutable hash map instances very efficiently.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey"></typeparam>
-      <typeparam name="TValue"></typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.Add(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Adds the specified item to the immutable dictionary.</summary>
-      <param name="item">The object to add to the dictionary.</param>
-      <exception cref="T:System.NotSupportedException">The dictionary is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.Add(`0,`1)">
-      <summary>Adds an element that has the specified key and value to the immutable dictionary.</summary>
-      <param name="key">The key of the element to add.</param>
-      <param name="value">The value of the element to add.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="key">key</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">An element with the same key already exists in the dictionary.</exception>
-      <exception cref="T:System.NotSupportedException">The dictionary is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Adds a sequence of values to this collection.</summary>
-      <param name="items">The items to add to this collection.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.Clear">
-      <summary>Removes all items from the immutable dictionary.</summary>
-      <exception cref="T:System.NotSupportedException">The dictionary is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.Contains(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Determines whether the immutable dictionary contains a specific value.</summary>
-      <param name="item">The object to locate in the dictionary.</param>
-      <returns>true if <paramref name="item">item</paramref> is found in the dictionary; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.ContainsKey(`0)">
-      <summary>Determines whether the immutable dictionary contains an element that has the specified key.</summary>
-      <param name="key">The key to locate in the dictionary.</param>
-      <returns>true if the dictionary contains an element with the key; otherwise, false.</returns>
-      <exception cref="T:System.ArgumentNullException"><paramref name="key">key</paramref> is null.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.ContainsValue(`1)">
-      <summary>Determines whether the immutable dictionary contains an element that has the specified value.</summary>
-      <param name="value">The value to locate in the immutable dictionary. The value can be null for reference types.</param>
-      <returns>true if the dictionary contains an element with the specified value; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.Count">
-      <summary>Gets the number of elements contained in the immutable dictionary.</summary>
-      <returns>The number of elements contained in the immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable dictionary.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.GetValueOrDefault(`0,`1)">
-      <summary>Gets the value for a given key if a matching key exists in the dictionary.</summary>
-      <param name="key">The key to search for.</param>
-      <param name="defaultValue">The default value to return if no matching key is found in the dictionary.</param>
-      <returns>The value for the key, or <paramref name="defaultValue">defaultValue</paramref> if no matching key was found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.GetValueOrDefault(`0)">
-      <summary>Gets the value for a given key if a matching key exists in the dictionary.</summary>
-      <param name="key">The key to search for.</param>
-      <returns>The value for the key, or default(TValue) if no matching key was found.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.Item(`0)">
-      <summary>Gets or sets the element with the specified key.</summary>
-      <param name="key">The element to get or set.</param>
-      <returns>The element that has the specified key.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.KeyComparer">
-      <summary>Gets or sets the key comparer.</summary>
-      <returns>The key comparer.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.Keys">
-      <summary>Gets a collection that contains the keys of the immutable dictionary.</summary>
-      <returns>A collection that contains the keys of the object that implements the immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.Remove(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Removes the first occurrence of a specific object from the immutable dictionary.</summary>
-      <param name="item">The object to remove from the dictionary.</param>
-      <returns>true if <paramref name="item">item</paramref> was successfully removed from the dictionary; otherwise, false. This method also returns false if <paramref name="item">item</paramref> is not found in the dictionary.</returns>
-      <exception cref="T:System.NotSupportedException">The dictionary is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.Remove(`0)">
-      <summary>Removes the element with the specified key from the immutable dictionary.</summary>
-      <param name="key">The key of the element to remove.</param>
-      <returns>true if the element is successfully removed; otherwise, false.  This method also returns false if <paramref name="key">key</paramref> was not found in the dictionary.</returns>
-      <exception cref="T:System.ArgumentNullException"><paramref name="key">key</paramref> is null.</exception>
-      <exception cref="T:System.NotSupportedException">The dictionary is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes any entries with keys that match those found in the specified sequence from the immutable dictionary.</summary>
-      <param name="keys">The keys for entries to remove from the dictionary.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.ToImmutable">
-      <summary>Creates an immutable dictionary based on the contents of this instance.</summary>
-      <returns>An immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.TryGetKey(`0,`0@)">
-      <summary>Determines whether this dictionary contains a specified key.</summary>
-      <param name="equalKey">The key to search for.</param>
-      <param name="actualKey">The matching key located in the dictionary if found, or equalkey if no match is found.</param>
-      <returns>true if a match for <paramref name="equalKey">equalKey</paramref> is found; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.TryGetValue(`0,`1@)">
-      <summary>Returns the value associated with the specified key.</summary>
-      <param name="key">The key whose value will be retrieved.</param>
-      <param name="value">When this method returns, contains the value associated with the specified key, if the key is found; otherwise, returns the default value for the type of the value parameter. This parameter is passed uninitialized.</param>
-      <returns>true if the object that implements the immutable dictionary contains an element with the specified key; otherwise, false.</returns>
-      <exception cref="T:System.ArgumentNullException"><paramref name="key">key</paramref> is null.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.ValueComparer">
-      <summary>Gets or sets the value comparer.</summary>
-      <returns>The value comparer.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.Values">
-      <summary>Gets a collection that contains the values of the immutable dictionary.</summary>
-      <returns>A collection that contains the values of the object that implements the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#CopyTo(System.Collections.Generic.KeyValuePair{`0,`1}[],System.Int32)">
-      <param name="array"></param>
-      <param name="arrayIndex"></param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#IsReadOnly">
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#Generic#IDictionary{TKey@TValue}#Keys">
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#Generic#IDictionary{TKey@TValue}#Values">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#Generic#IEnumerable{System#Collections#Generic#KeyValuePair{TKey@TValue}}#GetEnumerator">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the dictionary to an array of type <see cref="T:System.Collections.Generic.KeyValuePair`2"></see>, starting at the specified array index.</summary>
-      <param name="array">The one-dimensional array of type <see cref="T:System.Collections.Generic.KeyValuePair`2"></see> that is the destination of the elements copied from the dictionary. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#ICollection#IsSynchronized">
-      <summary>Gets a value indicating whether access to the <see cref="T:System.Collections.ICollection"></see> is synchronized (thread safe).</summary>
-      <returns>true if access to the <see cref="System.Collections.ICollection"></see> is synchronized (thread safe); otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#ICollection#SyncRoot">
-      <summary>Gets an object that can be used to synchronize access to the <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns>An object that can be used to synchronize access to the <see cref="System.Collections.ICollection"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#Add(System.Object,System.Object)">
-      <summary>Adds an element with the provided key and value to the dictionary object.</summary>
-      <param name="key">The key of the element to add.</param>
-      <param name="value">The value of the element to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#Contains(System.Object)">
-      <summary>Determines whether the dictionary object contains an element with the specified key.</summary>
-      <param name="key">The key to locate.</param>
-      <returns>true if the dictionary contains an element with the key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#GetEnumerator">
-      <summary>Returns an <see cref="T:System.Collections.IDictionaryEnumerator"></see> object for the dictionary.</summary>
-      <returns>An <see cref="System.Collections.IDictionaryEnumerator"></see> object for the dictionary.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IDictionary"></see> object has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IDictionary"></see> object has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#Item(System.Object)">
-      <summary>Gets or sets the element with the specified key.</summary>
-      <param name="key">The key.</param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#Keys">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the keys of the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the keys of the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#Remove(System.Object)">
-      <summary>Removes the element with the specified key from the dictionary.</summary>
-      <param name="key">The key of the element to remove.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IDictionary#Values">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the values in the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the values in the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Builder.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An enumerator object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableDictionary`2.Enumerator">
-      <summary>Enumerates the contents of the immutable dictionary without allocating any memory.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey"></typeparam>
-      <typeparam name="TValue"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.</summary>
-      <returns>The element in the dictionary at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Enumerator.Dispose">
-      <summary>Releases the resources used by the current instance of the <see cref="T:System.Collections.Immutable.ImmutableDictionary`2.Enumerator"></see> class.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Enumerator.MoveNext">
-      <summary>Advances the enumerator to the next element of the immutable dictionary.</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the dictionary.</returns>
-      <exception cref="T:System.InvalidOperationException">The dictionary was modified after the enumerator was created.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Enumerator.Reset">
-      <summary>Sets the enumerator to its initial position, which is before the first element in the dictionary.</summary>
-      <exception cref="T:System.InvalidOperationException">The dictionary was modified after the enumerator was created.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Enumerator.System#Collections#IEnumerator#Current">
-      <summary>Gets the current element.</summary>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableDictionary`2">
-      <summary>Represents an immutable, unordered collection of keys and values.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Add(`0,`1)">
-      <summary>Adds an element with the specified key and value to the immutable dictionary.</summary>
-      <param name="key">The key of the element to add.</param>
-      <param name="value">The value of the element to add.</param>
-      <returns>A new immutable dictionary that contains the additional key/value pair.</returns>
-      <exception cref="T:System.ArgumentException">The given key already exists in the dictionary but has a different value.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Adds the specified key/value pairs to the immutable dictionary.</summary>
-      <param name="pairs">The key/value pairs to add.</param>
-      <returns>A new immutable dictionary that contains the additional key/value pairs.</returns>
-      <exception cref="T:System.ArgumentException">One of the given keys already exists in the dictionary but has a different value.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Clear">
-      <summary>Retrieves an empty immutable dictionary that has the same ordering and key/value comparison rules as this dictionary instance.</summary>
-      <returns>An empty dictionary with equivalent ordering and key/value comparison rules.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Contains(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Determines whether this immutable dictionary contains the specified key/value pair.</summary>
-      <param name="pair">The key/value pair to locate.</param>
-      <returns>true if the specified key/value pair is found in the dictionary; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.ContainsKey(`0)">
-      <summary>Determines whether the immutable dictionary contains an element with the specified key.</summary>
-      <param name="key">The key to locate.</param>
-      <returns>true if the immutable dictionary contains an element with the specified key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.ContainsValue(`1)">
-      <summary>Determines whether the immutable dictionary contains an element with the specified value.</summary>
-      <param name="value">The value to locate. The value can be null for reference types.</param>
-      <returns>true if the dictionary contains an element with the specified value; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Count">
-      <summary>Gets the number of key/value pairs in the immutable dictionary.</summary>
-      <returns>The number of key/value pairs in the dictionary.</returns>
-    </member>
-    <member name="F:System.Collections.Immutable.ImmutableDictionary`2.Empty">
-      <summary>Gets an empty immutable dictionary</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable dictionary.</summary>
-      <returns>An enumerator that can be used to iterate through the dictionary.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.IsEmpty">
-      <summary>Gets a value that indicates whether this instance of the immutable dictionary is empty.</summary>
-      <returns>true if this instance is empty; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Item(`0)">
-      <summary>Gets the <paramref name="TValue">TValue</paramref> associated with the specified key.</summary>
-      <param name="key">The type of the key.</param>
-      <returns>The value associated with the specified key. If no results are found, the operation throws an exception.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.KeyComparer">
-      <summary>Gets the key comparer for the immutable dictionary.</summary>
-      <returns>The key comparer.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Keys">
-      <summary>Gets the keys in the immutable dictionary.</summary>
-      <returns>The keys in the immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.Remove(`0)">
-      <summary>Removes the element with the specified key from the immutable dictionary.</summary>
-      <param name="key">The key of the element to remove.</param>
-      <returns>A new immutable dictionary with the specified element removed; or this instance if the specified key cannot be found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements with the specified keys from the immutable dictionary.</summary>
-      <param name="keys">The keys of the elements to remove.</param>
-      <returns>A new immutable dictionary with the specified keys removed; or this instance if the specified keys cannot be found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.SetItem(`0,`1)">
-      <summary>Sets the specified key and value in the immutable dictionary, possibly overwriting an existing value for the key.</summary>
-      <param name="key">The key of the entry to add.</param>
-      <param name="value">The key value to set.</param>
-      <returns>A new immutable dictionary that contains the specified key/value pair.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.SetItems(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Sets the specified key/value pairs in the immutable dictionary, possibly overwriting existing values for the keys.</summary>
-      <param name="items">The key/value pairs to set in the dictionary. If any of the keys already exist in the dictionary, this method will overwrite their previous values.</param>
-      <returns>A new immutable dictionary that contains the specified key/value pairs.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.ToBuilder">
-      <summary>Creates an immutable dictionary with the same contents as this dictionary that can be efficiently mutated across multiple operations by using standard mutable interfaces.</summary>
-      <returns>A collection with the same contents as this dictionary that can be efficiently mutated across multiple operations by using standard mutable interfaces.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.TryGetKey(`0,`0@)">
-      <summary>Determines whether this dictionary contains a specified key.</summary>
-      <param name="equalKey">The key to search for.</param>
-      <param name="actualKey">The matching key located in the dictionary if found, or equalkey if no match is found.</param>
-      <returns>true if a match for <paramref name="equalKey">equalKey</paramref> is found; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.TryGetValue(`0,`1@)">
-      <summary>Gets the value associated with the specified key.</summary>
-      <param name="key">The key whose value will be retrieved.</param>
-      <param name="value">When this method returns, contains the value associated with the specified key, if the key is found; otherwise, contains the default value for the type of the value parameter. This parameter is passed uninitialized.</param>
-      <returns>true if the object that implements the dictionary contains an element with the specified key; otherwise, false.</returns>
-      <exception cref="T:System.ArgumentNullException"><paramref name="key">key</paramref> is null.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.ValueComparer">
-      <summary>Gets the value comparer used to determine whether values are equal.</summary>
-      <returns>The value comparer used to determine whether values are equal.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.Values">
-      <summary>Gets the values in the immutable dictionary.</summary>
-      <returns>The values in the immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.WithComparers(System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Gets an instance of the immutable dictionary that uses the specified key comparer.</summary>
-      <param name="keyComparer">The key comparer to use.</param>
-      <returns>An instance of the immutable dictionary that uses the given comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.WithComparers(System.Collections.Generic.IEqualityComparer{`0},System.Collections.Generic.IEqualityComparer{`1})">
-      <summary>Gets an instance of the immutable dictionary that uses the specified key and value comparers.</summary>
-      <param name="keyComparer">The key comparer to use.</param>
-      <param name="valueComparer">The value comparer to use.</param>
-      <returns>An instance of the immutable dictionary that uses the given comparers.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#Add(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <param name="item"></param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#Clear">
-      
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#CopyTo(System.Collections.Generic.KeyValuePair{`0,`1}[],System.Int32)">
-      <param name="array"></param>
-      <param name="arrayIndex"></param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#IsReadOnly">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#Remove(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <param name="item"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Add(`0,`1)">
-      <param name="key"></param>
-      <param name="value"></param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Item(`0)">
-      <param name="key"></param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Keys">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Remove(`0)">
-      <param name="key"></param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Values">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Generic#IEnumerable{System#Collections#Generic#KeyValuePair{TKey@TValue}}#GetEnumerator">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the dictionary to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the dictionary. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#ICollection#IsSynchronized">
-      <summary>Gets a value indicating whether access to the <see cref="T:System.Collections.ICollection"></see> is synchronized (thread safe).</summary>
-      <returns>true if access to the <see cref="System.Collections.ICollection"></see> is synchronized (thread safe); otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#ICollection#SyncRoot">
-      <summary>Gets an object that can be used to synchronize access to the <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns>An object that can be used to synchronize access to the <see cref="System.Collections.ICollection"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Add(System.Object,System.Object)">
-      <summary>Adds an element with the provided key and value to the immutable dictionary object.</summary>
-      <param name="key">The object to use as the key of the element to add.</param>
-      <param name="value">The object to use as the value of the element to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Clear">
-      <summary>Clears this instance.</summary>
-      <exception cref="T:System.NotSupportedException">The dictionary object is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Contains(System.Object)">
-      <summary>Determines whether the immutable dictionary object contains an element with the specified key.</summary>
-      <param name="key">The key to locate in the dictionary object.</param>
-      <returns>true if the dictionary contains an element with the key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#GetEnumerator">
-      <summary>Returns an <see cref="T:System.Collections.IDictionaryEnumerator"></see> object for the immutable dictionary object.</summary>
-      <returns>An enumerator object for the dictionary object.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IDictionary"></see> object has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IDictionary"></see> object has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Item(System.Object)">
-      <summary>Gets or sets the element with the specified key.</summary>
-      <param name="key">The key.</param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Keys">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the keys of the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the keys of the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Remove(System.Object)">
-      <summary>Removes the element with the specified key from the immutable dictionary object.</summary>
-      <param name="key">The key of the element to remove.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IDictionary#Values">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the values in the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the values in the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An enumerator object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#Add(`0,`1)">
-      <param name="key"></param>
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <param name="pairs"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#Clear">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#Remove(`0)">
-      <param name="key"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <param name="keys"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#SetItem(`0,`1)">
-      <param name="key"></param>
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#SetItems(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <param name="items"></param>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableDictionary">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableDictionary`2"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.Contains``2(System.Collections.Immutable.IImmutableDictionary{``0,``1},``0,``1)">
-      <summary>Determines whether the specified immutable dictionary contains the specified key/value pair.</summary>
-      <param name="map">The immutable dictionary to search.</param>
-      <param name="key">The key to locate in the immutable dictionary.</param>
-      <param name="value">The value to locate on the specified key, if the key is found.</param>
-      <typeparam name="TKey">The type of the keys in the immutable dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the immutable dictionary.</typeparam>
-      <returns>true if this map contains the specified key/value pair; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.Create``2">
-      <summary>Creates an empty immutable dictionary.</summary>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>An empty immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.Create``2(System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Creates an empty immutable dictionary that uses the specified key comparer.</summary>
-      <param name="keyComparer">The implementation to use to determine the equality of keys in the dictionary.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>An empty immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.Create``2(System.Collections.Generic.IEqualityComparer{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Creates an empty immutable dictionary that uses the specified key and value comparers.</summary>
-      <param name="keyComparer">The implementation to use to determine the equality of keys in the dictionary.</param>
-      <param name="valueComparer">The implementation to use to determine the equality of values in the dictionary.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>An empty immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.CreateBuilder``2">
-      <summary>Creates a new immutable dictionary builder.</summary>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>The new builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.CreateBuilder``2(System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Creates a new immutable dictionary builder.</summary>
-      <param name="keyComparer">The key comparer.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>The new builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.CreateBuilder``2(System.Collections.Generic.IEqualityComparer{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Creates a new immutable dictionary builder.</summary>
-      <param name="keyComparer">The key comparer.</param>
-      <param name="valueComparer">The value comparer.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>The new builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.CreateRange``2(System.Collections.Generic.IEqualityComparer{``0},System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Creates a new immutable dictionary that contains the specified items and uses the specified key comparer.</summary>
-      <param name="keyComparer">The comparer implementation to use to compare keys for equality.</param>
-      <param name="items">The items to add to the dictionary before it’s immutable.</param>
-      <typeparam name="TKey">The type of keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values in the dictionary.</typeparam>
-      <returns>A new immutable dictionary that contains the specified items and uses the specified comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.CreateRange``2(System.Collections.Generic.IEqualityComparer{``0},System.Collections.Generic.IEqualityComparer{``1},System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Creates a new immutable dictionary that contains the specified items and uses the specified key comparer.</summary>
-      <param name="keyComparer">The comparer implementation to use to compare keys for equality.</param>
-      <param name="valueComparer">The comparer implementation to use to compare values for equality.</param>
-      <param name="items">The items to add to the dictionary before it’s immutable.</param>
-      <typeparam name="TKey">The type of keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values in the dictionary.</typeparam>
-      <returns>A new immutable dictionary that contains the specified items and uses the specified comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.CreateRange``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Creates a new immutable dictionary that contains the specified items.</summary>
-      <param name="items">The items used to populate the dictionary before it’s immutable.</param>
-      <typeparam name="TKey">The type of keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values in the dictionary.</typeparam>
-      <returns>A new immutable dictionary that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.GetValueOrDefault``2(System.Collections.Immutable.IImmutableDictionary{``0,``1},``0)">
-      <summary>Gets the value for a given key if a matching key exists in the dictionary.</summary>
-      <param name="dictionary">The dictionary to retrieve the value from.</param>
-      <param name="key">The key to search for.</param>
-      <typeparam name="TKey">The type of the key.</typeparam>
-      <typeparam name="TValue">The type of the value.</typeparam>
-      <returns>The value for the key, or default(TValue) if no matching key was found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.GetValueOrDefault``2(System.Collections.Immutable.IImmutableDictionary{``0,``1},``0,``1)">
-      <summary>Gets the value for a given key if a matching key exists in the dictionary.</summary>
-      <param name="dictionary">The dictionary to retrieve the value from.</param>
-      <param name="key">The key to search for.</param>
-      <param name="defaultValue">The default value to return if no matching key is found in the dictionary.</param>
-      <typeparam name="TKey">The type of the key.</typeparam>
-      <typeparam name="TValue">The type of the value.</typeparam>
-      <returns>The value for the key, or <paramref name="defaultValue">defaultValue</paramref> if no matching key was found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Enumerates a sequence of key/value pairs and produces an immutable dictionary of its contents.</summary>
-      <param name="source">The sequence of key/value pairs to enumerate.</param>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the key/value pairs in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Enumerates a sequence of key/value pairs and produces an immutable dictionary of its contents by using the specified key comparer.</summary>
-      <param name="source">The sequence of key/value pairs to enumerate.</param>
-      <param name="keyComparer">The key comparer to use when building the immutable dictionary.</param>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the key/value pairs in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.Collections.Generic.IEqualityComparer{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Enumerates a sequence of key/value pairs and produces an immutable dictionary of its contents by using the specified key and value comparers.</summary>
-      <param name="source">The sequence of key/value pairs to enumerate.</param>
-      <param name="keyComparer">The key comparer to use when building the immutable dictionary.</param>
-      <param name="valueComparer">The value comparer to use for the immutable dictionary.</param>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the key/value pairs in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``3(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Func{``0,``2},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Enumerates and transforms a sequence, and produces an immutable dictionary of its contents by using the specified key comparer.</summary>
-      <param name="source">The sequence to enumerate to generate the dictionary.</param>
-      <param name="keySelector">The function that will produce the key for the dictionary from each sequence element.</param>
-      <param name="elementSelector">The function that will produce the value for the dictionary from each sequence element.</param>
-      <param name="keyComparer">The key comparer to use for the dictionary.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <typeparam name="TKey">The type of the keys in the resulting dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the resulting dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``3(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Func{``0,``2})">
-      <summary>Enumerates and transforms a sequence, and produces an immutable dictionary of its contents.</summary>
-      <param name="source">The sequence to enumerate to generate the dictionary.</param>
-      <param name="keySelector">The function that will produce the key for the dictionary from each sequence element.</param>
-      <param name="elementSelector">The function that will produce the value for the dictionary from each sequence element.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <typeparam name="TKey">The type of the keys in the resulting dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the resulting dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``3(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Func{``0,``2},System.Collections.Generic.IEqualityComparer{``1},System.Collections.Generic.IEqualityComparer{``2})">
-      <summary>Enumerates and transforms a sequence, and produces an immutable dictionary of its contents by using the specified key and value comparers.</summary>
-      <param name="source">The sequence to enumerate to generate the dictionary.</param>
-      <param name="keySelector">The function that will produce the key for the dictionary from each sequence element.</param>
-      <param name="elementSelector">The function that will produce the value for the dictionary from each sequence element.</param>
-      <param name="keyComparer">The key comparer to use for the dictionary.</param>
-      <param name="valueComparer">The value comparer to use for the dictionary.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <typeparam name="TKey">The type of the keys in the resulting dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the resulting dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
-      <summary>Constructs an immutable dictionary from an existing collection of elements, applying a transformation function to the source keys.</summary>
-      <param name="source">The source collection used to generate the immutable dictionary.</param>
-      <param name="keySelector">The function used to transform keys for the immutable dictionary.</param>
-      <typeparam name="TSource">The type of element in the source collection.</typeparam>
-      <typeparam name="TKey">The type of key in the resulting immutable dictionary.</typeparam>
-      <returns>The immutable dictionary that contains elements from <paramref name="source">source</paramref>, with keys transformed by applying <paramref name="keySelector">keySelector</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableDictionary.ToImmutableDictionary``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Constructs an immutable dictionary based on some transformation of a sequence.</summary>
-      <param name="source">The source collection used to generate the immutable dictionary.</param>
-      <param name="keySelector">The function used to transform keys for the immutable dictionary.</param>
-      <param name="keyComparer">The key comparer to use for the dictionary.</param>
-      <typeparam name="TSource">The type of element in the source collection.</typeparam>
-      <typeparam name="TKey">The type of key in the resulting immutable dictionary.</typeparam>
-      <returns>The immutable dictionary that contains elements from <paramref name="source">source</paramref>, with keys transformed by applying <paramref name="keySelector">keySelector</paramref>.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableHashSet`1.Builder">
-      <summary>Represents a hash set that mutates with little or no memory allocations and that can produce or build on immutable hash set instances very efficiently.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.Add(`0)">
-      <summary>Adds the specified item to the immutable hash set.</summary>
-      <param name="item">The item to add.</param>
-      <returns>true if the item did not already belong to the collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.Clear">
-      <summary>Removes all items from the immutable hash set.</summary>
-      <exception cref="T:System.NotSupportedException">The hash set is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.Contains(`0)">
-      <summary>Determines whether the immutable hash set contains a specific value.</summary>
-      <param name="item">The object to locate in the hash set.</param>
-      <returns>true if <paramref name="item">item</paramref> is found in the hash set ; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.Builder.Count">
-      <summary>Gets the number of elements contained in the immutable hash set.</summary>
-      <returns>The number of elements contained in the immutable hash set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.ExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes all elements in the specified collection from the current hash set.</summary>
-      <param name="other">The collection of items to remove from the set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable hash set.</summary>
-      <returns>An enumerator that can be used to iterate through the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.IntersectWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are also in a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.IsProperSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a proper (strict) subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper subset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.IsProperSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a proper (strict) superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper superset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.IsSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a subset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.IsSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a superset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.Builder.KeyComparer">
-      <summary>Gets or sets the key comparer.</summary>
-      <returns>The key comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.Overlaps(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set overlaps with the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set and <paramref name="other">other</paramref> share at least one common element; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.Remove(`0)">
-      <summary>Removes the first occurrence of a specific object from the immutable hash set.</summary>
-      <param name="item">The object to remove from the set.</param>
-      <returns>true if <paramref name="item">item</paramref> was successfully removed from the set ; otherwise, false. This method also returns false if <paramref name="item">item</paramref> is not found in the original set.</returns>
-      <exception cref="T:System.NotSupportedException">The set is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.SetEquals(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set and the specified collection contain the same elements.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is equal to <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.SymmetricExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.ToImmutable">
-      <summary>Creates an immutable hash set based on the contents of this instance.</summary>
-      <returns>An immutable set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.UnionWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains all elements that are present in both the current set and in the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.System#Collections#Generic#ICollection{T}#Add(`0)">
-      <summary>Adds an item to the hash set.</summary>
-      <param name="item">The object to add to the set.</param>
-      <exception cref="T:System.NotSupportedException">The set is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.System#Collections#Generic#ICollection{T}#CopyTo(`0[],System.Int32)">
-      <summary>Copies the elements of the hash set to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the hash set. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.Builder.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Builder.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableHashSet`1.Enumerator">
-      <summary>Enumerates the contents of the immutable hash set without allocating any memory.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.</summary>
-      <returns>The element at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Enumerator.Dispose">
-      <summary>Releases the resources used by the current instance of the <see cref="T:System.Collections.Immutable.ImmutableHashSet`1.Enumerator"></see> class.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Enumerator.MoveNext">
-      <summary>Advances the enumerator to the next element of the immutable hash set.</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the hash set.</returns>
-      <exception cref="T:System.InvalidOperationException">The hash set was modified after the enumerator was created.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Enumerator.Reset">
-      <summary>Sets the enumerator to its initial position, which is before the first element in the hash set.</summary>
-      <exception cref="T:System.InvalidOperationException">The hash set was modified after the enumerator was created.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.Enumerator.System#Collections#IEnumerator#Current">
-      <summary>Gets the current element.</summary>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableHashSet`1">
-      <summary>Represents an immutable, unordered hash set.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the hash set.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Add(`0)">
-      <summary>Adds the specified element to the hash set.</summary>
-      <param name="item">The element to add to the set.</param>
-      <returns>A hash set that contains the added value and any values previously held by the  <see cref="System.Collections.Immutable.ImmutableHashSet`1"></see> object.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Clear">
-      <summary>Retrieves an empty immutable hash set that has the same sorting and ordering semantics as this instance.</summary>
-      <returns>An empty hash set that has the same sorting and ordering semantics as this instance.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Contains(`0)">
-      <summary>Determines whether this immutable hash set contains the specified element.</summary>
-      <param name="item">The object to locate in the immutable hash set.</param>
-      <returns>true if <paramref name="item">item</paramref> is found in the <see cref="System.Collections.Immutable.ImmutableHashSet`1"></see>; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.Count">
-      <summary>Gets the number of elements in the immutable hash set.</summary>
-      <returns>The number of elements in the hash set.</returns>
-    </member>
-    <member name="F:System.Collections.Immutable.ImmutableHashSet`1.Empty">
-      <summary>Gets an immutable hash set for this type that uses the default <see cref="T:System.Collections.Generic.IEqualityComparer`1"></see>.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Except(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements in the specified collection from the current immutable hash set.</summary>
-      <param name="other">The collection of items to remove from this set.</param>
-      <returns>A new set with the items removed; or the original set if none of the items were in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Intersect(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable hash set that contains elements that exist in both this set and the specified set.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new immutable set that contains any elements that exist in both sets.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.IsEmpty">
-      <summary>Gets a value that indicates whether the current immutable hash set is empty.</summary>
-      <returns>true if this instance is empty; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.IsProperSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable hash set is a proper (strict) subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper subset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.IsProperSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable hash set is a proper (strict) superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper superset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.IsSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable hash set is a subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a subset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.IsSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable hash set is a superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a superset of the specified collection; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.KeyComparer">
-      <summary>Gets the object that is used to obtain hash codes for the keys and to check the equality of values in the immutable hash set.</summary>
-      <returns>The comparer used to obtain hash codes for the keys and check equality.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Overlaps(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable hash set overlaps with the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set and the specified collection share at least one common element; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Remove(`0)">
-      <summary>Removes the specified element from this immutable hash set.</summary>
-      <param name="item">The element to remove.</param>
-      <returns>A new set with the specified element removed, or the current set if the element cannot be found in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.SetEquals(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable hash set and the specified collection contain the same elements.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the sets are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.SymmetricExcept(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable hash set that contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new set that contains the elements that are present only in the current set or in the specified collection, but not both.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.ToBuilder">
-      <summary>Creates an immutable hash set that has the same contents as this set and can be efficiently mutated across multiple operations by using standard mutable interfaces.</summary>
-      <returns>A set with the same contents as this set that can be efficiently mutated across multiple operations by using standard mutable interfaces.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.TryGetValue(`0,`0@)">
-      <summary>Searches the set for a given value and returns the equal value it finds, if any.</summary>
-      <param name="equalValue">The value to search for.</param>
-      <param name="actualValue">The value from the set that the search found, or the original value if the search yielded no match.</param>
-      <returns>A value indicating whether the search was successful.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.Union(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates a new immutable hash set that contains all elements that are present in either the current set or in the specified collection.</summary>
-      <param name="other">The collection to add elements from.</param>
-      <returns>A new immutable hash set with the items added; or the original set if all the items were already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.WithComparer(System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Gets an instance of the immutable hash set that uses the specified equality comparer for its search methods.</summary>
-      <param name="equalityComparer">The equality comparer to use.</param>
-      <returns>An instance of this immutable hash set that uses the given comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ICollection{T}#Add(`0)">
-      <summary>Adds an item to the set.</summary>
-      <param name="item">The object to add to the set.</param>
-      <exception cref="T:System.NotSupportedException">The set is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ICollection{T}#Clear">
-      <summary>Removes all items from this set.</summary>
-      <exception cref="T:System.NotSupportedException">The set is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ICollection{T}#CopyTo(`0[],System.Int32)">
-      <summary>Copies the elements of the set to an array, starting at a particular index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the set. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>See the <see cref="T:System.Collections.Generic.ICollection`1"></see> interface.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ICollection{T}#Remove(`0)">
-      <summary>Removes the first occurrence of a specific object from the set.</summary>
-      <param name="item">The object to remove from the set.</param>
-      <returns>true if the element is successfully removed; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that iterates through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ISet{T}#Add(`0)">
-      <summary>Adds an element to the current set and returns a value that indicates whether the element was successfully added.</summary>
-      <param name="item">The element to add to the collection.</param>
-      <returns>true if the element is added to the set; false if the element is already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ISet{T}#ExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes all elements in the specified collection from the current set.</summary>
-      <param name="other">The collection of items to remove.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ISet{T}#IntersectWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are also in a specified collection.</summary>
-      <param name="other">The collection to compare to the current collection.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ISet{T}#SymmetricExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Generic#ISet{T}#UnionWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains all elements that are present in either the current set or in the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the set to an array, starting at a particular index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the set. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#ICollection#IsSynchronized">
-      <summary>See the <see cref="T:System.Collections.ICollection"></see> interface.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#ICollection#SyncRoot">
-      <summary>See <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a set.</summary>
-      <returns>An enumerator that can be used to iterate through the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#Add(`0)">
-      <summary>Adds the specified element to this immutable set.</summary>
-      <param name="item">The element to add.</param>
-      <returns>A new set with the element added, or this set if the element is already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#Clear">
-      <summary>Retrieves an empty set that has the same sorting and ordering semantics as this instance.</summary>
-      <returns>An empty set that has the same sorting or ordering semantics as this instance.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#Except(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements in the specified collection from the current set.</summary>
-      <param name="other">The collection of items to remove from this set.</param>
-      <returns>A new set with the items removed; or the original set if none of the items were in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#Intersect(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable set that contains elements that exist in both this set and the specified set.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new immutable set that contains any elements that exist in both sets.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#Remove(`0)">
-      <summary>Removes the specified element from this immutable set.</summary>
-      <param name="item">The element to remove.</param>
-      <returns>A new set with the specified element removed, or the current set if the element cannot be found in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#SymmetricExcept(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable set that contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new set that contains the elements that are present only in the current set or in the specified collection, but not both.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet`1.System#Collections#Immutable#IImmutableSet{T}#Union(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates a new immutable set that contains all elements that are present in either the current set or in the specified collection.</summary>
-      <param name="other">The collection to add elements from.</param>
-      <returns>A new immutable set with the items added; or the original set if all the items were already in the set.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableHashSet">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableHashSet`1"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.Create``1">
-      <summary>Creates an empty immutable hash set.</summary>
-      <typeparam name="T">The type of items to be stored in the immutable hash set.</typeparam>
-      <returns>An empty immutable hash set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.Create``1(System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Creates an empty immutable hash set that uses the specified equality comparer.</summary>
-      <param name="equalityComparer">The object to use for comparing objects in the set for equality.</param>
-      <typeparam name="T">The type of items in the immutable hash set.</typeparam>
-      <returns>An empty immutable hash set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.Create``1(``0)">
-      <summary>Creates a new immutable hash set that contains the specified item.</summary>
-      <param name="item">The item to prepopulate the hash set with.</param>
-      <typeparam name="T">The type of items in the immutable hash set.</typeparam>
-      <returns>A new immutable hash set that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.Create``1(``0[])">
-      <summary>Creates a new immutable hash set that contains the specified array of items.</summary>
-      <param name="items">An array that contains the items to prepopulate the hash set with.</param>
-      <typeparam name="T">The type of items in the immutable hash set.</typeparam>
-      <returns>A new immutable hash set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.Create``1(System.Collections.Generic.IEqualityComparer{``0},``0)">
-      <summary>Creates a new immutable hash set that contains the specified item and uses the specified equality comparer for the set type.</summary>
-      <param name="equalityComparer">The object to use for comparing objects in the set for equality.</param>
-      <param name="item">The item to prepopulate the hash set with.</param>
-      <typeparam name="T">The type of items in the immutable hash set.</typeparam>
-      <returns>A new immutable hash set that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.Create``1(System.Collections.Generic.IEqualityComparer{``0},``0[])">
-      <summary>Creates a new immutable hash set that contains the items in the specified collection and uses the specified equality comparer for the set type.</summary>
-      <param name="equalityComparer">The object to use for comparing objects in the set for equality.</param>
-      <param name="items">An array that contains the items to prepopulate the hash set with.</param>
-      <typeparam name="T">The type of items stored in the immutable hash set.</typeparam>
-      <returns>A new immutable hash set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.CreateBuilder``1">
-      <summary>Creates a new immutable hash set builder.</summary>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The immutable hash set builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.CreateBuilder``1(System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Creates a new immutable hash set builder.</summary>
-      <param name="equalityComparer">The object to use for comparing objects in the set for equality.</param>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The new immutable hash set builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.CreateRange``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable hash set prefilled with the specified items.</summary>
-      <param name="items">The items to add to the hash set.</param>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The new immutable hash set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.CreateRange``1(System.Collections.Generic.IEqualityComparer{``0},System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable hash set that contains the specified items and uses the specified equality comparer for the set type.</summary>
-      <param name="equalityComparer">The object to use for comparing objects in the set for equality.</param>
-      <param name="items">The items add to the collection before immutability is applied.</param>
-      <typeparam name="T">The type of items stored in the collection.</typeparam>
-      <returns>The new immutable hash set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.ToImmutableHashSet``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Enumerates a sequence and produces an immutable hash set of its contents.</summary>
-      <param name="source">The sequence to enumerate.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <returns>An immutable hash set that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableHashSet.ToImmutableHashSet``1(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Enumerates a sequence, produces an immutable hash set of its contents, and uses the specified equality comparer for the set type.</summary>
-      <param name="source">The sequence to enumerate.</param>
-      <param name="equalityComparer">The object to use for comparing objects in the set for equality.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <returns>An immutable hash set that contains the items in the specified sequence and uses the specified equality comparer.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableInterlocked">
-      <summary>Contains interlocked exchange mechanisms for immutable collections.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.AddOrUpdate``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,System.Func{``0,``1},System.Func{``0,``1,``1})">
-      <summary>Obtains the value from a dictionary after having added it or updated an existing entry.</summary>
-      <param name="location">The variable or field to atomically update if the specified  is not in the dictionary.</param>
-      <param name="key">The key for the value to add or update.</param>
-      <param name="addValueFactory">The function that receives the key and returns a new value to add to the dictionary when no value previously exists.</param>
-      <param name="updateValueFactory">The function that receives the key and prior value and returns the new value with which to update the dictionary.</param>
-      <typeparam name="TKey"></typeparam>
-      <typeparam name="TValue"></typeparam>
-      <returns>The added or updated value.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.AddOrUpdate``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,``1,System.Func{``0,``1,``1})">
-      <summary>Obtains the value from a dictionary after having added it or updated an existing entry.</summary>
-      <param name="location">The variable or field to atomically update if the specified  is not in the dictionary.</param>
-      <param name="key">The key for the value to add or update.</param>
-      <param name="addValue">The value to use if no previous value exists.</param>
-      <param name="updateValueFactory">The function that receives the key and prior value and returns the new value with which to update the dictionary.</param>
-      <typeparam name="TKey"></typeparam>
-      <typeparam name="TValue"></typeparam>
-      <returns>The added or updated value.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.Enqueue``1(System.Collections.Immutable.ImmutableQueue{``0}@,``0)">
-      <summary>Atomically enqueues an element to the end of a queue.</summary>
-      <param name="location">The variable or field to atomically update.</param>
-      <param name="value">The value to enqueue.</param>
-      <typeparam name="T">The type of items contained in the collection</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.GetOrAdd``3(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,System.Func{``0,``2,``1},``2)">
-      <summary>Gets the value for the specified key from the dictionary, or if the key was not found, adds a new value to the dictionary.</summary>
-      <param name="location">The variable or field to update if the specified is not in the dictionary.</param>
-      <param name="key">The key for the value to retrieve or add.</param>
-      <param name="valueFactory">The function to execute to obtain the value to insert into the dictionary if the key is not found.</param>
-      <param name="factoryArgument">The argument to pass to the value factory.</param>
-      <typeparam name="TKey">The type of the keys contained in the collection.</typeparam>
-      <typeparam name="TValue">The type of the values contained in the collection.</typeparam>
-      <typeparam name="TArg"></typeparam>
-      <returns>The value at the specified key or <paramref name="valueFactory">valueFactory</paramref> if the key was not present.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.GetOrAdd``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,System.Func{``0,``1})">
-      <summary>Gets the value for the specified key from the dictionary, or if the key was not found, adds a new value to the dictionary.</summary>
-      <param name="location">The variable or field to atomically update if the specified  is not in the dictionary.</param>
-      <param name="key">The key for the value to retrieve or add.</param>
-      <param name="valueFactory">The function to execute to obtain the value to insert into the dictionary if the key is not found. This delegate will not be invoked more than once.</param>
-      <typeparam name="TKey">The type of the keys contained in the collection.</typeparam>
-      <typeparam name="TValue">The type of the values contained in the collection.</typeparam>
-      <returns>The value at the specified key or <paramref name="valueFactory">valueFactory</paramref> if the key was not present.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.GetOrAdd``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,``1)">
-      <summary>Gets the value for the specified key from the dictionary, or if the key was not found, adds a new value to the dictionary.</summary>
-      <param name="location">The variable or field to atomically update if the specified key is not in the dictionary.</param>
-      <param name="key">The key for the value to get or add.</param>
-      <param name="value">The value to add to the dictionary the key is not found.</param>
-      <typeparam name="TKey">The type of the keys contained in the collection.</typeparam>
-      <typeparam name="TValue">The type of the values contained in the collection.</typeparam>
-      <returns>The value at the specified key or <paramref name="valueFactory">valueFactory</paramref> if the key was not present.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.InterlockedCompareExchange``1(System.Collections.Immutable.ImmutableArray{``0}@,System.Collections.Immutable.ImmutableArray{``0},System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Compares two immutable arrays for equality and, if they are equal, replaces one of the arrays.</summary>
-      <param name="location">The destination, whose value is compared with comparand and possibly replaced.</param>
-      <param name="value">The value that replaces the destination value if the comparison results in equality.</param>
-      <param name="comparand">The value that is compared to the value at location.</param>
-      <typeparam name="T">The type of element stored by the array.</typeparam>
-      <returns>The original value in <paramref name="location">location</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.InterlockedExchange``1(System.Collections.Immutable.ImmutableArray{``0}@,System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Sets an array to the specified array and returns a reference to the original array, as an atomic operation.</summary>
-      <param name="location">The array to set to the specified value.</param>
-      <param name="value">The value to which the location parameter is set.</param>
-      <typeparam name="T">The type of element stored by the array.</typeparam>
-      <returns>The original value of <paramref name="location">location</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.InterlockedInitialize``1(System.Collections.Immutable.ImmutableArray{``0}@,System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Sets an array to the specified array if the array has not been initialized.</summary>
-      <param name="location">The array to set to the specified value.</param>
-      <param name="value">The value to which the location parameter is set, if it’s not initialized.</param>
-      <typeparam name="T">The type of element stored by the array.</typeparam>
-      <returns>true if the array was assigned the specified value;  otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.Push``1(System.Collections.Immutable.ImmutableStack{``0}@,``0)">
-      <summary>Pushes a new element onto the stack.</summary>
-      <param name="location">The stack to update.</param>
-      <param name="value">The value to push on the stack.</param>
-      <typeparam name="T">The type of items in the stack.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.TryAdd``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,``1)">
-      <summary>Adds the specified key and value to the dictionary if the key is not in the dictionary.</summary>
-      <param name="location">The dictionary to update with the specified key and value.</param>
-      <param name="key">The key to add, if is not already defined in the dictionary.</param>
-      <param name="value">The value to add.</param>
-      <typeparam name="TKey">The type of the keys contained in the collection.</typeparam>
-      <typeparam name="TValue">The type of the values contained in the collection.</typeparam>
-      <returns>true if the key is not in the dictionary; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.TryDequeue``1(System.Collections.Immutable.ImmutableQueue{``0}@,``0@)">
-      <summary>Atomically removes and returns the specified element at the head of the queue, if the queue is not empty.</summary>
-      <param name="location">The variable or field to atomically update.</param>
-      <param name="value">Set to the value from the head of the queue, if the queue not empty.</param>
-      <typeparam name="T">The type of items in the queue.</typeparam>
-      <returns>true if the queue is not empty and the head element is removed; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.TryPop``1(System.Collections.Immutable.ImmutableStack{``0}@,``0@)">
-      <summary>Removes an element from the top of the stack, if there is an element to remove.</summary>
-      <param name="location">The stack to update.</param>
-      <param name="value">Receives the value removed from the stack, if the stack is not empty.</param>
-      <typeparam name="T">The type of items in the stack.</typeparam>
-      <returns>true if an element is removed from the stack; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.TryRemove``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,``1@)">
-      <summary>Removes the element with the specified key, if the key exists.</summary>
-      <param name="location">The dictionary to update.</param>
-      <param name="key">The key to remove.</param>
-      <param name="value">Receives the value of the removed item, if the dictionary is not empty.</param>
-      <typeparam name="TKey">The type of the keys contained in the collection.</typeparam>
-      <typeparam name="TValue">The type of the values contained in the collection.</typeparam>
-      <returns>true if the key was found and removed; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.TryUpdate``2(System.Collections.Immutable.ImmutableDictionary{``0,``1}@,``0,``1,``1)">
-      <summary>Sets the specified key to the specified value if the specified key already is set to a specific value.</summary>
-      <param name="location">The dictionary to update.</param>
-      <param name="key">The key to update.</param>
-      <param name="newValue">The new value to set.</param>
-      <param name="comparisonValue">The current value for key in order for the update to succeed.</param>
-      <typeparam name="TKey">The type of the keys contained in the collection.</typeparam>
-      <typeparam name="TValue">The type of the values contained in the collection.</typeparam>
-      <returns>true if <paramref name="key">key</paramref> and <paramref name="comparisonValue">comparisonValue</paramref> are present in the dictionary and comparison was updated to <paramref name="newValue">newValue</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.Update``2(``0@,System.Func{``0,``1,``0},``1)">
-      <summary>Mutates a value in-place with optimistic locking transaction semantics             via a specified transformation function.             The transformation is retried as many times as necessary to win the optimistic locking race.</summary>
-      <param name="location">The variable or field to be changed, which may be accessed by multiple threads.</param>
-      <param name="transformer">A function that mutates the value. This function should be side-effect free,              as it may run multiple times when races occur with other threads.</param>
-      <param name="transformerArgument">The argument to pass to transformer.</param>
-      <typeparam name="T">The type of data.</typeparam>
-      <typeparam name="TArg">The type of argument passed to the transformer.</typeparam>
-      <returns>true if the location&amp;#39;s value is changed by applying the result of the              <paramref name="transformer">transformer</paramref> function;             false if the location&amp;#39;s value remained the same because the last              invocation of <paramref name="transformer">transformer</paramref> returned the existing value.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableInterlocked.Update``1(``0@,System.Func{``0,``0})">
-      <summary>Mutates a value in-place with optimistic locking transaction semantics             via a specified transformation function.             The transformation is retried as many times as necessary to win the optimistic locking race.</summary>
-      <param name="location">The variable or field to be changed, which may be accessed by multiple threads.</param>
-      <param name="transformer">A function that mutates the value. This function should be side-effect free,              as it may run multiple times when races occur with other threads.</param>
-      <typeparam name="T">The type of data.</typeparam>
-      <returns>true if the location&amp;#39;s value is changed by applying the result of the              <paramref name="transformer">transformer</paramref> function;             false if the location&amp;#39;s value remained the same because the last              invocation of <paramref name="transformer">transformer</paramref> returned the existing value.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableList`1.Builder">
-      <summary>Represents a list that mutates with little or no memory allocations and that can produce or build on immutable list instances very efficiently.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Add(`0)">
-      <summary>Adds an item to the immutable list.</summary>
-      <param name="item">The item to add to the list.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Adds a series of elements to the end of this list.</summary>
-      <param name="items">The elements to add to the end of the list.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.BinarySearch(`0)">
-      <summary>Searches the entire <see cref="T:System.Collections.Immutable.ImmutableList`1.Builder"></see> for an element using the default comparer and returns the zero-based index of the element.</summary>
-      <param name="item">The object to locate. The value can be null for reference types.</param>
-      <returns>The zero-based index of item in the <see cref="System.Collections.Immutable.ImmutableList`1.Builder"></see>, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="item">item</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.BinarySearch(`0,System.Collections.Generic.IComparer{`0})">
-      <summary>Searches the entire <see cref="T:System.Collections.Immutable.ImmutableList`1.Builder"></see> for an element using the specified comparer and returns the zero-based index of the element.</summary>
-      <param name="item">The object to locate. This value can be null for reference types.</param>
-      <param name="comparer">The implementation to use when comparing elements, or null for the default comparer.</param>
-      <returns>The zero-based index of item in the <see cref="System.Collections.Immutable.ImmutableList`1.Builder"></see>, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="item">item</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.BinarySearch(System.Int32,System.Int32,`0,System.Collections.Generic.IComparer{`0})">
-      <summary>Searches the specified range of the <see cref="T:System.Collections.Immutable.ImmutableList`1.Builder"></see> for an element using the specified comparer and returns the zero-based index of the element.</summary>
-      <param name="index">The zero-based starting index of the range to search.</param>
-      <param name="count">The length of the range to search.</param>
-      <param name="item">The object to locate. This value can be null for reference types.</param>
-      <param name="comparer">The implementation to use when comparing elements, or null for the default comparer.</param>
-      <returns>The zero-based index of item in the <see cref="System.Collections.Immutable.ImmutableList`1.Builder"></see>, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than <paramref name="item">item</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Clear">
-      <summary>Removes all items from the immutable list.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Contains(`0)">
-      <summary>Determines whether the immutable list contains a specific value.</summary>
-      <param name="item">The object to locate in the list.</param>
-      <returns>true if item is found in the list; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.ConvertAll``1(System.Func{`0,``0})">
-      <summary>Creates a new immutable list from the list represented by this builder by using the converter function.</summary>
-      <param name="converter">The converter function.</param>
-      <typeparam name="TOutput">The type of the output of the delegate converter function.</typeparam>
-      <returns>A new immutable list from the list represented by this builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.CopyTo(`0[])">
-      <summary>Copies the entire immutable list to a compatible one-dimensional array, starting at the beginning of the target array.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the immutable list. The array must have zero-based indexing.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.CopyTo(`0[],System.Int32)">
-      <summary>Copies the entire immutable list to a compatible one-dimensional array, starting at the specified index of the target array.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the immutable list. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.CopyTo(System.Int32,`0[],System.Int32,System.Int32)">
-      <summary>Copies the entire immutable list to a compatible one-dimensional array, starting at the specified index of the target array.</summary>
-      <param name="index">The zero-based index in the source immutable list at which copying begins.</param>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the immutable list. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-      <param name="count">The number of elements to copy.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.Count">
-      <summary>Gets the number of elements in this immutable list.</summary>
-      <returns>The number of elements in this list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Exists(System.Predicate{`0})">
-      <summary>Determines whether the immutable list contains elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to search for.</param>
-      <returns>true if the immutable list contains one or more elements that match the conditions defined by the specified predicate; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Find(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the first occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The first element that matches the conditions defined by the specified predicate, if found; otherwise, the default value for type <paramref name="T">T</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindAll(System.Predicate{`0})">
-      <summary>Retrieves all the elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to search for.</param>
-      <returns>An immutable list containing all the elements that match the conditions defined by the specified predicate, if found; otherwise, an empty immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindIndex(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the first occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the first occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindIndex(System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the first occurrence within the range of elements in the immutable list that extends from the specified index to the last element.</summary>
-      <param name="startIndex">The zero-based starting index of the search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the first occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindIndex(System.Int32,System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the first occurrence within the range of elements in the immutable list that starts at the specified index and contains the specified number of elements.</summary>
-      <param name="startIndex">The zero-based starting index of the search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the first occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindLast(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the last occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The last element that matches the conditions defined by the specified predicate, found; otherwise, the default value for type <paramref name="T">T</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindLastIndex(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the last occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the last occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindLastIndex(System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the last occurrence within the range of elements in the immutable list that extends from the first element to the specified index.</summary>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the last occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.FindLastIndex(System.Int32,System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the last occurrence within the range of elements in the immutable list that contains the specified number of elements and ends at the specified index.</summary>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the last occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.ForEach(System.Action{`0})">
-      <summary>Performs the specified action on each element of the list.</summary>
-      <param name="action">The delegate to perform on each element of the list.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that can be used to iterate through the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.GetRange(System.Int32,System.Int32)">
-      <summary>Creates a shallow copy of a range of elements in the source immutable list.</summary>
-      <param name="index">The zero-based index at which the range starts.</param>
-      <param name="count">The number of elements in the range.</param>
-      <returns>A shallow copy of a range of elements in the source immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.IndexOf(`0)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the immutable list.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <returns>The zero-based index of the first occurrence of <paramref name="item">item</paramref> within the range of elements in the immutable list, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.IndexOf(`0,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the immutable list that extends from the specified index to the last element.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <param name="index">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the immutable list that extends from <paramref name="index">index</paramref> to the last element, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.IndexOf(`0,System.Int32,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the immutable list that starts at the specified index and contains the specified number of elements.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <param name="index">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the immutable list that starts at <paramref name="index">index</paramref> and contains <paramref name="count">count</paramref> number of elements, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.IndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the <see cref="T:System.Collections.Immutable.ImmutableList`1.Builder"></see> that starts at the specified index and contains the specified number of elements.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <param name="index">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements to search.</param>
-      <param name="equalityComparer">The value comparer to use for comparing elements for equality.</param>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the immutable list that starts at <paramref name="index">index</paramref> and contains <paramref name="count">count</paramref> number of elements, if found; otherwise, –1</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Insert(System.Int32,`0)">
-      <summary>Inserts an item to the immutable list at the specified index.</summary>
-      <param name="index">The zero-based index at which item should be inserted.</param>
-      <param name="item">The object to insert into the immutable list.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.InsertRange(System.Int32,System.Collections.Generic.IEnumerable{`0})">
-      <summary>Inserts the elements of a collection into the immutable list at the specified index.</summary>
-      <param name="index">The zero-based index at which the new elements should be inserted.</param>
-      <param name="items">The collection whose elements should be inserted into the immutable list. The collection itself cannot be null, but it can contain elements that are null, if type T is a reference type.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.Item(System.Int32)">
-      <summary>Gets or sets the value for a given index in the list.</summary>
-      <param name="index">The index of the item to get or set.</param>
-      <returns>The value at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.LastIndexOf(`0)">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the entire immutable list.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <returns>The zero-based index of the last occurrence of <paramref name="item">item</paramref> within the entire immutable list, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.LastIndexOf(`0,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the immutable list that extends from the first element to the specified index.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <returns>The zero-based index of the last occurrence of <paramref name="item">item</paramref> within the range of elements in the immutable list that extends from the first element to <paramref name="index">index</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.LastIndexOf(`0,System.Int32,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the immutable list that contains the specified number of elements and ends at the specified index.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <returns>The zero-based index of the last occurrence of <paramref name="item">item</paramref> within the range of elements in the immutable list that contains <paramref name="count">count</paramref> number of elements and ends at <paramref name="index">index</paramref>, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.LastIndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the immutable list that contains the specified number of elements and ends at the specified index.</summary>
-      <param name="item">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements to search.</param>
-      <param name="equalityComparer">The value comparer to use for comparing elements for equality.</param>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the immutable list that starts at <paramref name="index">index</paramref> and contains <paramref name="count">count</paramref> number of elements, if found; otherwise, –1</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Remove(`0)">
-      <summary>Removes the first occurrence of a specific object from the immutable list.</summary>
-      <param name="item">The object to remove from the list.</param>
-      <returns>true if item was successfully removed from the list; otherwise, false. This method also returns false if item is not found in the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.RemoveAll(System.Predicate{`0})">
-      <summary>Removes all the elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to remove.</param>
-      <returns>The number of elements removed from the immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.RemoveAt(System.Int32)">
-      <summary>Removes the item at the specified index of the immutable list.</summary>
-      <param name="index">The zero-based index of the item to remove from the list.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Reverse">
-      <summary>Reverses the order of the elements in the entire immutable list.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Reverse(System.Int32,System.Int32)">
-      <summary>Reverses the order of the elements in the specified range of the immutable list.</summary>
-      <param name="index">The zero-based starting index of the range to reverse.</param>
-      <param name="count">The number of elements in the range to reverse.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Sort">
-      <summary>Sorts the elements in the entire immutable list by using the default comparer.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Sort(System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the elements in the entire immutable list by using the specified comparer.</summary>
-      <param name="comparer">The implementation to use when comparing elements, or null to use the default comparer (<see cref="P:System.Collections.Generic.Comparer`1.Default"></see>).</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Sort(System.Comparison{`0})">
-      <summary>Sorts the elements in the entire immutable list by using the specified comparison object.</summary>
-      <param name="comparison">The object to use when comparing elements.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.Sort(System.Int32,System.Int32,System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the elements in a range of elements in the immutable list  by using the specified comparer.</summary>
-      <param name="index">The zero-based starting index of the range to sort.</param>
-      <param name="count">The length of the range to sort.</param>
-      <param name="comparer">The implementation to use when comparing elements, or null to use the default comparer (<see cref="P:System.Collections.Generic.Comparer`1.Default"></see>).</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.ToImmutable">
-      <summary>Creates an immutable list based on the contents of this instance.</summary>
-      <returns>An immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.TrueForAll(System.Predicate{`0})">
-      <summary>Determines whether every element in the immutable list matches the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions to check against the elements.</param>
-      <returns>true if every element in the immutable list matches the conditions defined by the specified predicate; otherwise, false. If the list has no elements, the return value is true.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>Gets a value indicating whether this instance is read-only.</summary>
-      <returns>Always false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the list to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the list. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#ICollection#IsSynchronized">
-      <summary>Gets a value indicating whether access to the <see cref="T:System.Collections.ICollection"></see> is synchronized (thread safe).</summary>
-      <returns>true if access to the <see cref="System.Collections.ICollection"></see> is synchronized (thread safe); otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#ICollection#SyncRoot">
-      <summary>Gets an object that can be used to synchronize access to the <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns>An object that can be used to synchronize access to the <see cref="System.Collections.ICollection"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#Add(System.Object)">
-      <summary>Adds an item to the list.</summary>
-      <param name="value">The object to add to the list.</param>
-      <returns>The position into which the new element was inserted, or -1 to indicate that the item was not inserted into the collection.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#Clear">
-      <summary>Removes all items from the list.</summary>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#Contains(System.Object)">
-      <summary>Determines whether the list contains a specific value.</summary>
-      <param name="value">The object to locate in the list.</param>
-      <returns>true if the <see cref="System.Object"></see> is found in the list; otherwise, false.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#IndexOf(System.Object)">
-      <summary>Determines the index of a specific item in the list.</summary>
-      <param name="value">The object to locate in the list.</param>
-      <returns>The index of <paramref name="value">value</paramref> if found in the list; otherwise, -1.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#Insert(System.Int32,System.Object)">
-      <summary>Inserts an item to the list at the specified index.</summary>
-      <param name="index">The zero-based index at which value should be inserted.</param>
-      <param name="value">The object to insert into the list.</param>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IList"></see> has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IList"></see> has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#Item(System.Int32)">
-      <summary>Gets or sets the <see cref="T:System.Object"></see> at the specified index.</summary>
-      <param name="index">The index.</param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Builder.System#Collections#IList#Remove(System.Object)">
-      <summary>Removes the first occurrence of a specific object from the list.</summary>
-      <param name="value">The object to remove from the list.</param>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableList`1.Enumerator">
-      <summary>Enumerates the contents of a binary tree.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.</summary>
-      <returns>The element at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Enumerator.Dispose">
-      <summary>Releases the resources used by the current instance of the <see cref="T:System.Collections.Immutable.ImmutableList`1.Enumerator"></see> class.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Enumerator.MoveNext">
-      <summary>Advances enumeration to the next element of the immutable list.</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Enumerator.Reset">
-      <summary>Sets the enumerator to its initial position, which is before the first element in the immutable list.</summary>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Enumerator.System#Collections#IEnumerator#Current">
-      <summary>The current element.</summary>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableList`1">
-      <summary>Represents an immutable list, which is a strongly typed list of objects that can be accessed by index.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the list.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Add(`0)">
-      <summary>Adds the specified object to the end of the immutable list.</summary>
-      <param name="value">The object to add.</param>
-      <returns>A new immutable list with the object added, or the current list if it already contains the specified object.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Adds the elements of the specified collection to the end of the immutable list.</summary>
-      <param name="items">The collection whose elements will be added to the end of the list.</param>
-      <returns>A new immutable list with the elements added, or the current list if it already contains the specified elements.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.BinarySearch(`0)">
-      <summary>Searches the entire sorted list for an element using the default comparer and returns the zero-based index of the element.</summary>
-      <param name="item">The object to locate. The value can be null for reference types.</param>
-      <returns>The zero-based index of item in the sorted List, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than item or, if there is no larger element, the bitwise complement of <see cref="System.Collections.ICollection.Count"></see>.</returns>
-      <exception cref="T:System.InvalidOperationException">The default comparer cannot find a comparer implementation of the for type T.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.BinarySearch(`0,System.Collections.Generic.IComparer{`0})">
-      <summary>Searches the entire sorted list for an element using the specified comparer and returns the zero-based index of the element.</summary>
-      <param name="item">The object to locate. The value can be null for reference types.</param>
-      <param name="comparer">The  comparer implementation to use when comparing elements or null to use the default comparer.</param>
-      <returns>The zero-based index of item in the sorted List, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than item or, if there is no larger element, the bitwise complement of <see cref="System.Collections.ICollection.Count"></see>.</returns>
-      <exception cref="T:System.InvalidOperationException">comparer is null, and the default comparer cannot find an comparer implementation for type T.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.BinarySearch(System.Int32,System.Int32,`0,System.Collections.Generic.IComparer{`0})">
-      <summary>Searches a range of elements in the sorted list for an element using the specified comparer and returns the zero-based index of the element.</summary>
-      <param name="index">The zero-based starting index of the range to search.</param>
-      <param name="count">The length of the range to search.</param>
-      <param name="item">The object to locate. The value can be null for reference types.</param>
-      <param name="comparer">The comparer implementation to use when comparing elements, or null to use the default comparer.</param>
-      <returns>The zero-based index of item in the sorted list, if item is found; otherwise, a negative number that is the bitwise complement of the index of the next element that is larger than item or, if there is no larger element, the bitwise complement of <paramref name="count">count</paramref>.</returns>
-      <exception cref="T:System.ArgumentOutOfRangeException">index is less than 0 or <paramref name="count">count</paramref> is less than 0.</exception>
-      <exception cref="T:System.ArgumentException">index and <paramref name="count">count</paramref> do not denote a valid range in the list.</exception>
-      <exception cref="T:System.InvalidOperationException"><paramref name="comparer">comparer</paramref> is null, and the default comparer cannot find an comparer implementation for type T.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Clear">
-      <summary>Removes all elements from the immutable list.</summary>
-      <returns>An empty list that retains the same sort or unordered semantics that this instance has.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Contains(`0)">
-      <summary>Determines whether this immutable list contains the specified value.</summary>
-      <param name="value">The value to locate.</param>
-      <returns>true if the list contains the specified value; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.ConvertAll``1(System.Func{`0,``0})">
-      <summary>Converts the elements in the current immutable list to another type, and returns a list containing the converted elements.</summary>
-      <param name="converter">A delegate that converts each element from one type to another type.</param>
-      <typeparam name="TOutput">The type of the elements of the target array.</typeparam>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.CopyTo(`0[],System.Int32)">
-      <summary>Copies the entire immutable list to a compatible one-dimensional array, starting at the specified index of the target array.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the immutable list. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.CopyTo(System.Int32,`0[],System.Int32,System.Int32)">
-      <summary>Copies a range of elements from the immutable list to a compatible one-dimensional array, starting at the specified index of the target array.</summary>
-      <param name="index">The zero-based index in the source immutable list at which copying begins.</param>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the immutable list. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-      <param name="count">The number of elements to copy.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.CopyTo(`0[])">
-      <summary>Copies the entire immutable list to a compatible one-dimensional array, starting at the beginning of the target array.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the immutable list. The array must have zero-based indexing.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Count">
-      <summary>Gets the number of elements contained in the list.</summary>
-      <returns>The number of elements in the list.</returns>
-    </member>
-    <member name="F:System.Collections.Immutable.ImmutableList`1.Empty">
-      <summary>Gets an empty set with the default sort comparer.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Exists(System.Predicate{`0})">
-      <summary>Determines whether the immutable list contains elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to search for.</param>
-      <returns>true if the immutable list contains one or more elements that match the conditions defined by the specified predicate; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Find(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the first occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The first element that matches the conditions defined by the specified predicate, if found; otherwise, the default value for type <paramref name="T">T</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindAll(System.Predicate{`0})">
-      <summary>Retrieves all the elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to search for.</param>
-      <returns>An immutable list that contains all the elements that match the conditions defined by the specified predicate, if found; otherwise, an empty immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindIndex(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the first occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the first occurrence of an element that matches the conditions defined by match, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindIndex(System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the first occurrence within the range of elements in the immutable list that extends from the specified index to the last element.</summary>
-      <param name="startIndex">The zero-based starting index of the search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the first occurrence of an element that matches the conditions defined by match, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindIndex(System.Int32,System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the first occurrence within the range of elements in the immutable list that starts at the specified index and contains the specified number of elements.</summary>
