["$ exception..H$ ","&3:]70:throws an exceptionshows exception propertiesData propertythrows custom exceptionshows exceptionsshows a tester-doer method","IUYXqYYU8U7UIU9U+Y{YIU$I{YIIqtryqYII{YIIIUZUHU_1 / Ub.Parse(qX0Xq);YIIIU%UH);YII}YIIqcatchq (qExceptionq ex)YII{YIIIU%ex.Message);YII}YI}Y}YYqYYAttempted to divide by zero.qYYU8U7UIU9U+Y{YIU$I{YIIqtryqYII{YIIIUZUHU_1 / Ub.Parse(qX0Xq);YII}YIIqcatchq (Exception ex)YII{YIIIU%qXHelpLinkU_{0}Xq, ex.HelpLink);YIIIU%qXMessageU_{0}Xq, ex.Message);YIIIU%qXSourceU_{0}Xq, ex.Source);YIIIU%qXStackTraceU_{0}Xq, ex.StackTrace);YIIIU%qXTargetSiteU_{0}Xq, ex.TargetSite);YII}YI}Y}YYqOutput: truncatedqYYHelpLink =YMessageU_Attempted to divide by zero.YSourceU_ConsoleApplication1YStackTraceU_ at U+.UW()USC:\\...\\U+.cs:line 9YTargetSiteU_Void UW()qYYU8U7;YU8U7.CollectionsUIU9U+Y{YIU$I{YIItryYII{qYIIIUcCUM UXexception.YIIIqvar exU_UXDivideByZeroException(qXMessageXq);qYIIIUcSet the data dU'.YIIIqex.qDataq[qXTimeXq]U_DateTime.Now;YIIIex.qDataq[qXFlagXq]U_true;qYIIIUcThrow it.YIIIqthrow ex;YII}YIIcatch (Exception ex)YII{qYIIIUcU. the exception's data dU'.YIIIqU2 (DU'Entry pairUSex.qDataq)YIII{YIIIIU%qX{0}U_{1}Xq, pair.Key, pair.UF);YIII}YII}YI}Y}YYqYYTimeU_12/9/2014 5:38:22 PMYFlagU_TrueqYYU8U7UIU9TestException : qExceptionqY{YIU*override U? MessageYI{YIIgetYII{YIIIU@ qXThis exception means something bad happenedXq;YII}YI}Y}YYU9U+Y{YIU$I{YIItryYII{YIIIthrow UXTestException();YII}YIIcatch (TestException ex)YII{YIIIU%ex);YII}YI}Y}YYqYYTestException: This exception means something bad happenedY at U+.UW()....qYYU8U7;YU!YU9U+Y{YIU-UZqGetAq(Ub[] arr)YI{YIIU[arr != null)q UcCheck UVnull.YIIq{YIIIU@ arr[0];YII}YIIelseYII{YIIIU@ 0;YII}YI}YYIU-UZqGetBq(Ub[] arr)YI{YIItryYII{YIIIU@ arr[0];YII}YIIcatchq UcCatch exceptions.YIIq{YIIIU@ 0;YII}YI}YYIconst UZ_maxU_1000000;YIU$I{YIIUb[] arrU_UXUb[] { 1, 2, 3, 4, 5, 6, 7, 8, 9 };YIIUZcountU_0;YIIvar s1U_Stopwatch.UANew();YIIUV(UZiU_0; i < _max; i++)YII{YIIIUZvU_qGetAq(arr);YIIIU[vU^5)YIII{YIIIIcount++;YIII}YII}YIIs1.Stop();YIIvar s2U_Stopwatch.UANew();YIIUV(UZiU_0; i < _max; i++)YII{YIIIUZvU_qGetBq(arr);YIIIU[vU^5)YIII{YIIIIcount++;YIII}YII}YIIs2.Stop();YIIU%((double)(s1.Elapsed.TotalMilliseconds * 1000000) /YIII_max).ToU=(X0.00 nsX));YIIU%((double)(s2.Elapsed.TotalMilliseconds * 1000000) /YIII_max).ToU=(X0.00 nsX));YIIConsole.UY();YI}Y}YYqResultsqYYq 7.91 nsq: GetA, if checkYq16.85 nsq: GetB, try-catchqYYU8U7UIU9U+Y{YIU$I{qYIIUcThis is not valid!YIIqU? UHU_qXabcXq;YIIUZU:;YIIU[Ub.TryParse(UH, out U:))q UcTester-doer mUC.YIIq{qYIIIUcNot reached.YIIIU1Result would have the valid parsed U:.YIIIqU%U:);YII}YI}Y}q","A3fEEEBrBBfCrDABe+1C~.C~| 5457}%~~~~~ 545884FcCCC 649474694}3BBBB+BC1B.C~CK 74}3BCCC 7997F55+VBCsCC~E 6466+]K#X","Exceptions."," All human endeavor has risk. Much like actions in our external reality, a computer's processes can fail. Nothing is safe.","An error"," can occur at almost any statement. Checking for all these errors becomes unbearably complex. Exception handling separates this logic. It simplifies control flow. ","However: ","It is best used only when needed\u2014with the Tester-Doer pattern we keep exceptions exceptional.","Exceptional: ","Grey areas exist. Exceptions are a high-level concept. What is exceptional depends on a program.","In programs,"," we can throw exceptions with a throw statement. But an exception is often thrown automatically by the runtime. An instruction may cause an invalid state. ","We divide by zero. Sadly this results in a DivideByZeroException. This operation cannot be continued.","Try: ","We use the try and catch blocks to structure our error handling. This may lead to cleaner code.","Properties."," We next use the Exception type's properties. This program creates an exception by dividing by zero. Then it catches and displays the exception. ","HelpLink: ","This is empty because it was not defined on the exception. HelpLink is a string property.","Message: ","This is a short description of the exception's cause. Message is a read-only string property.","Source: ","This is the application name. Source is a string property that can be assigned to or read from.","StackTrace: ","This is the path through the compiled program's method hierarchy that the exception was generated from.","TargetSite: ","This is the name of the method where the error occurred. This property helps simplify what part of the errors are