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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 ...
This is the "regular expression" (or regexp, or regex). Its metacharacters can represent multiple possibilities for a character position or a range of character positions within a page, using metacharacters for truth logic, grouping, counting, and modifying the characters to be found.
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.
This is the "regular expression" (or regexp, or regex). Its metacharacters can represent multiple possibilities for a character position or a range of character positions within a page, using metacharacters for truth logic, grouping, counting, and modifying the characters to be found.
In computer science, an algorithm for matching wildcards (also known as globbing) is useful in comparing text strings that may contain wildcard syntax. [1] Common uses of these algorithms include command-line interfaces, e.g. the Bourne shell [2] or Microsoft Windows command-line [3] or text editor or file manager, as well as the interfaces for some search engines [4] and databases. [5]
In SQL, wildcard characters can be used in LIKE expressions; the percent sign % matches zero or more characters, and underscore _ a single character. Transact-SQL also supports square brackets ([and ]) to list sets and ranges of characters to match, a leading caret ^ negates the set and matches only a character not within the list.
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 ...