Search Results for "software auth program"

MLton is a whole-program optimizing compiler for Standard ML. MLton generates small executables with excellent runtime performance, utilizing untagged and unboxed native integers, reals, and words, unboxed native arrays, fast arbitrary-precision arithmetic based on GnuMP, and multiple code generation and garbage collection strategies. In addition, MLton provides a feature rich Standard ML programming environment, with full support for SML97 as given in The Definition of Standard ML...

A program for generating C++ code based on an RDF schema. The generated code can then navigate RDF structures that conform to the schema.

The generator for LR parsers uses Pager's method, augmented with Tom Pennello's Forward Move Algorithm for error recovery. The grammar specifies identifiers for nodes in the abstract syntax tree, and the identifiers for tokens. It generates Fortran declarations for tree node identifiers and named constants that represent the PDA. The lexer generator accepts regular expressions and generates a DFA. It generates Fortran declarations for character classes, recognized objects, named constants...

UniCC (UNIversal Compiler-Compiler) compiles an augmented grammar definition into a program source code that parses the described grammar. Because UniCC is intended to be target-language independent, it can be configured via template definition files to emit parsers in almost any programming language. UniCC comes with out of the box support for the programming languages C, C++, Python (both 2.x and 3.x) and JavaScript. Parsers can also be generated into JSON and XML.

Genparse is a command line parser generator. Based on a simple description of the command line options you want in your program, genparse creates the necessary C, C++ or Java code for their processing.

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.