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A regular expression (shortened as regex or regexp; sometimes referred to as rational expression) is a sequence of characters that specifies a search 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. Regular expression techniques are developed in
theoretical computer science computer science (TCS) is a subset of general computer science and mathematics that focuses on mathematical aspects of computer science such as the theory of computation, lambda calculus, and type theory. It is difficult to circumscribe the ...
and
formal language In logic, mathematics, computer science, and linguistics, a formal language consists of words whose letters are taken from an alphabet and are well-formed according to a specific set of rules. The alphabet of a formal language consists of sym ...
theory. The concept of regular expressions began in the 1950s, when the American mathematician Stephen Cole Kleene formalized the concept of a regular language. They came into common use with
Unix Unix (; trademarked as UNIX) is a family of multitasking, multiuser computer operating systems that derive from the original AT&T Unix, whose development started in 1969 at the Bell Labs research center by Ken Thompson, Dennis Ritchie, ...
text-processing utilities. Different syntaxes for writing regular expressions have existed since the 1980s, one being the
POSIX The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. POSIX defines both the system- and user-level application programming in ...
standard and another, widely used, being the
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
syntax. Regular expressions are used in
search engine A search engine is a software system designed to carry out web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a ...
s, in search and replace dialogs of
word processor A word processor (WP) is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features. Early word processors were stand-alone devices dedicated to the function, but current ...
s and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Most general-purpose programming languages support regex capabilities either natively or via libraries, including Python, C, C++,
Java Java (; id, Jawa, ; jv, ꦗꦮ; su, ) is one of the Greater Sunda Islands in Indonesia. It is bordered by the Indian Ocean to the south and the Java Sea to the north. With a population of 151.6 million people, Java is the world's mo ...
,
Rust Rust is an iron oxide, a usually reddish-brown oxide formed by the reaction of iron and oxygen in the catalytic presence of water or air moisture. Rust consists of hydrous iron(III) oxides (Fe2O3·nH2O) and iron(III) oxide-hydroxide (FeO( ...
, OCaml, and
JavaScript JavaScript (), often abbreviated as JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS. As of 2022, 98% of websites use JavaScript on the client side for webpage behavior, of ...
.


History

Regular expressions originated in 1951, when mathematician Stephen Cole Kleene described regular languages using his mathematical notation called ''regular events''. These arose in
theoretical computer science computer science (TCS) is a subset of general computer science and mathematics that focuses on mathematical aspects of computer science such as the theory of computation, lambda calculus, and type theory. It is difficult to circumscribe the ...
, in the subfields of automata theory (models of computation) and the description and classification of
formal language In logic, mathematics, computer science, and linguistics, a formal language consists of words whose letters are taken from an alphabet and are well-formed according to a specific set of rules. The alphabet of a formal language consists of sym ...
s. Other early implementations of pattern matching include the SNOBOL language, which did not use regular expressions, but instead its own pattern matching constructs. Regular expressions entered popular use from 1968 in two uses: pattern matching in a text editor and lexical analysis in a compiler. Among the first appearances of regular expressions in program form was when Ken Thompson built Kleene's notation into the editor QED as a means to match patterns in text files. For speed, Thompson implemented regular expression matching by just-in-time compilation (JIT) to IBM 7094 code on the Compatible Time-Sharing System, an important early example of JIT compilation. He later added this capability to the Unix editor ed, which eventually led to the popular search tool grep's use of regular expressions ("grep" is a word derived from the command for regular expression searching in the ed editor: g/''re''/p meaning "Global search for Regular Expression and Print matching lines"). Around the same time when Thompson developed QED, a group of researchers including
Douglas T. Ross Douglas Taylor "Doug" Ross (21 December 1929 – 31 January 2007) was an American computer scientist pioneer, and chairman of SofTech, Inc. He is most famous for originating the term CAD for computer-aided design, and is considered to be the fat ...
implemented a tool based on regular expressions that is used for lexical analysis in
compiler In computing, a compiler is a computer program that translates computer code written in one programming language (the ''source'' language) into another language (the ''target'' language). The name "compiler" is primarily used for programs tha ...
design. Many variations of these original forms of regular expressions were used in
Unix Unix (; trademarked as UNIX) is a family of multitasking, multiuser computer operating systems that derive from the original AT&T Unix, whose development started in 1969 at the Bell Labs research center by Ken Thompson, Dennis Ritchie, ...
programs at
Bell Labs Nokia Bell Labs, originally named Bell Telephone Laboratories (1925–1984), then AT&T Bell Laboratories (1984–1996) and Bell Labs Innovations (1996–2007), is an American industrial research and scientific development company owned by mul ...
in the 1970s, including vi, lex, sed, AWK, and expr, and in other programs such as
Emacs Emacs , originally named EMACS (an acronym for "Editor MACroS"), is a family of text editors that are characterized by their extensibility. The manual for the most widely used variant, GNU Emacs, describes it as "the extensible, customizable, ...
(which has its own, incompatible syntax and behavior). Regexes were subsequently adopted by a wide range of programs, with these early forms standardized in the
POSIX.2 The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. POSIX defines both the system- and user-level application programming interf ...
standard in 1992. In the 1980s, the more complicated regexes arose in
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
, which originally derived from a regex library written by
Henry Spencer Henry Spencer (born 1955) is a Canadian computer programmer and space enthusiast. He wrote "regex", a widely used software library for regular expressions, and co-wrote C News, a Usenet server program. He also wrote ''The Ten Commandments for C P ...
(1986), who later wrote an implementation of ''Advanced Regular Expressions'' for Tcl. The Tcl library is a hybrid NFA/ DFA implementation with improved performance characteristics. Software projects that have adopted Spencer's Tcl regular expression implementation include
PostgreSQL PostgreSQL (, ), also known as Postgres, is a free and open-source relational database management system (RDBMS) emphasizing extensibility and SQL compliance. It was originally named POSTGRES, referring to its origins as a successor to the ...
. Perl later expanded on Spencer's original library to add many new features. Part of the effort in the design of Raku (formerly named Perl 6) is to improve Perl's regex integration, and to increase their scope and capabilities to allow the definition of parsing expression grammars. The result is a mini-language called Raku rules, which are used to define Raku grammar as well as provide a tool to programmers in the language. These rules maintain existing features of Perl 5.x regexes, but also allow BNF-style definition of a recursive descent parser via sub-rules. The use of regexes in structured information standards for document and database modeling started in the 1960s and expanded in the 1980s when industry standards like ISO SGML (precursored by ANSI "GCA 101-1983") consolidated. The kernel of the structure specification language standards consists of regexes. Its use is evident in the DTD element group syntax. Prior to the use of regular expressions, many search languages allowed simple wildcards, for example "*" to match any sequence of characters, and "?" to match a single character. Relics of this can be found today in the glob syntax for filenames, and in the SQL LIKE operator. Starting in 1997, Philip Hazel developed PCRE (Perl Compatible Regular Expressions), which attempts to closely mimic Perl's regex functionality and is used by many modern tools including PHP and
Apache HTTP Server The Apache HTTP Server ( ) is a free and open-source cross-platform web server software, released under the terms of Apache License 2.0. Apache is developed and maintained by an open community of developers under the auspices of the Apache S ...
. Today, regexes are widely supported in programming languages, text processing programs (particularly lexers), advanced text editors, and some other programs. Regex support is part of the
standard library In computer programming, a standard library is the library made available across implementations of a programming language. These libraries are conventionally described in programming language specifications; however, contents of a language's a ...
of many programming languages, including
Java Java (; id, Jawa, ; jv, ꦗꦮ; su, ) is one of the Greater Sunda Islands in Indonesia. It is bordered by the Indian Ocean to the south and the Java Sea to the north. With a population of 151.6 million people, Java is the world's mo ...
and Python, and is built into the syntax of others, including Perl and
ECMAScript ECMAScript (; ES) is a JavaScript standard intended to ensure the interoperability of web pages across different browsers. It is standardized by Ecma International in the documenECMA-262 ECMAScript is commonly used for client-side scripti ...
. Implementations of regex functionality is often called a regex engine, and a number of libraries are available for reuse. In the late 2010s, several companies started to offer hardware, FPGA, GPU implementations of PCRE compatible regex engines that are faster compared to
CPU A central processing unit (CPU), also called a central processor, main processor or just processor, is the electronic circuitry that executes instructions comprising a computer program. The CPU performs basic arithmetic, logic, controlling, a ...
implementations.