-      <param name="startIndex">The zero-based starting index of the search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the first occurrence of an element that matches the conditions defined by match, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindLast(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the last occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The last element that matches the conditions defined by the specified predicate, if found; otherwise, the default value for type <paramref name="T">T</paramref>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindLastIndex(System.Int32,System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the last occurrence within the range of elements in the immutable list that contains the specified number of elements and ends at the specified index.</summary>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the last occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindLastIndex(System.Int32,System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the last occurrence within the range of elements in the immutable list that extends from the first element to the specified index.</summary>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the last occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.FindLastIndex(System.Predicate{`0})">
-      <summary>Searches for an element that matches the conditions defined by the specified predicate, and returns the zero-based index of the last occurrence within the entire immutable list.</summary>
-      <param name="match">The delegate that defines the conditions of the element to search for.</param>
-      <returns>The zero-based index of the last occurrence of an element that matches the conditions defined by <paramref name="match">match</paramref>, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.ForEach(System.Action{`0})">
-      <summary>Performs the specified action on each element of the immutable list.</summary>
-      <param name="action">The delegate to perform on each element of the immutable list.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable list.</summary>
-      <returns>An enumerator  that can be used to iterate through the immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.GetRange(System.Int32,System.Int32)">
-      <summary>Creates a shallow copy of a range of elements in the source immutable list.</summary>
-      <param name="index">The zero-based index at which the range starts.</param>
-      <param name="count">The number of elements in the range.</param>
-      <returns>A shallow copy of a range of elements in the source immutable list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.IndexOf(`0)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the entire immutable list.</summary>
-      <param name="value">The object to locate in the immutable list. The value can be null for reference types.</param>
-      <returns>The zero-based index of the first occurrence of <paramref name="value">value</paramref> within the entire immutable list, if found; otherwise, ?1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.IndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the list that starts at the specified index and contains the specified number of elements.</summary>
-      <param name="item">The object to locate in the list The value can be null for reference types.</param>
-      <param name="index">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the list that starts at index and contains count number of elements, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Insert(System.Int32,`0)">
-      <summary>Inserts the specified object into the immutable list at the specified index.</summary>
-      <param name="index">The zero-based index at which to insert the object.</param>
-      <param name="item">The object to insert.</param>
-      <returns>The new immutable list after the object is inserted.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.InsertRange(System.Int32,System.Collections.Generic.IEnumerable{`0})">
-      <summary>Inserts the elements of a collection into the immutable list at the specified index.</summary>
-      <param name="index">The zero-based index at which to insert the elements.</param>
-      <param name="items">The collection whose elements should be inserted.</param>
-      <returns>The new immutable list after the elements are inserted.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.IsEmpty">
-      <summary>Gets a value that indicates whether this list is empty.</summary>
-      <returns>true if the list is empty; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.Item(System.Int32)">
-      <summary>Gets the element at the specified index of the list.</summary>
-      <param name="index">The index of the element to retrieve.</param>
-      <returns>The element at the specified index.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.LastIndexOf(`0,System.Int32,System.Int32,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the list that contains the specified number of elements and ends at the specified index.</summary>
-      <param name="item">The object to locate in the list. The value can be null for reference types.</param>
-      <param name="index">The zero-based starting index of the backward search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The zero-based index of the last occurrence of item within the range of elements in the list that contains count number of elements and ends at index, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Remove(`0)">
-      <summary>Removes the first occurrence of the specified object from this immutable list.</summary>
-      <param name="value">The object to remove.</param>
-      <returns>A new list with the object removed, or this list if the specified object is not in this list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Remove(`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the first occurrence of the object that matches the specified value from this immutable list.</summary>
-      <param name="value">The value of the element to remove from the list.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new list with the object removed, or this list if the specified object is not in this list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.RemoveAll(System.Predicate{`0})">
-      <summary>Removes all the elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to remove.</param>
-      <returns>The new list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.RemoveAt(System.Int32)">
-      <summary>Removes the element at the specified index.</summary>
-      <param name="index">The zero-based index of the element to remove.</param>
-      <returns>A new list with the element removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes a range of elements from this immutable list.</summary>
-      <param name="items">The collection whose elements should be removed if matches are found in this list.</param>
-      <returns>A new list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.RemoveRange(System.Collections.Generic.IEnumerable{`0},System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the specified values from this list.</summary>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>A new list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.RemoveRange(System.Int32,System.Int32)">
-      <summary>Removes a range of elements, starting from the specified index and containing the specified number of elements, from this immutable list.</summary>
-      <param name="index">The starting index to begin removal.</param>
-      <param name="count">The number of elements to remove.</param>
-      <returns>A new list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Replace(`0,`0)">
-      <summary>Replaces the specified element in the immutable list with a new element.</summary>
-      <param name="oldValue">The element to replace.</param>
-      <param name="newValue">The element to replace oldValue with.</param>
-      <returns>The new list with the replaced element, even if it is equal to the old element.</returns>
-      <exception cref="T:System.ArgumentException"><paramref name="oldValue">oldValue</paramref> does not exist in the immutable list.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Replace(`0,`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Replaces the specified element in the immutable list with a new element.</summary>
-      <param name="oldValue">The element to replace in the list.</param>
-      <param name="newValue">The element to replace oldValue with.</param>
-      <param name="equalityComparer">The comparer to use to check for equality.</param>
-      <returns>A new list with the object replaced, or this list if the specified object is not in this list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Reverse(System.Int32,System.Int32)">
-      <summary>Reverses the order of the elements in the specified range of the immutable list.</summary>
-      <param name="index">The zero-based starting index of the range to reverse.</param>
-      <param name="count">The number of elements in the range to reverse.</param>
-      <returns>The reversed list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Reverse">
-      <summary>Reverses the order of the elements in the entire immutable list.</summary>
-      <returns>The reversed list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.SetItem(System.Int32,`0)">
-      <summary>Replaces an element at a given position in the immutable list with the specified element.</summary>
-      <param name="index">The position in the list of the element to replace.</param>
-      <param name="value">The element to replace the old element with.</param>
-      <returns>The new list with the replaced element, even if it is equal to the old element at that position.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Sort">
-      <summary>Sorts the elements in the entire immutable list using the default comparer.</summary>
-      <returns>The sorted list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Sort(System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts the elements in the entire immutable list using the specified comparer.</summary>
-      <param name="comparer">The  implementation to use when comparing elements, or null to use the default comparer (<see cref="P:System.Collections.Generic.Comparer`1.Default"></see>).</param>
-      <returns>The sorted list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Sort(System.Comparison{`0})">
-      <summary>Sorts the elements in the entire immutable list using the specified comparer.</summary>
-      <param name="comparison">The delegate to use when comparing elements.</param>
-      <returns>The sorted list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.Sort(System.Int32,System.Int32,System.Collections.Generic.IComparer{`0})">
-      <summary>Sorts a range of elements in the immutable list using the specified comparer.</summary>
-      <param name="index">The zero-based starting index of the range to sort.</param>
-      <param name="count">The length of the range to sort.</param>
-      <param name="comparer">The implementation to use when comparing elements, or null to use the default comparer (<see cref="P:System.Collections.Generic.Comparer`1.Default"></see>).</param>
-      <returns>The sorted list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.ToBuilder">
-      <summary>Creates a list that has the same contents as this list and can be efficiently mutated across multiple operations using standard mutable interfaces.</summary>
-      <returns>The created list with the same contents as this list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.TrueForAll(System.Predicate{`0})">
-      <summary>Determines whether every element in the immutable list matches the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions to check against the elements.</param>
-      <returns>true if every element in the immutable list matches the conditions defined by the specified predicate; otherwise, false. If the list has no elements, the return value is true.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#ICollection{T}#Add(`0)">
-      <summary>Adds the specified item to the immutable list.</summary>
-      <param name="item">The item to add.</param>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#ICollection{T}#Clear">
-      <summary>Removes all items from the immutable list.</summary>
-      <exception cref="T:System.NotSupportedException"></exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#ICollection{T}#Remove(`0)">
-      <summary>Removes the first occurrence of a specific object from the immutable list.</summary>
-      <param name="item">The object to remove.</param>
-      <returns>true if <paramref name="item">item</paramref> was successfully removed from the list; otherwise, false. This method also returns false if <paramref name="item">item</paramref> is not found in the original list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable list.</summary>
-      <returns>An enumerator that can be used to iterate through the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#IList{T}#Insert(System.Int32,`0)">
-      <summary>Inserts an object in the immutable list at the specified index.</summary>
-      <param name="index">The zero-based index at which item should be inserted.</param>
-      <param name="item">The object to insert.</param>
-      <exception cref="T:System.NotSupportedException"></exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#IList{T}#Item(System.Int32)">
-      <summary>Gets or sets the value at the specified index.</summary>
-      <param name="index"></param>
-      <returns></returns>
-      <exception cref="T:System.IndexOutOfRangeException">Thrown from getter when <paramref name="index">index</paramref> is negative or not less than <see cref="System.Collections.Immutable.ImmutableList`1.Count"></see>.</exception>
-      <exception cref="T:System.NotSupportedException">Always thrown from the setter.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Generic#IList{T}#RemoveAt(System.Int32)">
-      <summary>Removes the value at the specified index.</summary>
-      <param name="index">The zero-based index of the item to remove.</param>
-      <exception cref="T:System.NotSupportedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the entire immutable list to a compatible one-dimensional array, starting at the specified array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from immutable list.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#ICollection#IsSynchronized">
-      <summary>See the <see cref="T:System.Collections.ICollection"></see> interface.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#ICollection#SyncRoot">
-      <summary>See <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable list.</summary>
-      <returns>An enumerator that can be used to iterate through the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#Add(System.Object)">
-      <summary>Adds an item to the immutable list.</summary>
-      <param name="value">The object to add to the list.</param>
-      <returns>The position into which the new element was inserted, or -1 to indicate that the item was not inserted into the list.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#Clear">
-      <summary>Removes all items from the immutable list.</summary>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#Contains(System.Object)">
-      <summary>Determines whether the immutable list contains a specific value.</summary>
-      <param name="value">The object to locate in the list.</param>
-      <returns>true if the object is found in the list; otherwise, false.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#IndexOf(System.Object)">
-      <summary>Determines the index of a specific item in the immutable list.</summary>
-      <param name="value">The object to locate in the list.</param>
-      <returns>The index of <paramref name="value">value</paramref> if found in the list; otherwise, -1.</returns>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#Insert(System.Int32,System.Object)">
-      <summary>Inserts an item into the immutable list at the specified index.</summary>
-      <param name="index">The zero-based index at which value should be inserted.</param>
-      <param name="value">The object to insert into the list.</param>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IList"></see> has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IList"></see> has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#Item(System.Int32)">
-      <summary>Gets or sets the <see cref="T:System.Object"></see> at the specified index.</summary>
-      <param name="index">The index.</param>
-      <returns>The value at the specified index.</returns>
-      <exception cref="T:System.IndexOutOfRangeException">Thrown from getter when <paramref name="index">index</paramref> is negative or not less than <see cref="System.Collections.Immutable.ImmutableList`1.Count"></see>.</exception>
-      <exception cref="T:System.NotSupportedException">Always thrown from the setter.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#Remove(System.Object)">
-      <summary>Removes the first occurrence of a specific object from the immutable list.</summary>
-      <param name="value">The object to remove from the list.</param>
-      <exception cref="T:System.NotImplementedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#IList#RemoveAt(System.Int32)">
-      <summary>Removes the item at the specified index of the immutable list.</summary>
-      <param name="index">The zero-based index of the item to remove.</param>
-      <exception cref="T:System.NotSupportedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#Add(`0)">
-      <summary>Adds the specified value to this immutable list.</summary>
-      <param name="value">The value to add.</param>
-      <returns>A new list with the element added, or this list if the element is already in the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#AddRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Adds the specified values to this immutable list.</summary>
-      <param name="items">The values to add.</param>
-      <returns>A new list with the elements added, or this list if the elements are already in the list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#Clear">
-      <summary>Retrieves an empty list that has the same sorting and ordering semantics as this instance.</summary>
-      <returns>An empty list that has the same sorting and ordering semantics as this instance.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#Insert(System.Int32,`0)">
-      <summary>Inserts the specified element at the specified index in the immutable list.</summary>
-      <param name="index">The index at which to insert the value.</param>
-      <param name="item">The element to insert.</param>
-      <returns>A new immutable list that includes the specified element.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#InsertRange(System.Int32,System.Collections.Generic.IEnumerable{`0})">
-      <summary>Inserts the specified elements at the specified index in the immutable list.</summary>
-      <param name="index">The index at which to insert the elements.</param>
-      <param name="items">The elements to insert.</param>
-      <returns>A new immutable list that includes the specified elements.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#Remove(`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes the element with the specified value from the list.</summary>
-      <param name="value">The value of the element to remove from the list.</param>
-      <param name="equalityComparer">The comparer to use to compare elements for equality.</param>
-      <returns>Returns a new <see cref="System.Collections.Immutable.ImmutableList`1"></see> with the specified element removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#RemoveAll(System.Predicate{`0})">
-      <summary>Removes all the elements that match the conditions defined by the specified predicate.</summary>
-      <param name="match">The delegate that defines the conditions of the elements to remove.</param>
-      <returns>A new immutable list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#RemoveAt(System.Int32)">
-      <summary>Removes the element at the specified index of the immutable list.</summary>
-      <param name="index">The index of the element to remove.</param>
-      <returns>A new list with the element removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#RemoveRange(System.Collections.Generic.IEnumerable{`0},System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Removes a range of elements from this immutable list that match the items specified.</summary>
-      <param name="items">The range of items to remove from the list, if found.</param>
-      <param name="equalityComparer">The equality comparer to use to compare elements.</param>
-      <returns>An immutable list with the items removed.</returns>
-      <exception cref="T:System.ArgumentNullException"><paramref name="items">items</paramref> or <paramref name="equalityComparer">equalityComparer</paramref> is null.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#RemoveRange(System.Int32,System.Int32)">
-      <summary>Removes the specified number of elements at the specified location from this list.</summary>
-      <param name="index">The starting index of the range of elements to remove.</param>
-      <param name="count">The number of elements to remove.</param>
-      <returns>A new list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#Replace(`0,`0,System.Collections.Generic.IEqualityComparer{`0})">
-      <summary>Replaces an element in the list with the specified element.</summary>
-      <param name="oldValue">The element to replace.</param>
-      <param name="newValue">The element to replace the old element with.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <returns>The new list.</returns>
-      <exception cref="T:System.ArgumentException">Thrown when the old value does not exist in the list.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList`1.System#Collections#Immutable#IImmutableList{T}#SetItem(System.Int32,`0)">
-      <summary>Replaces an element in the list at a given position with the specified element.</summary>
-      <param name="index">The position in the list of the element to replace.</param>
-      <param name="value">The element to replace the old element with.</param>
-      <returns>The new list.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableList">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableList`1"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.Create``1">
-      <summary>Creates an empty immutable list.</summary>
-      <typeparam name="T">The type of items to be stored in the .</typeparam>
-      <returns>An empty .</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.Create``1(``0)">
-      <summary>Creates a new immutable list that contains the specified item.</summary>
-      <param name="item">The item to prepopulate the list with.</param>
-      <typeparam name="T">The type of items in the .</typeparam>
-      <returns>A new  that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.Create``1(``0[])">
-      <summary>Creates a new immutable list that contains the specified array of items.</summary>
-      <param name="items">An array that contains the items to prepopulate the list with.</param>
-      <typeparam name="T">The type of items in the .</typeparam>
-      <returns>A new immutable list that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.CreateBuilder``1">
-      <summary>Creates a new immutable list builder.</summary>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The immutable collection builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.CreateRange``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable list that contains the specified items.</summary>
-      <param name="items">The items to add to the list.</param>
-      <typeparam name="T">The type of items in the .</typeparam>
-      <returns>Returns an immutable list that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.IndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the immutable list that extends from the specified index to the last element.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the Immutable list that extends from index to the last element, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.IndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0,System.Int32,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the range of elements in the immutable list that extends from the specified index to the last element.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the search. 0 (zero) is valid in an empty list.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the Immutable list that extends from index to the last element, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.IndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0)">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the list.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the list. The value can be null for reference types.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the list that extends from index to the last element, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.IndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0,System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Searches for the specified object and returns the zero-based index of the first occurrence within the list.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the first occurrence of item within the range of elements in the immutable list that extends from index to the last element, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.LastIndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0)">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the entire immutable list.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the last occurrence of item within the entire the Immutable list, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.LastIndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0,System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the entire immutable list.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <param name="equalityComparer">The equality comparer to use in the search.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the last occurrence of item within the entire the Immutable list, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.LastIndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the immutable list that extends from the first element to the specified index.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the last occurrence of item within the range of elements in the Immutable list that extends from the first element to index, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.LastIndexOf``1(System.Collections.Immutable.IImmutableList{``0},``0,System.Int32,System.Int32)">
-      <summary>Searches for the specified object and returns the zero-based index of the last occurrence within the range of elements in the immutable list that extends from the first element to the specified index.</summary>
-      <param name="list">The list to search.</param>
-      <param name="item">The object to locate in the Immutable list. The value can be null for reference types.</param>
-      <param name="startIndex">The zero-based starting index of the backward search.</param>
-      <param name="count">The number of elements in the section to search.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The zero-based index of the last occurrence of item within the range of elements in the Immutable list that extends from the first element to index, if found; otherwise, –1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.Remove``1(System.Collections.Immutable.IImmutableList{``0},``0)">
-      <summary>Removes the specified value from this list.</summary>
-      <param name="list">The list to search.</param>
-      <param name="value">The value to remove.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>A new immutable list with the element removed, or this list if the element is not in this list.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.RemoveRange``1(System.Collections.Immutable.IImmutableList{``0},System.Collections.Generic.IEnumerable{``0})">
-      <summary>Removes the specified values from this list.</summary>
-      <param name="list">The list to search.</param>
-      <param name="items">The items to remove if matches are found in this list.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>A new immutable list with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.Replace``1(System.Collections.Immutable.IImmutableList{``0},``0,``0)">
-      <summary>Replaces the first equal element in the list with the specified element.</summary>
-      <param name="list">The list to search.</param>
-      <param name="oldValue">The element to replace.</param>
-      <param name="newValue">The element to replace the old element with.</param>
-      <typeparam name="T">The type of items in the list.</typeparam>
-      <returns>The new list -- even if the value being replaced is equal to the new value for that position.</returns>
-      <exception cref="T:System.ArgumentException">Thrown when the old value does not exist in the list.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableList.ToImmutableList``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Enumerates a sequence and produces an immutable list of its contents.</summary>
-      <param name="source">The sequence to enumerate.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <returns>An immutable list that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableQueue`1.Enumerator">
-      <summary>Enumerates the contents of an immutable queue without allocating any memory.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableQueue`1.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.</summary>
-      <returns>The element at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.Enumerator.MoveNext">
-      <summary>Advances the enumerator to the next element of the immutable queue.</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the queue.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableQueue`1">
-      <summary>Represents an immutable queue.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the queue.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.Clear">
-      <summary>Removes all objects from the immutable queue.</summary>
-      <returns>The empty immutable queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.Dequeue">
-      <summary>Removes the element at the beginning of the immutable queue, and returns the new queue.</summary>
-      <returns>The new immutable queue; never null.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.Dequeue(`0@)">
-      <summary>Removes the item at the beginning of the immutable queue, and returns the new queue.</summary>
-      <param name="value">When this method returns, contains the element from the beginning of the queue.</param>
-      <returns>The new immutable queue with the beginning element removed.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableQueue`1.Empty">
-      <summary>Gets an empty immutable queue.</summary>
-      <returns>An empty immutable queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.Enqueue(`0)">
-      <summary>Adds an element to the end of the immutable queue, and returns the new queue.</summary>
-      <param name="value">The element to add.</param>
-      <returns>The new immutable queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable queue.</summary>
-      <returns>An enumerator that can be used to iterate through the queue.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableQueue`1.IsEmpty">
-      <summary>Gets a value that indicates whether this immutable queue is empty.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <returns>true if this queue is empty; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.Peek">
-      <summary>Returns the element at the beginning of the immutable queue without removing it.</summary>
-      <returns>The element at the beginning of the queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator  that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An <see cref="System.Collections.IEnumerator"></see> object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.System#Collections#Immutable#IImmutableQueue{T}#Clear">
-      <summary>Removes all elements from the immutable queue.</summary>
-      <returns>The empty immutable queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.System#Collections#Immutable#IImmutableQueue{T}#Dequeue">
-      <summary>Removes the element at the beginning of the immutable queue, and returns the new queue.</summary>
-      <returns>The new immutable queue; never null.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue`1.System#Collections#Immutable#IImmutableQueue{T}#Enqueue(`0)">
-      <summary>Adds an element to the end of the immutable queue, and returns the new queue.</summary>
-      <param name="value">The element to add.</param>
-      <returns>The new immutable queue.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableQueue">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableQueue`1"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue.Create``1">
-      <summary>Creates an empty immutable queue.</summary>
-      <typeparam name="T">The type of items to be stored in the immutable queue.</typeparam>
-      <returns>An empty immutable queue.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue.Create``1(``0)">
-      <summary>Creates a new immutable queue that contains the specified item.</summary>
-      <param name="item">The item to prepopulate the queue with.</param>
-      <typeparam name="T">The type of items in the immutable queue.</typeparam>
-      <returns>A new immutable queue that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue.Create``1(``0[])">
-      <summary>Creates a new immutable queue that contains the specified array of items.</summary>
-      <param name="items">An array that contains the items to prepopulate the queue with.</param>
-      <typeparam name="T">The type of items in the immutable queue.</typeparam>
-      <returns>A new immutable queue that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue.CreateRange``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable queue that contains the specified items.</summary>
-      <param name="items">The items to add to the queue before immutability is applied.</param>
-      <typeparam name="T">The type of elements in the queue.</typeparam>
-      <returns>An immutable queue that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableQueue.Dequeue``1(System.Collections.Immutable.IImmutableQueue{``0},``0@)">
-      <summary>Removes the item at the beginning of the immutable queue, and returns the new queue.</summary>
-      <param name="queue">The queue to remove the item from.</param>
-      <param name="value">When this method returns, contains the item from the beginning of the queue.</param>
-      <typeparam name="T">The type of elements in the immutable queue.</typeparam>
-      <returns>The new queue with the item removed.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder">
-      <summary>Represents a sorted dictionary that mutates with little or no memory allocations and that can produce or build on immutable sorted dictionary instances very efficiently.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey"></typeparam>
-      <typeparam name="TValue"></typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Add(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Adds the specified item to the immutable sorted dictionary.</summary>
-      <param name="item">The object to add to the dictionary.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Add(`0,`1)">
-      <summary>Adds an element that has the specified key and value to the immutable sorted dictionary.</summary>
-      <param name="key">The key of the element to add.</param>
-      <param name="value">The value of the element to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Adds a sequence of values to the immutable sorted dictionary.</summary>
-      <param name="items">The items to add to the dictionary.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Clear">
-      <summary>Removes all items from the immutable sorted dictionary.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Contains(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Determines whether the immutable sorted dictionary contains a specific value.</summary>
-      <param name="item">The object to locate in the dictionary.</param>
-      <returns>true if <paramref name="item">item</paramref> is found in the dictionary; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.ContainsKey(`0)">
-      <summary>Determines whether the immutable sorted dictionary contains an element with the specified key.</summary>
-      <param name="key">The key to locate in the dictionary.</param>
-      <returns>true if the dictionary contains an element with the key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.ContainsValue(`1)">
-      <summary>Determines whether the immutable sorted dictionary contains an element with the specified value.</summary>
-      <param name="value">The value to locate in the dictionary. The value can be null for reference types.</param>
-      <returns>true if the immutable sorted dictionary contains an element with the specified value; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Count">
-      <summary>Gets the number of elements in this immutable sorted dictionary.</summary>
-      <returns>The number of elements in this dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable sorted dictionary.</summary>
-      <returns>An enumerator that can be used to iterate through the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.GetValueOrDefault(`0,`1)">
-      <summary>Gets the value for a given key if a matching key exists in the dictionary; otherwise the default value.</summary>
-      <param name="key">The key to search for.</param>
-      <param name="defaultValue">The default value to return if no matching key is found in the dictionary.</param>
-      <returns>The value for the key, or <paramref name="defaultValue">defaultValue</paramref> if no matching key was found.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.GetValueOrDefault(`0)">
-      <summary>Gets the value for a given key if a matching key exists in the dictionary; otherwise the default value.</summary>
-      <param name="key">The key to search for.</param>
-      <returns>The value for the key, or default(TValue) if no matching key was found.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Item(`0)">
-      <summary>Gets or sets the value for a specified key in the immutable sorted dictionary.</summary>
-      <param name="key">The key to retrieve the value for.</param>
-      <returns>The value associated with the given key.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.KeyComparer">
-      <summary>Gets or sets the key comparer.</summary>
-      <returns>The key comparer.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Keys">
-      <summary>Gets a strongly typed, read-only collection of elements.</summary>
-      <returns>A strongly typed, read-only collection of elements.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Remove(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Removes the first occurrence of a specific object from the immutable sorted dictionary.</summary>
-      <param name="item">The object to remove from the dictionary.</param>
-      <returns>true if <paramref name="item">item</paramref> was successfully removed from the dictionary; otherwise, false. This method also returns false if <paramref name="item">item</paramref> is not found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Remove(`0)">
-      <summary>Removes the element with the specified key from the immutable sorted dictionary.</summary>
-      <param name="key">The key of the element to remove.</param>
-      <returns>true if the element is successfully removed; otherwise, false. This method also returns false if <paramref name="key">key</paramref> was not found in the original dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes any entries with keys that match those found in the specified sequence from the immutable sorted dictionary.</summary>
-      <param name="keys">The keys for entries to remove from the dictionary.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.ToImmutable">
-      <summary>Creates an immutable sorted dictionary based on the contents of this instance.</summary>
-      <returns>An immutable sorted dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.TryGetKey(`0,`0@)">
-      <summary>Determines whether this dictionary contains a specified key.</summary>
-      <param name="equalKey">The key to search for.</param>
-      <param name="actualKey">The matching key located in the dictionary if found, or equalkey if no match is found.</param>
-      <returns>true if a match for <paramref name="equalKey">equalKey</paramref> is found; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.TryGetValue(`0,`1@)">
-      <summary>Gets the value associated with the specified key.</summary>
-      <param name="key">The key whose value will be retrieved.</param>
-      <param name="value">When this method returns, contains the value associated with the specified key, if the key is found; otherwise, contains the default value for the type of the value parameter. This parameter is passed uninitialized.</param>
-      <returns>true if the object that implements the dictionary contains an element with the specified key; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.ValueComparer">
-      <summary>Gets or sets the value comparer.</summary>
-      <returns>The value comparer.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.Values">
-      <summary>Gets a collection that contains the values of the immutable sorted dictionary.</summary>
-      <returns>A collection that contains the values of the object that implements the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#CopyTo(System.Collections.Generic.KeyValuePair{`0,`1}[],System.Int32)">
-      <param name="array"></param>
-      <param name="arrayIndex"></param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#IsReadOnly">
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#Generic#IDictionary{TKey@TValue}#Keys">
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#Generic#IDictionary{TKey@TValue}#Values">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#Generic#IEnumerable{System#Collections#Generic#KeyValuePair{TKey@TValue}}#GetEnumerator">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the dictionary to an array, starting at a particular array index.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the dictionary. The array must have zero-based indexing.</param>
-      <param name="index">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#ICollection#IsSynchronized">
-      <summary>Gets a value indicating whether access to the <see cref="T:System.Collections.ICollection"></see> is synchronized (thread safe).</summary>
-      <returns>true if access to the <see cref="System.Collections.ICollection"></see> is synchronized (thread safe); otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#ICollection#SyncRoot">
-      <summary>Gets an object that can be used to synchronize access to the <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns>An object that can be used to synchronize access to the <see cref="System.Collections.ICollection"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#Add(System.Object,System.Object)">
-      <summary>Adds an element with the provided key and value to the dictionary object.</summary>
-      <param name="key">The key of the element to add.</param>
-      <param name="value">The value of the element to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#Contains(System.Object)">
-      <summary>Determines whether the dictionary object contains an element with the specified key.</summary>
-      <param name="key">The key to locate.</param>
-      <returns>true if the dictionary contains an element with the key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#GetEnumerator">
-      <summary>Returns an <see cref="T:System.Collections.IDictionaryEnumerator"></see> object for the dictionary.</summary>
-      <returns>An <see cref="System.Collections.IDictionaryEnumerator"></see> object for the dictionary.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IDictionary"></see> object has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IDictionary"></see> object has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#Item(System.Object)">
-      <summary>Gets or sets the element with the specified key.</summary>
-      <param name="key">The key.</param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#Keys">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the keys of the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the keys of the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#Remove(System.Object)">
-      <summary>Removes the element with the specified key from the dictionary.</summary>
-      <param name="key">The key of the element to remove.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IDictionary#Values">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the values in the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the values in the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Builder.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An enumerator object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator">
-      <summary>Enumerates the contents of a binary tree.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey"></typeparam>
-      <typeparam name="TValue"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.</summary>
-      <returns>The element at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator.Dispose">
-      <summary>Releases the resources used by the current instance of the <see cref="T:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator"></see> class.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator.MoveNext">
-      <summary>Advances the enumerator to the next element of the immutable sorted dictionary.</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the sorted dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator.Reset">
-      <summary>Sets the enumerator to its initial position, which is before the first element in the immutable sorted dictionary.</summary>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Enumerator.System#Collections#IEnumerator#Current">
-      <summary>The current element.</summary>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedDictionary`2">
-      <summary>Represents an immutable sorted dictionary.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="TKey">The type of the key contained in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the value contained in the dictionary.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Add(`0,`1)">
-      <summary>Adds an element with the specified key and value to the immutable sorted dictionary.</summary>
-      <param name="key">The key of the entry to add.</param>
-      <param name="value">The value of entry to add.</param>
-      <returns>A new immutable sorted dictionary that contains the additional key/value pair.</returns>
-      <exception cref="T:System.ArgumentException">The given key already exists in the dictionary but has a different value.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Adds the specific key/value pairs to the immutable sorted dictionary.</summary>
-      <param name="items">The key/value pairs to add.</param>
-      <returns>A new immutable dictionary that contains the additional key/value pairs.</returns>
-      <exception cref="T:System.ArgumentException">One of the given keys already exists in the dictionary but has a different value.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Clear">
-      <summary>Retrieves an empty immutable sorted dictionary that has the same ordering and key/value comparison rules as this dictionary instance.</summary>
-      <returns>An empty dictionary with equivalent ordering and key/value comparison rules.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Contains(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <summary>Determines whether this immutable sorted dictionary contains the specified key/value pair.</summary>
-      <param name="pair">The key/value pair to locate.</param>
-      <returns>true if the specified key/value pair is found in the dictionary; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.ContainsKey(`0)">
-      <summary>Determines whether this immutable sorted map contains the specified key.</summary>
-      <param name="key">The key to locate.</param>
-      <returns>true if the immutable dictionary contains the specified key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.ContainsValue(`1)">
-      <summary>Determines whether the immutable sorted dictionary contains an element with the specified value.</summary>
-      <param name="value">The value to locate. The value can be null for reference types.</param>
-      <returns>true if the dictionary contains an element with the specified value; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Count">
-      <summary>Gets the number of key/value pairs in the immutable sorted dictionary.</summary>
-      <returns>The number of key/value pairs in the dictionary.</returns>
-    </member>
-    <member name="F:System.Collections.Immutable.ImmutableSortedDictionary`2.Empty">
-      <summary>Gets an empty immutable sorted dictionary.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable sorted dictionary.</summary>
-      <returns>An enumerator that can be used to iterate through the dictionary.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.IsEmpty">
-      <summary>Gets a value that indicates whether this instance of the immutable sorted dictionary is empty.</summary>
-      <returns>true if this instance is empty; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Item(`0)">
-      <summary>Gets the <paramref name="TValue">TValue</paramref> associated with the specified key.</summary>
-      <param name="key">The key to retrieve the value for.</param>
-      <returns>The value associated with the specified key. If no results are found, the operation throws an exception.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.KeyComparer">
-      <summary>Gets the key comparer for the immutable sorted dictionary.</summary>
-      <returns>The key comparer for the dictionary.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Keys">
-      <summary>Gets the keys in the immutable sorted dictionary.</summary>
-      <returns>The keys in the immutable dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.Remove(`0)">
-      <summary>Removes the element with the specified value from the immutable sorted dictionary.</summary>
-      <param name="value">The value of the element to remove.</param>
-      <returns>A new immutable dictionary with the specified element removed; or this instance if the specified value cannot be found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements with the specified keys from the immutable sorted dictionary.</summary>
-      <param name="keys">The keys of the elements to remove.</param>
-      <returns>A new immutable dictionary with the specified keys removed; or this instance if the specified keys cannot be found in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.SetItem(`0,`1)">
-      <summary>Sets the specified key and value in the immutable sorted dictionary, possibly overwriting an existing value for the given key.</summary>
-      <param name="key">The key of the entry to add.</param>
-      <param name="value">The key value to set.</param>
-      <returns>A new immutable sorted dictionary that contains the specified key/value pair.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.SetItems(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <summary>Sets the specified key/value pairs in the immutable sorted dictionary, possibly overwriting existing values for the keys.</summary>
-      <param name="items">The key/value pairs to set in the dictionary. If any of the keys already exist in the dictionary, this method will overwrite their previous values.</param>
-      <returns>An immutable dictionary that contains the specified key/value pairs.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.ToBuilder">
-      <summary>Creates an immutable sorted dictionary with the same contents as this dictionary that can be efficiently mutated across multiple operations by using standard mutable interfaces.</summary>
-      <returns>A collection with the same contents as this dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.TryGetKey(`0,`0@)">
-      <summary>Determines whether this dictionary contains a specified key.</summary>
-      <param name="equalKey">The key to search for.</param>
-      <param name="actualKey">The matching key located in the dictionary if found, or equalkey if no match is found.</param>
-      <returns>true if a match for <paramref name="equalKey">equalKey</paramref> is found; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.TryGetValue(`0,`1@)">
-      <summary>Gets the value associated with the specified key.</summary>
-      <param name="key">The key whose value will be retrieved.</param>
-      <param name="value">When this method returns, contains the value associated with the specified key, if the key is found; otherwise, contains the default value for the type of the value parameter.</param>
-      <returns>true if the dictionary contains an element with the specified key; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.ValueComparer">
-      <summary>Gets the value comparer used to determine whether values are equal.</summary>
-      <returns>The value comparer used to determine whether values are equal.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.Values">
-      <summary>Gets the values in the immutable sorted dictionary.</summary>
-      <returns>The values in the dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.WithComparers(System.Collections.Generic.IComparer{`0})">
-      <summary>Gets an instance of the immutable sorted dictionary that uses the specified key comparer.</summary>
-      <param name="keyComparer">The key comparer to use.</param>
-      <returns>An instance of the immutable dictionary that uses the given comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.WithComparers(System.Collections.Generic.IComparer{`0},System.Collections.Generic.IEqualityComparer{`1})">
-      <summary>Gets an instance of the immutable sorted dictionary that uses the specified key and value comparers.</summary>
-      <param name="keyComparer">The key comparer to use.</param>
-      <param name="valueComparer">The value comparer to use.</param>
-      <returns>An instance of the immutable dictionary that uses the given comparers.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#Add(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <param name="item"></param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#Clear">
-      
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#CopyTo(System.Collections.Generic.KeyValuePair{`0,`1}[],System.Int32)">
-      <param name="array"></param>
-      <param name="arrayIndex"></param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#IsReadOnly">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#ICollection{System#Collections#Generic#KeyValuePair{TKey@TValue}}#Remove(System.Collections.Generic.KeyValuePair{`0,`1})">
-      <param name="item"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Add(`0,`1)">
-      <param name="key"></param>
-      <param name="value"></param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Item(`0)">
-      <param name="key"></param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Keys">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Remove(`0)">
-      <param name="key"></param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#IDictionary{TKey@TValue}#Values">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Generic#IEnumerable{System#Collections#Generic#KeyValuePair{TKey@TValue}}#GetEnumerator">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the dictionary to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the dictionary. The array must have zero-based indexing.</param>
-      <param name="index">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#ICollection#IsSynchronized">
-      <summary>Gets a value indicating whether access to the <see cref="T:System.Collections.ICollection"></see> is synchronized (thread safe).</summary>
-      <returns>true if access to the <see cref="System.Collections.ICollection"></see> is synchronized (thread safe); otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#ICollection#SyncRoot">
-      <summary>Gets an object that can be used to synchronize access to the <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns>An object that can be used to synchronize access to the <see cref="System.Collections.ICollection"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Add(System.Object,System.Object)">
-      <summary>Adds an element with the provided key and value to the dictionary object.</summary>
-      <param name="key">The object to use as the key of the element to add.</param>
-      <param name="value">The object to use as the value of the element to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Clear">
-      <summary>Clears this instance.</summary>
-      <exception cref="T:System.NotSupportedException">The dictionary object is read-only.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Contains(System.Object)">
-      <summary>Determines whether the immutable dictionary object contains an element with the specified key.</summary>
-      <param name="key">The key to locate in the dictionary object.</param>
-      <returns>true if the dictionary contains an element with the key; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#GetEnumerator">
-      <summary>Returns an <see cref="T:System.Collections.IDictionaryEnumerator"></see> object for the immutable dictionary object.</summary>
-      <returns>An enumerator object for the dictionary object.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IDictionary"></see> object has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IDictionary"></see> object has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Item(System.Object)">
-      <summary>Gets or sets the element with the specified key.</summary>
-      <param name="key">The key.</param>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Keys">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the keys of the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the keys of the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Remove(System.Object)">
-      <summary>Removes the element with the specified key from the immutable dictionary object.</summary>
-      <param name="key">The key of the element to remove.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IDictionary#Values">
-      <summary>Gets an <see cref="T:System.Collections.Generic.ICollection`1"></see> containing the values in the <see cref="T:System.Collections.Generic.IDictionary`2"></see>.</summary>
-      <returns>An <see cref="System.Collections.Generic.ICollection`1"></see> containing the values in the object that implements <see cref="System.Collections.Generic.IDictionary`2"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An enumerator object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#Add(`0,`1)">
-      <param name="key"></param>
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#AddRange(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <param name="pairs"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#Clear">
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#Remove(`0)">
-      <param name="key"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#RemoveRange(System.Collections.Generic.IEnumerable{`0})">
-      <param name="keys"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#SetItem(`0,`1)">
-      <param name="key"></param>
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary`2.System#Collections#Immutable#IImmutableDictionary{TKey@TValue}#SetItems(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{`0,`1}})">
-      <param name="items"></param>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedDictionary">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableSortedDictionary`2"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.Create``2">
-      <summary>Creates an empty immutable sorted dictionary.</summary>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>An empty immutable sorted dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.Create``2(System.Collections.Generic.IComparer{``0})">
-      <summary>Creates an empty immutable sorted dictionary that uses the specified key comparer.</summary>
-      <param name="keyComparer">The implementation to use to determine the equality of keys in the dictionary.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>An empty immutable sorted dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.Create``2(System.Collections.Generic.IComparer{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Creates an empty immutable sorted dictionary that uses the specified key and value comparers.</summary>
-      <param name="keyComparer">The implementation to use to determine the equality of keys in the dictionary.</param>
-      <param name="valueComparer">The implementation to use to determine the equality of values in the dictonary.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>An empty immutable sorted dictionary.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.CreateBuilder``2">
-      <summary>Creates a new immutable sorted dictionary builder.</summary>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>The immutable collection builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.CreateBuilder``2(System.Collections.Generic.IComparer{``0})">
-      <summary>Creates a new immutable sorted dictionary builder.</summary>
-      <param name="keyComparer">The key comparer.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>The immutable collection builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.CreateBuilder``2(System.Collections.Generic.IComparer{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Creates a new immutable sorted dictionary builder.</summary>
-      <param name="keyComparer">The key comparer.</param>
-      <param name="valueComparer">The value comparer.</param>
-      <typeparam name="TKey">The type of keys stored by the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored by the dictionary.</typeparam>
-      <returns>The immutable collection builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.CreateRange``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Creates an immutable sorted dictionary that contains the specified items and uses the default comparer.</summary>
-      <param name="items">The items to add to the sorted dictionary before it’s immutable.</param>
-      <typeparam name="TKey">The type of keys stored in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored in the dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.CreateRange``2(System.Collections.Generic.IComparer{``0},System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Creates a new immutable sorted dictionary from the specified range of items with the specified key comparer.</summary>
-      <param name="keyComparer">The comparer implementation to use to evaluate keys for equality and sorting.</param>
-      <param name="items">The items to add to the sorted dictionary.</param>
-      <typeparam name="TKey">The type of keys stored in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored in the dictionary.</typeparam>
-      <returns>The new immutable sorted dictionary that contains the specified items and uses the specified key comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.CreateRange``2(System.Collections.Generic.IComparer{``0},System.Collections.Generic.IEqualityComparer{``1},System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Creates a new immutable sorted dictionary from the specified range of items with the specified key and value comparers.</summary>
-      <param name="keyComparer">The comparer implementation to use to compare keys for equality and sorting.</param>
-      <param name="valueComparer">The comparer implementation to use to compare values for equality and sorting.</param>
-      <param name="items">The items to add to the sorted dictionary before it’s immutable.</param>
-      <typeparam name="TKey">The type of keys stored in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of values stored in the dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the specified items and uses the specified comparers.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.ToImmutableSortedDictionary``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}})">
-      <summary>Enumerates a sequence of key/value pairs and produces an immutable sorted dictionary of its contents.</summary>
-      <param name="source">The sequence of key/value pairs to enumerate.</param>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the key/value pairs in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.ToImmutableSortedDictionary``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.Collections.Generic.IComparer{``0})">
-      <summary>Enumerates a sequence of key/value pairs and produces an immutable dictionary of its contents by using the specified key comparer.</summary>
-      <param name="source">The sequence of key/value pairs to enumerate.</param>
-      <param name="keyComparer">The key comparer to use when building the immutable dictionary.</param>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the key/value pairs in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.ToImmutableSortedDictionary``2(System.Collections.Generic.IEnumerable{System.Collections.Generic.KeyValuePair{``0,``1}},System.Collections.Generic.IComparer{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Enumerates a sequence of key/value pairs and produces an immutable sorted dictionary of its contents by using the specified key and value comparers.</summary>
-      <param name="source">The sequence of key/value pairs to enumerate.</param>
-      <param name="keyComparer">The key comparer to use when building the immutable dictionary.</param>
-      <param name="valueComparer">The value comparer to use for the immutable dictionary.</param>
-      <typeparam name="TKey">The type of the keys in the dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the key/value pairs in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.ToImmutableSortedDictionary``3(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Func{``0,``2})">
-      <summary>Enumerates and transforms a sequence, and produces an immutable sorted dictionary of its contents.</summary>
-      <param name="source">The sequence to enumerate to generate the dictionary.</param>
-      <param name="keySelector">The function that will produce the key for the dictionary from each sequence element.</param>
-      <param name="elementSelector">The function that will produce the value for the dictionary from each sequence element.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <typeparam name="TKey">The type of the keys in the resulting dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the resulting dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.ToImmutableSortedDictionary``3(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Func{``0,``2},System.Collections.Generic.IComparer{``1})">
-      <summary>Enumerates and transforms a sequence, and produces an immutable sorted dictionary of its contents by using the specified key comparer.</summary>
-      <param name="source">The sequence to enumerate to generate the dictionary.</param>
-      <param name="keySelector">The function that will produce the key for the dictionary from each sequence element.</param>
-      <param name="elementSelector">The function that will produce the value for the dictionary from each sequence element.</param>
-      <param name="keyComparer">The key comparer to use for the dictionary.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <typeparam name="TKey">The type of the keys in the resulting dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the resulting dictionary.</typeparam>
-      <returns>An immutable dictionary that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedDictionary.ToImmutableSortedDictionary``3(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1},System.Func{``0,``2},System.Collections.Generic.IComparer{``1},System.Collections.Generic.IEqualityComparer{``2})">
-      <summary>Enumerates and transforms a sequence, and produces an immutable sorted dictionary of its contents by using the specified key and value comparers.</summary>
-      <param name="source">The sequence to enumerate to generate the dictionary.</param>
-      <param name="keySelector">The function that will produce the key for the dictionary from each sequence element.</param>
-      <param name="elementSelector">The function that will produce the value for the dictionary from each sequence element.</param>
-      <param name="keyComparer">The key comparer to use for the dictionary.</param>
-      <param name="valueComparer">The value comparer to use for the dictionary.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <typeparam name="TKey">The type of the keys in the resulting dictionary.</typeparam>
-      <typeparam name="TValue">The type of the values in the resulting dictionary.</typeparam>
-      <returns>An immutable sorted dictionary that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedSet`1.Builder">
-      <summary>Represents a sorted set that enables changes with little or no memory allocations, and efficiently manipulates or builds immutable sorted sets.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Add(`0)">
-      <summary>Adds an element to the current set and returns a value to indicate whether the element was successfully added.</summary>
-      <param name="item">The element to add to the set.</param>
-      <returns>true if the element is added to the set; false if the element is already in the set</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Clear">
-      <summary>Removes all elements from this set.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Contains(`0)">
-      <summary>Determines whether the set contains the specified object.</summary>
-      <param name="item">The object to locate in the set.</param>
-      <returns>true if <paramref name="item">item</paramref> is found in the set; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Count">
-      <summary>Gets the number of elements in the immutable sorted set.</summary>
-      <returns>The number of elements in this set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.ExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the specified set of items from the current set.</summary>
-      <param name="other">The collection of items to remove from the set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the set.</summary>
-      <returns>A enumerator that can be used to iterate through the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.IntersectWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are also in a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.IsProperSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a proper (strict) subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper subset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.IsProperSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a proper (strict) superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper superset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.IsSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a subset of a specified collection.</summary>
-      <param name="other">The collection is compare to the current set.</param>
-      <returns>true if the current set is a subset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.IsSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set is a superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a superset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Item(System.Int32)">
-      <summary>Gets the element of the set at the given index.</summary>
-      <param name="index">The 0-based index of the element in the set to return.</param>
-      <returns>The element at the given position.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.KeyComparer">
-      <summary>Gets or sets the object that is used to determine equality for the values in the immutable sorted set.</summary>
-      <returns>The comparer that is used to determine equality for the values in the set.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Max">
-      <summary>Gets the maximum value in the immutable sorted set, as defined by the comparer.</summary>
-      <returns>The maximum value in the set.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Min">
-      <summary>Gets the minimum value in the immutable sorted set, as defined by the comparer.</summary>
-      <returns>The minimum value in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Overlaps(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set overlaps with the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set and <paramref name="other">other</paramref> share at least one common element; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Remove(`0)">
-      <summary>Removes the first occurrence of the specified object from the set.</summary>
-      <param name="item">The object to remove from the set.</param>
-      <returns>true if <paramref name="item">item</paramref> was removed from the set; false if <paramref name="item">item</paramref> was not found in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.Reverse">
-      <summary>Returns an enumerator that iterates over the immutable sorted set in reverse order.</summary>
-      <returns>An enumerator that iterates over the set in reverse order.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.SetEquals(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current set and the specified collection contain the same elements.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is equal to <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.SymmetricExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.ToImmutable">
-      <summary>Creates an immutable sorted set based on the contents of this instance.</summary>
-      <returns>An immutable set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.UnionWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains all elements that are present in both the current set and in the specified collection.</summary>
-      <param name="other">The collection to compare to the current state.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#Generic#ICollection{T}#Add(`0)">
-      <summary>Adds an element to the current set and returns a value to indicate whether the element was successfully added.</summary>
-      <param name="item">The element to add to the set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#Generic#ICollection{T}#CopyTo(`0[],System.Int32)">
-      <summary>Copies the elements of the collection to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from collection. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>Gets a value indicating whether this instance is read-only.</summary>
-      <returns>Always false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>A enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the set to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the set. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#ICollection#IsSynchronized">
-      <summary>Gets a value indicating whether access to the <see cref="T:System.Collections.ICollection"></see> is synchronized (thread safe).</summary>
-      <returns>true if access to the <see cref="System.Collections.ICollection"></see> is synchronized (thread safe); otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#ICollection#SyncRoot">
-      <summary>Gets an object that can be used to synchronize access to the <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns>An object that can be used to synchronize access to the <see cref="System.Collections.ICollection"></see>.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Builder.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>A enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator">
-      <summary>Enumerates the contents of a binary tree.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <returns>The element at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator.Dispose">
-      <summary>Releases the resources used by the current instance of the <see cref="T:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator.MoveNext">
-      <summary>Advances the enumerator to the next element of the immutable sorted set.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the sorted set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator.Reset">
-      <summary>Sets the enumerator to its initial position, which is before the first element in the immutable sorted set.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Enumerator.System#Collections#IEnumerator#Current">
-      <summary>The current element.</summary>
-      <returns></returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedSet`1">
-      <summary>Represents an immutable sorted set implementation.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of elements in the set.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Add(`0)">
-      <summary>Adds the specified value to this immutable sorted set.</summary>
-      <param name="value">The value to add.</param>
-      <returns>A new set with the element added, or this set if the element is already in this set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Clear">
-      <summary>Removes all elements from the immutable sorted set.</summary>
-      <returns>An empty set with the elements removed.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Contains(`0)">
-      <summary>Determines whether this immutable sorted set contains the specified value.</summary>
-      <param name="value">The value to check for.</param>
-      <returns>true if the set contains the specified value; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Count">
-      <summary>Gets the number of elements in the immutable sorted set.</summary>
-      <returns>The number of elements in the immutable sorted set.</returns>
-    </member>
-    <member name="F:System.Collections.Immutable.ImmutableSortedSet`1.Empty">
-      <summary>Gets an empty immutable sorted set.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Except(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes a specified set of items from this immutable sorted set.</summary>
-      <param name="other">The items to remove from this set.</param>
-      <returns>A new set with the items removed; or the original set if none of the items were in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable sorted set.</summary>
-      <returns>An enumerator that can be used to iterate through the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.IndexOf(`0)">
-      <summary>Gets the position within this immutable sorted set that the specified value appears in.</summary>
-      <param name="item">The value whose position is being sought.</param>
-      <returns>The index of the specified <paramref name="item">item</paramref> in the sorted set, if <paramref name="item">item</paramref> is found. If <paramref name="item">item</paramref> is not found and is less than one or more elements in this set, this method returns a negative number that is the bitwise complement of the index of the first element that is larger than value. If <paramref name="item">item</paramref> is not found and is greater than any of the elements in the set, this method returns a negative number that is the bitwise complement of the index of the last element plus 1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Intersect(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable sorted set that contains elements that exist both in this set and in the specified set.</summary>
-      <param name="other">The set to intersect with this one.</param>
-      <returns>A new immutable sorted set that contains any elements that exist in both sets.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.IsEmpty">
-      <summary>Gets a value that indicates whether this immutable sorted set is empty.</summary>
-      <returns>true if this set is empty; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.IsProperSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable sorted set is a proper (strict) subset of the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper subset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.IsProperSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable sorted set is a proper superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a proper superset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.IsSubsetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable sorted set is a subset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a subset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.IsSupersetOf(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable sorted set is a superset of a specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set is a superset of <paramref name="other">other</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Item(System.Int32)">
-      <summary>Gets the element of the immutable sorted set at the given index.</summary>
-      <param name="index">The index of the element to retrieve from the sorted set.</param>
-      <returns>The element at the given index.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.KeyComparer">
-      <summary>Gets the comparer used to sort keys in the immutable sorted set.</summary>
-      <returns>The comparer used to sort keys.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Max">
-      <summary>Gets the maximum value in the immutable sorted set, as defined by the comparer.</summary>
-      <returns>The maximum value in the set.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.Min">
-      <summary>Gets the minimum value in the immutable sorted set, as defined by the comparer.</summary>
-      <returns>The minimum value in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Overlaps(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable sorted set and a specified collection share common elements.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the current set and <paramref name="other">other</paramref> share at least one common element; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Remove(`0)">
-      <summary>Removes the specified value from this immutable sorted set.</summary>
-      <param name="value">The element to remove.</param>
-      <returns>A new immutable sorted set with the element removed, or this set if the element was not found in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Reverse">
-      <summary>Returns an <see cref="T:System.Collections.Generic.IEnumerable`1"></see> that iterates over this immutable sorted set in reverse order.</summary>
-      <returns>An enumerator that iterates over the immutable sorted set in reverse order.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.SetEquals(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Determines whether the current immutable sorted set and the specified collection contain the same elements.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>true if the sets are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.SymmetricExcept(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable sorted set that contains elements that exist either in this set or in a given sequence, but not both.</summary>
-      <param name="other">The other sequence of items.</param>
-      <returns>The new immutable sorted set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.ToBuilder">
-      <summary>Creates a collection that has the same contents as this immutable sorted set that can be efficiently manipulated by using standard mutable interfaces.</summary>
-      <returns>The sorted set builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.TryGetValue(`0,`0@)">
-      <summary>Searches the set for a given value and returns the equal value it finds, if any.</summary>
-      <param name="equalValue">The value to search for.</param>
-      <param name="actualValue">The value from the set that the search found, or the original value if the search yielded no match.</param>
-      <returns>A value indicating whether the search was successful.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.Union(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Adds a given set of items to this immutable sorted set.</summary>
-      <param name="other">The items to add.</param>
-      <returns>The new set with the items added; or the original set if all the items were already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.WithComparer(System.Collections.Generic.IComparer{`0})">
-      <summary>Returns the immutable sorted set that has the specified key comparer.</summary>
-      <param name="comparer">The comparer to check for.</param>
-      <returns>The immutable sorted set that has the specified key comparer.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ICollection{T}#Add(`0)">
-      <summary>Adds the specified value to the collection.</summary>
-      <param name="item">The value to add.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ICollection{T}#Clear">
-      <summary>Removes all the items from the collection.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ICollection{T}#CopyTo(`0[],System.Int32)">
-      <summary>Copies the elements of the collection to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from collection. The array must have zero-based indexing.</param>
-      <param name="arrayIndex">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ICollection{T}#IsReadOnly">
-      <summary>See the <see cref="T:System.Collections.Generic.ICollection`1"></see> interface.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ICollection{T}#Remove(`0)">
-      <summary>Removes the first occurrence of a specific object from the collection.</summary>
-      <param name="item">The object to remove from the collection.</param>
-      <returns>true if <paramref name="item">item</paramref> was successfully removed from the collection; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#IList{T}#Insert(System.Int32,`0)">
-      <summary>Inserts an item in the set at the specified index..</summary>
-      <param name="index">The zero-based index at which item should be inserted.</param>
-      <param name="item">The object to insert into the set.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#IList{T}#Item(System.Int32)">
-      <summary>See the <see cref="T:System.Collections.Generic.IList`1"></see> interface.</summary>
-      <param name="index"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#IList{T}#RemoveAt(System.Int32)">
-      <summary>Removes the  item at the specified index.</summary>
-      <param name="index">The zero-based index of the item to remove.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ISet{T}#Add(`0)">
-      <summary>Adds an element to the current set and returns a value to indicate if the element was successfully added.</summary>
-      <param name="item">The element to add to the set.</param>
-      <returns>true if the element is added to the set; false if the element is already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ISet{T}#ExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes all elements in the specified collection from the current set.</summary>
-      <param name="other">The collection of items to remove from the set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ISet{T}#IntersectWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are also in a specified collection</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ISet{T}#SymmetricExceptWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Generic#ISet{T}#UnionWith(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Modifies the current set so that it contains all elements that are present in either the current set or the specified collection.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#ICollection#CopyTo(System.Array,System.Int32)">
-      <summary>Copies the elements of the set to an array, starting at a particular array index.</summary>
-      <param name="array">The one-dimensional array that is the destination of the elements copied from the set. The array must have zero-based indexing.</param>
-      <param name="index">The zero-based index in array at which copying begins.</param>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#ICollection#IsSynchronized">
-      <summary>See the <see cref="T:System.Collections.ICollection"></see> interface.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#ICollection#SyncRoot">
-      <summary>See <see cref="T:System.Collections.ICollection"></see>.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An enumerator object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#Add(System.Object)">
-      <summary>Adds an item to the set.</summary>
-      <param name="value">The object to add to the set.</param>
-      <returns>The position into which the new element was inserted, or -1 to indicate that the item was not inserted into the collection.</returns>
-      <exception cref="T:System.NotSupportedException">The set is read-only or has a fixed size.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#Clear">
-      <summary>Removes all items from the set.</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#Contains(System.Object)">
-      <summary>Determines whether the set contains a specific value.</summary>
-      <param name="value">The object to locate in the set.</param>
-      <returns>true if the object is found in the set; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#IndexOf(System.Object)">
-      <summary>Determines the index of a specific item in the set.</summary>
-      <param name="value">The object to locate in the set.</param>
-      <returns>The index of <paramref name="value">value</paramref> if found in the list; otherwise, -1.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#Insert(System.Int32,System.Object)">
-      <summary>Inserts an item into the set at the specified index.</summary>
-      <param name="index">The zero-based index at which value should be inserted.</param>
-      <param name="value">The object to insert into the set.</param>
-      <exception cref="T:System.NotSupportedException">The set is read-only or has a fixed size.</exception>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#IsFixedSize">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.IList"></see> has a fixed size.</summary>
-      <returns>true if the <see cref="System.Collections.IList"></see> has a fixed size; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#IsReadOnly">
-      <summary>Gets a value indicating whether the <see cref="T:System.Collections.Generic.ICollection`1"></see> is read-only.</summary>
-      <returns>true if the <see cref="System.Collections.Generic.ICollection`1"></see> is read-only; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#Item(System.Int32)">
-      <summary>Gets or sets the <see cref="T:System.Object"></see> at the specified index.</summary>
-      <param name="index">The index.</param>
-      <returns>The <see cref="System.Object"></see>.</returns>
-      <exception cref="T:System.NotSupportedException"></exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#Remove(System.Object)">
-      <summary>Removes the first occurrence of a specific object from the set.</summary>
-      <param name="value">The object to remove from the set.</param>
-      <exception cref="T:System.NotSupportedException">The set is read-only or has a fixed size.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#IList#RemoveAt(System.Int32)">
-      <summary>Removes the item at the specified index of the set.</summary>
-      <param name="index">The zero-based index of the item to remove.</param>
-      <exception cref="T:System.NotSupportedException">The set is read-only or has a fixed size.</exception>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#Add(`0)">
-      <summary>Adds the specified element to this immutable set.</summary>
-      <param name="value">The element to add.</param>
-      <returns>A new set with the element added, or this set if the element is already in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#Clear">
-      <summary>Retrieves an empty immutable set that has the same sorting and ordering semantics as this instance.</summary>
-      <returns>An empty set that has the same sorting and ordering semantics as this instance.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#Except(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Removes the elements in the specified collection from the current immutable set.</summary>
-      <param name="other">The items to remove from this set.</param>
-      <returns>The new set with the items removed; or the original set if none of the items were in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#Intersect(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable set that contains elements that exist in both this set and the specified set.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new immutable set that contains any elements that exist in both sets.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#Remove(`0)">
-      <summary>Removes the specified element from this immutable set.</summary>
-      <param name="value">The element to remove.</param>
-      <returns>A new set with the specified element removed, or the current set if the element cannot be found in the set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#SymmetricExcept(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates an immutable set that contains only elements that are present either in the current set or in the specified collection, but not both.</summary>
-      <param name="other">The collection to compare to the current set.</param>
-      <returns>A new set that contains the elements that are present only in the current set or in the specified collection, but not both.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet`1.System#Collections#Immutable#IImmutableSet{T}#Union(System.Collections.Generic.IEnumerable{`0})">
-      <summary>Creates a new immutable set that contains all elements that are present in either the current set or in the specified collection.</summary>
-      <param name="other">The collection to add elements from.</param>
-      <returns>A new immutable set with the items added; or the original set if all the items were already in the set.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableSortedSet">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableSortedSet`1"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.Create``1">
-      <summary>Creates an empty immutable sorted set.</summary>
-      <typeparam name="T">The type of items to be stored in the immutable set.</typeparam>
-      <returns>An empty immutable sorted set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.Create``1(System.Collections.Generic.IComparer{``0})">
-      <summary>Creates an empty immutable sorted set that uses the specified comparer.</summary>
-      <param name="comparer">The implementation to use when comparing items in the set.</param>
-      <typeparam name="T">The type of items in the immutable set.</typeparam>
-      <returns>An empty immutable set.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.Create``1(``0)">
-      <summary>Creates a new immutable sorted set that contains the specified item.</summary>
-      <param name="item">The item to prepopulate the set with.</param>
-      <typeparam name="T">The type of items in the immutable set.</typeparam>
-      <returns>A new immutable set that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.Create``1(``0[])">
-      <summary>Creates a new immutable sorted set that contains the specified array of items.</summary>
-      <param name="items">An array that contains the items to prepopulate the set with.</param>
-      <typeparam name="T">The type of items in the immutable set.</typeparam>
-      <returns>A new immutable set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.Create``1(System.Collections.Generic.IComparer{``0},``0)">
-      <summary>Creates a new immutable sorted set that contains the specified item and uses the specified comparer.</summary>
-      <param name="comparer">The implementation to use when comparing items in the set.</param>
-      <param name="item">The item to prepopulate the set with.</param>
-      <typeparam name="T">The type of items stored in the immutable set.</typeparam>
-      <returns>A new immutable set that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.Create``1(System.Collections.Generic.IComparer{``0},``0[])">
-      <summary>Creates a new immutable sorted set that contains the specified array of items and uses the specified comparer.</summary>
-      <param name="comparer">The implementation to use when comparing items in the set.</param>
-      <param name="items">An array that contains the items to prepopulate the set with.</param>
-      <typeparam name="T">The type of items in the immutable set.</typeparam>
-      <returns>A new immutable set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.CreateBuilder``1">
-      <summary>Returns a collection that can be used to build an immutable sorted set.</summary>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The immutable collection builder.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.CreateBuilder``1(System.Collections.Generic.IComparer{``0})">
-      <summary>Returns a collection that can be used to build an immutable sorted set.</summary>
-      <param name="comparer">The comparer used to compare items in the set for equality.</param>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The immutable collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.CreateRange``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable collection that contains the specified items.</summary>
-      <param name="items">The items to add to the set with before it’s immutable.</param>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The new immutable set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.CreateRange``1(System.Collections.Generic.IComparer{``0},System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable collection that contains the specified items.</summary>
-      <param name="comparer">The comparer to use to compare elements in this set.</param>
-      <param name="items">The items to add to the set before it’s immutable.</param>
-      <typeparam name="T">The type of items stored by the collection.</typeparam>
-      <returns>The new immutable set that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.ToImmutableSortedSet``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Enumerates a sequence and produces an immutable sorted set of its contents.</summary>
-      <param name="source">The sequence to enumerate.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <returns>An immutable sorted set that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableSortedSet.ToImmutableSortedSet``1(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IComparer{``0})">
-      <summary>Enumerates a sequence, produces an immutable sorted set of its contents, and uses the specified comparer.</summary>
-      <param name="source">The sequence to enumerate.</param>
-      <param name="comparer">The comparer to use for initializing and adding members to the sorted set.</param>
-      <typeparam name="TSource">The type of the elements in the sequence.</typeparam>
-      <returns>An immutable sorted set that contains the items in the specified sequence.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableStack`1.Enumerator">
-      <summary>Enumerates the contents of an immutable stack without allocating any memory.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T"></typeparam>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableStack`1.Enumerator.Current">
-      <summary>Gets the element at the current position of the enumerator.</summary>
-      <returns>The element at the current position of the enumerator.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.Enumerator.MoveNext">
-      <summary>Advances the enumerator to the next element of the immutable stack.</summary>
-      <returns>true if the enumerator was successfully advanced to the next element; false if the enumerator has passed the end of the stack.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableStack`1">
-      <summary>Represents an immutable stack.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-      <typeparam name="T">The type of element on the stack.</typeparam>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.Clear">
-      <summary>Removes all objects from the immutable stack.</summary>
-      <returns>An empty immutable stack.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableStack`1.Empty">
-      <summary>Gets an empty immutable stack.</summary>
-      <returns>An empty immutable stack.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.GetEnumerator">
-      <summary>Returns an enumerator that iterates through the immutable stack.</summary>
-      <returns>An enumerator that can be used to iterate through the stack.</returns>
-    </member>
-    <member name="P:System.Collections.Immutable.ImmutableStack`1.IsEmpty">
-      <summary>Gets a value that indicates whether this instance of the immutable stack is empty.</summary>
-      <returns>true if this instance is empty; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.Peek">
-      <summary>Returns the object at the top of the stack without removing it.</summary>
-      <returns>The object at the top of the stack.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.Pop">
-      <summary>Removes the element at the top of the immutable stack and returns the stack after the removal.</summary>
-      <returns>A stack; never null.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.Pop(`0@)">
-      <summary>Removes the specified element from the immutable stack and returns the stack after the removal.</summary>
-      <param name="value">The value to remove from the stack.</param>
-      <returns>A stack; never null.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.Push(`0)">
-      <summary>Inserts an object at the top of the immutable stack and returns the new stack.</summary>
-      <param name="value">The object to push onto the stack.</param>
-      <returns>The new stack.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.System#Collections#Generic#IEnumerable{T}#GetEnumerator">
-      <summary>Returns an enumerator that iterates through the collection.</summary>
-      <returns>An enumerator  that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.System#Collections#IEnumerable#GetEnumerator">
-      <summary>Returns an enumerator that iterates through a collection.</summary>
-      <returns>An <see cref="System.Collections.IEnumerator"></see> object that can be used to iterate through the collection.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.System#Collections#Immutable#IImmutableStack{T}#Clear">
-      <summary>Removes all elements from the immutable stack.</summary>
-      <returns>The empty immutable stack.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.System#Collections#Immutable#IImmutableStack{T}#Pop">
-      <summary>Removes the element at the top of the immutable stack and returns the new stack.</summary>
-      <returns>The new stack; never null.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack`1.System#Collections#Immutable#IImmutableStack{T}#Push(`0)">
-      <summary>Inserts an element at the top of the immutable stack and returns the new stack.</summary>
-      <param name="value">The element to push onto the stack.</param>
-      <returns>The new stack.</returns>
-    </member>
-    <member name="T:System.Collections.Immutable.ImmutableStack">
-      <summary>Provides a set of initialization methods for instances of the <see cref="T:System.Collections.Immutable.ImmutableStack`1"></see> class.  
- NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack.Create``1">
-      <summary>Creates an empty immutable stack.</summary>
-      <typeparam name="T">The type of items to be stored in the immutable stack.</typeparam>
-      <returns>An empty immutable stack.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack.Create``1(``0)">
-      <summary>Creates a new immutable stack that contains the specified item.</summary>
-      <param name="item">The item to prepopulate the stack with.</param>
-      <typeparam name="T">The type of items in the immutable stack.</typeparam>
-      <returns>A new immutable collection that contains the specified item.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack.Create``1(``0[])">
-      <summary>Creates a new immutable stack that contains the specified array of items.</summary>
-      <param name="items">An array that contains the items to prepopulate the stack with.</param>
-      <typeparam name="T">The type of items in the immutable stack.</typeparam>
-      <returns>A new immutable stack that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack.CreateRange``1(System.Collections.Generic.IEnumerable{``0})">
-      <summary>Creates a new immutable stack that contains the specified items.</summary>
-      <param name="items">The items to add to the stack before it’s immutable.</param>
-      <typeparam name="T">The type of items in the stack.</typeparam>
-      <returns>An immutable stack that contains the specified items.</returns>
-    </member>
-    <member name="M:System.Collections.Immutable.ImmutableStack.Pop``1(System.Collections.Immutable.IImmutableStack{``0},``0@)">
-      <summary>Removes the specified item from an immutable stack.</summary>
-      <param name="stack">The stack to modify.</param>
-      <param name="value">The item to remove from the stack.</param>
-      <typeparam name="T">The type of items contained in the stack.</typeparam>
-      <returns>A stack; never null.</returns>
-    </member>
-    <member name="T:System.Linq.ImmutableArrayExtensions">
-      <summary>LINQ extension method overrides that offer greater efficiency for <see cref="T:System.Collections.Immutable.ImmutableArray`1"></see> than the standard LINQ methods  
-NuGet package: System.Collections.Immutable (about immutable collections and how to install)</summary>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Aggregate``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,``0,``0})">
-      <summary>Applies a function to a sequence of elements in a cumulative way.</summary>
-      <param name="immutableArray">The collection to apply the function to.</param>
-      <param name="func">A function to be invoked on each element, in a cumulative way.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The final value after the cumulative function has been applied to all elements.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Aggregate``2(System.Collections.Immutable.ImmutableArray{``1},``0,System.Func{``0,``1,``0})">
-      <summary>Applies a function to a sequence of elements in a cumulative way.</summary>
-      <param name="immutableArray">The collection to apply the function to.</param>
-      <param name="seed">The initial accumulator value.</param>
-      <param name="func">A function to be invoked on each element, in a cumulative way.</param>
-      <typeparam name="TAccumulate">The type of the accumulated value.</typeparam>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The final accumulator value.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Aggregate``3(System.Collections.Immutable.ImmutableArray{``2},``0,System.Func{``0,``2,``0},System.Func{``0,``1})">
-      <summary>Applies a function to a sequence of elements in a cumulative way.</summary>
-      <param name="immutableArray">The collection to apply the function to.</param>
-      <param name="seed">The initial accumulator value.</param>
-      <param name="func">A function to be invoked on each element, in a cumulative way.</param>
-      <param name="resultSelector"></param>
-      <typeparam name="TAccumulate">The type of the accumulated value.</typeparam>
-      <typeparam name="TResult">The type of result returned by the result selector.</typeparam>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The final accumulator value.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.All``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Gets a value indicating whether all elements in this array match a given condition.</summary>
-      <param name="immutableArray">The array to check for matches.</param>
-      <param name="predicate">The predicate.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>true if every element of the source sequence passes the test in the specified predicate; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Any``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Gets a value indicating whether the array contains any elements.</summary>
-      <param name="immutableArray">The array to check for elements.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>true if the array contains an elements; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Any``1(System.Collections.Immutable.ImmutableArray{``0}.Builder)">
-      <summary>Returns a value indicating whether this collection contains any elements.</summary>
-      <param name="builder">The builder to check for matches.</param>
-      <typeparam name="T">The type of elements in the array.</typeparam>
-      <returns>true if the array builder contains any elements; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Any``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Gets a value indicating whether the array contains any elements that match a specified condition.</summary>
-      <param name="immutableArray">The array to check for elements.</param>
-      <param name="predicate">The delegate that defines the condition to match to an element.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>true if an element matches the specified condition; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ElementAt``1(System.Collections.Immutable.ImmutableArray{``0},System.Int32)">
-      <summary>Returns the element at a specified index in the array.</summary>
-      <param name="immutableArray">The array to find an element in.</param>
-      <param name="index">The index for the element to retrieve.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The item at the specified index.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ElementAtOrDefault``1(System.Collections.Immutable.ImmutableArray{``0},System.Int32)">
-      <summary>Returns the element at a specified index in a sequence or a default value if the index is out of range.</summary>
-      <param name="immutableArray">The array to find an element in.</param>
-      <param name="index">The index for the element to retrieve.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The item at the specified index, or the default value if the index is not found.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.First``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Returns the first element in an array.</summary>
-      <param name="immutableArray">The array to get an item from.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The first item in the array.</returns>
-      <exception cref="T:System.InvalidOperationException">If the array is empty.</exception>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.First``1(System.Collections.Immutable.ImmutableArray{``0}.Builder)">
-      <summary>Returns the first element in the collection.</summary>
-      <param name="builder">The builder to retrieve an item from.</param>
-      <typeparam name="T">The type of items in the array.</typeparam>
-      <returns>The first item in the list.</returns>
-      <exception cref="T:System.InvalidOperationException">If the array is empty.</exception>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.First``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Returns the first element in a sequence that satisfies a specified condition.</summary>
-      <param name="immutableArray">The array to get an item from.</param>
-      <param name="predicate">The delegate that defines the conditions of the element to search for.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The first item in the list if it meets the condition specified by <paramref name="predicate">predicate</paramref>.</returns>
-      <exception cref="T:System.InvalidOperationException">If the array is empty.</exception>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.FirstOrDefault``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Returns the first element of a sequence, or a default value if the sequence contains no elements.</summary>
-      <param name="immutableArray">The array to retrieve items from.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The first item in the list, if found; otherwise the default value for the item type.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.FirstOrDefault``1(System.Collections.Immutable.ImmutableArray{``0}.Builder)">
-      <summary>Returns the first element in the collection, or the default value if the collection is empty.</summary>
-      <param name="builder">The builder to retrieve an element from.</param>
-      <typeparam name="T">The type of item in the builder.</typeparam>
-      <returns>The first item in the list, if found; otherwise the default value for the item type.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.FirstOrDefault``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Returns the first element of the sequence that satisfies a condition or a default value if no such element is found.</summary>
-      <param name="immutableArray">The array to retrieve elments from.</param>
-      <param name="predicate">The delegate that defines the conditions of the element to search for.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The first item in the list, if found; otherwise the default value for the item type.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Last``1(System.Collections.Immutable.ImmutableArray{``0}.Builder)">
-      <summary>Returns the last element in the collection.</summary>
-      <param name="builder">The builder to retrieve elements from.</param>
-      <typeparam name="T">The type of item in the builder.</typeparam>
-      <returns>The last element in the builder.</returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the collection is empty.</exception>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Last``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Returns the last element of a sequence that satisfies a specified condition.</summary>
-      <param name="immutableArray">The array to retrieve elements from.</param>
-      <param name="predicate">The delegate that defines the conditions of the element to retrieve.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The last element of the array that satisfies the <paramref name="predicate">predicate</paramref> condition.</returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the collection is empty.</exception>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Last``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Returns the last element of the array.</summary>
-      <param name="immutableArray">The array to retrieve items from.</param>
-      <typeparam name="T">The type of element contained by the array.</typeparam>
-      <returns>The last element in the array.</returns>
-      <exception cref="T:System.InvalidOperationException">Thrown if the collection is empty.</exception>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.LastOrDefault``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Returns the last element of a sequence, or a default value if the sequence contains no elements.</summary>
-      <param name="immutableArray">The array to retrieve items from.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The last element of a sequence, or a default value if the sequence contains no elements.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.LastOrDefault``1(System.Collections.Immutable.ImmutableArray{``0}.Builder)">
-      <summary>Returns the last element in the collection, or the default value if the collection is empty.</summary>
-      <param name="builder">The builder to retrieve an element from.</param>
-      <typeparam name="T">The type of item in the builder.</typeparam>
-      <returns>The last element of a sequence, or a default value if the sequence contains no elements.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.LastOrDefault``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Returns the last element of a sequence that satisfies a condition or a default value if no such element is found.</summary>
-      <param name="immutableArray">The array to retrieve an element from.</param>
-      <param name="predicate">The delegate that defines the conditions of the element to search for.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The last element of a sequence, or a default value if the sequence contains no elements.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Select``2(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,``1})">
-      <summary>Projects each element of a sequence into a new form.</summary>
-      <param name="immutableArray">The immutable array to select items from.</param>
-      <param name="selector">A transform function to apply to each element.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <typeparam name="TResult">The type of the result element.</typeparam>
-      <returns>An <see cref="System.Collections.Generic.IEnumerable`1"></see> whose elements are the result of invoking the transform function on each element of source.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.SelectMany``3(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Collections.Generic.IEnumerable{``1}},System.Func{``0,``1,``2})">
-      <summary>Projects each element of a sequence to an <see cref="T:System.Collections.Generic.IEnumerable`1"></see>,             flattens the resulting sequences into one sequence, and invokes a result             selector function on each element therein.</summary>
-      <param name="immutableArray">The immutable array.</param>
-      <param name="collectionSelector">A transform function to apply to each element of the input sequence.</param>
-      <param name="resultSelector">A transform function to apply to each element of the intermediate sequence.</param>
-      <typeparam name="TSource">The type of the elements of immutableArray.</typeparam>
-      <typeparam name="TCollection">The type of the intermediate elements collected by collectionSelector.</typeparam>
-      <typeparam name="TResult">The type of the elements of the resulting sequence.</typeparam>
-      <returns>An <see cref="System.Collections.Generic.IEnumerable`1"></see> whose elements are the result             of invoking the one-to-many transform function <paramref name="collectionSelector">collectionSelector</paramref> on each             element of <paramref name="immutableArray">immutableArray</paramref> and then mapping each of those sequence elements and their             corresponding source element to a result element.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.SequenceEqual``2(System.Collections.Immutable.ImmutableArray{``1},System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Determines whether two sequences are equal according to an equality comparer.</summary>
-      <param name="immutableArray">The array to use for comparison.</param>
-      <param name="items">The items to use for comparison.</param>
-      <param name="comparer">The comparer to use to check for equality.</param>
-      <typeparam name="TDerived">The type of element in the compared array.</typeparam>
-      <typeparam name="TBase">The type of element contained by the collection.</typeparam>
-      <returns>true to indicate the sequences are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.SequenceEqual``2(System.Collections.Immutable.ImmutableArray{``1},System.Collections.Immutable.ImmutableArray{``0},System.Collections.Generic.IEqualityComparer{``1})">
-      <summary>Determines whether two sequences are equal according to an equality comparer.</summary>
-      <param name="immutableArray">The array to use for comparison.</param>
-      <param name="items">The items to use for comparison.</param>
-      <param name="comparer">The comparer to use to check for equality.</param>
-      <typeparam name="TDerived">The type of element in the compared array.</typeparam>
-      <typeparam name="TBase">The type of element contained by the collection.</typeparam>
-      <returns>true to indicate the sequences are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.SequenceEqual``2(System.Collections.Immutable.ImmutableArray{``1},System.Collections.Immutable.ImmutableArray{``0},System.Func{``1,``1,System.Boolean})">
-      <summary>Determines whether two sequences are equal according to an equality comparer.</summary>
-      <param name="immutableArray">The array to use for comparison.</param>
-      <param name="items">The items to use for comparison.</param>
-      <param name="predicate">The comparer to use to check for equality.</param>
-      <typeparam name="TDerived">The type of element in the compared array.</typeparam>
-      <typeparam name="TBase">The type of element contained by the collection.</typeparam>
-      <returns>true to indicate the sequences are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Single``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Returns the only element of a sequence, and throws an exception if there is not exactly one element in the sequence.</summary>
-      <param name="immutableArray">The array to retrieve the element from.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The element in the sequence.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.Single``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Returns the only element of a sequence that satisfies a specified condition, and throws an exception if more than one such element exists.</summary>
-      <param name="immutableArray"></param>
-      <param name="predicate"></param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>Returns <see cref="System.Boolean"></see>.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.SingleOrDefault``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Returns the only element of the array, or a default value if the sequence is empty; this method throws an exception if there is more than one element in the sequence.</summary>
-      <param name="immutableArray"></param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The element in the array, or the default value if the array is empty.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.SingleOrDefault``1(System.Collections.Immutable.ImmutableArray{``0},System.Func{``0,System.Boolean})">
-      <summary>Returns the only element of a sequence that satisfies a specified condition or a default value if no such element exists; this method throws an exception if more than one element satisfies the condition.</summary>
-      <param name="immutableArray">The array to get the element from.</param>
-      <param name="predicate">The condition the element must satisfy.</param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The element if it satisfies the specified condition; otherwise the default element.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ToArray``1(System.Collections.Immutable.ImmutableArray{``0})">
-      <summary>Copies the contents of this array to a mutable array.</summary>
-      <param name="immutableArray"></param>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The newly instantiated array.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ToDictionary``2(System.Collections.Immutable.ImmutableArray{``1},System.Func{``1,``0})">
-      <summary>Creates a dictionary based on the contents of this array.</summary>
-      <param name="immutableArray">The array to create a dictionary from.</param>
-      <param name="keySelector">The key selector.</param>
-      <typeparam name="TKey">The type of the key.</typeparam>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The newly initialized dictionary.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ToDictionary``2(System.Collections.Immutable.ImmutableArray{``1},System.Func{``1,``0},System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Creates a dictionary based on the contents of this array.</summary>
-      <param name="immutableArray">The array to create a dictionary from.</param>
-      <param name="keySelector">The key selector.</param>
-      <param name="comparer">The comparer to initialize the dictionary with.</param>
-      <typeparam name="TKey">The type of the key.</typeparam>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The newly initialized dictionary.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ToDictionary``3(System.Collections.Immutable.ImmutableArray{``2},System.Func{``2,``0},System.Func{``2,``1},System.Collections.Generic.IEqualityComparer{``0})">
-      <summary>Creates a dictionary based on the contents of this array.</summary>
-      <param name="immutableArray">The array to create a dictionary from.</param>
-      <param name="keySelector">The key selector.</param>
-      <param name="elementSelector">The element selector.</param>
-      <param name="comparer">The comparer to initialize the dictionary with.</param>
-      <typeparam name="TKey">The type of the key.</typeparam>
-      <typeparam name="TElement">The type of the element.</typeparam>
-      <typeparam name="T">The type of element contained by the collection.</typeparam>
-      <returns>The newly initialized dictionary.</returns>
-    </member>
-    <member name="M:System.Linq.ImmutableArrayExtensions.ToDictionary``3(System.Collections.Immutable.ImmutableArray{``2},System.Func{``2,``0},System.Func{``2,``1})">
-      <summary>Creates a dictionary based on the contents of this array.</summary>
-      <param name="immutableArray">The array to create a dictionary from.</param>
-      <param name="keySelector">The key selector.</param>
-      <param name="elementSelector">The element selector.</param>
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Binary files a/W/Debug_Folder/System.Numerics.Vectors.dll and /dev/null differ
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deleted file mode 100644
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-      <returns>true if <paramref name="matrix">matrix</paramref> was converted successfully; otherwise,  false.</returns>
-    </member>
-    <member name="P:System.Numerics.Matrix3x2.IsIdentity">
-      <summary>Indicates whether the current matrix is the identity matrix.</summary>
-      <returns>true if the current matrix is the identity matrix; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.Lerp(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2,System.Single)">
-      <summary>Performs a linear interpolation from one matrix to a second matrix based on a value that specifies the weighting of the second matrix.</summary>
-      <param name="matrix1">The first matrix.</param>
-      <param name="matrix2">The second matrix.</param>
-      <param name="amount">The relative weighting of matrix2.</param>
-      <returns>The interpolated matrix.</returns>
-    </member>
-    <member name="F:System.Numerics.Matrix3x2.M11">
-      <summary>The first element of the first row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix3x2.M12">
-      <summary>The second element of the first row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix3x2.M21">
-      <summary>The first element of the second row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix3x2.M22">
-      <summary>The second element of the second row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix3x2.M31">
-      <summary>The first element of the third row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix3x2.M32">
-      <summary>The second element of the third row.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.Multiply(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Returns the matrix that results from multiplying two matrices together.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The product matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.Multiply(System.Numerics.Matrix3x2,System.Single)">
-      <summary>Returns the matrix that results from scaling all the elements of a specified matrix by a scalar factor.</summary>
-      <param name="value1">The matrix to scale.</param>
-      <param name="value2">The scaling value to use.</param>
-      <returns>The scaled matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.Negate(System.Numerics.Matrix3x2)">
-      <summary>Negates the specified matrix by multiplying all its values by -1.</summary>
-      <param name="value">The matrix to negate.</param>
-      <returns>The negated matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_Addition(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Adds each element in one matrix with its corresponding element in a second matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix that contains the summed values.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_Equality(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Returns a value that indicates whether the specified matrices are equal.</summary>
-      <param name="value1">The first matrix to compare.</param>
-      <param name="value2">The second matrix to compare.</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_Inequality(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Returns a value that indicates whether the specified matrices are not equal.</summary>
-      <param name="value1">The first matrix to compare.</param>
-      <param name="value2">The second matrix to compare.</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_Multiply(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Returns the matrix that results from multiplying two matrices together.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The product matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_Multiply(System.Numerics.Matrix3x2,System.Single)">
-      <summary>Returns the matrix that results from scaling all the elements of a specified matrix by a scalar factor.</summary>
-      <param name="value1">The matrix to scale.</param>
-      <param name="value2">The scaling value to use.</param>
-      <returns>The scaled matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_Subtraction(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Subtracts each element in a second matrix from its corresponding element in a first matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix containing the values that result from subtracting each element in <paramref name="value2">value2</paramref> from its corresponding element in <paramref name="value1">value1</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.op_UnaryNegation(System.Numerics.Matrix3x2)">
-      <summary>Negates the specified matrix by multiplying all its values by -1.</summary>
-      <param name="value">The matrix to negate.</param>
-      <returns>The negated matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.Subtract(System.Numerics.Matrix3x2,System.Numerics.Matrix3x2)">
-      <summary>Subtracts each element in a second matrix from its corresponding element in a first matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix containing the values that result from subtracting each element in <paramref name="value2">value2</paramref> from its corresponding element in <paramref name="value1">value1</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix3x2.ToString">
-      <summary>Returns a string that represents this matrix.</summary>
-      <returns>The string representation of this matrix.</returns>
-    </member>
-    <member name="P:System.Numerics.Matrix3x2.Translation">
-      <summary>Gets or sets the translation component of this matrix.</summary>
-      <returns>The translation component of the current instance.</returns>
-    </member>
-    <member name="T:System.Numerics.Matrix4x4">
-      <summary>Represents a 4x4 matrix.</summary>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.#ctor(System.Numerics.Matrix3x2)">
-      <summary>Creates a <see cref="T:System.Numerics.Matrix4x4"></see> object from a specified <see cref="T:System.Numerics.Matrix3x2"></see> object.</summary>
-      <param name="value">A 3x2 matrix.</param>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.#ctor(System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a 4x4 matrix from the specified components.</summary>
-      <param name="m11">The value to assign to the first element in the first row.</param>
-      <param name="m12">The value to assign to the second element in the first row.</param>
-      <param name="m13">The value to assign to the third element in the first row.</param>
-      <param name="m14">The value to assign to the fourth element in the first row.</param>
-      <param name="m21">The value to assign to the first element in the second row.</param>
-      <param name="m22">The value to assign to the second element in the second row.</param>
-      <param name="m23">The value to assign to the third element in the second row.</param>
-      <param name="m24">The value to assign to the third element in the second row.</param>
-      <param name="m31">The value to assign to the first element in the third row.</param>
-      <param name="m32">The value to assign to the second element in the third row.</param>
-      <param name="m33">The value to assign to the third element in the third row.</param>
-      <param name="m34">The value to assign to the fourth element in the third row.</param>
-      <param name="m41">The value to assign to the first element in the fourth row.</param>
-      <param name="m42">The value to assign to the second element in the fourth row.</param>
-      <param name="m43">The value to assign to the third element in the fourth row.</param>
-      <param name="m44">The value to assign to the fourth element in the fourth row.</param>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Add(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Adds each element in one matrix with its corresponding element in a second matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix that contains the summed values of <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateBillboard(System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Creates a spherical billboard that rotates around a specified object position.</summary>
-      <param name="objectPosition">The position of the object that the billboard will rotate around.</param>
-      <param name="cameraPosition">The position of the camera.</param>
-      <param name="cameraUpVector">The up vector of the camera.</param>
-      <param name="cameraForwardVector">The forward vector of the camera.</param>
-      <returns>The created billboard.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateConstrainedBillboard(System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Creates a cylindrical billboard that rotates around a specified axis.</summary>
-      <param name="objectPosition">The position of the object that the billboard will rotate around.</param>
-      <param name="cameraPosition">The position of the camera.</param>
-      <param name="rotateAxis">The axis to rotate the billboard around.</param>
-      <param name="cameraForwardVector">The forward vector of the camera.</param>
-      <param name="objectForwardVector">The forward vector of the object.</param>
-      <returns>The billboard matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateFromAxisAngle(System.Numerics.Vector3,System.Single)">
-      <summary>Creates a matrix that rotates around an arbitrary vector.</summary>
-      <param name="axis">The axis to rotate around.</param>
-      <param name="angle">The angle to rotate around axis, in radians.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateFromQuaternion(System.Numerics.Quaternion)">
-      <summary>Creates a rotation matrix from the specified Quaternion rotation value.</summary>
-      <param name="quaternion">The source Quaternion.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateFromYawPitchRoll(System.Single,System.Single,System.Single)">
-      <summary>Creates a rotation matrix from the specified yaw, pitch, and roll.</summary>
-      <param name="yaw">The angle of rotation, in radians, around the Y axis.</param>
-      <param name="pitch">The angle of rotation, in radians, around the X axis.</param>
-      <param name="roll">The angle of rotation, in radians, around the Z axis.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateLookAt(System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Creates a view matrix.</summary>
-      <param name="cameraPosition">The position of the camera.</param>
-      <param name="cameraTarget">The target towards which the camera is pointing.</param>
-      <param name="cameraUpVector">The direction that is &quot;up&quot; from the camera's point of view.</param>
-      <returns>The view matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateOrthographic(System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates an orthographic perspective matrix from the given view volume dimensions.</summary>
-      <param name="width">The width of the view volume.</param>
-      <param name="height">The height of the view volume.</param>
-      <param name="zNearPlane">The minimum Z-value of the view volume.</param>
-      <param name="zFarPlane">The maximum Z-value of the view volume.</param>
-      <returns>The orthographic projection matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateOrthographicOffCenter(System.Single,System.Single,System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a customized orthographic projection matrix.</summary>
-      <param name="left">The minimum X-value of the view volume.</param>
-      <param name="right">The maximum X-value of the view volume.</param>
-      <param name="bottom">The minimum Y-value of the view volume.</param>
-      <param name="top">The maximum Y-value of the view volume.</param>
-      <param name="zNearPlane">The minimum Z-value of the view volume.</param>
-      <param name="zFarPlane">The maximum Z-value of the view volume.</param>
-      <returns>The orthographic projection matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreatePerspective(System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a perspective projection matrix from the given view volume dimensions.</summary>
-      <param name="width">The width of the view volume at the near view plane.</param>
-      <param name="height">The height of the view volume at the near view plane.</param>
-      <param name="nearPlaneDistance">The distance to the near view plane.</param>
-      <param name="farPlaneDistance">The distance to the far view plane.</param>
-      <returns>The perspective projection matrix.</returns>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="nearPlaneDistance">nearPlaneDistance</paramref> is less than or equal to zero.   -or-  <paramref name="farPlaneDistance">farPlaneDistance</paramref> is less than or equal to zero.   -or-  <paramref name="nearPlaneDistance">nearPlaneDistance</paramref> is greater than or equal to <paramref name="farPlaneDistance">farPlaneDistance</paramref>.</exception>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreatePerspectiveFieldOfView(System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a perspective projection matrix based on a field of view, aspect ratio, and near and far view plane distances.</summary>
-      <param name="fieldOfView">The field of view in the y direction, in radians.</param>
-      <param name="aspectRatio">The aspect ratio, defined as view space width divided by height.</param>
-      <param name="nearPlaneDistance">The distance to the near view plane.</param>
-      <param name="farPlaneDistance">The distance to the far view plane.</param>
-      <returns>The perspective projection matrix.</returns>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="fieldOfView">fieldOfView</paramref> is less than or equal to zero.   -or-  <paramref name="fieldOfView">fieldOfView</paramref> is greater than or equal to <see cref="F:System.Math.PI"></see>.  <paramref name="nearPlaneDistance">nearPlaneDistance</paramref> is less than or equal to zero.   -or-  <paramref name="farPlaneDistance">farPlaneDistance</paramref> is less than or equal to zero.   -or-  <paramref name="nearPlaneDistance">nearPlaneDistance</paramref> is greater than or equal to <paramref name="farPlaneDistance">farPlaneDistance</paramref>.</exception>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreatePerspectiveOffCenter(System.Single,System.Single,System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a customized perspective projection matrix.</summary>
-      <param name="left">The minimum x-value of the view volume at the near view plane.</param>
-      <param name="right">The maximum x-value of the view volume at the near view plane.</param>
-      <param name="bottom">The minimum y-value of the view volume at the near view plane.</param>
-      <param name="top">The maximum y-value of the view volume at the near view plane.</param>
-      <param name="nearPlaneDistance">The distance to the near view plane.</param>
-      <param name="farPlaneDistance">The distance to the far view plane.</param>
-      <returns>The perspective projection matrix.</returns>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="nearPlaneDistance">nearPlaneDistance</paramref> is less than or equal to zero.   -or-  <paramref name="farPlaneDistance">farPlaneDistance</paramref> is less than or equal to zero.   -or-  <paramref name="nearPlaneDistance">nearPlaneDistance</paramref> is greater than or equal to <paramref name="farPlaneDistance">farPlaneDistance</paramref>.</exception>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateReflection(System.Numerics.Plane)">
-      <summary>Creates a matrix that reflects the coordinate system about a specified plane.</summary>
-      <param name="value">The plane about which to create a reflection.</param>
-      <returns>A new matrix expressing the reflection.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateRotationX(System.Single)">
-      <summary>Creates a matrix for rotating points around the X axis.</summary>
-      <param name="radians">The amount, in radians, by which to rotate around the X axis.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateRotationX(System.Single,System.Numerics.Vector3)">
-      <summary>Creates a matrix for rotating points around the X axis from a center point.</summary>
-      <param name="radians">The amount, in radians, by which to rotate around the X axis.</param>
-      <param name="centerPoint">The center point.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateRotationY(System.Single,System.Numerics.Vector3)">
-      <summary>The amount, in radians, by which to rotate around the Y axis from a center point.</summary>
-      <param name="radians">The amount, in radians, by which to rotate around the Y-axis.</param>
-      <param name="centerPoint">The center point.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateRotationY(System.Single)">
-      <summary>Creates a matrix for rotating points around the Y axis.</summary>
-      <param name="radians">The amount, in radians, by which to rotate around the Y-axis.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateRotationZ(System.Single)">
-      <summary>Creates a matrix for rotating points around the Z axis.</summary>
-      <param name="radians">The amount, in radians, by which to rotate around the Z-axis.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateRotationZ(System.Single,System.Numerics.Vector3)">
-      <summary>Creates a matrix for rotating points around the Z axis from a center point.</summary>
-      <param name="radians">The amount, in radians, by which to rotate around the Z-axis.</param>
-      <param name="centerPoint">The center point.</param>
-      <returns>The rotation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateScale(System.Numerics.Vector3)">
-      <summary>Creates a scaling matrix from the specified vector scale.</summary>
-      <param name="scales">The scale to use.</param>
-      <returns>The scaling matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateScale(System.Single)">
-      <summary>Creates a uniform scaling matrix that scale equally on each axis.</summary>
-      <param name="scale">The uniform scaling factor.</param>
-      <returns>The scaling matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateScale(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Creates a scaling matrix with a center point.</summary>
-      <param name="scales">The vector that contains the amount to scale on each axis.</param>
-      <param name="centerPoint">The center point.</param>
-      <returns>The scaling matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateScale(System.Single,System.Numerics.Vector3)">
-      <summary>Creates a uniform scaling matrix that scales equally on each axis with a center point.</summary>
-      <param name="scale">The uniform scaling factor.</param>
-      <param name="centerPoint">The center point.</param>
-      <returns>The scaling matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateScale(System.Single,System.Single,System.Single)">
-      <summary>Creates a scaling matrix from the specified X, Y, and Z components.</summary>
-      <param name="xScale">The value to scale by on the X axis.</param>
-      <param name="yScale">The value to scale by on the Y axis.</param>
-      <param name="zScale">The value to scale by on the Z axis.</param>
-      <returns>The scaling matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateScale(System.Single,System.Single,System.Single,System.Numerics.Vector3)">
-      <summary>Creates a scaling matrix that is offset by a given center point.</summary>
-      <param name="xScale">The value to scale by on the X axis.</param>
-      <param name="yScale">The value to scale by on the Y axis.</param>
-      <param name="zScale">The value to scale by on the Z axis.</param>
-      <param name="centerPoint">The center point.</param>
-      <returns>The scaling matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateShadow(System.Numerics.Vector3,System.Numerics.Plane)">
-      <summary>Creates a matrix that flattens geometry into a specified plane as if casting a shadow from a specified light source.</summary>
-      <param name="lightDirection">The direction from which the light that will cast the shadow is coming.</param>
-      <param name="plane">The plane onto which the new matrix should flatten geometry so as to cast a shadow.</param>
-      <returns>A new matrix that can be used to flatten geometry onto the specified plane from the specified direction.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateTranslation(System.Numerics.Vector3)">
-      <summary>Creates a translation matrix from the specified 3-dimensional vector.</summary>
-      <param name="position">The amount to translate in each axis.</param>
-      <returns>The translation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateTranslation(System.Single,System.Single,System.Single)">
-      <summary>Creates a translation matrix from the specified X, Y, and Z components.</summary>
-      <param name="xPosition">The amount to translate on the X axis.</param>
-      <param name="yPosition">The amount to translate on the Y axis.</param>
-      <param name="zPosition">The amount to translate on the Z axis.</param>
-      <returns>The translation matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.CreateWorld(System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Creates a world matrix with the specified parameters.</summary>
-      <param name="position">The position of the object.</param>
-      <param name="forward">The forward direction of the object.</param>
-      <param name="up">The upward direction of the object. Its value is usually [0, 1, 0].</param>
-      <returns>The world matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Decompose(System.Numerics.Matrix4x4,System.Numerics.Vector3@,System.Numerics.Quaternion@,System.Numerics.Vector3@)">
-      <summary>Attempts to extract the scale, translation, and rotation components from the given scale, rotation, or translation matrix. The return value indicates whether the operation succeeded.</summary>
-      <param name="matrix">The source matrix.</param>
-      <param name="scale">When this method returns, contains the scaling component of the transformation matrix if the operation succeeded.</param>
-      <param name="rotation">When this method returns, contains the rotation component of the transformation matrix if the operation succeeded.</param>
-      <param name="translation">When the method returns, contains the translation component of the transformation matrix if the operation succeeded.</param>
-      <returns>true if <paramref name="matrix">matrix</paramref> was decomposed successfully; otherwise,  false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Equals(System.Numerics.Matrix4x4)">
-      <summary>Returns a value that indicates whether this instance and another 4x4 matrix are equal.</summary>
-      <param name="other">The other matrix.</param>
-      <returns>true if the two matrices are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance and a specified object are equal.</summary>
-      <param name="obj">The object to compare with the current instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false```. If &lt;code data-dev-comment-type=&quot;paramref&quot;&gt;obj&lt;/code&gt; isnull, the method returnsfalse`.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.GetDeterminant">
-      <summary>Calculates the determinant of the current 4x4 matrix.</summary>
-      <returns>The determinant.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="P:System.Numerics.Matrix4x4.Identity">
-      <summary>Gets the multiplicative identity matrix.</summary>
-      <returns>Gets the multiplicative identity matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Invert(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4@)">
-      <summary>Inverts the specified matrix. The return value indicates whether the operation succeeded.</summary>
-      <param name="matrix">The matrix to invert.</param>
-      <param name="result">When this method returns, contains the inverted matrix if the operation succeeded.</param>
-      <returns>true if <paramref name="matrix">matrix</paramref> was converted successfully; otherwise,  false.</returns>
-    </member>
-    <member name="P:System.Numerics.Matrix4x4.IsIdentity">
-      <summary>Indicates whether the current matrix is the identity matrix.</summary>
-      <returns>true if the current matrix is the identity matrix; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Lerp(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4,System.Single)">
-      <summary>Performs a linear interpolation from one matrix to a second matrix based on a value that specifies the weighting of the second matrix.</summary>
-      <param name="matrix1">The first matrix.</param>
-      <param name="matrix2">The second matrix.</param>
-      <param name="amount">The relative weighting of matrix2.</param>
-      <returns>The interpolated matrix.</returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M11">
-      <summary>The first element of the first row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M12">
-      <summary>The second element of the first row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M13">
-      <summary>The third element of the first row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M14">
-      <summary>The fourth element of the first row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M21">
-      <summary>The first element of the second row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M22">
-      <summary>The second element of the second row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M23">
-      <summary>The third element of the second row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M24">
-      <summary>The fourth element of the second row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M31">
-      <summary>The first element of the third row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M32">
-      <summary>The second element of the third row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M33">
-      <summary>The third element of the third row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M34">
-      <summary>The fourth element of the third row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M41">
-      <summary>The first element of the fourth row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M42">
-      <summary>The second element of the fourth row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M43">
-      <summary>The third element of the fourth row.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Matrix4x4.M44">
-      <summary>The fourth element of the fourth row.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Multiply(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Returns the matrix that results from multiplying two matrices together.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The product matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Multiply(System.Numerics.Matrix4x4,System.Single)">
-      <summary>Returns the matrix that results from scaling all the elements of a specified matrix by a scalar factor.</summary>
-      <param name="value1">The matrix to scale.</param>
-      <param name="value2">The scaling value to use.</param>
-      <returns>The scaled matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Negate(System.Numerics.Matrix4x4)">
-      <summary>Negates the specified matrix by multiplying all its values by -1.</summary>
-      <param name="value">The matrix to negate.</param>
-      <returns>The negated matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_Addition(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Adds each element in one matrix with its corresponding element in a second matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix that contains the summed values.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_Equality(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Returns a value that indicates whether the specified matrices are equal.</summary>
-      <param name="value1">The first matrix to compare.</param>
-      <param name="value2">The second matrix to care</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_Inequality(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Returns a value that indicates whether the specified matrices are not equal.</summary>
-      <param name="value1">The first matrix to compare.</param>
-      <param name="value2">The second matrix to compare.</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_Multiply(System.Numerics.Matrix4x4,System.Single)">
-      <summary>Returns the matrix that results from scaling all the elements of a specified matrix by a scalar factor.</summary>
-      <param name="value1">The matrix to scale.</param>
-      <param name="value2">The scaling value to use.</param>
-      <returns>The scaled matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_Multiply(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Returns the matrix that results from multiplying two matrices together.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The product matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_Subtraction(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Subtracts each element in a second matrix from its corresponding element in a first matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix containing the values that result from subtracting each element in <paramref name="value2">value2</paramref> from its corresponding element in <paramref name="value1">value1</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.op_UnaryNegation(System.Numerics.Matrix4x4)">
-      <summary>Negates the specified matrix by multiplying all its values by -1.</summary>
-      <param name="value">The matrix to negate.</param>
-      <returns>The negated matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Subtract(System.Numerics.Matrix4x4,System.Numerics.Matrix4x4)">
-      <summary>Subtracts each element in a second matrix from its corresponding element in a first matrix.</summary>
-      <param name="value1">The first matrix.</param>
-      <param name="value2">The second matrix.</param>
-      <returns>The matrix containing the values that result from subtracting each element in <paramref name="value2">value2</paramref> from its corresponding element in <paramref name="value1">value1</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.ToString">
-      <summary>Returns a string that represents this matrix.</summary>
-      <returns>The string representation of this matrix.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Transform(System.Numerics.Matrix4x4,System.Numerics.Quaternion)">
-      <summary>Transforms the specified matrix by applying the specified Quaternion rotation.</summary>
-      <param name="value">The matrix to transform.</param>
-      <param name="rotation">The rotation t apply.</param>
-      <returns>The transformed matrix.</returns>
-    </member>
-    <member name="P:System.Numerics.Matrix4x4.Translation">
-      <summary>Gets or sets the translation component of this matrix.</summary>
-      <returns>The translation component of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Matrix4x4.Transpose(System.Numerics.Matrix4x4)">
-      <summary>Transposes the rows and columns of a matrix.</summary>
-      <param name="matrix">The matrix to transpose.</param>
-      <returns>The transposed matrix.</returns>
-    </member>
-    <member name="T:System.Numerics.Plane">
-      <summary>Represents a three-dimensional plane.</summary>
-    </member>
-    <member name="M:System.Numerics.Plane.#ctor(System.Numerics.Vector4)">
-      <summary>Creates a <see cref="T:System.Numerics.Plane"></see> object from a specified four-dimensional vector.</summary>
-      <param name="value">A vector whose first three elements describe the normal vector, and whose <see cref="F:System.Numerics.Vector4.W"></see> defines the distance along that normal from the origin.</param>
-    </member>
-    <member name="M:System.Numerics.Plane.#ctor(System.Numerics.Vector3,System.Single)">
-      <summary>Creates a <see cref="T:System.Numerics.Plane"></see> object from a specified normal and the distance along the normal from the origin.</summary>
-      <param name="normal">The plane's normal vector.</param>
-      <param name="d">The plane's distance from the origin along its normal vector.</param>
-    </member>
-    <member name="M:System.Numerics.Plane.#ctor(System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a <see cref="T:System.Numerics.Plane"></see> object from the X, Y, and Z components of its normal, and its distance from the origin on that normal.</summary>
-      <param name="x">The X component of the normal.</param>
-      <param name="y">The Y component of the normal.</param>
-      <param name="z">The Z component of the normal.</param>
-      <param name="d">The distance of the plane along its normal from the origin.</param>
-    </member>
-    <member name="M:System.Numerics.Plane.CreateFromVertices(System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Creates a <see cref="T:System.Numerics.Plane"></see> object that contains three specified points.</summary>
-      <param name="point1">The first point defining the plane.</param>
-      <param name="point2">The second point defining the plane.</param>
-      <param name="point3">The third point defining the plane.</param>
-      <returns>The plane containing the three points.</returns>
-    </member>
-    <member name="F:System.Numerics.Plane.D">
-      <summary>The distance of the plane along its normal from the origin.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Plane.Dot(System.Numerics.Plane,System.Numerics.Vector4)">
-      <summary>Calculates the dot product of a plane and a 4-dimensional vector.</summary>
-      <param name="plane">The plane.</param>
-      <param name="value">The four-dimensional vector.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.DotCoordinate(System.Numerics.Plane,System.Numerics.Vector3)">
-      <summary>Returns the dot product of a specified three-dimensional vector and the normal vector of this plane plus the distance (<see cref="F:System.Numerics.Plane.D"></see>) value of the plane.</summary>
-      <param name="plane">The plane.</param>
-      <param name="value">The 3-dimensional vector.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.DotNormal(System.Numerics.Plane,System.Numerics.Vector3)">
-      <summary>Returns the dot product of a specified three-dimensional vector and the <see cref="F:System.Numerics.Plane.Normal"></see> vector of this plane.</summary>
-      <param name="plane">The plane.</param>
-      <param name="value">The three-dimensional vector.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance and a specified object are equal.</summary>
-      <param name="obj">The object to compare with the current instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false```. If &lt;code data-dev-comment-type=&quot;paramref&quot;&gt;obj&lt;/code&gt; isnull, the method returnsfalse`.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.Equals(System.Numerics.Plane)">
-      <summary>Returns a value that indicates whether this instance and another plane object are equal.</summary>
-      <param name="other">The other plane.</param>
-      <returns>true if the two planes are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="F:System.Numerics.Plane.Normal">
-      <summary>The normal vector of the plane.</summary>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Plane.Normalize(System.Numerics.Plane)">
-      <summary>Creates a new <see cref="T:System.Numerics.Plane"></see> object whose normal vector is the source plane's normal vector normalized.</summary>
-      <param name="value">The source plane.</param>
-      <returns>The normalized plane.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.op_Equality(System.Numerics.Plane,System.Numerics.Plane)">
-      <summary>Returns a value that indicates whether two planes are equal.</summary>
-      <param name="value1">The first plane to compare.</param>
-      <param name="value2">The second plane to compare.</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.op_Inequality(System.Numerics.Plane,System.Numerics.Plane)">
-      <summary>Returns a value that indicates whether two planes are not equal.</summary>
-      <param name="value1">The first plane to compare.</param>
-      <param name="value2">The second plane to compare.</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.ToString">
-      <summary>Returns the string representation of this plane object.</summary>
-      <returns>A string that represents this <see cref="T:System.Numerics.Plane"></see> object.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.Transform(System.Numerics.Plane,System.Numerics.Matrix4x4)">
-      <summary>Transforms a normalized plane by a 4x4 matrix.</summary>
-      <param name="plane">The normalized plane to transform.</param>
-      <param name="matrix">The transformation matrix to apply to plane.</param>
-      <returns>The transformed plane.</returns>
-    </member>
-    <member name="M:System.Numerics.Plane.Transform(System.Numerics.Plane,System.Numerics.Quaternion)">
-      <summary>Transforms a normalized plane by a Quaternion rotation.</summary>
-      <param name="plane">The normalized plane to transform.</param>
-      <param name="rotation">The Quaternion rotation to apply to the plane.</param>
-      <returns>A new plane that results from applying the Quaternion rotation.</returns>
-    </member>
-    <member name="T:System.Numerics.Quaternion">
-      <summary>Represents a vector that is used to encode three-dimensional physical rotations.</summary>
-    </member>
-    <member name="M:System.Numerics.Quaternion.#ctor(System.Numerics.Vector3,System.Single)">
-      <summary>Creates a quaternion from the specified vector and rotation parts.</summary>
-      <param name="vectorPart">The vector part of the quaternion.</param>
-      <param name="scalarPart">The rotation part of the quaternion.</param>
-    </member>
-    <member name="M:System.Numerics.Quaternion.#ctor(System.Single,System.Single,System.Single,System.Single)">
-      <summary>Constructs a quaternion from the specified components.</summary>
-      <param name="x">The value to assign to the X component of the quaternion.</param>
-      <param name="y">The value to assign to the Y component of the quaternion.</param>
-      <param name="z">The value to assign to the Z component of the quaternion.</param>
-      <param name="w">The value to assign to the W component of the quaternion.</param>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Add(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Adds each element in one quaternion with its corresponding element in a second quaternion.</summary>
-      <param name="value1">The first quaternion.</param>
-      <param name="value2">The second quaternion.</param>
-      <returns>The quaternion that contains the summed values of <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Concatenate(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Concatenates two quaternions.</summary>
-      <param name="value1">The first quaternion rotation in the series.</param>
-      <param name="value2">The second quaternion rotation in the series.</param>
-      <returns>A new quaternion representing the concatenation of the <paramref name="value1">value1</paramref> rotation followed by the <paramref name="value2">value2</paramref> rotation.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Conjugate(System.Numerics.Quaternion)">
-      <summary>Returns the conjugate of a specified quaternion.</summary>
-      <param name="value">The quaternion.</param>
-      <returns>A new quaternion that is the conjugate of value.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.CreateFromAxisAngle(System.Numerics.Vector3,System.Single)">
-      <summary>Creates a quaternion from a vector and an angle to rotate about the vector.</summary>
-      <param name="axis">The vector to rotate around.</param>
-      <param name="angle">The angle, in radians, to rotate around the vector.</param>
-      <returns>The newly created quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.CreateFromRotationMatrix(System.Numerics.Matrix4x4)">
-      <summary>Creates a quaternion from the specified rotation matrix.</summary>
-      <param name="matrix">The rotation matrix.</param>
-      <returns>The newly created quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.CreateFromYawPitchRoll(System.Single,System.Single,System.Single)">
-      <summary>Creates a new quaternion from the given yaw, pitch, and roll.</summary>
-      <param name="yaw">The yaw angle, in radians, around the Y axis.</param>
-      <param name="pitch">The pitch angle, in radians, around the X axis.</param>
-      <param name="roll">The roll angle, in radians, around the Z axis.</param>
-      <returns>The resulting quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Divide(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Divides one quaternion by a second quaternion.</summary>
-      <param name="value1">The dividend.</param>
-      <param name="value2">The divisor.</param>
-      <returns>The quaternion that results from dividing <paramref name="value1">value1</paramref> by <paramref name="value2">value2</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Dot(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Calculates the dot product of two quaternions.</summary>
-      <param name="quaternion1">The first quaternion.</param>
-      <param name="quaternion2">The second quaternion.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Equals(System.Numerics.Quaternion)">
-      <summary>Returns a value that indicates whether this instance and another quaternion are equal.</summary>
-      <param name="other">The other quaternion.</param>
-      <returns>true if the two quaternions are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance and a specified object are equal.</summary>
-      <param name="obj">The object to compare with the current instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false```. If &lt;code data-dev-comment-type=&quot;paramref&quot;&gt;obj&lt;/code&gt; isnull, the method returnsfalse`.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="P:System.Numerics.Quaternion.Identity">
-      <summary>Gets a quaternion that represents no rotation.</summary>
-      <returns>A quaternion whose values are (0, 0, 0, 1).</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Inverse(System.Numerics.Quaternion)">
-      <summary>Returns the inverse of a quaternion.</summary>
-      <param name="value">The quaternion.</param>
-      <returns>The inverted quaternion.</returns>
-    </member>
-    <member name="P:System.Numerics.Quaternion.IsIdentity">
-      <summary>Gets a value that indicates whether the current instance is the identity quaternion.</summary>
-      <returns>true if the current instance is the identity quaternion; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Length">
-      <summary>Calculates the length of the quaternion.</summary>
-      <returns>The computed length of the quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.LengthSquared">
-      <summary>Calculates the squared length of the quaternion.</summary>
-      <returns>The length squared of the quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Lerp(System.Numerics.Quaternion,System.Numerics.Quaternion,System.Single)">
-      <summary>Performs a linear interpolation between two quaternions based on a value that specifies the weighting of the second quaternion.</summary>
-      <param name="quaternion1">The first quaternion.</param>
-      <param name="quaternion2">The second quaternion.</param>
-      <param name="amount">The relative weight of quaternion2 in the interpolation.</param>
-      <returns>The interpolated quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Multiply(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Returns the quaternion that results from multiplying two quaternions together.</summary>
-      <param name="value1">The first quaternion.</param>
-      <param name="value2">The second quaternion.</param>
-      <returns>The product quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Multiply(System.Numerics.Quaternion,System.Single)">
-      <summary>Returns the quaternion that results from scaling all the components of a specified quaternion by a scalar factor.</summary>
-      <param name="value1">The source quaternion.</param>
-      <param name="value2">The scalar value.</param>
-      <returns>The scaled quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Negate(System.Numerics.Quaternion)">
-      <summary>Reverses the sign of each component of the quaternion.</summary>
-      <param name="value">The quaternion to negate.</param>
-      <returns>The negated quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Normalize(System.Numerics.Quaternion)">
-      <summary>Divides each component of a specified <see cref="T:System.Numerics.Quaternion"></see> by its length.</summary>
-      <param name="value">The quaternion to normalize.</param>
-      <returns>The normalized quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Addition(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Adds each element in one quaternion with its corresponding element in a second quaternion.</summary>
-      <param name="value1">The first quaternion.</param>
-      <param name="value2">The second quaternion.</param>
-      <returns>The quaternion that contains the summed values of <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Division(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Divides one quaternion by a second quaternion.</summary>
-      <param name="value1">The dividend.</param>
-      <param name="value2">The divisor.</param>
-      <returns>The quaternion that results from dividing <paramref name="value1">value1</paramref> by <paramref name="value2">value2</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Equality(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Returns a value that indicates whether two quaternions are equal.</summary>
-      <param name="value1">The first quaternion to compare.</param>
-      <param name="value2">The second quaternion to compare.</param>
-      <returns>true if the two quaternions are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Inequality(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Returns a value that indicates whether two quaternions are not equal.</summary>
-      <param name="value1">The first quaternion to compare.</param>
-      <param name="value2">The second quaternion to compare.</param>
-      <returns>true if <paramref name="value1">value1</paramref> and <paramref name="value2">value2</paramref> are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Multiply(System.Numerics.Quaternion,System.Single)">
-      <summary>Returns the quaternion that results from scaling all the components of a specified quaternion by a scalar factor.</summary>
-      <param name="value1">The source quaternion.</param>
-      <param name="value2">The scalar value.</param>
-      <returns>The scaled quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Multiply(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Returns the quaternion that results from multiplying two quaternions together.</summary>
-      <param name="value1">The first quaternion.</param>
-      <param name="value2">The second quaternion.</param>
-      <returns>The product quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_Subtraction(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Subtracts each element in a second quaternion from its corresponding element in a first quaternion.</summary>
-      <param name="value1">The first quaternion.</param>
-      <param name="value2">The second quaternion.</param>
-      <returns>The quaternion containing the values that result from subtracting each element in <paramref name="value2">value2</paramref> from its corresponding element in <paramref name="value1">value1</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.op_UnaryNegation(System.Numerics.Quaternion)">
-      <summary>Reverses the sign of each component of the quaternion.</summary>
-      <param name="value">The quaternion to negate.</param>
-      <returns>The negated quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Slerp(System.Numerics.Quaternion,System.Numerics.Quaternion,System.Single)">
-      <summary>Interpolates between two quaternions, using spherical linear interpolation.</summary>
-      <param name="quaternion1">The first quaternion.</param>
-      <param name="quaternion2">The second quaternion.</param>
-      <param name="amount">The relative weight of the second quaternion in the interpolation.</param>
-      <returns>The interpolated quaternion.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.Subtract(System.Numerics.Quaternion,System.Numerics.Quaternion)">
-      <summary>Subtracts each element in a second quaternion from its corresponding element in a first quaternion.</summary>
-      <param name="value1">The first quaternion.</param>
-      <param name="value2">The second quaternion.</param>
-      <returns>The quaternion containing the values that result from subtracting each element in <paramref name="value2">value2</paramref> from its corresponding element in <paramref name="value1">value1</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Quaternion.ToString">
-      <summary>Returns a string that represents this quaternion.</summary>
-      <returns>The string representation of this quaternion.</returns>
-    </member>
-    <member name="F:System.Numerics.Quaternion.W">
-      <summary>The rotation component of the quaternion.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Quaternion.X">
-      <summary>The X value of the vector component of the quaternion.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Quaternion.Y">
-      <summary>The Y value of the vector component of the quaternion.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Quaternion.Z">
-      <summary>The Z value of the vector component of the quaternion.</summary>
-      <returns></returns>
-    </member>
-    <member name="T:System.Numerics.Vector`1">
-      <summary>Represents a single vector of a specified numeric type that is suitable for low-level optimization of parallel algorithms.</summary>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-    </member>
-    <member name="M:System.Numerics.Vector`1.#ctor(`0)">
-      <summary>Creates a vector whose components are of a specified type.</summary>
-      <param name="value">The numeric type that defines the type of the components in the vector.</param>
-    </member>
-    <member name="M:System.Numerics.Vector`1.#ctor(`0[])">
-      <summary>Creates a vector from a specified array.</summary>
-      <param name="values">A numeric array.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="values">values</paramref> is null.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector`1.#ctor(`0[],System.Int32)">
-      <summary>Creates a vector from a specified array starting at a specified index position.</summary>
-      <param name="values">A numeric array.</param>
-      <param name="index">The starting index position from which to create the vector.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="values">values</paramref> is null.</exception>
-      <exception cref="T:System.IndexOutOfRangeException"><paramref name="index">index</paramref> is less than zero.   -or-   The length of <paramref name="values">values</paramref> minus <paramref name="index">index</paramref> is less than <see cref="P:System.Numerics.Vector`1.Count"></see>.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector`1.CopyTo(`0[])">
-      <summary>Copies the vector instance to a specified destination array.</summary>
-      <param name="destination">The array to receive a copy of the vector values.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="destination">destination</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current vector is greater than the number of elements available in the <paramref name="destination">destination</paramref> array.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector`1.CopyTo(`0[],System.Int32)">
-      <summary>Copies the vector instance to a specified destination array starting at a specified index position.</summary>
-      <param name="destination">The array to receive a copy of the vector values.</param>
-      <param name="startIndex">The starting index in destination at which to begin the copy operation.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="destination">destination</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than the number of elements available from <paramref name="startIndex">startIndex</paramref> to the end of the <paramref name="destination">destination</paramref> array.</exception>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="index">index</paramref> is less than zero or greater than the last index in <paramref name="destination">destination</paramref>.</exception>
-    </member>
-    <member name="P:System.Numerics.Vector`1.Count">
-      <summary>Returns the number of elements stored in the vector.</summary>
-      <returns>The number of elements stored in the vector.</returns>
-      <exception cref="T:System.NotSupportedException">Access to the property getter via reflection is not supported.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector`1.Equals(System.Numerics.Vector{`0})">
-      <summary>Returns a value that indicates whether this instance is equal to a specified vector.</summary>
-      <param name="other">The vector to compare with this instance.</param>
-      <returns>true if the current instance and <paramref name="other">other</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance is equal to a specified object.</summary>
-      <param name="obj">The object to compare with this instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false. The method returns false if <paramref name="obj">obj</paramref> is null, or if <paramref name="obj">obj</paramref> is a vector of a different type than the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector`1.Item(System.Int32)">
-      <summary>Gets the element at a specified index.</summary>
-      <param name="index">The index of the element to return.</param>
-      <returns>The element at index <paramref name="index">index</paramref>.</returns>
-      <exception cref="T:System.IndexOutOfRangeException"><paramref name="index">index</paramref> is less than zero.   -or-  <paramref name="index">index</paramref> is greater than or equal to <see cref="P:System.Numerics.Vector`1.Count"></see>.</exception>
-    </member>
-    <member name="P:System.Numerics.Vector`1.One">
-      <summary>Returns a vector containing all ones.</summary>
-      <returns>A vector containing all ones.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Addition(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Adds two vectors together.</summary>
-      <param name="left">The first vector to add.</param>
-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_BitwiseAnd(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Returns a new vector by performing a bitwise And operation on each of the elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from the bitwise And of <paramref name="left">left</paramref> and <paramref name="right">right</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_BitwiseOr(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Returns a new vector by performing a bitwise Or operation on each of the elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from the bitwise Or of the elements in <paramref name="left">left</paramref> and <paramref name="right">right</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Division(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from dividing <paramref name="left">left</paramref> by <paramref name="right">right</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Equality(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Returns a value that indicates whether each pair of elements in two specified vectors are equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>true if <paramref name="left">left</paramref> and <paramref name="right">right</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_ExclusiveOr(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Returns a new vector by performing a bitwise XOr operation on each of the elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from the bitwise XOr of the elements in <paramref name="left">left</paramref> and <paramref name="right">right</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.UInt64})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.UInt64"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.UInt32})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.UInt32"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.UInt16})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.UInt16"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.Single})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.Single"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.SByte})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.SByte"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.Double})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.Double"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.Int32})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.Int32"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.Int16})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.Int16"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.Byte})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.Byte"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Explicit(System.Numerics.Vector{T} to System.Numerics.Vector{System.Int64})">
-      <summary>Reinterprets the bits of the specified vector into a vector of type <see cref="T:System.Int64"></see>.</summary>
-      <param name="value">The vector to reinterpret.</param>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Inequality(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Returns a value that indicates whether any single pair of elements in the specified vectors is equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>true if any element pairs in left and right are equal. false if no element pairs are equal.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Multiply(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Multiplies two vectors together.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The product vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Multiply(System.Numerics.Vector{`0},`0)">
-      <summary>Multiplies a vector by a specified scalar value.</summary>
-      <param name="value">The source vector.</param>
-      <param name="factor">A scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Multiply(`0,System.Numerics.Vector{`0})">
-      <summary>Multiplies a vector by the given scalar.</summary>
-      <param name="factor">The scalar value.</param>
-      <param name="value">The source vector.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_OnesComplement(System.Numerics.Vector{`0})">
-      <summary>Returns a new vector whose elements are obtained by taking the one's complement of a specified vector's elements.</summary>
-      <param name="value">The source vector.</param>
-      <returns>The one's complement vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_Subtraction(System.Numerics.Vector{`0},System.Numerics.Vector{`0})">
-      <summary>Subtracts the second vector from the first.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from subtracting <paramref name="right">right</paramref> from <paramref name="left">left</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.op_UnaryNegation(System.Numerics.Vector{`0})">
-      <summary>Negates a given vector.</summary>
-      <param name="value">The vector to negate.</param>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.ToString(System.String,System.IFormatProvider)">
-      <summary>Returns the string representation of this vector using the specified format string to format individual elements and the specified format provider to define culture-specific formatting.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <param name="formatProvider">A format provider that supplies culture-specific formatting information.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.ToString">
-      <summary>Returns the string representation of this vector using default formatting.</summary>
-      <returns>The string representation of this vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector`1.ToString(System.String)">
-      <summary>Returns the string representation of this vector using the specified format string to format individual elements.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector`1.Zero">
-      <summary>Returns a vector containing all zeroes.</summary>
-      <returns>A vector containing all zeroes.</returns>
-    </member>
-    <member name="T:System.Numerics.Vector">
-      <summary>Provides a collection of static convenience methods for creating, manipulating, combining, and converting generic vectors.</summary>
-    </member>
-    <member name="M:System.Numerics.Vector.Abs``1(System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements are the absolute values of the given vector's elements.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The absolute value vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Add``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose values are the sum of each pair of elements from two given vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AndNot``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector by performing a bitwise And Not operation on each pair of corresponding elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorByte``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of unsigned bytes.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorDouble``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a double-precision floating-point vector.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorInt16``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of 16-bit integers.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorInt32``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of integers.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorInt64``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of long integers.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorSByte``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of signed bytes.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorSingle``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a single-precision floating-point vector.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorUInt16``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of unsigned 16-bit integers.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorUInt32``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of unsigned integers.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.AsVectorUInt64``1(System.Numerics.Vector{``0})">
-      <summary>Reinterprets the bits of a specified vector into those of a vector of unsigned long integers.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The reinterpreted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.BitwiseAnd``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector by performing a bitwise And operation on each pair of elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.BitwiseOr``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector by performing a bitwise Or operation on each pair of elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConditionalSelect(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Single})">
-      <summary>Creates a new single-precision vector with elements selected between two specified single-precision source vectors based on an integral mask vector.</summary>
-      <param name="condition">The integral mask vector used to drive selection.</param>
-      <param name="left">The first source vector.</param>
-      <param name="right">The second source vector.</param>
-      <returns>The new vector with elements selected based on the mask.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConditionalSelect(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <summary>Creates a new double-precision vector with elements selected between two specified double-precision source vectors based on an integral mask vector.</summary>
-      <param name="condition">The integral mask vector used to drive selection.</param>
-      <param name="left">The first source vector.</param>
-      <param name="right">The second source vector.</param>
-      <returns>The new vector with elements selected based on the mask.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConditionalSelect``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Creates a new vector of a specified type with elements selected between two specified source vectors of the same type based on an integral mask vector.</summary>
-      <param name="condition">The integral mask vector used to drive selection.</param>
-      <param name="left">The first source vector.</param>
-      <param name="right">The second source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The new vector with elements selected based on the mask.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToDouble(System.Numerics.Vector{System.Int64})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToDouble(System.Numerics.Vector{System.UInt64})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToInt32(System.Numerics.Vector{System.Single})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToInt64(System.Numerics.Vector{System.Double})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToSingle(System.Numerics.Vector{System.Int32})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToSingle(System.Numerics.Vector{System.UInt32})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToUInt32(System.Numerics.Vector{System.Single})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.ConvertToUInt64(System.Numerics.Vector{System.Double})">
-      <param name="value"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Divide``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose values are the result of dividing the first vector's elements by the corresponding elements in the second vector.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The divided vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Dot``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns the dot product of two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Equals(System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in two specified double-precision vectors are equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Equals(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int32})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in two specified integral vectors are equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Equals(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Int64})">
-      <summary>Returns a new vector whose elements signal whether the elements in two specified long integer vectors are equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting long integer vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Equals(System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Single})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in two specified single-precision vectors are equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Equals``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector of a specified type whose elements signal whether the elements in two specified vectors of the same type are equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.EqualsAll``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether each pair of elements in the given vectors is equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if all elements in <paramref name="left">left</paramref> and <paramref name="right">right</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.EqualsAny``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether any single pair of elements in the given vectors is equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if any element pair in <paramref name="left">left</paramref> and <paramref name="right">right</paramref> is equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThan(System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one double-precision floating-point vector are greater than their corresponding elements in a second double-precision floating-point vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThan(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int32})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one integral vector are greater than their corresponding elements in a second integral vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThan(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Int64})">
-      <summary>Returns a new long integer vector whose elements signal whether the elements in one long integer vector are greater than their corresponding elements in a second long integer vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting long integer vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThan(System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Single})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one single-precision floating-point vector are greater than their corresponding elements in a second single-precision floating-point vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThan``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements signal whether the elements in one vector of a specified type are greater than their corresponding elements in the second vector of the same time.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanAll``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether all elements in the first vector are greater than the corresponding elements in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if all elements in <paramref name="left">left</paramref> are greater than the corresponding elements in <paramref name="right">right</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanAny``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether any element in the first vector is greater than the corresponding element in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if any element in <paramref name="left">left</paramref> is greater than the corresponding element in <paramref name="right">right</paramref>; otherwise,  false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqual(System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Single})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one vector are greater than or equal to their corresponding elements in the single-precision floating-point second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqual(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Int64})">
-      <summary>Returns a new long integer vector whose elements signal whether the elements in one long integer vector are greater than or equal to their corresponding elements in the second long integer vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting long integer vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqual(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int32})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one integral vector are greater than or equal to their corresponding elements in the second integral vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqual(System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one vector are greater than or equal to their corresponding elements in the second double-precision floating-point vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqual``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements signal whether the elements in one vector of a specified type are greater than or equal to their corresponding elements in the second vector of the same type.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqualAll``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether all elements in the first vector are greater than or equal to all the corresponding elements in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if all elements in <paramref name="left">left</paramref> are greater than or equal to the corresponding elements in <paramref name="right">right</paramref>; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.GreaterThanOrEqualAny``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether any element in the first vector is greater than or equal to the corresponding element in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if any element in <paramref name="left">left</paramref> is greater than or equal to the corresponding element in <paramref name="right">right</paramref>; otherwise,  false.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector.IsHardwareAccelerated">
-      <summary>Gets a value that indicates whether vector operations are subject to hardware acceleration through JIT intrinsic support.</summary>
-      <returns>true if vector operations are subject to hardware acceleration; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThan(System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one double-precision floating-point vector are less than their corresponding elements in a second double-precision floating-point vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThan(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int32})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one integral vector are less than their corresponding elements in a second integral vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThan(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Int64})">
-      <summary>Returns a new long integer vector whose elements signal whether the elements in one long integer vector are less than their corresponding elements in a second long integer vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting long integer vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThan(System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Single})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one single-precision vector are less than their corresponding elements in a second single-precision vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThan``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector of a specified type whose elements signal whether the elements in one vector are less than their corresponding elements in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanAll``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether all of the elements in the first vector are less than their corresponding elements in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if all of the elements in <paramref name="left">left</paramref> are less than the corresponding elements in <paramref name="right">right</paramref>; otherwise,  false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanAny``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether any element in the first vector is less than the corresponding element in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if any element in <paramref name="left">left</paramref> is less than the corresponding element in <paramref name="right">right</paramref>; otherwise,  false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqual(System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one double-precision floating-point vector are less than or equal to their corresponding elements in a second double-precision floating-point vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqual(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int32})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one integral vector are less than or equal to their corresponding elements in a second integral vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqual(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Int64})">
-      <summary>Returns a new long integer vector whose elements signal whether the elements in one long integer vector are less or equal to their corresponding elements in a second long integer vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting long integer vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqual(System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Single})">