recorded.","Data."," It is possible to store structured data on an exception that is thrown in one part of your program, and then later read in this data. With Data we store associate keys and values. ","In this example, we use a try construct. In the try block, a new exception is allocated. Next we assign to the Data property.","Data can be used as a Hashtable or Dictionary. The keys and values are represented by the object type.","Finally: ","Next, the exception instance is thrown. And in the catch block we display the Data contents.","Constructs."," These add exception handling control to a program. The main topics include how to use throw, catch and finally constructs. These constructs must be used together. ","Try ","try","Catch ","catch","Finally ","finally","Throw ","throw","Checked."," The checked and unchecked contexts specify whether exceptions occur when a value type overflows. These are operators. They are uncommonly used. ","Checked ","checked","If you use the checked keyword, you can more easily develop a program that correctly avoids all overflow.","Data types."," There are specific types of database exceptions, including SqlException, SqlCeException and OdbcException. There are ways to fix them. ","DataTable ","datatable","Custom."," The .NET Framework includes many built-in exceptions. But this may not be enough. You want even more exceptions. We solve this need with custom exceptions. ","To make one, create a class. Have it derive from Exception\u2014the class is the base class for all exceptions.","Message: ","You can add a public override string property, Message, to specify the string displayed by the Exception.","Caution: ","Custom types should be reluctantly used. They tend to add more complexity. Consider instead just using built-in ones.","In C#, all exceptions must be represented by an instance of a class type derived from System.Exception. In C++, any value of any type can be used to represent an exception.","The C# Programming Language","Benchmark."," Are exceptions fast? Here we see a method that carefully tests for null (and thus does not need exception handling) and a method that uses try and catch. ","Null ","null","The difference in performance between these two methods shows us the cost of exceptions versus null checking.","Result: ","When an exception is not thrown in the C# code, the try-catch block has a negative effect on performance.","When an exception is actually thrown (which wasn't tested in the benchmark) performance suffers even more.","A performance note."," Even exception constructs that are not executed, and have no effect, cause a performance loss. You can change how your code is structured to improve speed.","Code motion."," It is best to use try-catch at the outermost block of loops. This is a form of \"code motion.\" We reduce the total cost of exception handling blocks. ","Exception Optimization ","exception-optimization","Optimization should not be ignored. But it sometimes leads to programs that are hard to understand\u2014or even incorrect.","Tester-Doer."," The .NET Framework uses the Tester-Doer pattern. This refers to functions that do not throw exceptions on errors. Instead, they return an error code and take no action. ","This pattern improves the performance of certain important functions by avoiding exception handling.","Further: ","You can use the tester-doer pattern in your own function designs. It yields similar benefits.","Is it fast? ","The Tester-Doer pattern is a clear performance win over exceptions in almost all situations.","Tester-Doer, Performance ","tester-doer","Research."," Exception handling is an extension to structured programming. In the 1960s programs first were divided into reusable units: methods.","But this did not consider errors."," To contain complexity, exception handling extends methods. It adds another layer of control flow. We attack complexity with this new logical layer. ","Exceptions in C# provide a structured, uniform, and type-safe way of handling both system-level and application-level error conditions.","The C# Programming Language","Systems expand."," They develop more tentacles each day. Error checks mess up code readability. Exception handling helps fix this. And programs stop crashing all the time.","With Exception types,"," we describe errors. And with their properties, we access information about errors. In the complex systems in our modern world, exceptions help contain complexity."]