Patterns

The phrase ''regular expressions'', or ''regexes'', is often used to mean the specific, standard textual syntax for representing patterns for matching text, as distinct from the mathematical notation described below. Each character in a regular expression (that is, each character in the string describing its pattern) is either a metacharacter, having a special meaning, or a regular character that has a literal meaning. For example, in the regex b., 'b' is a literal character that matches just 'b', while '.' is a metacharacter that matches every character except a newline. Therefore, this regex matches, for example, 'b%', or 'bx', or 'b5'. Together, metacharacters and literal characters can be used to identify text of a given pattern or process a number of instances of it. Pattern matches may vary from a precise equality to a very general similarity, as controlled by the metacharacters. For example, . is a very general pattern, -z/nowiki> (match all lower case letters from 'a' to 'z') is less general and b is a precise pattern (matches just 'b'). The metacharacter syntax is designed specifically to represent prescribed targets in a concise and flexible way to direct the automation of text processing of a variety of input data, in a form easy to type using a standard
ASCII ASCII ( ), abbreviated from American Standard Code for Information Interchange, is a character encoding standard for electronic communication. ASCII codes represent text in computers, telecommunications equipment, and other devices. Because ...
keyboard Keyboard may refer to: Text input * Keyboard, part of a typewriter * Computer keyboard ** Keyboard layout, the software control of computer keyboards and their mapping ** Keyboard technology, computer keyboard hardware and firmware Music * Mu ...
. A very simple case of a regular expression in this syntax is to locate a word spelled two different ways in a text editor, the regular expression seriali z matches both "serialise" and "serialize". Wildcard characters also achieve this, but are more limited in what they can pattern, as they have fewer metacharacters and a simple language-base. The usual context of wildcard characters is in globbing similar names in a list of files, whereas regexes are usually employed in applications that pattern-match text strings in general. For example, the regex ^ \t, \t$ matches excess whitespace at the beginning or end of a line. An advanced regular expression that matches any numeral is -(\d+(\.\d*)?, \.\d+)( E-\d+)?. A regex processor translates a regular expression in the above syntax into an internal representation that can be executed and matched against a string representing the text being searched in. One possible approach is the Thompson's construction algorithm to construct a nondeterministic finite automaton (NFA), which is then made deterministic and the resulting deterministic finite automaton (DFA) is run on the target text string to recognize substrings that match the regular expression. The picture shows the NFA scheme ''N''(''s''*) obtained from the regular expression ''s''*, where ''s'' denotes a simpler regular expression in turn, which has already been recursively translated to the NFA ''N''(''s'').