-      <summary>Returns a new integral vector whose elements signal whether the elements in one single-precision floating-point vector are less than or equal to their corresponding elements in a second single-precision floating-point vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>The resulting integral vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqual``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements signal whether the elements in one vector are less than or equal to their corresponding elements in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqualAll``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether all elements in the first vector are less than or equal to their corresponding elements in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if all of the elements in <paramref name="left">left</paramref> are less than or equal to the corresponding elements in <paramref name="right">right</paramref>; otherwise,  false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.LessThanOrEqualAny``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a value that indicates whether any element in the first vector is less than or equal to the corresponding element in the second vector.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>true if any element in <paramref name="left">left</paramref> is less than or equal to the corresponding element in <paramref name="right">right</paramref>; otherwise,  false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Max``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements are the maximum of each pair of elements in the two given vectors.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The maximum vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Min``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements are the minimum of each pair of elements in the two given vectors.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The minimum vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Multiply``1(``0,System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose values are a scalar value multiplied by each of the values of a specified vector.</summary>
-      <param name="left">The scalar value.</param>
-      <param name="right">The vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Multiply``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose values are the product of each pair of elements in two specified vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The product vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Multiply``1(System.Numerics.Vector{``0},``0)">
-      <summary>Returns a new vector whose values are the values of a specified vector each multiplied by a scalar value.</summary>
-      <param name="left">The vector.</param>
-      <param name="right">The scalar value.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.Double},System.Numerics.Vector{System.Double})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.Int16},System.Numerics.Vector{System.Int16})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int32})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.Int64},System.Numerics.Vector{System.Int64})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.UInt16},System.Numerics.Vector{System.UInt16})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.UInt32},System.Numerics.Vector{System.UInt32})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Narrow(System.Numerics.Vector{System.UInt64},System.Numerics.Vector{System.UInt64})">
-      <param name="source1"></param>
-      <param name="source2"></param>
-      <returns></returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Negate``1(System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements are the negation of the corresponding element in the specified vector.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.OnesComplement``1(System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements are obtained by taking the one's complement of a specified vector's elements.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.SquareRoot``1(System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose elements are the square roots of a specified vector's elements.</summary>
-      <param name="value">The source vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The square root vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Subtract``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector whose values are the difference between the elements in the second vector and their corresponding elements in the first vector.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The difference vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.UInt16},System.Numerics.Vector{System.UInt32}@,System.Numerics.Vector{System.UInt32}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.Single},System.Numerics.Vector{System.Double}@,System.Numerics.Vector{System.Double}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.SByte},System.Numerics.Vector{System.Int16}@,System.Numerics.Vector{System.Int16}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.UInt32},System.Numerics.Vector{System.UInt64}@,System.Numerics.Vector{System.UInt64}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.Int16},System.Numerics.Vector{System.Int32}@,System.Numerics.Vector{System.Int32}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.Byte},System.Numerics.Vector{System.UInt16}@,System.Numerics.Vector{System.UInt16}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Widen(System.Numerics.Vector{System.Int32},System.Numerics.Vector{System.Int64}@,System.Numerics.Vector{System.Int64}@)">
-      <param name="source"></param>
-      <param name="dest1"></param>
-      <param name="dest2"></param>
-    </member>
-    <member name="M:System.Numerics.Vector.Xor``1(System.Numerics.Vector{``0},System.Numerics.Vector{``0})">
-      <summary>Returns a new vector by performing a bitwise exclusive Or (XOr) operation on each pair of elements in two vectors.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <typeparam name="T">The vector type. T can be any primitive numeric type.</typeparam>
-      <returns>The resulting vector.</returns>
-    </member>
-    <member name="T:System.Numerics.Vector2">
-      <summary>Represents a vector with two single-precision floating-point values.</summary>
-    </member>
-    <member name="M:System.Numerics.Vector2.#ctor(System.Single)">
-      <summary>Creates a new <see cref="T:System.Numerics.Vector2"></see> object whose two elements have the same value.</summary>
-      <param name="value">The value to assign to both elements.</param>
-    </member>
-    <member name="M:System.Numerics.Vector2.#ctor(System.Single,System.Single)">
-      <summary>Creates a vector whose elements have the specified values.</summary>
-      <param name="x">The value to assign to the <see cref="F:System.Numerics.Vector2.X"></see> field.</param>
-      <param name="y">The value to assign to the <see cref="F:System.Numerics.Vector2.Y"></see> field.</param>
-    </member>
-    <member name="M:System.Numerics.Vector2.Abs(System.Numerics.Vector2)">
-      <summary>Returns a vector whose elements are the absolute values of each of the specified vector's elements.</summary>
-      <param name="value">A vector.</param>
-      <returns>The absolute value vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Add(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Adds two vectors together.</summary>
-      <param name="left">The first vector to add.</param>
-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Clamp(System.Numerics.Vector2,System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Restricts a vector between a minimum and a maximum value.</summary>
-      <param name="value1">The vector to restrict.</param>
-      <param name="min">The minimum value.</param>
-      <param name="max">The maximum value.</param>
-      <returns>The restricted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.CopyTo(System.Single[])">
-      <summary>Copies the elements of the vector to a specified array.</summary>
-      <param name="array">The destination array.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="array">array</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than in the array.</exception>
-      <exception cref="T:System.RankException"><paramref name="array">array</paramref> is multidimensional.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector2.CopyTo(System.Single[],System.Int32)">
-      <summary>Copies the elements of the vector to a specified array starting at a specified index position.</summary>
-      <param name="array">The destination array.</param>
-      <param name="index">The index at which to copy the first element of the vector.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="array">array</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than in the array.</exception>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="index">index</paramref> is less than zero.   -or-  <paramref name="index">index</paramref> is greater than or equal to the array length.</exception>
-      <exception cref="T:System.RankException"><paramref name="array">array</paramref> is multidimensional.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector2.Distance(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Computes the Euclidean distance between the two given points.</summary>
-      <param name="value1">The first point.</param>
-      <param name="value2">The second point.</param>
-      <returns>The distance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.DistanceSquared(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns the Euclidean distance squared between two specified points.</summary>
-      <param name="value1">The first point.</param>
-      <param name="value2">The second point.</param>
-      <returns>The distance squared.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Divide(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector resulting from the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Divide(System.Numerics.Vector2,System.Single)">
-      <summary>Divides the specified vector by a specified scalar value.</summary>
-      <param name="left">The vector.</param>
-      <param name="divisor">The scalar value.</param>
-      <returns>The vector that results from the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Dot(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns the dot product of two vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance and a specified object are equal.</summary>
-      <param name="obj">The object to compare with the current instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false```. If &lt;code data-dev-comment-type=&quot;paramref&quot;&gt;obj&lt;/code&gt; isnull, the method returnsfalse`.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Equals(System.Numerics.Vector2)">
-      <summary>Returns a value that indicates whether this instance and another vector are equal.</summary>
-      <param name="other">The other vector.</param>
-      <returns>true if the two vectors are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Length">
-      <summary>Returns the length of the vector.</summary>
-      <returns>The vector's length.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.LengthSquared">
-      <summary>Returns the length of the vector squared.</summary>
-      <returns>The vector's length squared.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Lerp(System.Numerics.Vector2,System.Numerics.Vector2,System.Single)">
-      <summary>Performs a linear interpolation between two vectors based on the given weighting.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <param name="amount">A value between 0 and 1 that indicates the weight of value2.</param>
-      <returns>The interpolated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Max(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns a vector whose elements are the maximum of each of the pairs of elements in two specified vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The maximized vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Min(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns a vector whose elements are the minimum of each of the pairs of elements in two specified vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The minimized vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Multiply(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Multiplies two vectors together.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The product vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Multiply(System.Numerics.Vector2,System.Single)">
-      <summary>Multiplies a vector by a specified scalar.</summary>
-      <param name="left">The vector to multiply.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Multiply(System.Single,System.Numerics.Vector2)">
-      <summary>Multiplies a scalar value by a specified vector.</summary>
-      <param name="left">The scaled value.</param>
-      <param name="right">The vector.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Negate(System.Numerics.Vector2)">
-      <summary>Negates a specified vector.</summary>
-      <param name="value">The vector to negate.</param>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Normalize(System.Numerics.Vector2)">
-      <summary>Returns a vector with the same direction as the specified vector, but with a length of one.</summary>
-      <param name="value">The vector to normalize.</param>
-      <returns>The normalized vector.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector2.One">
-      <summary>Gets a vector whose 2 elements are equal to one.</summary>
-      <returns>A vector whose two elements are equal to one (that is, it returns the vector (1,1).</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Addition(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Adds two vectors together.</summary>
-      <param name="left">The first vector to add.</param>
-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Division(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from dividing <paramref name="left">left</paramref> by <paramref name="right">right</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Division(System.Numerics.Vector2,System.Single)">
-      <summary>Divides the specified vector by a specified scalar value.</summary>
-      <param name="value1">The vector.</param>
-      <param name="value2">The scalar value.</param>
-      <returns>The result of the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Equality(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns a value that indicates whether each pair of elements in two specified vectors is equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>true if <paramref name="left">left</paramref> and <paramref name="right">right</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Inequality(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns a value that indicates whether two specified vectors are not equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>true if <paramref name="left">left</paramref> and <paramref name="right">right</paramref> are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Multiply(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Multiplies two vectors together.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The product vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Multiply(System.Numerics.Vector2,System.Single)">
-      <summary>Multiples the specified vector by the specified scalar value.</summary>
-      <param name="left">The vector.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Multiply(System.Single,System.Numerics.Vector2)">
-      <summary>Multiples the scalar value by the specified vector.</summary>
-      <param name="left">The vector.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_Subtraction(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Subtracts the second vector from the first.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from subtracting <paramref name="right">right</paramref> from <paramref name="left">left</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.op_UnaryNegation(System.Numerics.Vector2)">
-      <summary>Negates the specified vector.</summary>
-      <param name="value">The vector to negate.</param>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Reflect(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Returns the reflection of a vector off a surface that has the specified normal.</summary>
-      <param name="vector">The source vector.</param>
-      <param name="normal">The normal of the surface being reflected off.</param>
-      <returns>The reflected vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.SquareRoot(System.Numerics.Vector2)">
-      <summary>Returns a vector whose elements are the square root of each of a specified vector's elements.</summary>
-      <param name="value">A vector.</param>
-      <returns>The square root vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Subtract(System.Numerics.Vector2,System.Numerics.Vector2)">
-      <summary>Subtracts the second vector from the first.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The difference vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.ToString">
-      <summary>Returns the string representation of the current instance using default formatting.</summary>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.ToString(System.String)">
-      <summary>Returns the string representation of the current instance using the specified format string to format individual elements.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.ToString(System.String,System.IFormatProvider)">
-      <summary>Returns the string representation of the current instance using the specified format string to format individual elements and the specified format provider to define culture-specific formatting.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <param name="formatProvider">A format provider that supplies culture-specific formatting information.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Transform(System.Numerics.Vector2,System.Numerics.Matrix3x2)">
-      <summary>Transforms a vector by a specified 3x2 matrix.</summary>
-      <param name="position">The vector to transform.</param>
-      <param name="matrix">The transformation matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Transform(System.Numerics.Vector2,System.Numerics.Matrix4x4)">
-      <summary>Transforms a vector by a specified 4x4 matrix.</summary>
-      <param name="position">The vector to transform.</param>
-      <param name="matrix">The transformation matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.Transform(System.Numerics.Vector2,System.Numerics.Quaternion)">
-      <summary>Transforms a vector by the specified Quaternion rotation value.</summary>
-      <param name="value">The vector to rotate.</param>
-      <param name="rotation">The rotation to apply.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.TransformNormal(System.Numerics.Vector2,System.Numerics.Matrix3x2)">
-      <summary>Transforms a vector normal by the given 3x2 matrix.</summary>
-      <param name="normal">The source vector.</param>
-      <param name="matrix">The matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector2.TransformNormal(System.Numerics.Vector2,System.Numerics.Matrix4x4)">
-      <summary>Transforms a vector normal by the given 4x4 matrix.</summary>
-      <param name="normal">The source vector.</param>
-      <param name="matrix">The matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector2.UnitX">
-      <summary>Gets the vector (1,0).</summary>
-      <returns>The vector (1,0).</returns>
-    </member>
-    <member name="P:System.Numerics.Vector2.UnitY">
-      <summary>Gets the vector (0,1).</summary>
-      <returns>The vector (0,1).</returns>
-    </member>
-    <member name="F:System.Numerics.Vector2.X">
-      <summary>The X component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Vector2.Y">
-      <summary>The Y component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Numerics.Vector2.Zero">
-      <summary>Returns a vector whose 2 elements are equal to zero.</summary>
-      <returns>A vector whose two elements are equal to zero (that is, it returns the vector (0,0).</returns>
-    </member>
-    <member name="T:System.Numerics.Vector3">
-      <summary>Represents a vector with three  single-precision floating-point values.</summary>
-    </member>
-    <member name="M:System.Numerics.Vector3.#ctor(System.Single)">
-      <summary>Creates a new <see cref="T:System.Numerics.Vector3"></see> object whose three elements have the same value.</summary>
-      <param name="value">The value to assign to all three elements.</param>
-    </member>
-    <member name="M:System.Numerics.Vector3.#ctor(System.Numerics.Vector2,System.Single)">
-      <summary>Creates a   new <see cref="T:System.Numerics.Vector3"></see> object from the specified <see cref="T:System.Numerics.Vector2"></see> object and the specified value.</summary>
-      <param name="value">The vector with two elements.</param>
-      <param name="z">The additional value to assign to the <see cref="F:System.Numerics.Vector3.Z"></see> field.</param>
-    </member>
-    <member name="M:System.Numerics.Vector3.#ctor(System.Single,System.Single,System.Single)">
-      <summary>Creates a vector whose elements have the specified values.</summary>
-      <param name="x">The value to assign to the <see cref="F:System.Numerics.Vector3.X"></see> field.</param>
-      <param name="y">The value to assign to the <see cref="F:System.Numerics.Vector3.Y"></see> field.</param>
-      <param name="z">The value to assign to the <see cref="F:System.Numerics.Vector3.Z"></see> field.</param>
-    </member>
-    <member name="M:System.Numerics.Vector3.Abs(System.Numerics.Vector3)">
-      <summary>Returns a vector whose elements are the absolute values of each of the specified vector's elements.</summary>
-      <param name="value">A vector.</param>
-      <returns>The absolute value vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Add(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Adds two vectors together.</summary>
-      <param name="left">The first vector to add.</param>
-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Clamp(System.Numerics.Vector3,System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Restricts a vector between a minimum and a maximum value.</summary>
-      <param name="value1">The vector to restrict.</param>
-      <param name="min">The minimum value.</param>
-      <param name="max">The maximum value.</param>
-      <returns>The restricted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.CopyTo(System.Single[])">
-      <summary>Copies the elements of the vector to a specified array.</summary>
-      <param name="array">The destination array.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="array">array</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than in the array.</exception>
-      <exception cref="T:System.RankException"><paramref name="array">array</paramref> is multidimensional.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector3.CopyTo(System.Single[],System.Int32)">
-      <summary>Copies the elements of the vector to a specified array starting at a specified index position.</summary>
-      <param name="array">The destination array.</param>
-      <param name="index">The index at which to copy the first element of the vector.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="array">array</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than in the array.</exception>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="index">index</paramref> is less than zero.   -or-  <paramref name="index">index</paramref> is greater than or equal to the array length.</exception>
-      <exception cref="T:System.RankException"><paramref name="array">array</paramref> is multidimensional.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector3.Cross(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Computes the cross product of two vectors.</summary>
-      <param name="vector1">The first vector.</param>
-      <param name="vector2">The second vector.</param>
-      <returns>The cross product.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Distance(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Computes the Euclidean distance between the two given points.</summary>
-      <param name="value1">The first point.</param>
-      <param name="value2">The second point.</param>
-      <returns>The distance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.DistanceSquared(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns the Euclidean distance squared between two specified points.</summary>
-      <param name="value1">The first point.</param>
-      <param name="value2">The second point.</param>
-      <returns>The distance squared.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Divide(System.Numerics.Vector3,System.Single)">
-      <summary>Divides the specified vector by a specified scalar value.</summary>
-      <param name="left">The vector.</param>
-      <param name="divisor">The scalar value.</param>
-      <returns>The vector that results from the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Divide(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector resulting from the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Dot(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns the dot product of two vectors.</summary>
-      <param name="vector1">The first vector.</param>
-      <param name="vector2">The second vector.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Equals(System.Numerics.Vector3)">
-      <summary>Returns a value that indicates whether this instance and another vector are equal.</summary>
-      <param name="other">The other vector.</param>
-      <returns>true if the two vectors are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance and a specified object are equal.</summary>
-      <param name="obj">The object to compare with the current instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false```. If &lt;code data-dev-comment-type=&quot;paramref&quot;&gt;obj&lt;/code&gt; isnull, the method returnsfalse`.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Length">
-      <summary>Returns the length of this vector object.</summary>
-      <returns>The vector's length.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.LengthSquared">
-      <summary>Returns the length of the vector squared.</summary>
-      <returns>The vector's length squared.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Lerp(System.Numerics.Vector3,System.Numerics.Vector3,System.Single)">
-      <summary>Performs a linear interpolation between two vectors based on the given weighting.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <param name="amount">A value between 0 and 1 that indicates the weight of value2.</param>
-      <returns>The interpolated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Max(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns a vector whose elements are the maximum of each of the pairs of elements in two specified vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The maximized vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Min(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns a vector whose elements are the minimum of each of the pairs of elements in two specified vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The minimized vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Multiply(System.Single,System.Numerics.Vector3)">
-      <summary>Multiplies a scalar value by a specified vector.</summary>
-      <param name="left">The scaled value.</param>
-      <param name="right">The vector.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Multiply(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Multiplies two vectors together.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The product vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Multiply(System.Numerics.Vector3,System.Single)">
-      <summary>Multiplies a vector by a specified scalar.</summary>
-      <param name="left">The vector to multiply.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Negate(System.Numerics.Vector3)">
-      <summary>Negates a specified vector.</summary>
-      <param name="value">The vector to negate.</param>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Normalize(System.Numerics.Vector3)">
-      <summary>Returns a vector with the same direction as the specified vector, but with a length of one.</summary>
-      <param name="value">The vector to normalize.</param>
-      <returns>The normalized vector.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector3.One">
-      <summary>Gets a vector whose 3 elements are equal to one.</summary>
-      <returns>A vector whose three elements are equal to one (that is, it returns the vector (1,1,1).</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Addition(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Adds two vectors together.</summary>
-      <param name="left">The first vector to add.</param>
-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Division(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from dividing <paramref name="left">left</paramref> by <paramref name="right">right</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Division(System.Numerics.Vector3,System.Single)">
-      <summary>Divides the specified vector by a specified scalar value.</summary>
-      <param name="value1">The vector.</param>
-      <param name="value2">The scalar value.</param>
-      <returns>The result of the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Equality(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns a value that indicates whether each pair of elements in two specified vectors is equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>true if <paramref name="left">left</paramref> and <paramref name="right">right</paramref> are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Inequality(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns a value that indicates whether two specified vectors are not equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
-      <returns>true if <paramref name="left">left</paramref> and <paramref name="right">right</paramref> are not equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Multiply(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Multiplies two vectors together.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The product vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Multiply(System.Numerics.Vector3,System.Single)">
-      <summary>Multiples the specified vector by the specified scalar value.</summary>
-      <param name="left">The vector.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Multiply(System.Single,System.Numerics.Vector3)">
-      <summary>Multiples the scalar value by the specified vector.</summary>
-      <param name="left">The vector.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_Subtraction(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Subtracts the second vector from the first.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from subtracting <paramref name="right">right</paramref> from <paramref name="left">left</paramref>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.op_UnaryNegation(System.Numerics.Vector3)">
-      <summary>Negates the specified vector.</summary>
-      <param name="value">The vector to negate.</param>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Reflect(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Returns the reflection of a vector off a surface that has the specified normal.</summary>
-      <param name="vector">The source vector.</param>
-      <param name="normal">The normal of the surface being reflected off.</param>
-      <returns>The reflected vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.SquareRoot(System.Numerics.Vector3)">
-      <summary>Returns a vector whose elements are the square root of each of a specified vector's elements.</summary>
-      <param name="value">A vector.</param>
-      <returns>The square root vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Subtract(System.Numerics.Vector3,System.Numerics.Vector3)">
-      <summary>Subtracts the second vector from the first.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The difference vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.ToString">
-      <summary>Returns the string representation of the current instance using default formatting.</summary>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.ToString(System.String)">
-      <summary>Returns the string representation of the current instance using the specified format string to format individual elements.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.ToString(System.String,System.IFormatProvider)">
-      <summary>Returns the string representation of the current instance using the specified format string to format individual elements and the specified format provider to define culture-specific formatting.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <param name="formatProvider">A format provider that supplies culture-specific formatting information.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Transform(System.Numerics.Vector3,System.Numerics.Matrix4x4)">
-      <summary>Transforms a vector by a specified 4x4 matrix.</summary>
-      <param name="position">The vector to transform.</param>
-      <param name="matrix">The transformation matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.Transform(System.Numerics.Vector3,System.Numerics.Quaternion)">
-      <summary>Transforms a vector by the specified Quaternion rotation value.</summary>
-      <param name="value">The vector to rotate.</param>
-      <param name="rotation">The rotation to apply.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector3.TransformNormal(System.Numerics.Vector3,System.Numerics.Matrix4x4)">
-      <summary>Transforms a vector normal by the given 4x4 matrix.</summary>
-      <param name="normal">The source vector.</param>
-      <param name="matrix">The matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector3.UnitX">
-      <summary>Gets the vector (1,0,0).</summary>
-      <returns>The vector (1,0,0).</returns>
-    </member>
-    <member name="P:System.Numerics.Vector3.UnitY">
-      <summary>Gets the vector (0,1,0).</summary>
-      <returns>The vector (0,1,0)..</returns>
-    </member>
-    <member name="P:System.Numerics.Vector3.UnitZ">
-      <summary>Gets the vector (0,0,1).</summary>
-      <returns>The vector (0,0,1).</returns>
-    </member>
-    <member name="F:System.Numerics.Vector3.X">
-      <summary>The X component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Vector3.Y">
-      <summary>The Y component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Vector3.Z">
-      <summary>The Z component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Numerics.Vector3.Zero">
-      <summary>Gets a vector whose 3 elements are equal to zero.</summary>
-      <returns>A vector whose three elements are equal to zero (that is, it returns the vector (0,0,0).</returns>
-    </member>
-    <member name="T:System.Numerics.Vector4">
-      <summary>Represents a vector with four single-precision floating-point values.</summary>
-    </member>
-    <member name="M:System.Numerics.Vector4.#ctor(System.Single)">
-      <summary>Creates a new <see cref="T:System.Numerics.Vector4"></see> object whose four elements have the same value.</summary>
-      <param name="value">The value to assign to all four elements.</param>
-    </member>
-    <member name="M:System.Numerics.Vector4.#ctor(System.Numerics.Vector3,System.Single)">
-      <summary>Constructs a new <see cref="T:System.Numerics.Vector4"></see> object from the specified <see cref="T:System.Numerics.Vector3"></see> object and a W component.</summary>
-      <param name="value">The vector to use for the X, Y, and Z components.</param>
-      <param name="w">The W component.</param>
-    </member>
-    <member name="M:System.Numerics.Vector4.#ctor(System.Numerics.Vector2,System.Single,System.Single)">
-      <summary>Creates a   new <see cref="T:System.Numerics.Vector4"></see> object from the specified <see cref="T:System.Numerics.Vector2"></see> object and a Z and a W component.</summary>
-      <param name="value">The vector to use for the X and Y components.</param>
-      <param name="z">The Z component.</param>
-      <param name="w">The W component.</param>
-    </member>
-    <member name="M:System.Numerics.Vector4.#ctor(System.Single,System.Single,System.Single,System.Single)">
-      <summary>Creates a vector whose elements have the specified values.</summary>
-      <param name="x">The value to assign to the <see cref="F:System.Numerics.Vector4.X"></see> field.</param>
-      <param name="y">The value to assign to the <see cref="F:System.Numerics.Vector4.Y"></see> field.</param>
-      <param name="z">The value to assign to the <see cref="F:System.Numerics.Vector4.Z"></see> field.</param>
-      <param name="w">The value to assign to the <see cref="F:System.Numerics.Vector4.W"></see> field.</param>
-    </member>
-    <member name="M:System.Numerics.Vector4.Abs(System.Numerics.Vector4)">
-      <summary>Returns a vector whose elements are the absolute values of each of the specified vector's elements.</summary>
-      <param name="value">A vector.</param>
-      <returns>The absolute value vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Add(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Adds two vectors together.</summary>
-      <param name="left">The first vector to add.</param>
-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Clamp(System.Numerics.Vector4,System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Restricts a vector between a minimum and a maximum value.</summary>
-      <param name="value1">The vector to restrict.</param>
-      <param name="min">The minimum value.</param>
-      <param name="max">The maximum value.</param>
-      <returns>The restricted vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.CopyTo(System.Single[])">
-      <summary>Copies the elements of the vector to a specified array.</summary>
-      <param name="array">The destination array.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="array">array</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than in the array.</exception>
-      <exception cref="T:System.RankException"><paramref name="array">array</paramref> is multidimensional.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector4.CopyTo(System.Single[],System.Int32)">
-      <summary>Copies the elements of the vector to a specified array starting at a specified index position.</summary>
-      <param name="array">The destination array.</param>
-      <param name="index">The index at which to copy the first element of the vector.</param>
-      <exception cref="T:System.ArgumentNullException"><paramref name="array">array</paramref> is null.</exception>
-      <exception cref="T:System.ArgumentException">The number of elements in the current instance is greater than in the array.</exception>
-      <exception cref="T:System.ArgumentOutOfRangeException"><paramref name="index">index</paramref> is less than zero.   -or-  <paramref name="index">index</paramref> is greater than or equal to the array length.</exception>
-      <exception cref="T:System.RankException"><paramref name="array">array</paramref> is multidimensional.</exception>
-    </member>
-    <member name="M:System.Numerics.Vector4.Distance(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Computes the Euclidean distance between the two given points.</summary>
-      <param name="value1">The first point.</param>
-      <param name="value2">The second point.</param>
-      <returns>The distance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.DistanceSquared(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Returns the Euclidean distance squared between two specified points.</summary>
-      <param name="value1">The first point.</param>
-      <param name="value2">The second point.</param>
-      <returns>The distance squared.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Divide(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector resulting from the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Divide(System.Numerics.Vector4,System.Single)">
-      <summary>Divides the specified vector by a specified scalar value.</summary>
-      <param name="left">The vector.</param>
-      <param name="divisor">The scalar value.</param>
-      <returns>The vector that results from the division.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Dot(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Returns the dot product of two vectors.</summary>
-      <param name="vector1">The first vector.</param>
-      <param name="vector2">The second vector.</param>
-      <returns>The dot product.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Equals(System.Numerics.Vector4)">
-      <summary>Returns a value that indicates whether this instance and another vector are equal.</summary>
-      <param name="other">The other vector.</param>
-      <returns>true if the two vectors are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Equals(System.Object)">
-      <summary>Returns a value that indicates whether this instance and a specified object are equal.</summary>
-      <param name="obj">The object to compare with the current instance.</param>
-      <returns>true if the current instance and <paramref name="obj">obj</paramref> are equal; otherwise, false```. If &lt;code data-dev-comment-type=&quot;paramref&quot;&gt;obj&lt;/code&gt; isnull, the method returnsfalse`.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Length">
-      <summary>Returns the length of this vector object.</summary>
-      <returns>The vector's length.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.LengthSquared">
-      <summary>Returns the length of the vector squared.</summary>
-      <returns>The vector's length squared.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Lerp(System.Numerics.Vector4,System.Numerics.Vector4,System.Single)">
-      <summary>Performs a linear interpolation between two vectors based on the given weighting.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <param name="amount">A value between 0 and 1 that indicates the weight of value2.</param>
-      <returns>The interpolated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Max(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Returns a vector whose elements are the maximum of each of the pairs of elements in two specified vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The maximized vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Min(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Returns a vector whose elements are the minimum of each of the pairs of elements in two specified vectors.</summary>
-      <param name="value1">The first vector.</param>
-      <param name="value2">The second vector.</param>
-      <returns>The minimized vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Multiply(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Multiplies two vectors together.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The product vector.</returns>
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-    <member name="M:System.Numerics.Vector4.Multiply(System.Numerics.Vector4,System.Single)">
-      <summary>Multiplies a vector by a specified scalar.</summary>
-      <param name="left">The vector to multiply.</param>
-      <param name="right">The scalar value.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Multiply(System.Single,System.Numerics.Vector4)">
-      <summary>Multiplies a scalar value by a specified vector.</summary>
-      <param name="left">The scaled value.</param>
-      <param name="right">The vector.</param>
-      <returns>The scaled vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Negate(System.Numerics.Vector4)">
-      <summary>Negates a specified vector.</summary>
-      <param name="value">The vector to negate.</param>
-      <returns>The negated vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Normalize(System.Numerics.Vector4)">
-      <summary>Returns a vector with the same direction as the specified vector, but with a length of one.</summary>
-      <param name="vector">The vector to normalize.</param>
-      <returns>The normalized vector.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector4.One">
-      <summary>Gets a vector whose 4 elements are equal to one.</summary>
-      <returns>Returns <see cref="T:System.Numerics.Vector4"></see>.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.op_Addition(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Adds two vectors together.</summary>
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-      <param name="right">The second vector to add.</param>
-      <returns>The summed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.op_Division(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Divides the first vector by the second.</summary>
-      <param name="left">The first vector.</param>
-      <param name="right">The second vector.</param>
-      <returns>The vector that results from dividing <paramref name="left">left</paramref> by <paramref name="right">right</paramref>.</returns>
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-    <member name="M:System.Numerics.Vector4.op_Division(System.Numerics.Vector4,System.Single)">
-      <summary>Divides the specified vector by a specified scalar value.</summary>
-      <param name="value1">The vector.</param>
-      <param name="value2">The scalar value.</param>
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-    <member name="M:System.Numerics.Vector4.op_Equality(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Returns a value that indicates whether each pair of elements in two specified vectors is equal.</summary>
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-      <param name="right">The second vector to compare.</param>
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-    <member name="M:System.Numerics.Vector4.op_Inequality(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Returns a value that indicates whether two specified vectors are not equal.</summary>
-      <param name="left">The first vector to compare.</param>
-      <param name="right">The second vector to compare.</param>
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-      <summary>Multiplies two vectors together.</summary>
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-      <summary>Multiples the scalar value by the specified vector.</summary>
-      <param name="left">The vector.</param>
-      <param name="right">The scalar value.</param>
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-      <summary>Subtracts the second vector from the first.</summary>
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-      <summary>Returns a vector whose elements are the square root of each of a specified vector's elements.</summary>
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-      <returns>The square root vector.</returns>
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-    <member name="M:System.Numerics.Vector4.Subtract(System.Numerics.Vector4,System.Numerics.Vector4)">
-      <summary>Subtracts the second vector from the first.</summary>
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-      <param name="right">The second vector.</param>
-      <returns>The difference vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.ToString">
-      <summary>Returns the string representation of the current instance using default formatting.</summary>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.ToString(System.String)">
-      <summary>Returns the string representation of the current instance using the specified format string to format individual elements.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <returns>The string representation of the current instance.</returns>
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-    <member name="M:System.Numerics.Vector4.ToString(System.String,System.IFormatProvider)">
-      <summary>Returns the string representation of the current instance using the specified format string to format individual elements and the specified format provider to define culture-specific formatting.</summary>
-      <param name="format">A  or  that defines the format of individual elements.</param>
-      <param name="formatProvider">A format provider that supplies culture-specific formatting information.</param>
-      <returns>The string representation of the current instance.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Transform(System.Numerics.Vector4,System.Numerics.Quaternion)">
-      <summary>Transforms a four-dimensional vector by the specified Quaternion rotation value.</summary>
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-      <returns>The transformed vector.</returns>
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-      <summary>Transforms a four-dimensional vector by a specified 4x4 matrix.</summary>
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-      <param name="matrix">The transformation matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Transform(System.Numerics.Vector3,System.Numerics.Quaternion)">
-      <summary>Transforms a three-dimensional vector by the specified Quaternion rotation value.</summary>
-      <param name="value">The vector to rotate.</param>
-      <param name="rotation">The rotation to apply.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Transform(System.Numerics.Vector2,System.Numerics.Matrix4x4)">
-      <summary>Transforms a two-dimensional vector by a specified 4x4 matrix.</summary>
-      <param name="position">The vector to transform.</param>
-      <param name="matrix">The transformation matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Transform(System.Numerics.Vector2,System.Numerics.Quaternion)">
-      <summary>Transforms a two-dimensional vector by the specified Quaternion rotation value.</summary>
-      <param name="value">The vector to rotate.</param>
-      <param name="rotation">The rotation to apply.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="M:System.Numerics.Vector4.Transform(System.Numerics.Vector3,System.Numerics.Matrix4x4)">
-      <summary>Transforms a three-dimensional vector by a specified 4x4 matrix.</summary>
-      <param name="position">The vector to transform.</param>
-      <param name="matrix">The transformation matrix.</param>
-      <returns>The transformed vector.</returns>
-    </member>
-    <member name="P:System.Numerics.Vector4.UnitW">
-      <summary>Gets the vector (0,0,0,1).</summary>
-      <returns>The vector (0,0,0,1).</returns>
-    </member>
-    <member name="P:System.Numerics.Vector4.UnitX">
-      <summary>Gets the vector (1,0,0,0).</summary>
-      <returns>The vector (1,0,0,0).</returns>
-    </member>
-    <member name="P:System.Numerics.Vector4.UnitY">
-      <summary>Gets the vector (0,1,0,0).</summary>
-      <returns>The vector (0,1,0,0)..</returns>
-    </member>
-    <member name="P:System.Numerics.Vector4.UnitZ">
-      <summary>Gets a vector whose 4 elements are equal to zero.</summary>
-      <returns>The vector (0,0,1,0).</returns>
-    </member>
-    <member name="F:System.Numerics.Vector4.W">
-      <summary>The W component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Vector4.X">
-      <summary>The X component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Vector4.Y">
-      <summary>The Y component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="F:System.Numerics.Vector4.Z">
-      <summary>The Z component of the vector.</summary>
-      <returns></returns>
-    </member>
-    <member name="P:System.Numerics.Vector4.Zero">
-      <summary>Gets a vector whose 4 elements are equal to zero.</summary>
-      <returns>A vector whose four elements are equal to zero (that is, it returns the vector (0,0,0,0).</returns>
-    </member>
-  </members>
-</doc></span>
\ No newline at end of file
diff --git a/W/Debug_Folder/System.Runtime.CompilerServices.Unsafe.dll b/W/Debug_Folder/System.Runtime.CompilerServices.Unsafe.dll
deleted file mode 100644
index de9e12447..000000000
Binary files a/W/Debug_Folder/System.Runtime.CompilerServices.Unsafe.dll and /dev/null differ
diff --git a/W/Debug_Folder/System.Runtime.CompilerServices.Unsafe.xml b/W/Debug_Folder/System.Runtime.CompilerServices.Unsafe.xml
deleted file mode 100644
index 6a7cfcffe..000000000
--- a/W/Debug_Folder/System.Runtime.CompilerServices.Unsafe.xml
+++ /dev/null
@@ -1,200 +0,0 @@
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-    <name>System.Runtime.CompilerServices.Unsafe</name>
-  </assembly>
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-    <member name="M:System.Runtime.CompilerServices.Unsafe.Add``1(``0@,System.Int32)">
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-      <typeparam name="T">The type of reference.</typeparam>
-      <returns>A new reference that reflects the addition of offset to pointer.</returns>
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-    <member name="M:System.Runtime.CompilerServices.Unsafe.Add``1(``0@,System.IntPtr)">
-      <summary>Adds an element offset to the given reference.</summary>
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-      <typeparam name="T">The type of reference.</typeparam>
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-      <param name="source">The reference to add the offset to.</param>
-      <param name="byteOffset">The offset to add.</param>
-      <typeparam name="T">The type of reference.</typeparam>
-      <returns>A new reference that reflects the addition of byte offset to pointer.</returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.AreSame``1(``0@,``0@)">
-      <summary>Determines whether the specified references point to the same location.</summary>
-      <param name="left">The first reference to compare.</param>
-      <param name="right">The second reference to compare.</param>
-      <typeparam name="T">The type of reference.</typeparam>
-      <returns>true if <paramref name="left">left</paramref> and <paramref name="right">right</paramref> point to the same location; otherwise, false.</returns>
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-      <summary>Casts the given object to the specified type.</summary>
-      <param name="o">The object to cast.</param>
-      <typeparam name="T">The type which the object will be cast to.</typeparam>
-      <returns>The original object, casted to the given type.</returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.As``2(``0@)">
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-      <typeparam name="TTo">The desired type of the reference.</typeparam>
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-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.AsPointer``1(``0@)">
-      <summary>Returns a pointer to the given by-ref parameter.</summary>
-      <param name="value">The object whose pointer is obtained.</param>
-      <typeparam name="T">The type of object.</typeparam>
-      <returns>A pointer to the given value.</returns>
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-    <member name="M:System.Runtime.CompilerServices.Unsafe.AsRef``1(System.Void*)">
-      <summary>Reinterprets the given location as a reference to a value of type <typeparamref name="T">T</typeparamref>.</summary>
-      <param name="source">The location of the value to reference.</param>
-      <typeparam name="T">The type of the interpreted location.</typeparam>
-      <returns>A reference to a value of type <typeparamref name="T">T</typeparamref>.</returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.ByteOffset``1(``0@,``0@)">
-      <summary>Determines the byte offset from origin to target from the given references.</summary>
-      <param name="origin">The reference to origin.</param>
-      <param name="target">The reference to target.</param>
-      <typeparam name="T">The type of reference.</typeparam>
-      <returns>Byte offset from origin to target i.e. <paramref name="target">target</paramref> - <paramref name="origin">origin</paramref>.</returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.Copy``1(System.Void*,``0@)">
-      <summary>Copies a value of type <typeparamref name="T">T</typeparamref> to the given location.</summary>
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-      <param name="source">A reference to the value to copy.</param>
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-      <summary>Copies a value of type <typeparamref name="T">T</typeparamref> to the given location.</summary>
-      <param name="destination">The location to copy to.</param>
-      <param name="source">A pointer to the value to copy.</param>
-      <typeparam name="T">The type of value to copy.</typeparam>
-    </member>
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-      <summary>Copies bytes from the source address to the destination address.</summary>
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-      <param name="source">The source address to copy from.</param>
-      <param name="byteCount">The number of bytes to copy.</param>
-    </member>
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-      <summary>Copies bytes from the source address to the destination address.</summary>
-      <param name="destination">The destination address to copy to.</param>
-      <param name="source">The source address to copy from.</param>
-      <param name="byteCount">The number of bytes to copy.</param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.CopyBlockUnaligned(System.Void*,System.Void*,System.UInt32)">
-      <summary>Copies bytes from the source address to the destination address 
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-      <param name="source">The source address to copy from.</param>
-      <param name="byteCount">The number of bytes to copy.</param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.CopyBlockUnaligned(System.Byte@,System.Byte@,System.UInt32)">
-      <summary>Copies bytes from the source address to the destination address 
-without assuming architecture dependent alignment of the addresses.</summary>
-      <param name="destination">The destination address to copy to.</param>
-      <param name="source">The source address to copy from.</param>
-      <param name="byteCount">The number of bytes to copy.</param>
-    </member>
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-      <summary>Initializes a block of memory at the given location with a given initial value.</summary>
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-      <param name="byteCount">The number of bytes to initialize.</param>
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-      <summary>Initializes a block of memory at the given location with a given initial value.</summary>
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-      <param name="value">The value to initialize the block to.</param>
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-    </member>
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-      <summary>Initializes a block of memory at the given location with a given initial value 
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-      <param name="startAddress">The address of the start of the memory block to initialize.</param>
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-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.InitBlockUnaligned(System.Void*,System.Byte,System.UInt32)">
-      <summary>Initializes a block of memory at the given location with a given initial value 
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-      <param name="startAddress">The address of the start of the memory block to initialize.</param>
-      <param name="value">The value to initialize the block to.</param>
-      <param name="byteCount">The number of bytes to initialize.</param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.Read``1(System.Void*)">
-      <summary>Reads a value of type <typeparamref name="T">T</typeparamref> from the given location.</summary>
-      <param name="source">The location to read from.</param>
-      <typeparam name="T">The type to read.</typeparam>
-      <returns>An object of type <typeparamref name="T">T</typeparamref> read from the given location.</returns>
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-      <summary>Reads a value of type <typeparamref name="T">T</typeparamref> from the given location
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-      <returns>The size of an object of type <typeparamref name="T">T</typeparamref>.</returns>
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-    <member name="M:System.Runtime.CompilerServices.Unsafe.Subtract``1(``0@,System.IntPtr)">
-      <summary>Subtracts an element offset from the given reference.</summary>
-      <param name="source">The reference to subtract the offset from.</param>
-      <param name="elementOffset">The offset to subtract.</param>
-      <typeparam name="T">The type of reference.</typeparam>
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-      <param name="source">The reference to subtract the offset from.</param>
-      <param name="byteOffset"></param>
-      <typeparam name="T">The type of reference.</typeparam>
-      <returns>A new reference that reflects the subraction of byte offset from pointer.</returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.Write``1(System.Void*,``0)">
-      <summary>Writes a value of type <typeparamref name="T">T</typeparamref> to the given location.</summary>
-      <param name="destination">The location to write to.</param>
-      <param name="value">The value to write.</param>
-      <typeparam name="T">The type of value to write.</typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.WriteUnaligned``1(System.Byte@,``0)">
-      <summary>Writes a value of type <typeparamref name="T">T</typeparamref> to the given location
-without assuming architecture dependent alignment of the addresses.</summary>
-      <param name="destination">The location to write to.</param>
-      <param name="value">The value to write.</param>
-      <typeparam name="T">The type of value to write.</typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.Unsafe.WriteUnaligned``1(System.Void*,``0)">
-      <summary>Writes a value of type <typeparamref name="T">T</typeparamref> to the given location
-without assuming architecture dependent alignment of the addresses.</summary>
-      <param name="destination">The location to write to.</param>
-      <param name="value">The value to write.</param>
-      <typeparam name="T">The type of value to write.</typeparam>
-    </member>
-  </members>
-</doc>
\ No newline at end of file
diff --git a/W/Debug_Folder/System.Threading.Channels.dll b/W/Debug_Folder/System.Threading.Channels.dll
deleted file mode 100644
index cdbf7901f..000000000
Binary files a/W/Debug_Folder/System.Threading.Channels.dll and /dev/null differ
diff --git a/W/Debug_Folder/System.Threading.Channels.xml b/W/Debug_Folder/System.Threading.Channels.xml
deleted file mode 100644
index 1e9482b3b..000000000
--- a/W/Debug_Folder/System.Threading.Channels.xml
+++ /dev/null
@@ -1,217 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?>
-<doc>
-  <assembly>
-    <name>System.Threading.Channels</name>
-  </assembly>
-  <members>
-    <member name="T:System.Threading.Channels.BoundedChannelFullMode">
-      <summary>Specifies the behavior to use when writing to a bounded channel that is already full.</summary>
-    </member>
-    <member name="F:System.Threading.Channels.BoundedChannelFullMode.DropNewest">
-      <summary>Removes and ignores the newest item in the channel in order to make room for the item being written.</summary>
-    </member>
-    <member name="F:System.Threading.Channels.BoundedChannelFullMode.DropOldest">
-      <summary>Removes and ignores the oldest item in the channel in order to make room for the item being written.</summary>
-    </member>
-    <member name="F:System.Threading.Channels.BoundedChannelFullMode.DropWrite">
-      <summary>Drops the item being written.</summary>
-    </member>
-    <member name="F:System.Threading.Channels.BoundedChannelFullMode.Wait">
-      <summary>Waits for space to be available in order to complete the write operation.</summary>
-    </member>
-    <member name="T:System.Threading.Channels.BoundedChannelOptions">
-      <summary>Provides options that control the behavior of bounded <see cref="T:System.Threading.Channels.Channel`1" /> instances.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.BoundedChannelOptions.#ctor(System.Int32)">
-      <summary>Initializes the options.</summary>
-      <param name="capacity">The maximum number of items the bounded channel may store.</param>
-    </member>
-    <member name="P:System.Threading.Channels.BoundedChannelOptions.Capacity">
-      <summary>Gets or sets the maximum number of items the bounded channel may store.</summary>
-    </member>
-    <member name="P:System.Threading.Channels.BoundedChannelOptions.FullMode">
-      <summary>Gets or sets the behavior incurred by write operations when the channel is full.</summary>
-    </member>
-    <member name="T:System.Threading.Channels.Channel">
-      <summary>Provides static methods for creating channels.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.Channel.CreateBounded``1(System.Int32)">
-      <summary>Creates a channel with the specified maximum capacity.</summary>
-      <param name="capacity">The maximum number of items the channel may store.</param>
-      <typeparam name="T">Specifies the type of data in the channel.</typeparam>
-      <returns>The created channel.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.Channel.CreateBounded``1(System.Threading.Channels.BoundedChannelOptions)">
-      <summary>Creates a channel with the specified maximum capacity.</summary>
-      <param name="options">Options that guide the behavior of the channel.</param>
-      <typeparam name="T">Specifies the type of data in the channel.</typeparam>
-      <returns>The created channel.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.Channel.CreateUnbounded``1">
-      <summary>Creates an unbounded channel usable by any number of readers and writers concurrently.</summary>
-      <typeparam name="T">The type of data in the channel.</typeparam>
-      <returns>The created channel.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.Channel.CreateUnbounded``1(System.Threading.Channels.UnboundedChannelOptions)">
-      <summary>Creates an unbounded channel subject to the provided options.</summary>
-      <param name="options">Options that guide the behavior of the channel.</param>
-      <typeparam name="T">Specifies the type of data in the channel.</typeparam>
-      <returns>The created channel.</returns>
-    </member>
-    <member name="T:System.Threading.Channels.Channel`1">
-      <summary>Provides a base class for channels that support reading and writing elements of type <typeparamref name="T" />.</summary>
-      <typeparam name="T">Specifies the type of data readable and writable in the channel.</typeparam>
-    </member>
-    <member name="M:System.Threading.Channels.Channel`1.#ctor">
-      <summary>Initializes an instance of the <see cref="T:System.Threading.Channels.Channel`1" /> class.</summary>
-    </member>
-    <member name="T:System.Threading.Channels.Channel`2">
-      <summary>Provides a base class for channels that support reading elements of type <typeparamref name="TRead" /> and writing elements of type <typeparamref name="TWrite" />.</summary>
-      <typeparam name="TWrite">Specifies the type of data that may be written to the channel.</typeparam>
-      <typeparam name="TRead">Specifies the type of data that may be read from the channel.</typeparam>
-    </member>
-    <member name="M:System.Threading.Channels.Channel`2.#ctor">
-      <summary>Initializes an instance of the <see cref="T:System.Threading.Channels.Channel`2" /> class.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.Channel`2.op_Implicit(System.Threading.Channels.Channel{`0,`1})~System.Threading.Channels.ChannelReader{`1}">
-      <summary>Implicit cast from a <see cref="T:System.Threading.Channels.Channel`2" /> to its readable half.</summary>
-      <param name="channel">The <see cref="T:System.Threading.Channels.Channel`2" /> being cast.</param>
-      <returns>The readable half.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.Channel`2.op_Implicit(System.Threading.Channels.Channel{`0,`1})~System.Threading.Channels.ChannelWriter{`0}">
-      <summary>Implicit cast from a <see cref="T:System.Threading.Channels.Channel`2" /> to its writable half.</summary>
-      <param name="channel">The <see cref="T:System.Threading.Channels.Channel`2" /> being cast.</param>
-      <returns>The writable half.</returns>
-    </member>
-    <member name="P:System.Threading.Channels.Channel`2.Reader">
-      <summary>Gets the readable half of this channel.</summary>
-    </member>
-    <member name="P:System.Threading.Channels.Channel`2.Writer">
-      <summary>Gets the writable half of this channel.</summary>
-    </member>
-    <member name="T:System.Threading.Channels.ChannelClosedException">
-      <summary>Exception thrown when a channel is used after it's been closed.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelClosedException.#ctor">
-      <summary>Initializes a new instance of the <see cref="T:System.Threading.Channels.ChannelClosedException" /> class.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelClosedException.#ctor(System.Exception)">
-      <summary>Initializes a new instance of the <see cref="T:System.Threading.Channels.ChannelClosedException" /> class.</summary>
-      <param name="innerException">The exception that is the cause of this exception.</param>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelClosedException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
-      <summary>Initializes a new instance of the <see cref="T:System.Threading.Channels.ChannelClosedException" /> class with serialized data.</summary>
-      <param name="info">The object that holds the serialized object data.</param>
-      <param name="context">The contextual information about the source or destination.</param>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelClosedException.#ctor(System.String)">
-      <summary>Initializes a new instance of the <see cref="T:System.Threading.Channels.ChannelClosedException" /> class.</summary>
-      <param name="message">The message that describes the error.</param>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelClosedException.#ctor(System.String,System.Exception)">
-      <summary>Initializes a new instance of the <see cref="T:System.Threading.Channels.ChannelClosedException" /> class.</summary>
-      <param name="message">The message that describes the error.</param>
-      <param name="innerException">The exception that is the cause of this exception.</param>
-    </member>
-    <member name="T:System.Threading.Channels.ChannelOptions">
-      <summary>Provides options that control the behavior of channel instances.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelOptions.#ctor">
-      <summary>Initializes an instance of the <see cref="T:System.Threading.Channels.ChannelOptions" /> class.</summary>
-    </member>
-    <member name="P:System.Threading.Channels.ChannelOptions.AllowSynchronousContinuations">
-      <summary>
-        <see langword="true" /> if operations performed on a channel may synchronously invoke continuations subscribed to
-notifications of pending async operations; <see langword="false" /> if all continuations should be invoked asynchronously.</summary>
-    </member>
-    <member name="P:System.Threading.Channels.ChannelOptions.SingleReader">
-      <summary>
-        <see langword="true" /> readers from the channel guarantee that there will only ever be at most one read operation at a time;
-<see langword="false" /> if no such constraint is guaranteed.</summary>
-    </member>
-    <member name="P:System.Threading.Channels.ChannelOptions.SingleWriter">
-      <summary>
-        <see langword="true" /> if writers to the channel guarantee that there will only ever be at most one write operation
-at a time; <see langword="false" /> if no such constraint is guaranteed.</summary>
-    </member>
-    <member name="T:System.Threading.Channels.ChannelReader`1">
-      <summary>Provides a base class for reading from a channel.</summary>
-      <typeparam name="T">Specifies the type of data that may be read from the channel.</typeparam>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelReader`1.#ctor">
-      <summary>Initializes an instance of the <see cref="T:System.Threading.Channels.ChannelReader`1" /> class.</summary>
-    </member>
-    <member name="P:System.Threading.Channels.ChannelReader`1.Completion">
-      <summary>Gets a <see cref="T:System.Threading.Tasks.Task" /> that completes when no more data will ever
-be available to be read from this channel.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelReader`1.ReadAllAsync(System.Threading.CancellationToken)">
-      <summary>Creates an <see cref="T:System.Collections.Generic.IAsyncEnumerable`1" /> that enables reading all of the data from the channel.</summary>
-      <param name="cancellationToken">The cancellation token to use to cancel the enumeration.</param>
-      <returns>The created async enumerable.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelReader`1.ReadAsync(System.Threading.CancellationToken)">
-      <summary>Asynchronously reads an item from the channel.</summary>
-      <param name="cancellationToken">A <see cref="T:System.Threading.CancellationToken" /> used to cancel the read operation.</param>
-      <returns>A <see cref="T:System.Threading.Tasks.ValueTask`1" /> that represents the asynchronous read operation.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelReader`1.TryRead(`0@)">
-      <summary>Attempts to read an item from the channel.</summary>
-      <param name="item">The read item, or a default value if no item could be read.</param>
-      <returns>
-        <see langword="true" /> if an item was read; otherwise, <see langword="false" />.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelReader`1.WaitToReadAsync(System.Threading.CancellationToken)">
-      <summary>Returns a <see cref="T:System.Threading.Tasks.ValueTask`1" /> that will complete when data is available to read.</summary>
-      <param name="cancellationToken">A <see cref="T:System.Threading.CancellationToken" /> used to cancel the wait operation.</param>
-      <returns>A <see cref="T:System.Threading.Tasks.ValueTask`1" /> that will complete with a <see langword="true" /> result when data is available to read
-      or with a <see langword="false" /> result when no further data will ever be available to be read due to the channel completing successfully.
-    If the channel completes with an exception, the task will also complete with an exception.
-.</returns>
-    </member>
-    <member name="T:System.Threading.Channels.ChannelWriter`1">
-      <summary>Provides a base class for writing to a channel.</summary>
-      <typeparam name="T">Specifies the type of data that may be written to the channel.</typeparam>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelWriter`1.#ctor">
-      <summary>Initializes an instance of the <see cref="T:System.Threading.Channels.ChannelWriter`1" /> class.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelWriter`1.Complete(System.Exception)">
-      <summary>Mark the channel as being complete, meaning no more items will be written to it.</summary>
-      <param name="error">Optional Exception indicating a failure that's causing the channel to complete.</param>
-      <exception cref="T:System.InvalidOperationException">The channel has already been marked as complete.</exception>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelWriter`1.TryComplete(System.Exception)">
-      <summary>Attempts to mark the channel as being completed, meaning no more data will be written to it.</summary>
-      <param name="error">An <see cref="T:System.Exception" /> indicating the failure causing no more data to be written, or null for success.</param>
-      <returns>
-        <see langword="true" /> if this operation successfully completes the channel; otherwise, <see langword="false" /> if the channel could not be marked for completion,
-for example due to having already been marked as such, or due to not supporting completion.
-.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelWriter`1.TryWrite(`0)">
-      <summary>Attempts to write the specified item to the channel.</summary>
-      <param name="item">The item to write.</param>
-      <returns>
-        <see langword="true" /> if the item was written; otherwise, <see langword="false" />.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelWriter`1.WaitToWriteAsync(System.Threading.CancellationToken)">
-      <summary>Returns a <see cref="T:System.Threading.Tasks.ValueTask`1" /> that will complete when space is available to write an item.</summary>
-      <param name="cancellationToken">A <see cref="T:System.Threading.CancellationToken" /> used to cancel the wait operation.</param>
-      <returns>A <see cref="T:System.Threading.Tasks.ValueTask`1" /> that will complete with a <see langword="true" /> result when space is available to write an item
-or with a <see langword="false" /> result when no further writing will be permitted.</returns>
-    </member>
-    <member name="M:System.Threading.Channels.ChannelWriter`1.WriteAsync(`0,System.Threading.CancellationToken)">
-      <summary>Asynchronously writes an item to the channel.</summary>
-      <param name="item">The value to write to the channel.</param>
-      <param name="cancellationToken">A <see cref="T:System.Threading.CancellationToken" /> used to cancel the write operation.</param>
-      <returns>A <see cref="T:System.Threading.Tasks.ValueTask" /> that represents the asynchronous write operation.</returns>
-    </member>
-    <member name="T:System.Threading.Channels.UnboundedChannelOptions">
-      <summary>Provides options that control the behavior of unbounded <see cref="T:System.Threading.Channels.Channel`1" /> instances.</summary>
-    </member>
-    <member name="M:System.Threading.Channels.UnboundedChannelOptions.#ctor">
-      <summary>Initializes a new instance of the <see cref="T:System.Threading.Channels.UnboundedChannelOptions" /> class.</summary>
-    </member>
-  </members>
-</doc>
\ No newline at end of file
diff --git a/W/Debug_Folder/System.Threading.Tasks.Extensions.dll b/W/Debug_Folder/System.Threading.Tasks.Extensions.dll
deleted file mode 100644
index eeec92852..000000000
Binary files a/W/Debug_Folder/System.Threading.Tasks.Extensions.dll and /dev/null differ
diff --git a/W/Debug_Folder/System.Threading.Tasks.Extensions.xml b/W/Debug_Folder/System.Threading.Tasks.Extensions.xml
deleted file mode 100644
index 5e02a99d7..000000000
--- a/W/Debug_Folder/System.Threading.Tasks.Extensions.xml
+++ /dev/null
@@ -1,166 +0,0 @@
-<?xml version="1.0" encoding="utf-8"?><doc>
-  <assembly>
-    <name>System.Threading.Tasks.Extensions</name>
-  </assembly>
-  <members>
-    <member name="T:System.Runtime.CompilerServices.ValueTaskAwaiter`1">
-      <typeparam name="TResult"></typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ValueTaskAwaiter`1.GetResult">
-      <returns></returns>
-    </member>
-    <member name="P:System.Runtime.CompilerServices.ValueTaskAwaiter`1.IsCompleted">
-      <returns></returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ValueTaskAwaiter`1.OnCompleted(System.Action)">
-      <param name="continuation"></param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ValueTaskAwaiter`1.UnsafeOnCompleted(System.Action)">
-      <param name="continuation"></param>
-    </member>
-    <member name="T:System.Threading.Tasks.ValueTask`1">
-      <summary>Provides a value type that wraps a <see cref="Task{TResult}"></see> and a <typeparamref name="TResult">TResult</typeparamref>, only one of which is used.</summary>
-      <typeparam name="TResult">The result.</typeparam>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.#ctor(System.Threading.Tasks.Task{`0})">
-      <summary>Initializes a new instance of the <see cref="ValueTask{TResult}"></see> class using the supplied task that represents the operation.</summary>
-      <param name="task">The task.</param>
-      <exception cref="T:System.ArgumentNullException">The <paramref name="task">task</paramref> argument is null.</exception>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.#ctor(`0)">
-      <summary>Initializes a new instance of the <see cref="ValueTask{TResult}"></see> class using the supplied result of a successful operation.</summary>
-      <param name="result">The result.</param>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.AsTask">
-      <summary>Retrieves a <see cref="Task{TResult}"></see> object that represents this <see cref="ValueTask{TResult}"></see>.</summary>
-      <returns>The <see cref="Task{TResult}"></see> object that is wrapped in this <see cref="ValueTask{TResult}"></see> if one exists, or a new <see cref="Task{TResult}"></see> object that represents the result.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.ConfigureAwait(System.Boolean)">
-      <summary>Configures an awaiter for this value.</summary>
-      <param name="continueOnCapturedContext">true to attempt to marshal the continuation back to the captured context; otherwise, false.</param>
-      <returns>The configured awaiter.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.CreateAsyncMethodBuilder">
-      <summary>Creates a method builder for use with an async method.</summary>
-      <returns>The created builder.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.Equals(System.Object)">
-      <summary>Determines whether the specified object is equal to the current object.</summary>
-      <param name="obj">The object to compare with the current object.</param>
-      <returns>true if the specified object is equal to the current object; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.Equals(System.Threading.Tasks.ValueTask{`0})">
-      <summary>Determines whether the specified <see cref="ValueTask{TResult}"></see> object is equal to the current <see cref="ValueTask{TResult}"></see> object.</summary>
-      <param name="other">The object to compare with the current object.</param>
-      <returns>true if the specified object is equal to the current object; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.GetAwaiter">
-      <summary>Creates an awaiter for this value.</summary>
-      <returns>The awaiter.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.GetHashCode">
-      <summary>Returns the hash code for this instance.</summary>
-      <returns>The hash code for the current object.</returns>
-    </member>
-    <member name="P:System.Threading.Tasks.ValueTask`1.IsCanceled">
-      <summary>Gets a value that indicates whether this object represents a canceled operation.</summary>
-      <returns>true if this object represents a canceled operation; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Threading.Tasks.ValueTask`1.IsCompleted">
-      <summary>Gets a value that indicates whether this object represents a completed operation.</summary>
-      <returns>true if this object represents a completed operation; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Threading.Tasks.ValueTask`1.IsCompletedSuccessfully">
-      <summary>Gets a value that indicates whether this object represents a successfully completed operation.</summary>
-      <returns>true if this object represents a successfully completed operation; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Threading.Tasks.ValueTask`1.IsFaulted">
-      <summary>Gets a value that indicates whether this object represents a failed operation.</summary>
-      <returns>true if this object represents a failed operation; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.op_Equality(System.Threading.Tasks.ValueTask{`0},System.Threading.Tasks.ValueTask{`0})">
-      <summary>Compares two values for equality.</summary>
-      <param name="left">The first value to compare.</param>
-      <param name="right">The second value to compare.</param>
-      <returns>true if the two <see cref="ValueTask{TResult}"></see> values are equal; otherwise, false.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.op_Inequality(System.Threading.Tasks.ValueTask{`0},System.Threading.Tasks.ValueTask{`0})">
-      <summary>Determines whether two <see cref="ValueTask{TResult}"></see> values are unequal.</summary>
-      <param name="left">The first value to compare.</param>
-      <param name="right">The seconed value to compare.</param>
-      <returns>true if the two <see cref="ValueTask{TResult}"></see> values are not equal; otherwise, false.</returns>
-    </member>
-    <member name="P:System.Threading.Tasks.ValueTask`1.Result">
-      <summary>Gets the result.</summary>
-      <returns>The result.</returns>
-    </member>
-    <member name="M:System.Threading.Tasks.ValueTask`1.ToString">
-      <summary>Returns a string that represents the current object.</summary>
-      <returns>A string that represents the current object.</returns>
-    </member>
-    <member name="T:System.Runtime.CompilerServices.AsyncMethodBuilderAttribute">
-      
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncMethodBuilderAttribute.#ctor(System.Type)">
-      <param name="builderType"></param>
-    </member>
-    <member name="P:System.Runtime.CompilerServices.AsyncMethodBuilderAttribute.BuilderType">
-      <returns></returns>
-    </member>
-    <member name="T:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1">
-      <typeparam name="TResult"></typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.AwaitOnCompleted``2(``0@,``1@)">
-      <param name="awaiter"></param>
-      <param name="stateMachine"></param>
-      <typeparam name="TAwaiter"></typeparam>
-      <typeparam name="TStateMachine"></typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.AwaitUnsafeOnCompleted``2(``0@,``1@)">
-      <param name="awaiter"></param>
-      <param name="stateMachine"></param>
-      <typeparam name="TAwaiter"></typeparam>
-      <typeparam name="TStateMachine"></typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.Create">
-      <returns></returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.SetException(System.Exception)">
-      <param name="exception"></param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.SetResult(`0)">
-      <param name="result"></param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.SetStateMachine(System.Runtime.CompilerServices.IAsyncStateMachine)">
-      <param name="stateMachine"></param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.Start``1(``0@)">
-      <param name="stateMachine"></param>
-      <typeparam name="TStateMachine"></typeparam>
-    </member>
-    <member name="P:System.Runtime.CompilerServices.AsyncValueTaskMethodBuilder`1.Task">
-      <returns></returns>
-    </member>
-    <member name="T:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1.ConfiguredValueTaskAwaiter">
-      <typeparam name="TResult"></typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1.ConfiguredValueTaskAwaiter.GetResult">
-      <returns></returns>
-    </member>
-    <member name="P:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1.ConfiguredValueTaskAwaiter.IsCompleted">
-      <returns></returns>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1.ConfiguredValueTaskAwaiter.OnCompleted(System.Action)">
-      <param name="continuation"></param>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1.ConfiguredValueTaskAwaiter.UnsafeOnCompleted(System.Action)">
-      <param name="continuation"></param>
-    </member>
-    <member name="T:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1">
-      <typeparam name="TResult"></typeparam>
-    </member>
-    <member name="M:System.Runtime.CompilerServices.ConfiguredValueTaskAwaitable`1.GetAwaiter">
-      <returns></returns>
-    </member>
-  </members>
-</doc>
\ No newline at end of file
diff --git a/W/Debug_Folder/a.pas b/W/Debug_Folder/a.pas
deleted file mode 100644
index b7d054873..000000000
--- a/W/Debug_Folder/a.pas
+++ /dev/null
@@ -1,38 +0,0 @@
-{$reference Microsoft.ML.Core.dll}
-{$reference Microsoft.ML.Data.dll}
-{$reference Microsoft.ML.KMeansClustering.dll}
-
-uses Microsoft.ML;
-uses Microsoft.ML.Data;
-uses Microsoft.ML.Trainers;
-uses Microsoft.ML.Transforms;
- 
-begin
-  var Context := new MLContext();
-  {var loader := Context.Data.CreateTextLoader(
-    Arr(
-        new TextLoader.Column('SentimentText', DataKind.String, 1),
-        new TextLoader.Column('Label', DataKind.Boolean, 0)
-    ));}
-  var fullData := Context.Data.LoadFromTextFile('iris-full.txt',
-    Arr(
-      new TextLoader.Column('Label', DataKind.Single, 0),
-      new TextLoader.Column('SepalLength', DataKind.Single, 1),
-      new TextLoader.Column('SepalWidth', DataKind.Single, 2),
-      new TextLoader.Column('PetalLength', DataKind.Single, 3),
-      new TextLoader.Column('PetalWidth', DataKind.Single, 4)
-    ),
-    #9, True
-  );
-  var trainTestData := Context.Data.TrainTestSplit(fullData, 0.2);
-  var trainingDataView := trainTestData.TrainSet;
-  var testingDataView := trainTestData.TestSet;
-  var dataProcessPipeline := Context.Transforms.Concatenate('Features', 
-    'SepalLength', 'SepalWidth', 'PetalLength', 'PetalWidth');
-  
-  var trainer: IEstimator<ClusteringPredictionTransformer<KMeansModelParameters>>;
-  trainer := Context.Clustering.Trainers.KMeans('Features', nil, 3);
-  //trainer := Context.Clustering.Trainers.KMeans('Features', nil, 3);
-  var trainingPipeline := dataProcessPipeline.Append(trainer);
-  //var trainedModel := trainingPipeline.Fit(trainingDataView);
-end.
\ No newline at end of file
diff --git a/W/Debug_Folder/a1.pas b/W/Debug_Folder/a1.pas
deleted file mode 100644
index c2fc71797..000000000
--- a/W/Debug_Folder/a1.pas
+++ /dev/null
@@ -1,11 +0,0 @@
-{$reference Microsoft.ML.Core.dll}
-{$reference Microsoft.ML.Data.dll}
-{$reference Microsoft.ML.KMeansClustering.dll}
-
-uses Microsoft.ML;
-uses Microsoft.ML.Data;
-uses Microsoft.ML.Trainers;
- 
-begin
-  var trainer: IEstimator<ClusteringPredictionTransformer<KMeansModelParameters>>;
-end.
\ No newline at end of file
diff --git a/W/Debug_Folder/iris-full.txt b/W/Debug_Folder/iris-full.txt
deleted file mode 100644
index 68d136a11..000000000
--- a/W/Debug_Folder/iris-full.txt
+++ /dev/null
@@ -1,152 +0,0 @@
-#Label	Sepal length	Sepal width	Petal length	Petal width
-0	5.1	3.5	1.4	0.2
-0	4.9	3.0	1.4	0.2
-0	4.7	3.2	1.3	0.2
-0	4.6	3.1	1.5	0.2
-0	5.0	3.6	1.4	0.2
-0	5.4	3.9	1.7	0.4
-0	4.6	3.4	1.4	0.3
-0	5.0	3.4	1.5	0.2
-0	4.4	2.9	1.4	0.2
-0	4.9	3.1	1.5	0.1
-0	5.4	3.7	1.5	0.2
-0	4.8	3.4	1.6	0.2
-0	4.8	3.0	1.4	0.1
-0	4.3	3.0	1.1	0.1
-0	5.8	4.0	1.2	0.2
-0	5.7	4.4	1.5	0.4
-0	5.4	3.9	1.3	0.4
-0	5.1	3.5	1.4	0.3
-0	5.7	3.8	1.7	0.3
-0	5.1	3.8	1.5	0.3
-0	5.4	3.4	1.7	0.2
-0	5.1	3.7	1.5	0.4
-0	4.6	3.6	1.0	0.2
-0	5.1	3.3	1.7	0.5
-0	4.8	3.4	1.9	0.2
-0	5.0	3.0	1.6	0.2
-0	5.0	3.4	1.6	0.4
-0	5.2	3.5	1.5	0.2
-0	5.2	3.4	1.4	0.2
-0	4.7	3.2	1.6	0.2
-0	4.8	3.1	1.6	0.2
-0	5.4	3.4	1.5	0.4
-0	5.2	4.1	1.5	0.1
-0	5.5	4.2	1.4	0.2
-0	4.9	3.1	1.5	0.1
-0	5.0	3.2	1.2	0.2
-0	5.5	3.5	1.3	0.2
-0	4.9	3.1	1.5	0.1
-0	4.4	3.0	1.3	0.2
-0	5.1	3.4	1.5	0.2
-0	5.0	3.5	1.3	0.3
-0	4.5	2.3	1.3	0.3
-0	4.4	3.2	1.3	0.2
-0	5.0	3.5	1.6	0.6
-0	5.1	3.8	1.9	0.4
-0	4.8	3.0	1.4	0.3
-0	5.1	3.8	1.6	0.2
-0	4.6	3.2	1.4	0.2
-0	5.3	3.7	1.5	0.2
-0	5.0	3.3	1.4	0.2
-1	7.0	3.2	4.7	1.4
-1	6.4	3.2	4.5	1.5
-1	6.9	3.1	4.9	1.5
-1	5.5	2.3	4.0	1.3
-1	6.5	2.8	4.6	1.5
-1	5.7	2.8	4.5	1.3
-1	6.3	3.3	4.7	1.6
-1	4.9	2.4	3.3	1.0
-1	6.6	2.9	4.6	1.3
-1	5.2	2.7	3.9	1.4
-1	5.0	2.0	3.5	1.0
-1	5.9	3.0	4.2	1.5
-1	6.0	2.2	4.0	1.0
-1	6.1	2.9	4.7	1.4
-1	5.6	2.9	3.6	1.3
-1	6.7	3.1	4.4	1.4
-1	5.6	3.0	4.5	1.5
-1	5.8	2.7	4.1	1.0
-1	6.2	2.2	4.5	1.5
-1	5.6	2.5	3.9	1.1
-1	5.9	3.2	4.8	1.8
-1	6.1	2.8	4.0	1.3
-1	6.3	2.5	4.9	1.5
-1	6.1	2.8	4.7	1.2
-1	6.4	2.9	4.3	1.3
-1	6.6	3.0	4.4	1.4
-1	6.8	2.8	4.8	1.4
-1	6.7	3.0	5.0	1.7
-1	6.0	2.9	4.5	1.5
-1	5.7	2.6	3.5	1.0
-1	5.5	2.4	3.8	1.1
-1	5.5	2.4	3.7	1.0
-1	5.8	2.7	3.9	1.2
-1	6.0	2.7	5.1	1.6
-1	5.4	3.0	4.5	1.5
-1	6.0	3.4	4.5	1.6
-1	6.7	3.1	4.7	1.5
-1	6.3	2.3	4.4	1.3
-1	5.6	3.0	4.1	1.3
-1	5.5	2.5	4.0	1.3
-1	5.5	2.6	4.4	1.2
-1	6.1	3.0	4.6	1.4
-1	5.8	2.6	4.0	1.2
-1	5.0	2.3	3.3	1.0
-1	5.6	2.7	4.2	1.3
-1	5.7	3.0	4.2	1.2
-1	5.7	2.9	4.2	1.3
-1	6.2	2.9	4.3	1.3
-1	5.1	2.5	3.0	1.1
-1	5.7	2.8	4.1	1.3
-2	6.3	3.3	6.0	2.5
-2	5.8	2.7	5.1	1.9
-2	7.1	3.0	5.9	2.1
-2	6.3	2.9	5.6	1.8
-2	6.5	3.0	5.8	2.2
-2	7.6	3.0	6.6	2.1
-2	4.9	2.5	4.5	1.7
-2	7.3	2.9	6.3	1.8
-2	6.7	2.5	5.8	1.8
-2	7.2	3.6	6.1	2.5
-2	6.5	3.2	5.1	2.0
-2	6.4	2.7	5.3	1.9
-2	6.8	3.0	5.5	2.1
-2	5.7	2.5	5.0	2.0
-2	5.8	2.8	5.1	2.4
-2	6.4	3.2	5.3	2.3
-2	6.5	3.0	5.5	1.8
-2	7.7	3.8	6.7	2.2
-2	7.7	2.6	6.9	2.3
-2	6.0	2.2	5.0	1.5
-2	6.9	3.2	5.7	2.3
-2	5.6	2.8	4.9	2.0
-2	7.7	2.8	6.7	2.0
-2	6.3	2.7	4.9	1.8
-2	6.7	3.3	5.7	2.1
-2	7.2	3.2	6.0	1.8
-2	6.2	2.8	4.8	1.8
-2	6.1	3.0	4.9	1.8
-2	6.4	2.8	5.6	2.1
-2	7.2	3.0	5.8	1.6
-2	7.4	2.8	6.1	1.9
-2	7.9	3.8	6.4	2.0
-2	6.4	2.8	5.6	2.2
-2	6.3	2.8	5.1	1.5
-2	6.1	2.6	5.6	1.4
-2	7.7	3.0	6.1	2.3
-2	6.3	3.4	5.6	2.4
-2	6.4	3.1	5.5	1.8
-2	6.0	3.0	4.8	1.8
-2	6.9	3.1	5.4	2.1
-2	6.7	3.1	5.6	2.4
-2	6.9	3.1	5.1	2.3
-2	5.8	2.7	5.1	1.9
-2	6.8	3.2	5.9	2.3
-2	6.7	3.3	5.7	2.5
-2	6.7	3.0	5.2	2.3
-2	6.3	2.5	5.0	1.9
-2	6.5	3.0	5.2	2.0
-2	6.2	3.4	5.4	2.3
-2	5.9	3.0	5.1	1.8
-
diff --git a/bin/GitIgnoreTester.pas b/bin/GitIgnoreTester.pas
index 3fd45caa7..9bbdf002d 100644
--- a/bin/GitIgnoreTester.pas
+++ b/bin/GitIgnoreTester.pas
@@ -11,7 +11,7 @@ end);
 try
   var dir := GetEXEFileName;
   loop 2 do dir := System.IO.Path.GetDirectoryName(dir);
-  dir.Println;
+//  dir.Println;
   
   var index_files := new HashSet<string>;
   begin
diff --git a/bin/ICSharpCode.Core.xml b/bin/ICSharpCode.Core.xml
new file mode 100644
index 000000000..0dc87e541
--- /dev/null
+++ b/bin/ICSharpCode.Core.xml
@@ -0,0 +1,1544 @@
+<?xml version="1.0"?>
+<doc>
+    <assembly>
+        <name>ICSharpCode.Core</name>
+    </assembly>
+    <members>
+        <member name="P:ICSharpCode.Core.AddIn.CustomErrorMessage">
+            <summary>
+            Gets the message of a custom load error. Used only when AddInAction is set to CustomError.
+            Settings this property to a non-null value causes Enabled to be set to false and
+            Action to be set to AddInAction.CustomError.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddIn.Action">
+            <summary>
+            Action to execute when the application is restarted.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddIn.IsPreinstalled">
+            <summary>
+            Gets whether the AddIn is a preinstalled component of the host application.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInLoadException">
+            <summary>
+            Exception used when loading an AddIn fails.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.BuildItemArgs">
+            <summary>
+            Argument class used for <see cref="M:ICSharpCode.Core.IDoozer.BuildItem(ICSharpCode.Core.BuildItemArgs)"/>.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.BuildItemArgs.Caller">
+            <summary>
+            The caller passed to <see cref="M:ICSharpCode.Core.AddInTree.BuildItem(System.String,System.Object)"/>.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.BuildItemArgs.Codon">
+            <summary>
+            The codon to build.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.BuildItemArgs.AddIn">
+            <summary>
+            The addin containing the codon.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.BuildItemArgs.Conditions">
+            <summary>
+            The conditions applied to this item.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.BuildItemArgs.SubItemNode">
+            <summary>
+            The addin tree node containing the sub-items.
+            Returns null if no sub-items exist.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.BuildItemArgs.BuildSubItems``1">
+            <summary>
+            Builds the sub-items.
+            Conditions on this node are also applied to the sub-nodes.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.Codon">
+            <summary>
+            Represents a node in the add in tree that can produce an item.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.NegatedCondition">
+            <summary>
+            Negates a condition
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AndCondition">
+            <summary>
+            Gives back the and result of two conditions.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.OrCondition">
+            <summary>
+            Gives back the or result of two conditions.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.Condition.Action">
+            <summary>
+            Returns the action which occurs, when this condition fails.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ExtensionPath">
+            <summary>
+            Represents all contributions to a Path in a single .addin file.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.ExtensionPath.GroupedCodons">
+            <summary>
+            Gets the codons separated by the groups they were created in.
+            i.e. if two addins add the codons to the same path they will be in diffrent group.
+            if the same addin adds the codon in diffrent path elements they will be in diffrent groups.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.IConditionEvaluator">
+            <summary>
+            Interface for classes that can evaluate conditions defined in the addin tree.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ConditionFailedAction">
+            <summary>
+            Default actions, when a condition is failed.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ICondition">
+            <summary>
+            Interface for single condition or complex condition.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.ICondition.Action">
+            <summary>
+            Returns the action which occurs, when this condition fails.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.ICondition.IsValid(System.Object)">
+            <summary>
+            Returns true, when the condition is valid otherwise false.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.IDoozer">
+            <summary>
+            Interface for classes that can build objects out of codons.
+            </summary>
+            <remarks>http://en.wikipedia.org/wiki/Fraggle_Rock#Doozers</remarks>
+        </member>
+        <member name="P:ICSharpCode.Core.IDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.IDoozer.BuildItem(ICSharpCode.Core.BuildItemArgs)">
+            <summary>
+            Construct the item.
+            </summary>
+            <returns>
+            The constructed item.
+            May return an object implementing <see cref="T:ICSharpCode.Core.IBuildItemsModifier"/> for returning
+            multiple arguments.
+            </returns>
+        </member>
+        <member name="M:ICSharpCode.Core.Runtime.Load">
+            <summary>
+            Force loading the runtime assembly now.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.CompareConditionEvaluator">
+            <summary>
+            Compares two strings.
+            The strings are passed through the StringParser, so it is possible to compare
+            SharpDevelop properties.<br/>
+            Useful if you want to run a command only when a setting is active to prevent
+            loading your addin if that setting isn't set.
+            </summary>
+            <attribute name="string">
+            The first string.
+            </attribute>
+            <attribute name="equals">
+            The second string.
+            </attribute>
+            <attribute name="comparisonType">
+            The mode of the comparison: a field of the System.StringComparison enumeration. The default is
+            'OrdinalIgnoreCase'.
+            </attribute>
+            <example title="Check the value of a property in the PropertyService">
+            &lt;Condition name = "Compare" string = "${property:SharpDevelop.FiletypesRegisterStartup}" equals = "True"&gt;
+            </example>
+        </member>
+        <member name="T:ICSharpCode.Core.LazyConditionEvaluator">
+            <summary>
+            Condition evaluator that lazy-loads another condition evaluator and executes it.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.OwnerStateConditionEvaluator">
+            <summary>
+            Condition evaluator that compares the state of the caller/owner with a specified value.
+            The caller/owner has to implement <see cref="T:ICSharpCode.Core.IOwnerState"/>.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ClassDoozer">
+            <summary>
+            Creates object instances by invocating a type's parameterless constructor
+            via System.Reflection.
