C# : Keyword
Top 37 C# Example Pages...

[".ew.fy..rs.ry.yf.. ibdCCST~~}T~~YF5996F+CCECCP96565FdBC+B#BXBbC[CCEP7F]BBBXBBBBBB[B+dBBBBBBBXBBZBaB1BBCEPG7G576F(BCCP6658FXBBVK+XS}T~~}T~~","Casts."," Casting variables is complex. A set of rules resolves casts. In some cases data is lost and the cast cannot be reversed. In others an exception is provoked.","Conversions,"," specified as methods or operators, are often required. Lists and arrays are similar, but not the same. To convert, we use ToList and ToArray.","A first program."," We cast a double value to an int. This is an explicit numeric cast. Some casts may be implicit (not specified in the syntax). ","Is, as: ","With the is-operator we cast an object reference. Finally we cast that same reference with the as-operator.","So: ","The StringBuilder is converted to an object and then back into a StringBuilder reference.","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","Based on:"," .NET 4.6\n\n","C# program that uses casts","\n\nusing System;\nusing System.Text;\n\nclass Program\n{\n static void Main()\n {\n int value = ","(int)","1.5;"," // Cast 1.\n ","Console.WriteLine(value);\n\n object val = new StringBuilder();\n if (val ","is"," StringBuilder)"," // Cast 2.\n ","{\n StringBuilder builder = val ","as"," StringBuilder;"," // Cast 3.\n ","Console.WriteLine(builder.Length == 0);\n }\n }\n}\n\n","Output","\n\n1\nTrue","Implicit, explicit."," Implicit casts are not visible in the source text. The explicit (int) on the left side of a variable or expression casts to an int. ","Example: ","Here the integer cast succeeds. But we then try to cast to an invalid type.","Warning: ","If you incorrectly use a cast expression, you will cause an InvalidCastException to be thrown.","InvalidCastException ","invalidcastexception","Implicit casts: ","Intended never to provoke an exception. These are used when a value is expanded to more bytes.","Explicit casts: ","Allowed to provoke an exception. Explicit casts are used when a value is reduced to fewer bytes.","C# program that uses cast expressions","\n\nusing System;\n\nclass Program\n{\n static void Main()\n {","\n // Assign an int and then cast it to an object implicitly.\n ","int value1 = 400;\n object value2 = ","value1",";","\n\n // Explicitly cast to an integer again.\n ","int value3 = ","(int)","value2;\n Console.WriteLine(value3);","\n\n // Try to cast it to a string.\n ","try\n {\n string value4 = ","(string)","value2;\n }\n catch (Exception ex)\n {\n Console.WriteLine(ex);\n }\n }\n}\n\n","Output","\n\n400\nSystem.InvalidCastException:\n Unable to cast object of type 'System.Int32' to type 'System.String'.