Griddly Python Libraries

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

Release history Release notifications | RSS feed

1.6.7

Mar 15, 2023

1.6.6

Jan 4, 2023

1.6.5

Jan 2, 2023

1.6.3

Dec 16, 2022

1.6.2

Dec 10, 2022

1.6.1

Nov 23, 2022

1.6.0

Nov 23, 2022

1.5.1

Oct 4, 2022

1.5.0

Oct 4, 2022

1.4.3

Jul 30, 2022

1.4.2

Jul 20, 2022

1.4.1

Jul 17, 2022

1.4.0

Jul 15, 2022

1.3.9

May 31, 2022

1.3.8

May 18, 2022

1.3.7

May 15, 2022

1.3.6

May 11, 2022

1.3.5

Apr 29, 2022

1.3.4

Apr 28, 2022

1.3.3

Apr 25, 2022

1.3.2

Mar 30, 2022

1.3.1

Mar 30, 2022

1.3.0

Mar 23, 2022

1.2.36

Feb 22, 2022

1.2.35

Feb 16, 2022

1.2.34

Feb 14, 2022

1.2.33 yanked

Feb 12, 2022

Reason this release was yanked:

serious bug not caught in testing

1.2.32

Feb 9, 2022

1.2.31

Feb 8, 2022

1.2.30

Feb 7, 2022

1.2.29

Feb 2, 2022

1.2.28

Jan 31, 2022

1.2.27

Jan 31, 2022

1.2.26

Jan 28, 2022

1.2.25

Jan 20, 2022

1.2.24

Jan 11, 2022

1.2.23

Dec 13, 2021

1.2.22

Dec 12, 2021

1.2.21

Dec 11, 2021

1.2.20

Dec 11, 2021

1.2.19

Dec 9, 2021

1.2.18

Dec 7, 2021

1.2.17

Dec 2, 2021

1.2.16

Dec 1, 2021

1.2.15

Nov 18, 2021

1.2.14

Nov 15, 2021

1.2.13

Nov 15, 2021

1.2.12

Nov 4, 2021

1.2.11

Oct 29, 2021

1.2.10

Oct 27, 2021

1.2.9

Oct 23, 2021

1.2.8

Sep 6, 2021

1.2.7

Sep 1, 2021

1.2.6

Aug 5, 2021

1.2.5

Aug 4, 2021

1.2.4

Aug 4, 2021

1.2.3

Jul 29, 2021

1.2.2

Jul 26, 2021

1.2.1

Jun 28, 2021

1.2.0

Jun 4, 2021

This version

1.1.4

May 19, 2021

1.1.1

May 19, 2021

1.1.0

May 10, 2021

1.0.2

Apr 21, 2021

1.0.1

Apr 15, 2021

1.0.0

Mar 9, 2021

0.3.3

Jan 30, 2021

0.3.2

Jan 22, 2021

0.3.1

Jan 16, 2021

0.3.0

Dec 24, 2020

0.2.1

Dec 12, 2020

0.2.0

Dec 12, 2020

0.1.9

Nov 18, 2020

0.1.8

Oct 28, 2020

0.1.7

Oct 23, 2020

0.1.6

Oct 19, 2020

0.1.5

Oct 18, 2020

0.1.4

Oct 16, 2020

0.1.3

Sep 29, 2020

0.1.2

Sep 28, 2020

0.1.1

Aug 18, 2020

0.1.0

Aug 10, 2020

0.0.13

Aug 6, 2020

0.0.12 yanked

Aug 3, 2020

Reason this release was yanked:

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

0.0.11

Jul 22, 2020

0.0.10

Jul 14, 2020

0.0.9

Jul 14, 2020

0.0.8

Jul 12, 2020

0.0.7

Jul 10, 2020

0.0.6

Jul 8, 2020

0.0.5

Jul 2, 2020

0.0.4

Jun 20, 2020

0.0.3

Jun 19, 2020

0.0.1

Jun 14, 2020

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

griddly-1.1.4-cp38-cp38-win_amd64.whl (6.6 MB view hashes)

Uploaded May 19, 2021 CPython 3.8 Windows x86-64

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

Uploaded May 19, 2021 CPython 3.8

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

Uploaded May 19, 2021 CPython 3.8 macOS 10.15+ x86-64

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

Uploaded May 19, 2021 CPython 3.7m Windows x86-64

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

Uploaded May 19, 2021 CPython 3.7m

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

Uploaded May 19, 2021 CPython 3.7m macOS 10.15+ x86-64

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

Uploaded May 19, 2021 CPython 3.6m Windows x86-64

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

Uploaded May 19, 2021 CPython 3.6m

griddly-1.1.4-cp36-cp36m-macosx_10_15_x86_64.whl (6.7 MB view hashes)