Basic concepts

A regular expression, often called a ''pattern'', specifies a
set Set, The Set, SET or SETS may refer to: Science, technology, and mathematics Mathematics *Set (mathematics), a collection of elements *Category of sets, the category whose objects and morphisms are sets and total functions, respectively Electro ...
of strings required for a particular purpose. A simple way to specify a finite set of strings is to list its elements or members. However, there are often more concise ways: for example, the set containing the three strings "Handel", "Händel", and "Haendel" can be specified by the pattern H(ä, ae?)ndel; we say that this pattern ''matches'' each of the three strings. However, there can be many ways to write a regular expression for the same set of strings: for example, (Hän, Han, Haen)del also specifies the same set of three strings in this example. Most formalisms provide the following operations to construct regular expressions. ;Boolean "or" :A vertical bar separates alternatives. For example, can match "gray" or "grey". ;Grouping : Parentheses are used to define the scope and precedence of the operators (among other uses). For example, gray, grey and are equivalent patterns which both describe the set of "gray" or "grey". ;Quantification :A quantifier after an element (such as a
token Token may refer to: Arts, entertainment, and media * Token, a game piece or counter, used in some games * The Tokens, a vocal music group * Tolkien Black, a recurring character on the animated television series ''South Park,'' formerly known a ...
, character, or group) specifies how many times the preceding element is allowed to repeat. The most common quantifiers are the
question mark The question mark (also known as interrogation point, query, or eroteme in journalism) is a punctuation mark that indicates an interrogative clause or phrase in many languages. History In the fifth century, Syriac Bible manuscripts used ...
?, the asterisk * (derived from the Kleene star), and the plus sign + ( Kleene plus). : ;Wildcard The wildcard . matches any character. For example, a.b matches any string that contains an "a", and then any character and then "b"; and a.*b matches any string that contains an "a", and then the character "b" at some later point. These constructions can be combined to form arbitrarily complex expressions, much like one can construct arithmetical expressions from numbers and the operations +, −, ×, and ÷. The precise
syntax In linguistics, syntax () is the study of how words and morphemes combine to form larger units such as phrases and sentences. Central concerns of syntax include word order, grammatical relations, hierarchical sentence structure ( constituenc ...
for regular expressions varies among tools and with context; more detail is given in .


Formal language theory

Regular expressions describe regular languages in formal language theory. They have the same expressive power as
regular grammar In theoretical computer science and formal language theory, a regular grammar is a grammar that is ''right-regular'' or ''left-regular''. While their exact definition varies from textbook to textbook, they all require that * all production rule ...
s.


Formal definition

Regular expressions consist of constants, which denote sets of strings, and operator symbols, which denote operations over these sets. The following definition is standard, and found as such in most textbooks on formal language theory. Given a finite
alphabet An alphabet is a standardized set of basic written graphemes (called letters) that represent the phonemes of certain spoken languages. Not all writing systems represent language in this way; in a syllabary, each character represents a syllab ...
Σ, the following constants are defined as regular expressions: * (''empty set'') ∅ denoting the set ∅. * (''
empty string In formal language theory, the empty string, or empty word, is the unique string of length zero. Formal theory Formally, a string is a finite, ordered sequence of characters such as letters, digits or spaces. The empty string is the special c ...
'') ε denoting the set containing only the "empty" string, which has no characters at all. * ('' literal character'') a in Σ denoting the set containing only the character ''a''. Given regular expressions R and S, the following operations over them are defined to produce regular expressions: * (''
concatenation In formal language theory and computer programming, string concatenation is the operation of joining character strings end-to-end. For example, the concatenation of "snow" and "ball" is "snowball". In certain formalisations of concatenat ...
'') (RS) denotes the set of strings that can be obtained by concatenating a string accepted by R and a string accepted by S (in that order). For example, let R denote and S denote . Then, (RS) denotes . * ('' alternation'') (R, S) denotes the
set union In set theory, the union (denoted by ∪) of a collection of sets is the set of all elements in the collection. It is one of the fundamental operations through which sets can be combined and related to each other. A refers to a union of ze ...
of sets described by R and S. For example, if R describes and S describes , expression (R, S) describes . * ('' Kleene star'') (R*) denotes the smallest superset of the set described by ''R'' that contains ε and is
closed Closed may refer to: Mathematics * Closure (mathematics), a set, along with operations, for which applying those operations on members always results in a member of the set * Closed set, a set which contains all its limit points * Closed interval, ...
under string concatenation. This is the set of all strings that can be made by concatenating any finite number (including zero) of strings from the set described by R. For example, if R denotes , (R*) denotes the set of all finite binary strings (including the empty string). If R denotes , (R*) denotes . To avoid parentheses it is assumed that the Kleene star has the highest priority, then concatenation and then alternation. If there is no ambiguity then parentheses may be omitted. For example, (ab)c can be written as abc, and a, (b(c*)) can be written as a, bc*. Many textbooks use the symbols ∪, +, or ∨ for alternation instead of the vertical bar. Examples: * a, b* denotes * (a, b)* denotes the set of all strings with no symbols other than "a" and "b", including the empty string: * ab*(c, ε) denotes the set of strings starting with "a", then zero or more "b"s and finally optionally a "c": * (0, (1(01*0)*1))* denotes the set of binary numbers that are multiples of 3:


Expressive power and compactness

The formal definition of regular expressions is minimal on purpose, and avoids defining ? and +—these can be expressed as follows: a+ = aa*, and a? = (a, ε). Sometimes the complement operator is added, to give a ''generalized regular expression''; here ''Rc'' matches all strings over Σ* that do not match ''R''. In principle, the complement operator is redundant, because it doesn't grant any more expressive power. However, it can make a regular expression much more concise—eliminating a single complement operator can cause a double exponential blow-up of its length. Regular expressions in this sense can express the regular languages, exactly the class of languages accepted by deterministic finite automata. There is, however, a significant difference in compactness. Some classes of regular languages can only be described by deterministic finite automata whose size grows exponentially in the size of the shortest equivalent regular expressions. The standard example here is the languages ''Lk'' consisting of all strings over the alphabet whose ''k''th-from-last letter equals ''a''. On the one hand, a regular expression describing ''L''4 is given by (a\mid b)^*a(a\mid b)(a\mid b)(a\mid b). Generalizing this pattern to ''Lk'' gives the expression: (a\mid b)^*a\underbrace_. \, On the other hand, it is known that every deterministic finite automaton accepting the language ''Lk'' must have at least 2''k'' states. Luckily, there is a simple mapping from regular expressions to the more general nondeterministic finite automata (NFAs) that does not lead to such a blowup in size; for this reason NFAs are often used as alternative representations of regular languages. NFAs are a simple variation of the type-3
grammars In linguistics, the grammar of a natural language is its set of structural constraints on speakers' or writers' composition of clauses, phrases, and words. The term can also refer to the study of such constraints, a field that includes doma ...
of the Chomsky hierarchy. In the opposite direction, there are many languages easily described by a DFA that are not easily described by a regular expression. For instance, determining the validity of a given
ISBN The International Standard Book Number (ISBN) is a numeric commercial book identifier that is intended to be unique. Publishers purchase ISBNs from an affiliate of the International ISBN Agency. An ISBN is assigned to each separate edition a ...
requires computing the modulus of the integer base 11, and can be easily implemented with an 11-state DFA. However, a regular expression to answer the same problem of divisibility by 11 is at least multiple megabytes in length. Given a regular expression, Thompson's construction algorithm computes an equivalent nondeterministic finite automaton. A conversion in the opposite direction is achieved by Kleene's algorithm. Finally, it is worth noting that many real-world "regular expression" engines implement features that cannot be described by the regular expressions in the sense of formal language theory; rather, they implement ''regexes''. See
below Below may refer to: *Earth * Ground (disambiguation) *Soil *Floor * Bottom (disambiguation) *Less than *Temperatures below freezing *Hell or underworld People with the surname *Ernst von Below (1863–1955), German World War I general *Fred Below ...
for more on this.


