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-1.2.19-cp39-cp39-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.2.19-cp39-cp39-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.9

griddly-1.2.19-cp39-cp39-macosx_11_0_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

griddly-1.2.19-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.19-cp38-cp38-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.8

griddly-1.2.19-cp38-cp38-macosx_11_0_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8macOS 11.0+ x86-64

griddly-1.2.19-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.19-cp37-cp37m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.7m

griddly-1.2.19-cp37-cp37m-macosx_11_0_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7mmacOS 11.0+ x86-64

griddly-1.2.19-cp36-cp36m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.2.19-cp36-cp36m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.6m

File details

Details for the file griddly-1.2.19-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.19-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/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for griddly-1.2.19-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 fc345d34f3364f95ab115fb4f0c4f957dc9a20da01890972b6c199bc435e229d
MD5 b20e7f4c694613b04278aae3732f0fb3
BLAKE2b-256 0589fa874aec642ceb153ad56480b45272b66531efd93229dedbaa063ac58e62

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp39-cp39-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for griddly-1.2.19-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 418d6a76300d9530ea98c1c9ac9604c6884375e9a4f3d85878d9a61e670bbd57
MD5 1943957cc156b4203727ba3366d29894
BLAKE2b-256 a0682c6ed2f9ca8afe6712cb934f8b9045278f6a970978b9f5129f62c568c945

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp39-cp39-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.9, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for griddly-1.2.19-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 9af46775e2422954f6f3269fd5bbcd9160f1374f4d13958139357f174823fc53
MD5 7a113fa14088142a08886c028007eccc
BLAKE2b-256 1f1ccfc4b626335ebd38418ea26a58d27fbfaea7f8f2a4fdb8225f294a9f8988

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.19-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/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for griddly-1.2.19-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 39f4bca1415c9caa2697053db84e156082d66328f3e0f0e6c031a7899b3302c0
MD5 14b614e6ffd06755d9fe0df3a1786ead
BLAKE2b-256 b705ac590e442778be9609ecb8a23f52126642f4364485b58643eaec0f0e09eb

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for griddly-1.2.19-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 724b3e9df41a9d1173418f50eed68d208dc2327509fb88a6183d7dfd44b4a32c
MD5 5a8fa149543fdf785f7bafbfd7c46a63
BLAKE2b-256 8a20336d43ed0034c8bd8070c3a6cfba5281cfe27591eabf7923f2a81ade1929

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp38-cp38-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.8, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for griddly-1.2.19-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 8bbd7405553a1be19c3920891ab4d1d9259f6f6b5c505bf0a329bf385c125b0b
MD5 bb4d1bc1f2e661e8e8e118eb1c14d27f
BLAKE2b-256 8d1814c75391d2b6f01b423040fefc4343cdfecada507c455cb3126a60a9e552

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.19-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/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9

File hashes

Hashes for griddly-1.2.19-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1c613b0699d3242af4558680ddf7de3ee852f518a3a3556de168e539e5e4ee3c
MD5 67afccf8908c94625cbfb7ce25fdc917
BLAKE2b-256 0fd306b6d16817e694e6b875a0b811383e1b0cc9428825827860a1b08a18d35d

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for griddly-1.2.19-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 07a3d2f83a95f2d7ed9fc2314a999d90074baa4ee531231a7d228bdbdc4924a0
MD5 cc530b95235888af9d3e4178771d6265
BLAKE2b-256 a97c5dfbb2554f69226042f4b269bc2c58cb304025d100b6eab2669b716a1809

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp37-cp37m-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.7m, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for griddly-1.2.19-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 de4da1553a5f9ffa9b0f6e22ff2ef182c387142c66824ca0ad1b3dc2a66ffc5d
MD5 c0dd0c542fe276c886c98c4a57fc46f9
BLAKE2b-256 b1e378592eab841fb9c7d90d486d0a9b04970664ba9c2dfb0cc3868288c2cce7

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.19-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/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.8

File hashes

Hashes for griddly-1.2.19-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 f14d42c53eb295b20e81ab789290fb4f82ca12fdcee165879ba60cc7f1833ea7
MD5 19a5e3a09568c30b525c66982c735fb3
BLAKE2b-256 60b02151df2d4bbbd245117612b0447fa26ac28cb075e73038e09550fd07c370

See more details on using hashes here.

File details

Details for the file griddly-1.2.19-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.19-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.6.15

File hashes

Hashes for griddly-1.2.19-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6ff61192c494e892dda784684828e407f04ea8e4331c2059523492dc1f3ed587
MD5 19848d278357180b1cbfd15437d91459
BLAKE2b-256 a162046812eb53efef4dfaebb1c713d450441c011dd8e7936e51b9eda35fb818

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