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.

Files for runman, version 0.2.1
Filename, size File type Python version Upload date Hashes
Filename, size runman-0.2.1-py2.py3-none-any.whl (5.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size runman-0.2.1.tar.gz (7.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page