Table of Contents for
Regular Expressions Cookbook, 2nd Edition

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Regular Expressions Cookbook, 2nd Edition by Steven Levithan Published by O'Reilly Media, Inc., 2012
  1. Cover
  2. Regular Expressions Cookbook
  3. Preface
  4. Caught in the Snarls of Different Versions
  5. Intended Audience
  6. Technology Covered
  7. Organization of This Book
  8. Conventions Used in This Book
  9. Using Code Examples
  10. Safari® Books Online
  11. How to Contact Us
  12. Acknowledgments
  13. 1. Introduction to Regular Expressions
  14. Regular Expressions Defined
  15. Search and Replace with Regular Expressions
  16. Tools for Working with Regular Expressions
  17. 2. Basic Regular Expression Skills
  18. 2.1. Match Literal Text
  19. 2.2. Match Nonprintable Characters
  20. 2.3. Match One of Many Characters
  21. 2.4. Match Any Character
  22. 2.5. Match Something at the Start and/or the End of a Line
  23. 2.6. Match Whole Words
  24. 2.7. Unicode Code Points, Categories, Blocks, and Scripts
  25. 2.8. Match One of Several Alternatives
  26. 2.9. Group and Capture Parts of the Match
  27. 2.10. Match Previously Matched Text Again
  28. 2.11. Capture and Name Parts of the Match
  29. 2.12. Repeat Part of the Regex a Certain Number of Times
  30. 2.13. Choose Minimal or Maximal Repetition
  31. 2.14. Eliminate Needless Backtracking
  32. 2.15. Prevent Runaway Repetition
  33. 2.16. Test for a Match Without Adding It to the Overall Match
  34. 2.17. Match One of Two Alternatives Based on a Condition
  35. 2.18. Add Comments to a Regular Expression
  36. 2.19. Insert Literal Text into the Replacement Text
  37. 2.20. Insert the Regex Match into the Replacement Text
  38. 2.21. Insert Part of the Regex Match into the Replacement Text
  39. 2.22. Insert Match Context into the Replacement Text
  40. 3. Programming with Regular Expressions
  41. Programming Languages and Regex Flavors
  42. 3.1. Literal Regular Expressions in Source Code
  43. 3.2. Import the Regular Expression Library
  44. 3.3. Create Regular Expression Objects
  45. 3.4. Set Regular Expression Options
  46. 3.5. Test If a Match Can Be Found Within a Subject String
  47. 3.6. Test Whether a Regex Matches the Subject String Entirely
  48. 3.7. Retrieve the Matched Text
  49. 3.8. Determine the Position and Length of the Match
  50. 3.9. Retrieve Part of the Matched Text
  51. 3.10. Retrieve a List of All Matches
  52. 3.11. Iterate over All Matches
  53. 3.12. Validate Matches in Procedural Code
  54. 3.13. Find a Match Within Another Match
  55. 3.14. Replace All Matches
  56. 3.15. Replace Matches Reusing Parts of the Match
  57. 3.16. Replace Matches with Replacements Generated in Code
  58. 3.17. Replace All Matches Within the Matches of Another Regex
  59. 3.18. Replace All Matches Between the Matches of Another Regex
  60. 3.19. Split a String
  61. 3.20. Split a String, Keeping the Regex Matches
  62. 3.21. Search Line by Line
  63. Construct a Parser
  64. 4. Validation and Formatting
  65. 4.1. Validate Email Addresses
  66. 4.2. Validate and Format North American Phone Numbers
  67. 4.3. Validate International Phone Numbers
  68. 4.4. Validate Traditional Date Formats
  69. 4.5. Validate Traditional Date Formats, Excluding Invalid Dates
  70. 4.6. Validate Traditional Time Formats
  71. 4.7. Validate ISO 8601 Dates and Times
  72. 4.8. Limit Input to Alphanumeric Characters
  73. 4.9. Limit the Length of Text