%iVBORw0KG;)NSUhEUg?AIw?AB4C)?FqEXt)oElEQVR4Ae3ZsQ3DIBBAUfbfwxNcfR0dEpInIiOEI7Li4v0JXv9bnLS+dp3UIke13MFErxZXi7mqzR1MX9U6DAwMDAwMDAwMDAwMDAwMDAwMDAwMDAwMDMyPmLyr5Q4mRrW43vUo14uCgYGBgflDMDBx0mOYvKvlc5i5qk0YGBgYGBgYGBgYGBgYGBgYGBgYGBgYGBgYmHdiclTL5zAnfQArQiNkrpqF2)ABJRU5Er@ggg==$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIALwAvgMAIgABEQECEQH/xACL?ACAwEBAQE)))?wECBAUGBwgQ?EDAgMFAwgGBgYL)?I?QMEEQUSIQYTIjFBUWFxFCMyUoGRobEHM0JyosEVJGJjgrJDc7PR4fAWN1NVZJK0wsTS8RE?gIBAwIEBwEB))?ECEQMSITFBUQQTMnEiQmGBkaHBFLH/2gAMAw?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?hCEAQqHIwsoclnnkbLz5vzUWWW4S1DjfR1gqa4QvmcrWvdrafFLmqC/hXOrajzL6WImv2qkmaMcFTfVBFX054gIA5Xs/O3O3itslQGUhs/J+z+9cP.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?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?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?hCEACEIQAt1z8QAyFxEsv8A8XSWSrZsr8OZ/nZleDpiM0Lg0c+IckWQnz9dNXV46YLdXvr3tdUB6oj4AGMRZs421a/JvFamHJGICTjzfia5W7FaeRU9xeDw8rVqvryUePRtW1fr1ZW3Yej159qowOTu5Pn14bcu/wAHTRZ963BpfUrcmbkyQ52b4Y3FexYY+FvFMFldozkD0sj3vyvp4KN3UD0E/B3F/d/iiidS6kg/6wP3C+YLQRMLLLFn8pHNGQWA/SbS7uFtWu3ROnfgbxU9ClXKgecex1Uqh/V+Kz5ks5BVbGrEuw56qTXRmdRv5bNxeNlkeRte1MAmyiTePxUWMeNJcG+nd8j6u735v4MnJFLbIXeX5Mnq5mn6gQhCkqCEIQAIQh?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?hCEACRVs27bx/J09JqfQ/i/J1DLQ9SOacUfZ8XSnhi9X4uukFLGfV0xqSD1fi6povsaf9CjtcjkjBF6vxdboIhyNotjQxeoPuV7KVEXkz6l1+7Kh6KshCuIBCEIAgREWyizfJkqWlpppoaiWITmpnLcSO3EGdspZX6XbROQgDLWYfS15UxVIOXkkw1MGr6SAz69/pPo6wY/sxhm0YQeWlPDNTE5U9VRzyU04ZmylaSEhez9WfRdlCAOHRbJ4RhuztRszh4nDRVMc8cp53klIqli3spSS5sx3Lm68dtJ9C2D7Q0mF0f6SqaQMMpKeh4RA98FKJBCcvo8QtIXvX01CAP/Z%iVBORw0KG;)NSUhEUg?ALM?ABNCAM?ADaUqWo)GFBMVEX::j++acpJ3N+dO798PBz8Oq9bQ9PT2cwewa?ADN0lEQVR4XtXa4a6CMAwF4J52G+:xjdXS6Y7aMcQwvrXNH6cYIuAvJYuXmrpUZD7FpvNbEaz2Vxm4IGezAzMaMaMZmAqs8iMZjlMhtYMVH3gA2eaRfrNy1oZXqJLW: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;5huYKa1gn4TXG5eYedyJ0NruN9slZh53uRlf1mvGJWYO+jVmH5xyMzMfNsfcb8Y1Zt4r2gSAcPFXM6408z0/hZvlXLPvgDJgVr7nhzhmQWPGkDmNmdGaKeYgr4vNHHT/XlMK+@zbmOGxxyZCX2dWTZjtj2HmlmNHnMi89DJYRRz36FqBmAGSFbV5804s1IsMJcxs7zHDI85qrzzIRCbE5mHgs47riz1B+YyasZIzCI4aE5HzKJBzAF63FzGzZkGXWfpMXM5YFbeJ/3qcXM5Yg7WdsTWV7j+V0rFABvQjMd88+L/J2kCstKzwvsXPZOdLOY0RcyY+UVmJ6cZyPQ8/u7Fr8zMk/KSp4gZrytXnWy3DZcrPcgpyQRmeqNxAvMsJ7N+ICfILGZN9a3ROczqIWOW1fcAmwFd4j+yEVzwdc6J/)ABJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AHU?ABYCAM?AD86Ehm)wFBMVEX::b3+TMzMyYpb1jV1fD0eluXkeir8S+xc/e5O2QmaTy8/OgkVeMeFO1rp2tnlcxNjp8bVYxJROspI1mZmZiT0F0dXqLg3pETFIGBgRMUFXz+P/i8P/Ckxc5QEVLPz2EcEeVkZLUpCAZERKqnHuZkHrcv2D5434ZJhTKr1z11F6ftuL/vx5lfVbO4f5aq0ONxYVQZUvX5v/o03zswTv/8m/ty1UxjBcnYBtBkCuTYQ/432t4mt7cry6lxv/94kNGVDL7?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: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@ui1TDqepdTaGymqp7muprLoneYdXQU5Gqck01aFJNK1Wmqo4hRSpOWFWOorqVKkelwz8gNfDKkz8/90epvxsLOjviM5oYpDoNqOUpXNFUV7WAsoZUJ9VbEnnDqta6Fnyg6kLV7HeqO9da1wILeUeoarVUPkD9bkMNoQ4qVKePxun8cMOieXVDNO/rqeaQGp+YpuqTOv6/qzpL4qo5FdVSzQIwT43sbvBb9F+BoNKC/cna+Q)BJRU5Er@ggg==$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAK0A+gMAIgABEQECEQH/xABb?ADAQEBAQE)))?QIDBAUGBx?AgECAwQGBgcF.EB)?ECAxEEEiEFEzFBBiIyUWFxFCNCUoGRBxUzobHB0SQ0YnLhFhclQ1NjgpLwNvH/2gAMAw?AQAC?A/AP38)))AEw?E?AXE2K4DGIQ7oQAO4syEwuBVwuRmDMAWNLhcjMFygLuFyLjuAWKuMi5VwAYybhcQigFcLgAw))))EIABtWvwsZxqurJxjpZX11JrqcodVdX2vgVGOSK0+I9Er82RduVuCX3iddZsklblcu5lVWaL7+KZNKTyeWgna2g4yallbvzRrciVSEeZFWbjHTiRGnG3W1b5C0tqym3e0Vd+J0UpxnfKxN6swSVKWePD2jeymlKLJb0vHUcW72loybmjfUM8nvcDGti43yxWnOwo3a4BKUVxZtmC5lCrGouqx5gUtbMpWautTTMVmOfMXmNUx2NbjuZjKCxpcHJRTlJ2XG74Izc4wi5zayxWt+CSPltqbVqY2bp0244a/Z4OXjI1o0JVZWWiXFnHjMXDDQzS1k+zHv/oerjOkNGk3DCx30vf9j9WeTW21tGq/tcn8iS/qecdWHwGLxX2NKUo+97Pz0R6UcPQpK7S/ml/U+fqYzGYiVoylrwjTuvw1YvrDHX/eav8A3l+p0UdtbRpP7bP/?zSf38TT6g2hbsx/wCyOTEbPxmF+3pSjH3uMfzQ74afVWSXhoS446l13voLv61vie/g+kVGraGKjuZe+tYfHmj2oyUkpRaa46apo/Pj09lbVqYGap1G5Ya/Z4uP8v6HNXwKs5UdH7v6Hdg9qyuoYnVPRT4NfzH2AEQnGcVODTjJX8GmWeae4)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?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?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?