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

1.2.1

1.2.0

1.1.4

This version

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-1.1.1-cp38-cp38-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.1.1-cp38-cp38-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8

griddly-1.1.1-cp38-cp38-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.1.1-cp37-cp37m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.1.1-cp37-cp37m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7m

griddly-1.1.1-cp37-cp37m-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-1.1.1-cp36-cp36m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.1.1-cp36-cp36m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.6m

griddly-1.1.1-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-1.1.1-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.10

File hashes

Hashes for griddly-1.1.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c7b594d7c849bd34717e573e79208514207be181ffd86c9ac08ee99b0bcd5bea
MD5 279fe9e5ea74ffa238235f63dd2e3c2a
BLAKE2b-256 114ff9f59b0b0baa07d264478185820fc1a53f4d8fe6e1b66d5b78b0c86024c9

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.10

File hashes

Hashes for griddly-1.1.1-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dc5c6136b827d0447232239ab67ea82ac4d2eadd3dda64b23d4b3f021f03a529
MD5 a1aa916ad0f87f79e7beb11935ba5c72
BLAKE2b-256 fe0269c2b8ac5205d587d1197281358cf624b8c3029a712da3b6b77cd987b285

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.8.10

File hashes

Hashes for griddly-1.1.1-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 cdfd532c974347a9e2b99741efa73a79831b034b2bb454efe08c016c8b555b35
MD5 68bab0701548088098ce6ef574f7c8eb
BLAKE2b-256 c841426d80960d8f5a23ecc066709087747dc851d954be8467ea285abf9113ca

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.9

File hashes

Hashes for griddly-1.1.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 f635df70fb82b25b454dcb2181106642cad9879d204af1feda979c5e0d3c4a22
MD5 5cde3331fb20cae8ace11a5ba90d780f
BLAKE2b-256 e77c5eae84b637aa50d2ab568033df3b75d783f828ee7412214b3c73e8cff247

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for griddly-1.1.1-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3185a6ca3cf0404856bacf35904324b255bf65ed76345386d07cbdfbc230bfc7
MD5 03b6350af31a062c12b51869200e75df
BLAKE2b-256 43b4848fd206137acc491ccc404fd028fa905c8f53212f2efb7b0dd0394ce10e

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for griddly-1.1.1-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a6a6bcd2919e88dc44b870a3f159e88a54a13104f3936917eb598e2110797685
MD5 63eae9bbe12e43bb36b86ed9984ca08b
BLAKE2b-256 cbfe8907e642dc95c6d762b4f812e0c332d522729316112df2b6b07c118d87d6

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.8

File hashes

Hashes for griddly-1.1.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 777bb4738e33883aca37ed9b0db11640e48db47b9903b6cdd84645fa67ece369
MD5 d3c77af26701ca9ba2596a5d74a64224
BLAKE2b-256 6470495c5f49a913d3351102406964000f0de1b0a6b9f877ed058a3558032d65

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.13

File hashes

Hashes for griddly-1.1.1-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bc60000ee7f7f93cb59984bb8a6a68e1bd6faad50dbf03526fb934e8b7c96e00
MD5 1e5df006e83c8557ff2f906149accfd7
BLAKE2b-256 eb0c6d747713fff4e9c50917f21d785bca33292a089631eb56b3df436744e71a

See more details on using hashes here.

File details

Details for the file griddly-1.1.1-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.1-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/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.6.13

File hashes

Hashes for griddly-1.1.1-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 981ba7e2c44bb913daf85c6cfac2205f4d2a7bdc59dcc0a27510abb87ca28bce
MD5 3a9d9e4baa2bdf481f1cfd517995bc81
BLAKE2b-256 d0c73427c871073954c396a92652a23aaf3aa3d547c1e0110a35604ae9073568

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