  74. 4.10. Limit the Number of Lines in Text
  75. 4.11. Validate Affirmative Responses
  76. 4.12. Validate Social Security Numbers
  77. 4.13. Validate ISBNs
  78. 4.14. Validate ZIP Codes
  79. 4.15. Validate Canadian Postal Codes
  80. 4.16. Validate U.K. Postcodes
  81. 4.17. Find Addresses with Post Office Boxes
  82. 4.18. Reformat Names From “FirstName LastName” to “LastName, FirstName”
  83. 4.19. Validate Password Complexity
  84. 4.20. Validate Credit Card Numbers
  85. 4.21. European VAT Numbers
  86. 5. Words, Lines, and Special Characters
  87. 5.1. Find a Specific Word
  88. 5.2. Find Any of Multiple Words
  89. 5.3. Find Similar Words
  90. 5.4. Find All Except a Specific Word
  91. 5.5. Find Any Word Not Followed by a Specific Word
  92. 5.6. Find Any Word Not Preceded by a Specific Word
  93. 5.7. Find Words Near Each Other
  94. 5.8. Find Repeated Words
  95. 5.9. Remove Duplicate Lines
  96. 5.10. Match Complete Lines That Contain a Word
  97. 5.11. Match Complete Lines That Do Not Contain a Word
  98. 5.12. Trim Leading and Trailing Whitespace
  99. 5.13. Replace Repeated Whitespace with a Single Space
  100. 5.14. Escape Regular Expression Metacharacters
  101. 6. Numbers
  102. 6.1. Integer Numbers
  103. 6.2. Hexadecimal Numbers
  104. 6.3. Binary Numbers
  105. 6.4. Octal Numbers
  106. 6.5. Decimal Numbers
  107. 6.6. Strip Leading Zeros
  108. 6.7. Numbers Within a Certain Range
  109. 6.8. Hexadecimal Numbers Within a Certain Range
  110. 6.9. Integer Numbers with Separators
  111. 6.10. Floating-Point Numbers
  112. 6.11. Numbers with Thousand Separators
  113. 6.12. Add Thousand Separators to Numbers
  114. 6.13. Roman Numerals
  115. 7. Source Code and Log Files
  116. Keywords
  117. Identifiers
  118. Numeric Constants
  119. Operators
  120. Single-Line Comments
  121. Multiline Comments
  122. All Comments
  123. Strings
  124. Strings with Escapes
  125. Regex Literals
  126. Here Documents
  127. Common Log Format
  128. Combined Log Format
  129. Broken Links Reported in Web Logs
  130. 8. URLs, Paths, and Internet Addresses
  131. 8.1. Validating URLs
  132. 8.2. Finding URLs Within Full Text
  133. 8.3. Finding Quoted URLs in Full Text
  134. 8.4. Finding URLs with Parentheses in Full Text
  135. 8.5. Turn URLs into Links
  136. 8.6. Validating URNs
  137. 8.7. Validating Generic URLs
  138. 8.8. Extracting the Scheme from a URL
  139. 8.9. Extracting the User from a URL
  140. 8.10. Extracting the Host from a URL
  141. 8.11. Extracting the Port from a URL
  142. 8.12. Extracting the Path from a URL
  143. 8.13. Extracting the Query from a URL
  144. 8.14. Extracting the Fragment from a URL
  145. 8.15. Validating Domain Names
  146. 8.16. Matching IPv4 Addresses
  147. 8.17. Matching IPv6 Addresses
  148. 8.18. Validate Windows Paths
  149. 8.19. Split Windows Paths into Their Parts
  150. 8.20. Extract the Drive Letter from a Windows Path
  151. 8.21. Extract the Server and Share from a UNC Path
  152. 8.22. Extract the Folder from a Windows Path
  153. 8.23. Extract the Filename from a Windows Path
  154. 8.24. Extract the File Extension from a Windows Path
  155. 8.25. Strip Invalid Characters from Filenames
  156. 9. Markup and Data Formats
  157. Processing Markup and Data Formats with Regular Expressions
  158. 9.1. Find XML-Style Tags
  159. 9.2. Replace Tags with
  160. 9.3. Remove All XML-Style Tags Except and
  161. 9.4. Match XML Names
  162. 9.5. Convert Plain Text to HTML by Adding