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)SyeZTJY0MmXEzZpYVnfgUikZCsWyqa4lXHcndSsTKLhKMraWsXd31KzLI+diSZarVhO04dXUnuiOlJez8jW/gSybc+JMuwSr2Ky+I8qENENE5nH8iyJpu1uKHYZDevBeDKM2pXXK2pSmu80sWjWIzPMUmZygJooiRTZlKUszy207zLc3EtCWc2KjhN2/S3DdytH1jSi2+C62jOhSzRzHLisLhMfCNHF0t5TzKcc10sy4PiilRNNLa8zn2fQ2Z9ZYrE4SrKeIpKOHr0rvJDLwtG1vZPbijgr4BVcPXpYWfolavbNiKUVn49rldnbQpyp0qdOU3UlCKjKb4yaXafmPKRKy0HupJ+rlbwY4wd803qaAVqZZUDSsQt54PxLGFxtX8CYxd80nqyxDAEr?AIBEsoTGMmxLLsFojHczyjisvkNxFYdwuGTnfQmOXNKF7y4suzJdKMn496DzFK+ltbBK2eNuP5GhEacYefeyxMSvqwABiGSzOTXeasyTWaWbR359w0F7Gc7ZdOF9fIicVZOK15WNYq7lbsvgDpxj1rFp2KTurk2MsTiVh4Zva5G1pcWl+Zx1acauKyT7PV+VrlQSb63DiRWqNR6ujbsr+JzZcfjLzjOdP3bSyr5IwhiMdhKqjiM04S+bXhI93Isuq5GGKpKVFuVrcV4eRrGsm8rhHK9LWOeWHcVnjUlnWt76PzQovNCPDJJW08TRU56ZrWXdxdjLAUnumpa5ZvL3Wev5naomU3ldjphPNBSel1wFGJpYEijJsbdxWAYCE?MQg)?ABAM?QrDAYxchJF?E3YwsMAEFgGAhWCw?xMTiuaK?MutJvLolzCz7EvgVaUJPS6eug0nfNayXBFXJv53/ACJyytZoxr0HmVWHH9OZ1gJSaegSipI541o26y1MK7dZbunHT8TtdOHcOMIx7KGpJO9iHGcllctDKhR3VOMPm/E1sUBLbbNFokuS0EMAE))))))AgG?IBgACAY?gGI)?UuRQmgBhYZOpQ.?AM)))))):9k=%iVBORw0KG;)NSUhEUg?ANw?ABtCAM?AD9Ev9j)YFBMVEX+:/W1tLg6ube5eHe5+O7zsuDkY/r:vp9vL5:7s/Pjq+fTv:z0:3q6OTp5ODp/Pjm8e3o494BAgLq7eibrKnl9PBdaGZ0gH6svrssMjHo39rg7unj+fTm/fnb4NvYZGaF?AOaElEQVR4XtTYyXLjIBSGUe8uo2ZPSQ/v/5atIKxfFmCuKtDt/japsBA+RRmDTi+T0WwiaQ2ZSJTK+GdJZqe3LQRY+aYfjbWmJtc7rJLkZg0rMrT8kdnexyZTmpffOVQZGLpitOyGQrmUi+zLagNZLpSmhAHHJlbE2XykoMmnleVVCZejGWuQNTnNLrXbUDNAWweX2eCB0yEondjjctIathiMIhnSjATSJl9FnN3QnlSeaDg4EQs4vk8Wxq09ZPAh4AQknKLPSgJNHdwKo9eJQ/WCXvfMM1VwCZnaRyqneW4CjkMsjjOzbaElVahTos+?pzaRqkq4b4CDa54omc0rQEXFuFRYRxtabkfMKX7KapJ1QPHMRbHrQWoBG7i1/SKUy2cXZcNsnSdng7VTBBwfMqWxeVk9XHwqSo40LK4JgmJ1E7hU1W64jj1sGlOwAUiJg79DdwS78yoRYbDxaH6uBwKuKY9ghuAYwF1WZzRsKVkfNwsb7cBl6kejkUDLhS1qYZGc3O20jimDDhewPErjiMeDbihHk5XxAkOrj2E+zyKM3VwgtV/h0vbLvvEhYEb0L/GCe66ARfzbEg7nBBMWPndkkRgSx5UgBsGJwpIcRzaYRRcSzVwG5indV0MeNGX9jMQ8HGg+MCqhBP76Ts/UZR3HBe1Ic/zl5PiuJ0NN0dUDofnYwaM1MPp2dZhIkNo8X0XB5txrTxaR6rhFhvh5fb2/fOXbvZ/G6c2M3geEUbkqXDSLMLOupu5/Xm/fYzjeL2dHfH3bRw/zuSWTosjuB5vnL3NKe7nNccj2oycyuem9tTzLPNJa+WP5d+70824ZwB+s4PalnBr1EtuYa7jo6s1LozcKuD0HDnbr+uI5NzZfw5yuueD83LjSdQ0ArjtAeQPreai46iOhOGEhICPbamsEaZBJrz/W67rgqsSoszp1e4vjdRdnbH9UdfGrU9vcpFkLL8F0Bt9vcp5e0N4v3fFC5tRjLHB+ZxK19336y+0d1Ig0o2Eu7i6ySIw/QCeylhuloszZ/y7DrjjJudJwl3Dc3uWLtcv97rvhnAPfHrX56X0j5XhFoZ7jJXtdkO2X6kQ3C7CfSj8e0Ip4DPKD+6wVDg95N+lcIZuQLZtq3B1x5LxmSbHe07H7U8/VTbHKTKXLZfufme6/VUfnSZKFJUN7n4vW4Nb3eBxZB0huMuVLLixuu03cEHhKAQPuNsd2bKPDoPjKWwhRIK7LI/HlGHMhcJSdWN94NOf3gkFbuq5ApR3VD0qXBY4sRAc6Q1vEJ3hTo4LeP6N4JRtiAv6CNlkC4Qj1ACe4bpbZbqTOtH9joCvaJheLCohW/1MgyPLD9cTUDi2VDima4SNTIj/DocAgeEaG8TL2qISA5/g5Ds8RUEhVCnJqiCy4iFa/Uxi0QKZAlrgyEL1o4+w5Zxy9sGJheCixWMZ3M9wNuOqngpXSt4gciL04rgBhhCdhUsIhWCv8xTePnZ49ua2rqtUMoRzsSwFP0FwlITlD+oSYMwpUUERC8K9/gGCohk6C/fuuGjh0BXIxqVSUq6yIRyySVj6LeE50uihqe7a9wCVLyekE7aS8uihjlV7z4+qIiAdZUBu9WR2wVc2ygjHFoJTGRcqrtIZOFtOUFuDK2mEILGyXhocoj37fprm+cFW2DYPbHFVNKbhbMYLQtqFbfTX6XF0zHnaYGM6TFetJ5RyKY8AlYMteNYLiXfpD7pYJhJSnODOURkVLrOHrjr/OIzHfW4dvb+wlnltY1KvY9q6i4cTNrK0PPRHTA+eG0n9aWgTWG/+qMaxheGmWec/YXM9r+TiG1zUJEWsV4X9XsaLMKhmiR1REbhJx6Tp5fhPoffVcXI0qwdQm6zqiIUXDa6xicURXGObXavaDPfDLd7CqeM+w+X4EU5PuUqwqLf6B5rneT1gQZZOXZoPf/VVD6ZbICeCy6aFh9DgetmGPddWRThiE7jpE1z8Dred4QAf63G0nwibj4zHxPOfeSFv7fI9jJn8?I3H5G8E/+PuK7zpoWDz94xnLTwGDnnZNTsySsCJ4YvcPSPlpPGnwmu769XWn/tWVcAyvxCu0zUkMR7M3/uInpyURnG5MmAcPJjG8pYGLuqQVt4pDrDcGxxgeA0cBGO56S+Gc5wdmgOWk+ooGCxdMfj5MIPfuMWZbstmG338+FTIkNJ8zo5ZZNjBaDfKkwL37HLlcxwbHHDAbdLmCqcGM5w2uRalwsK16Wxdb@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@TlJfRl6fhW1rOchweTa/BTWUhf1kWzjBvbRwhCPXaoYhnftSTxiOvan1ROG4ibdxb0sMV0z1ILjNtHAHXhpUkByM/3hCCcQ2C1pDKQTHLMUsCraFI1zQlHsgHElpv8BpPRksXElbMAWbo9J0W27rYAZcd2T+P1FSLg6gTW0tylbIQN0zJ6+LEhyzuMMy+DHaFn7QXbSefIXTeqJ9joqlBCCn3H6722JBrxfja9Pimgvtl8wQNI4fpxZ+cTTADXZRfGKvtTHAZnupwKHpVE8ULgqbrScKZ+sJNYIbwpkWTruOdnIInr8FcJL6l+g0jpeGphNrQEdFzWNCofCwFm9auLhfaRcdvr7BOQt3rif4IkRRdho3wbbwwXuGG/o2RpshuVc2O7HKAzoeR5BF1RIHMKsIl9LumnIW7lxPLFwaB1NPGI5bOKPQrsG0cAfjKHCSDBbOeq6VOVyCWdrjiABkUIsL8fMjejDtdzitJwp3K2mLtp4QHB1+aScPEE12xAMuQkt9Vm8v2fRNBS8hF1i6qMCpxdlVJrOI1pMznLJpPVE4rSfUwivbfpPUl3hxcXAaZNNAv5hq5f8xjrKue07ryp5jlNi8sD4VTi3VJv2G9Njx62X+s87neqJw53qicHdTT+IQ3EZwUpFRM44Z66TZMaF/dU5CS98vPxPTk+ZqmX6w4bUlpvnKRUotsuh82ubtzeDOg4BE5a/gUgYn90eoEeE6iRfVpEk4+VS6pPOHaG4RpaYnsYj6cFp0OG9zWmXepbB9h9N6onC5SxtErifyXrUqs4PNa9deaacx1XaR7DE0OJe3kyrLevX6Qom1eHi3cOrpKuuk1fM73LmePFPBa4ijG0Xf0YWbzFJXoZun4ofmp4mLTonmJdz6WKK+2mRL0YyiJTZ+kbe3RW/bSBc8ainH6+4yzUj2szztCxXk+ALHiW7gchkhiN+lhcv1bkl5g35a+itgj8qjHwBgzInYUN3oATJ9xPv6AQAPHv7pp6qeL0pijPtSE7BABckpexiGUD/A9yeZ5AHEgmgylVitUk+