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

This version

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-1.1.4-cp38-cp38-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.1.4-cp38-cp38-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.8

griddly-1.1.4-cp38-cp38-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.1.4-cp37-cp37m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.1.4-cp37-cp37m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7m

griddly-1.1.4-cp37-cp37m-macosx_10_15_x86_64.whl (6.7 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

griddly-1.1.4-cp36-cp36m-win_amd64.whl (6.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

griddly-1.1.4-cp36-cp36m-manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.6m

griddly-1.1.4-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-1.1.4-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5cc7f7861848f1888368ed8562ed96dbd6b91920b255c624e489b0c31999f80d
MD5 661a93d979ed89f4a328025313006fbe
BLAKE2b-256 d5c118d129764fd05d147018f5ef72388043eaffbb53623b000b963f69c2bccb

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0d798dd0a406f93dca6091678418f8cb16687821e1e74c2790210cbff4fa0703
MD5 faca95334f4840814728347a63113317
BLAKE2b-256 551da85c5a7285349e0d8ca33595b7b05f89b1c75f7f3fe86f23a15f6c8f135f

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 4db6b3a9d39b34c6f4f4b424e1fbf7a59ac353956277ed2fd821e877ae34d60d
MD5 bf56d4e52278474a8d54199280357a90
BLAKE2b-256 a1f8e464fe08c30bacac6fb7165e9ad385c01b4f12d5912d5512a9dd825653eb

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 1ce7055635c07b0423d2c018ca8f8b0061892f9144c1670260e310dbf8b13fa5
MD5 7268c46cac50fe58763d5264c39f6b07
BLAKE2b-256 9c6ee88bed7e414676e0415e395a784f9b091bb5d1f62fd979f32619ab77bdaf

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp37-cp37m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 78b764a008e7fbbb94425537069d698e076e66c6c905086d42f42036951a466f
MD5 9f35f5d68d306df193ac2f1144ba2845
BLAKE2b-256 71ddae8a576574ed0de4c92d1dc7a9e099dd9577931249ef92ff1b267d7ab258

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 48a7c2d1f0066a9d5429683c2258d36abf4c883ce502e45ac2ba411f7419100f
MD5 69a0f49737672e2cc1389246bb92e146
BLAKE2b-256 f61c909077fdfd7ec5a57bd30c08d38bbd4d315d399e3a52383c04991e56c2b7

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5ffd84f523b0ee0331151ac6eadc3cf91ba179c0556d82bdb1cb4f127d907631
MD5 8a8483cb15c33d4382d13d89fd0c0f97
BLAKE2b-256 dc26e8cc240d51af67578e8ffcd4b022be08f18b2983459996ae1b2ff840fbca

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp36-cp36m-manylinux2014_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7e26eb1a7610f1f10afbc9562478424bdbc9d747a040ee9e02dc4f1584094884
MD5 5f423371b873a82dd5279426ade5857b
BLAKE2b-256 17f01186605e90ede4d848d5b7e975593c0ad229d663265eba0d68691225c80b

See more details on using hashes here.

File details

Details for the file griddly-1.1.4-cp36-cp36m-macosx_10_15_x86_64.whl.

File metadata

  • Download URL: griddly-1.1.4-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-1.1.4-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 994db894972bd12353cd77593c2eedf627a7cbb08a017691e046c8073bd994d1
MD5 ad36fade52e086787fe9f4027e2e1b0e
BLAKE2b-256 2db34dada62924dd312b64a676d7caf55f07f88f75feafbc6e2338d029959556

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