["$ lambda..G$ ","|lambda, List$lambda expressions$Predicate$lambda syntax, method$","EONYVConsole.WriteLineVNNusing System;Nusing System.Collections.Generic;NNclass ProgramN{NEstatic void Main()NE{NEEList<int> elements = new List<int>() { 10, 20, V31V, 40 };VNEE// ... Find index of first odd element.NEEVint oddIndex = elements.FindIndex(Vx => x % 2 != 0V);NEEO(oddIndex);NE}N}NNVNN2NNVLambda detailsVNNxEE The argument name.N=>EE Separates argument list from result expression.Nx % 2 !=0 Returns true if x is not even.VNNusing System;NNclass ProgramN{NEstatic void Main()NE{VNEE//NEE// Use implicitly-typed lambda expression.NEE// ... Assign it to a Func instance.NEE//NEEVFunc<int, int> func1 = x V=>V x + 1;VNEE//NEE// Use lambda expression with statement body.NEE//NEEVFunc<int, int> func2 = x V=>V { return x + 1; };VNEE//NEE// Use formal parameters with expression body.NEE//NEEVFunc<int, int> func3 = (int x) V=>V x + 1;VNEE//NEE// Use parameters with a statement body.NEE//NEEVFunc<int, int> func4 = (int x) V=>V { return x + 1; };VNEE//NEE// Use multiple parameters.NEE//NEEVFunc<int, int, int> func5 = (x, y) V=>V x * y;VNEE//NEE// Use no parameters in a lambda expression.NEE//NEEVAction func6 = () V=>V O();VNEE//NEE// Use delegate method expression.NEE//NEEVFunc<int, int> func7 = delegate(int x) { return x + 1; };VNEE//NEE// Use delegate expression with no parameter list.NEE//NEEVFunc<int> func8 = delegate { return 1 + 1; };VNEE//NEE// Invoke each of the lambda expressions and delegates we created.NEE// ... The methods above are executed.NEE//NEEVO(func1.Invoke(V1V));NEEO(func2.Invoke(V1V));NEEO(func3.Invoke(V1V));NEEO(func4.Invoke(V1V));NEEO(func5.Invoke(V2V, V2V));NEEfunc6.Invoke();NEEO(func7.Invoke(V1V));NEEO(func8.Invoke());NE}N}NNVNN2N2N2N2N4NN2N2VFunc examplesVNNFunc<TResult>EEE Has one result value, no parameter.NFunc<T, TResult>EE Has one result value, one parameter.NFunc<T1, T2, TResult>E Has one result value, two parameters.NFunc<T1, T2, T3, TResult> ....VNNusing System;NNclass ProgramN{NEstatic void Main()NE{NEEVPredicateV<int> predicate = value => Vvalue == 5V;NEEO(predicate.Invoke(4));NEEO(predicate.Invoke(5));NE}N}NNVNNFalseNTrueVLocals used in benchmark: C#VNNint[] array = { 1 };NFunc<int, bool> f = VdelegateV(int x)N{NEreturn x == 1;N};NNVLambda expression tested: C#VNNint c = array.Count(element V=>V element == 1);NNVDelegate tested: C#VNNint c = array.Count(f);VNNclass ProgramN{NEstatic int TreeBranches(int branches, int trunks) V=>V (branches * trunks);NNEstatic void Main()NE{VNEE// Call the expression-bodied method.NEEVSystem.O(TreeBranches(V10V, V2V));NE}N}NNVNN20V","A+rEBAreBa[s~C| 