Deciding equivalence of regular expressions

As seen in many of the examples above, there is more than one way to construct a regular expression to achieve the same results. It is possible to write an
algorithm In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing ...
that, for two given regular expressions, decides whether the described languages are equal; the algorithm reduces each expression to a minimal deterministic finite state machine, and determines whether they are
isomorphic In mathematics, an isomorphism is a structure-preserving mapping between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between them. The word i ...
(equivalent). 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 (''a''* ''b''*)* denote the same language over the alphabet Σ=. More generally, an equation ''E''=''F'' between regular-expression terms with variables holds if, and only if, its instantiation with different variables replaced by different symbol constants holds. Every regular expression can be written solely in terms of the Kleene star and
set union In set theory, the union (denoted by ∪) of a collection of sets is the set of all elements in the collection. It is one of the fundamental operations through which sets can be combined and related to each other. A refers to a union of ze ...
s. This is a surprisingly difficult problem. As simple as the regular expressions are, there is no method to systematically rewrite them to some normal form. The lack of axiom in the past led to the
star height problem The star height problem in formal language theory is the question whether all regular languages can be expressed using regular expressions of limited star height, i.e. with a limited nesting depth of Kleene stars. Specifically, is a nesting dept ...
. In 1991, Dexter Kozen axiomatized regular expressions as a Kleene algebra, using equational and Horn clause axioms. Already in 1964, Redko had proved that no finite set of purely equational axioms can characterize the algebra of regular languages.


Syntax

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. Metacharacters help form: ''atoms''; ''quantifiers'' telling how many atoms (and whether it is a ''greedy'' quantifier or not); a logical OR character, which offers a set of alternatives, and a logical NOT character, which negates an atom's existence; and backreferences to refer to previous atoms of a completing pattern of atoms. A match is made, not when all the atoms of the string are matched, but rather when all the pattern atoms in the regex have matched. The idea is to make a small pattern of characters stand for a large number of possible strings, rather than compiling a large list of all the literal possibilities. Depending on the regex processor there are about fourteen metacharacters, characters that may or may not have their
literal Literal may refer to: * Interpretation of legal concepts: ** Strict constructionism ** The plain meaning rule The plain meaning rule, also known as the literal rule, is one of three rules of statutory construction traditionally applied by ...
character meaning, depending on context, or whether they are "escaped", i.e. preceded by an escape sequence, in this case, the backslash \. Modern and POSIX extended regexes use metacharacters more often than their literal meaning, so to avoid "backslash-osis" or
leaning toothpick syndrome In computer programming, leaning toothpick syndrome (LTS) is the situation in which a quoted expression becomes unreadable because it contains a large number of escape characters, usually backslashes ("\"), to avoid delimiter collision. The offici ...
it makes sense to have a metacharacter escape to a literal mode; but starting out, it makes more sense to have the four bracketing metacharacters ( ) and be primarily literal, and "escape" this usual meaning to become metacharacters. Common standards implement both. The usual metacharacters are []()^$., *+? and \. The usual characters that become metacharacters when escaped are dswDSW and N.


Delimiters

When entering a regex in a programming language, they may be represented as a usual string literal, hence usually quoted; this is common in C, Java, and Python for instance, where the regex re is entered as "re". However, they are often written with slashes as delimiters, as in /re/ for the regex re. This originates in ed, where / is the editor command for searching, and an expression /re/ can be used to specify a range of lines (matching the pattern), which can be combined with other commands on either side, most famously g/re/p as in grep ("global regex print"), which is included in most
Unix Unix (; trademarked as UNIX) is a family of multitasking, multiuser computer operating systems that derive from the original AT&T Unix, whose development started in 1969 at the Bell Labs research center by Ken Thompson, Dennis Ritchie, ...
-based operating systems, such as
Linux Linux ( or ) is a family of open-source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991, by Linus Torvalds. Linux is typically packaged as a Linux distribution, whi ...
distributions. A similar convention is used in sed, where search and replace is given by s/re/replacement/ and patterns can be joined with a comma to specify a range of lines as in /re1/,/re2/. This notation is particularly well known due to its use in
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
, where it forms part of the syntax distinct from normal string literals. In some cases, such as sed and Perl, alternative delimiters can be used to avoid collision with contents, and to avoid having to escape occurrences of the delimiter character in the contents. For example, in sed the command s,/,X, will replace a / with an X, using commas as delimiters.