+            </summary>
+            <attribute name="class" use="required">
+            The fully qualified type name of the class to create an instace of.
+            </attribute>
+            <usage>Everywhere where objects are expected.</usage>
+            <returns>
+            Any kind of object.
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.ClassDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.FileFilterDoozer">
+            <summary>
+            Creates file filter entries for OpenFileDialogs or SaveFileDialogs.
+            </summary>
+            <attribute name="name" use="required">
+            The name of the file filter entry.
+            </attribute>
+            <attribute name="extensions" use="required">
+            The extensions associated with this file filter entry.
+            </attribute>
+            <usage>Only in /SharpDevelop/Workbench/FileFilter</usage>
+            <returns>
+            <see cref="T:ICSharpCode.Core.FileFilterDescriptor"/> in the format "name|extensions".
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.FileFilterDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileFilterDescriptor.ContainsExtension(System.String)">
+            <summary>
+            Gets whether this descriptor matches the specified file extension.
+            </summary>
+            <param name="extension">File extension starting with '.'</param>
+        </member>
+        <member name="T:ICSharpCode.Core.IconDoozer">
+            <summary>
+            Creates associations between file types or node types in the project browser and
+            icons in the resource service.
+            </summary>
+            <attribute name="resource" use="required">
+            The name of a bitmap resource in the resource service.
+            </attribute>
+            <attribute name="language">
+            This attribute is specified when a project icon association should be created.
+            It specifies the language of the project types that use the icon.
+            </attribute>
+            <attribute name="extensions">
+            This attribute is specified when a file icon association should be created.
+            It specifies the semicolon-separated list of file types that use the icon.
+            </attribute>
+            <usage>Only in /Workspace/Icons</usage>
+            <returns>
+            An IconDescriptor object that exposes the attributes.
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.IconDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.LazyLoadDoozer">
+            <summary>
+            This doozer lazy-loads another doozer when it has to build an item.
+            It is used internally to wrap doozers specified in addins.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.LazyLoadDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.MenuItemDoozer">
+            <summary>
+            Creates menu items from a location in the addin tree.
+            </summary>
+            <attribute name="label" use="required">
+            Label of the menu item.
+            </attribute>
+            <attribute name="type" use="optional" enum="Separator;CheckBox;Item;Command;Menu;Builder">
+            This attribute must be one of these values:
+            Separator, CheckBox, Item=Command, Menu (=with subitems),
+            Builder (=class implementing ISubmenuBuilder).
+            Default: Command.
+            </attribute>
+            <attribute name="loadclasslazy" use="optional">
+            Only for the type "Item"/"Command".
+            When set to false, the command class is loaded
+            immediately instead of the usual lazy-loading.
+            </attribute>
+            <attribute name="icon" use="optional">
+            Icon of the menu item.
+            </attribute>
+            <attribute name="class" use="optional">
+            Command class that is run when item is clicked.
+            </attribute>
+            <attribute name="command" use="optional">
+            A WPF routed command that is executed when item is clicked.
+            Currently, this property is supported only for WPF Menus.
+            Only one of the "class" and "command" attributes can be used on a menu entry.
+            </attribute>
+            <attribute name="link" use="optional">
+            Only for the type "Item"/"Command". Opens a webpage instead of running a command when
+            clicking the item.
+            </attribute>
+            <attribute name="shortcut" use="optional">
+            Shortcut that activates the command (e.g. "Control|S").
+            </attribute>
+            <children childTypes="MenuItem">
+            If "type" is "Menu", the item can have sub-menuitems.
+            </children>
+            <usage>Any menu strip paths or context menu paths, e.g. /SharpDevelop/Workbench/MainMenu</usage>
+            <returns>
+            A MenuItemDescriptor object.
+            </returns>
+            <conditions>Conditions are handled by the item, "Exclude" maps to "Visible = false", "Disable" to "Enabled = false"</conditions>
+        </member>
+        <member name="P:ICSharpCode.Core.MenuItemDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.MenuItemDescriptor">
+            <summary>
+            Represents a menu item. These objects are created by the MenuItemDoozer and
+            then converted into GUI-toolkit-specific objects by the MenuService.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ToolbarItemDoozer">
+            <summary>
+            Creates tool bar items from a location in the addin tree.
+            </summary>
+            <attribute name="label" use="optional">
+            Label of the tool bar item.
+            </attribute>
+            <attribute name="icon" use="optional">
+            Icon of the tool bar item.
+            </attribute>
+            <attribute name="type" use="optional" enum="Separator;CheckBox;Item;ComboBox;DropDownButton">
+            This attribute must be one of these values:
+            Separator, CheckBox, Item, ComboBox, DropDownButton
+            </attribute>
+            <attribute name="loadclasslazy" use="optional">
+            Only for the type "Item". When set to false, the command class is loaded
+            immediately instead of the usual lazy-loading.
+            </attribute>
+            <attribute name="tooltip" use="optional">
+            Tooltip of the tool bar item.
+            </attribute>
+            <attribute name="class">
+            Command class that is run when item is clicked; or class that manages
+            the ComboBox/DropDownButton. Required for everything except "Separator".
+            </attribute>
+            <attribute name="shortcut" use="optional">
+            Shortcut that activates the command (e.g. "Control|S").
+            </attribute>
+            <usage>Any toolbar strip paths, e.g. /SharpDevelop/Workbench/ToolBar</usage>
+            <children childTypes="MenuItem">A drop down button has menu items as sub elements.</children>
+            <returns>
+            A ToolStrip* object, depending on the type attribute.
+            </returns>
+            <conditions>Conditions are handled by the item, "Exclude" maps to "Visible = false", "Disable" to "Enabled = false"</conditions>
+        </member>
+        <member name="P:ICSharpCode.Core.ToolbarItemDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ToolbarItemDescriptor">
+            <summary>
+            Represents a toolbar item. These objects are created by the ToolbarItemDoozer and
+            then converted into GUI-toolkit-specific objects by the ToolbarService.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInTree">
+            <summary>
+            Static class containing the AddInTree. Contains methods for accessing tree nodes and building items.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInTree.AddIns">
+            <summary>
+            Gets the list of loaded AddIns.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInTree.Doozers">
+            <summary>
+            Gets a dictionary of registered doozers.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInTree.ConditionEvaluators">
+            <summary>
+            Gets a dictionary of registered condition evaluators.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.ExistsTreeNode(System.String)">
+            <summary>
+            Checks whether the specified path exists in the AddIn tree.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.GetTreeNode(System.String)">
+            <summary>
+            Gets the <see cref="T:ICSharpCode.Core.AddInTreeNode"/> representing the specified path.
+            This method throws a <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/> when the
+            path does not exist.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.GetTreeNode(System.String,System.Boolean)">
+            <summary>
+            Gets the <see cref="T:ICSharpCode.Core.AddInTreeNode"/> representing the specified path.
+            </summary>
+            <param name="path">The path of the AddIn tree node</param>
+            <param name="throwOnNotFound">
+            If set to <c>true</c>, this method throws a
+            <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/> when the path does not exist.
+            If set to <c>false</c>, <c>null</c> is returned for non-existing paths.
+            </param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.BuildItem(System.String,System.Object)">
+            <summary>
+            Builds a single item in the addin tree.
+            </summary>
+            <param name="path">A path to the item in the addin tree.</param>
+            <param name="caller">The owner used to create the objects.</param>
+            <exception cref="T:ICSharpCode.Core.TreePathNotFoundException">The path does not
+            exist or does not point to an item.</exception>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.BuildItems``1(System.String,System.Object)">
+            <summary>
+            Builds the items in the path. Ensures that all items have the type T.
+            Throws a <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/> if the path is not found.
+            </summary>
+            <param name="path">A path in the addin tree.</param>
+            <param name="caller">The owner used to create the objects.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.BuildItems``1(System.String,System.Object,System.Boolean)">
+            <summary>
+            Builds the items in the path. Ensures that all items have the type T.
+            </summary>
+            <param name="path">A path in the addin tree.</param>
+            <param name="caller">The owner used to create the objects.</param>
+            <param name="throwOnNotFound">If true, throws a <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/>
+            if the path is not found. If false, an empty ArrayList is returned when the
+            path is not found.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.InsertAddIn(ICSharpCode.Core.AddIn)">
+            <summary>
+            The specified AddIn is added to the <see cref="P:ICSharpCode.Core.AddInTree.AddIns"/> collection.
+            If the AddIn is enabled, its doozers, condition evaluators and extension
+            paths are added to the AddInTree and its resources are added to the
+            <see cref="T:ICSharpCode.Core.ResourceService"/>.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.RemoveAddIn(ICSharpCode.Core.AddIn)">
+            <summary>
+            The specified AddIn is removed to the <see cref="P:ICSharpCode.Core.AddInTree.AddIns"/> collection.
+            This is only possible for disabled AddIns, enabled AddIns require
+            a restart of the application to be removed.
+            </summary>
+            <exception cref="T:System.ArgumentException">Occurs when trying to remove an enabled AddIn.</exception>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTree.Load(System.Collections.Generic.List{System.String},System.Collections.Generic.List{System.String})">
+            <summary>
+            Loads a list of .addin files, ensuring that dependencies are satisfied.
+            This method is normally called by <see cref="M:ICSharpCode.Core.CoreStartup.RunInitialization"/>.
+            </summary>
+            <param name="addInFiles">
+            The list of .addin file names to load.
+            </param>
+            <param name="disabledAddIns">
+            The list of disabled AddIn identity names.
+            </param>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInTreeNode">
+            <summary>
+            Represents an extension path in the <see cref="T:ICSharpCode.Core.AddInTree"/>.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInTreeNode.ChildNodes">
+            <summary>
+            A dictionary containing the child paths.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInTreeNode.Codons">
+            <summary>
+            A list of child <see cref="T:ICSharpCode.Core.Codon"/>s.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTreeNode.BuildChildItems``1(System.Object,System.Collections.Generic.IEnumerable{ICSharpCode.Core.ICondition})">
+            <summary>
+            Builds the child items in this path. Ensures that all items have the type T.
+            </summary>
+            <param name="caller">The owner used to create the objects.</param>
+            <param name="additionalConditions">Additional conditions applied to the node.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTreeNode.BuildChildItems(System.Object)">
+            <summary>
+            Builds the child items in this path.
+            </summary>
+            <param name="caller">The owner used to create the objects.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInTreeNode.BuildChildItem(System.String,System.Object,System.Collections.Generic.IEnumerable{ICSharpCode.Core.ICondition})">
+            <summary>
+            Builds a specific child items in this path.
+            </summary>
+            <param name="childItemID">
+            The ID of the child item to build.
+            </param>
+            <param name="caller">The owner used to create the objects.</param>
+            <param name="additionalConditions">Additional conditions applied to the created object</param>
+            <exception cref="T:ICSharpCode.Core.TreePathNotFoundException">
+            Occurs when <paramref name="childItemID"/> does not exist in this path.
+            </exception>
+        </member>
+        <member name="T:ICSharpCode.Core.TopologicalSort">
+            <summary>
+            Supports sorting codons using InsertBefore/InsertAfter
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.TreePathNotFoundException">
+            <summary>
+            Is thrown when the AddInTree could not find the requested path.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.TreePathNotFoundException.#ctor(System.String)">
+            <summary>
+            Constructs a new <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/>
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.TreePathNotFoundException.#ctor">
+            <summary>
+            Constructs a new <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/>
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.TreePathNotFoundException.#ctor(System.String,System.Exception)">
+            <summary>
+            Constructs a new <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/>
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.TreePathNotFoundException.#ctor(System.Runtime.Serialization.SerializationInfo,System.Runtime.Serialization.StreamingContext)">
+            <summary>
+            Deserializes a <see cref="T:ICSharpCode.Core.TreePathNotFoundException"/>
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.CoreException">
+            <summary>
+            Base class for exceptions thrown by the SharpDevelop core.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.ExtensionMethods.Flatten``1(System.Collections.Generic.IEnumerable{``0},System.Func{``0,System.Collections.Generic.IEnumerable{``0}})">
+            <summary>
+            Converts a recursive data structure into a flat list.
+            </summary>
+            <param name="input">The root elements of the recursive data structure.</param>
+            <param name="recursion">The function that gets the children of an element.</param>
+            <returns>Iterator that enumerates the tree structure in preorder.</returns>
+        </member>
+        <member name="T:ICSharpCode.Core.IAnalyticsMonitorTrackedFeature">
+            <summary>
+            Allows marking the end-time of feature uses.
+            </summary>
+            <remarks>Implementations of this interface must be thread-safe.</remarks>
+        </member>
+        <member name="T:ICSharpCode.Core.AnalyticsMonitorService">
+            <summary>
+            Allows tracking feature use.
+            All methods on this class are thread-safe.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AnalyticsMonitorService.TrackException(System.Exception)">
+            <summary>
+            Tracks an exception that has occurred.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AnalyticsMonitorService.TrackFeature(System.String)">
+            <summary>
+            Tracks a feature use.
+            </summary>
+            <param name="featureName">Name of the feature</param>
+            <returns>Object that can be used to 'end' the feature use, if measuring time spans is desired.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.AnalyticsMonitorService.TrackFeature(System.String,System.String)">
+            <summary>
+            Tracks a feature use.
+            </summary>
+            <param name="featureName">Name of the feature</param>
+            <param name="activationMethod">Method used to 'activate' the feature (e.g. Menu, Toolbar, Shortcut, etc.)</param>
+            <returns>Object that can be used to 'end' the feature use, if measuring time spans is desired.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.AnalyticsMonitorService.TrackFeature(System.Type,System.String,System.String)">
+            <summary>
+            Tracks a feature use.
+            </summary>
+            <param name="featureClass">Class containing the feature</param>
+            <param name="featureName">Name of the feature</param>
+            <param name="activationMethod">Method used to 'activate' the feature (e.g. Menu, Toolbar, Shortcut, etc.)</param>
+            <returns>Object that can be used to 'end' the feature use, if measuring time spans is desired.</returns>
+        </member>
+        <member name="T:ICSharpCode.Core.Services.IAnalyticsMonitor">
+            <summary>
+            Interface for AnalyticsMonitorService.
+            </summary>
+            <remarks>Implementations of this interface must be thread-safe.</remarks>
+        </member>
+        <member name="T:ICSharpCode.Core.Services.TextWriterLoggingService">
+            <summary>
+            LoggingService implementation that logs into a TextWriter.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.Services.TextWriterMessageService">
+            <summary>
+            IMessageService implementation that writes messages to a text writer.
+            User input is not implemented by this service.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.Services.IMessageService">
+            <summary>
+            Interface for the MessageService.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.ShowError(System.String)">
+            <summary>
+            Shows an error.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.ShowException(System.Exception,System.String)">
+            <summary>
+            Shows an exception.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.ShowWarning(System.String)">
+            <summary>
+            Shows a warning message.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.AskQuestion(System.String,System.String)">
+            <summary>
+            Asks the user a Yes/No question, using "Yes" as the default button.
+            Returns <c>true</c> if yes was clicked, <c>false</c> if no was clicked.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.ShowCustomDialog(System.String,System.String,System.Int32,System.Int32,System.String[])">
+            <summary>
+            Shows a custom dialog.
+            </summary>
+            <param name="caption">The title of the dialog.</param>
+            <param name="dialogText">The description shown in the dialog.</param>
+            <param name="acceptButtonIndex">
+            The number of the button that is the default accept button.
+            Use -1 if you don't want to have an accept button.
+            </param>
+            <param name="cancelButtonIndex">
+            The number of the button that is the cancel button.
+            Use -1 if you don't want to have a cancel button.
+            </param>
+            <param name="buttontexts">The captions of the buttons.</param>
+            <returns>The number of the button that was clicked, or -1 if the dialog was closed  without clicking a button.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.InformSaveError(System.String,System.String,System.String,System.Exception)">
+            <summary>
+            Show a message informing the user about a save error.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.IMessageService.ChooseSaveError(System.String,System.String,System.String,System.Exception,System.Boolean)">
+            <summary>
+            Show a message informing the user about a save error,
+            and allow him to retry/save under alternative name.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.Services.ServiceManager">
+            <summary>
+            Maintains a list of services that can be shutdown in the reverse order of their initialization.
+            Maintains references to the core service implementations.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.Services.ServiceManager.Instance">
+            <summary>
+            Gets the static ServiceManager instance.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.ServiceManager.GetService(System.Type)">
+            <summary>
+            Gets a service. Returns null if service is not found.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.ServiceManager.GetService``1">
+            <summary>
+            Gets a service. Returns null if service is not found.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.ServiceManager.GetRequiredService(System.Type)">
+            <summary>
+            Gets a service. Throws an exception if service is not found.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.Services.ServiceManager.GetRequiredService``1">
+            <summary>
+            Gets a service. Throws an exception if service is not found.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.Services.ServiceManager.LoggingService">
+            <summary>
+            Gets the logging service.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.Services.ServiceManager.MessageService">
+            <summary>
+            Gets the message service.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ApplicationStateInfoService">
+            <summary>
+            This service is used to summarize important information
+            about the state of the application when an exception occurs.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.ApplicationStateInfoService.RegisterStateGetter(System.String,ICSharpCode.Core.StateGetter)">
+            <summary>
+            Registers a new method to be invoked to get information about the current state of the application.
+            </summary>
+            <param name="title">The title of the new state entry.</param>
+            <param name="stateGetter">The method to be invoked to get the state value.</param>
+            <exception cref="T:System.ArgumentNullException">The <paramref name="title"/> is null.</exception>
+            <exception cref="T:System.ArgumentException">A state getter with the specified <paramref name="title"/> is already registered.</exception>
+        </member>
+        <member name="M:ICSharpCode.Core.ApplicationStateInfoService.IsRegistered(System.String)">
+            <summary>
+            Determines whether a state getter with the specified title is already registered.
+            </summary>
+            <param name="title">The title to look for.</param>
+            <returns><c>true</c>, if a state getter with the specified title is already registered, otherwise <c>false</c>.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.ApplicationStateInfoService.UnregisterStateGetter(System.String)">
+            <summary>
+            Unregisters a state getter.
+            </summary>
+            <param name="title">The title of the state entry to remove.</param>
+            <returns><c>true</c> if the specified title was found and removed, otherwise <c>false</c>.</returns>
+            <exception cref="T:System.ArgumentNullException">The <paramref name="title"/> is null.</exception>
+        </member>
+        <member name="M:ICSharpCode.Core.ApplicationStateInfoService.GetCurrentApplicationStateInfo">
+            <summary>
+            Gets a snapshot of the current application state information from all registered state getters.
+            </summary>
+            <returns>A dictionary with the titles and results of all registered state getters.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.ApplicationStateInfoService.AppendFormatted(System.Text.StringBuilder)">
+            <summary>
+            Appends the current application state information from all registered state getters
+            to the specified <see cref="T:System.Text.StringBuilder"/>.
+            </summary>
+            <param name="sb">The <see cref="T:System.Text.StringBuilder"/> to append the state information to.</param>
+        </member>
+        <member name="T:ICSharpCode.Core.StateGetter">
+            <summary>
+            A delegate used to get information about the current state of the application.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.FileName">
+            <summary>
+            Represents a directory path or filename.
+            The equality operator is overloaded to compare for path equality (case insensitive, normalizing paths with '..\')
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileName.Create(System.String)">
+            <summary>
+            Creates a FileName instance from the string.
+            It is valid to pass null or an empty string to this method (in that case, a null reference will be returned).
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.FileNameEventArgs">
+            <summary>
+            EventArgs with a file name.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.FileUtility">
+            <summary>
+            A utility class related to file utilities.
+            </summary>
+            <summary>
+            A minimal version of FileUtility. Is used by ICSharpCode.SharpDevelop.Dom (which doesn't reference
+            ICSharpCode.Core)
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.NetFrameworkInstallRoot">
+            <summary>
+            Gets the installation root of the .NET Framework (@"C:\Windows\Microsoft.NET\Framework\")
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.NetSdk20InstallRoot">
+            <summary>
+            Location of the .NET 2.0 SDK install root.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.WindowsSdk60InstallRoot">
+            <summary>
+            Location of the .NET 3.0 SDK (Windows SDK 6.0) install root.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.WindowsSdk60aInstallRoot">
+            <summary>
+            Location of the Windows SDK Components in Visual Studio 2008 (.NET 3.5; Windows SDK 6.0a).
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.WindowsSdk61InstallRoot">
+            <summary>
+            Location of the .NET 3.5 SDK (Windows SDK 6.1) install root.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.WindowsSdk70InstallRoot">
+            <summary>
+            Location of the .NET 3.5 SP1 SDK (Windows SDK 7.0) install root.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.FileUtility.WindowsSdk71InstallRoot">
+            <summary>
+            Location of the .NET 4.0 SDK (Windows SDK 7.1) install root.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.GetSdkPath(System.String)">
+            <summary>
+            Searches all the .net sdk bin folders and return the path of the
+            exe from the latest sdk.
+            </summary>
+            <param name="exeName">The EXE to search for.</param>
+            <returns>The path of the executable, or null if the exe is not found.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.GetRelativePath(System.String,System.String)">
+            <summary>
+            Converts a given absolute path and a given base path to a path that leads
+            from the base path to the absoulte path. (as a relative path)
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.GetAbsolutePath(System.String,System.String)">
+            <summary>
+            Combines baseDirectoryPath with relPath and normalizes the resulting path.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.SearchDirectoryInternal(System.String,System.String,System.Boolean,System.Boolean)">
+            <summary>
+            Finds all files which are valid to the mask <paramref name="filemask"/> in the path
+            <paramref name="directory"/> and all subdirectories
+            (if <paramref name="searchSubdirectories"/> is true).
+            If <paramref name="ignoreHidden"/> is true, hidden files and folders are ignored.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.IsValidPath(System.String)">
+            <summary>
+            This method checks if a path (full or relative) is valid.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.IsValidDirectoryName(System.String)">
+            <summary>
+            Checks that a single directory name (not the full path) is valid.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.IsValidDirectoryEntryName(System.String)">
+            <summary>
+            Checks that a single directory name (not the full path) is valid.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.FileUtility.NormalizePath(System.String)">
+            <summary>
+            Gets the normalized version of fileName.
+            Slashes are replaced with backslashes, backreferences "." and ".." are 'evaluated'.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.MessageService">
+            <summary>
+            Class with static methods to show message boxes.
+            All text displayed using the MessageService is passed to the
+            <see cref="T:ICSharpCode.Core.StringParser"/> to replace ${res} markers.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowException(System.Exception)">
+            <summary>
+            Shows an exception error.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowError(System.String)">
+            <summary>
+            Shows an error using a message box.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowErrorFormatted(System.String,System.Object[])">
+            <summary>
+            Shows an error using a message box.
+            <paramref name="formatstring"/> is first passed through the
+            <see cref="T:ICSharpCode.Core.StringParser"/>,
+            then through <see cref="M:System.String.Format(System.String,System.Object)"/>, using the formatitems as arguments.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowException(System.Exception,System.String)">
+            <summary>
+            Shows an exception.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowHandledException(System.Exception)">
+            <summary>
+            Shows an exception.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowHandledException(System.Exception,System.String)">
+            <summary>
+            Shows an exception.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowWarning(System.String)">
+            <summary>
+            Shows a warning message.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowWarningFormatted(System.String,System.Object[])">
+            <summary>
+            Shows a warning message.
+            <paramref name="formatstring"/> is first passed through the
+            <see cref="T:ICSharpCode.Core.StringParser"/>,
+            then through <see cref="M:System.String.Format(System.String,System.Object)"/>, using the formatitems as arguments.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.AskQuestion(System.String,System.String)">
+            <summary>
+            Asks the user a Yes/No question, using "Yes" as the default button.
+            Returns <c>true</c> if yes was clicked, <c>false</c> if no was clicked.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.AskQuestion(System.String)">
+            <summary>
+            Asks the user a Yes/No question, using "Yes" as the default button.
+            Returns <c>true</c> if yes was clicked, <c>false</c> if no was clicked.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowCustomDialog(System.String,System.String,System.Int32,System.Int32,System.String[])">
+            <summary>
+            Shows a custom dialog.
+            </summary>
+            <param name="caption">The title of the dialog.</param>
+            <param name="dialogText">The description shown in the dialog.</param>
+            <param name="acceptButtonIndex">
+            The number of the button that is the default accept button.
+            Use -1 if you don't want to have an accept button.
+            </param>
+            <param name="cancelButtonIndex">
+            The number of the button that is the cancel button.
+            Use -1 if you don't want to have a cancel button.
+            </param>
+            <param name="buttontexts">The captions of the buttons.</param>
+            <returns>The number of the button that was clicked, or -1 if the dialog was closed  without clicking a button.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.MessageService.ShowCustomDialog(System.String,System.String,System.String[])">
+            <summary>
+            Shows a custom dialog.
+            </summary>
+            <param name="caption">The title of the dialog.</param>
+            <param name="dialogText">The description shown in the dialog.</param>
+            <param name="buttontexts">The captions of the buttons.</param>
+            <returns>The number of the button that was clicked.</returns>
+        </member>
+        <member name="P:ICSharpCode.Core.MessageService.ProductName">
+            <summary>
+            Gets/Sets the name of the product using ICSharpCode.Core.
+            Is used by the string parser as replacement for ${ProductName}.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.MessageService.DefaultMessageBoxTitle">
+            <summary>
+            Gets/Sets the default title for message boxes displayed
+            by the message service.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.IMementoCapable">
+            <summary>
+            This interface flags an object beeing "mementocapable". This means that the
+            state of the object could be saved to an <see cref="T:ICSharpCode.Core.Properties"/> object
+            and set from a object from the same class.
+            This is used to save and restore the state of GUI objects.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.IMementoCapable.CreateMemento">
+            <summary>
+            Creates a new memento from the state.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.IMementoCapable.SetMemento(ICSharpCode.Core.Properties)">
+            <summary>
+            Sets the state to the given memento.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.Properties">
+            <summary>
+            Description of PropertyGroup.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.Properties.SerializedValue">
+            <summary> Needed for support of late deserialization </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.PropertyChangedEventArgs.Properties">
+            <returns>
+            returns the changed property object
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.PropertyChangedEventArgs.Key">
+            <returns>
+            The key of the changed property
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.PropertyChangedEventArgs.NewValue">
+            <returns>
+            The new value of the property
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.PropertyChangedEventArgs.OldValue">
+            <returns>
+            The new value of the property
+            </returns>
+        </member>
+        <member name="M:ICSharpCode.Core.PropertyService.LockPropertyFile">
+            <summary>
+            Acquires an exclusive lock on the properties file so that it can be opened safely.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.RegistryService">
+            <summary>
+            RegistryService.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.RegistryService.GetRegistryValue``1(Microsoft.Win32.RegistryHive,System.String,System.String,Microsoft.Win32.RegistryValueKind,``0@)">
+            <summary>
+            Gets the registry value.
+            </summary>
+            <param name="hive">Registry hive.</param>
+            <param name="key">Registry key.</param>
+            <param name="value">Registry value.</param>
+            <param name="kind">Registry kind.</param>
+            <param name="data">Data.</param>
+            <returns>True, if the data was found, False otherwise.</returns>
+        </member>
+        <member name="T:ICSharpCode.Core.ResourceNotFoundException">
+            <summary>
+            Is thrown when the GlobalResource manager can't find a requested
+            resource.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ResourceService">
+            <summary>
+            This Class contains two ResourceManagers, which handle string and image resources
+            for the application. It do handle localization strings on this level.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.ResourceService.strings">
+            <summary>English strings (list of resource managers)</summary>
+        </member>
+        <member name="F:ICSharpCode.Core.ResourceService.icons">
+            <summary>Neutral/English images (list of resource managers)</summary>
+        </member>
+        <member name="F:ICSharpCode.Core.ResourceService.localStrings">
+            <summary>Hashtable containing the local strings from the main application.</summary>
+        </member>
+        <member name="F:ICSharpCode.Core.ResourceService.localStringsResMgrs">
+            <summary>Strings resource managers for the current language</summary>
+        </member>
+        <member name="F:ICSharpCode.Core.ResourceService.localIconsResMgrs">
+            <summary>Image resource managers for the current language</summary>
+        </member>
+        <member name="F:ICSharpCode.Core.ResourceService.resourceAssemblies">
+            <summary>List of ResourceAssembly</summary>
+        </member>
+        <member name="M:ICSharpCode.Core.ResourceService.RegisterStrings(System.String,System.Reflection.Assembly)">
+            <summary>
+            Registers string resources in the resource service.
+            </summary>
+            <param name="baseResourceName">The base name of the resource file embedded in the assembly.</param>
+            <param name="assembly">The assembly which contains the resource file.</param>
+            <example><c>ResourceService.RegisterStrings("TestAddin.Resources.StringResources", GetType().Assembly);</c></example>
+        </member>
+        <member name="M:ICSharpCode.Core.ResourceService.RegisterImages(System.String,System.Reflection.Assembly)">
+            <summary>
+            Registers image resources in the resource service.
+            </summary>
+            <param name="baseResourceName">The base name of the resource file embedded in the assembly.</param>
+            <param name="assembly">The assembly which contains the resource file.</param>
+            <example><c>ResourceService.RegisterImages("TestAddin.Resources.BitmapResources", GetType().Assembly);</c></example>
+        </member>
+        <member name="M:ICSharpCode.Core.ResourceService.GetString(System.String)">
+            <summary>
+            Returns a string from the resource database, it handles localization
+            transparent for the user.
+            </summary>
+            <returns>
+            The string in the (localized) resource database.
+            </returns>
+            <param name="name">
+            The name of the requested resource.
+            </param>
+            <exception cref="T:ICSharpCode.Core.ResourceNotFoundException">
+            Is thrown when the GlobalResource manager can't find a requested resource.
+            </exception>
+        </member>
+        <member name="T:ICSharpCode.Core.ServiceNotFoundException">
+            <summary>
+            Is thrown when the ServiceManager cannot find a required service.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.PropertyObjectTagProvider">
+            <summary>
+            Provides properties by using Reflection on an object.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.StringParser">
+            <summary>
+            This class parses internal ${xyz} tags of #Develop.
+            All environment variables are avaible under the name env.[NAME]
+            where [NAME] represents the string under which it is avaiable in
+            the environment.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.StringParser.Parse(System.String)">
+            <summary>
+            Expands ${xyz} style property values.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.StringParser.Parse(System.String[])">
+            <summary>
+            Parses an array and replaces the elements in the existing array.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.StringParser.Parse(System.String,ICSharpCode.Core.StringTagPair[])">
+            <summary>
+            Expands ${xyz} style property values.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.StringParser.Parse(System.String,System.String[0:,0:])">
+            <summary>
+            For new code, please use the overload taking StringTagPair[]!
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.StringParser.GetValue(System.String,ICSharpCode.Core.StringTagPair[])">
+            <summary>
+            Evaluates a property using the StringParser. Equivalent to StringParser.Parse("${" + propertyName + "}");
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.StringParser.GetProperty(System.String)">
+            <summary>
+            Allow special syntax to retrieve property values:
+            ${property:PropertyName}
+            ${property:PropertyName??DefaultValue}
+            ${property:ContainerName/PropertyName}
+            ${property:ContainerName/PropertyName??DefaultValue}
+            A container is a Properties instance stored in the PropertyService. This is
+            used by many AddIns to group all their properties into one container.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AbstractCommand">
+            <summary>
+            Abstract implementation of the <see cref="T:ICSharpCode.Core.ICommand"/> interface.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AbstractCommand.Owner">
+            <summary>
+            Returns the owner of the command.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AbstractCommand.Run">
+            <summary>
+            Invokes the command.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.CallbackOnDispose">
+            <summary>
+            Invokes a callback when this class is disposed.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.DebugTextWriter">
+            <summary>
+            TextWriter that writes into System.Diagnostics.Debug
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.ICommand">
+            <summary>
+            A basic command interface. A command has simply an owner which "runs" the command
+            and a Run method which invokes the command.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.ICommand.Owner">
+            <summary>
+            Returns the owner of the command.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.ICommand.Run">
+            <summary>
+            Invokes the command.
+            </summary>
+        </member>
+        <member name="E:ICSharpCode.Core.ICommand.OwnerChanged">
+            <summary>
+            Is called when the Owner property is changed.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.IBuildItemsModifier">
+            <summary>
+            When a <see cref="T:ICSharpCode.Core.IDoozer">doozer</see> returns an object implementing
+            this interface, the <see cref="M:ICSharpCode.Core.IBuildItemsModifier.Apply(System.Collections.IList)"/> method is called on the list of items
+            that has been built.
+            This interface can be used to support special <see cref="T:ICSharpCode.Core.IDoozer">doozers</see>
+            that do not simply build one item but want to modify the list of items built so far.
+            Example use is the <see cref="T:ICSharpCode.Core.IncludeDoozer"/> which uses this interface to return
+            multiple items instead of one.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.IncludeDoozer">
+            <summary>
+            Includes one or multiple items from another location in the addin tree.
+            You can use the attribute "item" (to include a single item) OR the
+            attribute "path" (to include all items from the target path).
+            </summary>
+            <attribute name="item">
+            When this attribute is used, the include doozer builds the item that is at the
+            addin tree location specified by this attribute.
+            </attribute>
+            <attribute name="path">
+            When this attribute is used, the include doozer builds all items inside the
+            path addin tree location specified by this attribute and returns an
+            <see cref="T:ICSharpCode.Core.IBuildItemsModifier"/> which includes all items in the output list.
+            </attribute>
+            <usage>Everywhere</usage>
+            <returns>
+            Any object, depending on the included codon(s).
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.IncludeDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.LoggingService">
+            <summary>
+            Class for easy logging.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInManifest">
+            <summary>
+            Stores information about the manifest of an AddIn.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInReference">
+            <summary>
+            Represents a versioned reference to an AddIn. Used by <see cref="T:ICSharpCode.Core.AddInManifest"/>.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInReference.Check(System.Collections.Generic.Dictionary{System.String,System.Version},System.Version@)">
+            <returns>Returns true when the reference is valid.</returns>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInReference.CompareVersion(System.Version,System.Version)">
+            <summary>
+            Compares two versions and ignores unspecified fields (unlike Version.CompareTo)
+            </summary>
+            <returns>-1 if a &lt; b, 0 if a == b, 1 if a &gt; b</returns>
+        </member>
+        <member name="T:ICSharpCode.Core.CoreStartup">
+            <summary>
+            Class that helps starting up ICSharpCode.Core.
+            </summary>
+            <remarks>
+            Initializing ICSharpCode.Core requires initializing several static classes
+            and the <see cref="T:ICSharpCode.Core.AddInTree"/>. <see cref="T:ICSharpCode.Core.CoreStartup"/> does this work
+            for you, provided you use it like this:
+            1. Create a new CoreStartup instance
+            2. (Optional) Set the values of the properties.
+            3. Call <see cref="M:ICSharpCode.Core.CoreStartup.StartCoreServices"/>.
+            4. Add "preinstalled" AddIns using <see cref="M:ICSharpCode.Core.CoreStartup.AddAddInsFromDirectory(System.String)"/>
+               and <see cref="M:ICSharpCode.Core.CoreStartup.AddAddInFile(System.String)"/>.
+            5. (Optional) Call <see cref="M:ICSharpCode.Core.CoreStartup.ConfigureExternalAddIns(System.String)"/> to support
+               disabling AddIns and installing external AddIns
+            6. (Optional) Call <see cref="M:ICSharpCode.Core.CoreStartup.ConfigureUserAddIns(System.String,System.String)"/> to support installing
+               user AddIns.
+            7. Call <see cref="M:ICSharpCode.Core.CoreStartup.RunInitialization"/>.
+            </remarks>
+        </member>
+        <member name="P:ICSharpCode.Core.CoreStartup.PropertiesName">
+            <summary>
+            Sets the name used for the properties (only name, without path or extension).
+            Must be set before StartCoreServices() is called.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.CoreStartup.ConfigDirectory">
+            <summary>
+            Sets the directory name used for the property service.
+            Must be set before StartCoreServices() is called.
+            Use null to use the default path "%ApplicationData%\%ApplicationName%",
+            where %ApplicationData% is the system setting for
+            "c:\documents and settings\username\application data"
+            and %ApplicationName% is the application name you used in the
+            CoreStartup constructor call.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.CoreStartup.DataDirectory">
+            <summary>
+            Sets the data directory used to load resources.
+            Must be set before StartCoreServices() is called.
+            Use null to use the default path "ApplicationRootPath\data".
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.#ctor(System.String)">
+            <summary>
+            Creates a new CoreStartup instance.
+            </summary>
+            <param name="applicationName">
+            The name of your application.
+            This is used as default title for message boxes,
+            default name for the configuration directory etc.
+            </param>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.AddAddInsFromDirectory(System.String)">
+            <summary>
+            Find AddIns by searching all .addin files recursively in <paramref name="addInDir"/>.
+            The AddIns that were found are added to the list of AddIn files to load.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.AddAddInFile(System.String)">
+            <summary>
+            Add the specified .addin file to the list of AddIn files to load.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.ConfigureExternalAddIns(System.String)">
+            <summary>
+            Use the specified configuration file to store information about
+            disabled AddIns and external AddIns.
+            You have to call this method to support the <see cref="T:ICSharpCode.Core.AddInManager"/>.
+            </summary>
+            <param name="addInConfigurationFile">
+            The name of the file used to store the list of disabled AddIns
+            and the list of installed external AddIns.
+            A good value for this parameter would be
+            <c>Path.Combine(<see cref="P:ICSharpCode.Core.PropertyService.ConfigDirectory"/>, "AddIns.xml")</c>.
+            </param>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.ConfigureUserAddIns(System.String,System.String)">
+            <summary>
+            Configures user AddIn support.
+            </summary>
+            <param name="addInInstallTemp">
+            The AddIn installation temporary directory.
+            ConfigureUserAddIns will install the AddIns from this directory and
+            store the parameter value in <see cref="P:ICSharpCode.Core.AddInManager.AddInInstallTemp"/>.
+            </param>
+            <param name="userAddInPath">
+            The path where user AddIns are installed to.
+            AddIns from this directory will be loaded.
+            </param>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.RunInitialization">
+            <summary>
+            Initializes the AddIn system.
+            This loads the AddIns that were added to the list,
+            then it executes the <see cref="T:ICSharpCode.Core.ICommand">commands</see>
+            in <c>/Workspace/Autostart</c>.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.CoreStartup.StartCoreServices">
+            <summary>
+            Starts the core services.
+            This initializes the PropertyService and ResourceService.
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInAction">
+            <summary>
+              Specifies the action to be taken for a specific <see cref="T:ICSharpCode.Core.AddIn"/>.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.Enable">
+            <summary>
+              Enable the <see cref="T:ICSharpCode.Core.AddIn"/>.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.Disable">
+            <summary>
+                Disable the <see cref="T:ICSharpCode.Core.AddIn"/>.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.Install">
+            <summary>
+                Install the <see cref="T:ICSharpCode.Core.AddIn"/>.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.Uninstall">
+            <summary>
+                Uninstall the <see cref="T:ICSharpCode.Core.AddIn"/>.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.Update">
+            <summary>
+                Update the <see cref="T:ICSharpCode.Core.AddIn"/>.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.InstalledTwice">
+            <summary>
+            The <see cref="T:ICSharpCode.Core.AddIn"/> is disabled because it has been installed
+            twice (duplicate identity).
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.DependencyError">
+            <summary>
+                Tells that the <see cref="T:ICSharpCode.Core.AddIn"/> cannot be loaded because not all dependencies are satisfied.
+            </summary>
+        </member>
+        <member name="F:ICSharpCode.Core.AddInAction.CustomError">
+            <summary>
+            A custom error has occurred (e.g. the AddIn disabled itself using a condition).
+            </summary>
+        </member>
+        <member name="T:ICSharpCode.Core.AddInManager">
+            <summary>
+            Manages all actions performed on <see cref="T:ICSharpCode.Core.AddIn"/>s.
+            An AddInManager GUI can use the methods here to install/update/uninstall
+            <see cref="T:ICSharpCode.Core.AddIn"/>s.
+            
+            There are three types of AddIns:
+            - Preinstalled AddIns (added by host application) -> can only be disabled
+            - External AddIns -> can be added, disabled and removed
+            	Removing external AddIns only removes the reference to the .addin file
+                but does not delete the AddIn.
+            - User AddIns -> are installed to UserAddInPath, can be installed, disabled
+                and uninstalled
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInManager.UserAddInPath">
+            <summary>
+            Gets or sets the user addin path.
+            This is the path where user AddIns are installed to.
+            This property is normally initialized by <see cref="M:ICSharpCode.Core.CoreStartup.ConfigureUserAddIns(System.String,System.String)"/>.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInManager.AddInInstallTemp">
+            <summary>
+            Gets or sets the addin install temporary directory.
+            This is a directory used to store AddIns that should be installed on
+            the next start of the application.
+            This property is normally initialized by <see cref="M:ICSharpCode.Core.CoreStartup.ConfigureUserAddIns(System.String,System.String)"/>.
+            </summary>
+        </member>
+        <member name="P:ICSharpCode.Core.AddInManager.ConfigurationFileName">
+            <summary>
+            Gets or sets the full name of the configuration file.
+            In this file, the AddInManager stores the list of disabled AddIns
+            and the list of installed external AddIns.
+            This property is normally initialized by <see cref="M:ICSharpCode.Core.CoreStartup.ConfigureExternalAddIns(System.String)"/>.
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.InstallAddIns(System.Collections.Generic.List{System.String})">
+            <summary>
+            Installs the AddIns from AddInInstallTemp to the UserAddInPath.
+            In case of installation errors, a error message is displayed to the user
+            and the affected AddIn is added to the disabled list.
+            This method is normally called by <see cref="M:ICSharpCode.Core.CoreStartup.ConfigureUserAddIns(System.String,System.String)"/>
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.RemoveUserAddInOnNextStart(System.String)">
+            <summary>
+            Uninstalls the user addin on next start.
+            <see cref="M:ICSharpCode.Core.AddInManager.RemoveUserAddInOnNextStart(System.String)"/> schedules the AddIn for
+            deinstallation, you can unschedule it using
+            <see cref="M:ICSharpCode.Core.AddInManager.AbortRemoveUserAddInOnNextStart(System.String)"/>
+            </summary>
+            <param name="identity">The identity of the addin to remove.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.AbortRemoveUserAddInOnNextStart(System.String)">
+            <summary>
+            Prevents a user AddIn from being uninstalled.
+            <see cref="M:ICSharpCode.Core.AddInManager.RemoveUserAddInOnNextStart(System.String)"/> schedules the AddIn for
+            deinstallation, you can unschedule it using
+            <see cref="M:ICSharpCode.Core.AddInManager.AbortRemoveUserAddInOnNextStart(System.String)"/>
+            </summary>
+            <param name="identity">The identity of which to abort the removal.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.AddExternalAddIns(System.Collections.Generic.IList{ICSharpCode.Core.AddIn})">
+            <summary>
+            Adds the specified external AddIns to the list of registered external
+            AddIns.
+            </summary>
+            <param name="addIns">
+            The list of AddIns to add. (use <see cref="T:ICSharpCode.Core.AddIn"/> instances
+            created by <see cref="M:ICSharpCode.Core.AddIn.Load(System.IO.TextReader,System.String,System.Xml.XmlNameTable)"/>).
+            </param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.RemoveExternalAddIns(System.Collections.Generic.IList{ICSharpCode.Core.AddIn})">
+            <summary>
+            Removes the specified external AddIns from the list of registered external
+            AddIns.
+            </summary>
+            The list of AddIns to remove.
+            (use external AddIns from the <see cref="P:ICSharpCode.Core.AddInTree.AddIns"/> collection).
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.Enable(System.Collections.Generic.IList{ICSharpCode.Core.AddIn})">
+            <summary>
+            Marks the specified AddIns as enabled (will take effect after
+            next application restart).
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.Disable(System.Collections.Generic.IList{ICSharpCode.Core.AddIn})">
+            <summary>
+            Marks the specified AddIns as disabled (will take effect after
+            next application restart).
+            </summary>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.LoadAddInConfiguration(System.Collections.Generic.List{System.String},System.Collections.Generic.List{System.String})">
+            <summary>
+            Loads a configuration file.
+            The 'file' from XML elements in the form "&lt;AddIn file='full path to .addin file'&gt;" will
+            be added to <paramref name="addInFiles"/>, the 'addin' element from
+            "&lt;Disable addin='addin identity'&gt;" will be added to <paramref name="disabledAddIns"/>,
+            all other XML elements are ignored.
+            </summary>
+            <param name="addInFiles">File names of external AddIns are added to this collection.</param>
+            <param name="disabledAddIns">Identities of disabled addins are added to this collection.</param>
+        </member>
+        <member name="M:ICSharpCode.Core.AddInManager.SaveAddInConfiguration(System.Collections.Generic.List{System.String},System.Collections.Generic.List{System.String})">
+            <summary>
+            Saves the AddIn configuration in the format expected by
+            <see cref="M:ICSharpCode.Core.AddInManager.LoadAddInConfiguration(System.Collections.Generic.List{System.String},System.Collections.Generic.List{System.String})"/>.
+            </summary>
+            <param name="addInFiles">List of file names of external AddIns.</param>
+            <param name="disabledAddIns">List of Identities of disabled addins.</param>
+        </member>
+        <member name="T:ICSharpCode.Core.StringDoozer">
+            <summary>
+            Creates a string.
+            </summary>
+            <attribute name="text" use="required">
+            The string to return.
+            </attribute>
+            <returns>
+            The string specified by 'text', passed through the StringParser.
+            </returns>
+        </member>
+        <member name="P:ICSharpCode.Core.StringDoozer.HandleConditions">
+            <summary>
+            Gets if the doozer handles codon conditions on its own.
+            If this property return false, the item is excluded when the condition is not met.
+            </summary>
+        </member>
+    </members>
+</doc>
diff --git a/bin/Lib/ABCObjects.xml b/bin/Lib/ABCObjects.xml
new file mode 100644
index 000000000..d08279a25
--- /dev/null
+++ b/bin/Lib/ABCObjects.xml
@@ -0,0 +1,567 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+  <unit name="ABCObjects">Модуль реализует векторные графические объекты с возможностью масштабирования, наложения друг на друга, 
+создания составных графических объектов и многократного их вложения друг в друга. 
+Каждый векторный графический объект перерисовывает себя при перемещении, изменении размеров 
+и частичном перекрытии другими объектами.</unit>
+  <members>
+    <member name="T:ContainerABC">
+      <summary>Контейнер графических объектов. Сам является графическим объектом</summary>
+    </member>
+    <member name="M:ContainerABC.#ctor(System.Int32,System.Int32)">
+      <summary>Создает пустой контейнер графических объектов в позиции (x,y)
+Для его наполнения следует использовать метод Add. Координаты всех помещаемых 
+в него графических объектов пересчитываются относительно точки (x,y)</summary>
+    </member>
+    <member name="M:ContainerABC.#ctor(ABCObjects.ContainerABC)">
+      <summary>Создает контейнер графических объектов - копию контейнера графических объектов g</summary>
+    </member>
+    <member name="M:ContainerABC.Add(ABCObjects.ObjectABC)">
+      <summary>Добавляет в контейнер графический объект g</summary>
+    </member>
+    <member name="M:ContainerABC.Remove(ABCObjects.ObjectABC)">
+      <summary>Удаляет из контейнера графический объект g</summary>
+    </member>
+    <member name="M:ContainerABC.UnLink(ABCObjects.ObjectABC)">
+      <summary>Отсоединяет от контейнера графический объект g. 
+Объект g перестает иметь владельца и продолжает отображаться на экране в той же позиции</summary>
+    </member>
+    <member name="M:ContainerABC.PtInside(System.Int32,System.Int32)">
+      <summary>Принадлежит ли точка внутренности одного из графических объектов в контейнере</summary>
+    </member>
+    <member name="M:ContainerABC.Clone0">
+      <summary>Возвращает клон контейнера графических объектов</summary>
+    </member>
+    <member name="M:ContainerABC.Clone">
+      <summary>Возвращает клон контейнера графических объектов</summary>
+    </member>
+    <member name="P:ContainerABC.Count">
+      <summary>Количество графических объектов в контейнере</summary>
+    </member>
+    <member name="P:ContainerABC.Objects">
+      <summary>Массив графических объектов в контейнере</summary>
+    </member>
+    <member name="T:ObjectABC">
+      <summary>Базовый класс для всех графических объектов</summary>
+    </member>
+    <member name="M:ObjectABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает графический объект размера (w,h) цвета cl с координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:ObjectABC.#ctor(ABCObjects.ObjectABC)">
+      <summary>Создает графический объект - копию объекта g</summary>
+    </member>
+    <member name="M:ObjectABC.Destroy">
+      <summary>Уничтожает графический объект</summary>
+    </member>
+    <member name="M:ObjectABC.MoveTo(System.Int32,System.Int32)">
+      <summary>Перемещает левый верхний угол графического объекта к точке (x,y)</summary>
+    </member>
+    <member name="M:ObjectABC.MoveOn(System.Int32,System.Int32)">
+      <summary>Перемещает графический объект на вектор (a,b)</summary>
+    </member>
+    <member name="M:ObjectABC.Move">
+      <summary>Перемещает графический объект на вектор, задаваемый свойствами dx,dy</summary>
+    </member>
+    <member name="M:ObjectABC.Scale(System.Double)">
+      <summary>Масштабирует графический объект в f раз (f&gt;1 - увеличение, 0&lt;f&lt;1 - уменьшение)</summary>
+    </member>
+    <member name="M:ObjectABC.ToFront">
+      <summary>Переносит графический объект на передний план</summary>
+    </member>
+    <member name="M:ObjectABC.ToBack">
+      <summary>Переносит графический объект на задний план</summary>
+    </member>
+    <member name="M:ObjectABC.Bounds">
+      <summary>Возвращает прямоугольник, определяющий границы графического объекта</summary>
+    </member>
+    <member name="M:ObjectABC.PtInside(System.Int32,System.Int32)">
+      <summary>Возвращает True, если точка (x,y) находится внутри графического объекта, и False в противном случае</summary>
+    </member>
+    <member name="M:ObjectABC.Intersect(ABCObjects.ObjectABC)">
+      <summary>Возвращает True, если изображение данного графического объекта пересекается с изображением 
+графического объекта g, и False в противном случае. Белый цвет считается прозрачным и не принадлежащим объекту</summary>
+    </member>
+    <member name="M:ObjectABC.IntersectRect(System.Drawing.Rectangle)">
+      <summary>Возвращает True, если прямоугольник графического объекта пересекается прямоугольником r, и False в противном случае</summary>
+    </member>
+    <member name="M:ObjectABC.Clone0">
+      <summary>Возвращает клон графического объекта</summary>
+    </member>
+    <member name="M:ObjectABC.Clone">
+      <summary>Возвращает клон графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.Left">
+      <summary>Отступ графического объекта от левого края</summary>
+    </member>
+    <member name="P:ObjectABC.Top">
+      <summary>Отступ графического объекта от верхнего края</summary>
+    </member>
+    <member name="P:ObjectABC.Width">
+      <summary>Ширина графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.Height">
+      <summary>Высота графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.dx">
+      <summary>x-координата вектора перемещения объекта при вызове метода Move.
+По умолчанию установлено в 0. Для неподвижных объектов может быть использовано 
+для хранения любой дополнительной информации, связанной с объектом</summary>
+    </member>
+    <member name="P:ObjectABC.dy">
+      <summary>y-координата вектора перемещения объекта при вызове метода Move.
+По умолчанию установлено в 0. Для неподвижных объектов может быть использовано 
+для хранения любой дополнительной информации, связанной с объектом</summary>
+    </member>
+    <member name="P:ObjectABC.Center">
+      <summary>Центр графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.Position">
+      <summary>Левый верхний угол графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.Visible">
+      <summary>Видим ли  графический объект</summary>
+    </member>
+    <member name="P:ObjectABC.Color">
+      <summary>Цвет графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.FontColor">
+      <summary>Цвет шрифта графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.Text">
+      <summary>Текст внутри графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.TextVisible">
+      <summary>Видимость текста внутри графического объекта</summary>
+    </member>
+    <member name="P:ObjectABC.TextScale">
+      <summary>Масштаб текста относительно размеров графического объекта,  0&lt;=TextScale&lt;=1. 
+При TextScale=1 текст занимает всю ширину или высоту объекта. По умолчанию TextScale=0.8</summary>
+    </member>
+    <member name="P:ObjectABC.FontName">
+      <summary>Имя шрифта для вывода свойства Text</summary>
+    </member>
+    <member name="P:ObjectABC.FontStyle">
+      <summary>Стиль шрифта для вывода свойства Text</summary>
+    </member>
+    <member name="P:ObjectABC.Number">
+      <summary>Целое число, выводимое в центре графического объекта. Для вывода используется свойство Text</summary>
+    </member>
+    <member name="P:ObjectABC.RealNumber">
+      <summary>Вещественное число, выводимое в центре графического объекта. Для вывода используется свойство Text.
+Вещественное число выводится с одним знаком после десятичной точки</summary>
+    </member>
+    <member name="P:ObjectABC.Owner">
+      <summary>Владелец графического объекта, ответственный также за перерисовку графического объекта внутри себя (по умолчанию nil)</summary>
+    </member>
+    <member name="T:BoundedObjectABC">
+      <summary>Базовый класс для всех замкнутых графических объектов</summary>
+    </member>
+    <member name="M:BoundedObjectABC.SetDrawSettings">
+      <summary>Устанавливает атрибуты пера и кисти перед рисованием</summary>
+    </member>
+    <member name="M:BoundedObjectABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает замкнутый графический объект размера (w,h) цвета cl с координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:BoundedObjectABC.#ctor(ABCObjects.BoundedObjectABC)">
+      <summary>Создает замкнутый графический объект - копию объекта g</summary>
+    </member>
+    <member name="P:BoundedObjectABC.BorderColor">
+      <summary>Цвет границы</summary>
+    </member>
+    <member name="P:BoundedObjectABC.BorderWidth">
+      <summary>Ширина границы</summary>
+    </member>
+    <member name="P:BoundedObjectABC.Filled">
+      <summary>Заполнена ли внутренность объекта (по умолчанию True)</summary>
+    </member>
+    <member name="P:BoundedObjectABC.Bordered">
+      <summary>Имеет ли объект границу (по умолчанию True)</summary>
+    </member>
+    <member name="T:RectangleABC">
+      <summary>Класс графических объектов "Прямоугольник"</summary>
+    </member>
+    <member name="M:RectangleABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает прямоугольник размера (w,h) цвета cl с координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:RectangleABC.#ctor(ABCObjects.RectangleABC)">
+      <summary>Создает прямоугольник - копию прямоугольника g</summary>
+    </member>
+    <member name="M:RectangleABC.Clone0">
+      <summary>Возвращает клон прямоугольника</summary>
+    </member>
+    <member name="M:RectangleABC.Clone">
+      <summary>Возвращает клон прямоугольника</summary>
+    </member>
+    <member name="T:SquareABC">
+      <summary>Класс графических объектов "Квадрат"</summary>
+    </member>
+    <member name="M:SquareABC.#ctor(System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает квадрат размера w цвета cl с координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:SquareABC.#ctor(ABCObjects.SquareABC)">
+      <summary>Создает квадрат - копию квадрата g</summary>
+    </member>
+    <member name="M:SquareABC.Scale(System.Double)">
+      <summary>Масштабирует квадрат в f раз (f&gt;1 - увеличение, 0&lt;f&lt;1 - уменьшение)</summary>
+    </member>
+    <member name="M:SquareABC.Clone0">
+      <summary>Возвращает клон квадрата</summary>
+    </member>
+    <member name="M:SquareABC.Clone">
+      <summary>Возвращает клон квадрата</summary>
+    </member>
+    <member name="T:EllipseABC">
+      <summary>Класс графических объектов "Эллипс"</summary>
+    </member>
+    <member name="M:EllipseABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает эллипс размера (w,h) цвета cl с координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:EllipseABC.#ctor(ABCObjects.EllipseABC)">
+      <summary>Создает эллипс - копию эллипса g</summary>
+    </member>
+    <member name="M:EllipseABC.Clone0">
+      <summary>Возвращает клон эллипса</summary>
+    </member>
+    <member name="M:EllipseABC.Clone">
+      <summary>Возвращает клон эллипса</summary>
+    </member>
+    <member name="T:CircleABC">
+      <summary>Класс графических объектов "Круг"</summary>
+    </member>
+    <member name="M:CircleABC.#ctor(System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает круг радиуса r цвета cl с координатами центра (x,y)</summary>
+    </member>
+    <member name="M:CircleABC.#ctor(ABCObjects.CircleABC)">
+      <summary>Создает круг - копию круга g</summary>
+    </member>
+    <member name="M:CircleABC.Scale(System.Double)">
+      <summary>Масштабирует круг в f раз (f&gt;1 - увеличение, 0&lt;f&lt;1 - уменьшение)</summary>
+    </member>
+    <member name="M:CircleABC.Clone0">
+      <summary>Возвращает клон круга</summary>
+    </member>
+    <member name="M:CircleABC.Clone">
+      <summary>Возвращает клон круга</summary>
+    </member>
+    <member name="P:CircleABC.Radius">
+      <summary>Радиус круга</summary>
+    </member>
+    <member name="T:RoundRectABC">
+      <summary>Класс графических объектов "Прямоугольник со скругленными краями"</summary>
+    </member>
+    <member name="M:RoundRectABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает прямоугольник со скругленными краями размера (w,h), цветом cl, радиусом скругления r и координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:RoundRectABC.#ctor(ABCObjects.RoundRectABC)">
+      <summary>Создает прямоугольник со скругленными краями - копию прямоугольника со скругленными краями g</summary>
+    </member>
+    <member name="M:RoundRectABC.Clone0">
+      <summary>Возвращает клон прямоугольника со скругленными краями</summary>
+    </member>
+    <member name="M:RoundRectABC.Clone">
+      <summary>Возвращает клон прямоугольника со скругленными краями</summary>
+    </member>
+    <member name="P:RoundRectABC.Radius">
+      <summary>Радиус скругления углов</summary>
+    </member>
+    <member name="T:RoundSquareABC">
+      <summary>Класс графических объектов "Квадрат со скругленными краями"</summary>
+    </member>
+    <member name="M:RoundSquareABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает квадрат со скругленными краями размера w, цвета cl с радиусом скругления r и координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:RoundSquareABC.#ctor(ABCObjects.RoundSquareABC)">
+      <summary>Создает квадрат со скругленными краями - копию квадрата со скругленными краями g</summary>
+    </member>
+    <member name="M:RoundSquareABC.Scale(System.Double)">
+      <summary>Масштабирует квадрат в f раз (f&gt;1 - увеличение, 0&lt;f&lt;1 - уменьшение)</summary>
+    </member>
+    <member name="M:RoundSquareABC.Clone0">
+      <summary>Возвращает клон квадрата со скругленными краями</summary>
+    </member>
+    <member name="M:RoundSquareABC.Clone">
+      <summary>Возвращает клон квадрата со скругленными краями</summary>
+    </member>
+    <member name="T:TextABC">
+      <summary>Класс графических объектов "Текст"</summary>
+    </member>
+    <member name="M:TextABC.#ctor(System.Int32,System.Int32,System.Int32,System.String,System.Drawing.Color)">
+      <summary>Создает текстовый объект с текстом txt размера pt пунктов, цветом cl и координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:TextABC.#ctor(ABCObjects.TextABC)">
+      <summary>Создает текстовый объект - копию текстового объекта g</summary>
+    </member>
+    <member name="M:TextABC.Clone0">
+      <summary>Возвращает клон текстового объекта</summary>
+    </member>
+    <member name="M:TextABC.Clone">
+      <summary>Возвращает клон текстового объекта</summary>
+    </member>
+    <member name="P:TextABC.FontSize">
+      <summary>Размер шрифта в пунктах</summary>
+    </member>
+    <member name="P:TextABC.TransparentBackground">
+      <summary>Прозрачен ли фон текстового объекта</summary>
+    </member>
+    <member name="P:TextABC.BackgroundColor">
+      <summary>Цвет фона текстового объекта</summary>
+    </member>
+    <member name="T:RegularPolygonABC">
+      <summary>Класс графических объектов "Правильный многоугольник"</summary>
+    </member>
+    <member name="M:RegularPolygonABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает правильный многоугольник с nn вершинами, радиусом r, цветом cl и координатами центра (x,y)</summary>
+    </member>
+    <member name="M:RegularPolygonABC.#ctor(ABCObjects.RegularPolygonABC)">
+      <summary>Создает правильный многоугольник - копию правильного многоугольника g</summary>
+    </member>
+    <member name="M:RegularPolygonABC.PtInside(System.Int32,System.Int32)">
+      <summary>Находится ли точка (x,y) внутри правильного многоугольника</summary>
+    </member>
+    <member name="M:RegularPolygonABC.Scale(System.Double)">
+      <summary>Масштабирует правильный многоугольник в f раз (f&gt;1 - увеличение, 0&lt;f&lt;1 - уменьшение)</summary>
+    </member>
+    <member name="M:RegularPolygonABC.Clone0">
+      <summary>Возвращает клон правильного многоугольника</summary>
+    </member>
+    <member name="M:RegularPolygonABC.Clone">
+      <summary>Возвращает клон правильного многоугольника</summary>
+    </member>
+    <member name="P:RegularPolygonABC.Count">
+      <summary>Количество вершин правильного многоугольника</summary>
+    </member>
+    <member name="P:RegularPolygonABC.Radius">
+      <summary>Радиус правильного многоугольника</summary>
+    </member>
+    <member name="P:RegularPolygonABC.Angle">
+      <summary>Угол поворота (в градусах)</summary>
+    </member>
+    <member name="T:StarABC">
+      <summary>Класс графических объектов "Звезда"</summary>
+    </member>
+    <member name="M:StarABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает звезду с nn вершинами, радиусом r, внутренним радиусом r1, цветом cl и координатами центра (x,y)</summary>
+    </member>
+    <member name="M:StarABC.#ctor(ABCObjects.StarABC)">
+      <summary>Создает звезду - копию звезды g</summary>
+    </member>
+    <member name="M:StarABC.PtInside(System.Int32,System.Int32)">
+      <summary>Принадлежит ли точка внутренности объекта</summary>
+    </member>
+    <member name="M:StarABC.Scale(System.Double)">
+      <summary>Масштабирует звезду в f раз (f&gt;1 - увеличение, 0&lt;f&lt;1 - уменьшение)</summary>
+    </member>
+    <member name="M:StarABC.Clone0">
+      <summary>Возвращает клон звезды</summary>
+    </member>
+    <member name="M:StarABC.Clone">
+      <summary>Возвращает клон звезды</summary>
+    </member>
+    <member name="P:StarABC.InternalRadius">
+      <summary>Внутренний радиус</summary>
+    </member>
+    <member name="T:PictureABC">
+      <summary>Класс графических объектов "Рисунок"</summary>
+    </member>
+    <member name="M:PictureABC.#ctor(System.Int32,System.Int32,System.String)">
+      <summary>Создает рисунок с координатами левого верхнего угла (x,y), считывая его из файла fname</summary>
+    </member>
+    <member name="M:PictureABC.#ctor(System.Int32,System.Int32,GraphABC.Picture)">
+      <summary>Создает рисунок с координатами левого верхнего угла (x,y), считывая его из объекта p</summary>
+    </member>
+    <member name="M:PictureABC.#ctor(ABCObjects.PictureABC)">
+      <summary>Создает рисунок - копию рисунка g</summary>
+    </member>
+    <member name="M:PictureABC.ChangePicture(System.String)">
+      <summary>Меняет изображение рисунка, считывая его из файла fname</summary>
+    </member>
+    <member name="M:PictureABC.ChangePicture(GraphABC.Picture)">
+      <summary>Меняет изображение рисунка, считывая его из объекта p</summary>
+    </member>
+    <member name="M:PictureABC.Save(System.String)">
+      <summary>Сохраняет рисунок в файл fname</summary>
+    </member>
+    <member name="M:PictureABC.FlipVertical">
+      <summary>Зеркально отображает рисунок относительно вертикальной оси</summary>
+    </member>
+    <member name="M:PictureABC.FlipHorizontal">
+      <summary>Зеркально отображает рисунок относительно горизонтальной оси</summary>
+    </member>
+    <member name="M:PictureABC.Clone0">
+      <summary>Возвращает клон рисунка</summary>
+    </member>
+    <member name="M:PictureABC.Clone">
+      <summary>Возвращает клон рисунка</summary>
+    </member>
+    <member name="P:PictureABC.Transparent">
+      <summary>Прозрачен ли рисунок</summary>
+    </member>
+    <member name="P:PictureABC.TransparentColor">
+      <summary>Цвет, считающийся прозрачным</summary>
+    </member>
+    <member name="P:PictureABC.ScaleX">
+      <summary>Масштаб рисунка по оси X относительно исходного изображения. При отрицательных значениях 
+происходит зеркальное отражение относительно вертикальной оси</summary>
+    </member>
+    <member name="P:PictureABC.ScaleY">
+      <summary>Масштаб рисунка по оси Y относительно исходного изображения. При отрицательных значениях 
+происходит зеркальное отражение относительно вертикальной оси</summary>
+    </member>
+    <member name="T:MultiPictureABC">
+      <summary>Класс графических объектов "Набор рисунков"</summary>
+    </member>
+    <member name="M:MultiPictureABC.#ctor(System.Int32,System.Int32,System.String)">
+      <summary>Создает набор рисунков, состоящий из одного рисунка, загружая его из файла с именем fname. 
+После создания рисунок отображается на экране в позиции (x,y). Остальные рисунки добавляются методом Add</summary>
+    </member>
+    <member name="M:MultiPictureABC.#ctor(System.Int32,System.Int32,GraphABC.Picture)">
+      <summary>Создает набор рисунков, состоящий из одного рисунка, хранящегося в переменной p
+После создания рисунок отображается на экране в позиции (x,y). Остальные рисунки добавляются методом Add</summary>
+    </member>
+    <member name="M:MultiPictureABC.#ctor(System.Int32,System.Int32,System.Int32,GraphABC.Picture)">
+      <summary>Создает набор рисунков из объекта p типа Picture. Объект p должен хранить 
+последовательность изображений одного размера, расположенных по горизонтали. 
+Каждое изображение считается имеющим ширину w. Если ширина рисунка в объекте p не кратна w, 
+то возникает исключение. После создания первый рисунок из набора отображается на экране в позиции (x,y)</summary>
+    </member>
+    <member name="M:MultiPictureABC.#ctor(System.Int32,System.Int32,System.Int32,System.String)">
+      <summary>Создает набор рисунков, загружая его из файла fname. Файл должен хранить 
+последовательность изображений одного размера, расположенных по горизонтали. 
+Каждое изображение считается имеющим ширину w. Если ширина рисунка в файле fname не кратна w, 
+то возникает исключение. После создания первый рисунок из набора отображается на экране в позиции (x,y)</summary>
+    </member>
+    <member name="M:MultiPictureABC.#ctor(ABCObjects.MultiPictureABC)">
+      <summary>Создает набор рисунков - копию набора рисунков g</summary>
+    </member>
+    <member name="M:MultiPictureABC.Add(System.String)">
+      <summary>Добавляет рисунок к набору, загружая его из файла fname. 
+ Рисунок должен иметь те же размеры, что и все рисунки из набора</summary>
+    </member>
+    <member name="M:MultiPictureABC.ChangePicture(System.String)">
+      <summary>Меняет набор рисунков на набор, состоящий из одного рисунка, загружая его из файла с именем fname</summary>
+    </member>
+    <member name="M:MultiPictureABC.ChangePicture(System.Int32,System.String)">
+      <summary>Меняет набор рисунков на набор, загружая его из файла с именем fname.
