C# : IndexOf
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[["`*jCCSTUUUUTTUUUUYF64675675675675FZBBCC3CCB]CCBCP6467F[CaBXBSTTUUUUTTUUUU","t.wt.t.trhs.","LastIndexOf."," This method searches strings from the right. It finds the location of the last occurrence of a letter or substring. It is the reversed version of IndexOf.","A key advantage."," LastIndexOf requires no explicit for-loop. We also have the LastIndexOfAny method. It searches for an array of strings.","Example."," We see that the LastIndexOf method acts on instances of the string type. These can be referenced by the string keyword. There are 9 versions (overloads) of LastIndexOf. ","Tip: ","The method internally searches the instance string from the final character backwards to the first character.","Returns: ","If the specified value parameter is located, its index is returned. Otherwise the special value -1 is returned.","ins","class","adsbygoogle","data-ad-client","ca-pub-4712093147740724","data-ad-slot","6227126509","data-ad-format","auto","br","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 LastIndexOf method","\n\nusing System;\n\nclass Program\n{\n static void Main()\n {","\n //\n // The string we are searching.\n ","string value = ","\"Dot Net Perls\"",";","\n //\n // Find the last occurrence of N.\n ","int index1 = value.","LastIndexOf","(","'N'",");\n if (index1 != -1)\n {\n Console.WriteLine(index1);\n Console.WriteLine(value.Substring(index1));\n }","\n //\n // Find the last occurrence of this string.\n ","int index2 = value.","LastIndexOf","(","\"Perls\"",");\n if (index2 != -1)\n {\n Console.WriteLine(index2);\n Console.WriteLine(value.Substring(index2));\n }","\n //\n // Find the last 'e'.\n // ... This will not find the first 'e'.\n ","int index3 = value.","LastIndexOf","(","'e'",");\n if (index3 != -1)\n {\n Console.WriteLine(index3);\n Console.WriteLine(value.Substring(index3));\n }","\n //\n // Find the last occurrence of this string, ignoring the case.\n ","int index4 = value.","LastIndexOf","(","\"PERL\"",",\n StringComparison.OrdinalIgnoreCase);\n if (index4 != -1)\n {\n Console.WriteLine(index4);\n Console.WriteLine(value.Substring(index4));\n }\n }\n}\n\n","Output","\n\n4\nNet Perls\n8\nPerls\n9\nerls\n8\nPerls","Notes, Visual Studio."," In Visual Studio you can select overloads of LastIndexOf by typing the period after