'0:==4:bsplits on spacessplits on lines with Regexsplits on multiple charactersseparates on non-word patternsplits lines in filesplits Windows directoriesStringSplitOptions

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Split.` Bamboo grows in sections. Each part is connected, but also separate. In a sense the stem is an array of segments. The forest here is dense.`In a string too` we often find parts. These are separated with a delimiter. We can split lines and words from a string based on chars, strings or newlines.`First example.` We examine the simplest Split method. We call Split on a string instance. This program splits on a single character. The array returned has 4 elements. `Char `char`The input string (which contains 4 words) is split on spaces. The result value from Split is a string array.`Foreach: `The foreach-loop loops over the array and displays each word. The string array can be used as any other.`Foreach `foreach`Multiple characters.` Next we use Regex.Split to separate based on multiple characters. There is an overloaded method if you need StringSplitOptions. This removes empty strings. `RemoveEmptyEntries.` Regex methods are used to effectively Split strings. But string Split is often faster. This example specifies an array as the first argument to Split(). `StringSplitOptions: `This is an enum. It does not need to be allocated with a constructor—it is more like a special int value.`Enum `enum`Char arrays.` The string Split method receives a character array as the first parameter. Each char in the array designates a new block in the string data. `Char Array `char-array`Using string arrays.` A string array can also be passed to the Split method. The new string array is created inline with the Split call. `String Array `array`RemoveEmptyEntries notes.` For StringSplitOptions, we specify RemoveEmptyEntries. When two delimiters are adjacent, we can end up with an empty result. `So: `We use RemoveEntryEmpties as the second parameter to avoid empty results. Here is the Visual Studio debugger.`Separate words.` You can separate words with Split. Usually, the best way to separate words is to use a Regex that specifies non-word chars. `Regex.Split `regex-split`This example separates words in a string based on non-word characters. It eliminates punctuation and whitespace.`Here we show how to separate parts of a string based on any character set or range with Regex.Split.`Warning: `Regex provides more power and control than the string Split methods. But the code is harder to read.`Text files.` Here we have a text file containing comma-delimited lines of values—a CSV file. We use File.ReadAllLines to read lines, but StreamReader can be used instead. `StreamReader `streamreader`Then: `It displays the values of each line after the line number. The output shows how the file was parsed into the strings.`Directory paths.` We can split the segments in a Windows local directory into separate strings. Please note that directory paths are complex. This code may not correctly handle all cases. `We could use Path.DirectorySeparatorChar, a char property in System.IO, for more flexibility.`Path `path`Internals.` What is inside Split? The logic internal to the .NET Framework for Split is implemented in managed code. Methods call into an overload with three parameters. `Next: `The parameters are checked for validity. It uses unsafe code to create a separator list, and a for-loop combined with Substring.`For `for`Benchmarks.` I tested two strings (with 40 and 1200 chars). Speed varied on the contents of strings. The length of blocks, number of delimiters, and total size factor into performance. `The Regex.Split option generally performed the worst. String.Split was consistently faster.`I felt that the second or third methods would be best. Regex also causes performance problems elsewhere.`Benchmark results.` For 1200-char strings, the speed difference is reduced. For short strings, Regex is slowest. For long strings it is fast. `Short strings: `For short, 40-char strings, the Regex method is by far the slowest. The compilation time may cause this.`Regex may also lack certain optimizations present with string.Split. Smaller is better.`Arrays: `In programs that use shorter strings, the methods that split based on arrays are faster. This avoids Regex compilation.`But: `For longer strings or files that contain more lines, Regex is appropriate.`Delimiter arrays.` Here we examine delimiter performance. My research finds it is worthwhile to declare, and allocate, the char array argument as a local variable. `Storing the array of delimiters outside the loop is faster. This version, shown second, is requires 10% less time.`StringSplitOptions.` This affects the behavior of Split. The two values of StringSplitOptions (None and RemoveEmptyEntries) are integers (enums) that tell Split how to work. `In this example, the input string contains five commas. These commas are the delimiters.`Two fields between commas are 0 characters long—they are empty. They are treated differently when we use RemoveEmptyEntries.`First call: `In the first call to Split, these fields are put into the result array. These elements equal string.Empty.`Second call: `We specify StringSplitOptions.RemoveEmptyEntries. The two empty fields are not in the result array.`Join.` With this method, we can combine separate strings with a separating delimiter. Join() can be used to round-trip data. It is the opposite of split. `Join `string-join`Replace.` Split does not handle escaped characters. We can instead use Replace on a string input to substitute special characters for any escaped characters. `Replace `replace`IndexOf, Substring.` Methods can be combined. Using IndexOf and Substring together is another way to split strings. This is sometimes more effective. `IndexOf `indexof`Substring `substring`StringReader.` This class can separate a string into lines. It can lead to performance improvements over using Split. The code required is often more complex. `StringReader `stringreader`A summary.` With Split, we separate strings. We solve problems. Split divides (separates) strings. And it keeps code as simple as possible.

