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-1.2.35-cp39-cp39-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.2.35-cp39-cp39-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.9

griddly-1.2.35-cp39-cp39-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

griddly-1.2.35-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.35-cp38-cp38-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.8

griddly-1.2.35-cp38-cp38-macosx_10_14_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

griddly-1.2.35-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.35-cp37-cp37m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.7m

griddly-1.2.35-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-1.2.35-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 71d69ddfea223675ce6568f3b105350750a52d3938a13e0c7d309f35f9715742
MD5 2f3fe6a3af8dd9106056123eadda9cba
BLAKE2b-256 d4ff1315331c3b0b66944eff685d137faf863966d4f916d6ebfeea22e353f9fa

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3392a590f6363b4c298a7a363b59e346811ed63e06900313bbe15de50da2f8b1
MD5 98b6a09f710da0b3b910ed3ed5f9802d
BLAKE2b-256 0b1f6e7f5551b45d706b25cbcf3a8a09bf1bb1281f79f58cdb3381793c48edec

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a8176b2221f62bdc38996c488f9733a30efeedd2c218c6321d71717e267aa509
MD5 dbabc4c6f4b7897b0a41b6cb92d1d37d
BLAKE2b-256 abad543360b1f536e119913a4141b21b936416fc22be548a80a209d29f9e3511

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 01219e7d2692f674a4346818ae6c5e47dffcf97f695b014a9dcd18ed04b7b0e4
MD5 ebca9e723a75091d310b40dc0a26d049
BLAKE2b-256 6e502909b6a2670c331837ba0ec602244d1318e7b1dc16ea21214bdbc54b2d69

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9980947a69bca5badfc9ca93e6434b8fa93f4eea656a30c6314dd4dbc144111b
MD5 774a6ee0cfffd8933cf783cfd697798e
BLAKE2b-256 6f886261dcf3ca3f7f9e59a03b95f7bf2d20e87a6da5ac90919d32301a382c3b

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 a57d7dfbe1464dc3086a54c3be48c98bd1e2ef9e3bfc1a26726f8d1cc05d992b
MD5 dc13f60cbfe9f44a864bc624468793d6
BLAKE2b-256 c8ab3633235597f0668fda3ac4a35e95d925fb0cc7f85cd2eff036e73b956c96

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b8b01bf04122770fbf2203ebfedea406e14cfaffcfc11379f25289e53dd9ae2a
MD5 b03a70428b60cd64b8958122b22e3e69
BLAKE2b-256 bec723adfbed7afdd4234e180edcfa4fc4abe6be4e58f2777593ec0d1f34a59c

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c3466e6b0a0a73e37309eb079427a8254ba95c678cb21ba35f072c9df0600d91
MD5 c3904ef1e0267ee96bca95efec4f2952
BLAKE2b-256 e97635505d54f7dd9bb736d05ee47bd21b04bab1aaf7d3bd5eca96fd9e8d7ada

See more details on using hashes here.

File details

Details for the file griddly-1.2.35-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.35-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-1.2.35-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 9c694e3abb3b758b5b035e6baa3228a4e1f0d02a2a69bc09b2a2b2e302d4fbaa
MD5 6101022392313a5afa46105260207f7c
BLAKE2b-256 12f3e7d7f5fd7cba10c194face9d56e2b0d8cd5d1951b0b93e4c279266ba44e9

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