This repository contains a PIP package which is an OpenAI environment for simulating directed acyclic graphs for workflow scheduling.
Installation
Install the OpenAI gym.
Then install this package via
pip install -e .
Usage
import gym
import graphRL
env = gym.make('graphRL-v0')
The Environment
Tbc.
1 maintainer
Metadata
1 maintainer
Release files for graphRL 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| graphRL-0.0.1.tar.gz | 2.9 kB | Without provenance | Details for graphRL-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| graphRL-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for graphRL-0.0.1-py3-none-any.whl |
Total release size: 7.2 kB
Release files / graphRL-0.0.1.tar.gz
| Download URL | graphRL-0.0.1.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-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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Release files / graphRL-0.0.1-py3-none-any.whl
| Download URL | graphRL-0.0.1-py3-none-any.whl |
|---|---|
| Size | 4.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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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
|
Security for graphRL 0.0.1
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None of the files in this release were uploaded with provenance metadata.
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