#ba9async, await, Taskasync computationcauses compile-time error

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Async.` A river rushes along with no interruptions. Now imagine another river some distance away. It too flows with no interruptions. A bird's song can be heard.`With async and await` in C# we call functions in an asynchronous way. Like the rivers these tasks can run with no interference. Many things happen at once. `Task: `A Task returns no value (it is void). A Task<int> returns an element of type int. This is a generic type.`An async method will be run synchronously if it does not contain the await keyword.`First program.` We use the async and await keywords to asynchronously run a method. The program begins a long-running method (HandleFileAsync). `First: `We create a Task instance by calling the HandleFileAsync method. The task starts, and we call Wait() for it to finish.`Messages: `The method displays a status message after it starts. When it ends, the results are displayed.`HandleFileAsync: `In HandleFileAsync, we use the StreamReader type and await the ReadToEndAsync method. We perform some computations.`Above,` the slow computation done in HandlFileAsync is for demonstration. If you change the path to a large text file that exists on your computer, the program should work. `We can do something (such as write a message) after the async method starts. This is not possible with synchronous methods.`Important: `We must be careful to call Wait() on the task we want to wait for. Sometimes the wrong Task can be waited on.`Simple example.` This program runs a computation asynchronously on every line entered in the console. It keeps accepting lines even when computations are running. `Action: `A lambda expression is specified as the argument to Task.Run. This is an action delegate.`Action `action`Allocate: `This method does a slow-running computation. But when run asynchronously, it does not cause the program to freeze.`Result: `Many user inputs can be handled while the computation is running. Each Allocate() call finishes at its own pace.`Main method.` The async keyword cannot be used on the Main method. So we will need to add a second method before using an await call. `A pattern.` Async and await are a code pattern—they allow methods to asynchronously run. They are a form of syntactic sugar. They make code that uses threads easier to read.`Complexity.` With async and await, the compiler helps with asynchronous code. We return a Task or void from an async method. Visual Studio reports warnings or errors on incorrect methods.`Types` (StreamReader, HttpClient) contain "Async" methods. These should be called with the await keyword. And the await keyword must be used within an async method. `StreamReader `streamreader`HttpClient `httpclient`Task.Start: `The first async method call can occur with the Task Start method. This is an instance method.`Event handlers can be used with async methods. This is not currently shown here.`ReadToEndAsync.` When can ReadToEndAsync lead to a performance gain in a program? When we have high CPU usage with a file load, we can speed up completion time with async and await. `StreamReader ReadToEndAsync `streamreader-readtoendasync`Asynchronous.` This term does not mean multithreaded code. By default, code written with async and await is single-threaded. But threaded code works well here. `Threads `thread`Task.Run.` With the Task.Run method, we can make code that uses async and await multithreaded. Asynchronous code is code that returns upon completion. `Other code can execute (even on the same thread) after an asynchronous task has started.`Some corrections.` Thanks to Donnie Karns for pointing out that async code statements are not (by default) run on another thread. Thanks to Jim Boyer for correcting a "nested" task problem. `Quote: `The async and await keywords don't cause additional threads to be created. Async methods don't require multithreading because an async method doesn't run on its own thread.`Async, await: MSDN `https://msdn.microsoft.com/en-us/library/hh191443.aspx`Concept.` Programs are full of methods that do not immediately return. Sometimes an external slowdown, as from a network, is the cause, not processor usage.`With these keywords,` we run methods in an asynchronous way. Threads are optional. This style of code is more responsive. A network access can occur with no program freeze.

