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. 4.8. Limit Input to Alphanumeric Characters

    Problem

    Your application requires that users limit their responses to one or more alphanumeric English characters (letters A–Z and a–z, and digits 0–9).

    Solution

    With regular expressions at your disposal, the solution is dead simple. A character class can set up the allowed range of characters. With an added quantifier that repeats the character class one or more times, and anchors that bind the match to the start and end of the string, you’re good to go.

    Regular expression

    ^[A-Z0-9]+$
    Regex options: Case insensitive
    Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

Ruby example

if subject =~ /^[A-Z0-9]+$/i
    puts "Subject is alphanumeric"
else
    puts "Subject is not alphanumeric"
end

Follow Recipe 3.6 to add this regex to your code in other programming languages. Recipe 3.4 shows how to set regular expression options, including the “case insensitive” modifier used here.

Discussion

Let’s look at the four pieces of this regular expression one at a time:

^         # Assert position at the beginning of the string.
[A-Z0-9]  # Match a character from A to Z or from 0 to 9
  +       #   between one and unlimited times.
$         # Assert position at the end of the string.
Regex options: Case insensitive, free-spacing
Regex flavors: .NET, Java, XRegExp, PCRE, Perl, Python, Ruby

The ‹^› and ‹$› assertions at the beginning and end of the regular expression ensure that the entire input string is tested. Without them, the regex could match any part of a longer string, letting invalid characters through. The plus quantifier ‹+› repeats the preceding element one or more times. If you wanted to allow the regex to match an entirely empty string, you could replace the ‹+› with ‹*›. That’s because the asterisk quantifier ‹*› allows zero or more repetitions, effectively making the preceding element optional.

Variations

Limit input to ASCII characters

The following regular expression limits input to the 128 characters in the seven-bit ASCII character table. This includes 33 nonvisible control characters:

^[\x00-\x7F]+$
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

Limit input to ASCII noncontrol characters and line breaks

Use the following regular expression to limit input to visible characters and whitespace in the ASCII character table, excluding control characters. The line feed and carriage return characters (at positions 0x0A and 0x0D, respectively) are the most commonly used control characters, so they’re explicitly included using ‹\n› (line feed) and ‹\r› (carriage return):

^[\n\r\x20-\x7E]+$
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

Limit input to shared ISO-8859-1 and Windows-1252 characters

ISO-8859-1 and Windows-1252 (often called ANSI) are two commonly used eight-bit character encodings that are both based on the Latin-1 standard (or more formally, ISO/IEC 8859-1). However, the characters they map to the positions between 0x80 and 0x9F are incompatible. ISO-8859-1 uses these positions for control codes, whereas Windows-1252 uses them for an extended range of letters and punctuation. These differences sometimes lead to difficulty displaying characters, particularly with documents that do not declare their encoding or when the recipient is using a non-Windows system. The following regular expression can be used to limit input to characters that are shared by ISO-8859-1 and Windows-1252 (including shared control characters):

^[\x00-\x7F\xA0-\xFF]+$
Regex options: None
Regex flavors: .NET, Java, JavaScript, PCRE, Perl, Python, Ruby

The hexadecimal notation might make this regular expression hard to read, but it works the same way as the ‹[A-Z0-9]› character class shown earlier. It matches characters in two ranges: \x00-\x7F and \xA0-\xFF.

Limit input to alphanumeric characters in any language

This regular expression limits input to letters and numbers from any language or script:

^[\p{L}\p{M}\p{Nd}]+$
Regex options: None
Regex flavors: .NET, Java, XRegExp, PCRE, Perl, Ruby 1.9

This uses a character class that includes shorthands for all code points in the Unicode Letter, Mark, and Decimal Number categories, which follows the official Unicode definition of an alphanumeric character. The Mark category is included since marks are required for words of many languages. Marks are code points that are intended to be combined with other characters (for example, to form an accented version of a base letter).

Unfortunately, Unicode categories are not supported by all of the regular expression flavors covered by this book. Specifically, this regex will not work with JavaScript (unless using XRegExp), Python, or Ruby 1.8’s native flavor. Using this regex with PCRE requires PCRE to be compiled with UTF-8 support, and Unicode categories can be used with PHP’s preg functions (which rely on PCRE) if the /u option is appended to the regex.

The following regex shows a workaround for Python:

^[^\W_]+$
Regex options: Unicode
Regex flavors: Python

Here, we work around the lack of Unicode categories in Python by using the UNICODE or U flag when creating the regular expression. This changes the meaning of some regex tokens by making them use the Unicode character table. ‹\w› then gets us most of the way to a solution since it matches alphanumeric characters and the underscore. By using its inverse ‹\W› in a negated character class, we can remove the underscore from this set. Double negatives like this are occasionally quite useful in regular expressions, though they can be difficult to wrap your head around.[8] Python 3.x includes non-ASCII characters in shorthands like ‹\w› by default, and therefore doesn’t require the UNICODE flag.

See Also

Recipe 4.9 shows how to limit text by length instead of character set.

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 2.12 explains repetition. Recipe 2.7 explains how to match Unicode characters.


[8] For even more fun (if you have a twisted definition of fun), try creating triple, quadruple, or even greater levels of negatives by throwing in negative lookaround (see Recipe 2.16) and character class subtraction (see Flavor-Specific Features in Recipe 2.3).