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. Strings

    Problem

    You need a regex that matches a string, which is a sequence of zero or more characters enclosed by double quotes. A string with nothing between the quotes is an empty string. Two sequential double quotes in a character string denote a single character, a double quote. Strings cannot include line breaks. Backslashes or other characters have no special meaning in strings.

    Your regular expression should match any string, including empty strings, and it should return a single match for strings that contain double quotes. For example, it should return "before quote""after quote" as a single match, rather than matching "before quote" and "after quote" separately.

    Solution

    "[^"\r\n]*(?:""[^"\r\n]*)*"
    Regex options: None
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

Discussion

Matching a string that cannot contain quotes or line breaks would be easy with "[^\r\n"]*". Double quotes are literal characters in regular expressions, and we can easily match a sequence of characters that are not quotes or line breaks with a negated character class.

But our strings can contain quotes if they are specified as two consecutive quotes. Matching these is not much more difficult if we handle the quotes separately. After the opening quote, we use [^\r\n"]* to match anything but quotes and line breaks. This may be followed by zero or more pairs of double quotes. We could match those with (?:"")*, but after each pair of double quotes, the string can have more characters that are not quotes or line breaks. So we match one pair of double quotes and following nonquote, nonbreak characters with ""[^\r\n"]*, or all the pairs with (?:""[^\r\n"]*)*. We end the regex with the double quote that closes the string.

The match returned by this regex will be the whole string, including enclosing quotes, and pairs of quotes inside the string. To get only the contents of the string, the code that processes the regex match needs to do some extra work. First, it should strip off the quotes at the start and the end of the match. Then it should search for all pairs of double quotes and replace them with individual double quotes.

You may wonder why we don’t simply use "(?:[^"\r\n]|"")*" to match our strings. This regex matches a pair of quotes containing (?:[^"\r\n]|"")*, which matches zero or more occurrences of any combination of two alternatives. [^"\r\n] matches a character that isn’t a double quote or a line break. "" matches a pair of double quotes. Put together, the overall regex matches a pair of double quotes containing zero or more characters that aren’t quotes or line breaks or that are a pair of double quotes. This is the definition of a string in the stated problem. This regex indeed correctly matches the strings we want, but it is not very efficient. The regular expression engine has to enter a group with two alternatives for each character in the string. With the regex from the section, the regex engine only enters a group for each pair of double quotes in the string, which is a rare occurrence.

You could try to optimize the inefficient regex as "(?:[^"\r\n]+|"")*". The idea is that this regex only enters the group for each pair of double quotes and for each sequence of characters without quotes or line breaks. That is true, as long as the regex encounters only valid strings. But if this regex is ever used on a file that contains a string without the closing quote, this will lead to catastrophic backtracking. When the closing quote fails to match, the regex engine will try each and every permutation of the plus and the asterisk in the regex to match all the characters between the string’s opening quote and the end of the line.

Table 7-1 shows how this regex attempts all different ways of matching "abcd. The cells in the table show the text matched by [^"\r\n]+. At first, it matches abcd, but when the closing quote fails to match, the + will backtrack, giving up part of its match. When it does, the * will repeat the group, causing the next iteration of [^"\r\n]+ to match the remaining characters. Now we have two iterations that will backtrack. This continues until each iteration of [^"\r\n]+ matches a single character, and «*» has repeated the group as many times as there are characters on the line.

Table 7-1. Line separators

Permutation

1st [^"\r\n]+

2nd [^"\r\n]+

3rd [^"\r\n]+

4th [^"\r\n]+

1

abcd

n/a

n/a

n/a

2

abc

d

n/a

n/a

3

ab

cd

n/a

n/a

4

ab

c

d

n/a

5

a

bcd

n/a

n/a

6

a

bc

d

n/a

7

a

b

cd

n/a

8

a

b

c

d

As you can see, the number of permutations grows exponentially[10] with the number of characters after the opening double quote. For a file with short lines, this will result in your application running slowly. For a file with very long lines, your application may lock up or crash. If you use the variant "(?:[^"]+|"")*" to match multiline strings, the permutations may run all the way to the end of the file if there are no further double quotes in the file.

You could prevent that backtracking with an atomic group, as in "(?>[^"\r\n]+|"")*", or with possessive quantifiers, as in "(?:[^"\r\n]++|"")*+", if your regex flavor supports either of these features. But having to resort to special features defeats the purpose of trying to come up with something simpler than the regex presented in the section.

Variations

Strings delimited with single quotes can be matched just as easily:

'[^'\r\n]*(?:''[^'\r\n]*)*'
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

If your language supports both single-quoted and double-quoted strings, you’ll need to handle those as separate alternatives:

"[^"\r\n]*(?:""[^"\r\n]*)*"|'[^'\r\n]*(?:''[^'\r\n]*)*'
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

If strings can include line breaks, simply remove them from the negated character classes:

"[^"]*(?:""[^"]*)*"
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

If the regex will be used in a system that needs to deal with source code files while they’re being edited, you may want to make the closing quote optional. Then everything until the end of the line will be matched as a string while it is being typed in, until the closing quote has been typed in. Syntax coloring in text editors, for example, usually works this way. Making the closing quote optional does not change how this regex works on files that only have properly closed strings. The quantifier for the closing quote is greedy, so the quote will be matched if present. The negated character classes make sure that the regex does not incorrectly match closing quotes as part of the string.

"[^"\r\n]*(?:""[^"\r\n]*)*"?
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

See Also

Techniques used in the regular expressions in this recipe are discussed in Chapter 2. Recipe 2.3 explains character classes, Recipe 2.9 explains grouping, and Recipe 2.12 explains repetition.

Recipes 2.15 and 2.14 explain catastrophic backtracking and how to avoid it with atomic grouping and possessive quantifiers.



[10] If there are n characters between the double quote and the end of the string, the regex engine will try 21/n permutations of (?:[^"\r\n]+|"")*.