We present a formalization of a matching algorithm for extended regular expression matching based on locations and symbolic derivatives which supports intersection, complement and lookarounds and ...
We present a tool and theory RE# for regular expression matching that is built on symbolic derivatives, does not use backtracking, and, in addition to the classical operators, also supports complement ...
Plenty of analysts predicted a New York vs. Los Angeles meeting in the MLB postseason, but few projected it to happen sooner than the World Series. Thanks to a surprising late-season push from the New ...
cucumber-expressions are often more readable (especially for people that are less familiar with regular expressions) less error-prone, because a readable placeholder(s) are used for the complex ...
There are two types of people in the world: those who have no idea what a regular expression is, and those who not only know what they are but can compose them on the fly and tend to use them in ...
Meet einx, a novel Python library developed in the tensor operations landscape, offers a streamlined approach to formulating complex tensor operations using Einstein notation. Inspired by einops, einx ...
Have you ever seen this warning ⚠: What if I ask you to create this functionality🤔? You might use a lot of loops and conditional statements based on the complexity required. Regular expression or ...
Abstract: Regular expression matching is a core component of many applications including patterns search in text, deep inspection of packet or lexical analysis. Sequential regular expression matching ...
Introduction: Exome sequencing has a diagnostic yield ranging from 25% to 70% in rare diseases and regularly implicates genes in novel disorders. Retrospective data reanalysis has demonstrated strong ...
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