\n at Program.Main()","As-operator."," This cast allow us to store the result of the cast in a local variable, in a single expression. I recommend \"as\" for all reference types. ","as ","as","Also: ","The as-cast will result in exception-neutral code\u2014which is also faster code.","Is-operator."," This is the same as the as-operator but it returns true or false, not a variable reference. If we use \"is,\" we may end up casting too many times. ","is ","is","Numeric casts."," Many casts apply to number types. We cast numeric values. We explore the intermediate language's casting instructions. ","Numeric Casts ","numeric-casts","Cast to int."," We can cast fractional values, like doubles, to ints. This is a useful technique for rounding numbers. It can be used as an optimization. ","Cast, Int ","cast-int","Type hierarchy."," This is used to specify behavior based on the structure of a program. We specify differences in methods called through the derivation chain. ","Note: ","Type hierarchies are implemented with a matrix. In casts, this matrix determines if the cast succeeds. This is \"transitive closure.\"","Convert."," A List is not an array. This is no problem unless we need an array. Conversions are possible for both simple values and complex data types. ","Examples: ","These examples show how to convert types. The provided conversions are more complex than casts.","Here: ","In this program, we use an extension from the System.Linq namespace to convert an array into a List.","LINQ ","linq","C# program that converts array to List","\n\nusing System;\nusing System.Collections.Generic;\nusing System.Linq;\n\nclass Program\n{\n static void Main()\n {\n int[] array = { 1, 2, 3 };\n List<int> list = array.","ToList","();\n Console.WriteLine(array[0] == list[0]);\n Console.WriteLine(array.Length == list.Count);\n }\n}\n\n","Output","\n\nTrue\nTrue","List."," This is a generic collection. Often we must convert Lists to Dictionaries, strings, and DataTables. And the opposite conversions too are needed. ","List to Dictionary ","convert-dictionary-list","List to DataTable ","convert-list-datatable","List to String ","convert-list-string","Arrays."," Some of the more complicated conversion methods involve an array type. We convert various types, such as ArrayList, string, and List, into arrays and back again. ","ArrayList to Array ","convert-arraylist-array","ArrayList to List ","convert-arraylist-list","Char Array to String ","convert-char-array-string","List to Array ","convert-list-array","String Array to String ","convert-string-array-string","String to Byte Array ","convert-string-byte-array","BitConverter."," This class converts byte arrays into integral value types, and the opposite. This tutorial uses and tests BitConverter. ","BitConverter ","bitconverter","Methods versus casts."," For many classes, custom