["..E$ ","A$abbBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBBB(BBBBBBBBBBBBBBBBBBBBBBBBB.BBBBBdBBBBBBBBBBBBBBBXBBBBB3BBcBBBXBBBBBBXBBB+BBBBBaBBBBB/BBBBB.BBBBBBB.BBBBZBBB(B$BBBBBBBBcBBBBBBBBXBBBBBB(BBBBBBB.BB3BBBB/BBB+BBBXBBBBBBBBBBBBBBBBB.BBBBBBBBBBBBdBBBBBBB.BBBBBBBBBBBBBB(BBBBBBBBBBBBBBBBBB.","Collections."," Through the grey mist an ancient ship appears. It carries cargo of the rarest sort. It has gold coins, diamonds and rubies. The air cools and it begins to rain.","This page"," has links to collections. A list of links has its place. But to find things, it is usually easier to search. There are so many treasures, they are hard to find.","Classes."," A class is a template. Instances of a class are instances of that template. So many things can be created with classes. Here are some top classes. ","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","Collections."," Think of a treasure chest. In it we find many gold coins (if we are lucky). The chest is a collection of another kind of thing\u2014it is a container. ","ArrayList ","arraylist","BitArray ","bitarray","ConcurrentBag ","concurrentbag","ConcurrentDictionary ","concurrentdictionary","ConcurrentQueue ","concurrentqueue","ConcurrentStack ","concurrentqueue","Dictionary ","dictionary","DictionaryEntry ","dictionaryentry","HashSet ","hashset","Hashtable ","hashtable","HybridDictionary ","hybriddictionary","KeyValuePair ","keyvaluepair","Lazy ","lazy","LinkedList ","linkedlist","List ","list","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: IL Disassembler ","il-disassembler","Tools: Visual Studio ","visual-studio","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: BigInteger ","biginteger","Numbers: BitConverter ","bitconverter","Numbers: Cast ","numeric-casts","Numbers: Count Digits ","integer-digit-count","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: 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","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 ","io","DivideByZeroException ","dividebyzeroexception","FileNotFoundException ","filenotfoundexception","FormatException ","format","IndexOutOfRangeException ","indexoutofrangeexception","InsufficientMemoryException ","memoryfailpoint","InvalidCastException ","invalidcastexception","InvalidOperationException ","invalidoperationexception","IOException ","io","KeyNotFoundException ","keynotfoundexception","NotImplementedException ","notimplementedexception","NullReferenceException ","nullreferenceexception","OutOfMemoryException ","outofmemoryexception","OverflowException ","overflowexception","StackOverflowException ","stackoverflowexception","TypeInitializationException ","typeinitializationexception","Many parts."," The .NET Framework has many parts. It has collections, classes, keywords and all sorts of syntax. The universe is vast. But a .NET developer like you is sure to succeed."]

