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

This version

1.6.6

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-1.6.6-cp311-cp311-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.11Windows x86-64

griddly-1.6.6-cp311-cp311-manylinux_2_28_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

griddly-1.6.6-cp311-cp311-macosx_10_9_universal2.whl (7.2 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

griddly-1.6.6-cp310-cp310-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.10Windows x86-64

griddly-1.6.6-cp310-cp310-manylinux_2_28_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

griddly-1.6.6-cp310-cp310-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.10

griddly-1.6.6-cp310-cp310-macosx_11_0_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

griddly-1.6.6-cp39-cp39-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.6.6-cp39-cp39-manylinux_2_28_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

griddly-1.6.6-cp39-cp39-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.9

griddly-1.6.6-cp39-cp39-macosx_11_0_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

griddly-1.6.6-cp38-cp38-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.6.6-cp38-cp38-manylinux_2_28_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.28+ x86-64

griddly-1.6.6-cp38-cp38-manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.8

griddly-1.6.6-cp38-cp38-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

File details

Details for the file griddly-1.6.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for griddly-1.6.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 94dffcea531f5ab4c8fd84caff46f560d8dbc81f7bccc1be908e1c9a4cb9801c
MD5 3869cd6939125d169587381f968019f4
BLAKE2b-256 a20472c5868b6724f1feaf33c063991dc5f456ec60f4f040a3c2b403359a7a0f

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 509ef51c3212fe77b54eabb8b2a5a6078e035dd3f8856681bb29208cf999085d
MD5 5e3ed499b2c0514a6e5ac0e651d7854e
BLAKE2b-256 4ab80b23c7608c3b480dc9a872df4d0821e2a0d86d941d346abde1ccc718d1d1

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 64d243be97c126f60685035e447b0386f3b21d11ee5266897694946a1b9eeb3c
MD5 8f002365aa95bed9a3892ddef8acd3b4
BLAKE2b-256 e84a7308671946b3485ba22d2acbcdda5aa709193761d11181afde8d78079a9b

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.6-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/4.0.2 CPython/3.10.9

File hashes

Hashes for griddly-1.6.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 dfa3c470a5cfb069e859fc91b7507215edf0c5d0f9f00b0d9c9361995c35226e
MD5 d93eb83c5dde16c337bbfe2ccd8cc36d
BLAKE2b-256 93dcbc235892804dccec04b5d6b1b0020bfc1c9646c1fbc9d14ad38af6dfcc33

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 988f66fbdddab05f3d75bda97ee0b2980ee29ff42372e8b48b487576a0d8175f
MD5 02b01523c121472795600a30a15228ca
BLAKE2b-256 064cc3c91b3a655f45f94c758003baed3f4262ceb8a3f0b81f34f7c89112a3e8

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d6207bf7eabb1c30931f1a7a13ba69b59a45f88cacf77fef581ce6c6dc892048
MD5 db83948c9bca55894daa9e78b3ad9131
BLAKE2b-256 25b007f4c8b05e7e0d6272ff406d7ef55681f37c3e66c329c60d2ed16bfc7964

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 e8a7b851cf3df94fe1aac5de2ccb9c658370206061eead1a173105edabb42dc2
MD5 0268d37edda5c621a7c0ea95c1593b64
BLAKE2b-256 bb5e4547cc52c0de9c20f788f5c3c60d297dfdf7078c3c11effe1cbe3e00a316

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.6-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/4.0.2 CPython/3.9.13

File hashes

Hashes for griddly-1.6.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 897a0d239929ea1e9fcaea00b658b47213449bbe38a5cc51c6c5427b38a407b0
MD5 0a674e6cea9a523679fe03165a82e315
BLAKE2b-256 c6f8415878462210f1d479e5d823731209d52d9df291354066f72a47b0467213

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4158fa30b03462cbfa3db3732ec1258942cf27648cb6a54f501630c5cb02947c
MD5 361269c59d6f863726e40f6bb99c7f5b
BLAKE2b-256 5117d64919307c53f5511319365c57295996717bb35c36563460f31ecfe1ef48

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 599f4aaf6b3d9c14f65e9ef9d32f800ac8af9004f0ad68e1df1928f09d3c1b4b
MD5 78456908ae68951384e0245675cc39e3
BLAKE2b-256 faf3bd67a9868b503c00a6c02670468f6f1b03a11c86229be85c81487293cdf7

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 a59171e590c3404ccec829da7ccd25426f308bf51780fab3155bd3c447f317ed
MD5 7dbc0e71939a60526bff359bc56c2ed9
BLAKE2b-256 ce1f02ceb14b0b310fa19807eab9088c3fb92a144089a0e08cf8042464ae290e

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.6-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/4.0.2 CPython/3.8.10

File hashes

Hashes for griddly-1.6.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 84988de61caf73319105786efa9fcd15facfbf4a22cddd671f42fffe2b326975
MD5 c7f3ebddaebcd20ba063ece67e535cc2
BLAKE2b-256 2b05c8c7c8189f26aa350fb33bc203c4874355932ffa7f224a1fad31d689e57a

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 a2f2eb351ca8f40e3051c5a5997f618414158a8b9c55c70443c891a8c609ca1f
MD5 1b419d6ca9e1f943d4dd6042f24219f4
BLAKE2b-256 52d7657ff86b20fb1885111c320e7addd5ae4ef94c6dfb8727008fa80c4cdc69

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ea42f5b97618187c6e98334af011fea7f6cfcc6ff23bdfb6cac2a26c32240898
MD5 01f9b63c79d4a2a3dc908c627d674d8b
BLAKE2b-256 6dc4f81bda08e0a7081e29644d8e5a4f97be8ae5d688d6105c4e35bf0589face

See more details on using hashes here.

File details

Details for the file griddly-1.6.6-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.6-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 b40d1c4f5cf334cdfd5722b1ca77f060b74643011c524fafdd5bf0fb1d3040ad
MD5 32f16b65f8cbb8e2e1fd9f15bb8be6e7
BLAKE2b-256 9fb7c793c3d2e1e89c73134b53e6f3991a0a70c491f14ef1f51769493be06478

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