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JwnJXoseawhj/uy5xFFsboYLiJnPQbtWHrK9dbtg6MXHijgaZLHWnh88qxKz1KRx3h4zJ5nUXjY4zzl/ik9SfgYj1LwDMkzhDZ5Bnj8Eh71/zwpPANSeOnp2JRHlOst91TswJP2j4dnYPC0mcfBM7Pe0ujmPToDznQoPa7PzoPT5OHw+ENPOt+swvnWwuMyjwfn8DwoRzedB74PWIc+k2AODwKPSvcPswQywVNR/PJuZr6m+2ejeLx/XOPT/cN0/8/nNTLnCTV86Zm5TyV5CLRkiEGy1oIzgLP1qMzjM499Io9Ey0vP4Xsnvd9YpQi0yjyYGc927zeviCPJBI/MPExnJfTTeCxaV3rueY86TBBbcQLFnYKwFa26VfxMaTpx8+P9y5Phz+3ten18fLzz+LwE:6T/qXVOPsKyTx/a63j1jphKArg10IdeeaOCc+OEAdBqwikIPO/B/v+X2s5XhujSNhaeoAre8W98yO3ofTvKSTKlckHEk7/rdl0QvgWorWuKnUTU3u7m9k8Nf0fkpSS+tf7J/O8+Mm5hmarVFVpTRLe/u9DmWF7kqR0Ct/uh3O7nAexOQ9iO/EgiedlnvyyzLMx9038iGkEtKwcNjSpg0cXkj718MHj3wHmfz1FmfMgPvEAtHraxblJRHMp9c2eZyk1gTM6ssLZPLf4zYcydeIZio94WEfxtYcVprryPI8M0OQDaXklZEbq75gPQoQz2gGc3VNi11QY88GjEo: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)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?ALQ?ABYC)AB5IIIX?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)BJRU5Er@ggg==!E%iVBORw0KG;)NSUhEUg?AIw?ACKCAM?ABPR1IR)MFBMVEXg4OD:/+qufHN0+y8xu729/mMoeyWqO3c3+/x8fGfsO/r6+vl5eXn6vqEmurt8PsdAqXn?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?Cz8GAMQELYzDcwlwYgwEWJqUtGD4mgMBzMLMtrA2Y2RY+GzDTLVzbMGhM4IFnMPMtXBsw0MJcGA8DxgQeeB4GjAk88AxmvoX3Bsx0C2sHTGBMoIFnMNMtXDtgwJgAhDGYuRauHTBgTACBZzBzLVw7YMCkC4QxmLkW3gMwvzYmaBtmqoX3DhgwJkBhPMyESfcMw2wOpkyAmWrhOExxMHmqgb2FJ/eprVv6gBkiTRxmczBlZgL7eo6HecxtE39rN4cEgxk78vNHm1cMpv7Oe3sPweRAz?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)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?AP8?ABkCAM?AB+dxZ4)YFBMVEX::+9e7/9Oz/8+rs8O7o7+3/8ujx8e3/9u769O718u7E5uuX2ugtXJzm7Oc6g8VsyONOr9y14ur+8eb/+/j/+fX:Pr/+/f:Pn/+PP/+vf/9/HX6uv/+fP:fz:v4pSJug?AUZUlEQVR4XsySUQoEIQzFPEne/W+5LJRQiwP7M4tBKiD2kepqpGpqm2sCkMm8ZDcjbiSbfvRXXQSsIv2yTQ0y81J9H78cJATlA7V5JKXvF7h8AKK+Ag20VHrqE2njs+3lqO+75zw?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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/+78fpkXFwuknLUAe2znpsjHf5zfDfBNq+GnAdaW92qClwa4Twi5FV4tkKqDH/x/WDm7FbdhIArTXhVKoYBiyQ72+z9m98z4Q/IMFhvTE+M47NV35m8DGY34zn+C0wGvHWCxErDFp5?vQ34TVo9/fFjJfy6iP2Ar9DLgNd0KS0aMBTBb+uDMQWwIMmDQfMj/NcdiF?h0xafBrqhctGv77j7Set75fhWwasol9Peve+CL94+cuGS9g/WIb9++e9YUBw4J6e5re1C38sAJcc0iqvwdc6uEwS2BMfDd9TAFes8xH4Mf5kv/gFOaG/d4BBkByQAj34Ofzp92/wkwEW/y/RwVxvOgFP60lut9X5FXYMMCvA3yQ3oLPelMDcgOwAFtCEoQc/boDgfjbA1wDqKYIIf7wp+k7PlPSNoTD7xvQv9P8PKiA6sMwcQNAbPs0P/lwAnT4YULsDSWr9uO5VgVdj+EtI/y1M/3kKoJwC3QHEAELgh/DH3z9jgFrtcqqGHFijCaKj8gWu2/hHm56I9Kf+p2I2fb8IQngifgh:v17H4KLDPAOgJQBjoupV35zHfydZdl6Kf5L+pdJ+c+7QHZgYsEr4MOf9h/Q4RYv/n/wiE8oqQTQ9CMBG3zCd3oLBrOvh39M/w3yRymAz?ccI3k0Gf8vP+CfAPYLVhax6cGoLI3Xd5rf1B1oh8MSOHHgE/OKPjMAQR8xr/Zf8IASfhmgONX4eshqb5X6MEXvNh1z+GXAX3+PcqB486BckNP72vg5/23zs4esF5Nq2AnPvxEdYXfEgB+/kYuXsK/bRiQ: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?/5C/7rPf3n4v3nsqf:Pjvz/cP/v37Fw/dY55BUp6Hhw)BJRU5Er@ggg==#!