your string. Then scroll through the IntelliSense popup. ","Overload ","overload","Visual Studio ","vs","Tip: ","In the method calls here, the starting index is the final character index and the count is the string length.","Start: ","When you specify the startIndex, specify the position where searching begins, not the first character in the range.","Notes, above program."," The program uses LastIndexOf to do a case-insensitive string search. This option is only available with the string type overloads of the LastIndexOf method. ","Tip: ","StringComparison.OrdinalIgnoreCase specifies we want to treat characters as number values (ordinals) and not culture-specific values.","Performance: ","Ordinal searches are faster. When optimizing for performance, always try an \"ordinal\" argument.","Dictionary StringComparer ","dictionary-stringcomparer","LastIndexOfAny."," This is a separate method. It searches for multiple characters in reverse. It returns the final position of any of a set of characters. ","Tip: ","When you call LastIndexOfAny, you must provide a character array. One way of doing this is shown in the example.","Here: ","The example searches for the first instance of a 'd' or 'b' character starting from the end of the string.","Char Array ","char-array","And: ","The position returned is 5, which is the final 'd' in the input string. The search terminates when something is found.","C# program that uses LastIndexOfAny method","\n\nusing System;\n\nclass Program\n{\n static void Main()\n {","\n // Input string.\n ","const string value = ","\"ccbbddee\"",";","\n // Search for last of any of these characters.\n ","int index = value.","LastIndexOfAny","(new char[] { 'd', 'b' });\n Console.WriteLine(index);\n }\n}\n\n","Output","\n\n5","Cache."," The performance of LastIndexOfAny is not ideal. Consider storing the character array argument in a field\u2014and then use a reference to that cache as the argument. ","Note: ","This will avoid an object creation on every call. And reducing object creations reduces memory pressure and garbage collections.","A discussion."," The IndexOf methods are similar to the LastIndexOf method. They search from the first positions forward, not the last positions backwards. ","IndexOf ","indexof","A summary."," LastIndexOf and LastIndexOfAny locate strings from the right side. LastIndexOf can be used with a string argument. But it can be called with a char\u2014this influences performance. 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DhVpf9zBQuJkqZSpc6gA4z0eSLHKmZdyKmY6JR9MLNs2Lkda81codjOI39Supr+jiVrzLk0/D3x0MiNJGozG8NDCwEO12c5LR1xhhd6+DEVEn8jBQnaVtGIKBzB6Y4jAMUjzYfjHff1lYrNe32DR+8PnhhabcMdssCGcaBiNjITmd7XIBFsJxkhYGvwMZNo39WwqRV2NE0unmEzaK2IwSaOBjYNpEgofAw95NiNu90ED1lnaiAHMPmPv/DvO4AxPQILFrwJz5veuBHzzsyDiYKhek1TrP3W7ZztfW153383PbODd1yk2SoCIYpisapV+GW2m4Ay3fSbvp0iYiBwOajqlU7AoGjJOphEGOg0EK5PbMJ5I1Q+s8Ya7w488PG5h3VqbKBclt7O49mFjJ3+q7GSNTwFSl/2tzE3tzI4DZzdKDi4WBShnm8XUw66JAl6zpw3r+YI0d3PMR9fS0wKr50+SdSQ3/jfLeZmpScrG793C4VvVypv/SXkevaUNRHMdpmkbS/8AnIcNRuyk3gY7uxbQx3QaOsbfgkI4NGxQGyUNays0h/dd3ftdQUz3tkKVf5D74on449964mM9lmFpmyGPza3jBq5GZTZouZ9hMqHzIBBmGEUdGgDHd3eamW/Qz/j5gk2Ck/MFNnidKTQP+jKqqVqvV0nT97RotGtm23XUv+YelXz/wifIpbXQp57ofXdf9vdXn3hwJMNa6dxfo7LzOmjX/GHw5n5l+hFmxHbuU93AR2oL5U3d3X5YFt0ZljKmKsKlyfnfMSJ7WIZpwFjcxWY5zzK/HnG7qcqfvuVN3U/pMdleotwCMRGPV4aAdWo/x0EjNqBTaGyavXVCOBtNAqfimKDyl/KKgUnPGBl2Z+MsfP8lOJYfDZ2GetKgDjEQzseTOudeFQbUMOmGRuChipYKCZYgaNDUMtwuT7gUj0HTnjf4DRrcGg7INTTD1T/qYmwJ5cRTFXi1zJcoAZkeFS4+QALPTBkageRYGvToMZHCY5+g2j5WKvD5cIsVFA60hs1zKMNsmdUebRJhmgNnqnzBIgNFtwoBmXY7GkfI9308Kn1WCmJU0aJayjC27GBgBx5YDzK5N7yUYJMDoNmAg06RBD1nZHykMTcJrQoFSY4IMrm0Dg0QYeIgwDZpOpyPDSDK9ufMCDBJgdBswAk2elbpMfDXGnR0TjQBD9EavZBlbYgGMEGCQBCO1L0zYHkxDhojMxFCouaAPmIC8CCvR1E8qyIBGhDkUYIQ663Zgjg8O9oQRaMIKLrodmJqGAGNoKAxBU5Kn1MjzlZoSGZ/4rSRjv+giw6BdGInGcZw9YVBLMKChdRVVGc3CmmagTAkRnoqZSZoZ+y83d/jbtnHGcby0JIuOjjrqeNRRFEUrSZdgb4rG6+sOTDwESt5vaVEbTqhOltKks4wpSFzZ//p+D09nihHDyUYzNPuiPdF5USAfPHyYEHa1y01h0AYM2oBBVTDoM8IgA3N5+esHgtE0BzQvB3DBcwq75mB5uVo0+0bGvtM0LtvDKCZzmhwml7EjERsYqgIGlcEcc46zEgbf9XW2IjkbzaphEMH8kNPcv4fbCC6P7+FPNz8vl5cPaGaO9/cLMLUbwXAn4OtDo6SqWyinGQrB9Yrf1d0MBlumx/lpDrN67fD+xTrMu1FiYGZJOttmYigj89tvf8JNhG8aefzt8yV6fvgAMgSjZcphGhUw0uHF+ylw6oAp0HBu5zBUKYypCKNper2LIgwk0lFxZJL5V6YE15+EgcLl1MDkNPfpgU0DcwiXn7FsvtEjUwHTqIBhBRfIeE5QhMk3DWBMN4IxW6YI8z49KsAkCZGYmTmpgvmAHXL5Qb/nePJEy6B7jw4OD6EDmH98ix5+vTYyvN1uswY0fMZYyvBF2iAYH5dtt9FIGWv7rr5GvgialGJBEDDVVDx0As64NeRcqo6UMruiOynmMp4MpIy1zO4ATQaDHOblJKZfymUMzKnV8/YvaGyaF8dNqz7Db/f1izR9cXT0Pr+VkpPF+cnJzIxMBQwCzF9XMKB5YmjuP6enE2CwjTE8h2Zk7I4Mmc+cNmSY40CljZNgXKfruk7LbfjdVot12zgzmVCoJmKO5CDhGYwEjB1HQtC/wopDvWIkPgAVRZlMHEWDeCCjNZiBHEwmOCBThGnybMUcK+X1vOZQ9d8B5ihN4ZLDvE5ORuejJNEySX8LmB83aS6