Search Results for "python parser with javacc" - Page 2
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Showing 61 open source projects for "python parser with javacc"
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fntrace is a powerfull shell used for hack and automate many hardless tasks. It permite to manipulate easily binary files like elf and some else. It based on modules for extending functionalities; you can write it on perl python or C.
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A parser that can parse LATEX source code and generate a report. It points out syntactic errors, suggest improvements to code(in a syntactic sense). Works with all common LATEX classes as well as common packages and new macros.
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Picxml is a tool for xml files management. Used as command: Picxml is a shell friendly, xpath like query tool. Used as library: picxml, is a full featured xml Parser, wich allows you to navigate, find/create/update/delete/print nodes.
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Java exception extractor. This utility will parse all files (either plain text or bzipped) and tries to search for various exceptions. It then tries to match exceptions against grouping rules (regexps). It is also able to group unrecognised exceptions.
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WSFuzzer is a fuzzing penetration testing tool used against HTTP SOAP based web services. It tests numerous aspects (input validation, XML Parser, etc) of the SOAP target. It is only to be used against targets that have granted permission to be teste
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Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
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CTypes-based python bindings to the GSASL library (www.gnu.org/software/gsasl ). This package provides a parser that generates python code w/ types checking and more pythonish feel than just plain usage of the library through ctypes.
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dynoparse (dynamic option parser) is a python package that implements a flexible and configurable way for cli option handling.
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A parser generator derived from ANTLR with JavaCC like (but not the same) syntax and some new features. It also comes with sample grammars for CSharp, Java, GnuC, Html, XHtml, Xml, ECMA262... etc.
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Berkeley Yacc is an LALR(1) parser generator. Berkeley Yacc has been made as compatible as possible with AT&T Yacc. Berkeley Yacc has been extended to generate Python, Perl and Java code.
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A JAVA suite for parsing arbitrary text data. Not just HTML or XML or Java, but all of them. Use it when the JDK tokenizers are too limited, JavaCC, JTB etc. are too complicated, or You need dynamic parser configuration
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Python configuration parser module which supports arbitrarily deep hierarchical option "dictionaries" and partnership with the existing optparse (optik) python module. The API of this module will follow as close as possible the optparse model.
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Pure Python implementation of GOLD Parser Engine. GOLD Parser Engine is a LALR(1) parser with DFA tokenizer. It uses compiled grammar table generated by GOLD Parser Builder (not included - available on http://www.devincook.com/goldparser)
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JavaCCCS is a port of JavaCC to generate C# code instead of Java. JavaCCCS is a compiler compiler, i.e. given a grammar file it generates a parser for it that can then be used directly or by other applications.
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IDXMLParser is a "sloppy dom" XML parser, that provides for an XPath *like* interface for querying XML elements and attributes, whilst not requiring any validation of the XML.
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An extensible Java implementation of the W3C XQuery language. The project aims to provide a generic XQuery parser (written with JavaCC), translation to the XQuery core grammar, modularised query optimisation, and an open XMLSchema type system.
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An INI file parser that can read, edit and create large INI files. Usable under Microsoft Windows, DOS, Linux, etc. Supported languages are C, C++, Visual Basic, Java, TCL, Perl, Python, etc (DLL and SWIG capable).
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ODPdom is a simple non-validating DOM (Document Object Model) parser written in C++. It can handle relatively large XML files with the size in order of n*10 MB (pro file). ODPdom provides a SWIG-generated interface to Python.