conversion methods, even complex ones, are needed. But for simpler value types, using a casting expression is sufficient. It is also faster.","Numeric."," Most numeric conversions involve a multiplication or division expression. I developed (and tested) some reusable unit conversion methods. ","Bytes, Megabytes, Gigabytes ","convert-bytes-megabytes","Celsius to Fahrenheit ","convert-degrees","Days to Months ","convert-days-months","Feet to Inches ","feet-inches","Miles to Kilometers ","convert-miles-kilometers","Milliseconds to Seconds ","convert-milliseconds","Nanoseconds to Milliseconds ","convert-nanoseconds","Bools."," We cannot directly convert bools and ints. The .NET Framework disallows this. Instead we must use expressions to convert them as needed. ","Bool to Int ","convert-bool-int","Int to Bool ","bool","TimeSpan."," Our programs use many built-in structs like TimeSpan. We can convert TimeSpan into a long value. This may be easier to persist to disk. ","TimeSpan to long ","convert-timespan-long","Strings."," Often our programs have string data that represents numbers or times. With int.Parse and TryParse, we can parse that data into an int. ","String to int ","parse","Strings, arrays, collections."," With ToCharArray we convert a string into its equivalent char array. Custom methods, which often use Split, can parse more complex formats. ","Char to String ","convert-char-string","Dictionary to String ","convert-dictionary-string","ToCharArray: ","This method is provided on the string class. It returns the underlying buffer of a string as a char array.","ToCharArray ","tochararray","C# program that converts string, array","\n\nusing System;\n\nclass Program\n{\n static void Main()\n {","\n // A string value.\n ","string"," value = \"test\";","\n\n // Convert the string into an array.\n ","char[]"," array = value.","ToCharArray","();","\n\n // Display parts of the array.\n ","Console.WriteLine(array[0]);\n Console.WriteLine(array.Length);\n }\n}\n\n","Output","\n\nt\n4","Char."," All chars have an underlying integer representation. A lowercase a, for example, is 97. We can implicitly cast a char to an int, as an int is larger. ","Char ","char","However: ","To cast from an int to a char, a cast is needed. This is a narrowing conversion where data loss is possible.","Sizes: ","A char is only 2 bytes. But an int is 4 bytes\u2014so larger numbers in an int cannot be safely turned into chars.","C# program that casts char","\n\nusing System;\n\nclass Program\n{\n static void Main()\n {\n for (char c = 'a'; c <= 'e'; c++)\n {","\n // Cast the char to an int.\n ","int code = c;","\n // Cast the int to a char.\n // ... An int is larger than a char.\n // ... So an explicit cast is needed.