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: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@MUqe40beomlwse2sz7NetAzLEqbiaZRwAl44PgJvRMwV2Lk82V938LZyGzh7D8z+FRyeSIUQrbBLOBLr8I+TDoft/wUuwu5R5H019AcBvrGAfP8GtSXSJ+jgtZRCAzwX21c81cKF0/BankKpHmYhv4zPIg7hTB4WIwYhSSTT@dZsfRLZWVxijpMx1mPkwrT0xhkP06FkqpX/cceXyuGAZnDa6YoM7gYGpozuDVGvwXvyE/ABLi5xaps5jLTAGrYwDklORlg2OUulbDLivtVJFqNDXcA7+FEx2LADr/5v5J1rvZiBUSYcLCK1l5lcMT4lTdwRNlTnSIovsDqnIyrbhyTy6fscNX3H4IDzgMih7mq6GUHlyW9hvob8EYQkYjfwftU92IBDlxfYT2vob6DdxXZDL6VFhx38PY7uHVuVCfL0NkONYIde/60gdsPwU/Enr0BeNjB12XJ4GqSMqn8JNSxbQK4ALehFV42lQFv8kgGdyEE9QquEKFhwf40GVzEHicOGJx00Ld7fAhhTKMrRvx7yH8Ad0slhr05hjnkt4vr63zzXtkOoRbwOOtxB0eob+Ark24pg2O6ISw+ylfwbgmyAzhcLntg/zQfr8ni0hIT2XGbn4bUDXD0kZ8AxcPGlCoGIDcNJXC2fbo9cSSX;GvuxJvtyW4iaw8MJfQrvm6ei+7yoLWM+s0vFBtBbPTdoM8AhKHOqHP66JvGbOQA0+VpoJrsaZnT+Xm8efK4XyIobEp1A3AVVjCOMqt5gzgPwl1iOV2xpGvau+R/dap0FbypttnkdoakCWhwg/At2VnbRy9krmZtWRW2V8ANzhnU7ezwhls4WZG7hP1myGoo5FflzFVU23SrKvUhvdPjPJJ/a4@X823HcA/D0BIv2OwTUx+c8spRrB3wa+DPJO1bMe3xUs4z2DFz1Mn6+mfyQpf1PwB/gD/AHehTDtZa234iu0w9hDIj+umh9D1rkdDbvi5MNHlXYwgkN+CtD64TeB57Jx1rkwoKjM3lcRkXvNSoulHX8gkaWAzusziXM7pOT1o2K+Q9Lm8TMA6OnfVxgwdgdbLKbyJ7JhT1WlbO23UjgtFz224zc9Ka3PrVZwXqvRp3LSAdJFS4j6VYcMrhZzEjZpGcx10eMybECm75Vs9QRLI5QMplrbcIHWgpfUejHQzHu9GKgVEkrhqwsDpgKO9/gxe2GADrJviDgXBlR6KwyInCrFK+FZaIDrpYqTqui67pXKAO9rwR7gDTOTQU/McX9Ld3C5C.ujClsj2ZJ7Er0pNlJmATeH8hTquAlz1F+FXhH3wsDqv61MEAIsN8KA15uhQHTcS8MO?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)BJRU5Er@ggg==$/9j/2wCE?wICAgJCAwJ.wRCwoLERUPDAwPFRgTExUTExgXEhQUFBQSFxcbHB4cGxc@CcnJ.1MzMzNTs7Ozs7Ozs7OzsBDQsLDQ4NEA4OEBQODw4UFBARERAUHRQUFRQUHSUaFxcXFxolICMeHh4jIC;JSUoKDIyMDIyOzs7Ozs7Ozs7O:BABEIAI4A9gMAIgABEQECEQH/xACR?ABBQEB))))AQIDBQYEBx?AQMDAgQCBgUIBwUJAQ?AgABAwQFERIhBhMiMUFRFCMyQmFxM1JygZEHFSRDYqGxsxaCksHR0uElU6K00yZEVGNzk6PC4vAR?ICAQMDAgMHBQ))ABAhEhAxIxQVFhInETMoEEYpGhsdHwFCNygsH/2gAMAw?AQECAQA/APVUIQgAQhCABCEIAEIQgDw/8qAS/wBMqzHvRws3/tCsWbSC/d165xZX2IeK5ae5UYEYCGmp+2A/SDtlmbzysfxRwdU2yMagXaaD3zFsODv21tvjPn: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;9X37Iornw8FBKdDNThQ02Obymblhq+ztupnP8AttLQcZb8PbaT3WJWfm6FRwqd0rpa2aW5STRU1TNSjEbDuIvHy5OjTvjU3xQrS1XDhjWcFoOlAsa5ApxEct9Z9DIUWvKT1H6Nn3doseOfzLdCEKAcCEIQAIQh?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?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?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?