564}F*C~~ 6565656565656668884}Z~~.XBPsBZBVB~EC.B~ 74}0B~(BaCCP5F5FhB 568}0IE^C~[X","Lambda."," From a branch a leaf grows. From a trunk a branch grows. A single function could make each leaf, each branch\u2014what makes one makes many. An earthworm crawls among the tree's roots.","A lambda expression"," describes a pattern. From mathematics, the lambda calculus describes the world in patterns. In C# a lambda is a function that uses clear and short syntax.","An example."," A common place to use lambdas is with List. Here we use FindIndex, which receives a Predicate method. We specify this as a lambda expression. ","Left, right: ","To the left, we have arguments. The \"x\" is just a name\u2014we can use any valid name. The result is on the right.","Often: ","We pass lambda expressions as arguments, for sorting or for searching. We use them in queries.","Detailed examples."," We take a closer look at lambdas and anonymous functions. The => operator separates the parameters to a method from its statements in the method's body. ","Lambda expressions use the token => in an expression context. In this context, the token is not a comparison operator.","Goes to: ","The => operator can be read as \"goes to.\" It is always used when declaring a lambda expression.","Invoke: ","With Invoke, a method on Func and Action, we execute the methods in the lambdas.","A syntax review."," Above we see many usages of lambda expressions. Sorry for the long example. The => operator separates arguments from methods. It does not compare numbers. ","Left side: ","This is the parameters. It can be empty. Sometimes it can be implicit (derived from the right).","Right side: ","This is a statement list inside curly brackets with a return statement, or an expression.","Func1 through func8."," Above, func1 through func8 denote anonymous function instances. The C# compiler often turns different syntax forms into the same code.","Func."," The key part of Func is that it returns a value. It can have zero, or many, arguments. But its invariant is a return value, indicated by the TResult parametric type. ","Func ","func","Action."," This class indicates a function that receives no parameter and returns no value. It matches a void method with no arguments. This guy is a solitary character. ","Action ","action","Delegate."," The delegate keyword denotes an anonymous function. After this keyword, we use a formal parameter list. We can omit the list if there are no parameters. ","Delegate ","delegate","Anonymous functions."," This term includes both delegates and lambda syntaxes. An anonymous function has no name. Perhaps