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

This version

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-1.2.2-cp38-cp38-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.2.2-cp38-cp38-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8

griddly-1.2.2-cp38-cp38-macosx_10_15_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.2.2-cp37-cp37m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.2.2-cp37-cp37m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7m

griddly-1.2.2-cp37-cp37m-macosx_10_15_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-1.2.2-cp36-cp36m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.2.2-cp36-cp36m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.6m

griddly-1.2.2-cp36-cp36m-macosx_10_15_x86_64.whl (6.8 MB view details)

Uploaded CPython 3.6mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.2.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.2-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/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10

File hashes

Hashes for griddly-1.2.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 04843e1a329298047194845c080bf41b597c758360ccd50d7fe5f312e6b80aa9
MD5 e01f26c2058a7d90c84b4c2debbaf588
BLAKE2b-256 1cd50835e29f8f4669a7ffa41ea5ea1cd0949dbfea3f1edd4259fede8dc01880

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.2-cp38-cp38-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.11

File hashes

Hashes for griddly-1.2.2-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f5cb5dc40c6ec35295ff2398e45c1e76421a8eff8bb42de1f745afaa9d8716c4
MD5 dfcf4d44be293450bd80002ccb005639
BLAKE2b-256 24c1b790eb0289f8fa2d82f935fe10e4f209eb028b390a1cdb682406becd5400

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.2-cp38-cp38-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.8, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.11

File hashes

Hashes for griddly-1.2.2-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 585677b8745ddfe0fc0158f6544e19cc2356e7d7bd52d8e26d2de265bef1f57f
MD5 9a1073e5c46584d9a40cccdc30b12e9a
BLAKE2b-256 572aff0c6ddacead4b137b32ed91a3b2e8c1c2bcd56392f1ef4328602dfcb666

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.2-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/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.9

File hashes

Hashes for griddly-1.2.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8049cb339cf86e94ca7fc6b517c14f0d6f09f941290794cc7483d21631d6d868
MD5 a8678d48aa5c68412fbfed5d6cfeecff
BLAKE2b-256 6613d98ce861d6a8877585ce00667728a7570d78938debf892b075f1a6e0b6e4

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.2-cp37-cp37m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.11

File hashes

Hashes for griddly-1.2.2-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 62a24957cbf711070b82fdf5146b72f2aae71fd65054e5bab80b95c8666e7025
MD5 f56982133b6f0db216ffe9e245acfc0a
BLAKE2b-256 cc85b276d3703ee59f83567e14bed3443d3b3bef9c0133e776480bccfa758cb2

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.2-cp37-cp37m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.7m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.7.11

File hashes

Hashes for griddly-1.2.2-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 027f9aecd5d385ca764061fcf1af40c2bcf543ac3b2f7d1eae21c6fc904524f3
MD5 25e9e200a02705a2efb854bcd9f3097f
BLAKE2b-256 14b548dc317ec677c93ac7a70f3504fa9ab15fcbeee0a61b9bf7ab62c9bd14cd

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.2.2-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/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.8

File hashes

Hashes for griddly-1.2.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 2b1c187080a7ffbaacefbb6f22d84c464c35812a0644777e812e44e7fc4d06c2
MD5 3dae248d663bb017649d29b2d64db286
BLAKE2b-256 c95572234aecbc3ac7f220fedf68e51f0863ff11b1b511aa38a968d8ae8ed035

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.2-cp36-cp36m-manylinux2014_x86_64.whl
  • Upload date:
  • Size: 6.9 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.14

File hashes

Hashes for griddly-1.2.2-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 bf53999abbb5282dc032eb4d00671cb606e58e36e2c9443546c1862478bc0aa2
MD5 eeda9041ee6396bfb2d5915e5f52946d
BLAKE2b-256 e48c3166787f4501913eb16d3e8081bf8a13db3abf3a6ff36780e5da700a0ad8

See more details on using hashes here.

File details

Details for the file griddly-1.2.2-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.2.2-cp36-cp36m-macosx_10_15_x86_64.whl
  • Upload date:
  • Size: 6.8 MB
  • Tags: CPython 3.6m, macOS 10.15+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.6.14

File hashes

Hashes for griddly-1.2.2-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 18fcf0962061020161f2a99d64b3024d84fba8d6c01f70a7a1542ca114516449
MD5 27da081bc0f91ef79c0ef77aa36e97a4
BLAKE2b-256 4ef5cc803ac260da2e82bf4fc810a5ead3de750b81346130ab5d08cfda80e177

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