Standards

The
IEEE The Institute of Electrical and Electronics Engineers (IEEE) is a 501(c)(3) professional association for electronic engineering and electrical engineering (and associated disciplines) with its corporate office in New York City and its operati ...
POSIX The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. POSIX defines both the system- and user-level application programming in ...
standard has three sets of compliance: BRE (Basic Regular Expressions), ERE (Extended Regular Expressions), and SRE (Simple Regular Expressions). SRE is deprecated, in favor of BRE, as both provide
backward compatibility Backward compatibility (sometimes known as backwards compatibility) is a property of an operating system, product, or technology that allows for interoperability with an older legacy system, or with input designed for such a system, especiall ...
. The subsection below covering the ''character classes'' applies to both BRE and ERE. BRE and ERE work together. ERE adds ?, +, and , , and it removes the need to escape the metacharacters ( ) and , which are ''required'' in BRE. Furthermore, as long as the POSIX standard syntax for regexes is adhered to, there can be, and often is, additional syntax to serve specific (yet POSIX compliant) applications. Although POSIX.2 leaves some implementation specifics undefined, BRE and ERE provide a "standard" which has since been adopted as the default syntax of many tools, where the choice of BRE or ERE modes is usually a supported option. For example, GNU grep has the following options: "grep -E" for ERE, and "grep -G" for BRE (the default), and "grep -P" for
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
regexes. Perl regexes have become a de facto standard, having a rich and powerful set of atomic expressions. Perl has no "basic" or "extended" levels. As in POSIX EREs, ( ) and are treated as metacharacters unless escaped; other metacharacters are known to be literal or symbolic based on context alone. Additional functionality includes lazy matching, backreferences, named capture groups, and recursive patterns.


POSIX basic and extended

In the
POSIX The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. POSIX defines both the system- and user-level application programming in ...
standard, Basic Regular Syntax (BRE) requires that the metacharacters ( ) and be designated \(\) and \, whereas Extended Regular Syntax (ERE) does not. Examples: * .at matches any three-character string ending with "at", including "hat", "cat", "bat", "4at", "#at" and " at" (starting with a space). * ct matches "hat" and "cat". * bt matches all strings matched by .at except "bat". * hct matches all strings matched by .at other than "hat" and "cat". * ^ ct matches "hat" and "cat", but only at the beginning of the string or line. * ct$ matches "hat" and "cat", but only at the end of the string or line. * \ \/code> matches any single character surrounded by " and " since the brackets are escaped, for example: " , " , " , " , "[", and "[ ]" (bracket space bracket). * s.* matches s followed by zero or more characters, for example: "s", "saw", "seed", "s3w96.7", and "s6#h%(>>>m n mQ".


POSIX extended

The meaning of metacharacters escaped with a backslash is reversed for some characters in the POSIX Extended Regular Expression (ERE) syntax. With this syntax, a backslash causes the metacharacter to be treated as a literal character. So, for example, \( \) is now ( ) and \ is now . Additionally, support is removed for \''n'' backreferences and the following metacharacters are added: Examples: * cat matches "at", "hat", and "cat". * cat matches "at", "hat", "cat", "hhat", "chat", "hcat", "cchchat", and so on. * cat matches "hat", "cat", "hhat", "chat", "hcat", "cchchat", and so on, but not "at". * cat, dog matches "cat" or "dog". POSIX Extended Regular Expressions can often be used with modern Unix utilities by including the command line flag -E.


Character classes

The character class is the most basic regex concept after a literal match. It makes one small sequence of characters match a larger set of characters. For example, -Z/syntaxhighlight> could stand for any uppercase letter in the English alphabet, and \d could mean any digit. Character classes apply to both POSIX levels. When specifying a range of characters, such as -Z/syntaxhighlight> (i.e. lowercase ''a'' to uppercase ''Z''), the computer's locale settings determine the contents by the numeric ordering of the character encoding. They could store digits in that sequence, or the ordering could be ''abc…zABC…Z'', or ''aAbBcC…zZ''. So the POSIX standard defines a character class, which will be known by the regex processor installed. Those definitions are in the following table: POSIX character classes can only be used within bracket expressions. For example, :upper:b] matches the uppercase letters and lowercase "a" and "b". An additional non-POSIX class understood by some tools is word:/syntaxhighlight>, which is usually defined as alnum:/syntaxhighlight> plus underscore. This reflects the fact that in many programming languages these are the characters that may be used in identifiers. The editor Vim further distinguishes ''word'' and ''word-head'' classes (using the notation \w and \h) since in many programming languages the characters that can begin an identifier are not the same as those that can occur in other positions: numbers are generally excluded, so an identifier would look like \h\w* or :alpha:] :alnum:]* in POSIX notation. Note that what the POSIX regex standards call ''character classes'' are commonly referred to as ''POSIX character classes'' in other regex flavors which support them. With most other regex flavors, the term ''character class'' is used to describe what POSIX calls ''bracket expressions''.


Perl and PCRE

Because of its expressive power and (relative) ease of reading, many other utilities and programming languages have adopted syntax similar to
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
's — for example,
Java Java (; id, Jawa, ; jv, ꦗꦮ; su, ) is one of the Greater Sunda Islands in Indonesia. It is bordered by the Indian Ocean to the south and the Java Sea to the north. With a population of 151.6 million people, Java is the world's mo ...
,
JavaScript JavaScript (), often abbreviated as JS, is a programming language that is one of the core technologies of the World Wide Web, alongside HTML and CSS. As of 2022, 98% of websites use JavaScript on the client side for webpage behavior, of ...
, Julia (programming language), Julia, Python,
Ruby A ruby is a pinkish red to blood-red colored gemstone, a variety of the mineral corundum ( aluminium oxide). Ruby is one of the most popular traditional jewelry gems and is very durable. Other varieties of gem-quality corundum are called ...
, Qt, Microsoft's
.NET Framework The .NET Framework (pronounced as "''dot net"'') is a proprietary software framework developed by Microsoft that runs primarily on Microsoft Windows. It was the predominant implementation of the Common Language Infrastructure (CLI) until bein ...
, and XML Schema. Some languages and tools such as Boost and PHP support multiple regex flavors. Perl-derivative regex implementations are not identical and usually implement a subset of features found in Perl 5.0, released in 1994. Perl sometimes does incorporate features initially found in other languages. For example, Perl 5.10 implements syntactic extensions originally developed in PCRE and Python.


