graphRL with NetworkX
This repository contains a PIP package which is an OpenAI environment for simulating directed acyclic graphs for workflow scheduling, using a NetworkX backend.
Installation
install this package via
pip3 install graphRLnx
Usage
import gym
import graphRLnx
env = gym.make('graphRL-v0')
The Environment
Tbc.
1 maintainer
Metadata
1 maintainer
Release files for graphRLnx 0.0.3
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| graphRLnx-0.0.3.tar.gz | 3.2 kB | Without provenance | Details for graphRLnx-0.0.3.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| graphRLnx-0.0.3-py3-none-any.whl | Python 3 | none | any | Details for graphRLnx-0.0.3-py3-none-any.whl |
Total release size: 8.3 kB
Release files / graphRLnx-0.0.3.tar.gz
| Download URL | graphRLnx-0.0.3.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
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Release files / graphRLnx-0.0.3-py3-none-any.whl
| Download URL | graphRLnx-0.0.3-py3-none-any.whl |
|---|---|
| Size | 5.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.1 setuptools/40.6.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1
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Security for graphRLnx 0.0.3
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None of the files in this release were uploaded with provenance metadata.
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