|Collect your own regular expression library with RegexBuddy. |
RegexBuddy's regular expression library includes all the examples on this website, plus many more. Easily edit any of the regexes or create your own. Build your own personal regular expression library. It'll often come in handy and save you time when searching through files on your computer, writing applications or scripts, or processing text or data. Get your own copy of RegexBuddy now.
Regular expressions are very useful to manipulate source code in a text editor or in a regex-based text processing tool. Most programming languages use similar constructs like keywords, comments and strings. But often there are subtle differences that make it tricky to use the correct regex. When picking a regex from the list of examples below, be sure to read the description with each regex to make sure you are picking the correct one.
Unless otherwise indicated, all examples below assume that the dot does not match newlines and that the caret and dollar do match at embedded line breaks. In many programming languages, this means that single line mode must be off, and multi line mode must be on.
When used by themselves, these regular expressions may not have the intended result. If a comment appears inside a string, the comment regex will consider the text inside the string as a comment. The string regex will also match strings inside comments. The solution is to use more than one regular expression and to combine those into a simple parser, like in this pseudo-code:
GlobalStartPosition := 0; while GlobalStartPosition < LengthOfText do GlobalMatchPosition := LengthOfText; MatchedRegEx := NULL; foreach RegEx in RegExList do RegEx.StartPosition := GlobalStartPosition; if RegEx.Match and RegEx.MatchPosition < GlobalMatchPosition then MatchedRegEx := RegEx; GlobalMatchPosition := RegEx.MatchPosition; endif endforeach if MatchedRegEx <> NULL then // At this point, MatchedRegEx indicates which regex matched // and you can do whatever processing you want depending on // which regex actually matched. endif GlobalStartPosition := GlobalMatchPosition; endwhile
If you put a regex matching a comment and a regex matching a string in RegExList, then you can be sure that the comment regex will not match comments inside strings, and vice versa. Inside the loop you can then process the match according to whether it is a comment or a string.
An alternative solution is to combine regexes: (comment)|(string). The alternation has the same effect as the code snipped above. Iterate over all the matches of this regex. Inside the loop, check which capturing group found the regex match. If group 1 matched, you have a comment. If group two matched, you have a string. Then process the match according to that.
You can use this technique to build a full parser. Add regular expressions for all lexical elements in the language or file format you want to parse. Inside the loop, keep track of what was matched so that the following matches can be processed according to their context. For example, if curly braces need to be balanced, increment a counter when an opening brace is matched, and decrement it when a closing brace is matched. Raise an error if the counter goes negative at any point or if it is nonzero when the end of the file is reached.
#.*$ matches a single-line comment starting with a # and continuing until the end of the line. Similarly, //.*$ matches a single-line comment starting with //.
If the comment must appear at the start of the line, use ^#.*$. If only whitespace is allowed between the start of the line and the comment, use ^\s*#.*$. Compiler directives or pragmas in C can be matched this way. Note that in this last example, any leading whitespace will be part of the regex match. Use capturing parentheses to separate the whitespace and the comment.
/\*.*?\*/ matches a C-style multi-line comment if you turn on the option for the dot to match newlines. The general syntax is begin.*?end. C-style comments do not allow nesting. If the "begin" part appears inside the comment, it is ignored. As soon as the "end" part if found, the comment is closed.
If your programming language allows nested comments, there is no straightforward way to match them using a regular expression, since regular expressions cannot count. Additional logic is required.
"[^"\r\n]*" matches a single-line string that does not allow the quote character to appear inside the string. Using the negated character class is more efficient than using a lazy dot. "[^"]*" allows the string to span across multiple lines.
"[^"\\\r\n]*(?:\\.[^"\\\r\n]*)*" matches a single-line string in which the quote character can appear if it is escaped by a backslash. Though this regular expression may seem more complicated than it needs to be, it is much faster than simpler solutions which can cause a whole lot of backtracking in case a double quote appears somewhere all by itself rather than part of a string. "[^"\\]*(?:\\.[^"\\]*)*" allows the string to span multiple lines.
You can adapt the above regexes to match any sequence delimited by two (possibly different) characters. If we use b for the starting character, e and the end, and x as the escape character, the version without escape becomes b[^e\r\n]*e, and the version with escape becomes b[^ex\r\n]*(?:x.[^ex\r\n]*)*e.
\b\d+\b matches a positive integer number. Do not forget the word boundaries! [-+]?\b\d+\b allows for a sign.
\b0[xX][0-9a-fA-F]+\b matches a C-style hexadecimal number.
((\b[0-9]+)?\.)?[0-9]+\b matches an integer number as well as a floating point number with optional integer part. (\b[0-9]+\.([0-9]+\b)?|\.[0-9]+\b) matches a floating point number with optional integer as well as optional fractional part, but does not match an integer number.
((\b[0-9]+)?\.)?\b[0-9]+([eE][-+]?[0-9]+)?\b matches a number in scientific notation. The mantissa can be an integer or floating point number with optional integer part. The exponent is optional.
\b[0-9]+(\.[0-9]+)?(e[+-]?[0-9]+)?\b also matches a number in scientific notation. The difference with the previous example is that if the mantissa is a floating point number, the integer part is mandatory.
If you read through the floating point number example, you will notice that the above regexes are different from what is used there. The above regexes are more stringent. They use word boundaries to exclude numbers that are part of other things like identifiers. You can prepend [-+]? to all of the above regexes to include an optional sign in the regex. I did not do so above because in programming languages, the + and - are usually considered operators rather than signs.
Did this website just save you a trip to the bookstore? Please make a donation to support this site, and you'll get a lifetime of advertisement-free access to this site! Credit cards, PayPal, and Bitcoin gladly accepted.
Page URL: http://www.regular-expressions.info/examplesprogrammer.html
Page last updated: 19 August 2013
Site last updated: 09 May 2017
Copyright © 2003-2017 Jan Goyvaerts. All rights reserved.
|Regular Expressions Examples|
|Floating Point Numbers|
|Numeric Dates to Text|
|Credit Card Numbers|
|Matching Complete Lines|
|Deleting Duplicate Lines|
|Two Near Words|
|Making Everything Optional|
|Repeated Capturing Group|
|Mixing Unicode & 8-bit|
|Regular Expressions Quick Start|
|Regular Expressions Tutorial|
|Replacement Strings Tutorial|
|Applications and Languages|
|Regular Expressions Examples|
|Regular Expressions Reference|
|Replacement Strings Reference|
|About This Site|
|RSS Feed & Blog|
|PowerGREP is probably the most powerful regex-based text processing tool available today. A knowledge worker's Swiss army knife for searching through, extracting information from, and updating piles of files.|
|Use regular expressions to search through large numbers of text and binary files. Quickly find the files you are looking for, or extract the information you need. Look through just a handful of files or folders, or scan entire drives and network shares.|
|Search and replace using text, binary data or one or more regular expressions to automate repetitive editing tasks. Preview replacements before modifying files, and stay safe with flexible backup and undo options.|
|Use regular expressions to rename files, copy files, or merge and split the contents of files. Work with plain text files, Unicode files, binary files, compressed files, and files in proprietary formats such as MS Office, OpenOffice, and PDF. Runs on Windows XP, Vista, 7, 8, 8.1, and 10.|
|Download PowerGREP now|