Lazy matching

In Python and some other implementations (e.g. Java), the three common quantifiers (*, + and ?) are greedy by default because they match as many characters as possible. The regex ".+" (including the double-quotes) applied to the string "Ganymede," he continued, "is the largest moon in the Solar System." matches the entire line (because the entire line begins and ends with a double-quote) instead of matching only the first part, "Ganymede,". The aforementioned quantifiers may, however, be made ''lazy'' or ''minimal'' or ''reluctant'', matching as few characters as possible, by appending a question mark: ".+?" matches only "Ganymede,".


Possessive matching

In Java and Python 3.11+, quantifiers may be made ''possessive'' by appending a plus sign, which disables backing off (in a backtracking engine), even if doing so would allow the overall match to succeed: While the regex ".*" applied to the string "Ganymede," he continued, "is the largest moon in the Solar System." matches the entire line, the regex ".*+" does , because .*+ consumes the entire input, including the final ". Thus, possessive quantifiers are most useful with negated character classes, e.g. " "+", which matches "Ganymede," when applied to the same string. Another common extension serving the same function is atomic grouping, which disables backtracking for a parenthesized group. The typical syntax is . For example, while matches both and , only matches because the engine is forbidden from backtracking and so cannot try setting the group to "w" after matching "wi". Possessive quantifiers are easier to implement than greedy and lazy quantifiers, and are typically more efficient at runtime.


Patterns for non-regular languages

Many features found in virtually all modern regular expression libraries provide an expressive power that exceeds the regular languages. For example, many implementations allow grouping subexpressions with parentheses and recalling the value they match in the same expression ('). This means that, among other things, a pattern can match strings of repeated words like "papa" or "WikiWiki", called ''squares'' in formal language theory. The pattern for these strings is (.+)\1. The language of squares is not regular, nor is it context-free, due to the pumping lemma. However, pattern matching with an unbounded number of backreferences, as supported by numerous modern tools, is still context sensitive. The general problem of matching any number of backreferences is NP-complete, growing exponentially by the number of backref groups used. However, many tools, libraries, and engines that provide such constructions still use the term ''regular expression'' for their patterns. This has led to a nomenclature where the term regular expression has different meanings in formal language theory and pattern matching. For this reason, some people have taken to using the term ''regex'', ''regexp'', or simply ''pattern'' to describe the latter. Larry Wall, author of the Perl programming language, writes in an essay about the design of Raku:


Assertions

Other features not found in describing regular languages include assertions. These include the ubiquitous and , used since at least 1970, as well as some more sophisticated extensions like lookaround that appeared in 1994. Lookarounds define the surrounding of a match and don't spill into the match itself, a feature only relevant for the use case of string searching. Some of them can be simulated in a regular language by treating the surroundings as a part of the language as well. The look-ahead assertions (?=…) and (?!…) have been attested since at least 1994, starting with Perl 5. The look-behind assertions (?<=…) and (? are attested since 1997 in a commit by Ilya Zakharevich to Perl 5.005.


Implementations and running times

There are at least three different
algorithm In mathematics and computer science, an algorithm () is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Algorithms are used as specifications for performing ...
s that decide whether and how a given regex matches a string. The oldest and fastest relies on a result in formal language theory that allows every nondeterministic finite automaton (NFA) to be transformed into a deterministic finite automaton (DFA). The DFA can be constructed explicitly and then run on the resulting input string one symbol at a time. Constructing the DFA for a regular expression of size ''m'' has the time and memory cost of ''O''(2''m''), but it can be run on a string of size ''n'' in time ''O''(''n''). Note that the size of the expression is the size after abbreviations, such as numeric quantifiers, have been expanded. An alternative approach is to simulate the NFA directly, essentially building each DFA state on demand and then discarding it at the next step. This keeps the DFA implicit and avoids the exponential construction cost, but running cost rises to ''O''(''mn''). The explicit approach is called the DFA algorithm and the implicit approach the NFA algorithm. Adding caching to the NFA algorithm is often called the "lazy DFA" algorithm, or just the DFA algorithm without making a distinction. These algorithms are fast, but using them for recalling grouped subexpressions, lazy quantification, and similar features is tricky. Modern implementations include the re1-re2-sregex family based on Cox's code. The third algorithm is to match the pattern against the input string by backtracking. This algorithm is commonly called NFA, but this terminology can be confusing. Its running time can be exponential, which simple implementations exhibit when matching against expressions like that contain both alternation and unbounded quantification and force the algorithm to consider an exponentially increasing number of sub-cases. This behavior can cause a security problem called
Regular expression Denial of Service A regular expression denial of service (ReDoS) is an algorithmic complexity attack that produces a denial-of-service by providing a regular expression and/or an input that takes a long time to evaluate. The attack exploits the fact that many regu ...
(ReDoS). Although backtracking implementations only give an exponential guarantee in the worst case, they provide much greater flexibility and expressive power. For example, any implementation which allows the use of backreferences, or implements the various extensions introduced by Perl, must include some kind of backtracking. Some implementations try to provide the best of both algorithms by first running a fast DFA algorithm, and revert to a potentially slower backtracking algorithm only when a backreference is encountered during the match. GNU grep (and the underlying gnulib DFA) uses such a strategy. Sublinear runtime algorithms have been achieved using Boyer-Moore (BM) based algorithms and related DFA optimization techniques such as the reverse scan. GNU grep, which supports a wide variety of POSIX syntaxes and extensions, uses BM for a first-pass prefiltering, and then uses an implicit DFA. Wu
agrep agrep (approximate grep) is an open-source approximate string matching program, developed by Udi Manber and Sun Wu between 1988 and 1991, for use with the Unix operating system. It was later ported to OS/2, DOS, and Windows. It selects the best-s ...
, which implements approximate matching, combines the prefiltering into the DFA in BDM (backward DAWG matching). NR-grep's BNDM extends the BDM technique with Shift-Or bit-level parallelism. A few theoretical alternatives to backtracking for backreferences exist, and their "exponents" are tamer in that they are only related to the number of backreferences, a fixed property of some regexp languages such as POSIX. One naive method that duplicates a non-backtracking NFA for each backreference note has a complexity of time and space for a haystack of length n and k backreferences in the RegExp. A very recent theoretical work based on memory automata gives a tighter bound based on "active" variable nodes used, and a polynomial possibility for some backreferenced regexps.