VXKQqKKXDXQXbXJXAK{KVX%V{KVVXP sXyQthereq qisq qaq qcatQ;qKVVX{Xd XP on spaces.KVVX9This will separate all the words.KVVqXP[] wordsXys.qXdq(q' 'q);KVVX@ (XP wordXpwords)KVV{KVVVX'word);KVV}KV}K}KKqKKthereKisKaKcatqKKXDXQ;KXDXQ.X$XbXJXAK{KVX%V{KVVXP XhXyqQcat\r\ndog\r\nanimal\r\npersonQq;qKVVX{Xd the XP on line breaks.KVVX9The XK Xh from Xd is a XP XU.KVVqXP[] linesXyqXY.Xdq(Xh, qQ\r\nQq)XbVVX@ (XP lineXplines)KVV{KVVVX'line);KVV}KV}K}KKqKKcatKdogKanimalKpersonqKKXDXQXbXJXAK{KVX%V{qKVVX9Parts are separated by Windows line breaks.KVVqXP XhXyqQshirt\r\ndress\r\npants\r\njacketQq;qKKVVX{Use a char XU of 2 cX/s (\rXV\n).KVVX9Break lines Xzo separate XPs.KVVX9Use RemoveEntryEntries so empty XPs are not added.KVVqchar[] delimitersXyXqchar[] { q'\r'q, q'\n'q };KVVXP[] partsXyXh.qXdq(delimiters,KVVVVVV XOXdOptions.RemoveEmptyEntries);KVVX'qQ:::SPLIT, CHAR ARRAY:::Qq);KVVXw(XiiXy0; i < parts.LX^; i++)KVV{KVVVX'parts[i]);KVV}qKKVVX9Same but uses a XP of 2 cX/s.KVVqXP[] partsFromXOXyXh.qXdq(KVVVXqXP[] { qQ\r\nQq }, XOXdOptions.None);KVVX'qQ:::SPLIT, STRING:::Qq);KVVXw(XiiXy0; i < parts.LX^; i++)KVV{KVVVX'parts[i]);KVV}KV}K}KKqKKq:::SPLIT, CHAR ARRAY:::qKshirtKdressKpantsKjacketKq:::SPLIT, STRING:::qKshirtKdressKpantsKjacketqKKXDXQ;KXDXQ.X$XbXJXAK{KVX%V{KVVXP[] wXyXdWords(qQThat is a cute cat, manQq);KVVX@ (XP sXpw)KVV{KVVVX's);KVV}KVVX5.XuLine();KV}qKKV/X{<X7>KV/X{Take all the wordsXpthe input XPXVseparate them.KV/X{</X7>KVqX?XP[] XdWords(XP s)KV{qKVV//KVVX{Xd on all non-word cX/s.KVVX9Returns an XU of all the words.KVV//KVVqXK qXY.Xdq(s, q@Q\W+Qq);qKVVX{@V special verbatim XP syntaxKVVX{\W+Vone or more non-word cX/s togetherKVq}K}KKqKKThatKisKaKcuteKcatKmanqContents of input file: TextFile1.txtqKKDog,Cat,Mouse,Fish,Cow,Horse,HyenaKXAmer,Wizard,CEO,Rancher,Clerk,FarmerKKqKKXDXQ;KXDXQ.IOXbXJXAK{KVX%V{KVVXiiXy0;KVVX@ (XP lineXpFile.XuAllLines(qQTextFile1.txtQq))KVV{KVVVXP[] partsXyline.qXdq(',');KVVVX@ (XP partXpparts)KVVV{KVVVVX'qQ{0}:{1}Qq,KVVVVVi,KVVVVVpart);KVVV}KVVVi++;q X{Xsdemonstration.KVVq}KV}K}KKqKK0:DogK0:CatK0:MouseK0:FishK0:CowK0:HorseK0:HyenaK1:XAmerK1:WizardK1:CEOK1:RancherK1:ClerkK1:FarmerqKKXDXQXbXJXAK{KVX%V{qKVVX{The directory from Windows.KVVqconst XP dirXyq@QC:\Users\Sam\Documents\Perls\XrQq;qKVVX{Xd on directory separator.KVVqXP[] partsXydir.qXdq('\\');KVVX@ (XP partXpparts)KVV{KVVVX'part);KVV}KV}K}KKqKKC:KUsersKSamKDocumentsKPerlsKXrqXOs usedXptest: C#qKKq//KX{Build long XP.K//Kq_testXyXP.Empty;KXw(XiiXy0; i < 120; i++)K{KV_test += qQ01234567\r\nQq;K}qK//KX{Build short XP.K//Kq_testXyXP.Empty;KXw(XiiXy0; i < 10; i++)K{KV_test += qQab\r\nQq;K}KKqMXgs tested: 100000 iterationsqKKX?XcTest1()K{KVXP[] arrXyXY.Xd(_test, Q\r\nQ, XYOptions.Compiled);K}KKX?XcTest2()K{KVXP[] arrXy_test.Xd(Xqchar[] { '\r', '\n' },KVVVVVVV XOXdOptions.RemoveEmptyEntries);K}KKX?XcTest3()K{KVXP[] arrXy_test.Xd(XqXP[] { Q\r\nQ },KVVVVVVV XOXdOptions.None);K}qBenchmark of Xd on long XPsqKK[1] XY.Xd:V3470 msK[2] char[] Xd: q1255 msq [fastest]K[3] XP[] Xd: 1449 msKKqBenchmark of Xd on short XPsqKK[1] XY.Xd:V 434 msK[2] char[] Xd: q 63 msq [fastest]K[3] XP[] Xd: 83 msqSlow version, beX|e: C#qKKq//KX{Xd on multiple cX/s XDXqchar[] inline.K//KqXP tXyqQXPXjsplit, okQqXbXw(XiiXy0; i < 10000000; i++)K{KVXP[] sXyt.Xd(Xqchar[] { ' ', ',' });K}KKqFast version, after: C#qKKq//KX{Xd on multiple cX/s XDXqchar[] already cX_d.K//KqXP tXyqQXPXjsplit, okQq;Kchar[] cXyXqchar[]{ ' ', ',' };q X{<-- Cache thisKKqXw(XiiXy0; i < 10000000; i++)K{KVXP[] sXyt.Xd(c);K}qKKXDXQXbXJXAK{KVX%V{qKVVX{Input XP contain separators.KVVqXP Xh1XyqQman,woman,child,,,birdQq;KVVchar[] delimiter1XyXqchar[] { ',' };q X{<-- Xd on theseKKVVX9Use XOXdOptions.None.KVVqXP[] XU1XyXh1.qXdq(delimiter1,KVVVXOXdOptions.None)XbVVX@ (XP entryXpXU1)KVV{KVVVX'entry);KVV}qKKVVX9Use XOXdOptions.RemoveEmptyEntries.KVVqXP[] XU2XyXh1.qXdq(delimiter1,KVVVXOXdOptions.RemoveEmptyEntries)XbVVX');KVVX@ (XP entryXpXU2)KVV{KVVVX'entry);KVV}KV}K}KKqKKqman KwomanKchildKV KV Kbird KKman KwomanKchildKbird q