it is running from the law. ","Anonymous Functions ","anonymous-function","Overloading: ","Because it has no name, method overloading is not possible for anonymous functions.","Overload ","overload","Many developers regard lambda expressions as a complete improvement over (and replacement for) the delegate syntax.","Predicate."," Here we use this type with an int parameter. With a lambda expression, we specify that the function returns true if the argument is equal to 5. ","Predicate ","predicate","Invoke: ","In this program, the Invoke method is used to show that the Predicate works as expected.","Comparison."," This type is specifically used to compare objects. It is useful when calling the List.Sort or Array.Sort methods. It can be used with any object type. ","Comparison ","comparison","Performance: ","Using methods such as List.Sort or Array.Sort (with a Comparison) is often faster than using LINQ to sort on a property.","Events."," Like any other method, events can be specified as lambda expressions. With events, many event handlers are called when a certain thing happens. This can simplify some programs. ","Event ","event","Performance."," I benchmarked a lambda against an anonymous method, one using the delegate keyword. I used the functions as arguments to the Count() extension. ","Result: ","I found no differences. The lambda expression performed the same as the explicit Func instance.","Thus: ","Lambda expressions cause no excess performance hit beyond other delegate syntaxes.","Expression-bodied methods."," A method can be specified with lambda expression syntax. We provide a method name, and the method is compiled like a lambda. A \"return\" statement is implicit. ","Return: Expression-Bodied ","return","Expressive power."," Lambdas advance a language. We can achieve the same thing with regular, non-lambda methods. But they make a language easier to use, more \"expressive.\" ","Higher-order procedures can serve as powerful abstraction mechanisms, vastly increasing the expressive power of our language.","Structure and Interpretation of Computer Programs: MIT ","https://mitpress.mit.edu/sicp/full-text/book/book.html","Specification."," The C# language specification describes anonymous function types. The annotated edition of The C# Programming Language (3rd Edition) covers all syntaxes available. ","We can find more detail on this topic using the precise technical terminology on page 314 of this book.","Boring: ","This is pretty boring. Proceed at your own risk. Unless you are thinking about making a C# website, it may not be worth the effort.","Some help."," Lambdas have unique syntactic rules. We had some help from the C# specification itself. We used lambdas with zero, one or many arguments, and with a return value.","Anonymous functions."," These have no names, but we learned lots of their details. With the delegate keyword, we also specify method objects."]

