Mange runs of stochastic simulations
Project description
Run Manager
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
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
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 |
Close
Hashes for runman-0.2.1-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 1007edafb8b5cb0723a0df78061bd4047cc5ff0be2f60d881be35c8adf940a7d |
|
MD5 | daee416b9235885d9ae68cf04f28232e |
|
BLAKE2-256 | 7d2cf0b3d61672631ccaf2ae2c2f2327bef92427b36a77ec6a45466d31e57ae9 |