    and
    Tags

  163. 9.6. Decode XML Entities
  164. 9.7. Find a Specific Attribute in XML-Style Tags
  165. 9.8. Add a cellspacing Attribute to Tags That Do Not Already Include It
  166. 9.9. Remove XML-Style Comments
  167. 9.10. Find Words Within XML-Style Comments
  168. 9.11. Change the Delimiter Used in CSV Files
  169. 9.12. Extract CSV Fields from a Specific Column
  170. 9.13. Match INI Section Headers
  171. 9.14. Match INI Section Blocks
  172. 9.15. Match INI Name-Value Pairs
  173. Index
  174. Index
  175. Index
  176. Index
  177. Index
  178. Index
  179. Index
  180. Index
  181. Index
  182. Index
  183. Index
  184. Index
  185. Index
  186. Index
  187. Index
  188. Index
  189. Index
  190. Index
  191. Index
  192. Index
  193. Index
  194. Index
  195. Index
  196. Index
  197. Index
  198. Index
  199. About the Authors
  200. Colophon
  201. Copyright
  202. 3.20. Split a String, Keeping the Regex Matches

    Problem

    You want to split a string using a regular expression. After the split, you will have an array or list of strings with the text between the regular expression matches, as well as the regex matches themselves.

    Suppose you want to split a string with HTML tags in it along the HTML tags, and also keep the HTML tags. Splitting Ilike<b>bold</b>and<i>italic</i>fonts should result in an array of nine strings: Ilike, <b>, bold, </b>, and, <i>, italic, </i>, and fonts.

    Solution

    C#

    You can use the static call when you process only a small number of strings with the same regular expression:

    string[] splitArray = Regex.Split(subjectString, "(<[^<>]*>)");

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Regex regexObj = new Regex("(<[^<>]*>)");
    string[] splitArray = regexObj.Split(subjectString);

    VB.NET

    You can use the static call when you process only a small number of strings with the same regular expression:

    Dim SplitArray = Regex.Split(SubjectString, "(<[^<>]*>)")

    Construct a Regex object if you want to use the same regular expression with a large number of strings:

    Dim RegexObj As New Regex("(<[^<>]*>)")
    Dim SplitArray = RegexObj.Split(SubjectString)

    Java

    List<String> resultList = new ArrayList<String>();
    Pattern regex = Pattern.compile("<[^<>]*>");
    Matcher regexMatcher = regex.matcher(subjectString);
    int lastIndex = 0;
    while (regexMatcher.find()) {
        resultList.add(subjectString.substring(lastIndex,
                                               regexMatcher.start()));
        resultList.add(regexMatcher.group());
        lastIndex = regexMatcher.end();
    }
    resultList.add(subjectString.substring(lastIndex));

    JavaScript

    result = subject.split(/(<[^<>]*>)/);

    XRegExp

    result = XRegExp.split(subject, /(<[^<>]*>)/);

    PHP

    $result = preg_split('/(<[^<>]*>)/', $subject, -1,
                         PREG_SPLIT_DELIM_CAPTURE);

    Perl

    @result = split(m/(<[^<>]*>)/, $subject);

    Python

    If you have only a few strings to split, you can use the global function:

    result = re.split("(<[^<>]*>)", subject))

    To use the same regex repeatedly, use a compiled object:

    reobj = re.compile("(<[^<>]*>)")
    result = reobj.split(subject)

    Ruby

    list = []
    lastindex = 0;
    subject.scan(/<[^<>]*>/) {|match|
        list << subject[lastindex..$~.begin(0)-1];
        list << $&
        lastindex = $~.end(0)
    }
    list << subject[lastindex..subject.length()]

    Discussion

    .NET

    In .NET, the Regex.Split() method includes the text matched by capturing groups into the array. .NET 1.0 and 1.1 include only the first capturing group. .NET 2.0 and later include all capturing groups as separate strings into the array. If you want to include the overall regex match into the array, place the whole regular expression inside a capturing group. For .NET 2.0 and later, all other groups should be noncapturing, or they will be included in the array.

    The capturing groups are not included in the string count that you can pass to the Split() function. If you call regexObj.Split(subject, 4) with the example string and regex of this recipe, you’ll get an array with seven strings. Those will be the four strings with the text before, between, and after the first three regex matches, plus three strings between them with the regex matches, as captured by the only capturing group in the regular expression. Simply put, you’ll get an array with: Ilike, <b>, bold, </b>, and, <i>, and italic</i>fonts. If your regex has 10 capturing groups and you’re using .NET 2.0 or later, regexObj.Split(subject, 4) returns an array with 34 strings.

