C#Top 36 C# Example Pages...

[["aBB3BaBB/BB3BBZBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB+BBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB(BBBBBBBBBBBBBBBBBBBBBbBBBBBdBBBBBBBBBBBBBBBXBBBBB3BBcBBBXBBBBBBXBBB+BBBBBaBBBBB/BBBBB.BBBBBBB.BBBBZBBB(B$BBBBBBBBcBBBBBBBBXBBBBBB(BBBBBBB.BB3BBBB/BBB+BBBBBXBBBBBBBBBBBBBBBBBB.BBBBBBBBBBBBdBBBBBBB.BBBBBBBBBBBBBB(BBBBBBBBBBBBBBBBB/BBBBBBBBBBBBBBBBBBBB.","","Collections."," From the shore you see grey clouds. The water is calm. The sky clears and an ancient ship appears. Like a movie combines pictures, a list or dictionary combines elements. ","1: List ","list","2: Dictionary ","dictionary","Objects."," See now the structure of things. Watching a silent film, we understand a scene through its set. We understand a C# type through its base class. ","3: Object ","object","Class, tuple."," It begins to rain. Now we synthesize. One raindrop falls to the ground. It combines with a small pool. Classes and tuples merge things together. ","4: Class ","class","5: Tuple ","tuple","Loops."," Remain perfectly still. To our senses, outer space stays in a fixed place. In silence the planets orbit. For motion in C#, invoke foreach upon an IEnumerable thing. ","6: Foreach ","foreach","7: IEnumerable ","ienumerable","Methods."," This painting shows an elaborate dragon. Suddenly you notice a small movement. The painting has entered motion\u2014the dragon is alive. ","8: Parameters ","parameter","9: Recursion ","recursion","C# keywords."," Collections are not everything. To glue parts of a program together we need keywords. This can get messy. But C# is elegant in most places. ","abstract ","abstract","as ","as","ascending ","ascending","async ","async","await ","async","base ","base","bool ","bool","break ","break","byte ","byte","case ","case","catch ","catch","char ","char","checked ","checked","class ","class","const ","const","continue ","continue","decimal ","decimal","default ","default","delegate ","delegate","descending ","descending","do ","do","double ","double","dynamic ","dynamic","else ","if","enum ","enum","equals ","join","event ","event","explicit ","explicit","extern ","extern","false ","true","finally ","finally","fixed ","fixed","float ","float","for ","for","foreach ","foreach","from ","linq","get ","property","goto ","goto","group ","group","if ","if","implicit ","implicit","in ","foreach","int ","int","interface ","interface","internal ","internal","is ","is","join ","join","let ","let","lock ","lock","long ","long","nameof ","typeof","namespace ","namespace","new ","new","null ","null","object ","object","operator ","operator","orderby ","orderby","out ","out","override ","override","params ","params","partial ","partial","private ","private","protected ","protected","public ","public","readonly ","readonly","ref ","ref","return ","return","sbyte ","byte","sealed ","sealed","select ","linq","set ","property","short ","short","sizeof ","sizeof","stackalloc ","stackalloc","static ","static","string ","string","struct ","struct","switch ","switch","this ","this","throw ","throw","true ","true","try ","try","typeof ","typeof","uint ","uint","ulong ","long","unchecked ","checked","unsafe ","unsafe","ushort ","ushort","using ","using","value ","value","var ","var","virtual ","virtual","void ","void","volatile ","volatile","when ","catch","where ","where","while ","while","yield ","yield","Classes."," A class is like a template. Instances of a class are instances of that template. Here are some top C# classes. Some classes like Math are mainly useful for their methods. ","Buffer ","buffer","Console ","console","DataRow ","datarow","DataSet ","dataset","DataTable ","datatable","DataView ","dataview","Debug ","debug-write","Directory ","directory","Environment ","environment","Exception ","exception","File ","file","FileInfo ","fileinfo","HttpClient ","httpclient","IComparable ","icomparable","IEnumerable ","ienumerable","IEqualityComparer ","iequalitycomparer","Object ","object","Path ","path","Process ","process","Random ","random","Regex ","regex","SqlClient ","sqlclient","SqlConnection ","sqlconnection","SqlParameter ","sqlparameter","Stopwatch ","stopwatch","StreamReader ","streamreader","StreamWriter ","streamwriter","String ","string","StringBuilder ","stringbuilder","StringReader ","stringreader","StringWriter ","stringwriter","System ","system","Task ","async","Thread ","thread","Timer ","timer","TimeSpan ","timespan","Type ","type","XElement ","xelement","XmlReader ","xmlreader","XmlWriter ","xmlwriter","Classes, rare collections."," Forget lists and dictionaries. Our ship carries rarer cargo. It has old things (like an ArrayList) and odd things\u2014these are rarely used. ","ArrayList ","arraylist","BitArray ","bitarray","ConcurrentBag ","concurrentbag","ConcurrentDictionary ","concurrentdictionary","DictionaryEntry ","dictionaryentry","HashSet ","hashset","Hashtable ","hashtable","HybridDictionary ","hybriddictionary","KeyValuePair ","keyvaluepair","Lazy ","lazy","LinkedList ","linkedlist","ListDictionary ","listdictionary","NameValueCollection ","namevaluecollection","Queue ","queue","ReadOnlyCollection ","readonlycollection","SortedDictionary ","sorteddictionary","SortedList ","sortedlist","SortedSet ","sortedset","Stack ","stack","StringDictionary ","stringdictionary","Tuple ","tuple","Classes, concepts."," Most things in C# involve objects. A string is an object. With a class, we create a type that when instantiated becomes an object. ","Class ","class","Class: Constructor ","constructor","Class: Inheritance ","inheritance","Class: Nested ","nested-class","Class: Variable Initializer ","variable-initializer","Classes, convert."," It is fine to use an array or a list. But when we need to convert to a dictionary of int lists, we have a small problem. We must convert our data. ","Convert ","cast","Convert: Array, String ","convert-char-array-string","Convert: ArrayList, Array ","convert-arraylist-array","Convert: ArrayList, List ","convert-arraylist-list","Convert: Bool, Int ","convert-bool-int","Convert: Char, String ","convert-char-string","Convert: Dictionary, List ","convert-dictionary-list","Convert: Dictionary, String ","convert-dictionary-string","Convert: List, Array ","convert-list-array","Convert: List, DataTable ","convert-list-datatable","Convert: List, String ","convert-list-string","Convert: String, Byte Array ","convert-string-byte-array","Convert: String Array, String ","convert-string-array-string","Convert: TimeSpan, Long ","convert-timespan-long","Convert: Value, Int ","cast-int","Attributes."," With an attribute we attach information to a C# type. This can be used by another program (like the C# compiler) to