Unicode

In theoretical terms, any token set can be matched by regular expressions as long as it is pre-defined. In terms of historical implementations, regexes were originally written to use
ASCII ASCII ( ), abbreviated from American Standard Code for Information Interchange, is a character encoding standard for electronic communication. ASCII codes represent text in computers, telecommunications equipment, and other devices. Because ...
characters as their token set though regex libraries have supported numerous other character sets. Many modern regex engines offer at least some support for
Unicode Unicode, formally The Unicode Standard,The formal version reference is is an information technology standard for the consistent encoding, representation, and handling of text expressed in most of the world's writing systems. The standard, ...
. In most respects it makes no difference what the character set is, but some issues do arise when extending regexes to support Unicode. * Supported encoding. Some regex libraries expect to work on some particular encoding instead of on abstract Unicode characters. Many of these require the
UTF-8 UTF-8 is a variable-length character encoding used for electronic communication. Defined by the Unicode Standard, the name is derived from ''Unicode'' (or ''Universal Coded Character Set'') ''Transformation Format 8-bit''. UTF-8 is capable of e ...
encoding, while others might expect UTF-16, or UTF-32. In contrast, Perl and Java are agnostic on encodings, instead operating on decoded characters internally. * Supported Unicode range. Many regex engines support only the
Basic Multilingual Plane In the Unicode standard, a plane is a continuous group of 65,536 (216) code points. There are 17 planes, identified by the numbers 0 to 16, which corresponds with the possible values 00–1016 of the first two positions in six position hexadeci ...
, that is, the characters which can be encoded with only 16 bits. Currently (as of ) only a few regex engines (e.g., Perl's and Java's) can handle the full 21-bit Unicode range. * Extending ASCII-oriented constructs to Unicode. For example, in ASCII-based implementations, character ranges of the form -y/code> are valid wherever ''x'' and ''y'' have code points in the range x00,0x7Fand codepoint(''x'') ≤ codepoint(''y''). The natural extension of such character ranges to Unicode would simply change the requirement that the endpoints lie in x00,0x7Fto the requirement that they lie in x0000,0x10FFFF However, in practice this is often not the case. Some implementations, such as that of gawk, do not allow character ranges to cross Unicode blocks. A range like x61,0x7Fis valid since both endpoints fall within the Basic Latin block, as is x0530,0x0560since both endpoints fall within the Armenian block, but a range like x0061,0x0532is invalid since it includes multiple Unicode blocks. Other engines, such as that of the Vim editor, allow block-crossing but the character values must not be more than 256 apart. * Case insensitivity. Some case-insensitivity flags affect only the ASCII characters. Other flags affect all characters. Some engines have two different flags, one for ASCII, the other for Unicode. Exactly which characters belong to the POSIX classes also varies. * Cousins of case insensitivity. As ASCII has case distinction, case insensitivity became a logical feature in text searching. Unicode introduced alphabetic scripts without case like
Devanagari Devanagari ( ; , , Sanskrit pronunciation: ), also called Nagari (),Kathleen Kuiper (2010), The Culture of India, New York: The Rosen Publishing Group, , page 83 is a left-to-right abugida (a type of segmental writing system), based on the ...
. For these, case sensitivity is not applicable. For scripts like Chinese, another distinction seems logical: between traditional and simplified. In Arabic scripts, insensitivity to initial, medial, final, and isolated position may be desired. In Japanese, insensitivity between
hiragana is a Japanese syllabary, part of the Japanese writing system, along with ''katakana'' as well as ''kanji''. It is a phonetic lettering system. The word ''hiragana'' literally means "flowing" or "simple" kana ("simple" originally as contras ...
and
katakana is a Japanese syllabary, one component of the Japanese writing system along with hiragana, kanji and in some cases the Latin script (known as rōmaji). The word ''katakana'' means "fragmentary kana", as the katakana characters are derived f ...
is sometimes useful. * Normalization. Unicode has
combining characters In digital typography, combining characters are characters that are intended to modify other characters. The most common combining characters in the Latin script are the combining diacritical marks (including combining accents). Unicode also ...
. Like old typewriters, plain base characters (white spaces, punctuation characters, symbols, digits, or letters) can be followed by one or more non-spacing symbols (usually diacritics, like accent marks modifying letters) to form a single printable character; but Unicode also provides a limited set of precomposed characters, i.e. characters that already include one or more combining characters. A sequence of a base character + combining characters should be matched with the identical single precomposed character (only some of these combining sequences can be precomposed into a single Unicode character, but infinitely many other combining sequences are possible in Unicode, and needed for various languages, using one or more combining characters after an initial base character; these combining sequences ''may'' include a base character or combining characters partially precomposed, but not necessarily in canonical order and not necessarily using the canonical precompositions). The process of standardizing sequences of a base character + combining characters by decomposing these ''canonically equivalent'' sequences, before reordering them into canonical order (and optionally recomposing ''some'' combining characters into the leading base character) is called normalization. * New control codes. Unicode introduced amongst others, byte order marks and text direction markers. These codes might have to be dealt with in a special way. * Introduction of character classes for Unicode blocks, scripts, and numerous other character properties. Block properties are much less useful than script properties, because a block can have code points from several different scripts, and a script can have code points from several different blocks. In
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
and the library, properties of the form \p or \p match characters in block ''X'' and \P or \P matches code points not in that block. Similarly, \p, \p, or \p matches any character in the Armenian script. In general, \p matches any character with either the binary property ''X'' or the general category ''X''. For example, \p, \p, or \p matches any uppercase letter. Binary properties that are ''not'' general categories include \p, \p, \p, and \p. Examples of non-binary properties are \p, \p, and \p.


