Griddly Python Libraries

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bam4d from gravatar.com bam4d

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author:
Report project as malware

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

Verified details

These details have been verified by PyPI
Maintainers
Avatar for bam4d from gravatar.com bam4d

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • Author:

Release history Release notifications | RSS feed

1.6.7

1.6.6

1.6.5

1.6.3

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.3

1.4.2

1.4.1

1.4.0

1.3.9

1.3.8

1.3.7

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.36

1.2.35

1.2.34

1.2.33 yanked

Reason this release was yanked:

serious bug not caught in testing

1.2.32

1.2.31

1.2.30

1.2.29

This version

1.2.28

1.2.27

1.2.26

1.2.25

1.2.24

1.2.23

1.2.22

1.2.21

1.2.20

1.2.19

1.2.18

1.2.17

1.2.16

1.2.15

1.2.14

1.2.13

1.2.12

1.2.11

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.4

1.1.1

1.1.0

1.0.2

1.0.1

1.0.0

0.3.3

0.3.2

0.3.1

0.3.0

0.2.1

0.2.0

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.0.13

0.0.12 yanked

Reason this release was yanked:

This build will not work. please install griddly==0.0.11 instead.

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.1

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-1.2.28-cp39-cp39-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.2.28-cp39-cp39-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.9

griddly-1.2.28-cp39-cp39-macosx_10_15_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.9macOS 10.15+ x86-64

griddly-1.2.28-cp38-cp38-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.28-cp38-cp38-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.8

griddly-1.2.28-cp38-cp38-macosx_10_14_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8macOS 10.14+ x86-64

griddly-1.2.28-cp37-cp37m-win_amd64.whl (6.7 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.28-cp37-cp37m-manylinux2014_x86_64.whl (7.1 MB view details)

Uploaded CPython 3.7m

griddly-1.2.28-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-1.2.28-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

File hashes

Hashes for griddly-1.2.28-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 4b28ee8cb6eee00a477a5592665dd02b2a717c98f70f6bac135d02f6522b9f42
MD5 31fe2b86cb25de29c10ae55af090e279
BLAKE2b-256 9157d905677bad0aef27fe0189ca7af1647f01416a29eac3bb4ab86117a2a357

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for griddly-1.2.28-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 72e60f31abbea688cc50d08e9c6ae492c1f79295671faa1df419183aea542d90
MD5 f2c7698f0b9ea6769c45505950cb0449
BLAKE2b-256 ed3d7929ce74da141ce9a50796ceee2af57a2f28a78ca09dc3241e58a4f999a6

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp39-cp39-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.10

File hashes

Hashes for griddly-1.2.28-cp39-cp39-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d498be7b1a8c1c6556fd9ef08178a06d1ef5897e33dbd9212847b717d47f465f
MD5 c551a099689c01a26dae440b5c49e169
BLAKE2b-256 3dd56da780a4f4f4efb7ba036e11f34cb898160f5fe00d540c466aba48cb2d32

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.10

File hashes

Hashes for griddly-1.2.28-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ed05d4460f938f4e47cca41233e5a9cfc66b4e4970b57c7f949201eed73ca9a3
MD5 aee97322554f4daa396110e815cb491e
BLAKE2b-256 ea7ed9967fdbe22230ef9d8e4ba9c1df791ea935c6f01d563745e36262c0ab34

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for griddly-1.2.28-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e4453f81bad4321a8d46cf24bb9ee9e39fa9c01887a559d271377cd93b505496
MD5 c8e27d85913ab625db01674bbcc5b471
BLAKE2b-256 0ecc5d57cc397b4c5d7d02125c512dc234ed39d083c09a13935eb7cdf2a2ee1d

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp38-cp38-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12

File hashes

Hashes for griddly-1.2.28-cp38-cp38-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 84e6805c286142500b40fb80dd20d77a64fcd1b16bd60a5ffeb3df7942fee06d
MD5 2330cf7abb3a28fd900e69efcbc7cf3d
BLAKE2b-256 3c650c145b139f0b994482e518642d890c4c3c22c18c37a31403ec3830c89cde

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.9

File hashes

Hashes for griddly-1.2.28-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 2dae0561411b45698baab2bca0edcf29ef0d2637645de552b5a3341f432967de
MD5 c75c19f3ffd4bd7ea1e4320fbd7272e9
BLAKE2b-256 4c8c3a637c0e196153d7406121e22dd777985a8cf659fc386d2e1b6e5116dee8

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for griddly-1.2.28-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b4328307708649d63d0f86fda4f53f1d2af9f38525643c9b83cd1881ded3aee3
MD5 b4ac43c4e3016e582bdf3095103ef344
BLAKE2b-256 00793e16bb4b88622e48cfd0a6f75095fb957fc1219c92f668a8c604b196c29f

See more details on using hashes here.

File details

Details for the file griddly-1.2.28-cp37-cp37m-macosx_10_14_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.28-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/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for griddly-1.2.28-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm Hash digest
SHA256 96bdf48a4d6f248bddbf19116a74c27fd3881e0a25af29725736cd09bb707fb2
MD5 4d434643a5f061d36f29644f95f78712
BLAKE2b-256 e8a94fd694e1e90c6ab6bc19a9e067e8f268eeac86e86feb9f184bd0170d2971

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