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Regular Expression Flavor Comparison – Detailed comparison of the most popular regular expression flavors; Regexp Syntax Summary; Online Regular Expression Testing – with support for Java, JavaScript, .Net, PHP, Python and Ruby; Implementing Regular Expressions – series of articles by Russ Cox, author of RE2; Regular Expression Engines
In the case of a web application, the programmer may use the same regular expression to validate input on both the client and the server side of the system. An attacker could inspect the client code, looking for evil regular expressions, and send crafted input directly to the web server in order to hang it. [9]
A regular expression (shortened as regex or regexp), [1] sometimes referred to as rational expression, [2] [3] is a sequence of characters that specifies a match pattern in text. Usually such patterns are used by string-searching algorithms for "find" or "find and replace" operations on strings , or for input validation .
Other features such as code folding and autocompletion can be added. The basic regular expression search implementation is rudimentary, but if compiled with C++11 support Scintilla can support the runtime's regular expression engine. Scintilla's regular expression library can also be replaced or avoided with direct buffer access.
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
Code folding: Yes Yes [5] No Some [6] No No No No No No Yes Code snippets Yes through API/add-on Some type 'for' or 'if' then Tab No Yes No Yes JavaScript Code suggestion Yes example: Yes through esprima content assist plugin: No yes [citation needed] No CSS, HTML, JavaScript) Yes Toggle syntax highlight on/off Yes Yes No last example in demo ...
The above graph represents a state-machine that takes user input as a series of bytes representing ASCII characters and control codes. 48..57 is equivalent to the regular expression [0-9] (i.e. any digit), so only sequences beginning with a digit can be recognised. If 10 (line feed) is encountered, the program is done. 46 is the decimal point ...
Parse tree of Python code with inset tokenization. The syntax of textual programming languages is usually defined using a combination of regular expressions (for lexical structure) and Backus–Naur form (a metalanguage for grammatical structure) to inductively specify syntactic categories (nonterminal) and terminal symbols. [7]