Uploaded May 19, 2021 CPython 3.6m macOS 10.15+ x86-64

Hashes for griddly-1.1.4-cp38-cp38-win_amd64.whl

Hashes for griddly-1.1.4-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`5cc7f7861848f1888368ed8562ed96dbd6b91920b255c624e489b0c31999f80d`
MD5	`661a93d979ed89f4a328025313006fbe`
BLAKE2b-256	`d5c118d129764fd05d147018f5ef72388043eaffbb53623b000b963f69c2bccb`

Hashes for griddly-1.1.4-cp38-cp38-manylinux2014_x86_64.whl

Hashes for griddly-1.1.4-cp38-cp38-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`0d798dd0a406f93dca6091678418f8cb16687821e1e74c2790210cbff4fa0703`
MD5	`faca95334f4840814728347a63113317`
BLAKE2b-256	`551da85c5a7285349e0d8ca33595b7b05f89b1c75f7f3fe86f23a15f6c8f135f`

Hashes for griddly-1.1.4-cp38-cp38-macosx_10_15_x86_64.whl

Hashes for griddly-1.1.4-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`4db6b3a9d39b34c6f4f4b424e1fbf7a59ac353956277ed2fd821e877ae34d60d`
MD5	`bf56d4e52278474a8d54199280357a90`
BLAKE2b-256	`a1f8e464fe08c30bacac6fb7165e9ad385c01b4f12d5912d5512a9dd825653eb`

Hashes for griddly-1.1.4-cp37-cp37m-win_amd64.whl

Hashes for griddly-1.1.4-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`1ce7055635c07b0423d2c018ca8f8b0061892f9144c1670260e310dbf8b13fa5`
MD5	`7268c46cac50fe58763d5264c39f6b07`
BLAKE2b-256	`9c6ee88bed7e414676e0415e395a784f9b091bb5d1f62fd979f32619ab77bdaf`

Hashes for griddly-1.1.4-cp37-cp37m-manylinux2014_x86_64.whl

Hashes for griddly-1.1.4-cp37-cp37m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`78b764a008e7fbbb94425537069d698e076e66c6c905086d42f42036951a466f`
MD5	`9f35f5d68d306df193ac2f1144ba2845`
BLAKE2b-256	`71ddae8a576574ed0de4c92d1dc7a9e099dd9577931249ef92ff1b267d7ab258`

Hashes for griddly-1.1.4-cp37-cp37m-macosx_10_15_x86_64.whl

Hashes for griddly-1.1.4-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`48a7c2d1f0066a9d5429683c2258d36abf4c883ce502e45ac2ba411f7419100f`
MD5	`69a0f49737672e2cc1389246bb92e146`
BLAKE2b-256	`f61c909077fdfd7ec5a57bd30c08d38bbd4d315d399e3a52383c04991e56c2b7`

Hashes for griddly-1.1.4-cp36-cp36m-win_amd64.whl

Hashes for griddly-1.1.4-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`5ffd84f523b0ee0331151ac6eadc3cf91ba179c0556d82bdb1cb4f127d907631`
MD5	`8a8483cb15c33d4382d13d89fd0c0f97`
BLAKE2b-256	`dc26e8cc240d51af67578e8ffcd4b022be08f18b2983459996ae1b2ff840fbca`

Hashes for griddly-1.1.4-cp36-cp36m-manylinux2014_x86_64.whl

Hashes for griddly-1.1.4-cp36-cp36m-manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`7e26eb1a7610f1f10afbc9562478424bdbc9d747a040ee9e02dc4f1584094884`
MD5	`5f423371b873a82dd5279426ade5857b`
BLAKE2b-256	`17f01186605e90ede4d848d5b7e975593c0ad229d663265eba0d68691225c80b`

Hashes for griddly-1.1.4-cp36-cp36m-macosx_10_15_x86_64.whl

Hashes for griddly-1.1.4-cp36-cp36m-macosx_10_15_x86_64.whl
Algorithm	Hash digest
SHA256	`994db894972bd12353cd77593c2eedf627a7cbb08a017691e046c8073bd994d1`
MD5	`ad36fade52e086787fe9f4027e2e1b0e`
BLAKE2b-256	`2db34dada62924dd312b64a676d7caf55f07f88f75feafbc6e2338d029959556`