IY/gO5wzbsGUPkQdAbARULJVu3DyT5cqUcpXeRvGH+EILkQsqpdxutkiAoiXoI7jG5tHi2YLLooVMCmfpir6y/Fotg946bmSoEQrBTVLh8+vBS8kiOXpJyV6kioOrELnj21Y+bspsRvSNH04hMd9oLYktY2bPxfgGt2hUfoPTLifgQ3hC4C63brC9wN3kDpXBOlJz7JXEziNVZGz+cl9cOhZ6VijZRPRFLKVZWFztLJxm7dU67jMcO+7Z0ELEG8ZyOI6zSekqnujO6u6CJnq/95dv8aNsvBWSXaJKTHcRG+TtUXiHex4Zd4YbLFygS4KtoVWwGLnwzkEdp8e8q4igsl8ZTem+yz4c4kYpq7UAJVw4O25d56dDOGUbRApHjjNuQzDnqM+sOzquVAQD90nKZfk+AhP8/SYQVmLKkIyB2KDCLY/e+G1aq4prUTm8CL1FcHTX19wa1nna26XUAn7ke+uvqo77pRrQ+aHtGSs3lxVuga5sCFdpHgstsBDaej/YTrpYBXXciprnFYVsGJT/B7gvK+bLq0J321wkOKufp73TtwovcJqOIayqHmCUK/n9u/47z/07uFxjs8K5N7jFfWALJAvnbKFRuJ8Otqwx+b+F278oWTTo9urlE9zjTmxK9tlzLrbZhcgF7XENAeCYILq/af+dbt0XjXrhD4nbI1yi62cBw6rwn2buIDWCGAaiqBYZHKlVB2gY8P1vGQgNgkQeVLGayd94/cBLu2LSxLPyrSER/ZjnY2azKOsU1tu14fHzW+ecj/OcTym2WqNSkUvlpezgMi4ImV601KfxULzU8cnhWj4HLgEauDTONhoIZoetAkMT0ZCneazzVLr9WmqBFurAr3B1m7M443H6kiZp1WHALpxFJC4ImYvSOQCvZ4fR8ThNWbQOzgS35sZ315HgpFqOw+8cbbhBZZCCqc4D1yBtZJCNGnDjziB7beLuTWW3/4DzvMC1AKEKVIkKCsCn0piy+V54HYXr14HVcKm8U4e/ppXea1MnA5Wzui/qisnZOK4VbQ)BJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AK)CBCAM?ABw4UGM)YFBMVEX::t:ri/PT8:6z9eH5:3S+u679uO09eG49uPO+u3t/fj+:7J+OnF9+e29eHM+Ov2:zo/Pbu/fjG+Oju:rs:na+/G99+W39uP0/vvC9+e69uTo/vjx:vz:tKpS6N?ADuUlEQVR4Xu3aB47bMBSEYRb14t7r/W8ZIAgGCba8jGjNEsm+C/gDZJC/n+W+eMIqls/BZTuhKU7BP2LGvqI4H/2+zNb3c7qDX+fo2zTFr7ne/WPI0Ye5Bb+POfowDb6Iufkw48E/s/RhTnf/iDn6MG3I5jH3y+K9aSrv11n6MLuDfw4Z+4osLr7t+UMeLr58fW8vvrZtz8I5BMP35uIrtGP7cPEB2NSqaYrC9uHiA3Dh/cNJZoTAnBUuvgyBKLAoBl5aAoiLTwe81AQPFx+ACh87o/dPADPzIbNVwDXpw3ktAq5PAHAHDYByn31U+9IRQLGvxWWnAJacDz9PVMDySuHQ1RIgfPwBTQCFPiQ1AdT6sI0TASPrW6CmCaDQ1+HrJwHGBQBESEuA8PFxIAHCx8eBDhh3U+JAB4zjhDiQAOHj40AChI+PAyEwribEgRA4rBLiQACEj4gDCRA+Pg6UwKHj44?Kn1YVkqBFR0HWmBFx4EWWNELNgKo9OG/OS2w4k7n0omBFRsHYuCRjQMx8JgQBynAsg/V7hYe+/JlPsRBChC0Xz3u/fNFviXiYDoQNEzr/f5V3z983BRguQXtzwneR8M3KxA0+yc/70sHhm5n7bjrT4oiFHMDDwYPzzjNdztNBfrAr3V43/W+mAx8rCY/mdD8fRzspgPL1hTe8YxZH+JgnA50gTz/4WPiIAXoFmZfvtMUm4aJgzTgpSGeMXxMH.C7RrB/onyIQ6SgfFEPGP4iM1BKtD1VqXfvR9oX43NQTLQdcwz3izZvW460DoMd79FYb8kNwfpQPvWWh78foCP3xykA91oP2P4iL3u64CXpfkWBl5gYzcH6UA7Pc8Hv4eP2By8EDhcrSgs4SP2uq8Duu1HdYIfd9uWeK/ptUB7f9F6H1piczAHMH6a/wE+Ow5mArrNpx/dEnEwE9AZ+U/EwUzA9TmBhziYEWjmvx0HcwLtw9COgxmB9mFox4EA6CoehzgQAI38N+J?DQOQyMOBEAj/404EACN/DfiQAR0gX/nQAt0C/ZvBS0QuxAiDsRAd+TiQA+MJyoO9EDXE3EgAtI33gpx8CXA8kbFgR7oAhcHeqAbuTjQA9dLKg70QHck4kAHtPP/bMSBAoj8p+JAD3QVFwd6YKyp/471QLch3jmQA9/uQmqczvkAy5aKAz3QBS4O9EC34OJAD7w0VBzoge6IOMgOiPzv9oiDDIGuD65cu0yBmP8U+A38BtZd11WSqScBlfNPArfbbd9XaiA7x8mAb+AP762/2hhRMXw)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?ALQ?ACsCAM?ADllnb2)YFBMVEX::6lbiX3axHPiH97gb7q161sqeYPl3/8vyEj4Td4Ui83XZvzfH8x7VmbFX8eob7/rLW5sn+5NiekecRAw/8xzb/3/vw8/T9/87/yPnD6/iV2/D+/um0pwjKyMj/svb+8CR)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:XLRxyRNC1qqTGtAUdeGGZogGM6do8bzkQCbZgRgUf5KBGVFbdfBfdw2njv7tko9lBAqeyMl5k?aUS8pmlOH0Jccml8i.IVCOgQ9UKiRcOpo9JfT6EZ/EE2KNUZ8NAHR3TKisOuI8UfmqAZzochCYIAeO5L7iv6wmJuerdo6uNNMzmnDcO;GtAj5fcroN5V0TDqSPFry+m5qShPoYhU9SZEfViojl1pPqjBmFYv2kOkom9HsoagSBqhuijzcyqQzzNfoVf75ppRD+UJQJxRs2+K6Lh1FHBbB2G0Jw8+MdAyhKBOL+ecu+KaDh1VK8ncLzk0AzrWTkFgqiLN+iO+7prOHVUeE8k4yU3kHUgZSkRCKKG6DXiwN6ZcUKS6ZLbzE00BiIRiIKm8UWDmVFHjzLwptbIgK7HQGQ9qi7yCTkv/i66YdTRm1c7IdMWcxSNgUgZ1F8PYPMxvK/xFGJvR8W62ofwC7SApkDq4gGck+o36s5TNJe5ET2OiqFZkX2FoYs5+vr6Cmnqp46jYIhmxQFsYoZmnBMLOooOhwcvKQbwp6JTFjNWpXQIoRlXG79zGf+gOzxV19JcxxItPBVXVSX0hYltzfrrqUWsXefF9AYxxhItfPXi742NpTl5vvQAPPJq8lrVrwj1Ncc61l3xY3590blqxl/XDcOEHkVRTNdcjifGUzQ/DjCD2qUZ0BoYxLRql42qEQhLNP+L/7elGTsQJuKI9NT5CPaEGyMQf+gjOw6sdiLrqJ: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?SUCzILgDBIBcORPxWAgHJOCRRXtzBeRjjyC6OQQT0HIeWUGSwdBogRjnxAhFvb3ygY4cjfKBgy+xsFT2a/MFYhHIkbBWEP6hfGKoQjHxAhg/obBWNB5wOCR4cCMhD1hXBkFEYrg/p9oGQh6ruFccqcxyWwYQEy8glBY+UHVyE2m4AIMutxT5HZB6Skn5sy0pz/eQEivnC1LJWQEQ)BJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?ALQ)9CAM)zrLMQ)MFBMVEX::i4uK+vr7Z2dn7+/vDw8PMzMzz8/Pm5ubHx8fr6+vR0dH39/fV1dXe3t7v7+8OWlUt?ABXklEQVR4Xu3YzW7EIAwEYGz+SXb7/m9bteoBVnTq045VMddYn5xEEJzwEpGn/kREgilcQ4q+pEgCMt9IUbeJN+DJRtNfI3udbqRLQQp4UDzj7gqTawBhGLgWd80zUtc/08HbpRgPNaSEfUjGWOUu45toYlr/JKMvpWNilvKcwjYUo83qY3VqNjwmhnGttWvqBPWwD8FImJSJqmEbgjEm8QNbLezzdmO+hWuHFcPaf7sRMThfj2EfiiFf6aoJ7PioabKBX8sTlLkyqmGTdWdEw3blzWiWD4Mzo1kmJkeG/bDDNfD5dgCVZ+AZMwLVjVG7beigGniMKAm4Xgyx1hKMf9zzBVg3xlDbevVk3Nk49vMN/98UlA/b/zdfRjT9fXNm5On+QK0ro1pO296MZthj3BliWLBcA6+hBEyegYszIJ0Z0TJA8o3TNN/wn