affect how code is processed. ","Attribute ","attribute","[Conditional] ","conditional","[DllImport] ","dllimport","[Flags] ","enum-flags","[Obsolete] ","obsolete","Generics."," Many of the most powerful (and fastest) collections are found in System.Collections.Generic. These are generic types. The syntax is strange yet powerful. ","Generic: Classes ","generic","Generic: Methods ","generic-method","Design patterns."," Imagine a factory. It makes widgets or shoes or something. We just expect the finished product from the factory\u2014it does the rest. ","Pattern: Factory ","factory","Pattern: Protection Proxy ","protection-proxy","Pattern: Tester-Doer ","tester-doer","Directives."," These can turn a program into a nasty, smelly mess. But #define and #if and #region often have utility in complex programs. ","#define, #undef ","define-undef","#error ","error","#if, #elif, #endif ","if-elif-endif","#line ","line","#pragma ","pragma","#region ","region","Methods, numeric."," With methods we express algorithms. It helps to get started by implementing a Fibonacci method. This can be done in many ways. ","Method: Compound Interest ","compound-interest","Method: Fibonacci ","fibonacci","Method: Swap ","swap","Methods, strings."," Some methods act on strings. For example the Levenshtein Distance algorithm computes how similar two strings are. ","String: Boyer-Moore ","boyer-moore","String: Count Occurrences ","string-occurrence","String: Duplicate Words ","duplicate-words","String: Explode ","explode","String: Levenshtein ","levenshtein","Methods, puzzles."," A computer can try to solve any puzzle. I tried to solve the Mu puzzle and no amount of optimizations could make it happen. ","Puzzle: Anagram ","anagram","Puzzle: Constraint Solver ","constraint","Puzzle: Monty Hall ","monty-hall-problem","Puzzle: Mu ","mu","Puzzle: Palindrome ","palindrome","Methods, parameters."," A method can accept any number of parameters. With overloads, we can have a method with the same name that acts differently based on its arguments. ","Parameters ","parameter","Parameters: Multiple Return Values ","multiple-return-values","Parameters: Named ","named-parameters","Parameters: Optional ","optional-parameters","Parameters: Overloading ","overload","Methods, algorithms."," With recursion we can evaluate all possibilities. For some puzzles, we can exhaustively search the problem space. ","Algorithm: Count Change ","change","Algorithm: Inverted Index ","inverted-index","Algorithm: Maze ","maze","Algorithm: Recursion ","recursion","Algorithm: Spell Check ","spell-checker","Algorithm: Tree ","tree","Algorithm: Word Search ","word-search","Methods, locals."," With variables we specify what a method does. Locals change state. They introduce complexity because the program's state depends on time. ","Locals: Benchmark ","assign","Locals: Definite Assignment ","definite-assignment-analysis","Locals: Max Allowed ","locals-allowed","Locals: Multiple Declarations ","multiple-local-variable","Methods, ciphers."," In a cipher we obscure the characters in text. Simple ciphers like ROT13 can be broken easily. But they are still interesting. ","Cipher: Atbash ","atbash","Cipher: Caesar ","caesar","Cipher: ROT13 ","rot13","Intermediate language."," This is a tedious page. It describes the IL that C# programs are transformed into. This is