    .NET does not provide an option to exclude the capturing groups from the array. Your only solution is to replace all named and numbered capturing groups with noncapturing groups. An easy way to do this in .NET is to use RegexOptions.ExplicitCapture, and replace all named groups with normal groups (i.e., just a pair of parentheses) in your regular expression.

    Java

    Java’s Pattern.split() method does not provide the option to add the regex matches to the resulting array. Instead, we can adapt Recipe 3.12 to add the text between the regex matches along with the regex matches themselves to a list. To get the text between the matches, we use the match details explained in Recipe 3.8.

    JavaScript

    JavaScript’s string.split() function does not provide an option to control whether regex matches should be added to the array. According to the JavaScript standard, all capturing groups should have their matches added to the array.

    All the major web browsers now implement String.prototype.split() correctly. Older browsers did not always correctly add capturing groups to the returned array. If you want an implementation of String.prototype.split() that follows the standard and also works with all browsers, Steven Levithan has a solution for you at http://blog.stevenlevithan.com/archives/cross-browser-split.

    XRegExp

    When using XRegExp in JavaScript, call XRegExp.split(subject, regex) instead of subject.split(regex) for standards-compliant results in all browsers.

    PHP

    Pass PREG_SPLIT_DELIM_CAPTURE as the fourth parameter to preg_split() to include the text matched by capturing groups in the returned array. You can use the | operator to combine PREG_SPLIT_DELIM_CAPTURE with PREG_SPLIT_NO_EMPTY.

    The capturing groups are not included in the string count that you specify as the third argument to the preg_split() function. If you set the limit to four with the example string and regex of this recipe, you’ll get an array with seven strings. Those will be the four strings with the text before, between, and after the first three regex matches, plus three strings between them with the regex matches, as captured by the only capturing group in the regular expression. Simply put, you’ll get an array with: Ilike, <b>, bold, </b>, and, <i>, and italic</i>fonts.

    Perl

    Perl’s split() function includes the text matched by all capturing groups into the array. If you want to include the overall regex match into the array, place the whole regular expression inside a capturing group.

    The capturing groups are not included in the string count that you can pass to the split() function. If you call split(/(<[^<>]*>)/, $subject, 4) with the example string and regex of this recipe, you’ll get an array with seven strings. Those will be the four strings with the text before, between, and after the first three regex matches, plus three strings between them with the regex matches, as captured by the only capturing group in the regular expression. Simply put, you’ll get an array with: Ilike, <b>, bold, </b>, and, <i>, and italic</i>fonts. If your regex has 10 capturing groups, split($regex, $subject, 4) returns an array with 34 strings.

    Perl does not provide an option to exclude the capturing groups from the array. Your only solution is to replace all named and numbered capturing groups with noncapturing groups.

    Python

    Python’s split() function includes the text matched by all capturing groups into the array. If you want to include the overall regex match into the array, place the whole regular expression inside a capturing group.

    The capturing groups do not affect the number of times the string is split. If you call split(/(<[^<>]*>)/, $subject, 3) with the example string and regex of this recipe, you’ll get an array with seven strings. The string is split three times, which results in four pieces of text between the matches, plus three pieces of text matched by the capturing group. Simply put, you’ll get an array with: “I like”, “<b>”, “bold”, “</b>”, " and ", “<i>”, and “italic</i> fonts”. If your regex has 10 capturing groups, split($regex, $subject, 3) returns an array with 34 strings.

    Python does not provide an option to exclude the capturing groups from the array. Your only solution is to replace all named and numbered capturing groups with noncapturing groups.

    Ruby

    Ruby’s String.split() method does not provide the option to add the regex matches to the resulting array. Instead, we can adapt Recipe 3.11 to add the text between the regex matches along with the regex matches themselves to a list. To get the text between the matches, we use the match details explained in Recipe 3.8.

    See Also

    Recipe 2.9 explains capturing and noncapturing groups. Recipe 2.11 explains named capturing groups. Some programming languages also add text matched by capturing groups to the array when splitting a string.

    Recipe 3.19 shows code that splits a string into an array without adding the regex matches to the array.