Metadata-Version: 2.0
Name: daps
Version: 1.0.3
Summary: A toolbox for the data generation pipeline including the random data generator via yacc and yaml files,as well as the stack state generator given a lexer and yacc tokenizer
Home-page: https://bitbucket.org/jjm7/lstm-stack
Author: Rice DSP (Joshua Michalenko, ameeshshah)
Author-email: jjm7@rice.edu
License: MIT
Keywords: lstm data generation random
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: cwcutils
Requires-Dist: numpy
Requires-Dist: ply
Requires-Dist: regexp
Requires-Dist: subprocess.run
Requires-Dist: yamly
Provides-Extra: dev
Requires-Dist: check-manifest; extra == 'dev'
Provides-Extra: test
Requires-Dist: coverage; extra == 'test'

DAta Pipeline and Stack (DAPS)
==============================

A toolbox to generate random data and create a stack state for the data based on grammars specified
by lex and yacc files.

Detailed instructions and usage exist in the files themselves as well.

----

This is the README file for the project.

Authors: Rice DSP - Joshua Michalenko, ameeshshah

4 files exist in this package: Two are used for the random data generation process
(createYAMLFromYacc, generateDataFromYAML) and two are used for creating the stack state
based on that data (makeStates.sh and its subprocess, processStackOutput.py).

Please direct any questions to jjm7@rice.edu or ars7@rice.edu.