5OTs3tQjdP0afo0fZo+TZ+mT9Of4mQgBSW24WQ)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AM8?ABwCAM?ACOw9TN?ABgFBMVEX:/8?AC0tLT/vhr/3IXU1NS5ubkTExP/vx5FRUXe3t41NTUmJiZsbGy1tbX/3orZ2dnFxcX/wyz/wCO9vb3MzMzt7e22trb/4JSoqKj/349WVlb5+fnW1tb/1Wn/4pt4eHj/y0j09PTp6eni4uLR0dFiYmL/5KKDg4P/zlT/9vz/6reMjIzl5eX/xzn/yuubm5v/2HTBwcGSkpL/0V3/2n3+/P/x8fH/6K:7cOwsLD/5qj:fn8/Pz/4/T:v:bhv/+fv/qBz/5Nb:vv/1sr/lHz/x6D/pKf/z/T/jDD/fkL/zZf:Pb/r8L+/v7:v7/oNb/TbD/VrX/hMv/j8:HJf/G5n/2O3/yOf/csL/wOT/icz/LaD/Qan/xOX/6vf/y+j/uuH/ab7/N6X/s97/rNv/z+v/5PT/fcb/0+z/5/X/JJz/lNH/7fj/4fL/pdf/7/f/p9f/9fr/H5r/8vn/9uL/3PD/yen/+Pz/89f/+/7/8Mv/zOr/mtT/x+o1H6di?AL9klEQVR4XtTYZZLkMAyGYV/RGGRopsFFuPrK7a+2s+P8noreGzylREpFrLpULLTbiaU6n1h3iRFxslpi6sRnVu5ZAslkAZQmobV7CBR7FkAdF08MkglADD0ARR6A2HkAijwAsfMAFHkAYueJQP?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;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:6T/qXVOPsKyTx/a63j1jphKArg10IdeeaOCc+OEAdBqwikIPO/B/v+X2s5XhujSNhaeoAre8W98yO3ofTvKSTKlckHEk7/rdl0QvgWorWuKnUTU3u7m9k8Nf0fkpSS+tf7J/O8+Mm5hmarVFVpTRLe/u9DmWF7kqR0Ct/uh3O7nAexOQ9iO/EgiedlnvyyzLMx9038iGkEtKwcNjSpg0cXkj718MHj3wHmfz1FmfMgPvEAtHraxblJRHMp9c2eZyk1gTM6ssLZPLf4zYcydeIZio94WEfxtYcVprryPI8M0OQDaXklZEbq75gPQoQz2gGc3VNi11QY88GjEo:kId6eUTPGUydPKKHYsw4Mv8mqkGqCVkQahcfQkjQgGPNdjzb6wtqGVn1tG25ezhS+nO7jCdVJAd87SmOHrYB1BK1OCV5Z0KolQfCwlHCiR6Lo1nLdwePTtvEn57aZT03TH32nPfN7h5snHiUtXaU0s45QhzymDEFOELDK0eBI54OEjNgDse2mW3JeLK/P6nnvMICeveoIJLSzEwI72kIsSHKgFMt4IhHJKL6tCd/v6FKeX2hnz2sQrBv1o6jJ2SMWcS8rtq9CtE/d4+RqxqTE4/DyO1bbJf3eMqfcDFHoIDEM1fBY4geNsRI/Zi7eBQyrFdBo+OrXMToxNNjHO+Dk+fzfx+QDUMlHoqpqxC1pdnrkw/DbR5s2hs4+mW/HnWx55a09cWn72sk6/GYfQQmnm4ESEzcJh6D+UJIhZDcbNGDO+iqLfWJZ/gij8EsL994HbUWEb9RUv+OWW+eQCEOHLd7SjgUs8XTp2V8Usp/jWfAdNdvdL8npbWa6o5Szw/MhRCN0BNu8dVTxKY3kuNQqadPS5Ws0cUNZ89fcGEBkgbGb70)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AIw?ABpCAM?ADflzs9)VFBMVEX::2+fju9PHy9/X0+Pbx9vTo8Ozj7ejZ5uDP4tmwz8Dd6uTL3dTV49x8sJe208Wuzr/P39drpoq61chopIecw7CSvahgn4F1rJFjoYOAsppyqo9IgRfD?ACtElEQVR4Xu3XyVKEMBSF4cxh7Hn2/d9TrtE+VUhTaJrcLPIvLGXjJyegiq/0ZfPIoIBRt2sOBYzLCePzwZiA+bgwtvnBaNES5iylYUlrLbffGGnlF+YiteJKNyPMWUjNkh0wu18YprTNCCM1PwZpZfLBmJwwumAKpmAKpmCSVzAFUzAF47oQvlgCcEMrYtxfMBboVTBtTpguG4wfDCoXjCXQNMb3g6/3Iwo1Bvlq3/Wti8aIfdfVwFCghtw8BnP3Jhbj.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)ASUVORK5CYII=$/9j/2wBD?cHBwcHBwcH.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.@.n/wQARCADVALQDACI?RE?hEA/8QAXgAB?IDAQEB)))?ECAwQFBgcIE?CAgECAwMG.kIAwE)?gEDEQQSBSEiEzEyFCNBQlJiBkNRYXKCkqLSFSQzU2Nxc5GhNIGDk7KzwvCxw+Lz/9oADAM?AE?g?PwD9Ig)AHnOK/CfRcKv8AJvJ9ZqrfE3klNb9n7u667Tpv/Znoz4/ZVbVreKxbnL8T4g65bd5t9Ta9X3CJnB0OHaRNbc9bdoipX8Wewv8AhloqWX8x4lb0q26qvSfZbfra+si74X6OvZjRcRs3ru83Xpuj3W36qvrPIFiu6TuTwTS9eGsPXv8ACvSqtbRo+IPvXMwlem3V+63514zQn4a6LZS/kHE37SPAtek31e7b+e/7faHFU5NPeNxevgulaLeqw96vwp0s11vGk18y/ekV6ben0vzrYbyceo2I/k2r6vU2Ub/reePGUeg7lEdxMSaeo4bpqu5rD1Gm4hTqNi4epnnpW2FVvuPYh0TztCrvomc/pq8Y9rceiLQcPUJCPiCY?M))))?APj71XV63ivaZ6uJ8Qdczu82+rter7h9gPkj13LrOK9puz+UuIMu6d3mn1NvZfU2FWOzwT+1PP7Mxl1WZmFiJzPKIiOqScHR4bqa9LfvsSGho278dVfvKVPTWvKo8qu9jZo4PqWiGeVr+bxMaE8C1FUbkdLfuHpNTxSmloSvFrd8znpj6xXQamdZp0v7Oa90t053fWUnEHKXV65Ee6V2K:AH+IebpVlaVaJWc4mJ9B26PQYuI1quoR49def1C9HoBe2ztq0s9s7NMLvpzM/pK8Y9rcd889TKy9OZx5yvH0tx6DJaDzmqjzhaAQSSao)?BWWWO+Yj+8jentL/MEZLgiJiYzExP7gCSQ)AD5VZMxq+J9q8Q35R122Hbq7Pym3Z9TYfVT4/ZTe2t4q10Nn8p8Q2b42+a8rt7Lb7mwhjscEiJ1T5b4s2Zer20+0pHaU/rE+0pptT8xiar5ih6uKkn1j1XCtJVqpe1mVkrnG2J72946+o1FGiq3vhY8KIsdX0VU4XA69f2FnZditW/41Wdt23Z0qj19BTjS6zdR28VMizZsepWXqfZvVld7PZJ9ByLKe213Ytd0/xP8AvnDG+qfVXTa31V+RfZN+iTiU+g6tPoBsX1wsbI8J2qpWXozO2O2qmPnbcnSekiY+WDydeGejLQvnqv723J0np1iS0Hm9YvnDPE/OWyUiC5JozBOQQAVJI5AxsUZsFZnBrXukWLDMscvTJklEiXiJ5pGZyc/VI83I0JLRCr6Ny+JzJNl9kNlNu7vmFbdJsLzSqYYwb+b5U6FUxtnnHf6AY6IlU5xOc+kGFp5uZonkbQAJLg?A+dPVY+p1+/P9t1e3l8X277PuH0U8o9btbqWbOfKL/Rt6e0fYRJv8Os7K55/Znn2o+Y1XpPQvTHyGjbV38iuD0dWpyZeG8Ro01Eae7KbJaVbazLKu2/1DW4txGnVqlFOWVX375jbltroir9o0ra+81GUjJlr0tE3+U+sXrOnTPcctDoUz3CDJfHI69UQ76fqhfP1Nz9OyxOk9Yp5Cpd76bnC+fqbn6djb9p65ZgvB5fXR5wzQXKRMFoJOdJIGQCpEmNjJJjYxv3FWPO6+b51r1zZbXR5LU26t2qxZ29u/qT3FU09JrqbMUrbq8WT0WWWWdbJ+qZ33mbiUvPEXreZWl9HXETPSvaPZqN+339m05ml0l1fkqWW09jp2Z0ZZbfY27ecpmiLrYazZ/8An/uHOZoi62Jb/vZnsdE3m3xvbZYy9bM/qo/if6QMfDnrdL9mf07bp+Vuzq8P3QdGucokm6nNEk6gANgz?ACTUu0ldzb5axJ9zpz9s2p7ikgmJmO451vDKrOfa3ry9Vq/wABp38Gpt+P1KcsdDVr9brpOw9ldcxDOqzPdDMq5Imf5AyxdZHrWHl9TwCi2EiNTrK9sYma3oXf7zb6bDRv+DtFi1rGr1tcpGJat6N1nvNv0tnX/D