Search Results for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files" - Page 2
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Showing 46 open source projects for "/storage/emulated/0/android/data/net.sourceforge.uiq3.fx603p/files"
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Securden Privileged Account ManagerDiscover and manage administrator, service, and web app passwords, keys, and identities. Automate management with approval workflows. Centrally control, audit, monitor, and record all access to critical IT assets.
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The AI workplace management platformBy combining AI workflows, predictive intelligence, and automated insights, OfficeSpace gives leaders a complete view of how their spaces are used and how people work. Facilities, IT, HR, and Real Estate teams use OfficeSpace to optimize space utilization, enhance employee experience, and reduce portfolio costs with precision.
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IFC4EMF
Parser Generator to create EMF Models from IFC files
MIGRATED TO GITHUB: https://github.com/patins1/ifc4emf/ -
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PEG.js
PEG.js is a parser generator for JavaScript
PEG.js is a simple parser generator for JavaScript that produces fast parsers with excellent error reporting. You can use it to process complex data or computer languages and build transformers, interpreters, compilers and other tools easily. PEG.js is still very much work in progress. There are no compatibility guarantees until version 1.0. Based on parsing expression grammar formalism, more powerful than traditional LL(k) and LR(k) parsers. Usable from your browser, from the command line, or via JavaScript API. -
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DanmakuFlameMaster
Open source barrage analysis and drawing engine project
Use multiple methods (View/SurfaceView/TextureView) to achieve efficient drawing. Analysis of xml barrage format at station B. The basic barrage accurately restores the drawing. Supports mode7 special barrage. Multi-core model optimization, efficient pre-caching mechanism. Supports multiple display effect options for real-time switching. Real-time barrage display support. Wrap Barrage Support/Sport Barrage Support. Supports custom fonts. Supports multiple barrage parameter settings. Supports... -
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json_library
Another C++ based JSON Library (/w Parser/Generator/Navigator)
Native C++ implementation of a JSON library. Contains a Parser, a Generator and and easy-to-use Navigator in one single class. To build you will need at least a C++11 capable compiler such as MSVC 10 (express edition). There is no other 3rd party library required to compile or run it. -
Iris Powered By Generali - Iris puts your customer in control of their identity.Iris Identity Protection API sends identity monitoring and alerts data into your existing digital environment – an ideal solution for businesses that are looking to offer their customers identity protection services without having to build a new product or app from scratch.
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...The implementation contains the following: (1) depth-first and breadth-first parsers and generators, based on hand-crafted domain-specific lexicons but cover a broad range of structures, including relatives and tense; (2) a prototype incremental dialogue system, DyLan, based on Jindigo (Skantze & Hjalmarsson, 2010), but using the Dynamic Syntax (Kempson et. al. 2001, Cann et. al. 2005) parser/generator; (3) a grammar induction module which learns DS incremental grammars from data (Eshghi et. al. 2013). For more information on DS, and this implementation, please see the files DSImp_TechReport.pdf, and README.txt included here under "files".
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C#Prolog
C#Prolog -- A Prolog interpreter written in managed C#
C#Prolog -- A Prolog interpreter written in C#. Can easily be integrated in C# programs. Characteristics: reliable and fairly fast interpreter, command line interface, Windows-interface, builtin DCG, XML- and JSON-predicates, SQL-predicates, extendible. -
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...Now I build this c# project which is based on JSqlParser project .Notably,the JSqlParser is based on javacc, but the NSqlParser is based on another semantic analyzer whoes name is 'MinosseCC'(see http://www.codeproject.com/Articles/11632/MinosseCC-a-lexer-parser-generator-for-C), For c# Grammar,I modified the file 'JSqlParserCC.jj', now his name is 'NSqlParserCC.jj', Obvious, the other code files also I have changed. And please remember this, This project is free for you, And including any commercial behavior.
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Coco/S Parser Generator
Parser Generator based on Coco/R
Coco/S is a compiler generator that takes plain EBNF grammar files and features a SAX style call back API. It is written in Java and produces a Java Scanner (Lexer) and Parser for the language described by the input grammar. Coco/S is a branch of the 2010/11 release of Coco/R for Java. While Coco/R takes an attributed grammar file, Coco/S has a callback API. This has the advantage of a clean separation between grammar (EBNF) and Compiler/Interpreter. -
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qtBisonC++ is a general-purpose parser generator that converts a grammar description for an LALR(1) context-free grammar into a QT C++ program to parse that grammar. qtBisonC++ reads the given input files for a description of a scanner to generate. The description is in the form of grammar in Backus-Naur Form (BNF), called rules. qtBisonC++ generates as output a C++ source and include file, `lexyy.cpp` and `lexyy.h`, which defines a class `lexyy'. This file is compiled with your code to produce an executable. When the executable is run, it analyses its input to verify that its correspond to the grammar.
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The full-stack observability platform that protects your dataLayer, tags and conversion dataCode-Cube.io detects issues instantly, alerts you in real time and helps you resolve them fast. No manual QA. No unreliable data. Just data you can trust and act on.
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OOPSGen
Object Oriented Parser Generator
The goal of this project is to create a simple and easy to use parser generator that will accept a textual grammar file as an input and output modularized classes representing a limited parser interface. Long term goals include a robust grammar file syntax, output suitable for multiple programming languages, and tools for better integrating compiler functionality, parse tree manipulation, and FSM based scanner generation. -
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UA-Parser
A multi-language port of Browserscope's user agent parser
ua-parser is a multi-language library for parsing User-Agent strings into structured data, such as browser, OS, and device information. Originally created for web analytics and user tracking, it supports a wide range of platforms and is available in JavaScript, Python, Java, and other languages. ua-parser is often used in server logs, analytics dashboards, and A/B testing systems to segment traffic. -
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A simple way to create a syntax highlighting editor for a custom language/grammar and/or create custom grammar parsers. This is a .NET project written in C#. See details here: http://acct001.com/wordpress/?p=190
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Extension of the CUP parser generator for working with abstract syntax trees (ast). Implements support for class hierarchy generation and automatic tree building from CUP grammar specification files. Version 10k of CUP is used.
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Parse software messages and transform them into actions. LazyBat has a command line utility which can transform input data, and also a parser generator for C/C++. LazyBat doesn't support recursive parsing, but rather focuses on common parsing jobs.
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LR(k) parser generator (k>=0) implementation.
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BNF for Java is a BNF Compiler-Compiler, or Parser-Generator. It implements ISO Standard Backus-Naur Format, using Java. BNF allows you to create a syntax, or a complete language, to parse your data source. Your custom Java extensions generate output.
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The Embedded XML Parser Generator is creating some C source code that parses XML files (or streams) from a user specified document structure. Generated code can support advanced features (inter-dependencies, native data types etc...).
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Ayauhteotl is a parser generator to parse XML files, using an XML-like syntax. The parser generator takes an XML file which describe the structure of the XML files to parse and which associates a semantic (for now in \\\\\\\"C\\\\\\\") t
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cojson
a C++11 JSON parser/generator for constrained platforms
...It is not intrusive – it neither forces nor implies any particular design of the application. Instead it adapts to fit any existing application code. It is tolerant to data type mismatching. When such occurs, parser just skips mismatching data and makes best efforts to continue parsing. The parser is recursive, e.g. nested JSON elements are handled with the recursion. However, this recursion is driven by the structure definition, not by the input data, which prevents stack faults on malformed input data. ...
