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-1.2.17-cp39-cp39-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.2.17-cp39-cp39-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.9

griddly-1.2.17-cp39-cp39-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

griddly-1.2.17-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.17-cp38-cp38-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.8

griddly-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.2.17-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.17-cp37-cp37m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.7m

griddly-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-1.2.17-cp36-cp36m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.2.17-cp36-cp36m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.6m

griddly-1.2.17-cp36-cp36m-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.2.17-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.17-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/3.7.0 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-1.2.17-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e3e6aedab50c4e461bb44cf80ec9e8767a5c4f558d8c1cecc9dd770e48747e44
MD5 87b26dac3f07bd666c4bc134b0397aab
BLAKE2b-256 66c676879d810534664411c4f3b5005e5e240804ec595c7d82f241e88f70ea5d

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp39-cp39-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.9
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 24218cf55b243e1490fb8834e58e7872e4a619c13b76182c41f544a7a33b2ef0
MD5 a9777b7cae2ab12a8d8533eab6de1642
BLAKE2b-256 1e9f92da03c63b4a3bbf392dc00403ac26744ec3fce102af7ad10b80adc43398

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-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/3.7.0 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-1.2.17-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 2c1005f36a0c2965366625aaae365fed8ab364c76054cacb9937e8adf074e920
MD5 55542dbf804861b12ba23a6c97a9a71e
BLAKE2b-256 7fc46bf2ec3606470aa26b21eebe09e2fa34045bbbc245976eec347edbdbeb4d

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.17-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/3.7.0 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-1.2.17-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 8198769a4eeba082557bc0539680afdafd052daedf3b73b24e9f7b9ec64c5a0b
MD5 6fa5bb9c6f8c1bd384528d403d5040da
BLAKE2b-256 7c3343354cf2da5fd1f95f7fa38af726b4bfcdfc4d9e58950eb199f19d0b396b

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 70928b40ab93f639dac8349b7b29105c9203f9890b7f0cc1e87b2bdeb55b49b7
MD5 8959f96b5c4d13e8c8837eded97ab173
BLAKE2b-256 237063169e335bfc4ae9ecabe844889889e58779d930dd961893eb5bfa764b34

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 42eda54cbbe68858c73b81b30715aaade3f756ecaf50802dad17d0d3c6678121
MD5 012464c4c34f3bfa9fc1e9d724957b63
BLAKE2b-256 bd73644864ac71e1a76ddf704cf86bcfbd8138ed9c5bac6f538656210c345cbf

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.17-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/3.7.0 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-1.2.17-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c53b589e2707ea5ab62d3b2281890f1406fa84e142ba652d588830432b35d8cd
MD5 ac0794a69d6a9edcb389733526144543
BLAKE2b-256 c5dc74c6180433e66b42dce594ad7950309ae8c8b41f25a5abb8eaff3106a657

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e173e683c0e69a10ad8dbd98e223f1bdb9102ad5c9c2da69213dcecf7927ffc8
MD5 5c7834e673b43a857f9d11cee1e9574b
BLAKE2b-256 6e2e786536f4f591b7b1583bcb79ab18cea455d7bc7d5b650aebd13eacae9f26

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 962b18de0ae9b6a56fdade0ebc5a59a360bbfc26c5d3dc336cec6ca9dd2fa300
MD5 e4986dc9b52ada1e1f9f1214737cddfe
BLAKE2b-256 4661e45ee6955b30f757e0111554e3bdf2739732a074660b8808329ff05e289f

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.17-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/3.7.0 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-1.2.17-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 020674e46e26f61b01cb6015276b3c1afa093a0d168fbe08d05c287b76a7ff5f
MD5 d87ea15f0281ca483c1f6ba9361085c5
BLAKE2b-256 b0d8890df2919a7596b2129cdb99149c42da90abfbb8ccba40cc616099c6bb7d

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 7.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5248c0b206902a9af3128bb536d1f9638fa8d075c3887db2d0208c0b64efd6e7
MD5 e7ab9aa51ae76e81c4b960a6788dfca3
BLAKE2b-256 806f5051d698a479db374e89282d6093e6c3cb263d6b7594a50b150806e7079c

See more details on using hashes here.

File details

Details for the file griddly-1.2.17-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.17-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 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-1.2.17-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 799a3264073eba04801672e988c77bd4b3ae39e2144760628263212e290750c6
MD5 9760f05be0395e49a6deed1c5a1a026c
BLAKE2b-256 b43ec693b41d42cb477339cc5672398670188d72f5e3ef2169a94bc89150ef1e

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