+Файл должен хранить последовательность изображений одного размера, 
+расположенных по горизонтали. Каждое изображение считается имеющим ширину w</summary>
+    </member>
+    <member name="M:MultiPictureABC.NextPicture">
+      <summary>Циклически переходит к следующему рисунку из набора</summary>
+    </member>
+    <member name="M:MultiPictureABC.PrevPicture">
+      <summary>Циклически переходит к предыдующему рисунку из набора</summary>
+    </member>
+    <member name="M:MultiPictureABC.Clone0">
+      <summary>Возвращает клон набора рисунков</summary>
+    </member>
+    <member name="M:MultiPictureABC.Clone">
+      <summary>Возвращает клон набора рисунков</summary>
+    </member>
+    <member name="P:MultiPictureABC.CurrentPicture">
+      <summary>Номер текущего рисунка (нумерация с 1)</summary>
+    </member>
+    <member name="P:MultiPictureABC.Count">
+      <summary>Количество рисунков в наборе</summary>
+    </member>
+    <member name="T:BoardABC">
+      <summary>Класс графических объектов "Доска"</summary>
+    </member>
+    <member name="M:BoardABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает доску nx на ny клеток цвета cl с размером клетки (ssxx,ssyy) в позиции (x,y).</summary>
+    </member>
+    <member name="M:BoardABC.#ctor(ABCObjects.BoardABC)">
+      <summary>Создает доску - копию доски g</summary>
+    </member>
+    <member name="M:BoardABC.Clone0">
+      <summary>Возвращает клон доски</summary>
+    </member>
+    <member name="M:BoardABC.Clone">
+      <summary>Возвращает клон доски</summary>
+    </member>
+    <member name="P:BoardABC.DimX">
+      <summary>Количество клеток доски по горизонтали</summary>
+    </member>
+    <member name="P:BoardABC.DimY">
+      <summary>Количество клеток доски по вертикали</summary>
+    </member>
+    <member name="P:BoardABC.CellSizeX">
+      <summary>Размер клетки по горизонтали</summary>
+    </member>
+    <member name="P:BoardABC.CellSizeY">
+      <summary>Размер клетки по вертикали</summary>
+    </member>
+    <member name="T:ObjectBoardABC">
+      <summary>Класс графических объектов "Доска с объектами"</summary>
+    </member>
+    <member name="M:ObjectBoardABC.#ctor(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Создает доску с объектами nx на ny клеток цвета cl с размером клетки (ssxx,ssyy) в позиции (x,y).</summary>
+    </member>
+    <member name="M:ObjectBoardABC.#ctor(ABCObjects.ObjectBoardABC)">
+      <summary>Создает доску с объектами - копию доски g</summary>
+    </member>
+    <member name="M:ObjectBoardABC.DestroyObject(System.Int32,System.Int32)">
+      <summary>Удаляет объект в клетке с координатами (x,y)</summary>
+    </member>
+    <member name="M:ObjectBoardABC.SwapObjects(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Меняет местами объекты в клетках с координатами (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:ObjectBoardABC.Clone0">
+      <summary>Возвращает клон доски с объектами</summary>
+    </member>
+    <member name="M:ObjectBoardABC.Clone">
+      <summary>Возвращает клон доски с объектами</summary>
+    </member>
+    <member name="P:ObjectBoardABC.Items">
+      <summary>Объект в клетке с координатами (x,y)</summary>
+    </member>
+    <member name="T:UIElementABC">
+      <summary>Тип элемента управления ABCObject</summary>
+    </member>
+    <member name="T:ObjectsABCArray">
+      <summary>Тип массива графических объектов</summary>
+    </member>
+    <member name="P:ObjectsABCArray.Items">
+      <summary>i-тый графический объект на экране</summary>
+    </member>
+    <member name="P:ObjectsABCArray.Count">
+      <summary>Количество графических объектов на экране</summary>
+    </member>
+    <member name="M:LockDrawingObjects">
+      <summary>Блокирует рисование графических объектов. Возможна лишь перерисовка 
+всего экрана вместе со всеми графическими объектами на нем вызовом RedrawObjects</summary>
+    </member>
+    <member name="M:UnLockDrawingObjects">
+      <summary>Разблокирует рисование графических объектов</summary>
+    </member>
+    <member name="M:RedrawObjects">
+      <summary>Перерисовывает все графическое окно вместе со всеми графическими объектами на нем</summary>
+    </member>
+    <member name="M:ToFront(ABCObjects.ObjectABC)">
+      <summary>Переносит графический объект g на передний план</summary>
+    </member>
+    <member name="M:ToBack(ABCObjects.ObjectABC)">
+      <summary>Переносит графический объект g на задний план</summary>
+    </member>
+    <member name="M:ObjectsCount">
+      <summary>Количество графических объектов</summary>
+    </member>
+    <member name="M:ObjectUnderPoint(System.Int32,System.Int32)">
+      <summary>Графический объект под точкой (x,y)</summary>
+    </member>
+    <member name="M:ObjectUnderPoint(System.Drawing.Point)">
+      <summary>Графический объект под точкой p</summary>
+    </member>
+    <member name="M:SwapPositions(ABCObjects.ObjectABC,ABCObjects.ObjectABC)">
+      <summary>Поменять позиции графических объектов o1 и o2</summary>
+    </member>
+    <member name="M:UIElementUnderPoint(System.Int32,System.Int32)">
+      <summary>Элемент управления ABCObject под точкой (x,y)</summary>
+    </member>
+    <member name="M:__InitModule__">
+      <summary>--</summary>
+    </member>
+    <member name="V:Objects">
+      <summary>Массив графических объектов</summary>
+    </member>
+  </members>
+</doc>
\ No newline at end of file
diff --git a/bin/Lib/CRT.xml b/bin/Lib/CRT.xml
new file mode 100644
index 000000000..f6e7029af
--- /dev/null
+++ b/bin/Lib/CRT.xml
@@ -0,0 +1,97 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+  <unit name="CRT">&lt;summary&gt;
+ Модуль для работы с консолью
+ &lt;/summary&gt;</unit>
+  <members>
+    <member name="M:SetWindowTitle(System.String)">
+      <summary>
+ Задает заголовок консольного окна
+ </summary>
+ <param name="s">Заголовок консольного окна</param></member>
+    <member name="M:SetWindowCaption(System.String)">
+      <summary>
+ Задает заголовок консольного окна
+ </summary>
+ <param name="s">Заголовок консольного окна</param></member>
+    <member name="M:ShowCursor">
+      <summary>
+ Показывает курсор если он скрыт
+ </summary>
+    </member>
+    <member name="M:HideCursor">
+      <summary>
+ Скрывает курсор
+ </summary>
+    </member>
+    <member name="M:ReadKey">
+      <summary>
+ Считыват нажатую клавишу
+ </summary>
+    </member>
+    <member name="M:KeyPressed">
+      <summary>
+ Возвращает true если была нажата клавиша. Считать символ можно спомощью функции ReadKey
+ </summary>
+    </member>
+    <member name="M:WindowWidth">
+      <summary>
+ Возвращает ширину экрана
+ </summary>
+    </member>
+    <member name="M:WindowHeight">
+      <summary>
+ Возвращает высоту экрана
+ </summary>
+ <returns></returns></member>
+    <member name="M:WhereX">
+      <summary>
+ Возвращает Х-координату курсора
+ </summary>
+    </member>
+    <member name="M:WhereY">
+      <summary>
+ Возвращает Y-координату курсора
+ </summary>
+    </member>
+    <member name="M:GotoXY(System.Int32,System.Int32)">
+      <summary>
+ Переводит курсор в координаты (x,y)
+ </summary>
+    </member>
+    <member name="M:SetWindowSize(System.Int32,System.Int32)">
+      <summary>
+ Задает размеры консольного окна
+ </summary>
+ <param name="w">Ширина</param>
+ <param name="h">Высота</param></member>
+    <member name="M:ClrScr">
+      <summary>
+ Очищает экран, заполняя его текущим цветом фона
+ </summary>
+    </member>
+    <member name="M:TextBackground(System.Int32)">
+      <summary>
+ Задает цвет фона выводимого текста
+ </summary>
+ <param name="c">Цвет фона</param></member>
+    <member name="M:TextColor(System.Int32)">
+      <summary>
+ Задает цвет выводимого текста
+ </summary>
+ <param name="c">Цвет текста</param></member>
+    <member name="M:ClearLine">
+      <summary>
+ Очищает линию на которой установлен курсор
+ </summary>
+    </member>
+    <member name="M:Delay(System.Int32)">
+      <summary>
+ Делает паузу на ms миллисекунд
+ </summary>
+    </member>
+    <member name="M:__InitModule__">
+      <summary>--</summary>
+    </member>
+  </members>
+</doc>
\ No newline at end of file
diff --git a/bin/Lib/GraphABC.xml b/bin/Lib/GraphABC.xml
new file mode 100644
index 000000000..ebb28a911
--- /dev/null
+++ b/bin/Lib/GraphABC.xml
@@ -0,0 +1,915 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+  <unit name="GraphABC">Модуль предоставляет константы, типы, процедуры, функции и классы для рисования в графическом окне</unit>
+  <members>
+    <member name="T:GraphABCException">
+      <summary>Тип исключения GraphABC</summary>
+    </member>
+    <member name="T:GraphABCPen">
+      <summary>Тип пера GraphABC</summary>
+    </member>
+    <member name="P:GraphABCPen.NETPen">
+      <summary>Текущее перо .NET</summary>
+    </member>
+    <member name="P:GraphABCPen.Color">
+      <summary>Цвет пера</summary>
+    </member>
+    <member name="P:GraphABCPen.Width">
+      <summary>Ширина пера</summary>
+    </member>
+    <member name="P:GraphABCPen.Style">
+      <summary>Стиль пера</summary>
+    </member>
+    <member name="P:GraphABCPen.Mode">
+      <summary>Режим пера</summary>
+    </member>
+    <member name="P:GraphABCPen.X">
+      <summary>X-координата текущей позиции пера</summary>
+    </member>
+    <member name="P:GraphABCPen.Y">
+      <summary>Y-координата текущей позиции пера</summary>
+    </member>
+    <member name="P:GraphABCPen.RoundCap">
+      <summary>Режим закругленных концов линий</summary>
+    </member>
+    <member name="T:GraphABCBrush">
+      <summary>Тип кисти GraphABC</summary>
+    </member>
+    <member name="P:GraphABCBrush.NETBrush">
+      <summary>Текущая кисть .NET</summary>
+    </member>
+    <member name="P:GraphABCBrush.Color">
+      <summary>Цвет кисти</summary>
+    </member>
+    <member name="P:GraphABCBrush.Style">
+      <summary>Стиль кисти</summary>
+    </member>
+    <member name="P:GraphABCBrush.Hatch">
+      <summary>Штриховка кисти</summary>
+    </member>
+    <member name="P:GraphABCBrush.HatchBackgroundColor">
+      <summary>Цвет заднего плана штриховой кисти</summary>
+    </member>
+    <member name="P:GraphABCBrush.GradientSecondColor">
+      <summary>Второй цвет градиентной кисти</summary>
+    </member>
+    <member name="T:GraphABCFont">
+      <summary>Тип шрифта GraphABC</summary>
+    </member>
+    <member name="P:GraphABCFont.NETFont">
+      <summary>Текущий шрифт .NET</summary>
+    </member>
+    <member name="P:GraphABCFont.Color">
+      <summary>Цвет шрифта</summary>
+    </member>
+    <member name="P:GraphABCFont.Style">
+      <summary>Стиль шрифта</summary>
+    </member>
+    <member name="P:GraphABCFont.Size">
+      <summary>Размер шрифта в пунктах</summary>
+    </member>
+    <member name="P:GraphABCFont.Name">
+      <summary>Наименование шрифта</summary>
+    </member>
+    <member name="M:GraphABCCoordinate.SetTransform(System.Double,System.Double,System.Double,System.Double,System.Double)">
+      <summary>Устанавливает параметры системы координат</summary>
+    </member>
+    <member name="M:GraphABCCoordinate.SetOrigin(System.Int32,System.Int32)">
+      <summary>Устанавливает начало системы координат</summary>
+    </member>
+    <member name="M:GraphABCCoordinate.SetScale(System.Double,System.Double)">
+      <summary>Устанавливает масштаб системы координат</summary>
+    </member>
+    <member name="M:GraphABCCoordinate.SetScale(System.Double)">
+      <summary>Устанавливает масштаб системы координат</summary>
+    </member>
+    <member name="M:GraphABCCoordinate.SetMathematic">
+      <summary>Устанавливает правую систему координат (ось OY направлена вверх, ось OX - вправо)</summary>
+    </member>
+    <member name="M:GraphABCCoordinate.SetStandard">
+      <summary>Устанавливает левую систему координат (ось OY направлена вниз, ось OX - вправо)</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.OriginX">
+      <summary>X-координата начала координат относительно левого верхнего угла окна</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.OriginY">
+      <summary>Y-координата начала координат относительно левого верхнего угла окна</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.Origin">
+      <summary>Координаты начала координат относительно левого верхнего угла окна</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.Angle">
+      <summary>Угол поворота системы координат</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.ScaleX">
+      <summary>Масштаб системы координат по оси X</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.ScaleY">
+      <summary>Масштаб системы координат по оси Y</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.Scale">
+      <summary>Масштаб системы координат по обоим осям</summary>
+    </member>
+    <member name="P:GraphABCCoordinate.Matrix">
+      <summary>Матрица 3x3 преобразований координат</summary>
+    </member>
+    <member name="M:GraphABCWindow.Clear">
+      <summary>Очищает графическое окно белым цветом</summary>
+    </member>
+    <member name="M:GraphABCWindow.Clear(System.Drawing.Color)">
+      <summary>Очищает графическое окно цветом c</summary>
+    </member>
+    <member name="M:GraphABCWindow.SetSize(System.Int32,System.Int32)">
+      <summary>Устанавливает размеры клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:GraphABCWindow.SetPos(System.Int32,System.Int32)">
+      <summary>Устанавливает отступ графического окна от левого верхнего края экрана в пикселах</summary>
+    </member>
+    <member name="M:GraphABCWindow.Init(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Устанавливает положение, размеры и цвет графического окна</summary>
+    </member>
+    <member name="M:GraphABCWindow.Save(System.String)">
+      <summary>Сохраняет содержимое графического окна в файл с именем fname</summary>
+    </member>
+    <member name="M:GraphABCWindow.Load(System.String)">
+      <summary>Восстанавливает содержимое графического окна из файла с именем fname</summary>
+    </member>
+    <member name="M:GraphABCWindow.Fill(System.String)">
+      <summary>Заполняет содержимое графического окна обоями из файла с именем fname</summary>
+    </member>
+    <member name="M:GraphABCWindow.Close">
+      <summary>Закрывает графическое окно и завершает приложение</summary>
+    </member>
+    <member name="M:GraphABCWindow.Minimize">
+      <summary>Сворачивает графическое окно</summary>
+    </member>
+    <member name="M:GraphABCWindow.Maximize">
+      <summary>Максимизирует графическое окно</summary>
+    </member>
+    <member name="M:GraphABCWindow.Normalize">
+      <summary>Возвращает графическое окно к нормальному размеру</summary>
+    </member>
+    <member name="M:GraphABCWindow.CenterOnScreen">
+      <summary>Центрирует графическое окно по центру экрана</summary>
+    </member>
+    <member name="M:GraphABCWindow.Center">
+      <summary>Возвращает центр графического окна</summary>
+    </member>
+    <member name="P:GraphABCWindow.Left">
+      <summary>Отступ графического окна от левого края экрана в пикселах</summary>
+    </member>
+    <member name="P:GraphABCWindow.Top">
+      <summary>Отступ графического окна от верхнего края экрана в пикселах</summary>
+    </member>
+    <member name="P:GraphABCWindow.Width">
+      <summary>Ширина клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="P:GraphABCWindow.Height">
+      <summary>Высота клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="P:GraphABCWindow.Caption">
+      <summary>Заголовок графического окна</summary>
+    </member>
+    <member name="P:GraphABCWindow.Title">
+      <summary>Заголовок графического окна</summary>
+    </member>
+    <member name="P:GraphABCWindow.IsFixedSize">
+      <summary>Имеет ли графическое окно фиксированный размер</summary>
+    </member>
+    <member name="T:Picture">
+      <summary>Тип рисунка GraphABC</summary>
+    </member>
+    <member name="M:Picture.#ctor(System.Int32,System.Int32)">
+      <summary>Создает рисунок размера w на h пикселей</summary>
+    </member>
+    <member name="M:Picture.#ctor(System.String)">
+      <summary>Создает рисунок из файла с именем fname</summary>
+    </member>
+    <member name="M:Picture.#ctor(System.Drawing.Rectangle)">
+      <summary>Создает рисунок из прямоугольника r графического окна</summary>
+    </member>
+    <member name="M:Picture.Load(System.String)">
+      <summary>Загружает рисунок из файла с именем fname</summary>
+    </member>
+    <member name="M:Picture.Save(System.String)">
+      <summary>Сохраняет рисунок в файл с именем fname</summary>
+    </member>
+    <member name="M:Picture.SetSize(System.Int32,System.Int32)">
+      <summary>Устанавливает размер рисунка w на h пикселей</summary>
+    </member>
+    <member name="M:Picture.Intersect(GraphABC.Picture)">
+      <summary>Возвращает True, если изображение данного рисунка пересекается с изображением рисунка p, и False в противном случае. Белый цвет считается прозрачным</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32)">
+      <summary>Выводит рисунок в позиции (x,y)</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Drawing.Graphics)">
+      <summary>Выводит рисунок в позиции (x,y) на поверхность рисования g</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит рисунок в позиции (x,y), масштабируя его к размеру (w,h)</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Graphics)">
+      <summary>Выводит рисунок в позиции (x,y), масштабируя его к размеру (w,h), на поверхность рисования g</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Drawing.Rectangle)">
+      <summary>Выводит часть рисунка, заключенную в прямоугольнике r, в позиции (x,y)</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Drawing.Rectangle,System.Drawing.Graphics)">
+      <summary>Выводит часть рисунка, заключенную в прямоугольнике r, в позиции (x,y) на поверхность рисования g</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Rectangle)">
+      <summary>Выводит часть рисунка, заключенную в прямоугольнике r, в позиции (x,y), масштабируя его к размеру (w,h)</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Rectangle,System.Drawing.Graphics)">
+      <summary>Выводит часть рисунка, заключенную в прямоугольнике r, в позиции (x,y), масштабируя его к размеру (w,h), на поверхность рисования g</summary>
+    </member>
+    <member name="M:Picture.Draw(System.Int32,System.Int32,System.Double,System.Int32,System.Int32)">
+      <summary>Выводит рисунок, повернутый на угол rotateAngle, масштабируя его к размеру (w,h)</summary>
+    </member>
+    <member name="M:Picture.CopyRect(System.Drawing.Rectangle,GraphABC.Picture,System.Drawing.Rectangle)">
+      <summary>Копирует прямоугольник src рисунка p в прямоугольник dst текущего рисунка</summary>
+    </member>
+    <member name="M:Picture.CopyRect(System.Drawing.Rectangle,System.Drawing.Bitmap,System.Drawing.Rectangle)">
+      <summary>Копирует прямоугольник src битового образа bmp в прямоугольник dst текущего рисунка</summary>
+    </member>
+    <member name="M:Picture.FlipHorizontal">
+      <summary>Зеркально отображает рисунок относительно горизонтальной оси симметрии</summary>
+    </member>
+    <member name="M:Picture.FlipVertical">
+      <summary>Зеркально отображает рисунок относительно вертикальной оси симметрии</summary>
+    </member>
+    <member name="M:Picture.SetPixel(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Закрашивает пиксел (x,y) рисунка цветом c</summary>
+    </member>
+    <member name="M:Picture.PutPixel(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Закрашивает пиксел (x,y) рисунка цветом c</summary>
+    </member>
+    <member name="M:Picture.GetPixel(System.Int32,System.Int32)">
+      <summary>Возвращает цвет пиксела (x,y) рисунка</summary>
+    </member>
+    <member name="M:Picture.Line(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке отрезок от точки (x1,y1) до точки (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.Line(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Выводит на рисунке отрезок от точки (x1,y1) до точки (x2,y2) цветом c</summary>
+    </member>
+    <member name="M:Picture.FillCircle(System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет на рисунке внутренность окружности с центром (x,y) и радиусом r</summary>
+    </member>
+    <member name="M:Picture.DrawCircle(System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке окружность с центром (x,y) и радиусом r</summary>
+    </member>
+    <member name="M:Picture.FillEllipse(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет на рисунке внутренность эллипса, ограниченного прямоугольником, заданным координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.DrawEllipse(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке границу эллипса, ограниченного прямоугольником, заданным координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.FillRectangle(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет на рисунке внутренность прямоугольника, заданного координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.FillRect(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет на рисунке внутренность прямоугольника, заданного координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.DrawRectangle(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке границу ы прямоугольника, заданного координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.Circle(System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке заполненную окружность с центром (x,y) и радиусом r</summary>
+    </member>
+    <member name="M:Picture.Ellipse(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке заполненный эллипс, ограниченный прямоугольником, заданным координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.Rectangle(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке заполненный прямоугольник, заданный координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Picture.RoundRect(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке заполненный прямоугольник со скругленными краями; (x1,y1) и (x2,y2) задают пару противоположных вершин, а w и h – ширину и высоту эллипса, используемого для скругления краев</summary>
+    </member>
+    <member name="M:Picture.Arc(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке дугу окружности с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:Picture.FillPie(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет на рисунке внутренность сектора окружности, ограниченного дугой с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:Picture.DrawPie(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке сектор окружности, ограниченный дугой с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:Picture.Pie(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит на рисунке заполненный сектор окружности, ограниченный дугой с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:Picture.DrawPolygon(System.Drawing.Point[])">
+      <summary>Выводит на рисунке замкнутую ломаную по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.FillPolygon(System.Drawing.Point[])">
+      <summary>Заполняет на рисунке многоугольник, координаты вершин которого заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.Polygon(System.Drawing.Point[])">
+      <summary>Выводит на рисунке заполненный многоугольник, координаты вершин которого заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.Polyline(System.Drawing.Point[])">
+      <summary>Выводит на рисунке ломаную по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.Curve(System.Drawing.Point[])">
+      <summary>Выводит на рисунке кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.DrawClosedCurve(System.Drawing.Point[])">
+      <summary>Выводит на рисунке замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.FillClosedCurve(System.Drawing.Point[])">
+      <summary>Заполняет на рисунке замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.ClosedCurve(System.Drawing.Point[])">
+      <summary>Выводит на рисунке заполненную замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Picture.TextOut(System.Int32,System.Int32,System.String)">
+      <summary>Выводит на рисунке строку s в прямоугольник к координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:Picture.FloodFill(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Заливает на рисунке область одного цвета цветом c, начиная с точки (x,y).</summary>
+    </member>
+    <member name="M:Picture.Clear">
+      <summary>Очищает рисунок белым цветом</summary>
+    </member>
+    <member name="M:Picture.Clear(System.Drawing.Color)">
+      <summary>Очищает рисунок цветом c</summary>
+    </member>
+    <member name="P:Picture.Width">
+      <summary>Ширина рисунка в пикселах</summary>
+    </member>
+    <member name="P:Picture.Height">
+      <summary>Высота рисунка в пикселах</summary>
+    </member>
+    <member name="P:Picture.Transparent">
+      <summary>Прозрачность рисунка; прозрачный цвет задается свойством TransparentColor</summary>
+    </member>
+    <member name="P:Picture.TransparentColor">
+      <summary>Прозрачный цвет рисунка. Должна быть установлена прозрачность Transparent := True</summary>
+    </member>
+    <member name="T:Color">
+      <summary>Тип цвета</summary>
+    </member>
+    <member name="T:HatchStyle">
+      <summary>Тип стиля штриховки кисти</summary>
+    </member>
+    <member name="T:DashStyle">
+      <summary>Тип стиля штриховки пера</summary>
+    </member>
+    <member name="T:Point">
+      <summary>Тип точки</summary>
+    </member>
+    <member name="M:SetPixel(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Закрашивает пиксел с координатами (x,y) цветом c</summary>
+    </member>
+    <member name="M:PutPixel(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Закрашивает пиксел с координатами (x,y) цветом c</summary>
+    </member>
+    <member name="M:GetPixel(System.Int32,System.Int32)">
+      <summary>Возвращает цвет пиксела с координатами (x,y)</summary>
+    </member>
+    <member name="M:MoveTo(System.Int32,System.Int32)">
+      <summary>Устанавливает текущую позицию рисования в точку (x,y)</summary>
+    </member>
+    <member name="M:MoveRel(System.Int32,System.Int32)">
+      <summary>Перемещает текущую позицию рисования на вектор (dx,dy)</summary>
+    </member>
+    <member name="M:LineTo(System.Int32,System.Int32)">
+      <summary>Рисует отрезок от текущей позиции до точки (x,y). Текущая позиция переносится в точку (x,y)</summary>
+    </member>
+    <member name="M:LineTo(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Рисует отрезок от текущей позиции до точки (x,y) цветом c. Текущая позиция переносится в точку (x,y)</summary>
+    </member>
+    <member name="M:LineRel(System.Int32,System.Int32)">
+      <summary>Рисует отрезок от текущей позиции до точки, смещённой на вектор (dx,dy). Текущая позиция переносится в новую точку</summary>
+    </member>
+    <member name="M:LineRel(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Рисует отрезок цветом c от текущей позиции до точки, смещённой на вектор (dx,dy). Текущая позиция переносится в новую точку</summary>
+    </member>
+    <member name="M:Line(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует отрезок от точки (x1,y1) до точки (x2,y2)</summary>
+    </member>
+    <member name="M:Line(System.Drawing.Point,System.Drawing.Point)">
+      <summary>Рисует отрезок от точки p1 до точки p2</summary>
+    </member>
+    <member name="M:Line(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Рисует отрезок от точки (x1,y1) до точки (x2,y2) цветом c</summary>
+    </member>
+    <member name="M:Line(System.Drawing.Point,System.Drawing.Point,System.Drawing.Color)">
+      <summary>Рисует отрезок от точки p1 до точки p2 цветом c</summary>
+    </member>
+    <member name="M:FillCircle(System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет внутренность окружности с центром (x,y) и радиусом r</summary>
+    </member>
+    <member name="M:DrawCircle(System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует окружность с центром (x,y) и радиусом r</summary>
+    </member>
+    <member name="M:FillEllipse(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет внутренность эллипса, ограниченного прямоугольником, заданным координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:DrawEllipse(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует границу эллипса, ограниченного прямоугольником, заданным координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:FillRectangle(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет внутренность прямоугольника, заданного координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:FillRect(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет внутренность прямоугольника, заданного координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:DrawRectangle(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует границу прямоугольника, заданного координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:FillRoundRect(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет внутренность прямоугольника со скругленными краями; (x1,y1) и (x2,y2) задают пару противоположных вершин, а w и h – ширину и высоту эллипса, используемого для скругления краев</summary>
+    </member>
+    <member name="M:DrawRoundRect(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует границу прямоугольника со скругленными краями; (x1,y1) и (x2,y2) задают пару противоположных вершин, а w и h – ширину и высоту эллипса, используемого для скругления краев</summary>
+    </member>
+    <member name="M:Circle(System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует заполненную окружность с центром (x,y) и радиусом r</summary>
+    </member>
+    <member name="M:Ellipse(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует заполненный эллипс, ограниченный прямоугольником, заданным координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:Rectangle(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует заполненный прямоугольник, заданный координатами противоположных вершин (x1,y1) и (x2,y2)</summary>
+    </member>
+    <member name="M:RoundRect(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует заполненный прямоугольник со скругленными краями; (x1,y1) и (x2,y2) задают пару противоположных вершин, а w и h – ширину и высоту эллипса, используемого для скругления краев</summary>
+    </member>
+    <member name="M:Arc(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует дугу окружности с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:FillPie(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Заполняет внутренность сектора окружности, ограниченного дугой с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:DrawPie(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует сектор окружности, ограниченный дугой с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:Pie(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует заполненный сектор окружности, ограниченный дугой с центром в точке (x,y) и радиусом r, заключенной между двумя лучами, образующими углы a1 и a2 с осью OX (a1 и a2 – вещественные, задаются в градусах и отсчитываются против часовой стрелки)</summary>
+    </member>
+    <member name="M:Pnt(System.Int32,System.Int32)">
+      <summary>Возвращает точку на плоскости с координатами (x,y)</summary>
+    </member>
+    <member name="M:DrawPolygon(System.Drawing.Point[])">
+      <summary>Рисует замкнутую ломаную по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:DrawPolygon(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Рисует замкнутую ломаную по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:FillPolygon(System.Drawing.Point[])">
+      <summary>Заполняет многоугольник, координаты вершин которого заданы в массиве points</summary>
+    </member>
+    <member name="M:FillPolygon(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Заполняет многоугольник, координаты вершин которого заданы в массиве points</summary>
+    </member>
+    <member name="M:Polygon(System.Drawing.Point[])">
+      <summary>Рисует заполненный многоугольник, координаты вершин которого заданы в массиве points</summary>
+    </member>
+    <member name="M:Polygon(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Рисует заполненный многоугольник, координаты вершин которого заданы в массиве points</summary>
+    </member>
+    <member name="M:Polyline(System.Drawing.Point[])">
+      <summary>Рисует ломаную по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Polyline(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Рисует ломаную по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Curve(System.Drawing.Point[])">
+      <summary>Рисует кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:Curve(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Рисует кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:DrawClosedCurve(System.Drawing.Point[])">
+      <summary>Рисует замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:DrawClosedCurve(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Рисует замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:FillClosedCurve(System.Drawing.Point[])">
+      <summary>Заполняет замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:FillClosedCurve(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Заполняет замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:ClosedCurve(System.Drawing.Point[])">
+      <summary>Рисует заполненную замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:ClosedCurve(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Рисует заполненную замкнутую кривую по точкам, координаты которых заданы в массиве points</summary>
+    </member>
+    <member name="M:TextOut(System.Int32,System.Int32,System.String)">
+      <summary>Выводит строку s в прямоугольник к координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:TextOut(System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит целое n в прямоугольник к координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:TextOut(System.Int32,System.Int32,System.Double)">
+      <summary>Выводит вещественное r в прямоугольник к координатами левого верхнего угла (x,y)</summary>
+    </member>
+    <member name="M:DrawTextCentered(System.Int32,System.Int32,System.Int32,System.Int32,System.String)">
+      <summary>Выводит строку s, отцентрированную в прямоугольнике с координатами (x,y,x1,y1)</summary>
+    </member>
+    <member name="M:DrawTextCentered(System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит целое значение n, отцентрированное в прямоугольнике с координатами (x,y,x1,y1)</summary>
+    </member>
+    <member name="M:DrawTextCentered(System.Int32,System.Int32,System.Int32,System.Int32,System.Double)">
+      <summary>Выводит вещественное значение r, отцентрированное в прямоугольнике с координатами (x,y,x1,y1)</summary>
+    </member>
+    <member name="M:DrawTextCentered(System.Int32,System.Int32,System.String)">
+      <summary>Выводит строку s, отцентрированное по точке с координатами (x,y)</summary>
+    </member>
+    <member name="M:DrawTextCentered(System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит целое n, отцентрированное по точке с координатами (x,y)</summary>
+    </member>
+    <member name="M:DrawTextCentered(System.Int32,System.Int32,System.Double)">
+      <summary>Выводит вещественное r, отцентрированное по точке с координатами (x,y)</summary>
+    </member>
+    <member name="M:FloodFill(System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Заливает область одного цвета цветом c, начиная с точки (x,y).</summary>
+    </member>
+    <member name="M:RGB(System.Byte,System.Byte,System.Byte)">
+      <summary>Возвращает цвет, который содержит красную (r), зеленую (g) и синюю (b) составляющие (r,g и b - в диапазоне от 0 до 255)</summary>
+    </member>
+    <member name="M:ARGB(System.Byte,System.Byte,System.Byte,System.Byte)">
+      <summary>Возвращает цвет, который содержит красную (r), зеленую (g) и синюю (b) составляющие и прозрачность (a) (a,r,g,b - в диапазоне от 0 до 255)</summary>
+    </member>
+    <member name="M:RedColor(System.Byte)">
+      <summary>Возвращает красный цвет с интенсивностью r (r - в диапазоне от 0 до 255)</summary>
+    </member>
+    <member name="M:GreenColor(System.Byte)">
+      <summary>Возвращает зеленый цвет с интенсивностью g (g - в диапазоне от 0 до 255)</summary>
+    </member>
+    <member name="M:BlueColor(System.Byte)">
+      <summary>Возвращает синий цвет с интенсивностью b (b - в диапазоне от 0 до 255)</summary>
+    </member>
+    <member name="M:clRandom">
+      <summary>Возвращает случайный цвет</summary>
+    </member>
+    <member name="M:GetRed(System.Drawing.Color)">
+      <summary>Возвращает красную составляющую цвета</summary>
+    </member>
+    <member name="M:GetGreen(System.Drawing.Color)">
+      <summary>Возвращает зеленую составляющую цвета</summary>
+    </member>
+    <member name="M:GetBlue(System.Drawing.Color)">
+      <summary>Возвращает синюю составляющую цвета</summary>
+    </member>
+    <member name="M:GetAlpha(System.Drawing.Color)">
+      <summary>Возвращает составляющую прозрачности цвета</summary>
+    </member>
+    <member name="M:SetPenColor(System.Drawing.Color)">
+      <summary>Устанавливает цвет текущего пера</summary>
+    </member>
+    <member name="M:PenColor">
+      <summary>Возвращает цвет текущего пера</summary>
+    </member>
+    <member name="M:SetPenWidth(System.Int32)">
+      <summary>Устанавливает ширину текущего пера</summary>
+    </member>
+    <member name="M:PenWidth">
+      <summary>Возвращает ширину текущего пера</summary>
+    </member>
+    <member name="M:SetPenStyle(System.Drawing.Drawing2D.DashStyle)">
+      <summary>Устанавливает стиль текущего пера</summary>
+    </member>
+    <member name="M:PenStyle">
+      <summary>Возвращает стиль текущего пера</summary>
+    </member>
+    <member name="M:SetPenMode(System.Int32)">
+      <summary>Устанавливает режим текущего пера</summary>
+    </member>
+    <member name="M:PenMode">
+      <summary>Возвращает режим текущего пера</summary>
+    </member>
+    <member name="M:SetPenRoundCap(System.Boolean)">
+      <summary>Устанавливает или отменяет режим закругленных концов линий</summary>
+    </member>
+    <member name="M:PenRoundCap">
+      <summary>Возвращает truе, если установлен режим закругленных концов линий</summary>
+    </member>
+    <member name="M:PenX">
+      <summary>Возвращают x-координату текущей позиции рисования</summary>
+    </member>
+    <member name="M:PenY">
+      <summary>Возвращают y-координату текущей позиции рисования</summary>
+    </member>
+    <member name="M:SetBrushColor(System.Drawing.Color)">
+      <summary>Устанавливает цвет текущей кисти</summary>
+    </member>
+    <member name="M:BrushColor">
+      <summary>Возвращает цвет текущей кисти</summary>
+    </member>
+    <member name="M:SetBrushStyle(GraphABC.BrushStyleType)">
+      <summary>Устанавливает цвет текущей кисти</summary>
+    </member>
+    <member name="M:BrushStyle">
+      <summary>Возвращает цвет текущей кисти</summary>
+    </member>
+    <member name="M:SetBrushHatch(System.Drawing.Drawing2D.HatchStyle)">
+      <summary>Устанавливает штриховку текущей кисти</summary>
+    </member>
+    <member name="M:BrushHatch">
+      <summary>Возвращает штриховку текущей кисти</summary>
+    </member>
+    <member name="M:SetHatchBrushBackgroundColor(System.Drawing.Color)">
+      <summary>Устанавливает цвет заднего плана текущей штриховой кисти</summary>
+    </member>
+    <member name="M:HatchBrushBackgroundColor">
+      <summary>Возвращает цвет заднего плана текущей штриховой кисти</summary>
+    </member>
+    <member name="M:SetGradientBrushSecondColor(System.Drawing.Color)">
+      <summary>Устанавливает второй цвет текущей градиентной кисти</summary>
+    </member>
+    <member name="M:GradientBrushSecondColor">
+      <summary>Возвращает второй цвет текущей градиентной кисти</summary>
+    </member>
+    <member name="M:SetFontSize(System.Int32)">
+      <summary>Устанавливает размер текущего шрифта в пунктах</summary>
+    </member>
+    <member name="M:FontSize">
+      <summary>Возвращает размер текущего шрифта в пунктах</summary>
+    </member>
+    <member name="M:SetFontName(System.String)">
+      <summary>Устанавливает имя текущего шрифта</summary>
+    </member>
+    <member name="M:FontName">
+      <summary>Возвращает имя текущего шрифта</summary>
+    </member>
+    <member name="M:SetFontColor(System.Drawing.Color)">
+      <summary>Устанавливает цвет текущего шрифта</summary>
+    </member>
+    <member name="M:FontColor">
+      <summary>Возвращает цвет текущего шрифта</summary>
+    </member>
+    <member name="M:SetFontStyle(GraphABC.FontStyleType)">
+      <summary>Устанавливает стиль текущего шрифта</summary>
+    </member>
+    <member name="M:FontStyle">
+      <summary>Возвращает стиль текущего шрифта</summary>
+    </member>
+    <member name="M:TextWidth(System.String)">
+      <summary>Возвращает ширину строки s в пикселях при текущих настройках шрифта</summary>
+    </member>
+    <member name="M:TextHeight(System.String)">
+      <summary>Возвращает высоту строки s в пикселях при текущих настройках шрифта</summary>
+    </member>
+    <member name="M:ClearWindow">
+      <summary>Очищает графическое окно белым цветом</summary>
+    </member>
+    <member name="M:ClearWindow(System.Drawing.Color)">
+      <summary>Очищает графическое окно цветом c</summary>
+    </member>
+    <member name="M:WindowWidth">
+      <summary>Возвращает ширину клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:WindowHeight">
+      <summary>Возвращает высоту клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:WindowLeft">
+      <summary>Возвращает отступ графического окна от левого края экрана в пикселах</summary>
+    </member>
+    <member name="M:WindowTop">
+      <summary>Возвращает отступ графического окна от верхнего края экрана в пикселах</summary>
+    </member>
+    <member name="M:WindowCenter">
+      <summary>Возвращает центр графического окна</summary>
+    </member>
+    <member name="M:WindowIsFixedSize">
+      <summary>Возвращает True, если графическое окно имеет фиксированный размер, и False в противном случае</summary>
+    </member>
+    <member name="M:SetWindowWidth(System.Int32)">
+      <summary>Устанавливает ширину клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:SetWindowHeight(System.Int32)">
+      <summary>Устанавливает высоту клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:SetWindowLeft(System.Int32)">
+      <summary>Устанавливает отступ графического окна от левого края экрана в пикселах</summary>
+    </member>
+    <member name="M:SetWindowTop(System.Int32)">
+      <summary>Устанавливает отступ графического окна от верхнего края экрана в пикселах</summary>
+    </member>
+    <member name="M:SetWindowIsFixedSize(System.Boolean)">
+      <summary>Устанавливает, имеет ли графическое окно фиксированный размер</summary>
+    </member>
+    <member name="M:SetWindowSize(System.Int32,System.Int32)">
+      <summary>Устанавливает размеры клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:SetWindowPos(System.Int32,System.Int32)">
+      <summary>Устанавливает отступ графического окна от левого верхнего края экрана в пикселах</summary>
+    </member>
+    <member name="M:GraphBoxWidth">
+      <summary>Возвращает ширину графического компонента в пикселах (по умолчанию совпадает с WindowWidth)</summary>
+    </member>
+    <member name="M:GraphBoxHeight">
+      <summary>Возвращает высоту графического компонента в пикселах (по умолчанию совпадает с WindowHeight)</summary>
+    </member>
+    <member name="M:GraphBoxLeft">
+      <summary>Возвращает отступ графического компонента от левого края окна в пикселах</summary>
+    </member>
+    <member name="M:GraphBoxTop">
+      <summary>Возвращает отступ графического компонента от верхнего края окна в пикселах</summary>
+    </member>
+    <member name="M:WindowCaption">
+      <summary>Возвращает заголовок графического окна</summary>
+    </member>
+    <member name="M:WindowTitle">
+      <summary>Возвращает заголовок графического окна</summary>
+    </member>
+    <member name="M:SetWindowCaption(System.String)">
+      <summary>Устанавливает заголовок графического окна</summary>
+    </member>
+    <member name="M:SetWindowTitle(System.String)">
+      <summary>Устанавливает заголовок графического окна</summary>
+    </member>
+    <member name="M:InitWindow(System.Int32,System.Int32,System.Int32,System.Int32,System.Drawing.Color)">
+      <summary>Устанавливает ширину и высоту клиентской части графического окна в пикселах</summary>
+    </member>
+    <member name="M:SaveWindow(System.String)">
+      <summary>Сохраняет содержимое графического окна в файл с именем fname</summary>
+    </member>
+    <member name="M:LoadWindow(System.String)">
+      <summary>Восстанавливает содержимое графического окна из файла с именем fname</summary>
+    </member>
+    <member name="M:FillWindow(System.String)">
+      <summary>Заполняет содержимое графического окна обоями из файла с именем fname</summary>
+    </member>
+    <member name="M:CloseWindow">
+      <summary>Закрывает графическое окно и завершает приложение</summary>
+    </member>
+    <member name="M:ScreenWidth">
+      <summary>Возвращает ширину экрана в пикселях</summary>
+    </member>
+    <member name="M:ScreenHeight">
+      <summary>Возвращает высоту экрана в пикселях</summary>
+    </member>
+    <member name="M:CenterWindow">
+      <summary>Центрирует графическое окно по центру экрана</summary>
+    </member>
+    <member name="M:MaximizeWindow">
+      <summary>Максимизирует графическое окно</summary>
+    </member>
+    <member name="M:MinimizeWindow">
+      <summary>Сворачивает графическое окно</summary>
+    </member>
+    <member name="M:NormalizeWindow">
+      <summary>Возвращает графическое окно к нормальному размеру</summary>
+    </member>
+    <member name="M:Redraw">
+      <summary>Перерисовывает содержимое графического окна. Вызывается в паре с LockDrawing</summary>
+    </member>
+    <member name="M:FullRedraw">
+      <summary>--</summary>
+    </member>
+    <member name="M:LockDrawing">
+      <summary>Блокирует рисование на графическом окне. Перерисовка графического окна выполняется с помощью Redraw</summary>
+    </member>
+    <member name="M:UnlockDrawing">
+      <summary>Снимает блокировку рисования на графическом окне и осуществляет его перерисовку</summary>
+    </member>
+    <member name="M:SetSmoothing(System.Boolean)">
+      <summary>Устанавливает режим сглаживания</summary>
+    </member>
+    <member name="M:SetSmoothingOn">
+      <summary>Включает режим сглаживания</summary>
+    </member>
+    <member name="M:SetSmoothingOff">
+      <summary>Выключает режим сглаживания</summary>
+    </member>
+    <member name="M:SmoothingIsOn">
+      <summary>Возвращает True, если режим сглаживания установлен</summary>
+    </member>
+    <member name="M:LockGraphics">
+      <summary>Блокирует прорисовку графики. Вызывается для синхронизации</summary>
+    </member>
+    <member name="M:UnLockGraphics">
+      <summary>Разблокирует прорисовку графики. Вызывается для синхронизации</summary>
+    </member>
+    <member name="M:SetCoordinateOrigin(System.Int32,System.Int32)">
+      <summary>Устанавливает начало координат в точку (x0,y0)</summary>
+    </member>
+    <member name="M:SetCoordinateScale(System.Double,System.Double)">
+      <summary>Устанавливает масштаб системы координат</summary>
+    </member>
+    <member name="M:SetCoordinateAngle(System.Double)">
+      <summary>Устанавливает поворот системы координат</summary>
+    </member>
+    <member name="M:Rect(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает прямоугольник, заданный координатами противоположных вершин</summary>
+    </member>
+    <member name="M:ClientRectangle">
+      <summary>Возвращает прямоугольник клиентской части главного окна</summary>
+    </member>
+    <member name="M:ScreenScale">
+      <summary>Коэффициент масштабирования экрана</summary>
+    </member>
+    <member name="M:ScreenSize">
+      <summary>Размер экрана в пикселах</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Double,System.Double,System.Double,System.Double,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует график функции f, заданной на отрезке [a,b] по оси абсцисс и на отрезке [min,max] по оси ординат, в прямоугольнике, задаваемом координатами x1,y1,x2,y2,</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Double,System.Double,System.Double,System.Double,System.Drawing.Rectangle)">
+      <summary>Рисует график функции f, заданной на отрезке [a,b] по оси абсцисс и на отрезке [min,max] по оси ординат, в прямоугольнике r</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Double,System.Double,System.Double,System.Double)">
+      <summary>Рисует график функции f, заданной на отрезке [a,b] по оси абсцисс и на отрезке [min,max] по оси ординат, на полное графическое окно</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Double,System.Double,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Рисует график функции f, заданной на отрезке [a,b], в прямоугольнике, задаваемом координатами x1,y1,x2,y2,</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Double,System.Double,System.Drawing.Rectangle)">
+      <summary>Рисует график функции f, заданной на отрезке [a,b], в прямоугольнике r</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Drawing.Rectangle)">
+      <summary>Рисует график функции f, заданной на отрезке [-5,5], в прямоугольнике r</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double},System.Double,System.Double)">
+      <summary>Рисует график функции f, заданной на отрезке [a,b], на полное графическое окно</summary>
+    </member>
+    <member name="M:Draw(System.Func{System.Double,System.Double})">
+      <summary>Рисует график функции f, заданной на отрезке [-5,5], на полное графическое окно</summary>
+    </member>
+    <member name="M:Draw(System.String,System.Int32,System.Int32)">
+      <summary>Выводит растровое изображение из файла с именем fname в позицию x,y</summary>
+    </member>
+    <member name="M:Draw(System.String,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Выводит растровое изображение из файла с именем fname в позицию x,y, масштабируя его к размеру w на h</summary>
+    </member>
+    <member name="M:Draw(System.String,System.Int32,System.Int32,System.Double)">
+      <summary>Выводит растровое изображение из файла с именем fname в позицию x,y, масштабируя его с коэффициентом Scale</summary>
+    </member>
+    <member name="M:InitGraphABC">
+      <summary>Инициализирует графическое окно. Используется для внутренних целей</summary>
+    </member>
+    <member name="M:CreatePicture(GraphABC.Picture@,System.Int32,System.Int32)">
+      <summary>Создает рисунок размера w на h пикселов и записывает его в переменную p</summary>
+    </member>
+    <member name="M:Window">
+      <summary>Возвращает окно графического приложения</summary>
+    </member>
+    <member name="M:MainForm">
+      <summary>Возвращает главную форму графического приложения</summary>
+    </member>
+    <member name="M:GraphABCControl">
+      <summary>Возвращает графический компонент</summary>
+    </member>
+    <member name="M:Pen">
+      <summary>Возвращает текущее перо</summary>
+    </member>
+    <member name="M:Brush">
+      <summary>Возвращает текущую кисть</summary>
+    </member>
+    <member name="M:Font">
+      <summary>Возвращает текущий шрифт</summary>
+    </member>
+    <member name="M:Coordinate">
+      <summary>Возвращает систему координат GraphABC</summary>
+    </member>
+    <member name="M:StatusBar">
+      <summary>Строка статуса</summary>
+    </member>
+    <member name="M:SetConsoleIO">
+      <summary>Устанавливает консольный ввод-вывод</summary>
+    </member>
+    <member name="M:SetGraphABCIO">
+      <summary>Устанавливает ввод-вывод через графическое окно (по умолчанию)</summary>
+    </member>
+    <member name="M:__InitModule__">
+      <summary>--</summary>
+    </member>
+    <member name="V:OnMouseDown">
+      <summary>Событие нажатия на кнопку мыши. (x,y) - координаты курсора мыши в момент наступления события, mousebutton = 1, если нажата левая кнопка мыши, и 2, если нажата правая кнопка мыши</summary>
+    </member>
+    <member name="V:OnMouseUp">
+      <summary>Событие отжатия кнопки мыши. (x,y) - координаты курсора мыши в момент наступления события, mousebutton = 1, если отжата левая кнопка мыши, и 2, если отжата правая кнопка мыши</summary>
+    </member>
+    <member name="V:OnMouseMove">
+      <summary>Событие перемещения мыши. (x,y) - координаты курсора мыши в момент наступления события, mousebutton = 0, если кнопка мыши не нажата, 1, если нажата левая кнопка мыши, и 2, если нажата правая кнопка мыши</summary>
+    </member>
+    <member name="V:OnKeyDown">
+      <summary>Событие нажатия клавиши</summary>
+    </member>
+    <member name="V:OnKeyUp">
+      <summary>Событие отжатия клавиши</summary>
+    </member>
+    <member name="V:OnKeyPress">
+      <summary>Событие нажатия символьной клавиши</summary>
+    </member>
+    <member name="V:OnResize">
+      <summary>Событие изменения размера графического окна</summary>
+    </member>
+    <member name="V:OnClose">
+      <summary>Событие закрытия графического окна</summary>
+    </member>
+    <member name="V:RedrawProc">
+      <summary>Процедурная переменная перерисовки графического окна. Если равна nil, то используется стандартная перерисовка</summary>
+    </member>
+    <member name="V:DrawInBuffer">
+      <summary>Следует ли рисовать во внеэкранном буфере</summary>
+    </member>
+  </members>
+</doc>
\ No newline at end of file
diff --git a/bin/Lib/PABCSystem.xml b/bin/Lib/PABCSystem.xml
new file mode 100644
index 000000000..6bb762c4d
--- /dev/null
+++ b/bin/Lib/PABCSystem.xml
@@ -0,0 +1,4322 @@
+<?xml version="1.0" encoding="utf-8"?>
+<doc>
+  <unit name="PABCSystem">Стандартный модуль
+ !! System unit</unit>
+  <members>
+    <member name="T:IOSystem">
+      <summary>Интерфейс подсистемы ввода/вывода</summary>
+    </member>
+    <member name="T:IOStandardSystem">
+      <summary>Стандартная подсистема ввода-вывода</summary>
+    </member>
+    <member name="T:Text">
+      <summary>Тип текстового файла</summary>
+    </member>
+    <member name="M:Text.ReadInteger">
+      <summary>Возвращает значение типа integer, введенное из текстового файла</summary>
+    </member>
+    <member name="M:Text.ReadReal">
+      <summary>Возвращает значение типа real, введенное из текстового файла</summary>
+    </member>
+    <member name="M:Text.ReadChar">
+      <summary>Возвращает значение типа char, введенное из текстового файла</summary>
+    </member>
+    <member name="M:Text.ReadString">
+      <summary>Возвращает значение типа string, введенное из текстового файла, без перехода на следующую строку</summary>
+    </member>
+    <member name="M:Text.ReadBoolean">
+      <summary>Возвращает значение типа boolean, введенное из текстового файла</summary>
+    </member>
+    <member name="M:Text.ReadWord">
+      <summary>Возвращает слово, введенное из текстового файла</summary>
+    </member>
+    <member name="M:Text.ReadlnInteger">
+      <summary>Возвращает значение типа integer, введенное из текстового файла, и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.ReadlnReal">
+      <summary>Возвращает значение типа real, введенное из текстового файла, и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.ReadlnChar">
+      <summary>Возвращает значение типа char, введенное из текстового файла, и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.ReadlnString">
+      <summary>Возвращает значение типа string, введенное из текстового файла, и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.ReadlnBoolean">
+      <summary>Возвращает значение типа boolean, введенное из текстового файла, и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.Readln">
+      <summary>Переходит в файле на следующую строку</summary>
+    </member>
+    <member name="M:Text.Write(System.Object[])">
+      <summary>Записывает в текстовый файл значения</summary>
+    </member>
+    <member name="M:Text.Writeln(System.Object[])">
+      <summary>Записывает в текстовый файл значения и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.Print(System.Object[])">
+      <summary>Записывает в текстовый файл значения, разделяя их пробелами</summary>
+    </member>
+    <member name="M:Text.Println(System.Object[])">
+      <summary>Записывает в текстовый файл значения, разделяя их пробелами, и переходит на следующую строку</summary>
+    </member>
+    <member name="M:Text.Eof">
+      <summary>Возвращает True, если достигнут конец файла, и False в противном случае</summary>
+    </member>
+    <member name="M:Text.Eoln">
+      <summary>Возвращает True, если достигнут конец строки, и False в противном случае</summary>
+    </member>
+    <member name="M:Text.Close">
+      <summary>Закрывает файл</summary>
+    </member>
+    <member name="M:Text.SeekEof">
+      <summary>Пропускает пробельные символы, после чего возвращает True, если достигнут конец файла</summary>
+    </member>
+    <member name="M:Text.SeekEoln">
+      <summary>Пропускает пробельные символы, после чего возвращает True, если достигнут конец строки в файле</summary>
+    </member>
+    <member name="M:Text.Flush">
+      <summary>Записывает содержимое буфера файла на диск</summary>
+    </member>
+    <member name="M:Text.Erase">
+      <summary>Удаляет файл</summary>
+    </member>
+    <member name="M:Text.Rename(System.String)">
+      <summary>Переименовывает файл, давая ему имя newname</summary>
+    </member>
+    <member name="M:Text.Name">
+      <summary>Возвращает имя файла</summary>
+    </member>
+    <member name="M:Text.FullName">
+      <summary>Возвращает полное имя файла</summary>
+    </member>
+    <member name="M:Text.ReadToEnd">
+      <summary>Возвращает в виде строки содержимое файла от текущего положения до конца</summary>
+    </member>
+    <member name="M:Text.Reset">
+      <summary>Открывает текстовый файл на чтение в кодировке Windows</summary>
+    </member>
+    <member name="M:Text.Reset(System.Text.Encoding)">
+      <summary>Открывает текстовый файл на чтение в указанной кодировке</summary>
+    </member>
+    <member name="M:Text.Rewrite">
+      <summary>Открывает текстовый файл на запись в кодировке Windows</summary>
+    </member>
+    <member name="M:Text.Rewrite(System.Text.Encoding)">
+      <summary>Открывает текстовый файл на запись в указанной кодировке</summary>
+    </member>
+    <member name="M:Text.Append">
+      <summary>Открывает текстовый файл на дополнение в кодировке Windows</summary>
+    </member>
+    <member name="M:Text.Append(System.Text.Encoding)">
+      <summary>Открывает текстовый файл на дополнение в указанной кодировке</summary>
+    </member>
+    <member name="M:Text.Lines">
+      <summary>Возвращает последовательность строк открытого текстового файла</summary>
+    </member>
+    <member name="T:Diapason">
+      <summary>--</summary>
+    </member>
+    <member name="T:TypedSet">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.#ctor">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.#ctor(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.#ctor(System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.#ctor(System.Byte[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.#ctor(PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.#ctor(System.Object,System.Object,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.CreateIfNeed">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.Clip">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.Clip(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSet.Init(System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="T:AbstractBinaryFile">
+      <summary>--</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Close">
+      <summary>Закрывает файл</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Truncate">
+      <summary>Усекает двоичный файл, отбрасывая все элементы с позиции файлового указателя</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Eof">
+      <summary>Возвращает True, если достигнут конец файла</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Erase">
+      <summary>Удаляет файл</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Rename(System.String)">
+      <summary>Переименовывает файл, давая ему имя newname</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Write(System.Object[])">
+      <summary>- f.Write(a,b,...)
+ Выводит значения a,b,... в двоичный файл</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Reset">
+      <summary>Открывает существующий двоичный файл на чтение и запись. Устанавливает файловый указатель на начало файла</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Rewrite">
+      <summary>Открывает двоичный файл на чтение и запись. Если файл не существовал, он создаётся, если существовал, он обнуляется</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.Name">
+      <summary>Возвращает имя файла</summary>
+    </member>
+    <member name="M:AbstractBinaryFile.FullName">
+      <summary>Возвращает полное имя файла</summary>
+    </member>
+    <member name="T:TypedFile">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedFile.Size">
+      <summary>Возвращает количество элементов в типизированном файле</summary>
+    </member>
+    <member name="M:TypedFile.Seek(System.Int64)">
+      <summary>Устанавливает текущую позицию файлового указателя в типизированном файле на элемент с номером n</summary>
+    </member>
+    <member name="P:TypedFile.Position">
+      <summary>Возвращает или устанавливает текущую позицию файлового указателя в типизированном файле</summary>
+    </member>
+    <member name="T:BinaryFile">
+      <summary>--</summary>
+    </member>
+    <member name="M:BinaryFile.Reset(System.Text.Encoding)">
+      <summary>Открывает существующий бестиповой файл на чтение и запись в указанной кодировке</summary>
+    </member>
+    <member name="M:BinaryFile.Rewrite(System.Text.Encoding)">
+      <summary>Открывает существующий бестиповой файл на чтение и запись в указанной кодировке. Если файл не существовал, он создаётся, если существовал, он обнуляется</summary>
+    </member>
+    <member name="M:BinaryFile.Size">
+      <summary>Возвращает количество байт в бестиповом файле</summary>
+    </member>
+    <member name="M:BinaryFile.Seek(System.Int64)">
+      <summary>Устанавливает текущую позицию файлового указателя в бестиповом файле на байт с номером n</summary>
+    </member>
+    <member name="M:BinaryFile.WriteBytes(System.Byte[])">
+      <summary>Записывает данные из байтового массива в бестиповой файл</summary>
+    </member>
+    <member name="M:BinaryFile.ReadBytes(System.Int32)">
+      <summary>Считывает указанное количество байтов из бестипового файла в байтовый массив</summary>
+    </member>
+    <member name="M:BinaryFile.ReadInteger">
+      <summary>Считывает целое из бестипового файла</summary>
+    </member>
+    <member name="M:BinaryFile.ReadBoolean">
+      <summary>Считывает логическое из бестипового файла</summary>
+    </member>
+    <member name="M:BinaryFile.ReadByte">
+      <summary>Считывает байт из бестипового файла</summary>
+    </member>
+    <member name="M:BinaryFile.ReadChar">
+      <summary>Считывает символ из бестипового файла</summary>
+    </member>
+    <member name="M:BinaryFile.ReadReal">
+      <summary>Считывает вещественное из бестипового файла</summary>
+    </member>
+    <member name="M:BinaryFile.ReadString">
+      <summary>Считывает строку из бестипового файла</summary>
+    </member>
+    <member name="M:BinaryFile.Serialize(System.Object)">
+      <summary>Сериализует объект в файл (объект должен иметь атрибут [Serializable])</summary>
+    </member>
+    <member name="M:BinaryFile.Deserialize">
+      <summary>Десериализует объект из файла</summary>
+    </member>
+    <member name="P:BinaryFile.Position">
+      <summary>Возвращает или устанавливает текущую позицию файлового указателя в бестиповом файле</summary>
+    </member>
+    <member name="T:IntRange">
+      <summary>Тип диапазона целых</summary>
+    </member>
+    <member name="M:IntRange.IsEmpty">
+      <summary>Возвращает True если диапазон пуст</summary>
+    </member>
+    <member name="T:CharRange">
+      <summary>Тип диапазона символов</summary>
+    </member>
+    <member name="M:CharRange.IsEmpty">
+      <summary>Возвращает True если диапазон пуст</summary>
+    </member>
+    <member name="T:RealRange">
+      <summary>Тип диапазона вещественных</summary>
+    </member>
+    <member name="M:RealRange.IsEmpty">
+      <summary>Возвращает True если диапазон пуст</summary>
+    </member>
+    <member name="T:SystemIndex">
+      <summary>Тип для представления индекса</summary>
+    </member>
+    <member name="T:BadGenericInstanceParameterException">
+      <summary>Базовый класс для исключений, бросаемых при создании инстанции generic-типа</summary>
+    </member>
+    <member name="T:CanNotUseTypeForPointersException">
+      <summary>Бросается если тип непригоден для указателей</summary>
+    </member>
+    <member name="T:CanNotUseTypeForTypedFilesException">
+      <summary>Бросается если тип непригоден для типизированных файлов</summary>
+    </member>
+    <member name="T:CanNotUseTypeForFilesException">
+      <summary>Бросается если тип непригоден для бинарных файлов</summary>
+    </member>
+    <member name="T:GCHandlersController">
+      <summary>--</summary>
+    </member>
+    <member name="T:PointerOutput">
+      <summary>--</summary>
+    </member>
+    <member name="T:__ConceptSingleton`1">
+      <summary>--</summary>
+    </member>
+    <member name="T:PrintAttribute">
+      <summary>Класс атрибута форматирования текста</summary>
+    </member>
+    <member name="T:ZeroStepException">
+      <summary>--</summary>
+    </member>
+    <member name="T:Object">
+      <summary>Базовый тип объектов</summary>
+    </member>
+    <member name="T:Exception">
+      <summary>Базовый тип исключений</summary>
+    </member>
+    <member name="T:double">
+      <summary>double = real</summary>
+    </member>
+    <member name="T:longint">
+      <summary>longint = integer</summary>
+    </member>
+    <member name="T:cardinal">
+      <summary>cardinal = longword</summary>
+    </member>
+    <member name="T:decimal">
+      <summary>Представляет 128-битное вещественное число
+ !! Represents a decimal number</summary>
+    </member>
+    <member name="T:BigInteger">
+      <summary>Представляет произвольно большое целое число</summary>
+    </member>
+    <member name="T:DateTime">
+      <summary>Представляет дату и время</summary>
+    </member>
+    <member name="T:Complex">
+      <summary>Представляет комплексное число</summary>
+    </member>
+    <member name="T:Tuple">
+      <summary>Представляет кортеж</summary>
+    </member>
+    <member name="T:StringBuilder">
+      <summary>Представляет изменяемую строку символов</summary>
+    </member>
+    <member name="T:Encoding">
+      <summary>Тип кодировки символов</summary>
+    </member>
+    <member name="T:Console">
+      <summary>Класс, управляющий консольным окном и консольным вводом-выводом</summary>
+    </member>
+    <member name="T:GC">
+      <summary>Класс, управляющий сборкой мусора</summary>
+    </member>
+    <member name="T:Action0">
+      <summary>Представляет действие без параметров</summary>
+    </member>
+    <member name="T:IntFunc">
+      <summary>Представляет функцию с одним параметром целого типа, возвращающую целое</summary>
+    </member>
+    <member name="T:RealFunc">
+      <summary>Представляет функцию с одним параметром вещественного типа, возвращающую вещественное</summary>
+    </member>
+    <member name="T:StringFunc">
+      <summary>Представляет функцию с одним параметром строкового типа, возвращающую строку</summary>
+    </member>
+    <member name="T:Regex">
+      <summary>Представляет регулярное выражение</summary>
+    </member>
+    <member name="T:Match">
+      <summary>Представляет результаты из отдельного совпадения регулярного выражения</summary>
+    </member>
+    <member name="T:MatchEvaluator">
+      <summary>Представляет метод, вызываемый при обнаружении совпадения в Regex.Replace</summary>
+    </member>
+    <member name="T:MatchCollection">
+      <summary>Представляет набор успешных совпадений регулярного выражения</summary>
+    </member>
+    <member name="T:RegexOptions">
+      <summary>Представляет параметры регулярного выражения</summary>
+    </member>
+    <member name="T:RegexGroup">
+      <summary>Представляет результаты из одной группы при выполнении Regex.Match</summary>
+    </member>
+    <member name="T:RegexGroupCollection">
+      <summary>Представляет результаты из набора групп при выполнении Regex.Match</summary>
+    </member>
+    <member name="T:Stopwatch">
+      <summary>Предоставляет методы для точного измерения затраченного времени</summary>
+    </member>
+    <member name="T:Convert">
+      <summary>Преобразует значение одного базового типа к другому базовому типу</summary>
+    </member>
+    <member name="T:Serializable">
+      <summary>Указывает на возможность сериализации класса</summary>
+    </member>
+    <member name="T:NonSerialized">
+      <summary>Указывает, что поле сериализуемого класса не должно быть сериализовано</summary>
+    </member>
+    <member name="T:ShortString">
+      <summary>Представляет тип короткой строки фиксированной длины 255 символов</summary>
+    </member>
+    <member name="T:TextFile">
+      <summary>Тип текстового файла</summary>
+    </member>
+    <member name="M:Read">
+      <summary>- procedure Read(a,b,...);
+ Вводит значения a,b,... с клавиатуры</summary>
+    </member>
+    <member name="M:Read(System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Double@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Char@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Byte@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.SByte@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Int16@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.UInt16@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.UInt32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Int64@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.UInt64@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Single@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Boolean@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(System.Numerics.BigInteger@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Readln">
+      <summary>- procedure Readln(a,b,...);
+ Вводит значения a,b,... с клавиатуры и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:TryRead(System.Int32@,System.String)">
+      <summary>- function TryRead(var x: число): boolean;
+ Вводит числовое значение x с клавиатуры. Возвращает False если при вводе произошла ошибка</summary>
+    </member>
+    <member name="M:TryRead(System.Double@,System.String)">
+      <summary>- function TryRead(var x: число; message: string): boolean;
+ Выводит приглашение к вводу и вводит числовое значение x с клавиатуры. Возвращает False если при вводе произошла ошибка</summary>
+    </member>
+    <member name="M:TryRead(System.Byte@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.SByte@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.Int16@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.UInt16@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.UInt32@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.Int64@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.UInt64@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.Single@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.Numerics.BigInteger@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TryRead(System.Boolean@,System.String)">
+      <summary>Вводит логическое значение x с клавиатуры. Возвращает False если при вводе произошла ошибка</summary>
+    </member>
+    <member name="M:ReadInteger">
+      <summary>Возвращает значение типа integer, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadInt64">
+      <summary>Возвращает значение типа int64, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal">
+      <summary>Возвращает значение типа real, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar">
+      <summary>Возвращает значение типа char, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString">
+      <summary>Возвращает значение типа string, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadBoolean">
+      <summary>Возвращает значение типа boolean, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadBigInteger">
+      <summary>Возвращает значение типа BigInteger, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadLexem">
+      <summary>Возвращает следующую лексему</summary>
+    </member>
+    <member name="M:ReadlnInteger">
+      <summary>Возвращает значение типа integer, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnInt64">
+      <summary>Возвращает значение типа int64, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal">
+      <summary>Возвращает значение типа real, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar">
+      <summary>Возвращает значение типа char, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString">
+      <summary>Возвращает значение типа string, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnBoolean">
+      <summary>Возвращает значение типа boolean, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnBigInteger">
+      <summary>Возвращает значение типа BigInteger, введенное с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger2">
+      <summary>Возвращает кортеж из двух значений типа integer, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal2">
+      <summary>Возвращает кортеж из двух значений типа real, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar2">
+      <summary>Возвращает кортеж из двух значений типа char, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString2">
+      <summary>Возвращает кортеж из двух значений типа string, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger2">
+      <summary>Возвращает кортеж из двух значений типа integer, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal2">
+      <summary>Возвращает кортеж из двух значений типа real, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar2">
+      <summary>Возвращает кортеж из двух значений типа char, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString2">
+      <summary>Возвращает кортеж из двух значений типа string, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger3">
+      <summary>Возвращает кортеж из трёх значений типа integer, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal3">
+      <summary>Возвращает кортеж из трёх значений типа real, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar3">
+      <summary>Возвращает кортеж из трёх значений типа char, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString3">
+      <summary>Возвращает кортеж из трёх значений типа string, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger3">
+      <summary>Возвращает кортеж из трёх значений типа integer, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal3">
+      <summary>Возвращает кортеж из трёх значений типа real, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar3">
+      <summary>Возвращает кортеж из трёх значений типа char, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString3">
+      <summary>Возвращает кортеж из трёх значений типа string, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger4">
+      <summary>Возвращает кортеж из четырёх значений типа integer, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal4">
+      <summary>Возвращает кортеж из четырёх значений типа real, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar4">
+      <summary>Возвращает кортеж из четырёх значений типа char, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString4">
+      <summary>Возвращает кортеж из четырёх значений типа string, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger4">
+      <summary>Возвращает кортеж из четырёх значений типа integer, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal4">
+      <summary>Возвращает кортеж из четырёх значений типа real, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar4">
+      <summary>Возвращает кортеж из четырёх значений типа char, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString4">
+      <summary>Возвращает кортеж из четырёх значений типа string, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа integer, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа real, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа char, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа string, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа integer, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа real, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа char, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString2(System.String)">
+      <summary>Возвращает кортеж из двух значений типа string, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа integer, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа real, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа char, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа string, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа integer, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа real, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа char, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString3(System.String)">
+      <summary>Возвращает кортеж из трёх значений типа string, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа integer, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа real, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа char, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа string, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа integer, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа real, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа char, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString4(System.String)">
+      <summary>Возвращает кортеж из четырёх значений типа string, введенных с клавиатуры, и переходит на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadInteger(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа integer, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadInt64(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа int64, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadReal(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа real, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadChar(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа char, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadString(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа string, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadBoolean(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа boolean, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadBigInteger(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа BigInteger, введенное с клавиатуры</summary>
+    </member>
+    <member name="M:ReadlnInteger(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа integer, введенное с клавиатуры, 
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnInt64(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа int64, введенное с клавиатуры, 
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnReal(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа real, введенное с клавиатуры, 
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnChar(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа char, введенное с клавиатуры, 
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnString(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа string, введенное с клавиатуры, 
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnBoolean(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа boolean, введенное с клавиатуры, 
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadlnBigInteger(System.String)">
+      <summary>Выводит приглашение к вводу и возвращает значение типа BigInteger, введенное с клавиатуры,
+и осуществляет переход на следующую строку ввода</summary>
+    </member>
+    <member name="M:ReadShortString(System.String@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ReadShortStringFromFile(PABCSystem.Text,System.String@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text)">
+      <summary>- procedure Read(f: файл; a,b,...);
+ Вводит значения a,b,... из файла f</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Double@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Char@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Byte@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.SByte@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Int16@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.UInt16@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.UInt32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Int64@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.UInt64@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Single@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Read(PABCSystem.Text,System.Boolean@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Readln(PABCSystem.Text)">
+      <summary>- procedure Readln(f: Text; a,b,...);
+ Вводит значения a,b,... из текстового файла f и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:Readln(PABCSystem.Text,System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ReadInteger(PABCSystem.Text)">
+      <summary>Возвращает значение типа integer, введенное из текстового файла f</summary>
+    </member>
+    <member name="M:ReadInt64(PABCSystem.Text)">
+      <summary>Возвращает значение типа int64, введенное из текстового файла f</summary>
+    </member>
+    <member name="M:ReadReal(PABCSystem.Text)">
+      <summary>Возвращает значение типа real, введенное из текстового файла f</summary>
+    </member>
+    <member name="M:ReadChar(PABCSystem.Text)">
+      <summary>Возвращает значение типа char, введенное из текстового файла f</summary>
+    </member>
+    <member name="M:ReadString(PABCSystem.Text)">
+      <summary>Возвращает значение типа string, введенное из текстового файла f</summary>
+    </member>
+    <member name="M:ReadBoolean(PABCSystem.Text)">
+      <summary>Возвращает значение типа boolean, введенное из текстового файла f</summary>
+    </member>
+    <member name="M:ReadLexem(PABCSystem.Text)">
+      <summary>Возвращает следующую лексему из текстового файла f</summary>
+    </member>
+    <member name="M:ReadlnInteger(PABCSystem.Text)">
+      <summary>Возвращает значение типа integer, введенное из текстового файла f, 
+и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:ReadlnInt64(PABCSystem.Text)">
+      <summary>Возвращает значение типа int64, введенное из текстового файла f, 
+и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:ReadlnReal(PABCSystem.Text)">
+      <summary>Возвращает значение типа real, введенное из текстового файла f, 
+и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:ReadlnChar(PABCSystem.Text)">
+      <summary>Возвращает значение типа char, введенное из текстового файла f, 
+и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:ReadlnString(PABCSystem.Text)">
+      <summary>Возвращает значение типа string, введенное из текстового файла f, 
+и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:ReadlnBoolean(PABCSystem.Text)">
+      <summary>Возвращает значение типа boolean, введенное из текстового файла f, 
+и осуществляет переход на следующую строку</summary>
+    </member>
+    <member name="M:Write">
+      <summary>- procedure Write(a,b,...);
+ Выводит значения a,b,... на экран</summary>
+    </member>
+    <member name="M:Write(System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Write(System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Write(System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln">
+      <summary>- procedure Writeln(a,b,...);
+ Выводит значения a,b,... на экран и осуществляет переход на новую строку
+!!- Writeln(a,b,...)
