["","","37 C# ","A)swryz[CcBBBBST~~}T~~YF696.BBm()BCEPXS}T~~}T~~","BinaryWriter"," creates binary files. A binary file uses a specific data layout for its bytes. The BinaryWriter type is ideal. It provides a stream-based mechanism for imperatively writing data to a file location on the disk. ","Note: ","Here we see an example of using the BinaryWriter class, which will create the binary file for the example.","Example."," BinaryWriter writes data. It is similar to BinaryReader, which reads data. Microsoft states that BinaryReader \"reads primitive data types as binary values in a specific encoding.\" Primitive types are value types like int, uint or char. ","BinaryReader ","binaryreader","Int ","int","Uint ","uint","Char ","char","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 4.5\n\n","C# program that uses BinaryWriter","\n\nusing System.IO;\n\nclass Program\n{\n static void Main()\n {\n W();\n }\n\n static void W()\n {","\n // Create 12 integers.\n ","int[] a = new int[]\n {\n 1,\n 4,\n 6,\n 7,\n 11,\n 55,\n 777,\n 23,\n 266,\n 44,\n 82,\n 93\n };","\n // Use using statement and File.Open.\n ","using (BinaryWriter b = new ","BinaryWriter","(\n File.Open(\"file.bin\", FileMode.Create)))\n {","\n // Use foreach and write all 12 integers.\n ","foreach (int i in a)\n {\n b.Write(i);\n }\n }\n }\n}","In this example,"," File.Open returns a stream that the BinaryWriter writes through to. Next, use Write to write a value to the file. The Write method is overloaded, which means it handles the exact type you pass it correctly. ","File.Open ","file-open","Overload ","overload","File data."," What does the output file look like visually when you inspect it in an editor such as Visual Studio? It is not a great work of art. It is not something easily read. It looks like random bytes.","This is because"," the data is not encoded as a text file but instead a more efficient, machine-level representation of numeric data. Don't worry\u2014the file can still be treated as a series of numbers.","Close."," Do you need to call the Close method on the BinaryWriter? The using statement will cause the Dispose method to be called. In the Dispose implementation, Close is called. So the answer is no\u2014an explicit Close call is not necessary. ","Using ","using","Also: ","If you call BinaryWriter's virtual Close implementation, it