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

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

This version

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-1.2.1-cp38-cp38-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.1-cp38-cp38-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8

griddly-1.2.1-cp38-cp38-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.2.1-cp37-cp37m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.1-cp37-cp37m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7m

griddly-1.2.1-cp37-cp37m-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-1.2.1-cp36-cp36m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.2.1-cp36-cp36m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.6m

griddly-1.2.1-cp36-cp36m-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.2.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for griddly-1.2.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 ae30bfe8efbba08545ac9270dbb0f126d9c7e8776966db43b4f5ea8a4317341d
MD5 a32b922b70c50b342abe7e825f6f1046
BLAKE2b-256 fc7b7b294096294a002446da964b4d83dbbc1fd5dcc3425742061d7fbb633aa5

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for griddly-1.2.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6f9b154b6afd4d66de38bde6da5ac84028f33def7700fa07457b2670cebb9a62
MD5 7508113fadb7ec6e0149037d4536fe4e
BLAKE2b-256 8efb2b7e6a58c4432ae2cc67d5dbf53ef9ea0f5d69eb89822c91d5eda8d22a77

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for griddly-1.2.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a5d21647a7c0253c8bd39f536bc9d5ddbf77d9964cf24e54f90c04a9d5b9e2c1
MD5 f42c9e148ef7c22d9b832fba75bdc0f8
BLAKE2b-256 7b529a825807660d64ad47c9f711510b3cfb090c2031f9f57c52a3225b2c14a6

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.9

File hashes

Hashes for griddly-1.2.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bd8d2687a724ec25da3c190cb6c94b3c6204456ef9b1533993b843bb5589d186
MD5 1aced4674ff274adb1219463b75de103
BLAKE2b-256 a92798e494943d9071c6ae5072fccb5676ec3c83018b088c8ab4ccb284e7bae9

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for griddly-1.2.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dea3d2a3d5f6cffe17e45d4b003836a2d0e3bf3a009b7b50d2da48e65ffc588a
MD5 c1e1ef8906f77884b9319a491b56bf18
BLAKE2b-256 be5034c2d68ec47072f811838642511237e6eaa54e4fcdd0ee2b84d7fa6ae826

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for griddly-1.2.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 5136d1e1f4561816ab5ccc00801d756b09771094fe812e69c5217fb691124beb
MD5 52cfcbfe9d1ee443d3270a76c02d7de0
BLAKE2b-256 9c243fc09c16cc0aa2ea8bb3a951323f095be740cb9d5763e91ec6581af93cf9

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 6.6 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.8

File hashes

Hashes for griddly-1.2.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 bfbe060737d42ed2fc542acdaf7e1c3018a85ed862fbdcd8ff0268f8a62356ca
MD5 ccdb2b74e478992ffa0576700de8db3d
BLAKE2b-256 79f3466eb11be4ed5604ab32419c1af514636214eb90146154beb428a2f0f123

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.13

File hashes

Hashes for griddly-1.2.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5ce1d59c241d048cfffb58cfb5b8eff24f811852703420c0568b07eff7f85bc4
MD5 ac81bd6f42f9564a82ab5d3284e4eb07
BLAKE2b-256 7c6c4ab342d4ca360fa75b0ae034aab22b8dcffd295855baef43a872f0382da0

See more details on using hashes here.

File details

Details for the file griddly-1.2.1-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.1-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.7 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.6.13

File hashes

Hashes for griddly-1.2.1-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 d93acda819c444b3df9368ed4d6dcefe77588f20229aecfb86b88719b7399637
MD5 f28200886d614dc0563fc1411c78315d
BLAKE2b-256 3b9d50278cda7818b55fb559fe7beea19771126b695f401f8c4d5a144ea96d45

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