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Pastebin.com is a text storage site. It was created on September 3, 2002 by Paul Dixon, and reached 1 million active pastes (excluding spam and expired pastes) eight years later, in 2010. It was created on September 3, 2002 by Paul Dixon, and reached 1 million active pastes (excluding spam and expired pastes) eight years later, in 2010.
In computer science, compressed pattern matching (abbreviated as CPM) is the process of searching for patterns in compressed data with little or no decompression. Searching in a compressed string is faster than searching an uncompressed string and requires less space.
A fuzzy Mediawiki search for "angry emoticon" has as a suggested result "andré emotions" In computer science, approximate string matching (often colloquially referred to as fuzzy string searching) is the technique of finding strings that match a pattern approximately (rather than exactly).
A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern. A basic example of string searching is when the pattern and the searched text are arrays of elements of an alphabet ( finite set ) Σ.
A pastebin or text storage site [1] [2] [3] is a type of online content-hosting service where users can store plain text (e.g. source code snippets for code review via Internet Relay Chat (IRC)). The most famous pastebin is the eponymous pastebin.com .
A regex pattern matches a target string. The pattern is composed of a sequence of atoms. An atom is a single point within the regex pattern which it tries to match to the target string. The simplest atom is a literal, but grouping parts of the pattern to match an atom will require using ( ) as metacharacters.
Gestalt pattern matching, [1] also Ratcliff/Obershelp pattern recognition, [2] is a string-matching algorithm for determining the similarity of two strings. It was developed in 1983 by John W. Ratcliff and John A. Obershelp and published in the Dr. Dobb's Journal in July 1988.
SNOBOL is distinctive in format and programming style, which are radically different from contemporary procedural languages such as Fortran and ALGOL.. SNOBOL4 supports a number of built-in data types, such as integers and limited precision real numbers, strings, patterns, arrays, and tables (associative arrays), and also allows the programmer to define additional data types and new functions.