Skip to main content

Mange runs of stochastic simulations

Project description

Run Manager

Build Status Documentation

Mange runs (mostly of stochastic simulations)


Features

  • Register a world, functions to be called on each timestep, and functions that perform logging

Quick Start

import runman

counter = []
def step(timestep):
    counter.append(timestep)
def log():
    print(counter[-1])
    return counter[-1]

run = runman.Run(assets=[counter, ], 
                 stepfns=[step, ],
                 logfns=[log, ], 
                 loginterval=2)
run.run(10)

Installation

Clone and install or pip install git+https://github.com/AllenCellModeling/runman.git

Documentation

For full package documentation please visit AllenCellModeling.github.io/runman.

Available under the Allen Institute Software License

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

runman-0.2.1.tar.gz (7.8 kB view hashes)

Uploaded Source

Built Distribution

runman-0.2.1-py2.py3-none-any.whl (5.5 kB view hashes)

Uploaded Python 2 Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page