Uses

Regexes are useful in a wide variety of text processing tasks, and more generally
string processing String functions are used in computer programming languages to manipulate a string or query information about a string (some do both). Most programming languages that have a string datatype will have some string functions although there may ...
, where the data need not be textual. Common applications include data validation, data scraping (especially web scraping),
data wrangling Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one " raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes ...
, simple
parsing Parsing, syntax analysis, or syntactic analysis is the process of analyzing a string of symbols, either in natural language, computer languages or data structures, conforming to the rules of a formal grammar. The term ''parsing'' comes from ...
, the production of syntax highlighting systems, and many other tasks. While regexes would be useful on Internet
search engine A search engine is a software system designed to carry out web searches. They search the World Wide Web in a systematic way for particular information specified in a textual web search query. The search results are generally presented in a ...
s, processing them across the entire database could consume excessive computer resources depending on the complexity and design of the regex. Although in many cases system administrators can run regex-based queries internally, most search engines do not offer regex support to the public. Notable exceptions include
Google Code Search Google Code Search was a free beta product from Google which debuted in Google Labs on October 5, 2006, allowing web users to search for open-source code on the Internet. Features included the ability to search using operators, namely , , , a ...
and Exalead. However, Google Code Search was shut down in January 2012.


Examples

The specific syntax rules vary depending on the specific implementation,
programming language A programming language is a system of notation for writing computer programs. Most programming languages are text-based formal languages, but they may also be graphical. They are a kind of computer language. The description of a programming ...
, or
library A library is a collection of materials, books or media that are accessible for use and not just for display purposes. A library provides physical (hard copies) or digital access (soft copies) materials, and may be a physical location or a vi ...
in use. Additionally, the functionality of regex implementations can vary between versions. Because regexes can be difficult to both explain and understand without examples, interactive websites for testing regexes are a useful resource for learning regexes by experimentation. This section provides a basic description of some of the properties of regexes by way of illustration. The following conventions are used in the examples.The character 'm' is not always required to specify a
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
match operation. For example, m/ abc could also be rendered as / abc. The 'm' is only necessary if the user wishes to specify a match operation without using a forward-slash as the regex delimiter. Sometimes it is useful to specify an alternate regex delimiter in order to avoid " delimiter collision". See
perldoc perlre
' for more details.
metacharacter(s) ;; the metacharacters column specifies the regex syntax being demonstrated =~ m// ;; indicates a regex ''match'' operation in Perl =~ s/// ;; indicates a regex ''substitution'' operation in Perl Also worth noting is that these regexes are all Perl-like syntax. Standard
POSIX The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. POSIX defines both the system- and user-level application programming in ...
regular expressions are different. Unless otherwise indicated, the following examples conform to the
Perl Perl is a family of two high-level, general-purpose, interpreted, dynamic programming languages. "Perl" refers to Perl 5, but from 2000 to 2019 it also referred to its redesigned "sister language", Perl 6, before the latter's name was offic ...
programming language, release 5.8.8, January 31, 2006. This means that other implementations may lack support for some parts of the syntax shown here (e.g. basic vs. extended regex, \( \) vs. (), or lack of \d instead of
POSIX The Portable Operating System Interface (POSIX) is a family of standards specified by the IEEE Computer Society for maintaining compatibility between operating systems. POSIX defines both the system- and user-level application programming in ...
digit:/code>). The syntax and conventions used in these examples coincide with that of other programming environments as well.E.g., see ''
Java Java (; id, Jawa, ; jv, ꦗꦮ; su, ) is one of the Greater Sunda Islands in Indonesia. It is bordered by the Indian Ocean to the south and the Java Sea to the north. With a population of 151.6 million people, Java is the world's mo ...
in a Nutshell'', p. 213; '' Python Scripting for Computational Science'', p. 320; Programming PHP, p. 106.


Induction

Regular expressions can often be created ("induced" or "learned") based on a set of example strings. This is known as the
induction of regular languages In computational learning theory, induction of regular languages refers to the task of learning a formal description (e.g. grammar) of a regular language from a given set of example strings. Although E. Mark Gold has shown that not every regular la ...
and is part of the general problem of grammar induction in computational learning theory. Formally, given examples of strings in a regular language, and perhaps also given examples of strings ''not'' in that regular language, it is possible to induce a grammar for the language, i.e., a regular expression that generates that language. Not all regular languages can be induced in this way (see language identification in the limit), but many can. For example, the set of examples , and negative set (of counterexamples) can be used to induce the regular expression 1⋅0* (1 followed by zero or more 0s).


See also

* Comparison of regular-expression engines * Extended Backus–Naur form *
Matching wildcards In computer science, an algorithm for matching wildcards (also known as globbing) is useful in comparing text strings that may contain wildcard syntax. Common uses of these algorithms include command-line interfaces, e.g. the Bourne shell or Micro ...
* Regular tree grammar *
Thompson's construction In computer science, Thompson's construction algorithm, also called the McNaughton–Yamada–Thompson algorithm, is a method of transforming a regular expression into an equivalent nondeterministic finite automaton (NFA). This NFA can be used to ...
– converts a regular expression into an equivalent nondeterministic finite automaton (NFA)


Notes


References

* * * * * * * * * * * * * * * * * * * * *


External links

* * * ISO/IEC 9945-2:199
''Information technology – Portable Operating System Interface (POSIX) – Part 2: Shell and Utilities''
* ISO/IEC 9945-2:200

* ISO/IEC 9945-2:2003 ttp://www.iso.org/iso/iso_catalogue/catalogue_ics/catalogue_detail_ics.htm?csnumber=38790 ''Information technology – Portable Operating System Interface (POSIX) – Part 2: System Interfaces''* ISO/IEC/IEEE 9945:200
''Information technology – Portable Operating System Interface (POSIX®) Base Specifications, Issue 7''


{{Authority control Automata (computation) Formal languages Pattern matching Programming constructs Articles with example code 1951 introductions