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It is used to parse source code into concrete syntax trees usable in compilers, interpreters, text editors, and static analyzers. [1] [2] It is specialized for use in text editors, as it supports incremental parsing for updating parse trees while code is edited in real time, [3] and provides a built-in S-expression query system for analyzing ...
However, parser generators for context-free grammars often support the ability for user-written code to introduce limited amounts of context-sensitivity. (For example, upon encountering a variable declaration, user-written code could save the name and type of the variable into an external data structure, so that these could be checked against ...
The Go programming language (GC) used Bison, but switched to a hand-written scanner and parser in version 1.5. [15] LilyPond requires Bison to generate its parser. [16] MySQL [17] GNU Octave uses a Bison-generated parser. [18] Perl 5 uses a Bison-generated parser starting in 5.10. [19] The PHP programming language (Zend Parser). PostgreSQL [20]
In computer-based language recognition, ANTLR (pronounced antler), or ANother Tool for Language Recognition, is a parser generator that uses a LL(*) algorithm for parsing. . ANTLR is the successor to the Purdue Compiler Construction Tool Set (PCCTS), first developed in 1989, and is under active developm
^ XML data bindings and SOAP serialization tools provide type-safe XML serialization of programming data structures into XML. Shown are XML values that can be placed in XML elements and attributes. ^ This syntax is not compatible with the Internet-Draft, but is used by some dialects of Lisp.
Wikipedia:Computer help desk/ParseMediaWikiDump describes the Perl Parse::MediaWikiDump library, which can parse XML dumps. Wikipedia preprocessor (wikiprep.pl) is a Perl script that preprocesses raw XML dumps and builds link tables, category hierarchies, collects anchor text for each article etc.
Go was designed at Google in 2007 to improve programming productivity in an era of multicore, networked machines and large codebases. [23] The designers wanted to address criticisms of other languages in use at Google, but keep their useful characteristics: [24]
The design goals for Protocol Buffers emphasized simplicity and performance. In particular, it was designed to be smaller and faster than XML. [3] Protocol Buffers is widely used at Google for storing and interchanging all kinds of structured information.