Skip to main content

Griddly Python Libraries

Project description

Griddly Python

This module contains all you need to run the Griddly AI research environment using python.

Installation

Currently the library supports any python > 3.6. It is recommended to use a conda environment:

conda create --name griddly_env python=3.7
conda activate griddly_env
pip install griddly

Usage

Full documentation can be found here: https://griddly.readthedocs.org

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

griddly-1.2.36-cp39-cp39-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.2.36-cp39-cp39-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.9

griddly-1.2.36-cp39-cp39-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

griddly-1.2.36-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.36-cp38-cp38-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.8

griddly-1.2.36-cp38-cp38-macosx_10_14_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

griddly-1.2.36-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.36-cp37-cp37m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.7m

griddly-1.2.36-cp37-cp37m-macosx_10_14_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7mmacOS 10.14+ x86-64

File details

Details for the file griddly-1.2.36-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.9

File hashes

Hashes for griddly-1.2.36-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 607b38fb9f1b640099d001bb0ec5e787d113e408837e85e668402fa285e0c76a
MD5 d98b9d5153068162f2ffdad701087717
BLAKE2b-256 43558a7cc8f8e7ad5202a783ecf7359aa22a8bbc7fc980f9412c3a678bf0fead

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp39-cp39-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for griddly-1.2.36-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a81027e7c824cc6ad96cbd837f6f51d2c61c44d2274c9054ef01949688bc1ef3
MD5 2ef544bdaf2b1b92c24769e9cd2713c8
BLAKE2b-256 b60ed01292d1d727a7f8fbb7908fe156ed302ee52b52f2ba116be550c1fd1bb2

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp39-cp39-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.9, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.10

File hashes

Hashes for griddly-1.2.36-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 9b355a2f68fce7e6319db64ed7eb04d76562581331ae674be2dab644da73d709
MD5 8c0b8412249dce17f2a6caf101d0795b
BLAKE2b-256 565d135b20e403c197c5c81535ef79cbe595b8b0e152634b0d22b9afb26ba0de

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.10

File hashes

Hashes for griddly-1.2.36-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3450098d0ec2dc8a39e5d7454b26dd9fceded4c38a17300504bd84f7bc1762a9
MD5 047d93562fd37e6e1e156a06cb97b4e0
BLAKE2b-256 37de0d5705b7b0789df732ea582d6372d77b187299092df91d9933f992be0cc3

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for griddly-1.2.36-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fc42ed213f9fd25ce89ab53a7500c7ee514586a1a7f7f6987d49ef478e02f644
MD5 c1faaa45b681e61f21e223d395d27225
BLAKE2b-256 8abd60422ddf1a97a5c9fa1b7d1bd26b0f2023f21e93ce080e1399fec9aaf797

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp38-cp38-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.8, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12

File hashes

Hashes for griddly-1.2.36-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 1dc4a43178a843c5089094f91c0c893ef7f2f0689fb38d73194650c44e163d8f
MD5 3a5765a7166ba4690b92ada24f965dd7
BLAKE2b-256 c553f3ed81609680aa650aa9b5f94a219381c582c2f1e0bde2bfc5869e6c56de

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.9

File hashes

Hashes for griddly-1.2.36-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 d5424d9d10e0947d7a4ba2b871071cd2bf476fbfda3f1742e403b9c9c4c66612
MD5 1455584cc5673b6dd827d3a25e4f8e5f
BLAKE2b-256 7d1dac6ed198f87aa3d7ee8c670f9bccae0084ce3e62949a4f349629f9461e0a

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

File hashes

Hashes for griddly-1.2.36-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6b876ff64169356aefa136ce71685a0cc596ecf92ac718f90af02c818b89d032
MD5 468ed83340b9a7d2851cf9eb4a30c6c7
BLAKE2b-256 34631f7737b7c039838c4e6e82db7b9c16de61138da574a4bd001f82020d2324

See more details on using hashes here.

File details

Details for the file griddly-1.2.36-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.36-cp37-cp37m-macosx_10_14_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.7m, macOS 10.14+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12

File hashes

Hashes for griddly-1.2.36-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 24a50fca31ec79624373768de3a2acde38cb7a3c15ae71d978d20347778abd8a
MD5 a756d72cb7d0ea31df549d88380d8610
BLAKE2b-256 678c762def05da656758524e2105f1d90f2647da5cfd708e23bb57e503ec3a2f

See more details on using hashes here.

Supported by

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