calls Dispose. And Dispose then calls the Stream's Close implementation.","Stream ","stream","Implementation of Dispose: IL","\n\n.method family hidebysig newslot virtual\n instance void Dispose(bool disposing) cil managed\n{\n // Code size 15 (0xf)\n .maxstack 8\n IL_0000: ldarg.1\n IL_0001: brfalse.s IL_000e\n IL_0003: ldarg.0\n IL_0004: ldfld class System.IO.Stream\n System.IO.BinaryWriter::OutStream\n IL_0009: callvirt instance void System.IO.Stream::Close()\n IL_000e: ret\n} // end of method BinaryWriter::Dispose","Summary."," BinaryWriter provides an efficient and easy way to imperatively construct a binary file. Ideal for certain file formats that your programs must support, the BinaryWriter is used in many projects around the world. ","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"]

$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAKEAyAMAIgABEQECEQH/xABf?E?gMBAQ)))?AQIDBQYEBx?AgECAgMIDQoGAwE)?AECAxEEEgUhMQYTQUJRcYGSIjI0UlNhcnORsbLB0RQlMzVDVIKhwtIVIyRiouFEg5Pi/9oADAM?AE?g?PwD7It0Mfu769/0l1u;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)AHRaA7jn51+zE2jNXoDuOfnX7MTaM7XRvcVDyDR4n6epzkLaWKraWPYj?AS)UiXKRKslFwAWI?AMFbCUK9ajXqxbnh25UtbSTe3VsZnBWU4Q7aS9JVRhFykkouTvJ8vATeTsrt21JchYGCWMox4XLoMMsc+JD8zHLE0Y7Zp/mWVKb4PTqPaDWSxVfvvRqBheOp97IusPLlRzSJIRJxKN6)?dFoDuOfnX7MTaM1egO45+dfsxNoztdG9xUPINHifp6nOQtpYqtpY9iM?BIAKynCPbSXSYpYqlHllzFJVIR7aSXSSoyexNmcpE80sbLiRSPM8RWlxvQeepi6Sa2y5kZY0ZvbZG0clFdk1bxkmnbfC9ZuDJQr77m7G2W3DcrUp5La73uDxVcZUjOUIpdi2uXYe01Nb6Wp5T9ZTGVJwjHIy1GKbd1exMq9afHfqMYBrXKUtcm+lnpSS2KwABUk?A1L0fjvu8+q36ijweL8BU6kvgdkCXueo8FafTYj+Iz4YROLdGv4OXVZRqXI+k7cFHudjwYhrnhf8AUWWknw0/8v8ARw4O2cId6vQijw2H8FDqr4FHuen94XU/2WWklw036f8ARr9Adxz86/ZibQinSp0uxpQjBX4qSV+XUWN5haLo0KdFvM4K10eCrNTqSmlbM7kcJJBGszbChY8NWpPPLsna7R7Ls19RvfJ+U/WebFStGO1azJRWtlSCNZGs17Z6bAqiQUZINwac3B78B9p+EwYji9INTW+lqeU/WbY1VX6Wp5T9ZOO7WHORh9r5jG.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)))AxcLMpie185SfAWiLLkKujR41OPVRcFMsXwJk3a2MwvB4TjYen1I/A9BBJMYQjfLFRvtsrByb2tvnBYqWMhVgxta2ZCttZEgiosWsLFcpNythYvYWROUi5SwMgGQZgAC5)))AMT2symJ9sykyYkgmz5CcpCTJIJJsSWRBBIBYgCw))))))?I4WSCHw?Ak))))?H/9k=$/9j/2wCE?gGBgYGBggGBggMCAcIDA4KCAgKDhANDQ4NDRARDA4NDQ4MEQ8SExQTEg8YGBoaGBgjIiIiIycnJycnJycnJycB.gI.oJCw@Cw4LDQsOEQ4ODg4REw0NDg0NExgRDw8PDxEYFhcUFBQXFhoaGBgaGiEhICEhJycnJycnJycnJ:BABEIAKsA7wMAIgABEQECEQH/xAC)DAQEBAQE)))?QIDBAUGBx?AQMDAQUGAwYDBwU)?AECAwQREgUGEyEiUTEyQVJxkRQjYQcVJEKhsWJygRclMzRDU3OCg6KywRE?gIBAwQCAQIH))?ECEQMSITEEE0FRImGRQlIUMmJxocHR/9oADAM?AEBAgEAPwD9/M17VNDPxUaJlwIQxFGTEIBDJYwuIQCsu4XIuFwoeo0uO5mO4qGpBkNDDIvIpozWQ2QaGWRdyWjVSNBmaKVcktMoBDApMYCGIY?AM)))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?D))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?M)DmevMvqp0nJJ3neqlQMs3Ah3JRF6DLOdM1abGLDVVXBcebgvL2XXoRI6MZ4zdqaB9VV0zIamRlFJuampjhWSJr/+3k:AMT2c28vHvd3qv0PilptQptoKWr0egqqF9ZUf31E9GvpnsvzSZtc5uXeta3HwQ9vbB1MzZuvfVRNl+X8prk/1XLhE5v1ychcoR1QUf1V9v0c+LqMnbzzyJXit8OEWl8lT54522Z7aojkXh2mUkZw6DpX3Rp8UG+mlk3bN9vpHSc9ubDJbNS/gnA8Kn2s1L4B+tT09PNpj6t1PBunubPu95u2Ox5mu9OHDiJQbb0u6ders0yZ4RjDvJwcouTS+WlR5br1Z78kRzPjO3VK6h0uldW18qQwNVrc7K7vLj+VLnPT1VDXtc6inZPhZJMHJkxej295v9UKjJ1w6MMuOGrRqWqr038q90cuAsTsfEY4Gikcs8RmWggKM6o1aaNcYXLQlo0jI6Lmlzna40aS0bwmboUimVy7kNG8ZGiKUQilXINkyhklCLQDEMRQ?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?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?AMDB6cV9TcyXvDiRkVpGDjJx2Yp0IVreiGikc0sV+TjsRY7VY3onsJWN8qexSmYvA/ZxCO3ds8qewt23yp7D1k9iRx3JyO3ds8qexKxs8qewahPDI4sjJzj0FjZ5U9iVij8ieyFKf0Zywy/cjzHOMsj1Vij8jfZCVhi8jfZC1kRzz6af7keSI9XcxeRvsgbmLyN9kK7q9GL6Of7kedCvzWfzJ+56xDIos28je1PBDswb5U9jPJNN8HV0vTSjGXyT3MCzVGt6J7FI1vRDNyO2OJ+zNCylRLLwQlCS6otC0IQpCWaxLQaEoUhJqhjEAihg?MCLcSyfEaFIQlKsKwyWiLCsaWFYLI0mdhGlhYjslxM7E2NsVJxXoOyXAysTY2xXoTgvQaZDgzCxOJurF6EqxeilJmbgYiNsHdFFg7oo7M3B+iGJzN9UOkxwd0ULu6r7iZcPjexuUc6K7qpSK7qpNGiyfRsvYpBDldi7ivYpi1zuq+41EU8qTR2IUhzNc7qpo1V6i0lxyfRugzNFXqUikM3jI0AQxFpjAQxDAQwAYgGACEIYDAQD?EIYAKhCsUIBUTYVigsOyWQBVhWHZNEmB02MrDizPJHggdirBYqyFElycq+imKHQ5OVfQxsOL2M8kd0U00aRYtBMqCLQtCEKQhnREsZKFEmiGAhgUM?RQ))CGACEAx?gGIYCAYATRIDAYqFYysbEWGiZIiw7FWCw7I0kKnBfQysbqnBTOw0yJx3QkQpAsNEBioaFIIZJohlEgItMsBAIpMs?Ro)))?ACEAx?CGAwE?AgJsUIYthWCwwAklU4KZ2NV7CBoidCGADJAYhiGAxABSKGSMRSP/9k=%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%iVBORw0KG;)NSUhEUg?AQ8?AD1CAM?AB5j4DH)YFBMVEX::X4/XLzdTl7Pnu8frm5+jv7+/v77L3+P2zzOSdudZ6qdh6gIVeXV1qmsG4vcNQbadHQkWtrrCO@AuR39ODi/ArYoLCg2jZUyqjoDtv1fu1qlTqk7Ll0/M2ej4+PhfhMXl?ATqElEQVR4XuyR6YrcMBCE52/1rcvH7PX+b5lpYS9LCIRhw0LAJVxSS+2y+Hy73Vw+demBo4FOXbrdBF/ri4d+LS8eH0LP6uJx8bh4vLzQstA/EX6v/y8eIJAv9/t924xyXUR47iKNppU5SZ/lNOF2roWdz/4qau2zb1mJfJ2d5zim1qsQ1Y4ajb4cF0ILYT32fLAdJ8pQBREKY24451TTG89+eBw5Nc7QtHP8tX7wmNuvS+LYzBogBoKLUK3CWTVhL2hBpBtDmlFtQpPHPMUIZxKh7AR2gwemQCUgnY1IzJu5GKpwhmtIMdA;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.4hiMVIcU/9hJVzxKnH01dpBo4NYbHnDXm7GeDPuKmk1hW73vrvr7BNpbeYoGedJbA515kXvz0MS+FpyNOuqRFcl0lx8cTIxYeTqy7VLoxIcam9IM7bFOadD?