Showing 10 open source projects for "backtracking"

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  • 1
    RE2/J

    RE2/J

    linear time regular expression matching in Java

    RE2/J is a high-performance regular expression engine implemented in pure Java as a port of Google’s C++ RE2 library. Unlike traditional regex engines such as Java’s java.util.regex, PCRE, or Perl’s implementation—which rely on backtracking and can suffer from catastrophic exponential runtimes—RE2/J guarantees linear-time matching relative to input size. It achieves this efficiency by simulating all possible matches in a single pass using a nondeterministic finite automaton (NFA), ensuring predictable and safe performance even with complex patterns. This makes RE2/J ideal for applications that must handle user-supplied regular expressions securely without the risk of denial-of-service through regex backtracking. ...
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  • 2
    re2

    re2

    Alternative to backtracking regular expression engines

    RE2 is a fast, safe, thread-friendly alternative to backtracking regular expression engines like those used in PCRE, Perl, and Python. It is a C++ library. This is the source code repository for RE2, a regular expression library. There is a fair amount of documentation (including code snippets) in the re2.h header file. Unless otherwise noted, the RE2 source files are distributed under the BSD-style license found in the LICENSE file.
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  • 3
    Angstrom

    Angstrom

    Parser combinators built for speed and memory efficiency

    Angstrom is a parser-combinator library in OCaml designed for high-performance applications. It provides monadic and applicative interfaces for composing parsers and supports incremental input processing. ​
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  • 4

    The Unicon Project

    A modern descendant of the Icon programming language.

    Unicon is a very high level object-oriented network- and graphics-savvy programming language with a syntax similar to Pascal or C. Goal-direction, backtracking, patterns and novel data structures make Unicon ideal for rapidly solving complex problems.
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  • 5

    soulng

    Lexer and parser generator tool for C++

    ...The spg tool takes .parser files that contain descriptions of parsers as input and produces C++ source code for parser classes as output. The parser generator produces a recursive descent top-down backtracking parser that use the lexical analyzer generated by slg to tokenize the input.
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  • 6

    From PEG to a practical parser

    Transcribe Parsing Expression Grammar into a parser written in Java.

    Tool to transcribe Parsing Expression Grammar into a parser written in Java. Parsing Expression Grammar (PEG) is a way to specify recursive-descent parsers with limited backtracking. The use of backtracking lifts the LL(1) restriction usually imposed by top-down parsers. In addition, PEG can define parsers with integrated lexing. Unlike some existing parser generators for PEG, the tool does not produce a complex and storage-hungry "packrat parser", but a collection of transparent recursive procedures. ...
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  • 7
    Pytholog

    Pytholog

    A logic programming tool and a logical database with a RESTful API

    Pytholog Tool (Command line & API) An executable tool, built in python, that enables logic programming and prolog syntax through interactive shell that mimics prolog language and / or RESTful API that can be called from other applications. The tool is based on the python library pytholog which can be found here: https://github.com/mnoorfawi/pytholog The tool starts normally from the command line. Let's look at the arguments that can be specified while initiating the tool: $...
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  • 8

    Approximate Subgraph Matching Algorithm

    Approximate Subgraph Matching Algorithm for Dependency Graphs

    The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach (http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM) algorithm that is capable of detecting approximate subgraph matching based on a subgraph distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges respectively, the total worst-case algorithm complexity is O(m^n * n(n-1)/2 * km * log m). ...
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  • 9

    Exact Subgraph Matching Algorithm

    Exact Subgraph Matching Algorithm for Dependency Graphs

    The subgraph matching problem (subgraph isomorphism) is NP-complete. We designed a simple exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach. The total worst-case algorithm complexity is O(n^2 * k^n) where n is the number of vertices and k is the vertex degree. We have demonstrated the successful usage of our algorithm in three biomedical relation and event extraction applications: BioNLP 2011 shared tasks on event extraction, Protein-Residue association detection and Protein-Protein interaction identification. ...
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  • 10
    The LALR parser generator (LPG) is a tool for developing scanners and parsers written in Java, C++ or C. Input is specified by BNF rules. LPG supports backtracking (to resolve ambiguity), automatic AST generation and grammar inheritance.
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