+ Writes a,b,... to standart output stream and appends newline</summary>
+    </member>
+    <member name="M:Writeln(System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:Write(PABCSystem.Text)">
+      <summary>- procedure Write(f: файл; a,b,...);
+ Выводит значения a,b,... в файл f</summary>
+    </member>
+    <member name="M:Write(PABCSystem.Text,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Write(PABCSystem.Text,System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(PABCSystem.Text)">
+      <summary>- procedure Writeln(f: Text; a,b,...);
+ Выводит значения a,b,... в текстовый файл f и осуществляет переход на новую строку</summary>
+    </member>
+    <member name="M:Writeln(PABCSystem.Text,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(PABCSystem.Text,System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:WriteFormat(System.String,System.Object[])">
+      <summary>Выводит значения args согласно форматной строке formatstr</summary>
+    </member>
+    <member name="M:WritelnFormat(System.String,System.Object[])">
+      <summary>Выводит значения args согласно форматной строке formatstr и осуществляет переход на новую строку</summary>
+    </member>
+    <member name="M:WriteFormat(PABCSystem.Text,System.String,System.Object[])">
+      <summary>Выводит значения args в текстовый файл f согласно форматной строке formatstr</summary>
+    </member>
+    <member name="M:WritelnFormat(PABCSystem.Text,System.String,System.Object[])">
+      <summary>Выводит значения args в текстовый файл f согласно форматной строке formatstr
+и осуществляет переход на новую строку</summary>
+    </member>
+    <member name="M:Print(System.Object)">
+      <summary>- procedure Print(a,b,...);
+ Выводит значения a,b,... на экран, после каждого значения выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Print(System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:Print(PABCSystem.Text,System.Object[])">
+      <summary>- procedure Print(f: Text; a,b,...);
+ Выводит значения a,b,... в текстовый файл f, после каждого значения выводит пробел</summary>
+    </member>
+    <member name="M:Println(System.Object[])">
+      <summary>- procedure Println(a,b,...);
+ Выводит значения a,b,... на экран, после каждого значения выводит пробел и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(PABCSystem.Text,System.Object[])">
+      <summary>- procedure Println(f: Text; a,b,...);
+ Выводит значения a,b,... в текстовый файл f, после каждого значения выводит пробел и переходит на новую строку</summary>
+    </member>
+    <member name="M:Serialize(System.String,System.Object)">
+      <summary>Сериализует объект в файл (объект должен иметь атрибут [Serializable])</summary>
+    </member>
+    <member name="M:Deserialize(System.String)">
+      <summary>Десериализует объект из файла</summary>
+    </member>
+    <member name="M:Assign(PABCSystem.AbstractBinaryFile,System.String)">
+      <summary>- procedure Assign(f: файл; fileName: string);
+ Связывает файловую переменную с файлом на диске</summary>
+    </member>
+    <member name="M:AssignFile(PABCSystem.AbstractBinaryFile,System.String)">
+      <summary>- procedure AssignFile(f: файл; fileName: string);
+ Связывает файловую переменную с файлом на диске</summary>
+    </member>
+    <member name="M:Close(PABCSystem.AbstractBinaryFile)">
+      <summary>- procedure Close(f: файл);
+ Закрывает файл</summary>
+    </member>
+    <member name="M:CloseFile(PABCSystem.AbstractBinaryFile)">
+      <summary>- procedure CloseFile(f: файл);
+ Закрывает файл</summary>
+    </member>
+    <member name="M:Eof(PABCSystem.AbstractBinaryFile)">
+      <summary>- function Eof(f: файл): boolean;
+ Возвращает True, если достигнут конец файла</summary>
+    </member>
+    <member name="M:Erase(PABCSystem.AbstractBinaryFile)">
+      <summary>- procedure Erase(f: файл);
+ Удаляет файл, связанный с файловой переменной</summary>
+    </member>
+    <member name="M:Rename(PABCSystem.AbstractBinaryFile,System.String)">
+      <summary>- procedure Rename(f: файл; newname: string);
+ Переименовывает файл, связаный с файловой переменной, давая ему имя newname.</summary>
+    </member>
+    <member name="M:Assign(PABCSystem.Text,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:AssignFile(PABCSystem.Text,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Close(PABCSystem.Text)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CloseFile(PABCSystem.Text)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.Text)">
+      <summary>Открывает текстовый файл на чтение в кодировке Windows</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.Text,System.Text.Encoding)">
+      <summary>Открывает текстовый файл на чтение в указанной кодировке</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.Text,System.String)">
+      <summary>Связывает файловую переменную f с именем файла fileName и открывает текстовый файл на чтение в кодировке Windows</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.Text,System.String,System.Text.Encoding)">
+      <summary>Связывает файловую переменную f с именем файла fileName и открывает текстовый файл на чтение в указанной кодировке</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.Text)">
+      <summary>Открывает текстовый файл на запись в кодировке Windows. 
+Если файл существовал - он обнуляется, если нет - создается пустой</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.Text,System.Text.Encoding)">
+      <summary>Открывает текстовый файл на запись в указанной кодировке. 
+Если файл существовал - он обнуляется, если нет - создается пустой</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.Text,System.String)">
+      <summary>Связывает файловую переменную с именем файла fileName и открывает текстовый файл f на запись в кодировке Windows. 
+Если файл существовал - он обнуляется, если нет - создается пустой</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.Text,System.String,System.Text.Encoding)">
+      <summary>Связывает файловую переменную f с именем файла fileName и открывает текстовый файл f на запись в указанной кодировке. 
+Если файл существовал - он обнуляется, если нет - создается пустой</summary>
+    </member>
+    <member name="M:Append(PABCSystem.Text)">
+      <summary>Открывает текстовый файл на дополнение в кодировке Windows</summary>
+    </member>
+    <member name="M:Append(PABCSystem.Text,System.Text.Encoding)">
+      <summary>Открывает текстовый файл на дополнение в указанной кодировке</summary>
+    </member>
+    <member name="M:Append(PABCSystem.Text,System.String)">
+      <summary>Связывает файловую переменную f с именем файла fileName и открывает текстовый файл на дополнение в кодировке Windows</summary>
+    </member>
+    <member name="M:Append(PABCSystem.Text,System.String,System.Text.Encoding)">
+      <summary>Связывает файловую переменную f с именем файла fileName и открывает текстовый файл на дополнение в указанной кодировке</summary>
+    </member>
+    <member name="M:OpenRead(System.String)">
+      <summary>Возвращает текстовый файл с именем fileName, открытый на чтение в кодировке Windows</summary>
+    </member>
+    <member name="M:OpenRead(System.String,System.Text.Encoding)">
+      <summary>Возвращает текстовый файл с именем fileName, открытый на чтение в указанной кодировке</summary>
+    </member>
+    <member name="M:OpenWrite(System.String)">
+      <summary>Возвращает текстовый файл с именем fileName, открытый на запись в кодировке Windows</summary>
+    </member>
+    <member name="M:OpenWrite(System.String,System.Text.Encoding)">
+      <summary>Возвращает текстовый файл с именем fileName, открытый на запись в указанной кодировке</summary>
+    </member>
+    <member name="M:OpenAppend(System.String)">
+      <summary>Возвращает текстовый файл с именем fileName, открытый на дополнение в кодировке Windows</summary>
+    </member>
+    <member name="M:OpenAppend(System.String,System.Text.Encoding)">
+      <summary>Возвращает текстовый файл с именем fileName, открытый на дополнение в указанной кодировке</summary>
+    </member>
+    <member name="M:Eof(PABCSystem.Text)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Eoln(PABCSystem.Text)">
+      <summary>Возвращает True, если в файле достигнут конец строки</summary>
+    </member>
+    <member name="M:SeekEof(PABCSystem.Text)">
+      <summary>Пропускает пробельные символы, после чего возвращает True, если достигнут конец файла</summary>
+    </member>
+    <member name="M:SeekEoln(PABCSystem.Text)">
+      <summary>Пропускает пробельные символы, после чего возвращает True, если в файле достигнут конец строки</summary>
+    </member>
+    <member name="M:Flush(PABCSystem.Text)">
+      <summary>Записывает содержимое буфера файла на диск</summary>
+    </member>
+    <member name="M:Erase(PABCSystem.Text)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Rename(PABCSystem.Text,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TextFileInit(PABCSystem.Text@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ReadLines(System.String)">
+      <summary>Открывает файл, считывает из него строки в кодировке Windows и закрывает файл. В каждый момент в памяти хранится только текущая строка</summary>
+    </member>
+    <member name="M:ReadLines(System.String,System.Text.Encoding)">
+      <summary>Открывает файл, считывает из него строки в указаной кодировке и закрывает файл. В каждый момент в памяти хранится только текущая строка</summary>
+    </member>
+    <member name="M:ReadAllLines(System.String)">
+      <summary>Открывает файл, считывает из него строки в кодировке Windows в виде массива строк, после чего закрывает файл</summary>
+    </member>
+    <member name="M:ReadAllLines(System.String,System.Text.Encoding)">
+      <summary>Открывает файл, считывает из него строки в указаной кодировке в виде массива строк, после чего закрывает файл</summary>
+    </member>
+    <member name="M:ReadAllText(System.String)">
+      <summary>Открывает файл, считывает его содержимое в кодировке Windows в виде строки, после чего закрывает файл</summary>
+    </member>
+    <member name="M:ReadAllText(System.String,System.Text.Encoding)">
+      <summary>Открывает файл, считывает его содержимое в указаной кодировке в виде строки, после чего закрывает файл</summary>
+    </member>
+    <member name="M:WriteLines(System.String,System.Collections.Generic.IEnumerable{System.String})">
+      <summary>Создает новый файл, записывает в него строки из последовательности в кодировке Windows, после чего закрывает файл</summary>
+    </member>
+    <member name="M:WriteLines(System.String,System.Collections.Generic.IEnumerable{System.String},System.Text.Encoding)">
+      <summary>Создает новый файл, записывает в него строки из последовательности в указанной кодировке, после чего закрывает файл</summary>
+    </member>
+    <member name="M:WriteAllLines(System.String,System.String[])">
+      <summary>Создает новый файл, записывает в него строки из массива в кодировке Windows, после чего закрывает файл</summary>
+    </member>
+    <member name="M:WriteAllLines(System.String,System.String[],System.Text.Encoding)">
+      <summary>Создает новый файл, записывает в него строки из массива в указанной кодировке, после чего закрывает файл</summary>
+    </member>
+    <member name="M:WriteAllText(System.String,System.String)">
+      <summary>Создает новый файл, записывает в него строку в кодировке Windows, после чего закрывает файл</summary>
+    </member>
+    <member name="M:WriteAllText(System.String,System.String,System.Text.Encoding)">
+      <summary>Создает новый файл, записывает в него строку в указанной кодировке, после чего закрывает файл</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.AbstractBinaryFile)">
+      <summary>- procedure Reset(f: двоичный файл);
+ Открывает двоичный файл на чтение и запись.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.AbstractBinaryFile,System.String)">
+      <summary>- procedure Reset(f: двоичный файл; fileName: string);
+ Связывает файловую переменную f с файлом name на диске и открывает двоичный файл на чтение и запись.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.AbstractBinaryFile)">
+      <summary>- procedure Rewrite(f: двоичный файл);
+ Открывает двоичный файл на чтение и запись, при этом обнуляя его содержимое. Если файл существовал, он обнуляется.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.AbstractBinaryFile,System.String)">
+      <summary>- procedure Rewrite(f: двоичный файл; fileName: string);
+ Связывает файловую переменную f с файлом fileName на диске и открывает двоичный файл на чтение и запись, при этом обнуляя его содержимое.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.AbstractBinaryFile,System.Text.Encoding)">
+      <summary>- procedure Reset(f: двоичный файл; en: Encoding);
+ Открывает двоичный файл на чтение и запись в заданной кодировке.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Reset(PABCSystem.AbstractBinaryFile,System.String,System.Text.Encoding)">
+      <summary>- procedure Reset(f: двоичный файл; fileName: string; en: Encoding);
+ Связывает файловую переменную f с файлом fileName на диске и открывает двоичный файл на чтение и запись в заданной кодировке.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.AbstractBinaryFile,System.Text.Encoding)">
+      <summary>- procedure Rewrite(f: двоичный файл; en: Encoding);
+ Открывает двоичный файл на чтение и запись в заданной кодировке, при этом обнуляя его содержимое. Если файл существовал, он обнуляется.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Rewrite(PABCSystem.AbstractBinaryFile,System.String,System.Text.Encoding)">
+      <summary>- procedure Rewrite(f: двоичный файл; fileName: string; en: Encoding);
+ Связывает файловую переменную f с файлом fileName на диске и открывает двоичный файл на чтение и запись в заданной кодировке, при этом обнуляя его содержимое.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Truncate(PABCSystem.AbstractBinaryFile)">
+      <summary>- procedure Truncate(f: двоичный файл);
+ Усекает двоичный файл, отбрасывая все элементы с позиции файлового указателя.
+Двоичный файл - это либо типизированный файл file of T, либо бестиповой файл file</summary>
+    </member>
+    <member name="M:Write(PABCSystem.AbstractBinaryFile,System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(PABCSystem.AbstractBinaryFile)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(PABCSystem.AbstractBinaryFile,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Writeln(PABCSystem.AbstractBinaryFile,System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:FilePos(PABCSystem.TypedFile)">
+      <summary>- function FilePos(f: двоичный файл): int64;
+ Возвращает текущую позицию файлового указателя в двоичном файле</summary>
+    </member>
+    <member name="M:FileSize(PABCSystem.TypedFile)">
+      <summary>- function FileSize(f: двоичный файл): int64;
+ Возвращает количество элементов в двоичном файле</summary>
+    </member>
+    <member name="M:Seek(PABCSystem.TypedFile,System.Int64)">
+      <summary>- procedure Seek(f: двоичный файл; n: int64);
+ Устанавливает текущую позицию файлового указателя в двоичном файле на элемент с данным номером</summary>
+    </member>
+    <member name="M:TypedFileInit(PABCSystem.TypedFile@,System.Type)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedFileInit(PABCSystem.TypedFile@,System.Type,System.Int32,System.Int32[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedFileInitWithShortString(PABCSystem.TypedFile@,System.Type,System.Int32,System.Int32[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedFileRead(PABCSystem.TypedFile)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FilePos(@file)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FileSize(@file)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Seek(@file,System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:BinaryFileInit(@file@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:BinaryFileRead(@file@,System.Type)">
+      <summary>--</summary>
+    </member>
+    <member name="M:PascalABCVersion">
+      <summary>Возвращает версию PascalABC.NET</summary>
+    </member>
+    <member name="M:ParamCount">
+      <summary>Возвращает количество параметров командной строки</summary>
+    </member>
+    <member name="M:ParamStr(System.Int32)">
+      <summary>Возвращает i-тый параметр командной строки</summary>
+    </member>
+    <member name="M:GetDir">
+      <summary>Возвращает текущий каталог</summary>
+    </member>
+    <member name="M:ChDir(System.String)">
+      <summary>Меняет текущий каталог</summary>
+    </member>
+    <member name="M:MkDir(System.String)">
+      <summary>Создает каталог</summary>
+    </member>
+    <member name="M:RmDir(System.String)">
+      <summary>Удаляет каталог</summary>
+    </member>
+    <member name="M:CreateDir(System.String)">
+      <summary>Создает каталог. Возвращает True, если каталог успешно создан</summary>
+    </member>
+    <member name="M:DeleteFile(System.String)">
+      <summary>Удаляет файл. Если файл не может быть удален, то возвращает False</summary>
+    </member>
+    <member name="M:GetCurrentDir">
+      <summary>Возвращает текущий каталог</summary>
+    </member>
+    <member name="M:RemoveDir(System.String)">
+      <summary>Удаляет каталог. Возвращает True, если каталог успешно удален</summary>
+    </member>
+    <member name="M:RenameFile(System.String,System.String)">
+      <summary>Переименовывает файл fileName, давая ему новое имя newfileName. Возвращает True, если файл успешно переименован</summary>
+    </member>
+    <member name="M:SetCurrentDir(System.String)">
+      <summary>Устанавливает текущий каталог. Возвращает True, если каталог успешно удален</summary>
+    </member>
+    <member name="M:ChangeFileNameExtension(System.String,System.String)">
+      <summary>Изменяет расширение файла с именем fileName на newExt</summary>
+    </member>
+    <member name="M:FileExists(System.String)">
+      <summary>Возвращает True, если файл с именем fileName существует</summary>
+    </member>
+    <member name="M:Assert(System.Boolean,System.String,System.Int32)">
+      <summary>- procedure Assert(cond: boolean);
+ Выводит в специальном окне стек вызовов подпрограмм если условие не выполняется</summary>
+    </member>
+    <member name="M:Assert(System.Boolean,System.String,System.String,System.Int32)">
+      <summary>- procedure Assert(cond: boolean; message: string);
+ Выводит в специальном окне диагностическое сообщение и стек вызовов подпрограмм если условие не выполняется</summary>
+    </member>
+    <member name="M:DiskFree(System.String)">
+      <summary>Возвращает свободное место в байтах на диске с именем diskname</summary>
+    </member>
+    <member name="M:DiskSize(System.String)">
+      <summary>Возвращает размер в байтах на диске с именем diskname</summary>
+    </member>
+    <member name="M:DiskFree(System.Int32)">
+      <summary>Возвращает свободное место в байтах на диске disk. disk=0 - текущий диск, disk=1 - диск A: , disk=2 - диск B: и т.д.</summary>
+    </member>
+    <member name="M:DiskSize(System.Int32)">
+      <summary>Возвращает размер в байтах на диске disk. disk=0 - текущий диск, disk=1 - диск A: , disk=2 - диск B: и т.д.</summary>
+    </member>
+    <member name="M:Milliseconds">
+      <summary>Возвращает количество миллисекунд с момента начала работы программы</summary>
+    </member>
+    <member name="M:MillisecondsDelta">
+      <summary>Возвращает количество миллисекунд с момента последнего вызова Milliseconds или MillisecondsDelta или начала программы</summary>
+    </member>
+    <member name="M:Halt">
+      <summary>Завершает работу программы</summary>
+    </member>
+    <member name="M:Halt(System.Int32)">
+      <summary>Завершает работу программы, возвращая код ошибки exitCode</summary>
+    </member>
+    <member name="M:Sleep(System.Int32)">
+      <summary>Делает паузу на ms миллисекунд</summary>
+    </member>
+    <member name="M:GetEXEFileName">
+      <summary>Возващает имя запущенного .exe-файла</summary>
+    </member>
+    <member name="M:PointerToString(System.Void*)">
+      <summary>Преобразует указатель к строковому представлению</summary>
+    </member>
+    <member name="M:TypeToTypeName(System.Type)">
+      <summary>Для типа System.Type возвращает имя типа объекта</summary>
+    </member>
+    <member name="M:TypeName(System.Object)">
+      <summary>Возвращает имя типа объекта</summary>
+    </member>
+    <member name="M:Exec(System.String)">
+      <summary>Запускает программу или документ с именем fileName</summary>
+    </member>
+    <member name="M:Exec(System.String,System.String)">
+      <summary>Запускает программу или документ с именем fileName и параметрами командной строки args</summary>
+    </member>
+    <member name="M:Execute(System.String)">
+      <summary>Запускает программу или документ с именем fileName</summary>
+    </member>
+    <member name="M:Execute(System.String,System.String)">
+      <summary>Запускает программу или документ с именем fileName и параметрами командной строки args</summary>
+    </member>
+    <member name="M:EnumerateFiles(System.String,System.String)">
+      <summary>Возвращает последовательность имен файлов по заданному пути, соответствующих шаблону поиска</summary>
+    </member>
+    <member name="M:EnumerateAllFiles(System.String,System.String)">
+      <summary>Возвращает последовательность имен файлов по заданному пути, соответствующих шаблону поиска, включая подкаталоги</summary>
+    </member>
+    <member name="M:EnumerateDirectories(System.String)">
+      <summary>Возвращает последовательность имен каталогов по заданному пути</summary>
+    </member>
+    <member name="M:EnumerateAllDirectories(System.String)">
+      <summary>Возвращает последовательность имен каталогов по заданному пути, включая подкаталоги</summary>
+    </member>
+    <member name="M:ExtractFileName(System.String)">
+      <summary>Выделяет имя файла из полного имени файла fileName</summary>
+    </member>
+    <member name="M:ExtractFileExt(System.String)">
+      <summary>Выделяет расширение из полного имени файла fileName</summary>
+    </member>
+    <member name="M:ExtractFilePath(System.String)">
+      <summary>Выделяет путь из полного имени файла fileName</summary>
+    </member>
+    <member name="M:ExtractFileDir(System.String)">
+      <summary>Выделяет имя диска и путь из полного имени файла fileName</summary>
+    </member>
+    <member name="M:ExtractFileDrive(System.String)">
+      <summary>Выделяет путь из полного имени файла fileName</summary>
+    </member>
+    <member name="M:ExpandFileName(System.String)">
+      <summary>Возвращает полное имя файла fileName</summary>
+    </member>
+    <member name="M:Sign(System.SByte)">
+      <summary>-function Sign(x: число): integer;
+ Возвращает -1, 0 или +1 в зависимости от знака числа x</summary>
+    </member>
+    <member name="M:Sign(System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.Byte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sign(System.Numerics.BigInteger)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.SByte)">
+      <summary>-function Abs(x: число): число;
+ Возвращает модуль числа x</summary>
+    </member>
+    <member name="M:Abs(System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.Byte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.Numerics.BigInteger)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Abs(System.Single)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sin(System.Double)">
+      <summary>Возвращает синус угла x, измеряемого в радианах</summary>
+    </member>
+    <member name="M:Sinh(System.Double)">
+      <summary>Возвращает гиперболический синус угла x, измеряемого в радианах</summary>
+    </member>
+    <member name="M:Cos(System.Double)">
+      <summary>Возвращает косинус угла x, измеряемого в радианах
+ !! Returns the cosine of number x</summary>
+    </member>
+    <member name="M:Cosh(System.Double)">
+      <summary>Возвращает гиперболический косинус угла x, измеряемого в радианах</summary>
+    </member>
+    <member name="M:Tan(System.Double)">
+      <summary>Возвращает тангенс угла x, измеряемого в радианах</summary>
+    </member>
+    <member name="M:Tanh(System.Double)">
+      <summary>Возвращает гиперболический тангенс угла x, измеряемого в радианах</summary>
+    </member>
+    <member name="M:ArcSin(System.Double)">
+      <summary>Возвращает угол в радианах, синус которого равен x, -1&lt;=x&lt;=1</summary>
+    </member>
+    <member name="M:ArcCos(System.Double)">
+      <summary>Возвращает угол в радианах, косинус которого равен x, -1&lt;=x&lt;=1</summary>
+    </member>
+    <member name="M:ArcTan(System.Double)">
+      <summary>Возвращает угол в радианах, тангенс которого равен x</summary>
+    </member>
+    <member name="M:Exp(System.Double)">
+      <summary>Возвращает экспоненту числа x</summary>
+    </member>
+    <member name="M:Ln(System.Double)">
+      <summary>Возвращает натуральный логарифм числа x</summary>
+    </member>
+    <member name="M:Log(System.Double)">
+      <summary>Возвращает натуральный логарифм числа x</summary>
+    </member>
+    <member name="M:Log2(System.Double)">
+      <summary>Возвращает логарифм числа x по основанию 2</summary>
+    </member>
+    <member name="M:Log10(System.Double)">
+      <summary>Возвращает десятичный логарифм числа x</summary>
+    </member>
+    <member name="M:LogN(System.Double,System.Double)">
+      <summary>Возвращает логарифм числа x по основанию base</summary>
+    </member>
+    <member name="M:Sqrt(System.Double)">
+      <summary>Возвращает квадратный корень числа x</summary>
+    </member>
+    <member name="M:Sqr(System.SByte)">
+      <summary>-function Sqr(x: число): число;
+ Возвращает квадрат числа x</summary>
+    </member>
+    <member name="M:Sqr(System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.Byte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.Numerics.BigInteger)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Sqr(System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Power(System.Double,System.Double)">
+      <summary>Возвращает x в степени y</summary>
+    </member>
+    <member name="M:Power(System.Double,System.Int32)">
+      <summary>Возвращает x в целой степени n</summary>
+    </member>
+    <member name="M:Power(System.Numerics.BigInteger,System.Int32)">
+      <summary>Возвращает x в степени y</summary>
+    </member>
+    <member name="M:Round(System.Double)">
+      <summary>Возвращает x, округленное до ближайшего целого. Если вещественное находится посередине между двумя целыми, 
+то округление осуществляется к ближайшему четному (банковское округление): Round(2.5)=2, Round(3.5)=4</summary>
+    </member>
+    <member name="M:Round(System.Double,System.Int32)">
+      <summary>Возвращает x, округленное до ближайшего вещественного с digits знаками после десятичной точки</summary>
+    </member>
+    <member name="M:RoundBigInteger(System.Double)">
+      <summary>Возвращает x, округленное до ближайшего длинного целого</summary>
+    </member>
+    <member name="M:Trunc(System.Double)">
+      <summary>Возвращает целую часть вещественного числа x</summary>
+    </member>
+    <member name="M:TruncBigInteger(System.Double)">
+      <summary>Возвращает целую часть вещественного числа x как длинное целое</summary>
+    </member>
+    <member name="M:Int(System.Double)">
+      <summary>Возвращает целую часть числа x</summary>
+    </member>
+    <member name="M:Frac(System.Double)">
+      <summary>Возвращает дробную часть числа x</summary>
+    </member>
+    <member name="M:Floor(System.Double)">
+      <summary>Возвращает наибольшее целое &lt;= x</summary>
+    </member>
+    <member name="M:Ceil(System.Double)">
+      <summary>Возвращает наименьшее целое &gt;= x</summary>
+    </member>
+    <member name="M:RadToDeg(System.Double)">
+      <summary>Переводит радианы в градусы</summary>
+    </member>
+    <member name="M:DegToRad(System.Double)">
+      <summary>Переводит градусы в радианы</summary>
+    </member>
+    <member name="M:Randomize">
+      <summary>Инициализирует датчик псевдослучайных чисел</summary>
+    </member>
+    <member name="M:Randomize(System.Int32)">
+      <summary>Инициализирует датчик псевдослучайных чисел, используя значение seed. При одном и том же seed генерируются одинаковые псевдослучайные последовательности</summary>
+    </member>
+    <member name="M:Random(System.Int32)">
+      <summary>Возвращает случайное целое в диапазоне от 0 до maxValue-1</summary>
+    </member>
+    <member name="M:Random(System.Double)">
+      <summary>Возвращает случайное вещественное в диапазоне [0,maxValue)</summary>
+    </member>
+    <member name="M:Random(System.Int32,System.Int32)">
+      <summary>Возвращает случайное целое в диапазоне от a до b</summary>
+    </member>
+    <member name="M:Random(System.Double,System.Double)">
+      <summary>Возвращает случайное вещественное в диапазоне [a,b)</summary>
+    </member>
+    <member name="M:RandomReal(System.Double,System.Double,System.Int32)">
+      <summary>Возвращает случайное вещественное в диапазоне [a,b] c количеством значащих цифр после точки, равным digits</summary>
+    </member>
+    <member name="M:Random(System.Char,System.Char)">
+      <summary>Возвращает случайный символ в диапазоне от a до b</summary>
+    </member>
+    <member name="M:Random(PABCSystem.IntRange)">
+      <summary>Возвращает случайное целое в диапазоне</summary>
+    </member>
+    <member name="M:Random(PABCSystem.RealRange)">
+      <summary>Возвращает случайное вещественное в диапазоне</summary>
+    </member>
+    <member name="M:Random(PABCSystem.CharRange)">
+      <summary>Возвращает случайный символ в диапазоне</summary>
+    </member>
+    <member name="M:Random">
+      <summary>Возвращает случайное вещественное в диапазоне [0..1)</summary>
+    </member>
+    <member name="M:Random2(System.Int32)">
+      <summary>Возвращает кортеж из двух случайных целых в диапазоне от 0 до maxValue-1</summary>
+    </member>
+    <member name="M:Random2(System.Double)">
+      <summary>Возвращает кортеж из двух случайных вещественных в диапазоне [0,maxValue)</summary>
+    </member>
+    <member name="M:Random2(System.Int32,System.Int32)">
+      <summary>Возвращает кортеж из двух случайных целых в диапазоне от a до b</summary>
+    </member>
+    <member name="M:Random2(System.Char,System.Char)">
+      <summary>Возвращает кортеж из двух случайных символов в диапазоне от a до b</summary>
+    </member>
+    <member name="M:Random2(System.Double,System.Double)">
+      <summary>Возвращает кортеж из двух случайных вещественных в диапазоне [a,b)</summary>
+    </member>
+    <member name="M:Random2(PABCSystem.IntRange)">
+      <summary>Возвращает кортеж из двух случайных целых в диапазоне</summary>
+    </member>
+    <member name="M:Random2(PABCSystem.CharRange)">
+      <summary>Возвращает кортеж из двух случайных символов в диапазоне</summary>
+    </member>
+    <member name="M:Random2(PABCSystem.RealRange)">
+      <summary>Возвращает кортеж из двух случайных вещественных в диапазоне</summary>
+    </member>
+    <member name="M:Random2">
+      <summary>Возвращает кортеж из двух случайных вещественных в диапазоне [0..1)</summary>
+    </member>
+    <member name="M:Random3(System.Int32)">
+      <summary>Возвращает кортеж из трех случайных целых в диапазоне от 0 до maxValue-1</summary>
+    </member>
+    <member name="M:Random3(System.Double)">
+      <summary>Возвращает кортеж из трех случайных вещественных в диапазоне [0,maxValue)</summary>
+    </member>
+    <member name="M:Random3(System.Int32,System.Int32)">
+      <summary>Возвращает кортеж из трех случайных целых в диапазоне от a до b</summary>
+    </member>
+    <member name="M:Random3(System.Char,System.Char)">
+      <summary>Возвращает кортеж из трех случайных символов в диапазоне от a до b</summary>
+    </member>
+    <member name="M:Random3(System.Double,System.Double)">
+      <summary>Возвращает кортеж из трех случайных вещественных в диапазоне [a,b)</summary>
+    </member>
+    <member name="M:Random3(PABCSystem.IntRange)">
+      <summary>Возвращает кортеж из трех случайных целых в диапазоне</summary>
+    </member>
+    <member name="M:Random3(PABCSystem.CharRange)">
+      <summary>Возвращает кортеж из трех случайных символов в диапазоне</summary>
+    </member>
+    <member name="M:Random3(PABCSystem.RealRange)">
+      <summary>Возвращает кортеж из трех случайных вещественных в диапазоне</summary>
+    </member>
+    <member name="M:Random3">
+      <summary>Возвращает кортеж из трех случайных вещественных в диапазоне [0..1)</summary>
+    </member>
+    <member name="M:Max(System.Byte,System.Byte)">
+      <summary>-function Max(a: число, b: число): число;
+ Возвращает максимальное из чисел a,b</summary>
+    </member>
+    <member name="M:Max(System.SByte,System.SByte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Int16,System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.UInt16,System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Numerics.BigInteger,System.Numerics.BigInteger)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.UInt32,System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Int64,System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.UInt64,System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Byte,System.Byte)">
+      <summary>-function Min(a: число, b: число): число;
+ Возвращает минимальное из чисел a,b</summary>
+    </member>
+    <member name="M:Min(System.SByte,System.SByte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.UInt16,System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Int16,System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Numerics.BigInteger,System.Numerics.BigInteger)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.UInt32,System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Int64,System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.UInt64,System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min``1(``0[])">
+      <summary>-function Min(a,b,...: T): T;
+ Возвращает минимальное из a,b,...</summary>
+    </member>
+    <member name="M:Min(System.Double,System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Double,System.Double,System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Min(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max``1(``0[])">
+      <summary>-function Max(a,b,...: T): T;
+ Возвращает максимальное из a,b,...</summary>
+    </member>
+    <member name="M:Max(System.Double,System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Double,System.Double,System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Max(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.Byte)">
+      <summary>-function Odd(i: целое): boolean;
+ Возвращает True, если i нечетно, и False в противном случае</summary>
+    </member>
+    <member name="M:Odd(System.SByte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.Numerics.BigInteger)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Odd(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Cplx(System.Double,System.Double)">
+      <summary>Конструирует комплексное число с вещественной частью re и мнимой частью im</summary>
+    </member>
+    <member name="M:CplxFromPolar(System.Double,System.Double)">
+      <summary>Конструирует комплексное число по полярным координатам</summary>
+    </member>
+    <member name="M:Sqrt(System.Numerics.Complex)">
+      <summary>Возвращает квадратный корень из комплексного числа</summary>
+    </member>
+    <member name="M:Abs(System.Numerics.Complex)">
+      <summary>Возвращает модуль комплексного числа</summary>
+    </member>
+    <member name="M:Conjugate(System.Numerics.Complex)">
+      <summary>Возвращает комплексно сопряженное число</summary>
+    </member>
+    <member name="M:Cos(System.Numerics.Complex)">
+      <summary>Возвращает косинус комплексного числа</summary>
+    </member>
+    <member name="M:Exp(System.Numerics.Complex)">
+      <summary>Возвращает экспоненту комплексного числа</summary>
+    </member>
+    <member name="M:Ln(System.Numerics.Complex)">
+      <summary>Возвращает натуральный логарифм комплексного числа</summary>
+    </member>
+    <member name="M:Log(System.Numerics.Complex)">
+      <summary>Возвращает натуральный логарифм комплексного числа</summary>
+    </member>
+    <member name="M:Log10(System.Numerics.Complex)">
+      <summary>Возвращает десятичный логарифм комплексного числа</summary>
+    </member>
+    <member name="M:Power(System.Numerics.Complex,System.Numerics.Complex)">
+      <summary>Возвращает степень комплексного числа</summary>
+    </member>
+    <member name="M:Sin(System.Numerics.Complex)">
+      <summary>Возвращает синус комплексного числа</summary>
+    </member>
+    <member name="M:Include(PABCSystem.TypedSet@,System.Object)">
+      <summary>- procedure Include(var s: set of T; element: T);
+Добавляет элемент element во множество s</summary>
+    </member>
+    <member name="M:Exclude(PABCSystem.TypedSet@,System.Object)">
+      <summary>- procedure Exclude(var s: set of T; element: T);
+Удаляет элемент element из множества s</summary>
+    </member>
+    <member name="M:Inc(System.Char@)">
+      <summary>Увеличивает код символа c на 1</summary>
+    </member>
+    <member name="M:Inc(System.Char@,System.Int32)">
+      <summary>Увеличивает код символа c на n</summary>
+    </member>
+    <member name="M:Dec(System.Char@)">
+      <summary>Уменьшает код символа c на 1</summary>
+    </member>
+    <member name="M:Dec(System.Char@,System.Int32)">
+      <summary>Уменьшает код символа c на n</summary>
+    </member>
+    <member name="M:Pred(System.Char)">
+      <summary>Возвращает предшествующий x символ</summary>
+    </member>
+    <member name="M:Succ(System.Char)">
+      <summary>Возвращает следующий за x символ</summary>
+    </member>
+    <member name="M:ChrAnsi(System.Byte)">
+      <summary>Преобразует код в символ в кодировке Windows</summary>
+    </member>
+    <member name="M:OrdAnsi(System.Char)">
+      <summary>Преобразует символ в код в кодировке Windows</summary>
+    </member>
+    <member name="M:Chr(System.UInt16)">
+      <summary>Преобразует код в символ в кодировке Unicode</summary>
+    </member>
+    <member name="M:Ord(System.Char)">
+      <summary>Преобразует символ в код в кодировке Unicode</summary>
+    </member>
+    <member name="M:ChrUnicode(System.UInt16)">
+      <summary>Преобразует код в символ в кодировке Unicode</summary>
+    </member>
+    <member name="M:OrdUnicode(System.Char)">
+      <summary>Преобразует символ в код в кодировке Unicode</summary>
+    </member>
+    <member name="M:UpperCase(System.Char)">
+      <summary>Преобразует символ в верхний регистр</summary>
+    </member>
+    <member name="M:LowerCase(System.Char)">
+      <summary>Преобразует символ в нижний регистр</summary>
+    </member>
+    <member name="M:UpCase(System.Char)">
+      <summary>Преобразует символ в верхний регистр</summary>
+    </member>
+    <member name="M:LowCase(System.Char)">
+      <summary>Преобразует символ в нижний регистр</summary>
+    </member>
+    <member name="M:Str(System.Int32,System.String@)">
+      <summary>-procedure Str(i: целое; var s: string);
+ Преобразует целое значение i к строковому представлению и записывает результат в s</summary>
+    </member>
+    <member name="M:Str(System.UInt32,System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Str(System.Int64,System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Str(System.UInt64,System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Str(System.Double,System.String@)">
+      <summary>Преобразует вещественное значение r к строковому представлению и записывает результат в s</summary>
+    </member>
+    <member name="M:Str(System.Single,System.String@)">
+      <summary>Преобразует вещественное значение r к строковому представлению и записывает результат в s</summary>
+    </member>
+    <member name="M:Str(System.String,System.String@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pos(System.String,System.String,System.Int32)">
+      <summary>Возвращает позицию подстроки subs в строке s. Если не найдена, возвращает 0</summary>
+    </member>
+    <member name="M:PosEx(System.String,System.String,System.Int32)">
+      <summary>Возвращает позицию подстроки subs в строке s начиная с позиции from. Если не найдена, возвращает 0</summary>
+    </member>
+    <member name="M:LastPos(System.String,System.String)">
+      <summary>Возвращает позицию последнего вхождения подстроки subs в строке s. Если не найдена, возвращает 0</summary>
+    </member>
+    <member name="M:LastPos(System.String,System.String,System.Int32)">
+      <summary>Возвращает позицию последнего вхождения подстроки subs в строке s начиная с позиции from. Если не найдена, возвращает 0</summary>
+    </member>
+    <member name="M:Length(System.String)">
+      <summary>Возвращает длину строки</summary>
+    </member>
+    <member name="M:SetLength(System.String@,System.Int32)">
+      <summary>Устанавливает длину строки s равной n</summary>
+    </member>
+    <member name="M:SetLengthForShortString(System.String@,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Insert(System.String,System.String@,System.Int32)">
+      <summary>Вставляет подстроку subs в строку s с позиции index</summary>
+    </member>
+    <member name="M:InsertInShortString(System.String,System.String@,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Delete(System.String@,System.Int32,System.Int32)">
+      <summary>Удаляет из строки s count символов с позиции index</summary>
+    </member>
+    <member name="M:Copy(System.String,System.Int32,System.Int32)">
+      <summary>Возвращает подстроку строки s длины count с позиции index</summary>
+    </member>
+    <member name="M:Concat(System.String[])">
+      <summary>-function Concat(s1,s2,...): string; 
+ Возвращает строку, являющуюся результатом слияния строк s1,s2,...</summary>
+    </member>
+    <member name="M:Concat(System.String,System.String)">
+      <summary>Возвращает строку, являющуюся результатом слияния строк s1 и s2</summary>
+    </member>
+    <member name="M:LowerCase(System.String)">
+      <summary>Возвращает строку в нижнем регистре</summary>
+    </member>
+    <member name="M:UpperCase(System.String)">
+      <summary>Возвращает строку в верхнем регистре</summary>
+    </member>
+    <member name="M:StringOfChar(System.Char,System.Int32)">
+      <summary>Возвращает строку, состоящую из count символов ch</summary>
+    </member>
+    <member name="M:ReverseString(System.String)">
+      <summary>Возвращает инвертированную строку</summary>
+    </member>
+    <member name="M:ReverseString(System.String,System.Int32,System.Int32)">
+      <summary>Возвращает инвертированную строку в диапазоне длины length начиная с индекса index</summary>
+    </member>
+    <member name="M:CompareStr(System.String,System.String)">
+      <summary>Сравнивает строки. Возвращает значение &lt; 0 если s1&lt;s2, &gt; 0 если s1&gt;s2 и = 0 если s1=s2</summary>
+    </member>
+    <member name="M:LeftStr(System.String,System.Int32)">
+      <summary>Возвращает первые count символов строки s</summary>
+    </member>
+    <member name="M:RightStr(System.String,System.Int32)">
+      <summary>Возвращает последние count символов строки s</summary>
+    </member>
+    <member name="M:Trim(System.String)">
+      <summary>Возвращает строку с удаленными начальными и конечными пробелами</summary>
+    </member>
+    <member name="M:TrimLeft(System.String)">
+      <summary>Возвращает строку с удаленными начальными пробелами</summary>
+    </member>
+    <member name="M:TrimRight(System.String)">
+      <summary>Возвращает строку с удаленными конечными пробелами</summary>
+    </member>
+    <member name="M:StrToInt(System.String)">
+      <summary>Преобразует строковое представление целого числа к числовому значению</summary>
+    </member>
+    <member name="M:StrToInt64(System.String)">
+      <summary>Преобразует строковое представление целого числа к числовому значению</summary>
+    </member>
+    <member name="M:StrToFloat(System.String)">
+      <summary>Преобразует строковое представление вещественного числа к числовому значению</summary>
+    </member>
+    <member name="M:StrToReal(System.String)">
+      <summary>Преобразует строковое представление вещественного числа к числовому значению</summary>
+    </member>
+    <member name="M:TryStrToInt(System.String,System.Int32@)">
+      <summary>Преобразует строковое представление s целого числа к числовому значению и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:TryStrToInt64(System.String,System.Int64@)">
+      <summary>Преобразует строковое представление s целого числа к числовому значению и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:TryStrToFloat(System.String,System.Double@)">
+      <summary>Преобразует строковое представление s вещественного числа к числовому значению и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:TryStrToFloat(System.String,System.Single@)">
+      <summary>Преобразует строковое представление s вещественного числа к числовому значению и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:TryStrToReal(System.String,System.Double@)">
+      <summary>Преобразует строковое представление s вещественного числа к числовому значению и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:TryStrToSingle(System.String,System.Single@)">
+      <summary>Преобразует строковое представление s вещественного числа к числовому значению и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:ReadIntegerFromString(System.String,System.Int32@)">
+      <summary>Считывает целое из строки начиная с позиции from и устанавливает from за считанным значением</summary>
+    </member>
+    <member name="M:ReadRealFromString(System.String,System.Int32@)">
+      <summary>Считывает вещественное из строки начиная с позиции from и устанавливает from за считанным значением</summary>
+    </member>
+    <member name="M:ReadWordFromString(System.String,System.Int32@)">
+      <summary>Считывает из строки последовательность символов до пробельного символа начиная с позиции from и устанавливает from за считанным значением</summary>
+    </member>
+    <member name="M:StringIsEmpty(System.String,System.Int32@)">
+      <summary>Возвращает True если достигнут конец строки или в строке остались только пробельные символы и False в противном случае</summary>
+    </member>
+    <member name="M:TryReadIntegerFromString(System.String,System.Int32@,System.Int32@)">
+      <summary>Считывает целое из строки начиная с позиции from и устанавливает from за считанным значением. 
+Возвращает True если считывание удачно и False в противном случае</summary>
+    </member>
+    <member name="M:TryReadRealFromString(System.String,System.Int32@,System.Double@)">
+      <summary>Считывает вещественное из строки начиная с позиции from и устанавливает from за считанным значением. 
+Возвращает True если считывание удачно и False в противном случае</summary>
+    </member>
+    <member name="M:Val(System.String,System.Int32@,System.Int32@)">
+      <summary>-procedure Val(s: string; var value: число; var err: integer);
+ Преобразует строковое представление s целого или вещественного числа к числовому значению и записывает его в переменную value. 
+Если преобразование успешно, то err=0, иначе err&gt;0</summary>
+    </member>
+    <member name="M:Val(System.String,System.SByte@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.Int16@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.Int64@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.Byte@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.UInt16@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.UInt32@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.UInt64@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.Double@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Val(System.String,System.Single@,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:IntToStr(System.Int32)">
+      <summary>Преобразует целое число к строковому представлению</summary>
+    </member>
+    <member name="M:IntToStr(System.Int64)">
+      <summary>Преобразует целое число к строковому представлению</summary>
+    </member>
+    <member name="M:FloatToStr(System.Double)">
+      <summary>Преобразует вещественное число к строковому представлению</summary>
+    </member>
+    <member name="M:Format(System.String,System.Object[])">
+      <summary>Возвращает отформатированную строку, построенную по форматной строке и списку форматируемых параметров</summary>
+    </member>
+    <member name="M:Inc(System.Int32@)">
+      <summary>Увеличивает значение переменной i на 1</summary>
+    </member>
+    <member name="M:Inc(System.Int32@,System.Int32)">
+      <summary>Увеличивает значение переменной i на n</summary>
+    </member>
+    <member name="M:Dec(System.Int32@)">
+      <summary>Уменьшает значение переменной i на 1</summary>
+    </member>
+    <member name="M:Dec(System.Int32@,System.Int32)">
+      <summary>Уменьшает значение переменной i на n</summary>
+    </member>
+    <member name="M:Inc(System.Byte@)">
+      <summary>-procedure Inc(var e: перечислимый тип);
+ Увеличивает значение перечислимого типа на 1</summary>
+    </member>
+    <member name="M:Inc(System.Byte@,System.Int32)">
+      <summary>-procedure Inc(var e: перечислимый тип; n: integer);
+ Увеличивает значение перечислимого типа на n</summary>
+    </member>
+    <member name="M:Dec(System.Byte@)">
+      <summary>-procedure Dec(var e: перечислимый тип);
+ Уменьшает значение перечислимого типа на 1</summary>
+    </member>
+    <member name="M:Dec(System.Byte@,System.Int32)">
+      <summary>-procedure Dec(var e: перечислимый тип; n: integer);
+ Уменьшает значение перечислимого типа на n</summary>
+    </member>
+    <member name="M:Inc(System.Boolean@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Dec(System.Boolean@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Ord(System.Int32)">
+      <summary>-function Ord(a: целое): целое;
+ Возвращает порядковый номер значения a</summary>
+    </member>
+    <member name="M:Ord(System.UInt32)">
+      <summary>-function Ord(a: перечислимый тип): integer;
+ Возвращает порядковый номер значения a</summary>
+    </member>
+    <member name="M:Ord(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Ord(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Ord(System.Boolean)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.Int32)">
+      <summary>-function Succ(x: целое): целое;
+ Возвращает следующее за x значение</summary>
+    </member>
+    <member name="M:Succ(System.Byte)">
+      <summary>-function Succ(x: перечислимый тип): перечислимый тип;
+ Возвращает следующее за x значение</summary>
+    </member>
+    <member name="M:Succ(System.SByte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Succ(System.Boolean)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.Int32)">
+      <summary>-function Pred(x: целое): целое;
+ Возвращает предшествующее x значение</summary>
+    </member>
+    <member name="M:Pred(System.Byte)">
+      <summary>-function Pred(x: перечислимый тип): перечислимый тип;
+ Возвращает предшествующее x значение</summary>
+    </member>
+    <member name="M:Pred(System.SByte)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.Int16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.UInt16)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.UInt32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.UInt64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Pred(System.Boolean)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Swap``1(``0@,``0@)">
+      <summary>Меняет местами значения двух переменных</summary>
+    </member>
+    <member name="M:Eoln">
+      <summary>Возвращает True, если достигнут конец строки</summary>
+    </member>
+    <member name="M:Eof">
+      <summary>Возвращает True, если достигнут конец потока ввода</summary>
+    </member>
+    <member name="M:SeekEof">
+      <summary>Пропускает пробельные символы, после чего возвращает True, если достигнут конец потока ввода</summary>
+    </member>
+    <member name="M:SeekEoln">
+      <summary>Пропускает пробельные символы, после чего возвращает True, если достигнут конец строки</summary>
+    </member>
+    <member name="M:CommandLineArgs">
+      <summary>Возвращает аргумены командой строки, с которыми была запущена программа</summary>
+    </member>
+    <member name="M:Low(System.Array)">
+      <summary>- function Low(a: array of T): integer;
+ Возвращает 0</summary>
+    </member>
+    <member name="M:High(System.Array)">
+      <summary>- function High(a: array of T): integer;
+ Возвращает верхнюю границу динамического массива</summary>
+    </member>
+    <member name="M:Length(System.Array)">
+      <summary>- function Length(a: array of T): integer;
+ Возвращает длину динамического массива</summary>
+    </member>
+    <member name="M:Length(System.Array,System.Int32)">
+      <summary>- function Length(a: array of T; dim: integer): integer;
+ Возвращает длину динамического массива по размерности dim</summary>
+    </member>
+    <member name="M:Copy(System.Array)">
+      <summary>- function Copy(a: array of T): array of T;
+ Создаёт копию динамического массива</summary>
+    </member>
+    <member name="M:Sort``1(``0[])">
+      <summary>Сортирует динамический массив по возрастанию</summary>
+    </member>
+    <member name="M:Sort``1(``0[],System.Func{``0,``0,System.Int32})">
+      <summary>Сортирует динамический массив по критерию сортировки, задаваемому функцией сравнения cmp</summary>
+    </member>
+    <member name="M:Sort``1(``0[],System.Func{``0,``0,System.Boolean})">
+      <summary>Сортирует динамический массив по критерию сортировки, задаваемому функцией сравнения less</summary>
+    </member>
+    <member name="M:Sort``2(``0[],System.Func{``0,``1})">
+      <summary>Сортирует динамический массив по ключу</summary>
+    </member>
+    <member name="M:Sort``1(System.Collections.Generic.List{``0})">
+      <summary>Сортирует список по возрастанию</summary>
+    </member>
+    <member name="M:Sort``1(System.Collections.Generic.List{``0},System.Func{``0,``0,System.Int32})">
+      <summary>Сортирует список по критерию сортировки, задаваемому функцией сравнения cmp</summary>
+    </member>
+    <member name="M:Sort``1(System.Collections.Generic.List{``0},System.Func{``0,``0,System.Boolean})">
+      <summary>Сортирует список по критерию сортировки, задаваемому функцией сравнения less</summary>
+    </member>
+    <member name="M:Sort``2(System.Collections.Generic.List{``0}@,System.Func{``0,``1})">
+      <summary>Сортирует список по возрастанию по ключу</summary>
+    </member>
+    <member name="M:SortDescending``1(``0[])">
+      <summary>Сортирует динамический массив по убыванию</summary>
+    </member>
+    <member name="M:SortDescending``2(``0[]@,System.Func{``0,``1})">
+      <summary>Сортирует динамический массив по убыванию по ключу</summary>
+    </member>
+    <member name="M:SortDescending``1(System.Collections.Generic.List{``0})">
+      <summary>Сортирует список по убыванию</summary>
+    </member>
+    <member name="M:SortDescending``2(System.Collections.Generic.List{``0}@,System.Func{``0,``1})">
+      <summary>Сортирует список по убыванию по ключу</summary>
+    </member>
+    <member name="M:Reverse``1(``0[])">
+      <summary>Изменяет порядок элементов в динамическом массиве на противоположный</summary>
+    </member>
+    <member name="M:Reverse``1(``0[],System.Int32,System.Int32)">
+      <summary>Изменяет порядок элементов на противоположный в диапазоне динамического массива длины count, начиная с индекса index</summary>
+    </member>
+    <member name="M:Reverse``1(System.Collections.Generic.List{``0})">
+      <summary>Изменяет порядок элементов в списке на противоположный</summary>
+    </member>
+    <member name="M:Reverse``1(System.Collections.Generic.List{``0},System.Int32,System.Int32)">
+      <summary>Изменяет порядок элементов на противоположный в диапазоне списка длины count, начиная с индекса index</summary>
+    </member>
+    <member name="M:Reverse(System.String@)">
+      <summary>Изменяет порядок символов в строке на противоположный</summary>
+    </member>
+    <member name="M:Reverse(System.String@,System.Int32,System.Int32)">
+      <summary>Изменяет порядок символов в части строки длины count на противоположный, начиная с индекса index</summary>
+    </member>
+    <member name="M:Shuffle``1(``0[])">
+      <summary>Перемешивает динамический массив случайным образом</summary>
+    </member>
+    <member name="M:ArrEqual``1(``0[],``0[])">
+      <summary>Возвращает, совпадают ли массивы</summary>
+    </member>
+    <member name="M:MatrEqual``1(``0[],``0[])">
+      <summary>Сравнивает матрицы на равенство</summary>
+    </member>
+    <member name="M:Shuffle``1(System.Collections.Generic.List{``0})">
+      <summary>Перемешивает список случайным образом</summary>
+    </member>
+    <member name="M:NextPermutation(System.Int32[])">
+      <summary>Возвращает следующую перестановку в массиве</summary>
+    </member>
+    <member name="M:Range(System.Int32,System.Int32)">
+      <summary>Возвращает последовательность целых от a до b</summary>
+    </member>
+    <member name="M:Range(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает последовательность целых от a до b с шагом step</summary>
+    </member>
+    <member name="M:Range(System.Numerics.BigInteger,System.Numerics.BigInteger)">
+      <summary>Возвращает последовательность длинных целых от a до b</summary>
+    </member>
+    <member name="M:Range(System.Numerics.BigInteger,System.Numerics.BigInteger,System.Numerics.BigInteger)">
+      <summary>Возвращает последовательность длинных целых от a до b с шагом step</summary>
+    </member>
+    <member name="M:Range(System.Char,System.Char)">
+      <summary>Возвращает последовательность символов от c1 до c2</summary>
+    </member>
+    <member name="M:Range(System.Char,System.Char,System.Int32)">
+      <summary>Возвращает последовательность символов от c1 до c2 с шагом step</summary>
+    </member>
+    <member name="M:PartitionPoints(System.Double,System.Double,System.Int32)">
+      <summary>Возвращает последовательность вещественных в точках разбиения отрезка [a,b] на n равных частей</summary>
+    </member>
+    <member name="M:Seq``1(``0[])">
+      <summary>Возвращает последовательность указанных элементов</summary>
+    </member>
+    <member name="M:SeqRandom(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает последовательность из n случайных целых элементов</summary>
+    </member>
+    <member name="M:SeqRandomInteger(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает последовательность из n случайных целых элементов</summary>
+    </member>
+    <member name="M:SeqRandomReal(System.Int32,System.Double,System.Double,System.Int32)">
+      <summary>Возвращает последовательность из n случайных вещественных элементов</summary>
+    </member>
+    <member name="M:SeqGen``1(System.Int32,System.Func{System.Int32,``0})">
+      <summary>Возвращает последовательность из count элементов, заполненных значениями f(i)</summary>
+    </member>
+    <member name="M:SeqGen``1(System.Int32,System.Func{System.Int32,``0},System.Int32)">
+      <summary>Возвращает последовательность из count элементов, заполненных значениями f(i), начиная с i=from</summary>
+    </member>
+    <member name="M:SeqGen``1(System.Int32,``0,System.Func{``0,``0})">
+      <summary>Возвращает последовательность из count элементов, начинающуюся с first, с функцией next перехода от предыдущего к следующему</summary>
+    </member>
+    <member name="M:SeqGen``1(System.Int32,``0,``0,System.Func{``0,``0,``0})">
+      <summary>Возвращает последовательность из count элементов, начинающуюся с first и second, 
+с функцией next перехода от двух предыдущих к следующему</summary>
+    </member>
+    <member name="M:SeqWhile``1(``0,System.Func{``0,``0},System.Func{``0,System.Boolean})">
+      <summary>Возвращает последовательность элементов с начальным значением first, 
+функцией next перехода от предыдущего к следующему и условием pred продолжения последовательности</summary>
+    </member>
+    <member name="M:SeqWhile``1(``0,``0,System.Func{``0,``0,``0},System.Func{``0,System.Boolean})">
+      <summary>Возвращает последовательность элементов, начинающуюся с first и second, 
+с функцией next перехода от двух предыдущих к следующему и условием pred продолжения последовательности</summary>
+    </member>
+    <member name="M:SeqFill``1(System.Int32,``0)">
+      <summary>Возвращает последовательность из count элементов x</summary>
+    </member>
+    <member name="M:Iterate``1(``0,System.Func{``0,``0})">
+      <summary>Возвращает бесконечную рекуррентную последовательность элементов, задаваемую начальным элементом first и функцией next</summary>
+    </member>
+    <member name="M:ReadSeqInteger(System.Int32)">
+      <summary>Возвращает последовательность из n целых, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadSeqReal(System.Int32)">
+      <summary>Возвращает последовательность из n вещественных, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadSeqString(System.Int32)">
+      <summary>Возвращает последовательность из n строк, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadSeqInteger(System.String,System.Int32)">
+      <summary>Выводит приглашение к вводу и возвращает последовательность из n целых, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadSeqReal(System.String,System.Int32)">
+      <summary>Выводит приглашение к вводу и возвращает последовательность из n вещественных, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadSeqString(System.String,System.Int32)">
+      <summary>Выводит приглашение к вводу и возвращает последовательность из n строк, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadSeqIntegerWhile(System.Func{System.Int32,System.Boolean})">
+      <summary>Возвращает последовательность целых, вводимых с клавиатуры пока выполняется определенное условие</summary>
+    </member>
+    <member name="M:ReadSeqRealWhile(System.Func{System.Double,System.Boolean})">
+      <summary>Возвращает последовательность вещественных, вводимых с клавиатуры пока выполняется определенное условие</summary>
+    </member>
+    <member name="M:ReadSeqStringWhile(System.Func{System.String,System.Boolean})">
+      <summary>Возвращает последовательность строк, вводимых с клавиатуры пока выполняется определенное условие</summary>
+    </member>
+    <member name="M:ReadSeqIntegerWhile(System.String,System.Func{System.Int32,System.Boolean})">
+      <summary>Выводит приглашение к вводу и возвращает последовательность целых, вводимых с клавиатуры пока выполняется определенное условие</summary>
+    </member>
+    <member name="M:ReadSeqRealWhile(System.String,System.Func{System.Double,System.Boolean})">
+      <summary>Выводит приглашение к вводу и возвращает последовательность вещественных, вводимых с клавиатуры пока выполняется определенное условие</summary>
+    </member>
+    <member name="M:ReadSeqStringWhile(System.String,System.Func{System.String,System.Boolean})">
+      <summary>Выводит приглашение к вводу и возвращает последовательность строк, вводимых с клавиатуры пока выполняется определенное условие</summary>
+    </member>
+    <member name="M:Arr``1(``0[])">
+      <summary>Возвращает массив, заполненный указанными значениями</summary>
+    </member>
+    <member name="M:Arr``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает массив, заполненный значениями из последовательнсти</summary>
+    </member>
+    <member name="M:Arr(PABCSystem.IntRange)">
+      <summary>Возвращает массив, заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:Arr(PABCSystem.CharRange)">
+      <summary>Возвращает массив, заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:ArrRandom(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает массив размера n, заполненный случайными целыми значениями</summary>
+    </member>
+    <member name="M:ArrRandomInteger(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает массив размера n, заполненный случайными целыми значениями в диапазоне от a до b</summary>
+    </member>
+    <member name="M:ArrRandomInteger(System.Int32)">
+      <summary>Возвращает массив размера n, заполненный случайными целыми значениями</summary>
+    </member>
+    <member name="M:ArrRandomReal(System.Int32,System.Double,System.Double,System.Int32)">
+      <summary>Возвращает массив размера n, заполненный случайными вещественными значениями в диапазоне от a до b</summary>
+    </member>
+    <member name="M:ArrRandomReal(System.Int32,System.Int32)">
+      <summary>Возвращает массив размера n, заполненный случайными вещественными значениями</summary>
+    </member>
+    <member name="M:ArrGen``1(System.Int32,System.Func{System.Int32,``0})">
+      <summary>Возвращает массив из count элементов, заполненных значениями gen(i)</summary>
+    </member>
+    <member name="M:ArrGen``1(System.Int32,System.Func{System.Int32,``0},System.Int32)">
+      <summary>Возвращает массив из count элементов, заполненных значениями gen(i), начиная с i=from</summary>
+    </member>
+    <member name="M:ArrGen``1(System.Int32,``0,System.Func{``0,``0})">
+      <summary>Возвращает массив из count элементов, начинающихся с first, с функцией next перехода от предыдущего к следующему</summary>
+    </member>
+    <member name="M:ArrGen``1(System.Int32,``0,``0,System.Func{``0,``0,``0})">
+      <summary>Возвращает массив из count элементов, начинающихся с first и second, с функцией next перехода от двух предыдущих к следующему</summary>
+    </member>
+    <member name="M:ArrFill``1(System.Int32,``0)">
+      <summary>Возвращает массив из count элементов x</summary>
+    </member>
+    <member name="M:ReadArrInteger(System.Int32)">
+      <summary>Возвращает массив из n целых, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadArrInt64(System.Int32)">
+      <summary>Возвращает массив из n целых int64, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadArrReal(System.Int32)">
+      <summary>Возвращает массив из n вещественных, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadArrString(System.Int32)">
+      <summary>Возвращает массив из n строк, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadArrInteger">
+      <summary>--</summary>
+    </member>
+    <member name="M:ReadArrReal">
+      <summary>--</summary>
+    </member>
+    <member name="M:ReadArrString">
+      <summary>--</summary>
+    </member>
+    <member name="M:ReadArrInteger(System.String,System.Int32)">
+      <summary>Выводит приглашение к вводу и возвращает массив из n целых, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadArrReal(System.String,System.Int32)">
+      <summary>Выводит приглашение к вводу и возвращает массив из n вещественных, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadArrString(System.String,System.Int32)">
+      <summary>Выводит приглашение к вводу и возвращает массив из n строк, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:Matr``1(System.Int32,System.Int32,``0[])">
+      <summary>Возвращает двумерный массив размера m x n, заполненный указанными значениями по строкам</summary>
+    </member>
+    <member name="M:Matr``1(``0[][])">
+      <summary>Возвращает двумерный массив, заполненный значениями из одномерных массивов</summary>
+    </member>
+    <member name="M:MatrByRow``1(``0[][])">
+      <summary>Генерирует двумерный массив по массиву массивов строк</summary>
+    </member>
+    <member name="M:MatrByRow``1(System.Collections.Generic.IEnumerable{``0[]})">
+      <summary>Генерирует двумерный массив по последовательности массивов строк</summary>
+    </member>
+    <member name="M:MatrByRow``1(System.Collections.Generic.IEnumerable{System.Collections.Generic.IEnumerable{``0}})">
+      <summary>Генерирует двумерный массив по последовательности последовательностей строк</summary>
+    </member>
+    <member name="M:MatrByRow``1(System.Int32,System.Int32,System.Collections.Generic.IEnumerable{``0})">
+      <summary>Генерирует двумерный массив по строкам из последовательности</summary>
+    </member>
+    <member name="M:MatrByCol``1(``0[][])">
+      <summary>Генерирует двумерный массив по массиву массивов столбцов</summary>
+    </member>
+    <member name="M:MatrByCol``1(System.Collections.Generic.IEnumerable{``0[]})">
+      <summary>Генерирует двумерный массив по последовательности массивов столбцов</summary>
+    </member>
+    <member name="M:MatrByCol``1(System.Collections.Generic.IEnumerable{System.Collections.Generic.IEnumerable{``0}})">
+      <summary>Генерирует двумерный массив по последовательности последовательностей столбцов</summary>
+    </member>
+    <member name="M:MatrByCol``1(System.Int32,System.Int32,System.Collections.Generic.IEnumerable{``0})">
+      <summary>Генерирует двумерный массив по столбцам из последовательности</summary>
+    </member>
+    <member name="M:ReadMatrInteger(System.Int32,System.Int32)">
+      <summary>Возвращает матрицу m на n целых, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:ReadMatrReal(System.Int32,System.Int32)">
+      <summary>Возвращает матрицу m на n вещественных, введенных с клавиатуры</summary>
+    </member>
+    <member name="M:MatrRandom(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает двумерный массив размера m x n, заполненный случайными целыми значениями</summary>
+    </member>
+    <member name="M:MatrRandomInteger(System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает двумерный массив размера m x n, заполненный случайными целыми значениями</summary>
+    </member>
+    <member name="M:MatrRandomReal(System.Int32,System.Int32,System.Double,System.Double)">
+      <summary>Возвращает двумерный массив размера m x n, заполненный случайными вещественными значениями</summary>
+    </member>
+    <member name="M:MatrGen``1(System.Int32,System.Int32,System.Func{System.Int32,System.Int32,``0})">
+      <summary>Возвращает двумерный массив размера m x n, заполненный элементами gen(i,j)</summary>
+    </member>
+    <member name="M:MatrFill``1(System.Int32,System.Int32,``0)">
+      <summary>Возвращает двумерный массив размера m x n, заполненный элементами x</summary>
+    </member>
+    <member name="M:Transpose``1(``0[])">
+      <summary>Транспонирует двумерный массив</summary>
+    </member>
+    <member name="M:Rec``2(``0,``1)">
+      <summary>- function Rec(x1: T1, x2: T2,...): (T1,T2,...);
+ Возвращает кортеж из элементов разных типов</summary>
+    </member>
+    <member name="M:Rec``3(``0,``1,``2)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Rec``4(``0,``1,``2,``3)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Rec``5(``0,``1,``2,``3,``4)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Rec``6(``0,``1,``2,``3,``4,``5)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Rec``7(``0,``1,``2,``3,``4,``5,``6)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Lst``1(``0[])">
+      <summary>Возвращает список, заполненный указанными значениями</summary>
+    </member>
+    <member name="M:Lst``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает список, заполненный значениями из последовательности</summary>
+    </member>
+    <member name="M:Lst(PABCSystem.IntRange)">
+      <summary>Возвращает список, заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:Lst(PABCSystem.CharRange)">
+      <summary>Возвращает список, заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:LstStr(System.String[])">
+      <summary>Возвращает список, заполненный указанными целыми значениями</summary>
+    </member>
+    <member name="M:LstInt(System.Int32[])">
+      <summary>Возвращает список, заполненный указанными целыми значениями</summary>
+    </member>
+    <member name="M:LLst``1(``0[])">
+      <summary>Возвращает двусвязный список, заполненный указанными значениями</summary>
+    </member>
+    <member name="M:LLst``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает двусвязный список, заполненный значениями из последовательности</summary>
+    </member>
+    <member name="M:LLst(PABCSystem.IntRange)">
+      <summary>Возвращает двусвязный список, заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:LLst(PABCSystem.CharRange)">
+      <summary>Возвращает двусвязный список, заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:HSet``1(``0[])">
+      <summary>Возвращает множество на базе хеш таблицы, заполненное указанными значениями</summary>
+    </member>
+    <member name="M:HSet``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает множество на базе хеш таблицы, заполненное значениями из последовательности</summary>
+    </member>
+    <member name="M:HSet(PABCSystem.IntRange)">
+      <summary>Возвращает множество на базе хеш таблицы, заполненное диапазоном значений</summary>
+    </member>
+    <member name="M:HSet(PABCSystem.CharRange)">
+      <summary>Возвращает множество на базе хеш таблицы, заполненное заполненный диапазоном значений</summary>
+    </member>
+    <member name="M:HSetInt(System.Int32[])">
+      <summary>Возвращает множество на базе хеш таблицы, заполненное целыми значениями</summary>
+    </member>
+    <member name="M:HSetStr(System.String[])">
+      <summary>Возвращает множество на базе хеш таблицы, заполненное строковыми значениями</summary>
+    </member>
+    <member name="M:SSet``1(``0[])">
+      <summary>Возвращает множество на базе бинарного дерева поиска, заполненное указанными значениями</summary>
+    </member>
+    <member name="M:SSet``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает множество на базе бинарного дерева поиска, заполненное значениями из последовательности</summary>
+    </member>
+    <member name="M:SSet(PABCSystem.IntRange)">
+      <summary>Возвращает множество на базе бинарного дерева поиска, заполненное диапазоном значений</summary>
+    </member>
+    <member name="M:SSet(PABCSystem.CharRange)">
+      <summary>Возвращает множество на базе бинарного дерева поиска, заполненное диапазоном значений</summary>
+    </member>
+    <member name="M:SSetInt(System.Int32[])">
+      <summary>Возвращает множество на базе бинарного дерева поиска, заполненное целыми значениями</summary>
+    </member>
+    <member name="M:SSetStr(System.String[])">
+      <summary>Возвращает множество на базе бинарного дерева поиска, заполненное строковыми значениями</summary>
+    </member>
+    <member name="M:Dict``2(System.Collections.Generic.KeyValuePair{``0,``1}[])">
+      <summary>Возвращает словарь пар элементов (ключ, значение)</summary>
+    </member>
+    <member name="M:Dict``2(System.Tuple{``0,``1}[])">
+      <summary>Возвращает словарь пар элементов (ключ, значение)</summary>
+    </member>
+    <member name="M:Dict``2(System.Collections.Generic.IEnumerable{System.Tuple{``0,``1}})">
+      <summary>Возвращает словарь пар элементов (ключ, значение), построенный на значениях последовательности</summary>
+    </member>
+    <member name="M:KV``2(``0,``1)">
+      <summary>Возвращает пару элементов (ключ, значение)</summary>
+    </member>
+    <member name="M:DictStr(System.Tuple`2[[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Возвращает словарь пар элементов (строка, строка)</summary>
+    </member>
+    <member name="M:DictStrInt(System.Tuple`2[[System.String, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Возвращает словарь пар элементов (строка, целое)</summary>
+    </member>
+    <member name="M:DictInt(System.Tuple`2[[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089],[System.Int32, mscorlib, Version=4.0.0.0, Culture=neutral, PublicKeyToken=b77a5c561934e089]][])">
+      <summary>Возвращает словарь пар элементов (целое, целое)</summary>
+    </member>
+    <member name="M:__TypeCheckAndAssignForIsMatch``1(System.Object,``0@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:__WildCardsTupleEqual``4(System.Tuple{``0,``1},System.Tuple{``2,``3},System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:__WildCardsTupleEqual``6(System.Tuple{``0,``1,``2},System.Tuple{``3,``4,``5},System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:__WildCardsTupleEqual``8(System.Tuple{``0,``1,``2,``3},System.Tuple{``4,``5,``6,``7},System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:__WildCardsTupleEqual``10(System.Tuple{``0,``1,``2,``3,``4},System.Tuple{``5,``6,``7,``8,``9},System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:__WildCardsTupleEqual``12(System.Tuple{``0,``1,``2,``3,``4,``5},System.Tuple{``6,``7,``8,``9,``10,``11},System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:__WildCardsTupleEqual``14(System.Tuple{``0,``1,``2,``3,``4,``5,``6},System.Tuple{``7,``8,``9,``10,``11,``12,``13},System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:InRangeInternal(System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InRangeInternal(System.Double,System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InRangeInternal(System.Char,System.Char,System.Char)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CopyWithSize(System.Array,System.Array)">
+      <summary>--</summary>
+    </member>
+    <member name="M:check_in_range(System.Int64,System.Int64,System.Int64)">
+      <summary>--</summary>
+    </member>
+    <member name="M:check_in_range_char(System.Char,System.Char,System.Char)">
+      <summary>--</summary>
+    </member>
+    <member name="M:RunTimeSizeOf(System.Type)">
+      <summary>--</summary>
+    </member>
