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. 4.10. Limit the Number of Lines in Text

    Problem

    You need to check whether a string is composed of five or fewer lines, without regard for how many total characters appear in the string.

    Solution

    The exact characters or character sequences used as line separators can vary depending on your operating system’s convention, application or user preferences, and so on. Crafting an ideal solution therefore raises questions about what conventions for indicating the start of a new line should be supported. The following solutions support the standard MS-DOS/Windows (\r\n), legacy Mac OS (\r), and Unix/Linux/BSD/OS X (\n) line break conventions.

    Regular expression

    The following three flavor-specific regexes contain two differences. The first regex uses atomic groups, written as (?>), instead of noncapturing groups, written as (?:), because they have the potential to provide a minor efficiency improvement here for the regex flavors that support them. Python and JavaScript do not support atomic groups, so they are not used with those flavors. The other difference is the tokens used to assert position at the beginning and end of the string (\A or ^ for the beginning of the string, and \z, \Z, or $ for the end). The reasons for this variation are discussed in depth later in this recipe. All three flavor-specific regexes, however, match exactly the same strings:

    \A(?>[^\r\n]*(?>\r\n?|\n)){0,4}[^\r\n]*\z
    Regex options: None
    Regex flavors: .NET, Java, PCRE, Perl, Ruby
    \A(?:[^\r\n]*(?:\r\n?|\n)){0,4}[^\r\n]*\Z
    Regex options: None
    Regex flavor: Python
    ^(?:[^\r\n]*(?:\r\n?|\n)){0,4}[^\r\n]*$
    Regex options: None (“^ and $ match at line breaks” must not be set)
    Regex flavor: JavaScript

PHP (PCRE) example

if (preg_match('/\A(?>[^\r\n]*(?>\r\n?|\n)){0,4}[^\r\n]*\z/', 
               $_POST['subject'])) {
    print 'Subject contains five or fewer lines';
} else {
    print 'Subject contains more than five lines';
}

See Recipe 3.6 for help implementing these regular expressions with other programming languages.

Discussion

All of the regular expressions shown so far in this recipe use a grouping that matches any number of non-line-break characters followed by an MS-DOS/Windows, legacy Mac OS, or Unix/Linux/BSD/OS X line break sequence. The grouping is repeated between zero and four times, since four line breaks occur in five lines of text. After the grouping, we allow one last sequence of non-line-break characters to fill out the fifth line, if present.

In the following example, we’ve broken up the first version of the regex into its individual parts. We’ll explain the variations for alternative regex flavors afterward:

\A          # Assert position at the beginning of the string.
(?>         # Group but don't capture or keep backtracking positions:
  [^\r\n]*  #   Match zero or more characters except CR and LF.
  (?>       #   Group but don't capture or keep backtracking positions:
    \r\n?   #     Match a CR, with an optional following LF (CRLF).
   |        #    Or:
    \n      #     Match a standalone LF character.
  )         #   End the noncapturing, atomic group.
){0,4}      # End group; repeat between zero and four times.
[^\r\n]*    # Match zero or more characters except CR and LF.
\z          # Assert position at the end of the string.
Regex options: Free-spacing
Regex flavors: .NET, Java, PCRE, Perl, Ruby

The leading \A matches the position at the beginning of the string, and \z matches at the end. This helps to ensure that the entire string contains no more than five lines, because unless the regex is anchored to the start and end of the text, it can match any five lines within a longer string.

Next, an atomic group (see Recipe 2.14) encloses a character class that matches any number of non-line-break characters and a subgroup that matches one line break sequence. The character class is optional (in that its following quantifier allows it to repeat zero times), but the subgroup is required and must match exactly one line break per repetition of the outer group. The outer group’s immediately following quantifier allows it to repeat between zero and four times. Zero repetitions allows matching a completely empty string, or a string with only one line (no line breaks).

Following the outer group is another character class that matches zero or more non-line-break characters. This lets the regex fill in the match with the fifth line of subject text, if present. We can’t simply omit this class and change the preceding quantifier to {0,5}, because then the text would have to end with a line break to match at all. So long as the last line was empty, it would also allow matching six lines, since six lines are separated by five line breaks. That’s no good.

In all of these regexes, the subgroup matches any of three line break sequences:

  • A carriage return followed by a line feed (\r\n, the conventional MS-DOS/Windows line break sequence)

  • A standalone carriage return (\r, the legacy Mac OS line break character)

  • A standalone line feed (\n, the conventional Unix/Linux/BSD/OS X line break character)

Now let’s move on to the cross-flavor differences.

The first version of the regex (used by all flavors except Python and JavaScript) uses atomic groups rather than simple noncapturing groups. Although in some cases the use of atomic groups can have a much more profound impact, in this case they simply let the regex engine avoid a bit of unnecessary backtracking that can occur if the match attempt fails.

The other cross-flavor differences are the tokens used to assert position at the beginning and end of the string. All of the regex flavors discussed here support ^ and $, so why do some of the regexes use \A, \Z, and \z instead? The short explanation is that the meaning of these metacharacters differs slightly between regular expression flavors. The long explanation leads us to a bit of regex history….