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?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:zeRzbQV6x9ZH+gKGjjk9e+H1tASoPag8ReYx0KPxyK1wNgO2jtH/Hzw1wPgBCY8DX74BMOwCUv27/0v1Pir+Ez8QYJf10Bg/U5F+80HLj2kfxI8qHRp4XqwHQ8G8hKL/qvAF6ftVf8sMA5q4S8BAJ/0pKEPPjxTQqz9JGqIaA1w5wuvKdhYFl/Tf5L/rzAFADjPJ/2wDlN2f8jfOUPfAfT9l+h05AzG8HAqu1bwV84dfVz/VHwdERkZRslrGn/O0CaA3o+KGa: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:kBxQA4cLfEzIjDgW/QxYURlmfBrgRMoAcexhgBBRgkjH5mWYiEJrT.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?uWZ6AWJ?h9GjYLSgA;afBuiJAMIFDmIGEMefTvjX/p9zBpDz4PPZABsm8GhAr+z416vK7+NIyyxglvKwQfEth95Cfmwfy5de+wQAw6a;WEI/r6rieDkyc+zKj0CwHwUJwCE2WgfTWviDSw9ch0HACz9pQna8K/8bQEw+T/vFb8m3/p2Jf9XflhyG2P/y40RSgPY8Ifyc38+sLOV86+L/OtLOcAVT0Mx1qJArtOp8aLOFfg5/KX953L++ZwAzfiHEZ5PuxT+r2Cv/J7mp7rE11el93+f781dP1l/YoBqAeO3aPhHFujOLfCX/r/z+feZ/+78fpkXFwuknLUAe2znpsj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YkkMJU/VHMAQ4a0yVDCGuf1FAIzmPtjR2oJg;GmsZTMi3kShqFghjIVxtSEc+YcC6U0Tqi+HYnpXAvm50p4TammQYB9l+NaCwCHoImMgTG7g2s3RPs5w5kZ1O+Btj99NhcK@jTAFa7drAGZ65fLhixBlZE/4Q5iOq767ZGrHN1qAtWc3xocPVWHuEBP/UBXOPlfCOhtydIhNTjxNGNqDP6X0NvIvSCHjb+h462gfqJOTx7dwMhLNHz59HhNkLfd64vhLz: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.i;JmzPZ4SXMY2/+pFCmkd;nf4JRSGjD6GV0rZxAqb3HbTbymJskTB9UTi0LkDPzkIUA/SwFefhRggdtnLt0PBy7wZ0bsbsy94grKWf?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;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@B82VI3FofZQBm+jSHUoaQHfEtMp8McwsskRboj8xZyWSXDopjgaM0NpK6iFgtXyNEGDmoxnQNjb5WpNZaVcWP+80cYz5msk4ZWlKfMlekRBtpPq51FpndtaJcvVRJqJNkj0uizJcIrSo7qReMLFayFXlm4fM7gL1ZAbg8krotUraMp/t+4OnwIGNFXajrGZhUrNg8HtXblpQQ5psLvAW386TxF+gUf1yFQbQffZp5blJ7fJ5mg+0QSuPM9rqv9TX3y/mrwor/xeL5OeXK7/B3Cr6i4+zKz35V6Ku4CeEZGb6DUJNFssOWT7Lojy5x1d9B6HgD6XnAZ4i1KMb5/acxb6G30DcX6pyYXds1eMIaAK0TLgAw9nsJ2WUtb/MikkKLk7sFdNnflil1GBsBC+O+zSXX9sAyNxpdBxiDTnMLmA0J3VlurN46HQDTHTk1FxeaOHC7L6NpW9v37cBvvgO0vzmnmz3OG2HV0jkI3veY+TI21xfqeyzzLKbS2BWmPISWYdC9gBvtiLVp7nbT6OdhxDBcX2iZMYhd6AZxA35ecvcGXW85RtPweQHaxYnU5dJC8wj0YhcSYloQHhky3prmyNBqR2zmkSHhHNxy8aKwR10LMU1TcMCN39Ik0eu2etGsSz90A/rR3s45JGZM4nvdWBuNA70DNDgwx6Z5Pym8hd5Cf5K30Fto+KcJ8X/9wr:w9zZOKWtfH3c@agbSOtxpqIVFBrX25xGJmObXgc0841hB33GX/T8PgayzUQ322lwo3yC:6czZBylsWL+1Vv3Nn5HZmJ/nke/aEPXtIeo39fjq77uq;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@BoOsJLEtisdjS7QrB2Wfw8OOQkkut3rUdSr8BCKvHGzS2tT1Ub63q76LNwsrh/x1xNVqM9oDE5g4TjHDp5mV9kG7LxNyNBh0i3EgsaFK5fVY49VAHUcibwsam1yFU2vV6iQMCnWeXVOxvlQqTdRVAtVPe2zyr4/tmrq2LpPJlH4Kfrn6ZV0PQPoDl/ZnZsZrq2s/5ahyNhqsTB6V2lU/0tHUaueRzuvXdKJd9TM4n2odsLXcY/fhfO0w3aFcbso35lfCAdPCGCcN3naE4E8JLB8LUtLmxUYu3RlYGy/ANndz1/vJbut2bmgy1zZkXqUD1d9Ltgii3gKaiZ4zmmIipSzyTjbYL?66p6Z3VyW7q45b66fbZ7snJyCvpyuH5yu+L2keK2HQ5Pwojv6a9s6tc4omonxwhJvGNEWoMiU76CJrbSPvOrt6ebZ0Nnp0BDsdJydnXz5MkiQSs2DFl3RgeAwuXZrrvPmtwE/7ZqmhRDWaqIRrzQTsRH/QWPtt/W2CvZKJrQNZ/mFzNOVlcwZ+a3YwPn8PwXyLkEnEOiFfy8D5jQFY7Rc4ePZVqBh/9S81rhWbfLeEPd1ffP50yH4cAlPGw2Hnz55Bh0gwxvNIdcfUEMXFCBGSWKMU5VKXLox0HxrMb5+hg2gvx/vbV7Bzyiqj3ZOwmgm7z5V+bzT1n6AvDdC0oA4ZGGEknzUsCt9AhG1AD3/448/4HE/DzOQ5fCrN/DIrv6AfF8aTQUyLQUh5ER5pznmhF8AutoDoEdn6w+vqtXqg7Md91cUw2utI0D9OATDeoUcoyXBIrlSGTX6BmqdQ9XqSibz6OwAf/48e7aTOXWBzm8LiDMxxBxOiFGjXPlNQO7Tbc928Iu5sYGTgTMIudsDesi5iRsptahYbr639gt0WV3xgL6ePPnP3Njgk5WTx7u/D8jLjxQgsnTVdYyQGo0azXmOpQL5CIDCDzNXBGjv8aPnD58+fQaPkK8+38vAHKLch34jEAaHMMbITPFZGcl2PMKyghtzL/sDWtke2N72nk9J5A6AP7cKZGqKpaWWog6HyJYY/Cerjt0nUKPtsG3QLQHtYo4zOR3pmlKOsobDS44qW0kEpg31B7QXzniFmROAqnNtf20FWqwDqf+GQyaIlPKTeT5u2BFBYKNRIRtX30/3B3R8dXl8ubl5DG3hB9XNavVg8PJq8Nn2rQJh/KeiJFPjEZaPZ0FSNgvF+T6TwuBgODwYru5d7VX3/g5fHe+Fq9XB23SIM80H5Asq0ouKLIrBYMytWS2kpnu0i/iF3N569XRw/fjrcXUwPAj6++vx5RU4NN8O1O+37R43VqwkFlTHgalTxNiSRYGFFBctF/N9htw2+dHFCvzJkMdyZjIr2+QjSdu/C4juUD4uRMETYXExKtjJpCzFbIi50ZTMD/fnkKcD96FVTf1rfQDBOnKxOxDFobGZSFyyJVIkdRbsSjwajbGCkLVV2+7TofoLjtZ3d78MnZxkdlaugVoG3QQoNNVYsbavvygXuwYTxjEke0nWtYQYjaSSABV1bEHwX7eXPvqsWNPz9brKyvF6Nbx3fPWsepW5vnTzHQvqeToQrAnT10MWm5WGqqWfBpU8vxZhoywr6wknm03qSVmMyAg78Lp1X03mFlvUqPv8qJejMwfhZ8fHQ4/21vdOmq43/btchyamch0soNwGxaCCgvWiygYhzNRINBhN6YmIYCANyWAQreCbJmrDyjUKXyuD60MHZztDm2dfd5tqqot11bsWAYjeRDsx2aU7Mv3Rlyc0vAQJOoFx8r0TjwlEMQc2UdgUKgIPRWNTucNOTdEHHW21DdpQG0Cf5i5a9O2ofqC5i3bVG1gzQ7Ozs29A09OvXr588+bly5evZiIxURSEmdnZdfjHZk1/95wYvmjXdRPt0UW75o78B3nOhc4vWjXYAFLbrUj/gDEUDekmRsmEDK0GqurE43FBIB2xLBurnPuWIb+tHXZq8cXEAEUTFx+7mDf/retBDigNgIdbJRoPw2FdtyzY008kYN+rxrOCK1H0vxBzudxim9wjTYYGaD2aHRMZlMtRm2jbgEBeU6evMpgxXSDYgCgXEgnZqdV4kY0GBd9VTyg0Bkmzq2g7UV45sXNg7ybaLsl5gmIQ6djW3J39/bK7LSlJEs8LQsXfoG+59nOrbxbm/C0KvWiNnCai39tEG/CAYBNveZl0KhiEB8S+LVFuNmkfTU3cfXsZZ2Kkg0MQc9cO8UQzJerd858CTUzdEhDjruI8II+oxvcPdB8cIkDEoQKkOG/r+FccugdNtG5lRyEdc6OgBlCEBpQG3V8g0o5IHPLafQyjVqvdQ6B/0llvIqQjJeElBYMecr8AtLGxcRuN6BwCHJMjlfl9F8gw/i0g0C+1l90YSMeMYmkmo+QJzzXRPQu5m7eXYR0HzD8XCnmFsdycAHPoRkBw?rQHTYAgjfIsvYByMwDUe3GQKD7B7RpKhpj6lYxbzEcscgw7j8Q3SENIk4BgywOZtEn9z4k3QOg/jsaLROANMtKcAxJC9AbyxNFegMR/TOgtgEfPP3WLDeLLC6ANfiisG+ZqCgXZLlcLhsGODRBAYJLdl+/KSCNYRDpaXQ7nUeJysvLy6rziepQgwg+3C8gEzEM1hPwxQd46gsIEnTSZwpQ9xskxDl9+fDrP1mrLwlpQJoGQIqGsWJZC2BT2aiByBz6TvmJbbq7cj/8HZr02QDpbKKlA9EOA3qqKAGYQzgQ4ApEslzIy2rZlqRXlDIa1Ei6nh0UPHz17X/SPhruCdTcqurVyf20PsKhAGPqDBMw82UrMUq0DJLztKetTB0uNh2jQUQLBdgCgUEt/J4OtyaoQOr8dXdgztPhxpyvQaf/BSCG4fDICLeQL5sjS;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;Ky6XnNBINtbOgBeq0CdD6nF7EeYyoRUE6WpMolHOM1cCci2NTbumz8dGz3fNFiTb+vo7Qfk8vNPxXoQRk+v+W27LCfojD/KKQYKTTo8+hRcI9fnH20cnR6YvHH/4qdVqNFBoFk7AChgJHCT16y/TZLD34vE7PdIeHN5xDawoJCkApLKDYayil4GbGjnKJg2cHJyfp5vT0NJ1FN0Zo1ej6BqGyAtx2sCD2Gu1kUt+90MKmv6yePX3zZvf1zk7qiR0hNBChuK3k+wS8FSCtEcJ6SBALrG2ABUatp1AUILxHzhF5ACGtGiW0GA4Sj/d+u3VylOYRniamdzsozEmtCYF2PhdVUdLY1ZiFOJaFUS6KyEvPjeF+s6mrVtTRFEWsu/WFaC+UB4Xjrd8cHfVCKefu9BwyfmKCY52NjQGjAokiC1lRQfREQgXEE1eHQEBq03Sk9bxV8RaDQg7Qs62ns7RYx48h5JTmTatM7bAjkVp9LtRyIPM5thKsLn3jiPItBB0bmTaDVXp8yiV2zs6OElkoMx0tNACl/c03Q+hJWwjAtZHLO29FIW/iyLvt/ll1Y+/sbHYy6zMucXOErjJKQqNgrb+jUa56cZxrO9Ovkk9OuCyUWv8HI5TuttcppGVUAyvg8ufVwUAcJfTnaYrGbp4ePTs42OoTbpreXGPYfrug4HUpF0xnKPSIBhoBIAz4EnjbyEaDhEtIKOwYIZjnZZXSogmzg9lWKmCnCB0mUu3q+ZOBKakvv7g6QPvfwJVER7lCHgC5Bz4RRgNAydr3xDwoJR3dlFh4oDKwAqlCJTZl4QoxQuhJWkEuGbz5apYLo0dvFhn3/C/PDR1aAKGfQHeR1Nx1TeFSdRVBognTugt8woxDAJ2oI1rbELEdlC6lN851XDrRic1QRO1GCMGn072d05OtlHJHs/PL0GnKt1T3kUMdiJ98fSHfel6+uiZAYAVuFkYgLWlwjQPnAUC+p8V2B61tHETgdeShzv88ESa/0ao4aiXa38+ePn163vaf2N3ZmU6nx8fVkE/uvP1ytafy1T+vrfnYam6o7TrBY2zEhFmDALgdoLJgOSNgeDufF94GHqwo9RxiXVh2Q4T+9PElvvs3ZOg/nlyEc499e+3Hv8tc2OnXi4++++yDS3wz0IWpJAI0avESFBQkK?iICIFKoBRXABKIaDI79+0Eu3LS4f1k+Ey2refL2r6F/nvf+CnYbVY/3keWvff4eu/Dhl99seX+VfMl+ujeaWQ20IprIINwmXWbdFMnaADl8/LKonzw/A/uCWkNBoh0bwjxkxXecjoBiDUo4SGZjh88Op7h0tHof/973iMh01GA4WyBhUQRBYzH.HVQiIEqTWwAKuIdQf+oGc+/ZtRX7wKIwgRhJpdEZUmhnnsGopYEUxMGFqQx3jXdcq05H1IzQstOTOhYhHtckddSpUXAsDicpDV3oDJXMsNr4tKqt/fKH9xO2FOgmATmvQneo0x4gA4Cs9J9ToDh0roqvzJw9FSGQBDAKQgfAIAjKqEAg00PxxoxCUR7jDxY+TUOLuhcZz+witdoLu3zOhZTfWDxVK375scy+FEusJpR3ujdD4BsA+5fIOvwiN5Beh81vnpcwPHra/6LmvEcqsIXSPR7kRF9b+i0uVhx6hL1e510I3Pz6sfj/zgIXemYPdp+m9Ejr8w99WaevrmPdfH9zpJ8B8L4SUea5dfPA4zXshJXmtXffAcbrmUi2EmpCMHjw1D00WAhRMBs7tA4fzINnioZcK1kj/4JENE/RcKBkpxR48SiUfhAQmpZ8FSQR68GcBZP4P1IthqlxvWAk)ASUVORK5CYII=!B%iVBORw0KG;)NSUhEUg?ANI)9C)AD94GjJ?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@TN1JmYJJkUJSlqw1eSAlfM6l2Sd6x114XEqwDDMmmRhWiKRHKWlM01IKXQY5T/Exe6+Nre6WZdVHM+tNDZmJQyRcIdUjZTSZJ+ujDO0Xk+PFLytIggyRsvBkQdkALdlz1JyoRJUV5/PlvYkASgWwCsjYcyIOUhLUmqANCicHtM21KZ8Pge9xSJtWuqlXukFt4kyTL5VI1W4hlne0WilZKkX+Rp0WZStNIzJKhv7Mc+1UbnrZCUaAHz+tcp+QVipZeUaCspW+mJiQd77pL2v+Y3vFi0/524cV60n0RqUZK0aD+J8XwNkg/+om4Pvv75newjDS5PPAPCprKVpMOPI3l7JxJmSPw4Etqnkbx9Gsnbm5Fc33XvRmpU/yf+fqQewsX/5r8bKUIiZe4A21vmP24hqdv1SRFy)AElFTkSuQmCC!