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ZaKIlHsjqSvmu4bLHwEz0dTIY8IwvTAKTVO4seMtVZ2BsI51tDkOxw0jT8pkEBdXUXLxJrFYxpek0Y0BrrIbamEiNOlEri8+wryvQXwcTz1O87a1CeAOD2P8UjJCIaz6RWC9B2dEgmHBBNKXxXEfuDWmFVuIksZ8tzjRM1vLjOKgs3KIQyuBr4CHdvpaJggwkWMFUb6o6GhARgFcTA+BpxkgMJFjaaQBxFl8CEyqXnE4Fi8qbw14RGOHGAvz100hgcXkPxsYChplYwZSjLhaX1WCSoaZyPhUw9jyIYBoDszqDof59LWNRWsG0h30VrAaGPKxkUjoZSvLlHZh90xkdvhYi449TQkYmHGAovxVE5W0Dn1xKAMWCaLwaqZOBIhAkeSlTYBRqLGfwXZkeAL2DONGuzE2Lc7n9UqeW7xqAUL/Y4EzNQQvQnconQRmMSg5I0wGuLgCGHw1RL08WjprKUzMAzf;kcCGujPjTwTs8uOphPZjpfOuxQuZgafPDBnw/9msVMF8ttkGxs2GhNO6++YQ+YwETzBPMO8gpfdvY6Wh7oaUhrf+83Ufq+g7gWlgdhnYtJDUd4O5dEuDm6Z/Cybp5a0WSogM/8w1QnUmrwJC+rxc8yHjfPEK6a7prUTwsvFGzd8L5nK1TTQ4YTP/Wz?q8oSY64h8hLMOwXZXwuRKrMrYGaRyJxoPLX7g/FstwEM08M5ROZziKwhDHpW0t7xjU7QPVA+bLLWkWpx30DvdEwrmMDWEBmpF3TUYyk2dpWKUN8ORoIOipNDQ27JDW4Fg/jBglsNfOhejmC60zvANY?4@HYFx9WLWUHjVENv741vBYbFjZ1d9K4vzdyyeeCVeiq+AIlAe2zhjM10NkDXwGcn7/DvARDOZc0l12mFYwoaaiimNRXPa1xyzck;YQb2+F0yr6tt31MhtiVwbwWi+VpZCJi5rReJQAl8ehgswg4zDQAjYYHB+u8fUoxVMX.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?7f+MoZzOJxh3lQEYqNzzvQgtkEuAJJKASAmvYAyUQJEE.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: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?HAe/6my/SchQ/zt/JihBrWUSA4/B3PzgAmntV47Si+MiKvzYzaXSFJPliFRk+3A5HcleJFE+vC77dq58FskcpfIXSJ3iTRdq6L5kEjGeZLIB670Z3HzZThDM8/PuRkEAPsFGGO2l0ittF1KJLGmxlWJvAVTVyGB+W9J5JUr1fqBEljjy2o45QXKBjqGh6qXALHgyngf8kukbMAV8FYjOHqoEDoiAathe1cSXJl1VzKjQSapYtj0aTjkW12FTBJ5aWU8S+QbOfmAOilBV8M0UnIjMOrTLwbDGpgaAETKUbBCEVkAqBxgPFIK4K4kEunwNInU/gLGWCLWwWAnpnswq5ruUHSE5ABDPKXuQsZcJPJ6CGm/gUQSo1q9TLiVDef96lFiHDAcOH9nWIIWnLcSWpInriWS82PN24VE1s+QSAyTKz3OXR/JC8PjC4aQCjqBoe6+mghQvzp9UjIA/ZL0ifnlSjDb0fclcpfIv+zQIQE?ACDsP6tL54BNxR6X4EBAwZMERgwYMC?QMGDBgwYAQGDBgwYMC?QMGDBiBAQMGDBgwYMC?QNGYMC?QMGDBgwYMCA0dihoxoAYBCIYm8quBwk+He57JNpoBL6YtR5hpWtAFXnsLoEhFTDkgIM8VlgbPNZtz07tnEghqEgSjKZFowvgv2XeckFNrWBAad/SnhYLSVQUujO/QpjGMO47CcY19A3jBsYxYZxyZyCs2DcAEAtGBcFp8gbxlUxumBcw9EbjMt/iR69wbgkpeh183UBtIpeMC4SOpkLxiUwumHcMNow/u9K6tGC8REitTJMwABVYZjPmhpgZJhVUs1oFXJUpXbhB5KSkWHWIQpJ+elimAFaO8O8KIVOGGZ1IPRiDLODOsMxzC5ZFzvDDExIp0gZ5sMFSivDNKOENMzTOCrGMDuok99+MR5HhrnHkWEytDPMvW80zL1vNMzzvtEwz/tGw9zNs4thevRVf6oEseOwhpBh)AElFTkSuQmCC%iVBORw0KG;)NSUhEUg?APY?ACwCAM)LzWOL)YFBMVEX::8/Pz5+fn09PTx++fW19bj4+PFyr/s7Ozh6te;531/+vm8N3s9uKxuqjZ4s91eHPK9aH7:f4:HE4Krw9unq8eJBQUH1++/M/5r6/PgGBgbs/9rd/7rS/6Xl/8xp3c0R?AOqklEQVR4Xu3diZKbSLMFYGpfWLWr2/bc93/LW1WgE6ICjFLQ+hWjOaGxuxs7Jj5nKikQQsX2+S: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@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;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@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:r8A1apHxfG/5Xq/wc2xLwH88O/qw)BJRU5Er@ggg==%iVBORw0KG;)NSUhEUg?AP)CLCAM?ABobuSi)YFBMVEX::M/5nV/6vm/9Dh/8Xa/7fP/6D8:n5:Tt/9zp/9bv7+/FxcXe3t6SkpL39/dvb2/Nzc3n5+fV1dWxsbGHh4enp6d7e3tiYmK7u7udnZ2/v7/Dw8P7+/vr6+vz/+izaY6U?AJ90lEQVR4Xuyb527rOBCF5z97VUnZ93/LncPmODfxtgssHXEAMYc8JuDPE4kCB6SXEoGIFAuEZx2aNqxl0yzfmnSs31/+9VTxF1MFa/ffp759NfV6wNeKEH484grnLgb88nolWu8vBvz6soCfKxbwAl7Ab28XA75WePXjEVe8yvUu/T+FObX2RObQVjsY6rQpm+aKrPWpoO590XyntT5MEbYKkbft9PcAKswDLNK+70yUdkRkhCIsIHpnD0S6iDx8EPdZiSh24W1RatZ12Levd3C7sfLGMk1FI3A0EGBiWMHfhu/aqGrTJek6ss0KTLZmmNsMlkMiu5mbamct?3/hB9BXodKSGUY9MiMCFbtgY/P+FmBBQG4Nue+68xkhIQZagEY+AFKR77gdyIvoTVDExRflsqnZwWmD8AHw5SvrtBtQAkYd34kuvmapaYx60CPID4Bv8p5gePIYH0GWUnN7/8B4gYcN9auAIcKnAqwnPbVcgDLciMz1FYeUTdepZSwIDoZtvhh/MsLwj18ar4osoUsi/J7zA0MFnuwciVNCXnS6TAQQtWnknVInP/gR+N2jVmnxKjFg49Fzu33GCHEPLh6R2iFFsmjVFWAqKOA8VVYQ7r5EA6qL1YI0Rey+BnAmLmAyVnweiJTRhwhVzSAKdz7B8EzZZZ1RH6DCH3pjvO+WnqF?jaPmTKO0Um1UIQQX/yz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