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-1.2.13-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.13-cp38-cp38-manylinux2014_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.8

griddly-1.2.13-cp38-cp38-macosx_10_15_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.2.13-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.13-cp37-cp37m-manylinux2014_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.7m

griddly-1.2.13-cp37-cp37m-macosx_10_15_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-1.2.13-cp36-cp36m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.2.13-cp36-cp36m-manylinux2014_x86_64.whl (7.0 MB view details)

Uploaded CPython 3.6m

griddly-1.2.13-cp36-cp36m-macosx_10_15_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.2.13-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.13-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/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for griddly-1.2.13-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 be6622ef69d9249a8c509820b740b45d3c114b70cfa11bac4ead2b7a4322ca8b
MD5 8b6f6c934ee3d8d3a3181608e4985c21
BLAKE2b-256 97ff829b3338893e12b091ca3184ba51ec1f2d079ec8a411d388e96d7b539c27

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for griddly-1.2.13-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7b4798df58dfcf5a647b456a42522633037bf8093d9a49e521a473b7d6308668
MD5 bdcce2a73887baf8b484fa26e26f5e44
BLAKE2b-256 b6269d576284e1ca46a774828a809095f04c5ec0aa3db8bb0024f928b0cd4994

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for griddly-1.2.13-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e0a7851537b9e6221e9a2a896cf123765d18a6cf2e71207bd440bb5a17ab89fd
MD5 48e9dc1d12bddc9efab65d5bf042c2df
BLAKE2b-256 b0dcbc57a3c84363d778e5cc1895bed98d001c71bd958e6ffa8dcb4f2779f820

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.13-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/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9

File hashes

Hashes for griddly-1.2.13-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5adc2d84296e65a78dd187b0626d577ecdde65ddc7b9e72a71435ba342e20070
MD5 ad69dd05cb2ebd7116f788b24fd99df7
BLAKE2b-256 502e7cf3a550f87aa0c85fd5bf23e5ea95ab9d8b5a9684bf953e84e9641a94b0

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for griddly-1.2.13-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5b431eb21b2710947b106c57c50a7adb18d296921c041e67c029286bacd015ca
MD5 c9fc5b1d49b6f319600d6a0152aaa68a
BLAKE2b-256 20589899c8f1a7b50438afd937a9ba8fb8feca4084cded37b597ff826d71cf15

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for griddly-1.2.13-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 58f7a5bc59187cbe59c0cd04c6f1fd9968f56c829ef04ab5c9ab2764831f7520
MD5 fceee0f6cd1761202d52701b6c48ca26
BLAKE2b-256 54400afb9f108d21faa9f14636da39e906b61fd1c41758d817724f0b12cb1b9f

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for griddly-1.2.13-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 f145718a8ba7c92c05083b88c432cb5e5b3b26fecbd30a4905b71e11ba41f71f
MD5 be31f04a78e23cf91d03c91db6a0f1dd
BLAKE2b-256 4edc335a3e449d339c9c56b19afe7cfbbceead65e0e91d761d569ddc715fd228

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.15

File hashes

Hashes for griddly-1.2.13-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 250ca36760c81b29d4a3164e9148715e53aebc2ca6ebda288e35c34f2d27f2a0
MD5 60c358355aa679f7b155068fe7769cd2
BLAKE2b-256 ce378e6c807026b1dfd26b8cbeda24b72df53c25af6cf7c5fd43532176da0795

See more details on using hashes here.

File details

Details for the file griddly-1.2.13-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.13-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.15

File hashes

Hashes for griddly-1.2.13-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 6cd2c4583728a5f0490d4ff836338d80460007d36a04bfa036a12924301d6c6e
MD5 aa2ebdb230dd53de79eb19acb3866a57
BLAKE2b-256 a7b3942814a144609e6ae09fc4542df0f2ba5a3551471ce78387ebdfc133d51f

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