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The general problem of matching any number of backreferences is NP-complete, and the execution time for known algorithms grows exponentially by the number of backreference groups used. [45] However, many tools, libraries, and engines that provide such constructions still use the term regular expression for their patterns.
A regex search scans the text of each page on Wikipedia in real time, character by character, to find pages that match a specific sequence or pattern of characters. Unlike keyword searching, regex searching is by default case-sensitive, does not ignore punctuation, and operates directly on the page source (MediaWiki markup) rather than on the ...
Greed, in regular expression context, describes the number of characters which will be matched (often also stated as "consumed") by a variable length portion of a regular expression – a token or group followed by a quantifier, which specifies a number (or range of numbers) of tokens. If the portion of the regular expression is "greedy", it ...
A regexp can accommodate for the variations found in the wikitext allowed by the permissions of wikilinks: 1) the metacharacter * allows for "zero or more" space characters before and after the title, and 2) the [character class] at the beginning allows for the relaxed capitalization of the first character in any pagename, and 3) the character ...
The two wildcard characters are * and \?, and both can come in the middle or end of a word. The escaped question mark stands for one character and the star stands for any number of characters. Because many users ask questions when searching, question marks are ignored by default, and the escaped question mark (\?) must be used for a wildcard.
matches any number of any characters including none Law* Law, Laws, or Lawyer: GrokLaw, La, or aw *Law* Law, GrokLaw, or Lawyer. La, or aw? matches any single character ?at: Cat, cat, Bat or bat: at [abc] matches one character given in the bracket [CB]at: Cat or Bat: cat, bat or CBat [a-z] matches one character from the (locale-dependent) range ...
In computer programming, leaning toothpick syndrome (LTS) is the situation in which a quoted expression becomes unreadable because it contains a large number of escape characters, usually backslashes ("\"), to avoid delimiter collision.
The regex engine is PCRE with support for Unicode characters. Beware, as regex is potentially expensive for two reasons: The time to run a regex with quantifiers can grow exponentially with the size of an edit because of PCRE's backtracking algorithm. [1] Calling each regex has a fixed overhead, so merging multiple regexes together would be ...