7M9g0Gu1YxBu16myY52Wdf7Q8zPwb07VVJGr1yykc3V6N9n0vzU2I4HStSJGp1kSnr76N7/S8yeghOUfuGzlIxBedRZPfZZ/mHN0nDqqXSyXttdI6ZtZWx721ErTedxDAimwsA1bGyZYJmcRMlIkhp6ZJg1HnEPJPaN8kT/cVW1t8LMRzIRoiWzMRGPTO0xRZutScY9H3S+DTayY2Tu+MNyZKyRkZMcrkzS2TWv0el1MrN9FN23w9rXXbj6O9B+T9DsRPJtPsTwr2FfR9FdnQbZYxbBERJjqpqpXZXWlaZztrVUX7KAygtgvgsAC5Y.JAInuKSWnukx5AOFxKvT0q/jsutno5934zc0NdtOlrS3xxu5Z3YXd0KYNdVrLNXpnqSpqlld29a2aOrr8fX/lnQaQWiCY7p/eUmICzyn95jZ+ZBnRZMsRHImYKQ/KCd3IiZLYktEFzGslp7iJbEFZgvmCJ5xMTkRETEfKI75IhnyhRliYcpNaz6WKxWqtDRM5gzYKSbESc+ypI57TWbW1x3w38l/GY54nRHq2fyX8Zj0cJY9sMitEIzZZd2GOdr5iLViEVI7NZjauzf7231P8A4NpK62fZKnm9Vr9bTpfK1sr29p2fZ9n+07M9SpkMamSDSk9ShYAEGQ?EgSCJAImMxMFZT5/6FyJzgEwYZr+f+hhav5/6G0YXBkWOZpt0xMZyar2czZt9J5Ttrfbf7TGrqNTFEpErv3nU0tHaw8+wemV+S/uMu7kebSy3l1v9pjfqd572af3yUjUw3ql7NNt9Y7CyZu80Ulpjvb+ZuJ4YyZFbcaNi7TJET8paImJzJBaDLCxnJgmSSMFoJwZcmFlycWNDrEzKWqme/a9i5+4a9vDNdc25rUacd7vYzbfsHosE4NiNQ8c47P/ACzhW8C0lsbGbU7f1flNnZkxBYjBY15O0sYJABBI?JBEkiQC?CYKSYmgyyYmKzOC6mm8d55FYPZtHM8hWcXidsQ+n/AMT/ANZ2dA3Rb/hmnqNJq9RcipZC046o8OPpe2ZdHDafUrSj9pG5Vnb4Z9s2tWy16O5ps7LK43zu5b/oE8FpoilrVdbW3Y3RDLsXb4drmzp7c05nwlb268QeirWcG4sdMGtT6TcWOUG3VETGTRtnmMFgTgzmCZJgtBBMElZGCcCCYBSRBIAIJ)?EmN7q652tPoz6xTymj2/6MAZgUSxLI3LOYzjuLgZKSYmMjuqLLtOIjvk1G1Wnn1/ut+AxurzHJTMiy3cpM9542ue49at1VjQqtz/cymgvCNNE8mt+0v4Dz3EdNqbnq2L4O0/Seb/VnS0tqURbFnrnItoq1dLUWZ2Nt91oZPWNrQ6WnQ1TVXu78yzzuaWOonDKPat+0v4DNHD6fas/mv4DLRptdCbPV/iEWX6aZz/6ytDeL6pvJ4YMVelSvOJac/LK/gNhYiIiP/J19PXYiYc0rXRp6RgkkmINkw5IgkEggQWggkFQAIBBI)AOfqts3JnONq5x7O5yltKJXvjd4sRmVM99djWo6xnbC+lfFuKOmoZZSUWImc8tvi+2SVkyaT9G30v8AihsmvQjVpKtHrZM4Iya+sj83s+r/AKkNCrSJZUj5bOerEr4d2zpOjqEayl0WMz0/6jUVdWmyFrWNkYjmvP75lT9HiG2G7S8xXiG2N2hrVVqurhFzhZsj3vC509pq1U3+URa6Qvimea+ydDBr31wzpJNz5lOr4sxxBfBIiCFXBgmSMEjBJcjJGATgYBGQS.Q?CATBEEg)SC)VmDXuiZ2/WNV9yysRENzx37cG+/oNeaoznPpz3GWGnHI03qSbnli9MT1/VN;nrFyjc5NmldtaQCMEgqZskYG.BkjAwSACMEg)gAn))NOLrXqruhqq0ZVnzkM2G+lvrMss8xDq9WzHpjd/zNR4e2vR3bOhZ3NWsf8S9VU9lqN0dmtjNMQ3ThSCDfABJI)?wQSACASACASACASABg))?AGis4aJiX258GV2R7vgLz15zL4n1crt/0CqI6uWZiOUGRoxK4iI5fIa6s8xmWMCs8xncZwAbBn)))))))?MEU+9/Qv2c+1JkBSK0gpFaQ?XLg)))))))AH:Z%iVBORw0KG;)NSUhEUg?ANo?ADOCAM?ABvhOxk)wFBMVEX::08+/19vTv8fPt7urj5OH5+fjn6Oj49/fe3t/49/X+/v78/PvS1NPz8/jY297p6/P8+vb7+/v9/f3:fX7+fP38NL49uz:vvBxcvz8Of6+vn+9vn:viytryXnKNucXb2+Pn5+vve3tjy9+7:PAyMjL89dn9+/P/++n839X79uLy7tr:/3/+uT/+dvg3/X++fv:f307uL/99X0/vT389/97vP:v/99tD4+/b7:vq6Mj4:j6887m5MCepJfd?AJX0lEQVR4Xu3c527jvBKAYbOrd/de03u2lu/c/12dkWyF8XqwcKpNQe8CK+XngzEpWkDS+KSusBqHqqbVtJpW02paTatpaV5izZK7u8HdfcNtBLYymqZh3l0yu7MCaDAY3AOKhaHpNDdNZskURKD6FgQRC74N7t0UaLbhtNSbTacg2xRFESdESirNpyVSTi1KacCKOOs9cN4jUxpVYGp/fhbRoi8/vywWdMFkaj7N/fXrz6YvRcUtmzYi33xaydL9+cKsjupWg/al6jQdC4AWVnNqgZvTzO6X9+RaPNkWEc1pMKDOvl0d36kXnthQkMfWBQENGO0ALYOWSBnS8ArpsDTXTcu8stSjNAXacDjMsAyhIV4IaKKaNJfSjom0mqaOi1ZPrf5A2hWlpcbR6qlV+DRSiakVZ8ckSWZP9ftJP6jCWvOkRWkQsGdxzphTBVpfOhQijO;lZ7qigp8IBP4CErZh39QX1pTuKTKN53muh3QFV/SNiUSVltypXzT1xoXoe93u93RU/OT1uXl5Vdh/NRAlrvGupHv+/O5EEINIZSxW9ZpHAftSg+ABpQyBQk7DEMbCv3QFopHjJ6dnV1jnSEtsQF3XKT3dCBpmmNJygIWMaa4UoBkSkSKMUZpExQ3WCj3FOmwNEICcHC1FeeMMNZ+ES07OppDKQ1owLYiecbTpLPJctpbEWI6Tbe8RqppNa2m1bSaVtNqWk17WTVttekftNWmA9NqWk2raYd/gdBBGpa0M93y+nGrkvZjt5NNZxcnT120kWR/twTjHhvt4rSiNJBlYDs6mhahNN0PrFKWga1itFKmbdWhlbI4Blu1aOXMmqQJNgO2kf1pIFvnEAdsFaKBrKzNc1tlaDenmY7wJtgqQntcapi2VYF2A7KtKJNgM5+mZTqaz61tLg2X6b0kbhpOAxkWV82h1zTvkY3LFs31tckd+IGTf;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;dgk05pC4BmZVpm4FrTc1M+2OJmDLomV1HArFjLTKRpmxC5LX+qZW0hOKPNZi6b98yhrTb9bROKh8V6E9zhahFFpJBdGkorLnqfjEaTSdcRc+6QBS1kk9XKaJq2dUeTcZcIEUnqFDNbGU7Ttm53NIYzl7oN4@2aSwN2UtsH2xOFKxlrVbrwWSatnEFzcfj8PS0lB0bDWbychr0tadAJ0bjec/PZR9IG3yDBrj2XWh/CVv5dxxOYGK+D7KPo91/23TfyYa7Lc+QboqAdqN7RB/ZrTygtZ51eflAOGNU+b643ITTrL9dliNRGr6svj3VyZ.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)?SUVORK5CYII=!A%iVBORw0KG;)NSUhEUg?ANw?ADmCAM?ACJZRt4?ABgFBMVEX::/+vX/+/j/9/L/+fT/8ej/8Ob/+PP/9O3/9vD/8+v:Pr/+/n/697/7eH/+fX/+vf:Pn/7N:/v3/9e7:fz/6tz/7uP/8un/7+T/9e:8upxhcZ+kcx6jcqgrtn/+PJ0h8eptdzY3u:6NiYptXK0OeKm9CDlc52isj34NLBxuD78evl6PP56N6yveD/5taRodP95NX35Nf/6dr:/754tT/5NTU2ez/7N7Q1urDyuT89fD749T84dG6wt/68uz/69/68On88Of45tr78+788+787eT88uz859r/6tr+8+zc2eLt4dr89fH67+f359725dr66+L79PD86t786+D23c367eX76d7k4ef46uHh3eTt7/fy9Pr+/v/s3tb3+Pvg4/H5+v37+/3/+/rP0+ba3ev8/f7s6+zr2c3b1+Dy6uT/7uH24tXs6OT+8Oj239Db4PDx5t/99vK2u9j9/f7v6+fp5+3s5+L+/v7:Pf+:9sgcT:v9mfML:v4+LwyR?