helpful for advanced developers. ","IL ","il","Threads."," A C# program by default is single-threaded. With System.Threading, we add threads. We start and join them. This adds complexity. ","Thread ","thread","Thread: Interlocked ","interlocked","Thread: Join ","thread-join","Thread: Mutex ","mutex","Thread: Sleep ","sleep","Thread: SpinWait ","spinwait","Thread: Start ","threadstart","Thread: ThreadPool ","threadpool","Reflection."," Metadata is a relational database. It contains many types. With reflection our program can inspect and act upon them. ","Reflection ","reflection","Reflection: Assembly ","assembly","Reflection: FieldInfo ","reflection-field","Reflection: GetMethod ","getmethod","Reflection: GetType ","gettype","Reflection: MethodInfo ","methodinfo-invoke","Reflection: PropertyInfo ","reflection-property","Reflection: SetValue ","setvalue","Drawing."," The tools in System.Drawing are not powerful. We cannot create a great painting. But we can draw shapes and colors and text. ","Drawing: Color ","color","Drawing: Font ","font","Drawing: GetThumbnailImage ","getthumbnailimage","Drawing: Image ","image","Drawing: Point ","point","Drawing: Size ","size","Compression."," The .NET Framework supports compression algorithms, like GZIP, in the System.IO.Compression namespace. GZipStream handles byte arrays. ","Compression: 7-Zip Command Line ","7-zip-examples","Compression: CompressionLevel ","compressionlevel","Compression: GZipStream ","gzipstream","Compression: GZipStream Compress ","compress","Compression: GZipStream Decompress ","decompress","Compression: GZIP Files and Bytes ","gzip","Compression: ZipFile ","zipfile","Memory."," The .NET Framework provides a garbage-collected heap. But there are still observable benefits of optimizing memory usage. ","GC: Collect ","gc-collect","GC: WeakReference ","weakreference","Object."," Consider a type hierarchy. Each type inherits from another type. At the top of the tree in the .NET Framework we find the Object type. ","Object ","object","Object: Clone ","clone","Object: ReferenceEquals ","object-referenceequals","Object: Unboxing ","unboxing","Network."," We access networking functionality in System.Net. The classes include System.Dns, which resolves DNS addresses. We also access the System.WebClient class. ","Net: DNS ","dns","Net: HttpClient ","httpclient","Net: WebClient ","webclient","Tools."," As developers, we build upon the works of many others. Every program involves, indirectly, many millions of lines of code. Many tools are useful. ","Tools: FxCop ","fxcop","Tools: IL Disassembler ","il-disassembler","Tools: Process Explorer ","process-explorer","Tools: Visual Studio ","vs","Tools: Visual Studio Debugger ","debugging","Numbers."," We can add, subtract, multiply and divide numbers. In C# we increment and decrement a number even in simple loops. We can cast numbers. ","Numbers: BitConverter ","bitconverter","Numbers: Cast ","numeric-casts","Numbers: Count Digits ","integer-digit-count","Numbers: Decrement ","decrement","Numbers: Divide ","divide","Numbers: English Words ","number-words","Numbers: Increment ","increment","Numbers: int.MaxValue ","int-maxvalue","Numbers: Int16, 32, 64 ","int16-int32-int64","Numbers: Multiply ","multiply","Numbers: Numeric Promotion ","numeric-promotion","Numbers: Odd ","odd","Numbers: Percentage ","percentage","Numbers: Preincrement ","preincrement","Numbers: Prime ","prime","Numbers: Reciprocal ","reciprocal","Numbers: Single, Double ","single-double","Numbers: Suffix ","suffix","Numbers, bits."," In computers, bits represent numbers at a low level. We can use a single bit to mean yes or no. We can apply masks to bit patterns. ","Bits: And ","and","Bits: BitVector32 ","bitvector32","Bits: Complement ","complement","Bits: Count ","bitcount","Bits: Divide, Powers of Two ","divide-powers-two","Bits: Increment ","integer-increment-binary","Bits: Or ","or","Bits: Representation ","binary-representation","Bits: Set Bit to Zero ","set-bit-zero","Bits: Shift ","shift","Bits: Trailing ","trailing-bits","Bits: XOR ","xor","Number, convert."," It is not possible to convert 1 day into 1 month. That makes no sense. But we can convert 1 day into a fractional month\u2014we just change the units. ","Convert: Bytes, Megabytes ","convert-bytes-megabytes","Convert: Celsius, Fahrenheit ","convert-degrees","Convert: Days, Months ","convert-days-months","Convert: Feet, Inches ","feet-inches","Convert: Miles, Kilometers ","convert-miles-kilometers","Convert: Milliseconds, Seconds ","convert-milliseconds-seconds-minutes","Convert: Nanoseconds, Seconds ","convert-nanoseconds","Math."," Rarely do we need to implement mathematical methods. Instead we use built-in methods from the Math class. Things like Math.Max can help with loop bounds. ","Math ","math","Math.Abs ","math-abs","Math.Ceiling ","math-ceiling","Math.Cos, Sin, Tan ","cos-sin-tan","Math.E ","math-e","Math.Floor ","math-floor","Math.Log, Log10 ","log","Math.Max ","math-max","Math.Min ","math-min","Math.PI ","pi","Math.Pow ","math-pow","Math.Round ","math-round","Math.Sqrt ","sqrt","Math.Truncate ","math-truncate","Exception types."," Suddenly your program has failed. It tells you it has an exception. But this can be fixed with some attention\u2014here are common exceptions. ","ArgumentException ","argumentexception","ArrayTypeMismatchException ","arraytypemismatchexception","DirectoryNotFoundException ","ioexception","DivideByZeroException ","dividebyzeroexception","FileNotFoundException ","filenotfoundexception","FormatException ","format","IndexOutOfRangeException ","indexoutofrangeexception","InvalidCastException ","invalidcastexception","InvalidOperationException ","invalidoperationexception","IOException ","ioexception","KeyNotFoundException ","keynotfoundexception","NotImplementedException ","notimplementedexception","NullReferenceException ","nullreferenceexception","OutOfMemoryException ","outofmemoryexception","OverflowException ","overflowexception","StackOverflowException ","stackoverflowexception","TypeInitializationException ","typeinitializationexception","Syntax hints."," A question mark can mean a ternary statement, or a nullable type. A period can mean a member access or a floating-point number. ","[A] (Attribute) ","attribute","// ... (Comment) ","comment","/* ... */ (Comment) ","comment","~C (Destructor) ","destructor","# (Directive) ","directive","{0} (Format) ","format","<T> (Generic) ","generic","{[0] = 1} (Indexer initializer) ","indexer",": (Inheritance) ","inheritance","=> (Lambda) ","lambda","% (Modulo) ","modulo","? (Nullable) ","nullable-int","?? (Null coalescing) ","null-coalescing","?. (Null conditional) ","null-coalescing","D (Numeric suffix) ","suffix","$\"{x}\" (String interpolation) ","string-interpolation","? (Ternary) ","ternary","* (Unsafe) ","unsafe","(1, \"x\") (ValueTuple) ","tuple","@ (Verbatim literal) ","string-literal","Many parts."," The .NET Framework has many parts. It has collections, classes, keywords and all sorts of fancy syntax. The universe is vast. But a .NET developer like you is sure to succeed. "],"url(data:image/jpeg;base64,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)","url(data:image/jpeg;base64,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)","url(data:image/jpeg;base64,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)"]

["url(data:image/jpeg;base64,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)","url(data:image/jpeg;base64,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)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIwAAAB4CAAAAAAFqEXtAAAAoElEQVR4Ae3ZsQ3DIBBAUfbfwxNcfR0dEpInIiOEI7Li4v0JXv9bnLS+dp3UIke13MFErxZXi7mqzR1MX9U6DAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDMyPmLyr5Q4mRrW43vUo14uCgYGBgflDMDBx0mOYvKvlc5i5qk0YGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYmHdiclTL5zAnfQArQiNkrpqF2AAAAABJRU5ErkJggg==)","url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAG4AAACCAgMAAADasxWRAAAADFBMVEX/2en///+VlZX29vY4hdadAAAASElEQVR4AWPACZj/f0DmjkqOSjKtQgcLyJccZiEE9SOmP8mXHEaBMBoIo4EwGggryJccvvVKKAogTnJUclRyVHLklgmjkqOSAALWyrsxEHLDAAAAAElFTkSuQmCC)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/jpeg;base64,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)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMkAAABACAAAAACVEgzJAAAAkklEQVR4Xu3YOwrAIBAEUO8PucjexhOZysVGQtgiH96UUwy8Stk2ZnqbGUuy7OMylan61uclJCQkJCQkJCQkJCQxc6QklmR5ZLUFVKbqW+1+tpLKVH3rUQkJCQkJSZ+JtcpkGVltJZWp+pZ/FwkJCQkJCQmJ24rbygMSEhISEpLfvIz+XW+RkJCQkJCQkJCQkJCcKq7/sEUc4H8AAAAASUVORK5CYII=)","url(data:image/png;base64,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)","G","url(data:image/jpeg;base64,/9j/2wCEAAgGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycBCQgICQoJCwkJCw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ//BABEIAHoA+gMAIgABEQECEQH/xABkAAABBQEBAAAAAAAAAAAAAAAAAQIDBAUGBxAAAQMCAgQFDwkHBAMBAAAAAAECAwQRBRIGEyExFCIyQVEHFSUzNFJTYXFykaGxs8EjJEJic5Ky0eEWNUNUgYLCRGO08DZ0g6L/2gAMAwAAAQACAAA/APfwAQAFPPOrLLJDog18b3MdwuLkqveSHoR511af/Dm/+5F+CUa7khznjkuIV1NQU1Zrpdbq43N4y8pdx0GieDPx/wCUxPE5qHXOdqImdukc3tjssi2yt9pdwvqc4xjtDTtzpQULWxaupmT5RzNm2OPeq23KtkPRKPRDA8PlpckKyVVMzNDUSvXNxUy5st7bedbc5UJXOanoPGse0d0gwbSKooYuF1tLlbJS1cLJHNkjc36uzM3c5Dt3UjtHcDw6LEKuR1bqGayBqK7Jm77bfZz7DvXYpBC90edIsltYyNFMXEqbDMQn4bNErfoa+J7sq/2jn8ZuXYMZyv0OUlmqMqOjkc5rk4rsyqip03Om6nc88uLVbZc3c/0lXfnb0nO12GJhE68GkXgkqZtXbiI6/N3q+TedH1PJM+KVf2H+bSKFFSS1ucsPsrFVOg9GFGgX7lS44BooXC4oGdjOO4Po9QvxHGqyOipWfxJXf/ljeU53iaiqUKHGn6V6MVGI4IyoopKqGdmHvq4tU/NxmQzta5eQ7Y9viALmvHiNBNWS4fFVRSVsDUkmpWvbrWMcuVrns5VlPJdJdN8PxjAtKNE9L5eseO0dRqKCGl1r5Js3HopYGx8eRH7M6JzLtNfqJxYL+y+up6VsWkEU0tNpBLJxqp1S2RzvlpHcfyc2/nuXNMNGq6q0h0f060TiiqsRopmU9bHnbkqKCVVa92e+XNFmVWr7bWUAudTHS2bSrRxnXJroccwx3A8Xp5UVkmtYnFkcx2W2sbt3cq6cx2hh0miuF0Wk1dpVS6yOuxGCOnq4muRIX6tbpK5iJtktZLqu5PGt9wUUAAAAAAAAAAAAAAAAAAAAAAAAQAG3EVRFAw9JcEp8fpqSlrO5oaqOplj7/Vo+zPTa5sOK1U/5P+pE5dig26qVJ21L5o5IKlYY40XWQatjmv8A7nJdtvEeaVb8T/btnDqqTgtX9JrlY1sbVzRRpl3Ii7VTn5z0nWplXyKc3ilLQy4hSSVPbLqyn2rfdxtxEpMxPZ0GrVYfDweWTKmfvrJt/Q880hqKvC8Rw2GmncyCaWPWU7