/f0wTc4BnNh1fGxgZKdxJzGEYGfikNYg4PgYj42EthhM8ONvZtevIJlIOy06OM3BUs27ZliWEHFpcWFYnEMrKZAaZiMQ5wQmROIoJ5qWGmdApZRGGmnJ+gaZKTTE4Xh8cWDEJzryj5Agg58moGkbLIILZwT87O6ChzKo5PFjew4b5eUkP7hVMHA2agPGdbgbj1lDXgUPX8Q1G2uo29DWdDveAwQGDFKbHcwSuADMUUcfShSLbNIHoZDDEI6NszwyiiYExSYnjI5hT7l2gY5WtYK//+i1WzMbufQuQRZIsMph0Gxi8VM0CS05zuaQ/8P15ee9xPjEyimn5+o4Dkbbj48QHa7g0MG67hbPh0gmqFlG1HM/zCMaRvJmlnEDDxEJqFhAFFuqIiJbvIIr12JBMFO1kMFrm7gTJwSZMjzcvUI/v4/yg0l8Ac7Sxe9+snkc459gx1TBTDUMylJFB08sDDMzBwUM8n8zyjaJODoOx0TBugznYKV0sZXM/6bkBUkAwtGMcJ2R6eLiG4YJbOq6JlJAEI6OJ1tE3lIYhmbtYzFi+Mt6E8bgeFX6K829qRDBJ+jpXod17tIKh8yx/Kr0lmLwCzI9wWZdBgEHYNOghDQzJDKMwe1xjQPBUwpGNhpM2gJOmDV0bo5KmNDeEJD0to1joOIFeMRomEMNrGL76IJgoMmOT3VYaBsGFdswEp4H5wcAoPr1AXOEAzMkvKE1x5L1P3hPMXO+Yk9HZNhNjRqZgM6UefPPo0fd4Wuu/LQ2jCDC1WkDLl+FArhPo28nUauVzg7OpZRB3HJyh42kYISydIZJCAWaoVwxO7bOjZbCHZawfTbv0UZwYvXtXm8ZSZ/QNLv2Pd+87wGBUznAuiOfNxhs8QtFdIsBAJu+jW4peUVO7FMbc3msqEeI3J4XyUEgfTASE1GB6kFC75eJkLd5BMqAT29a2hyK0KUuJwMAIYVZwr17nDsc7YS5CvACtB0Idm1TI6W8nQXB6Op32lAeP5ZXuKfOv8Cpyz331L+T79P/ZO++P3qw3SlYDQ7t3lsy2hIFMKY1pByp6tDt7KgjpbggF44qHgmc8Ttv1WbcLCw0TtpjrXsOIwbATyzC27ViIQTzgWDEGBkQijhVWcAbDHKnUGN4h54EQx2swgfIUDwIM4BQf48upgfknc59+9+yq4X4HlyvfPz+fL0766fnZydy4vE1Gs/l8NhrNv0Kj5KsqGFQOsymzuwq/u64IyEWJgIVCSOVRKsi2a8PAgKQl3Jrbkh00CASScadj21KIUA5tS+YTEwgRKYtrGOU4AjPjBZBRIshh9lkYhuoUJLI5VUFQn15PzDOXMX955euJqfn9dL6YJ2manC8MzFlyfpIk+AW9es9KYFAlTIkM5sV0N/ZXG0MwnN51vuvX1vOzL7vhsEMNY6ggGzfT0EbWespcAKbeVGMTF/w477TpnaL68RRxNjUwaPn37AMq1LP5YgGRmRkX6i2+WMzBgmbJOc6bw6CX13uYTrjkMNZecwXDceY0tdJcISGTZ5ussgCDxtdJ0RyvwayaIi+o5zAmA/PvBfrk9z8vzuCyLQwquEAmrxwmEEpfVMAgHokylyoYkuEKqxf24xIYyCjcTbeEwfrF4q2GocpgIINKVDRMnTS4ENzIVMHgJroNTCBQCJdSmGO+P92EQVvALOY4fg+Y3U0YyLAA8aapAmY9e/uJof88Lsph0K1hUCmMrgSmKFM5MZDZrAJma5ccxlSQ+QPBEEUJDLoFjL3eHxKmIJPDbCWjYdDNYGz0ZcKgG8GgbWFs9OXClMjsUOUwum1gYHB7mP/18i3I/FoOA5lPP5XKaPb2toepXr7jLwCm5Kn00zoMymGo/0cYVAKDKmGQgSn2ZcKgbWFQEeZVvSTAlHdzmHIXlLuUw8Dlc8GUvX2gqmF0vxfM+MuBQQWY8fimMB0uO7eHUWFYJ5dtYWpP57eHQSUwqAwGFWDQjWDiMOK2LanBf4MZ53EJF8TD0LsBzNUrP51/VphchirAoC1hrDs2F9JGw4EIeacKpmf1xnl1EWiYMVfH28Ogv/RHt4dBOczWMjkM2hImhgsFoNW84FsDylh6vZ/WYbjgZRtGu1TvmLQ/f1MBs/lDFiV9MDClMi83uvuTK6XkNPIe57zO6e1DBlOjVxE+ntMuD5SPa5dg7nSiqAMJJEWMc5WSaKhJOhzXnL6zijPzukHxUEiOWfE4ZyqDUQxf74Omp5Q69fDFsoDyqtZovLoimFH/qAym/MdyFvixnJKurv7Dyv28Nm5EARwvGFHU96OPbGdiNH/Gzr3MoQjvwUejS0rQgKFeNu06Wxf/932PsSxv5NXqsF/oaBKyh3z6xjnEmb9//