When using Perl to read a line from a file, the resulting string ends with a line break. Hence, Perl introduced an “enhancement” to the traditional meaning of $ that has since been copied by most regex flavors. In addition to matching the absolute end of a string, Perl’s $ matches just before a string-terminating line break. Perl also introduced two more assertions that match the end of a string: \Z and \z. Perl’s \Z anchor has the same quirky meaning as $, except that it doesn’t change when the option to let ^ and $ match at line breaks is set. \z always matches only the absolute end of a string, no exceptions. Since this recipe explicitly deals with line breaks in order to count the lines in a string, it uses the \z assertion for the regex flavors that support it, to ensure that an empty, sixth line is not allowed.

Most of the other regex flavors copied Perl’s end-of-line/string anchors. .NET, Java, PCRE, and Ruby all support both \Z and \z with the same meanings as Perl. Python includes only \Z (uppercase), but confusingly changes its meaning to match only the absolute end of the string, just like Perl’s lowercase \z. JavaScript doesn’t include any “z” anchors, but unlike all of the other flavors discussed here, its $ anchor matches only at the absolute end of the string (when the option to let ^ and $ match at line breaks is not enabled).

As for \A, the situation is somewhat better. It always matches only at the start of a string, and it means exactly the same thing in all flavors discussed here, except JavaScript (which doesn’t support it).

Tip

Although it’s unfortunate that these kinds of confusing cross-flavor inconsistencies exist, one of the benefits of using the regular expressions in this book is that you generally won’t need to worry about them. Gory details like the ones we’ve just described are included in case you care to dig deeper.

Variations

Working with esoteric line separators

The previously shown regexes limit support to the conventional MS-DOS/Windows, Unix/Linux/BSD/OS X, and legacy Mac OS line break character sequences. However, there are several rarer vertical whitespace characters that you might occasionally encounter. The following regexes take these additional characters into account while limiting matches to five lines of text or fewer

\A(?>\V*\R){0,4}\V*\z
Regex options: None
Regex flavors: PCRE 7.2 (with the PCRE_BSR_UNICODE option), Perl 5.10
\A(?>[^\n-\r\x85\x{2028}\x{2029}]*(?>\r\n?|↵
[\n-\f\x85\x{2028}\x{2029}])){0,4}[^\n-\r\x85\x{2028}\x{2029}]*\z
Regex options: None
Regex flavors: Java 7, PCRE, Perl
\A(?>[^\n-\r\u0085\u2028\u2029]*(?>\r\n?|↵
[\n-\f\u0085\u2028\u2029])){0,4}[^\n-\r\u0085\u2028\u2029]*\z
Regex options: None
Regex flavors: .NET, Java, Ruby 1.9
\A(?>[^\n-\r\x85\u2028\u2029]*(?>\r\n?|↵
[\n-\f\x85\u2028\u2029])){0,4}[^\n-\r\x85\u2028\u2029]*\z
Regex options: None
Regex flavors: .NET, Java
\A(?:[^\n-\r\x85\u2028\u2029]*(?:\r\n?|↵
[\n-\f\x85\u2028\u2029])){0,4}[^\n-\r\x85\u2028\u2029]*\Z
Regex options: None
Regex flavor: Python
^(?:[^\n-\r\x85\u2028\u2029]*(?:\r\n?|↵
[\n-\f\x85\u2028\u2029])){0,4}[^\n-\r\x85\u2028\u2029]*$
Regex options: None (“^ and $ match at line breaks” must not be set)
Regex flavor: JavaScript

Ruby 1.8 does not support Unicode regular expressions, and therefore cannot use any of these options. Ruby 1.9 does not support the shorter \xNN syntax for non-ASCII character positions (anything greater than 0x7F), and therefore must use \u0085 instead of \x85.

All of these regexes handle the line separators in Table 4-1, listed with their Unicode positions and names. This list comprises the characters that the Unicode standard recognizes as line terminators.

Table 4-1. Line separators

Unicode sequence

Regex equivalent

Name

Abbr.

Common usage

U+000D U+000A

\r\n

Carriage return and line feed

CRLF

Windows and MS-DOS text files

U+000A

\n

Line feed

LF

Unix, Linux, BSD, and OS X text files

U+000B

\v or \x0B

Line tabulation (aka vertical tab)

VT

(Rare)

U+000C

\f

Form feed

FF

(Rare)

U+000D

\r

Carriage return

CR

Legacy Mac OS text files

U+0085

\x85 or \u0085

Next line

NEL

IBM mainframe text files

U+2028

\u2028 or \x{2028}

Line separator

LS

(Rare)

U+2029

\u2029 or \x{2029}

Paragraph separator

PS

(Rare)

See Also

Recipe 4.9 shows how to limit the length of text based on characters and words, rather than lines.

Techniques used in the regular expressions in this recipe are discussed in Chapter 2. Recipe 2.2 explains how to match nonprinting characters. Recipe 2.3 explains character classes. Recipe 2.5 explains anchors. Recipe 2.7 explains how to match Unicode characters. Recipe 2.9 explains grouping. Recipe 2.12 explains repetition. Recipe 2.14 explains atomic groups.