eTlY9OOvj5vId7imNw4c9mHzxOfK9GZMn8TNZvE8i7zj6+kbVY2+TY/Urq/EmVeYFSwrW/mX9MX0kzIJ6GobJmcuugZzbOLJ8B/U4cvXSr2f6f/NpiV6prXNub+gSp1yqfsP8ANoxrvlP6kqx2hVPEejZgzEOYw9KdKabRLD48UrqWoqKLXMiqZqdqP4Ox69vl2o7In1UUslPKb81RDTQSVNTI2GCFqySyyKjWsY1MznOdutZNpzmk+lFXh+iMmlOjUEWLRxsjqsuZePS3RZZI+lWsuv8A2y8VjWmWNYJprVPrZExTQqsw+Cr1MLM2ro5fkZaqLV9tSN/bN65HIvMavUnqoYcNxXQ7WtqmYFVOZSSZkk1uH1iLU0snjRzXr4rC7to2xvVWA6HdUXDqLG6ykZXRVNG9lHO++aOOpRM2XvZG5di2u1b2MjqY4rW0PD+p7jsivxXR12Wlmd/qKB3c8rfNbxfFs5ybQTR7GNEcUxvA8iO0WdKlZgk2dM0WuvrqXJe+Vi7tnj2q5bdimH0HD+uvBouuGq4PwzI3W6rNn1eflZczr2FuLexyWN9SvA8YxqbG4a2vwuWtRG4rDh1QsEVW1vhtnPz23+XadhhmG0ODUFPheGQtp6KlYkcELb2a3/u9ecsijkFQUAAUUAAAAAAAAAAAAAAAAAAAAAAAAQY4eRuGOGqROKOIOXUp5yfEuvM7EmyPgRsaK7jJ6NpG7nJI03FNz0scxj087JmcZHZk1cbbcn6T335sqek6GaGo4uSNfQZVdS1syp83fyXpydqKqWQicWmIcXNjuJVdTDWXXXRNWJjr2unfKm5F6bGhgr5Khflb6zNme7nW995D1kxZ0it4DNk5nKxdu2xu4XhdbTxr83ka6/0mqgtlUkcjbc3QYeJIraqdv1lNnQFH9c6rN4HZ99pVxTB8Umq36mlkyd/lVeY09D6Cvo66eSqgkjY6LLme1W3XMgjW2f8A1FfZY9/MYHVGr3N0ro8P0pTEP2Mko3PbDhiP+c1eZWuhqnQqj1bk+iipzHXaM6Y6OaYsrcDhpKimkpYkZU4ZicOrkdA9MmbJmkzM5tq327d50E8tS2mm4GjHVWR2obLfVrJbi51bty332OX0a0XxOlxqp0t0nrIqzH6qBtI1lIxY6anp7pIsUWbjP4/0nbSwUcinLxaE6UYDpbg1Jg8TK7Rmhmllp6ipkTNTUVU1Y6zD5eU6VnJdFsXanlO30a0HwHROsra3CUm1tbxcskrnsihvmZBEzdkau7nN7OLdRBdWWMxK0rNJmgMchOPI2j0HNGIOAAHjgAAAAAAAAAAAAAAAAAAAAAAABCNxIu4jcMcNUgeQPLDyB4wkYQOGDpnsjYskio1jdubxFXhtJ4ZoFlrXKl7KvkQsAV+G0vhmhwyl8M0UXI/vXegsCkHDKTwzSaJ8czEkicj2XVM3Ndqq32gRuRzUu5qonSqDhRUHZQsMzoNHtFyj8oArhWkzRjWiySxU8azTuRkbVTjc13KjfaoEa3Vbb1XYiITtHlLrph/8wz0juumH/wAyz0jgSKTvHehS4BT66Yf/ADLPSJ10w/8AmWekcLq5O8d6C6BDDPFURpNC9Hxuvxk3KrVVq+tCQLka3RVullTeijhRtxRRbigAAKAEc88NNEs070ZHdEzc13KjU9alfrrh38yz0iXQcjHqmxqqniQuAU+uuHfzLPSK3E6By8WoZ6QugauTvHehS0KVeH0fh2+ksMe2RjZGLdrkRzbc6LtRRbiZXdCiruGOHkbhjhikLyB5O9Su8aSMKWIdyTeaYjnG1iLvmU7vqqc8+fbyfWIalG27P7vghLmUXMVuEfV9YcI+r6wLerLjXGxhifMY/Pl94859lRt5Pr/Q6DCX5sOhdb6c/vnit2uQz8SuynzLs47fYpdyjsombxD0JFaYqTJ0i5R+UB6DFQkSS4uUp4wnY6TzoveMLxQx1+rwuV1vpw+9YJYmp9s0Xnt9pgueM1ilaSq28j1/oM4X9T1/oIbiROLusUex5n8L+p6/0JI6rbyPX+gAsTjqsJXsdF50vvXl4zMHl7GQut9Kb3zy9nJUTYnkOeqXolRK1d6Pd7ScdcizD8wCNcg8UYGYLj8yFHHP3bJ9pD75hzrnm7j8uTCpXW/iQe+jOWkqtvI9f6DHGpQtV0OxL8d3saWtYpJBIudfIZ3C/qev9CamquOvE5unxp4hpadE7KazXHQUnckH2bPwnLMqNvJ9Z1FEuaip/smfhQezeZ1U1bJs5yVSJykjiJwjikRPUgepK8gcNJmFLE+4Z/MU5p+86TEu4ajzFObeBrUPI/u+CDAAALpJHvOjwf8AdUH2lR7+Q5yBsksqQwM1kuVX5Lo3itVONdy9LkT/ALs6HC7twuBrkyu1lTmbsuipUSXTnQWJzVlyI5FciXVt+Mnj/qZGOutRKt0vrGbOf6RoISFfMPzllWnKMl2llB+YrZx+cjchcidcs5jOx9exU3nw++YWtYZ+Nu7FzedD71hGX6TuiH7Rpy8m8jJJN5GNOmbuAki3oRktPHNPIsVNGssjURz23RqNbt53LbjLdE6fIi2RzmtRXOVGom1VVbInlVRHWRFVVRETnXYh02D/ALrp/On9/IX8xl4W/sZT7F5U/FtZUVJ5LoqdKKXWyFpjeInkOJxCW1dUJ0SO9pba4kzFRrx+sG5RGTFjOMWQgdKQumEyj9cRY8/sTN9pT+/jOWk3nQYtJnwyfz4PfsOek3kT04x0WD9y3/3Hexowmpe2L5PiQk1N2xfJ8UENJ/JUvx7zraDuGl+yj/ChycDJZXqyBmscxEc/amxNtuUqb8q2Orw9UdQUtvAx/hQcxUzKiKiqlrpfal9105rmTW8lPL8CdxE8mUicgOM4rvIHFh6EDhCZqlDEu4ajzFObfvOkxNPmNR5inNyCKatD2v8AuX2IMAAAvD4lkZIksEiwzWVutajb5diq2z2uaqLs3ob2Hu7FU21e2VK7VuqrwiTaqqYUW82KR3Yqk8+p/wCRISU7UWZFsl1RUVbbVROZV8RhaSOy4a93RJHt9Jc1g/WFLWDtYX1YcPHPtL2sHawpJIPzkD2mrTy3sXNYUsWf2Om86L3rB+crYg75hN5YvesIHt4prUbvnEKfXaYkhGPeMIjqU3ASwPmik1lPK6GS2XO1G8m98vyjXt9XxIiSLegioioqORFRd6Kl0XyoojrWVFRFToXahuULsuG0yeOfnVVVVnkvdd6qWWyFCnd2PpPLP7+Qla80YWXiaviPNsXmtilW3olcX2yDlkKbXiq8MhHHOTOlIHykb3kD3iZCdJha1/Y+o8+D3zDIfvNGd3zCo86D3zDOfvKk3bDscC7hav8AuP8AgMJqbti+T4oQk1N2xfJ8SM1X8lS/C6SN+eGR0TnImfLbjNTdyk8exd6HW4eiJQUtkt8jGiJ/ahyUe9DraDuGl+yj/Cg5iJdVsl13rzrbdcya3kp5SdSNxKu4Y4VxnKV3ELmllxE5EGj2qZmKdwVHmKc49h1OINa6ina5qbWLvS6GNwen8Ez7qfkBp0UiNjXfyl9iGZqlDVL0GqlNT+BZ91PyHJTU3gWfdT8hC1wjymYyPaaMH7rpPPqv+RIPSlpvAx/dT8h+rYzD6VrGo1qPqeZETt7yel7c3+ph6SyI/C5N99ZGvrUr5lFzBlb4gsnQaS2PP2ZiRriTMRtROgksnQQPRDXpnLsFIaxfmM/li96wmsg2VjH0szXNR11ivdLp21hXkTiONmgevC4L+EaY72DNUvQaqU1P4Fn3U/IVKam8Cz7qfkVbHWcIROkytUvQSRxrc0+C03gWfdT8heC0vgI/uNFsItQnQpDH3BSf/f38g5pK6ONlLStY1GtTXcyIm2Z6jWonQhpwL8izyHmmMp2Vq/tVHNHKLZOgdbZuFVSONFIH3K7y09E6CFyJ0IIhNtIZO4KnzoPfMKbmGnkY6jqGuam10G9Lp21onB6fwTPup+RRqO2+g7XAZcuHs89/wMvVKTU0a518nxQvpTU/gWfdT8iaGmp83ambu9T8iE031CZecgYw6qg7hpfso/woYnB4PBM+6hu0aI2kp0tZEjYiInmoPaZ9U/M3+p//2Q==)","url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAL4AAAB/CAAAAAB0qydQAAADaUlEQVR4Xu3aPY6jMBiA4b2YSw7AHbiCr+BuWqppOQC1W2o6KjoqChMhK0JW/Lewwy6bITNjQhI+S34L6qdAnw32L+t1HvGNVvIihBjOnPcnxrgAzTdaX3HXnUc+JK5acb/vcjB/8g7DxO3YHfFD+aJj++qO5Au2uwP5knnN537zO7/5LPADP/ADP/ADP/Cf/1Wi5JiXfCOnfOVr6TPfSK/52m++8oMf+A1NCRojJK+849cELVHf+HWMPOa3MfKZT5HX/MRrfoOu82zyVGgOl9VU6xe/QHONl8sWRXPsQH7gN37zE0pTkiDq3+Txf+6HVTfsefbvODPv9vsYLZECOn9dkZEYxSSlZRs+1V/LD/zAD/zAN0YruVx76vgFNN9c3dnr2LoBKN8IfmIOXUDy9Ym5xSHyjauedRD5gjkHkd8/mG/kwNumKmn+/oaTOIpw+Uw+28tXgrOmLos8eyMjF61LAfJ5kaUEJzFyqITG1+9oQxgan6AtRY/kd/v5FdrWI/l8Px8fyJf7+dFxfGH389FR/E7YI/n9feie82EQ4qKs/ZFfU0oIyYpn8IUb99TzD/BIllOL94pvzGdjGqO57Al8yR24q9Z8o+Y+G9FS/QS+FP1f7vk214WvlQOfPoO/bjtfq6/5CckojSHzjfqazxqakQRB5utv+MV9L0+c5nle0KP5DfqJb8bWQMKmqqP5dALgltyanEarqREAmx/jmwfcMwAyv5wB9/IxIUfy23gPv22nR/5wvnLlszqdxkhR54SW2/hL6aP52pm/bju/fTBf25fyGX4kX2n7In47n2hmu/lKaa2NMXbqVfxqXupyB74b98X83IG/cNdekHzlwAXBr29Ozr3iAyaPv/waec0nEPm9I79NEUT++Ts+rqqqYaypiixGEPmny4rv0LP5vateSIh84WTnQkuQfMXZuuU32EXpj5XSAOUr0f/jDmIES/Vff+iQ+evg8AM/8CO/+dhvfgWMH23SYwOMj7foU22B8SsXdpRgkmZFby00vkxvcePR+57RoqwbxoWxcwfytb3Nl2USoYmbZvnEbftByOsA8LVd8R2CwtcWJN98a54zxliYfGv0De6cXQLKnzRfc+HzHQv87QV+4CvrNV97zVcWFt+qbWeZ0Ph60+kgOL5VrlyYfGv0zD223xRtmukE6q2rAAAAAElFTkSuQmCC)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","H","url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGQAAADSCAMAAACLr5UOAAAAwFBMVEX////2e1b2pVZW9ntWwvb2fln//v7+8er//fz3gmD3i2r4lXj81sv95dj+9vL/+/lZ9n5bxPb96+P2p1n5oodlyPd2zfj6rJX6t6T7ybn+//7+//9g94Jq94t4+JX3rGT3sm74un75xJGK1fn60Ke1+8ag3fq15PvL/Nbn/uzn9v7x/vXx+v7/+fX5//r5/f/8//38/v////72qV2H+aKV+qyk+rf7wK772rn84sjI6/za/ePa8v3//v3R7v3//frRTFVnAAABYklEQVR4XuzQuQ0AIAwEQb7+aya9ABIIENJsAR6dW1nWonLd+QnIfRAIpEc/LoFAIDX6bwkEAoFAIBAIpEbetQkCgUAgEMiIniyBQCAQCAQCgUAgEAgEAoFAIBAIBAKBQCAQCAQCgUAgEAhktm/HKggDMRyHY1REsIMorvUBHFx8/9ndJ+goooN0cCmO9xsOwvXSk2K/Mch/SEIshS4glLcQqhWIgbkq2Sr408EfwXvwhg04DP4BKXFj+e637281I67kCs9gapcDXYMYDmAdSOaWadccPAfPXJVsjEtaYQWPFS5AaxDDC6xJ1aANhLg9SC8NlGnXG+ItsPZoB6HK3F8+SNzA4e/X3n2rMR0knfolSDaNx7UQqk+wqswtM/gWxFELKlErQG/BqpIyThwxVyWqhsGucAPWWWE16QrTYFf4DJJNPxDKV+i3XcxFmS4wlifIDqx23cGqdqASdYLp3UrwBStFJxhGc/zOAAAAAElFTkSuQmCC)","url(data:image/jpeg;base64,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)","url(data:image/png;base64,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)","H","url(data:image/png;base64,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)","B","url(data:image/png;base64,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)","GNSJ","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)"]