1Z/3OmXtReHxHXfCxEyIukHmngW8SB1Lm93aACcvQFa3zekbFZD73Qt/Qbo8OHh0faPzRrtq/t+DR6RgWPbOiESrdUnZfubMmZXicfdhw9OtyiCLDdXBH8MLmWR+J/eP7AJz6evm7qMnW5+XXnbv+Uys2l/baf9uabQxoiEMUYh3ttKOcYArJ9BwJgSgeieAVNKK/B1qQKqhxBQ0QS8fp0jttW7GBk3GoCtCXy5byUR2YMp65VX4kVvZAweXw+HxDxeZ38I4XA6HfLGGAaYhZcCTi80K5deDL9gGitHePyTrrHHBlutfDNIEjVvDw+5YMRY2fdreylUdUmAB5dBC6Cqa0/7fiiOMCrddVYm2wTCJy17Pp/PgbOOScc43vSf8fl4fDm+aAZjPjfNwvw0C7NQZt24AkO6MuWoMUn53+4YzEtMZ6Ry45TUb7Z2ftSrv1YJooA3GAEpMEK2YQoFxisMcqcwicMV5oByHGFS+PyjYOZnZqRpmv79FYZ8W2BcvLzdQWIZEl33ZW4A+ktKNG7FXHqDQcArCwMxe7AD1TGEAoNkMETdCOP5oxY4X2GeMRytAhPC8UfAfCkwU5np0Lxrmq3BCLHq2KJ52itOiEMMtnfAumZo+ksAtT1qXBlINAhT4ytM7UGUBG1VCehKTMnOE5nLOXg8n5MXgxHeXE9SwlAGxmA+Sz79OBiTmR0as/nZYPQnBJKYjpRjha19Ig4BjHPjYN2X3IVI1OehwCBwP06M7VqFYcjKUQ0vMRvyuqYLDPpwVp1gMIwf78NsZLME5tN3Yb7MzYw1yjTNSmEq4mgYTl2ip2xIHLW92JBwmRt3AzMCrBv9D1Bh9h6cQXmbpJVcYBKAecgAE0g3T0+ekrokz935LD6pS2IZYT4jvr7YL+0NJsiCk7QUxprCTKbm12YddxX7SseGCZ0TJpub2gNLQO9jxALjAZ2LYYB5bPRjy3wegVy/Z5BygBpxSNwikARkgBCCwtgHWYXI55CehJQkMSd9iWFvMJkx5eKiBZT0nIIozPPMwCyFsQxmVqZ0lSFPrC67PbF4Iqxaq2IA8BKvMAhgx+tygBCumYbzQOB1p63Y/iXWbW0b7HT1oUteH7LpdEPEOi3iNTSXznuD6ZhZrjCHjKg2h5eXYwjHZTCf5mH++TKRmaPZ5rzfWY7w9vqHrgqFKF6qquLj+ntlVz7faiu3aouu67ScuuFhbfJTKefN19clp3KUjqXD8+uLdsz2s3oZzKfZo2QwJjM7NKONvviWhGQ3ZDDtTSPP6oFX92Da+3WTnobu3T4+ugwvva9hkctymOnMlO1E5grDVO3G3pfat/XvGnDLYRa7lL5yMZgs6XhaCqN9/yhNZ2bYvZHZlosDW0ck+wnMxKffbt1qO6n9RrMsU5jjW5hXXRbDWAtgRplZGoWxhDW5DzPWtcVhIcx2t9BlhPm/uXvJWRsIoijMntiFBww98wZ4+I87CgRQlK1HFORiW6dwyamWchBCTD91M7K4YxerAoxodJXsPaP5BX/z68Nsd0GZ9tEUplt2UQzDLoKxFmDg0NiHmKYwyoNRizCtmsJ0votCl/6UCQM0LyDREIy1CkYYCNN9ZFEjl1UwVgRGMko0FsNYmTDMIheGkcv5xC4EYwVgAjQGQ3WgswKmU76LGrnUgwEaNaK5CcbvH2CAxXe5oEtFGMnAsWEY0mlWw4AKughGLgCzWQ9zv6PMjdNj6rFcmB3VxFg0rEguYRh15H78/Dbti9K0ze/Du6tqrvO6Z03LbakWUKxhoB+Xp8vZOLxyN+N5XpSDUbeMcERQlXdJGiTTT3psC18mHSb5Ltj1b8sU9hKKYha5JMIogjEa4xnHMGrBBvqOg4H6unhaVK6LEkycJrQ1ykAjoiHUHpqzlFQYJRj/PikfRg0psQq7QJuUAAZPjWwC473pKKrUd1EGgzJME142zjRhlzow6tRzxmJAAGPFZp2TWeq7CObowPCxKbMWYVT945LmokfRPBiwKdRnGGiPBkMERS71YUBGiaZ3YFQCzP/iIhimOY5thFM+FoahWKsAS20XwVgIIxnrdcGKX/5VclhKRRfBMA1esEuvCgNBAAOhBatknJc/0DAueEe04l8AAAAASUVORK5CYII=)"]

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)","url(data:image/png;base64,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)","url(data:image/png;base64,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)"]