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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
Check the Android Source code thoroughly to uncover and address potential security concerns and vulnerabilities. Static application security testing (Static Code Analysis) tool Online Semgrep: 2025-01-29 (1.106.0) Yes; LGPL v2.1 — — Java JavaScript, TypeScript — Python Go, JSON, PHP, Ruby, language-agnostic mode
Algebraic laws for regular expressions can be obtained using a method by Gischer which is best explained along an example: In order to check whether (X+Y) ∗ and (X ∗ Y ∗) ∗ denote the same regular language, for all regular expressions X, Y, it is necessary and sufficient to check whether the particular regular expressions (a+b) ∗ and ...
As of version 6.0, the Squish GUI Tester fully integrates support for behavior-driven development (BDD) and testing extended by special functionality to apply this to GUI tests. Squish is compatible with the Gherkin (domain-specific language) used in tools such as Cucumber. [citation needed] Squish is shipped with the full source code. [4]
Js-test-runner: No: Yes: Yes [236] A JUnit test runner that runs JavaScript tests. The goal of the JS Test Runner is to be able to test JavaScript code using an approach that test driven programmers will feel comfortable with; particularly in the context of Continuous Integration. Sinon.js: Compatible: Yes: Yes [237]
RE2 is a software library which implements a regular expression engine. It uses finite-state machines, in contrast to most other regular expression libraries. RE2 supports a C++ interface. RE2 was implemented by Google and Google uses RE2 for Google products. [3]
Originally, Rhino compiled all JavaScript code to Java bytecode in generated Java class files. This produced the best performance, often beating the C++ implementation of JavaScript run with just-in-time compilation (JIT), but suffered from two faults. First, compiling time was long since generating bytecode and loading the generated classes ...
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]