+    <member name="M:GetCharInShortString(System.String,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SetCharInShortString(System.String,System.Int32,System.Int32,System.Char)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ClipShortString(System.String,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:GetResourceStream(System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FormatValue(System.Object,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FormatValue(System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FormatValue(System.Int64,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FormatValue(System.Double,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:FormatValue(System.Double,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:StringDefaultPropertySet(System.String@,System.Int32,System.Char)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CheckCanUsePointerOnType(System.Type)">
+      <summary>Проверяет возможность использования указателей на тип T</summary>
+    </member>
+    <member name="M:CheckCanUseTypeForBinaryFiles(System.Type)">
+      <summary>Проверяет возможность записи типа T в файл</summary>
+    </member>
+    <member name="M:CheckCanUseTypeForTypedFiles(System.Type)">
+      <summary>Проверяет возможность создания file of T</summary>
+    </member>
+    <member name="M:RuntimeDetermineType(System.Type)">
+      <summary>Определяет специальные типы</summary>
+    </member>
+    <member name="M:RuntimeInitialize(System.Byte,System.Object)">
+      <summary>Возвращает объект класса в зависимости от значения kind</summary>
+    </member>
+    <member name="M:GetRuntimeSize``1">
+      <summary>Вычисление размера типа на этапе выполнения</summary>
+    </member>
+    <member name="M:_ObjectToString(System.Object)">
+      <summary>Возвращает строку для вывода в write</summary>
+    </member>
+    <member name="M:ExecuteAssemlyIsDll">
+      <summary>--</summary>
+    </member>
+    <member name="M:__StandardFilesDirectory">
+      <summary>--</summary>
+    </member>
+    <member name="M:__FindFile(System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:__FixPointer(System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:omp_set_nested(System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:omp_get_nested">
+      <summary>--</summary>
+    </member>
+    <member name="M:Union(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Subtract(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Intersect(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CreateSet(System.Object[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:CreateSet">
+      <summary>--</summary>
+    </member>
+    <member name="M:CreateBoundedSet(System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InSet(System.Object,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CreateDiapason(System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CreateObjDiapason(System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareSetEquals(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareSetInEquals(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareSetLess(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareSetGreaterEqual(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareSetLessEqual(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareSetGreater(PABCSystem.TypedSet,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ClipSet(PABCSystem.TypedSet@,System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:AssignSet(PABCSystem.TypedSet@,PABCSystem.TypedSet)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ClipSetFunc(PABCSystem.TypedSet,System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ClipShortStringInSet(PABCSystem.TypedSet,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:ClipShortStringInSetProcedure(PABCSystem.TypedSet@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:AssignSetWithBounds(PABCSystem.TypedSet@,PABCSystem.TypedSet,System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSetInit(PABCSystem.TypedSet@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSetInitWithBounds(PABCSystem.TypedSet@,System.Object,System.Object)">
+      <summary>--</summary>
+    </member>
+    <member name="M:TypedSetInitWithShortString(PABCSystem.TypedSet@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InternalRange(System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InternalRange(System.Char,System.Char)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InternalRange(System.Double,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:IsInputPipedOrRedirectedFromFile">
+      <summary>--</summary>
+    </member>
+    <member name="M:CheckAndCorrectFromToAndCalcCountForSystemSlice(System.Int32,System.Int32,System.Int32@,System.Int32@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:__InitModule__">
+      <summary>--</summary>
+    </member>
+    <member name="M:__InitPABCSystem">
+      <summary>--</summary>
+    </member>
+    <member name="M:__FinalizeModule__">
+      <summary>--</summary>
+    </member>
+    <member name="M:+=(System.String@,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;(System.String,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;=(System.String,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:&gt;(System.String,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:&gt;=(System.String,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:*(System.String,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:*(System.Int32,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:*(System.Char,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:*(System.Int32,System.Char)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+(System.String,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+(System.Int32,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+(System.String,System.Double)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+(System.Double,System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+=(System.String@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:in``1(``0,System.Collections.Generic.List{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="V:_CommandLineArgs">
+      <summary>Содержит аргумены командой строки, с которыми была запущена программа</summary>
+    </member>
+    <member name="V:output">
+      <summary>Стандартный текстовый файл для вывода. Связывается процедурой Assign с файлом на диске, после чего весь вывод на консоль перенаправляется в этот файл</summary>
+    </member>
+    <member name="V:input">
+      <summary>Стандартный текстовый файл для ввода. Связывается процедурой Assign с файлом на диске, после чего весь ввод с консоли перенаправляется из этого файла</summary>
+    </member>
+    <member name="V:ErrOutput">
+      <summary>Стандартный текстовый файл ошибок. Связывается процедурой Assign с файлом на диске, после чего весь вывод с использованием ErrOutput перенаправляется в этот файл</summary>
+    </member>
+    <member name="V:CurrentIOSystem">
+      <summary>Определяет текущую систему ввода-вывода</summary>
+    </member>
+    <member name="V:IsConsoleApplication">
+      <summary>Принимает значение True, если приложение имеет консольное окно</summary>
+    </member>
+    <member name="V:RedirectIOInDebugMode">
+      <summary>--</summary>
+    </member>
+    <member name="V:ExecuteBeforeProcessTerminateIn__Mode">
+      <summary>--</summary>
+    </member>
+    <member name="V:ExitCode">
+      <summary>--</summary>
+    </member>
+    <member name="V:DefaultEncoding">
+      <summary>--</summary>
+    </member>
+    <member name="V:PrintDelimDefault">
+      <summary>--</summary>
+    </member>
+    <member name="V:PrintMatrixWithFormat">
+      <summary>--</summary>
+    </member>
+    <member name="V:__CONFIG__">
+      <summary>--</summary>
+    </member>
+    <member name="C:MaxShortInt">
+      <summary>Максимальное значение типа shortint</summary>
+    </member>
+    <member name="C:MaxByte">
+      <summary>Максимальное значение типа byte</summary>
+    </member>
+    <member name="C:MaxSmallInt">
+      <summary>Максимальное значение типа smallint</summary>
+    </member>
+    <member name="C:MaxWord">
+      <summary>Максимальное значение типа word</summary>
+    </member>
+    <member name="C:MaxLongWord">
+      <summary>Максимальное значение типа longword</summary>
+    </member>
+    <member name="C:MaxInt64">
+      <summary>Максимальное значение типа int64</summary>
+    </member>
+    <member name="C:MaxUInt64">
+      <summary>Максимальное значение типа uint64</summary>
+    </member>
+    <member name="C:MaxDouble">
+      <summary>Максимальное значение типа double</summary>
+    </member>
+    <member name="C:MinDouble">
+      <summary>Минимальное положительное значение типа double</summary>
+    </member>
+    <member name="C:MaxReal">
+      <summary>Максимальное значение типа real</summary>
+    </member>
+    <member name="C:MinReal">
+      <summary>Минимальное положительное значение типа real</summary>
+    </member>
+    <member name="C:MaxSingle">
+      <summary>Максимальное значение типа single</summary>
+    </member>
+    <member name="C:MinSingle">
+      <summary>Минимальное положительное значение типа single</summary>
+    </member>
+    <member name="C:MaxInt">
+      <summary>Максимальное значение типа integer</summary>
+    </member>
+    <member name="C:Pi">
+      <summary>Константа Pi
+ !! Pi constant</summary>
+    </member>
+    <member name="C:E">
+      <summary>Константа E
+ !! E constant</summary>
+    </member>
+    <member name="C:NewLine">
+      <summary>Константа перехода на новую строку
+ !! The newline string defined for this environment.</summary>
+    </member>
+    <member name="C:AllDelimiters">
+      <summary>Константа - символы-разделители слов
+ !! symbols - word delimiters</summary>
+    </member>
+    <member name="M:+``1(``0[],``0[])">
+      <summary>Объединяет два массива</summary>
+    </member>
+    <member name="M:in``1(``0,``0[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:+=``1(System.Collections.Generic.List{``0},System.Collections.Generic.List{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``1(System.Collections.Generic.List{``0},System.Collections.Generic.List{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:+=``1(System.Collections.Generic.List{``0},``0)">
+      <summary>--</summary>
+    </member>
+    <member name="M:*``1(System.Collections.Generic.List{``0},System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:*``1(System.Int32,System.Collections.Generic.List{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:+=``1(System.Collections.Generic.Stack{``0},``0)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+=``1(System.Collections.Generic.Queue{``0},``0)">
+      <summary>--</summary>
+    </member>
+    <member name="M:in``1(``0,System.Collections.Generic.HashSet{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``1(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``1(System.Collections.Generic.IEnumerable{``0},``0)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``1(``0,System.Collections.Generic.IEnumerable{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:in``1(``0,System.Collections.Generic.IEnumerable{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Iterate``1(``0,System.Func{``0,``0})">
+      <summary>Возвращает бесконечную рекуррентную последовательность элементов, задаваемую начальным элементом first и функцией next</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Iterate``1(``0,``0,System.Func{``0,``0,``0})">
+      <summary>Возвращает бесконечную рекуррентную последовательность элементов, задаваемую начальными элементами first, second и функцией next</summary>
+    </member>
+    <member name="M:Iterate``1(``0,``0,System.Func{``0,``0,``0})">
+      <summary>Возвращает бесконечную рекуррентную последовательность элементов, задаваемую начальными элементами first, second и функцией next</summary>
+    </member>
+    <member name="M:Deconstruct``1(``0,``0@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Iterate``1(``0,System.Func{``0,``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:Iterate``1(``0,``0,System.Func{``0,``0,``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Step(System.Int32)">
+      <summary>Возвращает бесконечную последовательность целых от текущего значения с шагом 1</summary>
+    </member>
+    <member name="M:Step(System.Int32)">
+      <summary>Возвращает бесконечную последовательность целых от текущего значения с шагом 1</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Step(System.Int32,System.Int32)">
+      <summary>Возвращает бесконечную последовательность целых от текущего значения с шагом step</summary>
+    </member>
+    <member name="M:Step(System.Int32,System.Int32)">
+      <summary>Возвращает бесконечную последовательность целых от текущего значения с шагом step</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Step(System.Double,System.Double)">
+      <summary>Возвращает бесконечную последовательность вещественных от текущего значения с шагом step</summary>
+    </member>
+    <member name="M:Step(System.Double,System.Double)">
+      <summary>Возвращает бесконечную последовательность вещественных от текущего значения с шагом step</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Repeat``1(``0)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Repeat``1(``0)">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Cycle``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Повторяет последовательность бесконечное число раз</summary>
+    </member>
+    <member name="M:Cycle``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Повторяет последовательность бесконечное число раз</summary>
+    </member>
+    <member name="M:Print(System.Int32)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.Int64)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.Double)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.Char)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.Boolean)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.Numerics.BigInteger)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Print(System.String)">
+      <summary>Выводит значение на экран, после чего выводит пробел</summary>
+    </member>
+    <member name="M:Println(System.Int32)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(System.Int64)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(System.Double)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(System.Char)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(System.Boolean)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(System.Numerics.BigInteger)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println(System.String)">
+      <summary>Выводит значение на экран и переходит на новую строку</summary>
+    </member>
+    <member name="M:Print``1(System.Collections.Generic.IEnumerable{``0},System.String)">
+      <summary>Выводит последовательность на экран, используя delim в качестве разделителя</summary>
+    </member>
+    <member name="M:Print``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Выводит последовательность на экран, используя пробел в качестве разделителя</summary>
+    </member>
+    <member name="M:Println``1(System.Collections.Generic.IEnumerable{``0},System.String)">
+      <summary>Выводит последовательность на экран, используя delim в качестве разделителя, и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Выводит последовательность на экран, используя пробел качестве разделителя, и переходит на новую строку</summary>
+    </member>
+    <member name="M:WriteLines(System.Collections.Generic.IEnumerable{System.String},System.String)">
+      <summary>Выводит последовательность строк в файл</summary>
+    </member>
+    <member name="M:PrintLines``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Выводит последовательность, каждый элемент выводится на новой строке</summary>
+    </member>
+    <member name="M:PrintLines``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Выводит последовательность, каждый элемент отображается с помощью функции map и выводится на новой строке</summary>
+    </member>
+    <member name="M:JoinToString``1(System.Collections.Generic.IEnumerable{``0},System.String)">
+      <summary>Преобразует элементы последовательности в строковое представление, после чего объединяет их в строку, используя delim в качестве разделителя</summary>
+    </member>
+    <member name="M:JoinIntoString``1(System.Collections.Generic.IEnumerable{``0},System.String)">
+      <summary>--</summary>
+    </member>
+    <member name="M:JoinToString``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Преобразует элементы последовательности в строковое представление, после чего объединяет их в строку, используя пробел в качестве разделителя</summary>
+    </member>
+    <member name="M:JoinIntoString``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>--</summary>
+    </member>
+    <member name="M:ForEach``1(System.Collections.Generic.IEnumerable{``0},System.Action{``0})">
+      <summary>Применяет действие к каждому элементу последовательности</summary>
+    </member>
+    <member name="M:ForEach``1(System.Collections.Generic.IEnumerable{``0},System.Action{``0,System.Int32})">
+      <summary>Применяет действие к каждому элементу последовательности, зависящее от номера элемента</summary>
+    </member>
+    <member name="M:Product(System.Collections.Generic.IEnumerable{System.Double})">
+      <summary>Возвращает произведение элементов последовательности</summary>
+    </member>
+    <member name="M:Product(System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>Возвращает произведение элементов последовательности</summary>
+    </member>
+    <member name="M:Product``1(System.Collections.Generic.IEnumerable{``0},System.Func{``0,System.Double})">
+      <summary>Возвращает произведение элементов последовательности, спроектированных на числовое значение</summary>
+    </member>
+    <member name="M:Product``1(System.Collections.Generic.IEnumerable{``0},System.Func{``0,System.Int32})">
+      <summary>Возвращает произведение элементов последовательности, спроектированных на числовое значение</summary>
+    </member>
+    <member name="M:Product``1(System.Collections.Generic.IEnumerable{``0},System.Func{``0,System.Numerics.BigInteger})">
+      <summary>Возвращает произведение элементов последовательности, спроектированных на числовое значение</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;PartialSum(System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>Возвращает последовательность частичных сумм элементов последовательности</summary>
+    </member>
+    <member name="M:PartialSum(System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>Возвращает последовательность частичных сумм элементов последовательности</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;PartialSum(System.Collections.Generic.IEnumerable{System.Double})">
+      <summary>Возвращает последовательность частичных сумм элементов последовательности</summary>
+    </member>
+    <member name="M:PartialSum(System.Collections.Generic.IEnumerable{System.Double})">
+      <summary>Возвращает последовательность частичных сумм элементов последовательности</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;PartialSum(System.Collections.Generic.IEnumerable{System.Numerics.BigInteger})">
+      <summary>Возвращает последовательность частичных сумм элементов последовательности</summary>
+    </member>
+    <member name="M:PartialSum(System.Collections.Generic.IEnumerable{System.Numerics.BigInteger})">
+      <summary>Возвращает последовательность частичных сумм элементов последовательности</summary>
+    </member>
+    <member name="M:Sum(System.Collections.Generic.IEnumerable{System.Numerics.BigInteger})">
+      <summary>Возвращает сумму элементов последовательности</summary>
+    </member>
+    <member name="M:Average(System.Collections.Generic.IEnumerable{System.Numerics.BigInteger})">
+      <summary>Возвращает среднее элементов последовательности</summary>
+    </member>
+    <member name="M:Product(System.Collections.Generic.IEnumerable{System.Numerics.BigInteger})">
+      <summary>Возвращает произведение элементов последовательности</summary>
+    </member>
+    <member name="M:Sorted``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает отсортированную по возрастанию последовательность</summary>
+    </member>
+    <member name="M:SortedDescending``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает отсортированную по убыванию последовательность</summary>
+    </member>
+    <member name="M:Order``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает отсортированную по возрастанию последовательность</summary>
+    </member>
+    <member name="M:OrderDescending``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает отсортированную по убыванию последовательность</summary>
+    </member>
+    <member name="M:ToHashSet``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает множество HashSet по данной последовательности</summary>
+    </member>
+    <member name="M:ToSortedSet``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает множество SortedSet по данной последовательности</summary>
+    </member>
+    <member name="M:ToLinkedList``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает LinkedList по данной последовательности</summary>
+    </member>
+    <member name="M:MinBy``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Возвращает первый элемент последовательности с минимальным значением ключа</summary>
+    </member>
+    <member name="M:MaxBy``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Возвращает первый элемент последовательности с максимальным значением ключа</summary>
+    </member>
+    <member name="M:LastMinBy``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Возвращает последний элемент последовательности с минимальным значением ключа</summary>
+    </member>
+    <member name="M:LastMaxBy``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Возвращает последний элемент последовательности с максимальным значением ключа</summary>
+    </member>
+    <member name="M:TakeLast``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Возвращает последние count элементов последовательности</summary>
+    </member>
+    <member name="M:SkipLast``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Возвращает последовательность без последних count элементов</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Cartesian``2(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1})">
+      <summary>Возвращает декартово произведение последовательностей в виде последовательности пар</summary>
+    </member>
+    <member name="M:Cartesian``2(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1})">
+      <summary>Возвращает декартово произведение последовательностей в виде последовательности пар</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Cartesian``3(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1},System.Func{``0,``1,``2})">
+      <summary>Возвращает декартово произведение последовательностей, проектируя каждую пару на значение</summary>
+    </member>
+    <member name="M:Cartesian``3(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1},System.Func{``0,``1,``2})">
+      <summary>Возвращает декартово произведение последовательностей, проектируя каждую пару на значение</summary>
+    </member>
+    <member name="M:SplitAt``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Разбивает последовательность на две в позиции ind. Реализуется двухпроходным алгоритмом</summary>
+    </member>
+    <member name="M:Partition``1(System.Collections.Generic.IEnumerable{``0},System.Func{``0,System.Boolean})">
+      <summary>Разделяет последовательность на две по заданному условию. Реализуется двухпроходным алгоритмом</summary>
+    </member>
+    <member name="M:Partition``1(System.Collections.Generic.IEnumerable{``0},System.Func{``0,System.Int32,System.Boolean})">
+      <summary>Разделяет последовательность на две по заданному условию, в котором участвует индекс. Реализуется двухпроходным алгоритмом</summary>
+    </member>
+    <member name="M:ZipTuple``2(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1})">
+      <summary>Объединяет две последовательности в последовательность двухэлементных кортежей</summary>
+    </member>
+    <member name="M:ZipTuple``3(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1},System.Collections.Generic.IEnumerable{``2})">
+      <summary>Объединяет три последовательности в последовательность трехэлементных кортежей</summary>
+    </member>
+    <member name="M:ZipTuple``4(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``1},System.Collections.Generic.IEnumerable{``2},System.Collections.Generic.IEnumerable{``3})">
+      <summary>Объединяет четыре последовательности в последовательность четырехэлементных кортежей</summary>
+    </member>
+    <member name="M:UnZipTuple``2(System.Collections.Generic.IEnumerable{System.Tuple{``0,``1}})">
+      <summary>Разъединяет последовательность двухэлементных кортежей на две последовательности. Реализуется двухпроходным алгоритмом</summary>
+    </member>
+    <member name="M:UnZipTuple``3(System.Collections.Generic.IEnumerable{System.Tuple{``0,``1,``2}})">
+      <summary>Разъединяет последовательность трехэлементных кортежей на три последовательности. Реализуется многопроходным алгоритмом</summary>
+    </member>
+    <member name="M:UnZipTuple``4(System.Collections.Generic.IEnumerable{System.Tuple{``0,``1,``2,``3}})">
+      <summary>Разъединяет последовательность четырехэлементных кортежей на четыре последовательности. Реализуется многопроходным алгоритмом</summary>
+    </member>
+    <member name="M:Interleave``1(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0})">
+      <summary>Чередует элементы двух последовательностей</summary>
+    </member>
+    <member name="M:Interleave``1(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0})">
+      <summary>Чередует элементы трех последовательностей</summary>
+    </member>
+    <member name="M:Interleave``1(System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0},System.Collections.Generic.IEnumerable{``0})">
+      <summary>Чередует элементы четырех последовательностей</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Numerate``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Нумерует последовательность с единицы</summary>
+    </member>
+    <member name="M:Numerate``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Нумерует последовательность с единицы</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Numerate``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Нумерует последовательность с номера from</summary>
+    </member>
+    <member name="M:Numerate``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Нумерует последовательность с номера from</summary>
+    </member>
+    <member name="M:Tabulate``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Табулирует функцию последовательностью</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Pairwise``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Превращает последовательность в последовательность пар соседних элементов</summary>
+    </member>
+    <member name="M:Pairwise``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Превращает последовательность в последовательность пар соседних элементов</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Nwise``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Превращает последовательность в последовательность n-ок соседних элементов</summary>
+    </member>
+    <member name="M:Nwise``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Превращает последовательность в последовательность n-ок соседних элементов</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Pairwise``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``0,``1})">
+      <summary>Превращает последовательность в последовательность пар соседних элементов, применяет func к каждой паре полученных элементов и получает новую последовательность</summary>
+    </member>
+    <member name="M:Pairwise``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``0,``1})">
+      <summary>Превращает последовательность в последовательность пар соседних элементов, применяет func к каждой паре полученных элементов и получает новую последовательность</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Batch``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Разбивает последовательность на серии длины size</summary>
+    </member>
+    <member name="M:Batch``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Разбивает последовательность на серии длины size</summary>
+    </member>
+    <member name="M:Batch``2(System.Collections.Generic.IEnumerable{``0},System.Int32,System.Func{System.Collections.Generic.IEnumerable{``0},``1})">
+      <summary>Разбивает последовательность на серии длины size и применяет проекцию к каждой серии</summary>
+    </member>
+    <member name="M:SliceSeqImpl``1(System.Collections.Generic.IEnumerable{``0},System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Slice``1(System.Collections.Generic.IEnumerable{``0},System.Int32,System.Int32)">
+      <summary>Возвращает срез последовательности от номера from с шагом step &gt; 0</summary>
+    </member>
+    <member name="M:Slice``1(System.Collections.Generic.IEnumerable{``0},System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает срез последовательности от номера from с шагом step &gt; 0 длины не более count</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;IncrementalSeq(System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:IncrementalSeq(System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>--</summary>
+    </member>
+    <member name="M:IncrementalSeq(System.Collections.Generic.IEnumerable{System.Double})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;IncrementalSeq(System.Collections.Generic.IEnumerable{System.Double})">
+      <summary>--</summary>
+    </member>
+    <member name="M:Incremental(System.Collections.Generic.IEnumerable{System.Int32})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Int32[])">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Collections.Generic.List{System.Int32})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Collections.Generic.LinkedList{System.Int32})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Collections.Generic.IEnumerable{System.Double})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Double[])">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Collections.Generic.List{System.Double})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:Incremental(System.Collections.Generic.LinkedList{System.Double})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Incremental``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``0,``1})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности. В качестве функции разности используется func</summary>
+    </member>
+    <member name="M:Incremental``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``0,``1})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности. В качестве функции разности используется func</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Incremental``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``0,System.Int32,``1})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности. В качестве функции разности используется func</summary>
+    </member>
+    <member name="M:Incremental``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``0,System.Int32,``1})">
+      <summary>Возвращает последовательность разностей соседних элементов исходной последовательности. В качестве функции разности используется func</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;AdjacentGroup``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Группирует одинаковые подряд идущие элементы, получая последовательность массивов</summary>
+    </member>
+    <member name="M:AdjacentGroup``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Группирует одинаковые подряд идущие элементы, получая последовательность массивов</summary>
+    </member>
+    <member name="M:CountOf``1(System.Collections.Generic.IEnumerable{``0},``0)">
+      <summary>Возвращает количество элементов, равных указанному значению</summary>
+    </member>
+    <member name="M:RandomElement``1(System.Collections.Generic.List{``0})">
+      <summary>Возвращает случайный элемент списка</summary>
+    </member>
+    <member name="M:Indices``1(System.Collections.Generic.List{``0})">
+      <summary>Возвращает последовательность индексов списка</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Indices``1(System.Collections.Generic.List{``0},System.Func{``0,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов списка, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:Indices``1(System.Collections.Generic.List{``0},System.Func{``0,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов списка, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Indices``1(System.Collections.Generic.List{``0},System.Func{``0,System.Int32,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов списка, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:Indices``1(System.Collections.Generic.List{``0},System.Func{``0,System.Int32,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов списка, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:Shuffle``1(System.Collections.Generic.List{``0})">
+      <summary>Перемешивает элементы списка случайным образом</summary>
+    </member>
+    <member name="M:AdjacentFind``1(System.Collections.Generic.IList{``0},System.Int32)">
+      <summary>Находит первую пару подряд идущих одинаковых элементов и возвращает индекс первого элемента пары. Если не найден, возвращается -1</summary>
+    </member>
+    <member name="M:AdjacentFind``1(System.Collections.Generic.IList{``0},System.Func{``0,``0,System.Boolean},System.Int32)">
+      <summary>Находит первую пару подряд идущих одинаковых элементов, используя функцию сравнения eq, и возвращает индекс первого элемента пары. Если не найден, возвращается -1</summary>
+    </member>
+    <member name="M:IndexMin``1(System.Collections.Generic.List{``0},System.Int32)">
+      <summary>Возвращает индекс первого минимального элемента начиная с позиции index</summary>
+    </member>
+    <member name="M:IndexMax``1(System.Collections.Generic.List{``0},System.Int32)">
+      <summary>Возвращает индекс первого максимального элемента начиная с позиции index</summary>
+    </member>
+    <member name="M:LastIndexMin``1(System.Collections.Generic.List{``0},System.Int32)">
+      <summary>Возвращает индекс последнего минимального элемента в диапазоне [0,index-1]</summary>
+    </member>
+    <member name="M:LastIndexMin``1(System.Collections.Generic.List{``0})">
+      <summary>Возвращает индекс последнего минимального элемента</summary>
+    </member>
+    <member name="M:LastIndexMax``1(System.Collections.Generic.List{``0},System.Int32)">
+      <summary>Возвращает индекс последнего минимального элемента в диапазоне [0,index-1]</summary>
+    </member>
+    <member name="M:LastIndexMax``1(System.Collections.Generic.List{``0})">
+      <summary>Возвращает индекс последнего максимального элемента</summary>
+    </member>
+    <member name="M:Replace``1(System.Collections.Generic.List{``0},``0,``0)">
+      <summary>Заменяет в массиве все вхождения одного значения на другое
+ Заменяет в списке все вхождения одного значения на другое</summary>
+    </member>
+    <member name="M:Transform``1(System.Collections.Generic.List{``0},System.Func{``0,``0})">
+      <summary>Преобразует элементы массива или списка по заданному правилу</summary>
+    </member>
+    <member name="M:Transform``1(System.Collections.Generic.List{``0},System.Func{``0,System.Int32,``0})">
+      <summary>Преобразует элементы массива или списка по заданному правилу</summary>
+    </member>
+    <member name="M:Fill``1(System.Collections.Generic.List{``0},``0)">
+      <summary>Заполняет элементы списка указанным значением</summary>
+    </member>
+    <member name="M:Fill``1(System.Collections.Generic.List{``0},System.Func{System.Int32,``0})">
+      <summary>Заполняет элементы списка значениями, вычисляемыми по некоторому правилу</summary>
+    </member>
+    <member name="M:CreateSliceFromListInternal``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:CorrectCountForSlice(System.Int32,System.Int32,System.Int32,System.Int32@)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SliceListImpl``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Slice``1(System.Collections.Generic.List{``0},System.Int32,System.Int32)">
+      <summary>Возвращает срез списка от индекса from с шагом step</summary>
+    </member>
+    <member name="M:Slice``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает срез списка от индекса from с шагом step длины не более count</summary>
+    </member>
+    <member name="M:RemoveLast``1(System.Collections.Generic.List{``0})">
+      <summary>Удаляет последний элемент. Если элементов нет, генерирует исключение</summary>
+    </member>
+    <member name="M:CorrectFromToAndCalcCountForSystemSliceQuestion(System.Int32,System.Int32,System.Int32@,System.Int32@,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceListImpl``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice``1(System.Collections.Generic.List{``0},System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceAssignmentListImpl``1(System.Collections.Generic.List{``0},System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceAssignment``1(System.Collections.Generic.List{``0},System.Collections.Generic.List{``0},System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceAssignment``1(System.Collections.Generic.List{``0},System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceListImplQuestion``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceQuestion``1(System.Collections.Generic.List{``0},System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceQuestion``1(System.Collections.Generic.List{``0},System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:RowCount``1(``0[])">
+      <summary>Количество строк в двумерном массиве</summary>
+    </member>
+    <member name="M:ColCount``1(``0[])">
+      <summary>Количество столбцов в двумерном массиве</summary>
+    </member>
+    <member name="M:Size``1(``0[])">
+      <summary>Количество столбцов в двумерном массиве</summary>
+    </member>
+    <member name="M:in``1(``0,``0[])">
+      <summary>Есть ли элемент в матрице</summary>
+    </member>
+    <member name="M:MatrEqual``1(``0[],``0[])">
+      <summary>Равны ли матрицы</summary>
+    </member>
+    <member name="M:Print``1(``0[],System.Int32)">
+      <summary>Вывод двумерного массива, w - ширина поля вывода</summary>
+    </member>
+    <member name="M:Print(System.Double[,],System.Int32,System.Int32)">
+      <summary>Вывод двумерного вещественного массива по формату :w:f</summary>
+    </member>
+    <member name="M:Println``1(``0[],System.Int32)">
+      <summary>Вывод двумерного массива и переход на следующую строку, w - ширина поля вывода</summary>
+    </member>
+    <member name="M:Println(System.Double[,],System.Int32,System.Int32)">
+      <summary>Вывод двумерного вещественного массива по формату :w:f и переход на следующую строку</summary>
+    </member>
+    <member name="M:Row``1(``0[],System.Int32)">
+      <summary>k-тая строка двумерного массива</summary>
+    </member>
+    <member name="M:Col``1(``0[],System.Int32)">
+      <summary>k-тый столбец двумерного массива</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;RowSeq``1(``0[],System.Int32)">
+      <summary>k-тая строка двумерного массива как последовательность</summary>
+    </member>
+    <member name="M:RowSeq``1(``0[],System.Int32)">
+      <summary>k-тая строка двумерного массива как последовательность</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;ColSeq``1(``0[],System.Int32)">
+      <summary>k-тый столбец двумерного массива как последовательность</summary>
+    </member>
+    <member name="M:ColSeq``1(``0[],System.Int32)">
+      <summary>k-тый столбец двумерного массива как последовательность</summary>
+    </member>
+    <member name="M:Rows``1(``0[])">
+      <summary>Возвращает массив строк двумерного массива</summary>
+    </member>
+    <member name="M:Cols``1(``0[])">
+      <summary>Возвращает массив столбцов двумерного массива</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;RowsSeq``1(``0[])">
+      <summary>Возвращает последовательность строк двумерного массива</summary>
+    </member>
+    <member name="M:RowsSeq``1(``0[])">
+      <summary>Возвращает последовательность строк двумерного массива</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;ColsSeq``1(``0[])">
+      <summary>Возвращает последовательность столбцов двумерного массива</summary>
+    </member>
+    <member name="M:ColsSeq``1(``0[])">
+      <summary>Возвращает последовательность столбцов двумерного массива</summary>
+    </member>
+    <member name="M:SwapRows``1(``0[],System.Int32,System.Int32)">
+      <summary>Меняет местами две строки двумерного массива с номерами k1 и k2</summary>
+    </member>
+    <member name="M:SwapCols``1(``0[],System.Int32,System.Int32)">
+      <summary>Меняет местами два столбца двумерного массива с номерами k1 и k2</summary>
+    </member>
+    <member name="M:SetRow``1(``0[],System.Int32,``0[])">
+      <summary>Меняет строку k двумерного массива на другую строку</summary>
+    </member>
+    <member name="M:SetRow``1(``0[],System.Int32,System.Collections.Generic.IEnumerable{``0})">
+      <summary>Меняет строку k двумерного массива на другую строку</summary>
+    </member>
+    <member name="M:SetCol``1(``0[],System.Int32,``0[])">
+      <summary>Меняет столбец k двумерного массива на другой столбец</summary>
+    </member>
+    <member name="M:SetCol``1(``0[],System.Int32,System.Collections.Generic.IEnumerable{``0})">
+      <summary>Меняет столбец k двумерного массива на другой столбец</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;ElementsWithIndices``1(``0[])">
+      <summary>Возвращает по заданному двумерному массиву последовательность (a[i,j],i,j)</summary>
+    </member>
+    <member name="M:ElementsWithIndices``1(``0[])">
+      <summary>Возвращает по заданному двумерному массиву последовательность (a[i,j],i,j)</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Indices``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Возвращает по заданному двумерному массиву последовательность индексов элементов, удовлетворяющих заданному условию</summary>
+    </member>
+    <member name="M:Indices``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Возвращает по заданному двумерному массиву последовательность индексов элементов, удовлетворяющих заданному условию</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Indices``1(``0[],System.Func{``0,System.Int32,System.Int32,System.Boolean})">
+      <summary>Возвращает по заданному двумерному массиву последовательность индексов элементов, удовлетворяющих заданному условию</summary>
+    </member>
+    <member name="M:Indices``1(``0[],System.Func{``0,System.Int32,System.Int32,System.Boolean})">
+      <summary>Возвращает по заданному двумерному массиву последовательность индексов элементов, удовлетворяющих заданному условию</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;ElementsByRow``1(``0[])">
+      <summary>Возвращает по заданному двумерному массиву последовательность его элементов по строкам</summary>
+    </member>
+    <member name="M:ElementsByRow``1(``0[])">
+      <summary>Возвращает по заданному двумерному массиву последовательность его элементов по строкам</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;ElementsByCol``1(``0[])">
+      <summary>Возвращает по заданному двумерному массиву последовательность его элементов по столбцам</summary>
+    </member>
+    <member name="M:ElementsByCol``1(``0[])">
+      <summary>Возвращает по заданному двумерному массиву последовательность его элементов по столбцам</summary>
+    </member>
+    <member name="M:ConvertAll``2(``0[],System.Func{``0,``1})">
+      <summary>Преобразует элементы двумерного массива и возвращает преобразованный массив</summary>
+    </member>
+    <member name="M:ConvertAll``2(``0[],System.Func{``0,System.Int32,System.Int32,``1})">
+      <summary>Преобразует элементы двумерного массива и возвращает преобразованный массив</summary>
+    </member>
+    <member name="M:Transform``1(``0[],System.Func{``0,``0})">
+      <summary>Преобразует элементы двумерного массива по заданному правилу</summary>
+    </member>
+    <member name="M:Transform``1(``0[],System.Func{``0,System.Int32,System.Int32,``0})">
+      <summary>Преобразует элементы двумерного массива по заданному правилу</summary>
+    </member>
+    <member name="M:Fill``1(``0[],System.Func{System.Int32,System.Int32,``0})">
+      <summary>Заполняет элементы двумерного массива значениями, вычисляемыми по некоторому правилу</summary>
+    </member>
+    <member name="M:FillRandom(System.Int32[,],System.Int32,System.Int32)">
+      <summary>Заполняет элементы двумерного массива случайными значениями в диапазоне от a до b</summary>
+    </member>
+    <member name="M:FillRandom(System.Double[,],System.Double,System.Double)">
+      <summary>Заполняет элементы двумерного массива случайными значениями в диапазоне от a до b</summary>
+    </member>
+    <member name="M:ForEach``1(``0[],System.Action{``0})">
+      <summary>Применяет действие к каждому элементу двумерного массива</summary>
+    </member>
+    <member name="M:ForEach``1(``0[],System.Action{``0,System.Int32,System.Int32})">
+      <summary>Применяет действие к каждому элементу двумерного массива</summary>
+    </member>
+    <member name="M:MatrSlice``1(``0[],System.Int32[],System.Int32[])">
+      <summary>Возвращает срез двумерного массива. RowIndex и ColIndex задают срезаемые строки и столбцы</summary>
+    </member>
+    <member name="M:MatrSlice``1(``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает срез двумерного массива между строками FromRow, ToRow и столбцами FromCol, ToCol</summary>
+    </member>
+    <member name="M:ArrEqual``1(``0[],``0[])">
+      <summary>Возвращает, совпадают ли массивы</summary>
+    </member>
+    <member name="M:FillRandom(System.Int32[],System.Int32,System.Int32)">
+      <summary>Заполняет массив случайными значениями в диапазоне от a до b</summary>
+    </member>
+    <member name="M:FillRandom(System.Double[],System.Double,System.Double)">
+      <summary>Заполняет массив случайными значениями в диапазоне от a до b</summary>
+    </member>
+    <member name="M:RandomElement``1(``0[])">
+      <summary>Возвращает случайный элемент массива</summary>
+    </member>
+    <member name="M:Shuffle``1(``0[])">
+      <summary>Перемешивает элементы массива случайным образом</summary>
+    </member>
+    <member name="M:Min``1(``0[])">
+      <summary>Возвращает минимальный элемент</summary>
+    </member>
+    <member name="M:Max``1(``0[])">
+      <summary>Возвращает максимальный элемент</summary>
+    </member>
+    <member name="M:Min(System.Int32[])">
+      <summary>Возвращает минимальный элемент</summary>
+    </member>
+    <member name="M:Min(System.Double[])">
+      <summary>Возвращает минимальный элемент</summary>
+    </member>
+    <member name="M:Max(System.Int32[])">
+      <summary>Возвращает максимальный элемент</summary>
+    </member>
+    <member name="M:Max(System.Double[])">
+      <summary>Возвращает максимальный элемент</summary>
+    </member>
+    <member name="M:IndexMin``1(``0[],System.Int32)">
+      <summary>Возвращает индекс первого минимального элемента начиная с позиции index</summary>
+    </member>
+    <member name="M:IndexMax``1(``0[],System.Int32)">
+      <summary>Возвращает индекс первого максимального элемента начиная с позиции index</summary>
+    </member>
+    <member name="M:LastIndexMin``1(``0[],System.Int32)">
+      <summary>Возвращает индекс последнего минимального элемента в диапазоне [0,index-1]</summary>
+    </member>
+    <member name="M:LastIndexMin``1(``0[])">
+      <summary>Возвращает индекс последнего минимального элемента</summary>
+    </member>
+    <member name="M:LastIndexMax``1(``0[],System.Int32)">
+      <summary>Возвращает индекс последнего минимального элемента в диапазоне [0,index-1]</summary>
+    </member>
+    <member name="M:LastIndexMax``1(``0[])">
+      <summary>Возвращает индекс последнего максимального элемента</summary>
+    </member>
+    <member name="M:Fill``1(``0[],``0)">
+      <summary>Заполняет элементы массива указанным значением</summary>
+    </member>
+    <member name="M:Fill``1(``0[],System.Func{System.Int32,``0})">
+      <summary>Заполняет элементы массива значениями, вычисляемыми по некоторому правилу</summary>
+    </member>
+    <member name="M:Transform``1(``0[],System.Func{``0,``0})">
+      <summary>Преобразует элементы массива по заданному правилу</summary>
+    </member>
+    <member name="M:Transform``1(``0[],System.Func{``0,System.Int32,``0})">
+      <summary>Преобразует элементы массива по заданному правилу</summary>
+    </member>
+    <member name="M:BinarySearch``1(``0[],``0)">
+      <summary>Выполняет бинарный поиск в отсортированном массиве</summary>
+    </member>
+    <member name="M:ConvertAll``2(``0[],System.Func{``0,``1})">
+      <summary>Преобразует элементы массива и возвращает преобразованный массив</summary>
+    </member>
+    <member name="M:ConvertAll``2(``0[],System.Func{``0,System.Int32,``1})">
+      <summary>Преобразует элементы массива и возвращает преобразованный массив</summary>
+    </member>
+    <member name="M:Find``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Выполняет поиск первого элемента в массиве, удовлетворяющего предикату. Если не найден, возвращается нулевое значение соответствующего типа</summary>
+    </member>
+    <member name="M:FindIndex``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Выполняет поиск индекса первого элемента в массиве, удовлетворяющего предикату. Если не найден, возвращается -1</summary>
+    </member>
+    <member name="M:FindIndex``1(``0[],System.Int32,System.Func{``0,System.Boolean})">
+      <summary>Выполняет поиск индекса первого элемента в массиве, удовлетворяющего предикату, начиная с индекса start. Если не найден, возвращается -1</summary>
+    </member>
+    <member name="M:FindAll``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Возвращает в виде массива все элементы, удовлетворяющие предикату</summary>
+    </member>
+    <member name="M:FindLast``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Выполняет поиск последнего элемента в массиве, удовлетворяющего предикату. Если не найден, возвращается нулевое значение соответствующего типа</summary>
+    </member>
+    <member name="M:FindLastIndex``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Выполняет поиск индекса последнего элемента в массиве, удовлетворяющего предикату. Если не найден, возвращается -1</summary>
+    </member>
+    <member name="M:FindLastIndex``1(``0[],System.Int32,System.Func{``0,System.Boolean})">
+      <summary>Выполняет поиск индекса последнего элемента в массиве, удовлетворяющего предикату, в диапазоне индексов от 0 до start. Если не найден, возвращается -1</summary>
+    </member>
+    <member name="M:IndexOf``1(``0[],``0)">
+      <summary>Возвращает индекс первого вхождения элемента или -1 если элемент не найден</summary>
+    </member>
+    <member name="M:IndexOf``1(``0[],``0,System.Int32)">
+      <summary>Возвращает индекс первого вхождения элемента начиная с индекса start или -1 если элемент не найден</summary>
+    </member>
+    <member name="M:LastIndexOf``1(``0[],``0)">
+      <summary>Возвращает индекс последнего вхождения элемента или -1 если элемент не найден</summary>
+    </member>
+    <member name="M:LastIndexOf``1(``0[],``0,System.Int32)">
+      <summary>Возвращает индекс последнего вхождения элемента начиная с индекса start или -1 если элемент не найден</summary>
+    </member>
+    <member name="M:Sort``1(``0[])">
+      <summary>Сортирует массив по возрастанию</summary>
+    </member>
+    <member name="M:SortDescending``1(``0[])">
+      <summary>Сортирует массив по убыванию</summary>
+    </member>
+    <member name="M:Sort``1(``0[],System.Func{``0,``0,System.Int32})">
+      <summary>Сортирует массив по возрастанию, используя cmp в качестве функции сравнения элементов</summary>
+    </member>
+    <member name="M:Sort``2(``0[],System.Func{``0,``1})">
+      <summary>Сортирует массив по возрастанию по ключу</summary>
+    </member>
+    <member name="M:SortDescending``2(``0[],System.Func{``0,``1})">
+      <summary>Сортирует массив по убыванию по ключу</summary>
+    </member>
+    <member name="M:High(System.Array)">
+      <summary>Возвращает индекс последнего элемента массива</summary>
+    </member>
+    <member name="M:Low(System.Array)">
+      <summary>Возвращает индекс первого элемента массива</summary>
+    </member>
+    <member name="M:Indices``1(``0[])">
+      <summary>Возвращает последовательность индексов одномерного массива</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Indices``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов одномерного массива, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:Indices``1(``0[],System.Func{``0,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов одномерного массива, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Indices``1(``0[],System.Func{``0,System.Int32,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов одномерного массива, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:Indices``1(``0[],System.Func{``0,System.Int32,System.Boolean})">
+      <summary>Возвращает последовательность индексов элементов одномерного массива, удовлетворяющих условию</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Combinations``1(``0[],System.Int32)">
+      <summary>Возвращает все сочетания по m элементов</summary>
+    </member>
+    <member name="M:Combinations``1(``0[],System.Int32)">
+      <summary>Возвращает все сочетания по m элементов</summary>
+    </member>
+    <member name="M:Combinations``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Возвращает все сочетания по m элементов</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;Permutations``1(``0[])">
+      <summary>Возвращает все перестановки множества элементов, заданного массивом</summary>
+    </member>
+    <member name="M:Permutations``1(``0[])">
+      <summary>Возвращает все перестановки множества элементов, заданного массивом</summary>
+    </member>
+    <member name="M:Permutations``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает все перестановки множества элементов, заданного последовательностью</summary>
+    </member>
+    <member name="M:Permutations``1(``0[],System.Int32)">
+      <summary>Возвращает все частичные перестановки из n элементов по m</summary>
+    </member>
+    <member name="M:Permutations``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Возвращает все частичные перестановки из n элементов по m</summary>
+    </member>
+    <member name="M:&lt;yield_helper_error_checkerr&gt;CartesianPower``1(``0[],System.Int32)">
+      <summary>Возвращает n-тую декартову степень множества элементов, заданного массивом</summary>
+    </member>
+    <member name="M:CartesianPower``1(``0[],System.Int32)">
+      <summary>Возвращает n-тую декартову степень множества элементов, заданного массивом</summary>
+    </member>
+    <member name="M:CartesianPower``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>Возвращает n-тую декартову степень множества элементов, заданного последовательностью</summary>
+    </member>
+    <member name="M:Cartesian``1(``0[],System.Int32)">
+      <summary>-(расширение sequence of T) function Cartesian&lt;T, T1&gt;(b: sequence of T1): sequence of (T, T1);
+ Возвращает декартово произведение последовательностей в виде последовательности пар</summary>
+    </member>
+    <member name="M:Cartesian``1(System.Collections.Generic.IEnumerable{``0},System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Permutations(System.String)">
+      <summary>Возвращает все перестановки букв в строке в виде последовательности строк</summary>
+    </member>
+    <member name="M:Permutations(System.String,System.Int32)">
+      <summary>Возвращает все частичные перестановки букв строки по m символов в виде последовательности строк</summary>
+    </member>
+    <member name="M:Cartesian(System.String,System.Int32)">
+      <summary>-(расширение sequence of T) function Cartesian&lt;T, T1&gt;(b: sequence of T1): sequence of (T, T1);
+ Возвращает n-тую декартову степень множества символов, заданного строкой</summary>
+    </member>
+    <member name="M:CartesianPower(System.String,System.Int32)">
+      <summary>Возвращает n-тую декартову степень множества символов, заданного строкой</summary>
+    </member>
+    <member name="M:Combinations(System.String,System.Int32)">
+      <summary>Возвращает все сочетания по m элементов</summary>
+    </member>
+    <member name="M:CreateSliceFromArrayInternal``1(``0[],System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SliceArrayImpl``1(``0[],System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Slice``1(``0[],System.Int32,System.Int32)">
+      <summary>Возвращает срез массива от индекса from с шагом step</summary>
+    </member>
+    <member name="M:Slice``1(``0[],System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает срез массива от индекса from с шагом step длины не более count</summary>
+    </member>
+    <member name="M:SystemSliceArrayImpl``1(``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice``1(``0[],System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice``1(``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceAssignmentArrayImpl``1(``0[],``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceAssignment``1(``0[],``0[],System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceAssignment``1(``0[],``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceArrayImplQuestion``1(``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceQuestion``1(``0[],System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceQuestion``1(``0[],System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN1``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN1``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN1``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN2``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN2``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN2``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN3``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN3``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceN4``1(``0[],PABCSystem_implementation______.SliceType[])">
+      <summary>--</summary>
+    </member>
+    <member name="M:Divs(System.Int32,System.Int32)">
+      <summary>Возвращает True если целое делится на указанное значение</summary>
+    </member>
+    <member name="M:NotDivs(System.Int32,System.Int32)">
+      <summary>Возвращает True если целое не делится на указанное значение</summary>
+    </member>
+    <member name="M:DivsAny(System.Int32,System.Int32[])">
+      <summary>Возвращает True если целое делится на одно из значений</summary>
+    </member>
+    <member name="M:DivsAll(System.Int32,System.Int32[])">
+      <summary>Возвращает True если целое делится на все значения</summary>
+    </member>
+    <member name="M:Sqrt(System.Int32)">
+      <summary>Возвращает квадратный корень числа</summary>
+    </member>
+    <member name="M:Sqr(System.Int32)">
+      <summary>Возвращает квадрат числа</summary>
+    </member>
+    <member name="M:Between(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:InRange(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:IsEven(System.Int32)">
+      <summary>Возвращает, является ли целое четным</summary>
+    </member>
+    <member name="M:IsOdd(System.Int32)">
+      <summary>Возвращает, является ли целое нечетным</summary>
+    </member>
+    <member name="M:Range(System.Int32)">
+      <summary>Возвращает последовательность чисел от 1 до данного</summary>
+    </member>
+    <member name="M:To(System.Int32,System.Int32)">
+      <summary>Генерирует последовательность целых от текущего значения до n</summary>
+    </member>
+    <member name="M:Downto(System.Int32,System.Int32)">
+      <summary>Генерирует последовательность целых от текущего значения до n в убывающем порядке</summary>
+    </member>
+    <member name="M:Times(System.Int32)">
+      <summary>Возвращает последовательность целых 0,1,...n-1</summary>
+    </member>
+    <member name="M:Clamp(System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает число, ограниченное диапазоном от bottom до top включительно</summary>
+    </member>
+    <member name="M:ClampTop(System.Int32,System.Int32)">
+      <summary>Возвращает число, ограниченное величиной top сверху</summary>
+    </member>
+    <member name="M:ClampBottom(System.Int32,System.Int32)">
+      <summary>Возвращает число, ограниченное величиной bottom снизу</summary>
+    </member>
+    <member name="M:Sqrt(System.Numerics.BigInteger)">
+      <summary>Возвращает квадратный корень числа</summary>
+    </member>
+    <member name="M:Between(System.Double,System.Double,System.Double)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:InRange(System.Double,System.Double,System.Double)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:Sqrt(System.Double)">
+      <summary>Возвращает квадратный корень числа</summary>
+    </member>
+    <member name="M:Sqr(System.Double)">
+      <summary>Возвращает квадрат числа</summary>
+    </member>
+    <member name="M:Round(System.Double)">
+      <summary>Возвращает число, округленное до ближайшего целого</summary>
+    </member>
+    <member name="M:Round(System.Double,System.Int32)">
+      <summary>Возвращает x, округленное до ближайшего вещественного с digits знаками после десятичной точки</summary>
+    </member>
+    <member name="M:RoundBigInteger(System.Double)">
+      <summary>Возвращает число, округленное до ближайшего длинного целого</summary>
+    </member>
+    <member name="M:Trunc(System.Double)">
+      <summary>Возвращает целую часть вещественного числа</summary>
+    </member>
+    <member name="M:TruncBigInteger(System.Double)">
+      <summary>Возвращает целую часть вещественного числа как длинное целое</summary>
+    </member>
+    <member name="M:Floor(System.Double)">
+      <summary>Возвращает наибольшее целое, меньшее или равное вещественному числу</summary>
+    </member>
+    <member name="M:Ceil(System.Double)">
+      <summary>Возвращает наменьшее целое, большее или равное вещественному числу</summary>
+    </member>
+    <member name="M:ToString(System.Double,System.Int32)">
+      <summary>Возвращает вещественное, отформатированное к строке с frac цифрами после десятичной точки</summary>
+    </member>
+    <member name="M:Clamp(System.Double,System.Double,System.Double)">
+      <summary>Возвращает число, ограниченное диапазоном от bottom до top включительно</summary>
+    </member>
+    <member name="M:ClampTop(System.Double,System.Double)">
+      <summary>Возвращает число, ограниченное величиной top сверху</summary>
+    </member>
+    <member name="M:ClampBottom(System.Double,System.Double)">
+      <summary>Возвращает число, ограниченное величиной bottom снизу</summary>
+    </member>
+    <member name="M:Between(System.Char,System.Char,System.Char)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:InRange(System.Char,System.Char,System.Char)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:Pred(System.Char)">
+      <summary>Предыдущий символ</summary>
+    </member>
+    <member name="M:Succ(System.Char)">
+      <summary>Следующий символ</summary>
+    </member>
+    <member name="M:Code(System.Char)">
+      <summary>Код символа в кодировке Unicode</summary>
+    </member>
+    <member name="M:IsDigit(System.Char)">
+      <summary>Является ли символ цифрой</summary>
+    </member>
+    <member name="M:IsLetter(System.Char)">
+      <summary>Является ли символ буквой</summary>
+    </member>
+    <member name="M:IsLower(System.Char)">
+      <summary>Принадлежит ли символ к категории букв нижнего регистра</summary>
+    </member>
+    <member name="M:IsUpper(System.Char)">
+      <summary>Принадлежит ли символ к категории букв верхнего регистра</summary>
+    </member>
+    <member name="M:ToDigit(System.Char)">
+      <summary>Преобразует символ в цифру</summary>
+    </member>
+    <member name="M:ToLower(System.Char)">
+      <summary>Преобразует символ в нижний регистр</summary>
+    </member>
+    <member name="M:ToUpper(System.Char)">
+      <summary>Преобразует символ в верхний регистр</summary>
+    </member>
+    <member name="M:Replace(System.String,System.String,System.String,System.Int32)">
+      <summary>Заменяет count вхождений подстроки oldStr на подстроку newStr в исходной строке</summary>
+    </member>
+    <member name="M:Between(System.String,System.String,System.String)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:InRange(System.String,System.String,System.String)">
+      <summary>Возвращает True если значение находится между двумя другими</summary>
+    </member>
+    <member name="M:ReadInteger(System.String,System.Int32@)">
+      <summary>Считывает целое из строки начиная с позиции from и устанавливает from за считанным значением</summary>
+    </member>
+    <member name="M:ReadReal(System.String,System.Int32@)">
+      <summary>Считывает вещественное из строки начиная с позиции from и устанавливает from за считанным значением</summary>
+    </member>
+    <member name="M:ReadWord(System.String,System.Int32@)">
+      <summary>Считывает слово из строки начиная с позиции from и устанавливает from за считанным значением</summary>
+    </member>
+    <member name="M:ToInteger(System.String)">
+      <summary>Преобразует строку в целое</summary>
+    </member>
+    <member name="M:ToBigInteger(System.String)">
+      <summary>Преобразует строку в BigInteger</summary>
+    </member>
+    <member name="M:ToReal(System.String)">
+      <summary>Преобразует строку в вещественное</summary>
+    </member>
+    <member name="M:TryToInteger(System.String,System.Int32@)">
+      <summary>Преобразует строку в целое и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:TryToReal(System.String,System.Double@)">
+      <summary>Преобразует строку в вещественное и записывает его в value. 
+При невозможности преобразования возвращается False</summary>
+    </member>
+    <member name="M:IsReal(System.String)">
+      <summary>Возвращает True если строку можно преобразовать в вещественное</summary>
+    </member>
+    <member name="M:IsInteger(System.String)">
+      <summary>Возвращает True если строку можно преобразовать в целое</summary>
+    </member>
+    <member name="M:ToInteger(System.String,System.Int32)">
+      <summary>Преобразует строку в целое
+При невозможности преобразования возвращается defaultvalue</summary>
+    </member>
+    <member name="M:ToReal(System.String,System.Double)">
+      <summary>Преобразует строку в вещественное
+При невозможности преобразования возвращается defaultvalue</summary>
+    </member>
+    <member name="M:ToWords(System.String,System.Char[])">
+      <summary>Преобразует строку в массив слов</summary>
+    </member>
+    <member name="M:ToWords(System.String,System.String)">
+      <summary>Преобразует строку в массив слов, используя в качестве разделителей символы из строки delims</summary>
+    </member>
+    <member name="M:ToIntegers(System.String)">
+      <summary>Преобразует строку в массив целых</summary>
+    </member>
+    <member name="M:ToIntegers(System.String,System.Int32)">
+      <summary>Считывает из строки массив из N целых</summary>
+    </member>
+    <member name="M:ToReals(System.String)">
+      <summary>Преобразует строку в массив вещественных</summary>
+    </member>
+    <member name="M:Inverse(System.String)">
+      <summary>Возвращает инверсию строки</summary>
+    </member>
+    <member name="M:RegexReplace(System.String,System.String,System.String,System.Text.RegularExpressions.RegexOptions)">
+      <summary>Заменяет в указанной строке все вхождения регулярного выражения указанной строкой замены и возвращает преобразованную строку</summary>
+    </member>
+    <member name="M:RegexReplace(System.String,System.String,System.Func{System.Text.RegularExpressions.Match,System.String},System.Text.RegularExpressions.RegexOptions)">
+      <summary>Заменяет в указанной строке все вхождения регулярного выражения указанным преобразованием замены и возвращает преобразованную строку</summary>
+    </member>
+    <member name="M:Matches(System.String,System.String,System.Text.RegularExpressions.RegexOptions)">
+      <summary>Ищет в указанной строке все вхождения регулярного выражения и возвращает их в виде последовательности элементов типа Match</summary>
+    </member>
+    <member name="M:MatchValue(System.String,System.String,System.Text.RegularExpressions.RegexOptions)">
+      <summary>Ищет в указанной строке первое вхождение регулярного выражения и возвращает его в виде строки</summary>
+    </member>
+    <member name="M:MatchValues(System.String,System.String,System.Text.RegularExpressions.RegexOptions)">
+      <summary>Ищет в указанной строке все вхождения регулярного выражения и возвращает их в виде последовательности строк</summary>
+    </member>
+    <member name="M:IsMatch(System.String,System.String,System.Text.RegularExpressions.RegexOptions)">
+      <summary>Удовлетворяет ли строка регулярному выражению</summary>
+    </member>
+    <member name="M:Remove(System.String,System.String[])">
+      <summary>Удаляет в строке все вхождения указанных строк</summary>
+    </member>
+    <member name="M:Right(System.String,System.Int32)">
+      <summary>Возвращает подстроку, полученную вырезанием из строки length самых правых символов</summary>
+    </member>
+    <member name="M:Left(System.String,System.Int32)">
+      <summary>Возвращает подстроку, полученную вырезанием из строки length самых левых символов</summary>
+    </member>
+    <member name="M:IndicesOf(System.String,System.String,System.Boolean)">
+      <summary>Возвращает последовательность индексов вхождений подстроки в основную строку 
+Параметр overlay определяет, разрешены ли перекрытия вхождений подстрок</summary>
+    </member>
+    <member name="M:CreateSliceFromStringInternal(System.String,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SliceStringImpl(System.String,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Slice(System.String,System.Int32,System.Int32)">
+      <summary>Возвращает срез строки от индекса from с шагом step</summary>
+    </member>
+    <member name="M:Slice(System.String,System.Int32,System.Int32,System.Int32)">
+      <summary>Возвращает срез строки от индекса from с шагом step длины не более count</summary>
+    </member>
+    <member name="M:SystemSliceStringImpl(System.String,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice(System.String,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice0(System.String,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice(System.String,System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSlice0(System.String,System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceStringImplQuestion(System.String,System.Int32,System.Int32,System.Int32,System.Int32,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceQuestion(System.String,System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:SystemSliceQuestion0(System.String,System.Int32,PABCSystem.SystemIndex,PABCSystem.SystemIndex,System.Int32)">
+      <summary>--</summary>
+    </member>
+    <member name="M:Compose``3(System.Func{``1,``2},System.Func{``0,``1})">
+      <summary>Суперпозиция функций</summary>
+    </member>
+    <member name="M:Conjugate(System.Numerics.Complex)">
+      <summary>Возвращает комплексно сопряженное значение</summary>
+    </member>
+    <member name="M:Get``2(System.Collections.Generic.IDictionary{``0,``1},``0)">
+      <summary>Возвращает в словаре значение, связанное с указанным ключом, а если такого ключа нет, то значение по умолчанию</summary>
+    </member>
+    <member name="M:EachCount``2(System.Collections.Generic.IEnumerable{System.Linq.IGrouping{``0,``1}})">
+      <summary>Возвращает словарь, сопоставляющий ключу группы количество элементов с данным ключом</summary>
+    </member>
+    <member name="M:EachCount``1(System.Collections.Generic.IEnumerable{``0})">
+      <summary>Возвращает частотный словарь объектов последовательности</summary>
+    </member>
+    <member name="M:Each``3(System.Collections.Generic.IEnumerable{System.Linq.IGrouping{``0,``1}},System.Func{System.Linq.IGrouping{``0,``1},``2})">
+      <summary>Возвращает словарь, сопоставляющий ключу группы результат групповой операции</summary>
+    </member>
+    <member name="M:Each``2(System.Collections.Generic.IEnumerable{``0},System.Func{``0,``1})">
+      <summary>Возвращает словарь, сопоставляющий элементам последовательности определённые значения</summary>
+    </member>
+    <member name="M:-=``2(System.Collections.Generic.IDictionary{``0,``1},``0)">
+      <summary>Операция удаления из словаря пары с указанным значением ключа</summary>
+    </member>
+    <member name="M:Add``3(System.Tuple{``0,``1},``2)">
+      <summary>Добавляет поле к кортежу</summary>
+    </member>
+    <member name="M:Add``4(System.Tuple{``0,``1,``2},``3)">
+      <summary>Добавляет поле к кортежу</summary>
+    </member>
+    <member name="M:Add``5(System.Tuple{``0,``1,``2,``3},``4)">
+      <summary>Добавляет поле к кортежу</summary>
+    </member>
+    <member name="M:Add``6(System.Tuple{``0,``1,``2,``3,``4},``5)">
+      <summary>Добавляет поле к кортежу</summary>
+    </member>
+    <member name="M:Add``7(System.Tuple{``0,``1,``2,``3,``4,``5},``6)">
+      <summary>Добавляет поле к кортежу</summary>
+    </member>
+    <member name="M:Print``2(System.Tuple{``0,``1})">
+      <summary>Выводит кортеж</summary>
+    </member>
+    <member name="M:Print``3(System.Tuple{``0,``1,``2})">
+      <summary>Выводит кортеж</summary>
+    </member>
+    <member name="M:Print``4(System.Tuple{``0,``1,``2,``3})">
+      <summary>Выводит кортеж</summary>
+    </member>
+    <member name="M:Print``5(System.Tuple{``0,``1,``2,``3,``4})">
+      <summary>Выводит кортеж</summary>
+    </member>
+    <member name="M:Print``6(System.Tuple{``0,``1,``2,``3,``4,``5})">
+      <summary>Выводит кортеж</summary>
+    </member>
+    <member name="M:Print``7(System.Tuple{``0,``1,``2,``3,``4,``5,``6})">
+      <summary>Выводит кортеж</summary>
+    </member>
+    <member name="M:Println``2(System.Tuple{``0,``1})">
+      <summary>Выводит кортеж и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println``3(System.Tuple{``0,``1,``2})">
+      <summary>Выводит кортеж и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println``4(System.Tuple{``0,``1,``2,``3})">
+      <summary>Выводит кортеж и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println``5(System.Tuple{``0,``1,``2,``3,``4})">
+      <summary>Выводит кортеж и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println``6(System.Tuple{``0,``1,``2,``3,``4,``5})">
+      <summary>Выводит кортеж и переходит на новую строку</summary>
+    </member>
+    <member name="M:Println``7(System.Tuple{``0,``1,``2,``3,``4,``5,``6})">
+      <summary>Выводит кортеж и переходит на новую строку</summary>
+    </member>
+    <member name="M:ToArray``1(System.Tuple{``0,``0})">
+      <summary>Преобразует кортеж элементов одного типа в массив</summary>
+    </member>
+    <member name="M:ToArray``1(System.Tuple{``0,``0,``0})">
+      <summary>Преобразует кортеж элементов одного типа в массив</summary>
+    </member>
+    <member name="M:ToArray``1(System.Tuple{``0,``0,``0,``0})">
+      <summary>Преобразует кортеж элементов одного типа в массив</summary>
+    </member>
+    <member name="M:ToArray``1(System.Tuple{``0,``0,``0,``0,``0})">
+      <summary>Преобразует кортеж элементов одного типа в массив</summary>
+    </member>
+    <member name="M:ToArray``1(System.Tuple{``0,``0,``0,``0,``0,``0})">
+      <summary>Преобразует кортеж элементов одного типа в массив</summary>
+    </member>
+    <member name="M:ToArray``1(System.Tuple{``0,``0,``0,``0,``0,``0,``0})">
+      <summary>Преобразует кортеж элементов одного типа в массив</summary>
+    </member>
+    <member name="M:*``3(System.Func{``1,``2},System.Func{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``3(System.Tuple{``0,``1},``2)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``4(System.Tuple{``0,``1,``2},``3)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``5(System.Tuple{``0,``1,``2,``3},``4)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``6(System.Tuple{``0,``1,``2,``3,``4},``5)">
+      <summary>--</summary>
+    </member>
+    <member name="M:+``7(System.Tuple{``0,``1,``2,``3,``4,``5},``6)">
+      <summary>--</summary>
+    </member>
+    <member name="M:InternalEqual``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:=``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;&gt;``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareToTup2``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;=``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&gt;``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&gt;=``2(System.Tuple{``0,``1},System.Tuple{``0,``1})">
+      <summary>--</summary>
+    </member>
+    <member name="M:InternalEqual``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:=``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;&gt;``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:CompareToTup3``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&lt;=``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&gt;``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:&gt;=``3(System.Tuple{``0,``1,``2},System.Tuple{``0,``1,``2})">
+      <summary>--</summary>
+    </member>
+    <member name="M:InternalEqual``4(System.Tuple{``0,``1,``2,``3},System.Tuple{``0,``1,``2,``3})">
+      <summary>--</summary>
+    </member>
+    <member name="M:=``4(System.Tuple{``0,``1,``2,``3},System.Tuple{``0,``1,``2,``3})">
+      <summary>--</summary>
+    </member>
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+</doc>
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