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?hCEACRKhACOmunJHSiDHSJ7sm4SiDUJ2EmEAIq+QRGtk6W9Y4lJnwwLNsrHCpK+pjir5h5THsLbu+dxbsl5BHRKfMZgCdo93+ePBc8UVLNq9qQxZmZu23mko6nmaQ5LBELvl3bDs/wDWXYxnIbRQt7OdeWxj5JyXkXJLBGANp0t2XLcqian0aGbTv/WUozEU7jGTcqH6Yn7t/ouWGtp53mpqkxKHL8oybD7v4JeQi3eTnrgaahat0vrwwfsth+6psurh4auiIBN/SKKbOow2DS/ZibLvnH8FwVNJoqGhiyWvHLLzZ03/AKS8llbgjG3OZs3rS07/AINlFJWyQEFPIXq4ujzyzLnr60oIRt4fqcNJ8Xb/?TRf0sBlD6XYJPn2YkfuD/Utp6enqwbkuwF3+G/muGqjqKVxAifT3HGcZVkfo9LBHzI2HsO/wDe7Llnu1IUBiUeps7C++W80W5ETi+g2G9MGBlF/Btu6le+U/MccOQ7dTKqKniq2cqM+v8A3Jvv9zqvn51OeiUXAkbWwo19INNNIFRFj3tO2O6sFleG6mT04Ys5A2L7sM77LVpjVcCtCpUiVIAIQh?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?Wp/JvRzQX6czcXH0Q22znPMi+Ca5txaI07s9JQhCgAEIQgAQhCABCEIAEIQgAQhCABCEIA/9k=%iVBORw0KG;)NSUhEUg?AG4?ACCAgM?ADasxWR)DFBMVEX/2en:/+VlZX29vY4hdad)SElEQVR4AWPACZj/f0DmjkqOSjKtQgcLyJccZiEE9SOmP8mXHEaBMBoIo4EwGggryJccvvVKKAogTnJUclRyVHLklgmjkqOS?LWyrsxEHLD)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AKo?ABXCAM?ACjpC53)YFBMVEX::/8/zr9P:8fv59P75+f4CAgLe7f7/9v37/f/D4:j8P/68/7z8f7y+P/v7v4vLi/9/v/4/P+BfYD/8f7Uzdeuqq7n7v1QTlJAP0D/+f3d0tz:P7q4+nl3uPh2eKWMI3l?AGjklEQVR4Xs3Zh5LjNhBF0QGzcp644f:0uADAfQjIDZFeXf2OlS5SmUf9zQBjfTyV/th6/+GJl7Wv7L/E71+NM3H61+Gcvr/EwCXBl2+zYnU11rzazP0+v9KFOiDVEz2w1M:sS4FKloWoqa0JPGn5dj0xwvv3KKPPPT/hFTpcupDBCLlJ8ZoCwdmktVF0CHsjRvzTPZqkmfeqwi4Gcj+gWAxkyx6lYvPaySf0no4gWT0u6z6zp+YV4qXrDsCmDAUVKPPC7OMeFE/LqcFFTfAiX32VCs+JSPPJwcY1MoWZ+SwsNUUngwElTTGcJqe/0w9c7m8QLwyDjHtE4XW/Vz4rmJWk7Hj5UzeIbnumeih8JZDn/xErA0pS5lAorosPptfHK6/qSJTpsxhM05eZkfh4q9Q0ZeAWXfGBvPbzNUImlF7HQ9QR1Dba8kRYSNtyKcVxukvARcF1pGZWaYkPFvV0gasU0ITFB7r6HBJk4ea9Gu122x?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)BJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AMg?ACrCAM)U5iNY)YFBMVEX::99u797t/o6Oj86tj+8+fi3tv95Mv:fzy8vH92rjV1dT138hFRUb8/Pz/+fL/+/j5+fmWlpXqxJ3EwL2Uhnjx1brOtZx/f38?ABtZV3+0qeFeG1fWVXqzrL/zJlhja+0?AEqElEQVR4Xu3cCW7cMAwF0GqXd8+WtU3vf8uKsabwDFEziWJUBPhv8KLIIqmBfvBMfM8P7olxnqdpnrlTYlIopRIlcncop7VzAOHtcNr+HIYXkDB3hOT4FZyaZkiMrB0PwWrnnAJN5AhRi+O1DcFanfcKP0mcnL0Mw/CYc05RHPfKPDlw3MQpgci/1vds9gve7IyPkbaKz68ciFliQaLR3uBfNEoZL42VtLoxZanZubeF140BFu7tbYqDwyMy3tyJYUOK1Q4gjB22Py45uznydWj7kB2PWgGEv8PmA527I+gM4e6obUHEoeBo5+5og3ZwtKPEyMARVo4EQeHQ696tR5skFkfr2qsW6GmTI+ftX3l46J2qG5IddKybKof0R5YQPB09fixBy4ow3iPy1ZJzBFcoQWvqZOdfa0n1K/2ISHDPLlMUmWvJpDEHzX5lGi/3I3JjVR6JZEw5bGRMYc?REMEMPVDEsMQSZSRgcMY323GG5MkDCDPZDpvifx/SGP8s4bYlHATm6Ihz93p93aqgHQA+atAlgVyqh1yWCALo29v0i+UBDkzgYAjMzDFWk6QFQNRGEFgQQDwepc2z0nZQPKCvKL@eEEuTqwhBekz471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)BJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AN)COCAM?AB3/nbB)MFBMVEX::b0dP16+mikolpXU+0pqjJvLo+NSz+/dLDtnvy75Xx4sKEd3CYjVUEAwPezqEZNO66?AT3UlEQVR4XtyW2a7iQAxEy1tv2f7/byex1bcngRHwlDucl04phcSRaQs4ac6rJpiqJvz/sK6O5P2wL/EJvkNI1+8SSiEiaR5CYNrBS54XmXAn2T0SgLkLpRhaNobDspdUuC+QLMSqei2S7hhkXXEj5D7682ihGKg7SI9phOO4Fink1nuFbNwc2A75pDpzKAwjWgfX4nh3v1A63ypJROHB4OPIYvk4YNFOR7oUQfp7hOhUYKZEyPF.gHk0evCvkouxT6ibPTLJoSYRghBXcHMPPLqqPEonoUyA/cLSQQ+L4EhNGLqQfhc7EKCASa8oOKRWn7A59D4PmBV7stK8zMhjh3u6Lk41uT7tLrgEdpNJmYCX5XK+38UMsFv+ox+78cd6r5ggMwSKJxG8UOhU;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.