\n ","char original = ","(char)","c;\n Console.WriteLine(c + ","\"...\""," + code + ","\"...\""," + original);\n }\n }\n}\n\n","Output","\n\na...97...a\nb...98...b\nc...99...c\nd...100...d\ne...101...e","Operators."," We can define conversion operators with method bodies. Implicit conversions require no special syntax. Explicit ones require a cast expression. ","implicit ","implicit","explicit ","explicit","In compiler textbooks,"," we learn that an implicit conversion is one done automatically. This kind of cast is called a \"coercion.\" The C# compiler limits coercions to lossless operations. ","Conversion from one type to another is said to be implicit if it is done automatically by the compiler. Implicit type conversions, also called coercions, are limited in many languages to widening conversions.","Compilers: Principles, Techniques and Tools","Cast expressions abound."," We demonstrated explicit and implicit casts. An explicit cast expression can provoke a runtime exception. An implicit one does not.","To sum up:"," casting relies on the type hierarchy. With the \"is\" and \"as\" operators we safely cast. For complex conversions, custom methods are needed. ","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","3679700504","data-ad-format","link","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","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,iVBORw0KGgoAAAANSUhEUgAAAIwAAAB4BAMAAADS7QcCAAAAGFBMVEX////0ctuZsLL4pOe8y8z4oej4qunCz9FAYxXHAAAAf0lEQVR42u3XwQ1AQBQG4YcGvAgFbCSudCCiAQcFuGhB+xJHm/+wsnGaKeC7j7mstldlkJnvoi1m+lUUrDFRFTOziRYYGBgYGBgYGBgYGBiYj4yfoiNmhksUcr0mEdFT4bIkpjtFacxoogkGBgYGBgYGBgYGBgbmB6bdRZ7pNW8Oq3ex+r2t+QAAAABJRU5ErkJggg==)","C","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/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wCEAAYEBAQFBAYFBQYJBgUGCQsIBgYICwwKCgsKCgwQDAwMDAwMEAwODxAPDgwTExQUExMcGxsbHB8fHx8fHx8fHx8BBwcHDQwNGBAQGBoVERUaHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fHx8fH//BABEIAJ4A+gMAEQABEQECEQH/xACQAAEAAgIDAQAAAAAAAAAAAAAAAQIDBQQGBwgQAAAFAwEEBgcEBwUJAQAAAAABAgMEBRESBgcTITEUIjJBUWEIFSNCUnGRM0NigRYkU4KSocEXZHKz0TRERVRzorGy4fARAQABAwIEAwYFBQAAAAAAAAACAQMSBBEFFDFREyFBBiIygZHwQlJiocFhcXLR4f/aAAwDAAABAQIBAD8A+qQAAAAAAAAAAALgIAAAAuAi5AFwAAuAm4BcAuAkAAAAAAAAAAAAAAAAAAAAAAAAAuAgAuAi4CLgIuQCMiAMiATcgE3ALgJAAC4CQEkAAAAAAAAAAAAAAAAAAAAAgzAAEGYCLgIMwFbgKZgKG4AZgL5AMhAJASAAJAAC4CSALgJAAAAAAAAAAAAAAAAMBACAEGAqAqYCnEBjUoBjzAErMBlQAzJAWAWIAuAXARkAZEAZALAJASAAAAAAAAAAADyrarA2vTdUwUaSrTtA041TpD9SqCI8aUnpLWS22928aXOunvTwIB5Jsp1R6Q+saXStSwtRvVKC3qBum1mmdGhN4Qm0MvPP75WCrYvY4JTl3kYD6vAfOvpC612gaa2j6Xp9I1d6homoTbYkZx4y2oft0NOyVre7ScXcjI1JIsefeA2ewfXe0Gr631LQKtVk6s0xTUH0HVbUdthpx9K207pCmS3askrUr3rY8wHuYD5y9IvXWv8ASuvdOxaRqtVFotcSluReMw4iLg6ltyQpTpKz6rmWPV7PmA7Rsmb2oSNUSKlO1pG1joNUdbUGcw2wwpyVdvjumkdXD2iPtT8fkHroD5RqW0DaE1td1BpGp7S06dpNPU45GqT8KKtHNC22MFYe678Z9kB7Xsih7SY2npH6e1Fqp1F6RvYUhg0Y9GU0jHsNs+9kfIB3pIDO2AzpMBkIAALgKZAOPLmIjsqdX7vhzPyAdJreo6n1sH1MI+Fs8bfQB053aZqGjSSd6Qcti/tI755ZfvdpJgPW9K6mp2pKKxVoCj3Tt821dptxPBaFeZH/AKgNwQCwCQAAAAAAAAABoddv6gZ0lUv0epfrmsLbJqNTt+3GJzerS2v2rvUTg2pS+PO1u8B5d6LmjdoWidP1XT+qqEVNjuS/WEWZ0qO/vFuttsra3bC3ccNwSsjPjfyAe3APnj0gdA7R9U7RNM1Ki6UartD0/u33UPS4bbcv2yXHYzjUhaTJJpaxM8TIyUA42zbZrta0Ltcq3qqnsNaGrUk33Xt81uWI2+3yUIYyy3qW7scEW43AfRYD559IHQW0vVG0HTdToGmUVek6f3b+a5cRlMhe+S6tlTb60KT9lzxMjAdj2Z/22/p9Nc1FQWdNaFciqVCo0dymvNsyvZJ+0jFv1Z+0X1uHGwD11QD5dPQ+12Hth1Brb+z+PWoVR3rDEKRPgbvC7aUPe0Wr3WeWF+sA9X2MI2qo05LRtISSaqmUfQkpKF/su6RiVoPs+3lz4/kA9BAZUAM6VAL5AGQCuXABjUsBotSyd2y1x6t1H+ZW/wBQHnldqaMVcQHl2p6p2+ID0P0XahJfjakj8ejNPRXGvDeOpdS5/loAe7gLX4AJIBIAAAAAAAACi3W0H1lEAgn2b9svqAsAot1tJ9ZRAIJaVdkyAO4BXgAjh4gKKAYlW8QGPhcAAWSAvmAtvAA3AFcwFMuIDUapiIk0Z9W9SyphJuodWfVLEuSj8DAeBanqkuK6tiU2th632biTQrjyOyrAOhutVauVBun0uM5MmPn7NhpJqV+fgRd5nwIB9J7CNPQKDpJ6n5H68RJX6+ZcLFxmTYsW+fY3eJoUR2UR5FzAelgLEAm4C1wAAAAAAuAgBidZQpWavdSZeQDjxGUONkr4V34fIgHMMwHElEW+bsX5ePEAjkW8V7v4QGewCquZAJx4gKKAcdRdY+ACvCwCAC4BkAZgGYCuQApaUpNazJKUkeSuREXeZgNTHbXWpCJbyTTSmVEuEwr75f7dZH7pfdp/e8AGzm0ml1FBN1CGxMR8D7aHbfxkAvTaPSKak0U6ExCSrtJjtIa+pIJIDVajoE/preoaDimuxUbtxhSsGp0a/GM8fcZcTac9xX4TURhtaFXYNap6JsQ1J47t9hwsXWXkH7Rl1HurRyMv6ANiAnLgAslQC1wE3AAEAAAAq4kloNNzt5cwFGWENXxMwFzAYlspWrK53AN0jLLiAuAi3EBBgKKAYVJLzAUxAVMBBgKmAi5gAAA1qket3cP+FNK6/wDeFpP/AC09/wAR+XMNyhIDKkBcBYB16r0qXAqKtQUZs1yFklNVp6bfrbSOS09xPtl2D94uqfcZBt4NQiT4bcuI4Tsd4skK/wD3EjI+BkfIwGfMBZKwGVIC4AAAACAABFwABUBAAAAIMBQwFFAMYChkAqYCpgOJLqMaMeK1e054Fz/MVlOjNa08p9HE9fM36zZ4/PiKeLRyORl3ZCfKqHuWFGmJ/vLnElKv92nv/wAR/QZMqOLctSh8VG2aaShKUIIkpSRYptYiLwISxsyUgMiQFyASAgwGgmx1UiU7Uopfqbx5VGN3ZcukNl8Xxl73PnzJjHKrgy9bRW1n0dhTyfjywv8ALgoxg8dtbfCZfirsyUvXNKlSExnyOI8s+pmZGgz7iy7j+ZBHURRf4RdhHKPvU/f6O1JGdqmQBIAAgAARcBABcBUwC4CAEABmAqYCpkAooBSwCgDDKeSxGdfV2WkKX+SSMxHpuvbhlKke9dnnCqut11briuuszNX5jX5u3crSNNqdKB1HzDNPLtjpupuNVZlN/ZvqJpafHLl9DF7U/ecbX6akrVf0+b0NKRznVmQBcgEkAkBADou0SrqZcjwEqxSpO+d8+JpT/UcTUz6Ow8E0uVJT+TpLlSRjzHEzb/l6tJU6gnE+IwzbLTWHsGy+uvVnSrLr6jW/EcVFcX3qwIlJM/3FpGz0lzODo/H9HSxqa0j5ZUy+v3V28clpUgIAQYCAC4CAC4CAFQAwEXAQAGAqYCigFLgKAMUuOUmK9Hv9s2pv5EojL+oiXRe1PCVJdq7vGJvSIcp2M+k0PNKNC0n4kNRJ6JZxuRpKPSqrcs/ERkvW07VoyI5MqrKrezjmTrivDHs/UxybEfeaXit3w7Vf1eT05I2Dp6wCbgJuAm4AA8y2xwpLKYlXbSamEl0eQruRxybM/I+JDX66PSTt/svdjLK1X/Kn8vJ3awfHrDW+I7rHSNZKqfPiMebm2tM+idklBlUfRkdMtBtypq1S3W1cDTvCIkEZdx4ITchvNHbxt0eW+0usjf1dcfhhTGny6/u7oOU0CAEAIADAQAgAAQAgBACAABACoDGoBQz4gIAa6rVGQhaKfTkpXU5BdTLsMt34vOeRe6XvHw8TINdM2f0SXDQ04bnS03Uufct84tR9ZTnCyuPlw5FYhhu2IzbHQ8Uu6b4fOParVR9lDCHcnaktbV+ylokq/iNSv/AwclTu20/aWX5KfX/jflRPUiUSqM2paW04zIeRq37dzPJN/vU8bePLwtyoQxaDU6md6WU6t3BmRpsVuVGWTjDpdRf/AM5kZcjIxdx3IAMgDIBIC4CkqJGlxnI0ppL0d5JodaWRKSovAyMQvbuShKko12lT1eYVn0f6PKkKdplTep7aj+wW2UhKfJJmptVvmZjXT4dHu7jpfbO7CO1yFJ1774/w2Wk9iOmqJMROmOrqsto8md8kkMpUXJRNFlcy/Eoxks6CEHF4l7WajUQrCFKW4167dfr/AKejDnOqgCoCAEGAgBBgACAEAACAEAIMBUwFFAMZqAVuA40+aqOlDbKN7MeumOze1/xKPuQnvP8AqAtS6amGhalq30t885Um3bV/RKeSU9xAOdYBICQGintP0WU5VYaFOQHTzqkNBH1f7y0n4i+8SXaLj2i4humJLEhht9haXWXUkttxJ3SpKi8fAwDMAyAZEKAZkgLkAkBYAAAFQFQEGAAIAAHEnJdUlJIva/WsAvES4lnr878PEiAZgABFgFTAUMBiWskkalGVvPkA4C6zTUq+3L5kR2+pFYBZypRksE60on1LPBltsy66/h8vPwAZIEJbSlSJBk5MeIt6v4bcm0eCS/nzAc4kgLYgJxAMQAB11bStPSVvNEfqOQo1SGu6I4o+LiC/ZKPtl7p9blcBzp1ZpcIi6VJQ3kWSU3uoyPvJJcbAMEPUtClOkyzMRvVH1UKui/kWZJuA3LYDOkBkIBawAQAAAKAIAYJk2HCZN+Y+3GYuRG68tLaCM+BFkoyIRKVGS1ancrjClZV7UpuypUlSSUkyxt8yMjEqAIcZ+alpzDHI/oAzpMlJJXPIr3AVdWTaDc+H+YDFHlJeM02xVz8eADOAAIAYlAPPtV6lNyqOQG1+wjHiv8Tnf/DyAaV2row5gNYxrJyk1NqYjr4H7Vv4kX6xfPwAe1xnWpDDUho8mnUpcbV4pUXA/oAzkkBOICbAFgEYgOt6+1K1pvTEupLJK3eDMdtXZU64ePHxIiuoy8CAeAx9Smss1r63D6WsRF5F3AMVQ1EnA+sA9W2IbQHtQxplHnOG7OppJcZdUfWWwozT1vNCuF/AyAerJAXIBIAAAACgAA6jPRpPaFAfpzUw5EaC+lTzkczQtLpEok2zSZGkyNXGxkfcONLC/wCreWea4XOlyscZTj5ZdNvlXq2CK1p+iSKdp1+UliUttDMBhWRmtCS3bfWtYjPG3WPifIX8SMNobuJyl/URnqMd471rKvavWv36N4MzXMD0Nl1ear5fPmAykRWtyLuAVWgnCNHunzAUaits3wvx538AGUgCwCDAVxAfO2tpr9L1hVoz90/rC3kX+B494m35KAaGRqTq9oBoZ1aceWSEXWtZklKU8zPkRERAPrbTcF6Fp6lwpH28WIwy7/jbbSlQDZ2ALAJsYBYAAeV+kjClu7N1So6Txp8xiTI/6eK2f/Z0B8st6hVj2gGGTqFVj638wHsXomRpszVdcq3HoUaEUVS+7evvIcT9EsGA+oQEgJAAAAAVAdbd1zRv0v8A0RRvfW2GeeBbovZ73HK98t3x5W8xg5iOeH4m2jwi7yvNeXhb9/Prs4VQVpHZ3TXqkzEVHjzH0IfbYI1rccMlGm2arJxLI7XIhSWFj0Z7HNcUuUt5ZSjHy38qUp9G2Ojacrj9N1CuKl+Q22h6BJVklSULLeIM03sdsrlkXAxlwhPaWzg81qNPGdjLGNa1pKn9elfv1bgZXAAHFqDbym04EfPrW/kAvCQ6lgt5zufPuIBnAa11mX0s8SPn1VdxEA2QBYBGIDo+0nZfC1jGQ+y8UKsR04sSrZJUj9m73mm/Iy4l/IB4dN2HbV25BstU5qS3/wAw3JY3f0cW2v8A7QHomzDYIujVBiuanfblT45k5EgM3U0057rji7ddSe4iKxHxuYD2cAxATYAsYBYAxMBhmwIk6G/CmNJfiSW1NSGFl1VtrLFSVF4GQD5Z2g+ilqiLPdlaKebqFNcUam6fIcJqS1+DNfs3E+ZqSYDr2nPRY2rVSahusNx6FD+9fefakL/cbjrcy/eUkB9W6B0FQdD6cZodHQe5QZuSJDlt6+8oiydcMi5nwLyKxAOxgAAAAAAAqA4/q6B03p/RmunYbvpWCd7h8OdsreVxXFl8eeGGVcOu2/lv/ZMyDCmsHHmx25UdRlky8hLiDtxK6VFYTKKLV6duWUK1jLvSrKlKUpJKSLFJW4cCIi8BKiQQgAAACwAAAABYAASAAJAACwBYBIAAAACQAAAAAAAAABACOAAAAACAAA4AAAAAACQAAAOACeAAAAAAAAACQAAAAAAAAAAAf//Z)","url(data:image/jpeg;base64,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)","url(data:image/jpeg;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/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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)","url(data:image/jpeg;base64,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)","url(data:image/jpeg;base64,/9j/2wCEAAgGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycBCQgICQoJCwkJCw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ//BABEIALAAvgMAIgABEQECEQH/xABOAAADAQEBAQEAAAAAAAAAAAAAAQIDBAUGBxABAAICAQEEBwYGAwEAAAAAAAECAxEEEgUTITEUIjJBUVJxBjRTYXKhFSQzQoGRI0OxYv/aAAwDAAABAAIAAD8A/fyAAAABgAgANkWwej2Np2NmFbG07GwNL2aNnBDSjIwkAAAAAAAAAAAAgADBAAAjIGUpORMxqDNIVupR0/8AoMjP1NpAVCkqBScKSZJMAAgAAAAAAAACIyBgENmYIbABPPi/aGXlZ+7zcemDDfo6O7tkyf0qXjrtXLXpnrtvXT4118du9wVpzcPKy91gwWw583Xkyd5emTp7rFj6unu7xa262jW6xqI9+wpjXk9o4a8yuacPLz8bBXLjpgrOK17z3vq9FsmWaxPRWInfnv8Axrhx9sdOHvuTxvfOeK8bJXqiYjpin8xbpmPHcz1b/Jz+ic3lY+0PTuPx8duXgjB04M2S/V4ZPby2xU1Hr+GqTrx829cna1K9PovG1XFXp/mb+OXw3T7t7MePrec/LHuYbdnZ7crs/icq96ZbZsOPJbJjralLddYt1UpebWrWfdEzuHU5ezsfJw9n8XDzJp6Vjw46cjuvY7ytY6+j1aer1eXqx9HUC2qFIVBFMqgyBJUCAIwkbAUEmAYIwaZKTlMmqC2NkWwelbLZbAPQLf5Ap9xge/ySPfCLW9WfGK+E+t7o/OT0mZaHD897P+3tud9huT21Tl8W3bXD41ORy8daz3OO+XJeuHFb1/av0dOuve/HXjG/b5Xafa+Lt/hdm4eXw+551L5sVLUt3nd4Yw9f/Z536ss11HlH1CX1KnzfB7bzcjt3m9m5OTgrj4+S1MWLUd5avd1v+Jv1eqdz068Pix+z32lzc/j583aN8WPusFeR6sdPvvW/99/VjpiPOJ37vIi2+rN8pwftHzM3ZXaObPbD6dxMUZ8daR6vRfHXJX++2/W3HhPwfQcDm4edxq5sGWuXyre9PZ64iOqIIpl17GyLZ6LatlstlsaLatntGziQe1mmFEqEymVSmQuEkZBYABgi8TKfKAUlPV8f3ZXvWlZvade9fvhy877pm/S0pG7RHxlhmtNaXtHnWsz/AKhlHa3C37f7NK9p8T53xtfan6uvE9G3Cx/m+fp2vnt/bV9X/EON8y/T+N8z5ujarGeLT83TXtHL/wDL6fHeuSvVWVOXgfd6ulxWjVv8vTpbqpW35bMbBEoTJbBGUyezhKoAhcKTCkS0gpTK5RIaQmSUQUQAMyKdKTIhMp8Nx4y5Od90zfpdTl5/3TN+lrj9uv1hzcj+jk/Rb/x8XX2p+rqxuOs+tP1dOOz3Lw+NxT4u2jZyUs263Partpd9LwPu1XU4+zp/laut5WT27fWX0OGf+Kn6YMFsJaAgRlJwcJhUFIhpCkwpLWBKZWnSVwnRaWWjVtOhpWhoDaNJmGmkzBwUstOTn/c836XbpnasWieqPPzaUnVon4TEsM0dVLV8uqJj/b8+jq6p8J821Jt8JfZegcT8Gp+hcT8Kr0v4hT5JfPx2Ll/Fr/qXyVbT8JaRafhL6r0Li/hVP0Pi/hVR6bT5JafwrLH/AGV/dPZc/wApT/Lum0782VK1pHTSPCPgqckb84/Zw3nqtNojznb18cdFK0mfZiI39F78Z+hblHeV+aP2HeV+aP2Srq/NRF1V+MGNFs1QiFwFQ0hSYUhrBgwlSdDSiB7LQ0YATMJmGkpk4TLKYRMNJRK4Z2ZyDklM5BgAtm8LkZb99bxnze4+e5M/81/q6ON7Tj5vhWv1He3+aR3t/mlkHV0x8Hn9bt4OS3pFfGXtPC4E/wAzX6vccnIj13pcKd4/8qhcIhcOd21aQpMKQ1hQASoAAAAAApTKpTJlKJZy0lErhlZEkckpnJGAZB87yf61/q+ieVm7Ny3yWtuNNuPatZnqnTl5mO961ikb1LzQ7/4Vm+MD+FZvjDp77H8zh9HzfIy7P+81e683i8DJhyxe0w9Ny57Ra3q+Pg9DiUtTHPVHjs4XCIXDB2VaQpMKQ1hQASoAAAAAAikykylEomGkwmYVDOWUwWmmi0raEaGl6GhsI0NL0NDYRoaXoaGwjR6VoaGwUQuBEKiC2rRwooUiWkGACUAAAAAACMAJ0mYWWj2nSNDS9DRlpGhpehoDpRoaXoaA0jQ0vQ0BpGhpehoDSdHEHo9Fs9EYMjf/2Q==)","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/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIwAAAB4CAAAAAAFqEXtAAAAoElEQVR4Ae3ZsQ3DIBBAUfbfwxNcfR0dEpInIiOEI7Li4v0JXv9bnLS+dp3UIke13MFErxZXi7mqzR1MX9U6DAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDMyPmLyr5Q4mRrW43vUo14uCgYGBgflDMDBx0mOYvKvlc5i5qk0YGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYmHdiclTL5zAnfQArQiNkrpqF2AAAAABJRU5ErkJggg==)","url(data:image/png;base64,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)"]