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In computer science, the Krauss wildcard-matching algorithm is a pattern matching algorithm. Based on the wildcard syntax in common use, e.g. in the Microsoft Windows command-line interface, the algorithm provides a non-recursive mechanism for matching patterns in software applications, based on syntax simpler than that typically offered by regular expressions.
In computer science, pattern matching is the act of checking a given sequence of tokens for the presence of the constituents of some pattern. In contrast to pattern recognition , the match usually has to be exact: "either it will or will not be a match."
An open-source source code pattern matching and transformation. Code Dx (Defunct 2021) 2015-01-15 No; proprietary — C, C++, C# Java, JSP, Scala: JavaScript VB.NET Python PHP, Rails, Ruby, XML [4] Software application vulnerability correlation and management system that uses multiple SAST and DAST tools, as well as the results of manual code ...
Scheduler : There is a scheduling between join patterns (e.g. a round-robin scheduler, first-match scheduler). [6] Design patterns : The join-pattern is first of all a behavioral and a concurrency pattern. Concurrent programming : It's execute in a concurrent way. Pattern matching : The join-pattern works with matching tasks.
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A Dictionary-based Compressed Pattern Matching Algorithm (PDF), archived from the original (PDF) on March 13, 2003 "A unifying framework for compressed pattern matching". 1999: 89– 96. CiteSeerX 10.1.1.50.1745. {{cite journal}}: Cite journal requires |journal= "Speeding Up String Pattern Matching by Text Compression: The Dawn of a New Era" (PDF).
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]
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