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;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DHBNjimE2OIXslxHJcXE2hYnAzgjO11ak+VRqv3DuEWU8r3ccYaws5JLbC4mJkWOOMvuz/Fdp3dp9Ta+t/0dXBbC1Rw6wxKwy57aZ8tXp0/SpwSq0C9czIfXXFpW9dN3c9uedN2pIFLjGTqfn/wqRiNPB2UdChTAWsYcyiNBIVCF8uoqpYhc/iqztTHFcDssaspbC9jJikAyeMhZY2BVg0blTpZWH0PlKxeTBkwm/ucPSR5VglMayONLOpOoZj43OpAW5QA5cqmeHrIiSZinSUC6jlkDmpy+NUrdWkVshYza5SRkvIdOfM5d6oC9dERnOZUZZ5dvPlWf8RvFPBJLEcwscSkEZEHe7P76plsev7P+tb3w7iMtrwvZs7Blt7O9eMcgdTXM22pOk+z4a0vDIIrLD7W3j?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:Z%iVBORw0KG;)NSUhEUg?AKs?ABtCAM?ADph2GC)MFBMVEX::39fru7PbrpM/44e7l4/Lb2O2Ogsvo5vO5sd3yyOHg3fBPPrbOyedqWr7jerqa+5Aa?ACm0lEQVR4Xu3b6W6sMAyAUdtZF2De/20vS+9kiIdJJdBgVf7+RoqOUgqNpcKtuRTCsBRCGmELoyt+rrhIIKZxGl6bEgBQKf6lKIU6tCWg7VBrBUFAfuClxdpgQUDTwJuQHawnuD03vGvkVifjaeUlJFcaLNxe2nDT6?AfdqsASk6QphD+jGjEGuo5/y0VoATZaUKCJsdX2;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:b1reHeWpVq1rVqla0awiX9w8fzZxu8yr+j)ABJRU5Er@ggg==!LJEF%iVBORw0KG;)NSUhEUg?AKo?ABXCAM?ACjpC53)GFBMVEVlq3O31bzW5tiaxaOGu5B0soD::q8utoM9e3?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)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AII?ACCCAM?AC93eDP)MFBMVEX7r11HR0f8yZHLklZZUEmyg1P8uXLjoVmLbE5pWUrAi1X+6tPVmFfyqVx4YUz:v3zEySO?ABHElEQVR4Xu3cS4rDQAxF0av6+5fsf7ed0ANDV8b1GvLOCu5AWMhg83w5UkOgpeP58k5IyKTfhIZQeyckpNKTA7GDhFiiIdb4KmZmZmZmZnadH1ysdMYHpxOc4ISbE5zgBCc4oesTKDG7WGrEZGOtGpPBWjkmlbUu+TTCNiUA4nl8gHoeB4B2S+wsF390lnuopxGqehRg1z6YmJdlRqBIp3FelgWFqp5GyOpphEu6JudleSFRxw0xs1xHxDZqR+Tc7k3dQb2syy4ruO0A2tO6dBYb8pOy62/7PWZZfttHBXCCfhy7/PXCJj+sI8vfLwwQNwwU8j0PW0ZkHyUiytiRMDMzMzMzM2v6gIRY4kDs0H/wrv/s/3/8/ED/C4gfHWoMKlwF198)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AL4?ABBCAM?ABYbu5j)MFBMVEX:/+1wv+jqv9siv/p6:W3f8zZv9gb:19v9NK/8zAP999:S:8z:8zzP+z6P/0gInF?ABg0lEQVR4XtXXy1ICURAD0H7c96D+/9/KQqkhlEKD0iTrWZzKYtJXbou2s+jvn1Q55f2mfAMOb6Ec5D6+c/ObcvOdm98qN9+5+a1w842b3wo33/6Dv2H22g3zCL+PKF/uSKDsGL8pN9+5+U25+c7Nb5Wb74R8h+ki41eYLja+Qf1k/AL1k/HF4XIg4ytMFxl/X7/z8aF+Ov6A6bqR:FTnswXa2B96LmyPZtfoH4yvsDlwMaHy4GLj/Xz8RXqJ+PD5UDGh+ni448O08XEh+lSrtUVnC6qm+ey/krGx+li4+N0sfHh7Cfj43Sx8bF+Mj5OFxkf67c8frF+jJUovzRIBr/4+kovMb5YPr/OdcrUGL9k8FG/Tw3xxbP55/o1R4hfk/m6IBbii+fyJ/JnjK+5/HWRGuJLfzG+xvh6lX89f8m3GH90ar7Ya/FrkF8y+XNhRpAvlsi3+H8fUxP5A+svYb54Hl8Uy4/zNZEvCvo4XzyRLzrhXg7zNZMvw/o6ptsQpvDnE+wJyVGQ5SG7)AElFTkSuQmCC!