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-1.4.3-cp310-cp310-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.10Windows x86-64

griddly-1.4.3-cp310-cp310-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.10

griddly-1.4.3-cp310-cp310-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

griddly-1.4.3-cp39-cp39-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.4.3-cp39-cp39-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.9

griddly-1.4.3-cp39-cp39-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

griddly-1.4.3-cp38-cp38-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.4.3-cp38-cp38-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.8

griddly-1.4.3-cp38-cp38-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.4.3-cp37-cp37m-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.4.3-cp37-cp37m-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.7m

griddly-1.4.3-cp37-cp37m-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.4.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: griddly-1.4.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.5

File hashes

Hashes for griddly-1.4.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 c0897514d06152625a22814a74abeb4265742f2c8d67b12d17aff50ef3f92e12
MD5 69102d7391d8046ca7388c2673630717
BLAKE2b-256 0903dd17612a9e50cb8321967f55348b4dda95f58c9b7faada07022e366f4b7d

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ef1b5135db442408e24f4d311906c396c9a1fa3583c0b4caf22258edd9aa6c79
MD5 f3bbfc01ceb68a9a82b59079fddacc52
BLAKE2b-256 875dfb406de9cf46ff9a07754d307b6b43fcb98d67c8a700cd55c26051159476

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 13ccc3d8197ceb95ff24050c3cd45805580b86cec19b3dead27676be3d791a1b
MD5 76c228889b2a7118a91e793999462b03
BLAKE2b-256 d0f2c966c72e1146fbf60a00815da32ecdf2708b36686ced55cfd02f5f36b5fc

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.4.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for griddly-1.4.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fab4f585db60f688876748ae25d82fa784925e1238a878166e85b9086fd3c175
MD5 61f1c3e17d55ace32fd714a9153b094d
BLAKE2b-256 f2c5deb1939c007ef5fbcf5afe79d850c7e20a057eb57402554af2b78ac64bb7

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 40ba558a0aa335268e6a1a17cafc3333d354f1600aa728437111d3f27296b916
MD5 85595c968c644ba54987005f8c463b22
BLAKE2b-256 653d25d38b5b0c17f5617df55af7633144805aed5fa873e502f58b54d3d9a43f

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 0e83dab83c838febb7c36e1ed813a13cd3fd6b6ea5e18de4b7ae76a1017506e6
MD5 b2bda87876985ffbcec41a62d1638ee5
BLAKE2b-256 420f6a2eb80c5ed8e30ee55b142bc10afe0f98771273e2a7d5d83ec768d7f377

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.4.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for griddly-1.4.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4cb6a56c7a78f85062b37f56e16aaf8c375669198908aa3522c3d470d5960d2f
MD5 02111272aac71fa2a9ddc1e2a73b9f84
BLAKE2b-256 6e60dfc1e651bea8e5a734ebb1de997ee083485a9a1d002cc41a131aace0777e

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bfca264202afe91c59add1ad7ae3a33ff41edd525c817425ce2a042eecc0ddd0
MD5 955465476235ec746f4adf68f5f2ba24
BLAKE2b-256 be83ed0820849e0cad2462d99bb156aa7f3f6585a6c0d119a9078e53a0aba5cf

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a83142f03da2693dd3a45b26953aceb5d180c95cdebb7fa9c342fde0b900bdbb
MD5 b3fb6a41440b4ce39dd923bfc63e9c9e
BLAKE2b-256 f2de09e27139654ff542298cf4523d366c922fca24922ca9cef2f8514ded94fd

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.4.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.7.9

File hashes

Hashes for griddly-1.4.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1db1e0ed9064eb417b73f68dbb06d212c1a84031e82557bba08108aa41faba45
MD5 bb67eab0af129fe53a8de82c4736ddc2
BLAKE2b-256 666427ddd97d0006388c52d022d19cb278ec623d5da284a2398ff9fce7b88060

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9bc23d81491fe415bc78ea826fb809e1cb4c3cb0895dd235f74e7dffe35e6e49
MD5 ded41e07f3d8456fe2d7cdc34e75021d
BLAKE2b-256 b4adc74651aa0cd8da730d0ef5afc2029ec9d1132bd66ae4d9857bb409724392

See more details on using hashes here.

File details

Details for the file griddly-1.4.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.4.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 e50565ca4b42c73666906339d4b8e9c3c73444abe4df6f41af85ff5e65ff6b41
MD5 4623ba502745a67f0fd8f2046522b403
BLAKE2b-256 3b68801b1c4df1df07660d07db4d1ab3000172bac7dd1dcdf432e78c02fd93fa

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