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Oniguruma (鬼車) is a free and open-source regular expression library that supports a variety of character encodings written by K. Kosako. The Ruby programming language, in version 1.9, as well as PHP's multi-byte string module (since PHP5), use Oniguruma as their regular expression engine. [2]
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 .
In computer science, Thompson's construction algorithm, also called the McNaughton–Yamada–Thompson algorithm, [1] is a method of transforming a regular expression into an equivalent nondeterministic finite automaton (NFA). [2] This NFA can be used to match strings against the regular expression.
Replaces matches of multiple patterns in a given string with given replacements. For each replacement instance, the pattern matching at the lowest position is chosen. If there are multiple such patterns, then the one specified earliest in the pattern list is chosen.
Ruby 1.8, Ruby 1.9, and Ruby 2.0 and later versions use different engines; Ruby 1.9 integrates Oniguruma, Ruby 2.0 and later integrate Onigmo, a fork from Oniguruma. Rust: docs.rs: MIT License: The primary regex crate does not allow look-around expressions. There is an Oniguruma binding called onig that does. SAP ABAP
Replaces matches of multiple patterns in a given string with given replacements. For each replacement instance, the pattern matching at the lowest position is chosen. If there are multiple such patterns, then the one specified earliest in the pattern list is chosen.
Regular languages are a category of languages (sometimes termed Chomsky Type 3) which can be matched by a state machine (more specifically, by a deterministic finite automaton or a nondeterministic finite automaton) constructed from a regular expression. In particular, a regular language can match constructs like "A follows B", "Either A or B ...
However, it is a useful algorithm for multiple pattern search. To find any of a large number, say k, fixed length patterns in a text, a simple variant of the Rabin–Karp algorithm uses a Bloom filter or a set data structure to check whether the hash of a given string belongs to a set of hash values of patterns we are looking for: