A framework for writing and running Computational Science experiments
A framework for writing and running Computational Science experiments.
experipy provides a composable grammar for automating experiment script generation and a tool which can then execute those scripts. Supports PBS script based queueing.
A Simple Example
from experipy.exp import Experiment from experipy.grammar import Executable exp = Experiment(Executable("echo", ["Hello World"]), expname="test", destdir="results") exp.run()
This will run the program echo with the argument Hello World in a directory in /tmp, writing the output and error, along with timing information, to the directory results. Directories will be created as needed. A complete example showing how to write an experiment for a Python script can be found in test/runtest.py.
experipy can be installed from PyPI, and has no other dependencies.
?> pip install experipy
Full documentation for experipy can be found at https://experipy.readthedocs.io.
Features In The Works
- Expand experipy.system to include more standard command line tools
- Beef up PBS script options
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|experipy-0.3.1-py2.py3-none-any.whl (12.8 kB) Copy SHA256 hash SHA256||Wheel||py2.py3||Jul 15, 2018|
|experipy-0.3.1.tar.gz (10.5 kB) Copy SHA256 hash SHA256||Source||None||Jul 15, 2018|