Metadata-Version: 2.1
Name: slurmqueen
Version: 1.4.0
Summary: A Python 3 library for automatically running experiments using a Slurm cluster
Home-page: https://github.com/Kasekopf/SlurmQueen
Author: Jeffrey Dudek
Author-email: jeffreydudek@gmail.com
License: MIT
Description: # SlurmQueen
        A Python 3 library for automatically running experiments on a black-box tool using a Slurm cluster.
        In particular, this harness allows you to:
        1. Define an experiment by declaring a list of tasks to run on a tool.
        2. Generate bash scripts that run each task.
        3. Run those bash scripts on a Slurm cluster and download the results.
        4. Analyze the results through an SQL interface.
        
        See [this jupyter notebook](https://github.com/Kasekopf/SlurmQueen/blob/master/example/example_experimental_setup.ipynb) for detailed usage.
        
        # Installation
        For most users, the recommended method to install is via pip:
        
        ```
        pip install slurmqueen
        ```
        
        ## Dependencies:
        * paramiko
        * pandas
        * ipywidgets (optional)
        * click (required on the Slurm cluster to run the example)
        * notebook (required to run the example notebook)
        
        See [requirements.txt](https://github.com/Kasekopf/SlurmQueen/blob/master/requirements.txt) for detailed version information, if needed.
Platform: Posix; MacOS X; Windows
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