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?zCdbXKRbHYhU27YdwBr5fDmXu1JumDb+xKQ8L5WQRrxMXEedfoJOsGWVPr1wpEsM4PF0ZFmLi7gLGWhp0BqA1Q8PR6PRYT1v0FBinlbD2ZTn2QkxHr9SFOedGsdtmVD4XNH7w5SNwNOQJdIWFzVOs586xt2H7777zuPHu/vo0m7OACTtpMM5Dh5qNj3PiNV00lXoaL3JsvWmhDJcynRnYMtEbSVVsfrDatp5+vTB9et/QZoIOPr8+vUHTx9t3n348N0PPrh3cOP4JrpUN8nSjGY0DdM0Pa/ViNYyDccmnUwuEaceOuC4TQ0EmloAznacR08fcJ2McK9df/vBA9juPnzrne3H9w6Oj9fX129eGrUwFJBEa7Xg8rx8OVq+0YrpiAdjiY3eKXEVwpWiq09RH/SHjrG5+ejWg7ffvv7aa0Hca7C9/eDRozuvv:WW9vbsK2v/4Ru7jYw05omKLHyec/L1WNB16SZaYV5iOvOAqdEcYqu9YfGj3c3N2/dvw8deCLgYANuk3Afbd+7d/BH2N57D7i8aWDcEmT5cs7z6oeRmM5wCCfSWUx4Rjh1Iu7OHaYDL4CD7X4AdxDEmYbZiI0c2YADZxSI6bB+NO0UdDJfp35zfjgxeNc57v79GO49wrUMoxGvXK7XgRtFgi7XMB3gBlYo0hW/yZwD7hZwxOMBx2y3bk3AmYm4HHCjWPV6Lh/HUcBlp4oz7959XQydTOJef3+aOGX6uNfZ0AV5i5cho+4Qbptw6+uwzRHO0vp9H8d0sssct7l5gvvj3OK4LuC7epVkZKNDbt5wiHBLffPhw/ffhw48+ERXr5Js884d/5CbP1yBcC3YmA482fIyYKCRDbOSr+FzhksRztfBJ1u+BhiCm89Kibt0QXF/kv2d9fulpT/zfh9uedm/g9969dVXP:8t7LPX6VHkvO838bCw/gj/0TiL6f74vMfXrAXwO0tvQlZ3HftGlxI2k6NgyXSmeKiYVru7eXffWd7+42PIu3s0O1b+LXNjzg2K19kWgZeOefKDSONaWmd4zEHXHtlr/zOB9tvoLBvOPzoIzy0jd6ADUfcC+EOg+UYrnreOA2baW5/sH3vTUQ+2XDI72DYpO2X4qSrTgmcZun6tHDZGE7Xqqsrucc4ySadDNh+n92hDrjtl+KCMGHLm0a6rQ2AC+TjzuhkVU3AdVfrj2lkDpAkHhwsLb1JD0IGmrTxda71f3Bu/YmUAZa7ciWfp9M54OjiYZCnnA1uDFyCTqv2uvXHNDTR9vZwc8A6ZtdOBO6nmyOcp5omzk1juFyu7roCdft2mZVHJm3N0ax.Ymmll4Y5z0vl+p0FtZ6vW53Fa1MaBV1u73e2kKn41LPe17xxHjmXhfPnVwX4UnXFhY67oSn/fU4qWM8AJ/3XyFtz3/ahef+TyOgeOIJuFNdcabtoHpqYSG3f+MYk062vo6Pbvd4/fjGjRv7vBvoJuvSqNxo0FW8fFJl18X8HP6V9wq1sbGRxjpg6SpK2jBdO5Pr6ZloJSXV6eRG+zdurkfr9Y5B2t/dDwTqpUu7dTrWCFfOBSsz3B8IZwrZhh8tcbrCKUlbaE+/m6EWL1PUXDdfhy7W2tr+/u7uCB+0bI1YuI9PcoRr?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;bZmqd3uiSgCmAnOqgIXDiyGA9sWq5bCZcyWLQHHbcAxG1vkNU3pdscXBlcBrj0BB5kdxqmsbBa4LHPKSdlmr8wIV6vN.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?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)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AK)CFCAM?ADrcAOa?ABgFBMVEU?AD:/9hY2IbHRqiqJZ7g3iPlIzu+9v6/ejz/ebv/N3+/vbn+s31/ej+/u/q7PT8/vP:vL4/M77/dtOUU64vp/7/frFx74uMSzc9dr3/fG4s879/OTI0OXN8sPy9PnI8Lzx+/Cn2Mzo+9jbxNbk6PPqycz77tP7/dTw/Mv26ej88t357uu/x+Lb+b3DzeKcweLE77zW3Oz99+vFvMf779bJ96j7/u/U1NTk+ce4w97f4N82PS89OkD4+fk+SD/C2afa4e3b5MTl6tnq8Nzq+ern1eX99OPK7ML:O/55LjV2cPw8fjw5e/M9rzr3+qq7MfT9s3x3t/L5uWw7M7k+ODE3trizNv4+8blv8PP+LDV6+rTtszH8Lqt2c/y2s7HrtWhx9zC8rG13tO37tK/8a33/Mud6Mrn/bv2+8SfzNr79PL9+O389vXy9Lzj8uL558Gi6sTlu771+73Qscn++/Hu09XOstLQ7sr44bDB88rCqdXm6rf19NbP+aX33KQ7zRWn?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;0YJuWFZjGQAMWcRPAddRsNUVpBJinJ4WgrECEK8EuIyFwhwBzLQDVdFo9jgDgPST65MLaWgPALbq6lHCbFwmA+Pv0GQK7GgQmBWUAOHaPbfL1FV7fiQ+sjU7wvjv09g6/DByn780x/X3l9XeiuphcQBjfcx7wPhO60wYg1BJQpwteXiCcFeZkBirSAT0ggOUFQg0D3wqygc/Y5h69E1biRxm3Z5;8PLeUfjFCt42CZx4ymti4unEH/woo+dHuwc0Cty7TdpjahHI1ijwAQQT/DaBNQx8KCkwIz0QDguXZAb2SgzcgANrVWbgAgZelRT4JwHmJAZ+gqdvBdmAkEafLNw8AyCpUeAPotYx0CTAl0xzXU0DqQrzemh1h4XLTGKgSp9u7Z4G+O4Y2NKThYt2YqCJgesYWGwSuNrKs5lGgDrCZbFQVqC9U3dICvxkb4TNAe2ekOBE/QDqcS2Si3skYDUCvLMCy1hWoEr/0tQpK9B+tvBMUuCGfRNKChxboc/5d2UFGhio1eAaywOExjbgOwuF1oDOw8IvUA: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:k7ykYIgx9uEsJBIGPoqEwTpYV0J5zjFE/wXzd93x5vnhJo)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?ANI)9C)AD94GjJ?ADQklEQVR4Xt3awW4yMQwE4P+heLq8VJ7HZ5/nOtf8DS61QIFJCt0I5kKlKM1+8tpit/3XLiEBd7cedwfYVG63kG1/WpAIt0H8PosYb8G0Cp7Bi0nJGcRHqNT8GsWrQ19L4ggijpM7ZGD2d6Rm6ya5Q5foWJI26R2qRAeTtMmliaJEf0ty01kmmSjRfhKWSRAl2k5y0QxyR248ggTLeET0RpDWu4lmh5HcAbJlCElyAPzZROi5DDuKRMq5dHsm2WQNMFg+inQvy2dStN9+EkS3q+YfcHeTKEiqTKJK2EBqgiR22Hgtq/4eJH9A4u0A3X3j4QlSehOwh4Rfk/yccaflQ+XuIc550t1nb2RBDiHpiazDCwg9Q7GzbSPR1o9EiHAOR+Rw7iHBfnffdVAtp9OpfOXxLs8cQKKbrY9wdpGjgyJtluR/QYI9SlsoUj1NkvATdx5NmjsQWSTrQFVbRtBzNIkr4w5fonoNsO+CfVu/f4yOc++fxdrtQrRk8QvAajlvsBaJX1fLKRjlfGp8SpLPipJUNOk2UAs/HZr6SJDqComzjRQmlG6qWCRVtVBPpUSdxqRYwJcRkmSYFQWpA84qihsPjdF3/aOohUgNQ5LKmRwWno8qLxkPud27qZwi/pBkeYXdLBauCp56XnVW3H9TJIMWJQm0GioqkiVJLbQYD9ckC07OhzJNMmhRmtgZHVVfSArP@TN1JmYJJkUJSlqw1eSAlfM6l2Sd6x114XEqwDDMmmRhWiKRHKWlM01IKXQY5T/Exe6+Nre6WZdVHM+tNDZmJQyRcIdUjZTSZJ+ujDO0Xk+PFLytIggyRsvBkQdkALdlz1JyoRJUV5/PlvYkASgWwCsjYcyIOUhLUmqANCicHtM21KZ8Pge9xSJtWuqlXukFt4kyTL5VI1W4hlne0WilZKkX+Rp0WZStNIzJKhv7Mc+1UbnrZCUaAHz+tcp+QVipZeUaCspW+mJiQd77pL2v+Y3vFi0/524cV60n0RqUZK0aD+J8XwNkg/+om4Pvv75newjDS5PPAPCprKVpMOPI3l7JxJmSPw4Etqnkbx9Gsnbm5Fc33XvRmpU/yf+fqQewsX/5r8bKUIiZe4A21vmP24hqdv1SRFy)AElFTkSuQmCC!