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;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;6FwBBa1Mmne8jG5dTC4yitiWWXTfNL2zrunqa7bmn5Cm6tJzTo2ZpOJ1OQTvvLU+egS7AFohwA13HjAxwC0fseo4FFxUkeHiK5X2BsAsRuqwrhLCC7maUiwqG0tqmOR6nEb8OdWc7HiLJlqLngY9mcJ0LG0ASlWkiLE+eAFRuAVOD9bnSxC385A3Dd7D1dc2PpPzhTvhcgw+NnoTnR8Nk9c/c3+v1ky1/gg98wIcQ+P8gcLvT/fp2fwzp+6ERNRWM7SflWdQ39u/vc6vDO/tjHXdp/GvyRrzmhxTwH4bixh1XKqlu9cmcHqvBkh/5FTtqj+QcX4X8GRDf5FexbsmP/Es49Ro858Mr9R6/KCOu+SFzxC84wez3Qs1wz/nIshf6lRR4rLd8CCkx5PIpXsUHymcgPl7od7rMAsT4pZDeLfnBwLKEt/PhpOzLslVabpD5l/LBfgU69A6dJxmFAO2v+SGki7qg/B/JDyJDuffywX7BOyLDo5ISAcLChxRS5EKiVl7FKR7Qk+Q1cnVA9lfw4ZxTjnxTR94KauQXnNeq9X7UZCE+XuU3Bo3EhnckSASpr+9LIIUjO5YtKCNLgdqDHNuyQiOoCrK/hA9fKoW0Pf+6kRqUl0NZBlcahMxHr5wfr/MrwHn2IwQCgIn5AZwfImSk04LPBah9EMoLHiqDIF7Dh0KlHHsRyqkheOG1QDMa1OjHQBbi43V+CehBMBBg/f0AJAUGAKUBvQPF74yZ3hcEwsvuF2CnVL1iv8EbHbxzfJoX3i8QEXxQLKAmmJgfEPMDHLKZClUWuaX6svtl8cPu04DFF94vwEB+BnA6gvmAMP2ntud4WX6EZyA+3uPXGU1l4kNLCPhVQfUauKduvVLv8esM4cqHEBq/QvkqvMvrc7+Oddf8EMLhv+Lw+v2QVMQ3G9evnt8vf9Wvsy/5kQoU1YNimAr504Fyfdb+LkZSfkxFhAJ2jHy3eUrDVv81cEUJVy4/fHKXQn36fHN+EELY5Q+xq4RERPk1DIqUFUmi/tHz21S8731RoFN67LLLse9OlcxjaQqZT3JeSZQCvlFCm5Ij0XFftuKz9v78mL+VAUh1MKM+VZP7pviUGKKUVwigmqYI8AVCm8K8/5XTpFgbvsMI92/9foRAXvtjd6b86BtbEx+2qU5V0zWVrEIIaIPV4QvolB+pJtXtk8q3XpX33y8QOIKDiXw0x2MX82OMcnXpdpEPZ9GaQ2eOxwKb48EdjsOxc82xs8ciBDwcDVWd8mMdfhokQr5JxRuR/v+LCCAYMx+10EPR1JduqClHOlnpoPHY1PpgTgZtX7mDazSRQb0t+loHa0Lf6ZQf2+DvuNnWdfCPx+K9fy8WggAJAkSpXTUUylozFKW1mvqir0TFf9mvNfK/JcB88D8eQD3z4Y0taMahMO36Rt3SMbet5SZksQy347dg+ftbCLBAULkF8WG0sdQdjKP3RdP7Yqyxx4b5cHVZkLo9Hg3zsY14O+LBY6oe85IGb/v95ABfQFTmBv5oHqPdsPE49K12QRLvb1rxzr9v0PAVqmKDqumKH6DV/w2EB23ODwNf4vqje871/mf6/KYmS8L9qjR3bXo8TNOfPr+N/EGbvx8BGP/A+RH5qDThH+b7lvj4X/tWkBs5DgMJATLmIEGweNDN+v8vNxKIrZERR7Y7k/VOVx2MmM2QjQLFIt1wLxZfRRYvIh6XZW8Hul0WM8C/Y/RHHLhKvyDvqTjI62/mXbyvh3lr3MBHTFFE0yoppSAhpSRr0r0d6PY1mgH+DaM/4jSYPRXpQPx5HPiHdDNvTCkf5rX+YXxIFMlSJH/1N9DssMCnYfRHnAazB+MD8WdxRv+7eUXdUV57P/s/4WOJL/FRir/JRz3Oi/7x83zEtaSX6qPc5MM85/URNLRLFKeaRVWdRA17O9DtumpXbvh3jP6I02B2X7zIkHceZ+4/zxuP44z1QWD+EOLf+XQzPrx6kawiorhks0s2E9DsqmaDfwPidCAOXLPaLfJO40z8p3nFT/Ji/pjpS4lypHv5or4g/vf101+n8hZ01Ff1Rb6PD/OW1X8bH3IybxbkPdSXl/hYY/TX+YitjONL81gc+MjhJB9f5kX/+NH6qOb9Ch9Sf/f3p+tjOn9Ab3VVkbg68eu6iVtXL26NZl/L2u0C6KrNbOUH/wbEaUCchm4Htcg7jwP/YA5X8qa1hC/zjvsLMc6nxKgvaU0iYRWRFZewswNmt0Zm/na390ccuK52i/gdyLuPA4f1jD/yItEa+n8f5L0yf7hT+1wsc@fXLOH+/NHj3FnnzP/8JW+nNXb+jkfMYMPfD7TvSU2w019WX2Fvlziw/vuH: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)BJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AG4?ACCAgM?ADasxWR)DFBMVEX/6Nn:/+VlZX29va5ksB5)SElEQVR4AWPACZj/f0DmjkqOSjKtQgcLyJccZiEE9SOmP8mXHEaBMBoIo4EwGggryJccvvVKKAogTnJUclRyVHLklgmjkqOS?LWyrsxEHLD)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?AGo?ACZCAM?ADw+V8S)DFBMVEX::09PTk5OTU1NQ/cPF/?ABzUlEQVR4Xu3bQarDMBRD0Xel/e/5w59m0FiNRQnWBg6vBidynVkOAJIAYLYEJF9j6VHxqly9Zxzfiig4T2jycpQPVM.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)ASUVORK5CYII=%iVBORw0KG;)NSUhEUg?ANM)8CAM?ADLy3+8)GFBMVEX::++Of/8crj4t+/vr2SkZFWVFT/67CB/ywx?AEFklEQVR4XtWbYZOzIBCDN9nF/v9:I6FzBVKGaXyOs0XW5H1ntsYRr2zWiAfWSRgJ4W/6TOzK9k1Ah+NiPWzpWbyJVB49EQsni2xZVpBJHHxbCFdzsTHQPhmNifPj0VNkrBwtpBaYVWTJEwhSafSRcIyJOmr2ZxxCZY5T+IUkoQJlyz0noQpJGnYpG+YVvjncUw4bxHYeqgp30ocEK1isqolYIcRc1DMwtyieE1OEB8awEP2IQCwJSJxQ58Mbx7hMSZDhxsiIjwivM9kXMtkfKtzNLvQsQsKUmxZ3p+5mMnYlsG5PGbbAtLTtiUH0rbBelrNZBif0cZQbDlJPDsEANsWY/OBa5hsikkE73vwNJ6NmEy5ZLcw8XiPxbTtMgPiIxMz0e1MY7VMYfCPIWFQInLX6wKwhgnfeIFi2mBIuU0jgaJiFm68nAaeykGe9B;7V/MLDKpwd0dZu47E9yZ5buQd9tzWIpIKTaV2WUe4eZaLlT62I0aTreYalQqTNmJmW0Tmz9JYc9tgGVWRPFt5OFdvklblHKZ0ENMKt0RICKJEzcvhAtqR8LriVPeSql8DuA5SYoyLKTklikqQheKSg/89h3Sg0QIyuzPINUv2i0VGLW0dCijNQwo3VW5lPNHKFDpShcgQZNICCqs+WG82UYZB+o2yrL5a1RXpYZDh6hko++R+IdEQBbx94iIik3MsGI2seGlbRBibbN+RIyZMJH/JOEOWKhR3YjQFi2DjhdyFARvhu0VRZzz3hsjlesClkOgExFdj/UtKeu9O9deKqjFl2YEH5KQQo3qR4S26d2CUVu2spe2YhpGhF300Jz0nGJUNn+MCFT9EAP0XeiVvZqVaBwRNn07IyQx7QgOECV027xqGMUiBmQ2DeeNHYmIMzdpB3zXMhkAZXUbEW+M6TUSgCoikDejiLCKsxKLTrpPSG2fTBCK6BKDUPea/ijhgTrhq6trS1qQxaRDxfRB4DfvAUikUl9nfLLsO/WhjgrkHXkUQLWKJS3d6TkuWVaookqe+DmPI+lZxBaRCpLO7FqEm8hG/LEmALIoCk0ZhqDUkr9DdKqheObBUSvC8m81JVkklXTam4U2k4HneE5BENlHOrw4K+RZf2HSISVfx8JR813x2IckpPE9obv39hZPX/QmnN0unRQbnayQtshmv4bpbEYOqmSaiUaHluVrmDDwHSstfO+u1aGJCGKOaYDUjC1lcmihq2piJiPYQfr/TEp4f7fzuAM45DzYDUzeRcrC2bN0kO5gMo+UAh8K4vOlf84x65nO1CN59BZqcMy9TJx/d/44o7kX9yuRaL/DhMdkm36fCXYX0zIo2m1Mq6Bo9zEtgqLdx7QozmG/yGTgqEk/xzSmotm9TCv+ZP5nmSSg+teGH9U/EvuFGjU3drs)ASUVORK5CYII=!