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

This version

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

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-1.6.3-cp311-cp311-manylinux_2_28_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

griddly-1.6.3-cp310-cp310-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.10Windows x86-64

griddly-1.6.3-cp310-cp310-manylinux_2_28_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

griddly-1.6.3-cp310-cp310-manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.10

griddly-1.6.3-cp310-cp310-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.10macOS 10.15+ x86-64

griddly-1.6.3-cp39-cp39-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.9Windows x86-64

griddly-1.6.3-cp39-cp39-manylinux_2_28_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

griddly-1.6.3-cp39-cp39-manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.9

griddly-1.6.3-cp39-cp39-macosx_11_0_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

griddly-1.6.3-cp38-cp38-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.8Windows x86-64

griddly-1.6.3-cp38-cp38-manylinux_2_28_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.28+ x86-64

griddly-1.6.3-cp38-cp38-manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.8

griddly-1.6.3-cp38-cp38-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.8macOS 10.15+ x86-64

griddly-1.6.3-cp37-cp37m-win_amd64.whl (7.0 MB view details)

Uploaded CPython 3.7mWindows x86-64

griddly-1.6.3-cp37-cp37m-macosx_10_15_x86_64.whl (7.2 MB view details)

Uploaded CPython 3.7mmacOS 10.15+ x86-64

File details

Details for the file griddly-1.6.3-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 dcb4db3a1723ce08d734308aad262086c4a5cad918d6a583eb22c3c1733ff271
MD5 b7d9e4df48248c52fbe76625be9c51ff
BLAKE2b-256 8d1d6a5138369c3fcf077031887a9bc63da3d55a163ba15de61181856ff40d1f

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for griddly-1.6.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 bcf381851a837f994c01419e2db684b84d252373d854c935eed0118eb668fe0d
MD5 26446d26c92e4f8922b0f6177207d082
BLAKE2b-256 f96030ec3da2df2ce4c6b390efde1208f059fc80d97829d31b0e59c23e66a18a

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 14dfa0cc91c4f9f29333c1d90473c4cd2dc179fb7ed4e137c72319436bee324e
MD5 e8a5fb0aa50043af6d6579494ceed35e
BLAKE2b-256 36fdabe0a95901841dd8428ef05f36548eba73d3ef0f2077070c5741a1f87a2d

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6d9de4c53d78935c1c4562862cbf929c563b4e702292438e0999069c0e728a37
MD5 960fe629fcc91f75311cace0f06f080c
BLAKE2b-256 7b995c1aa0c41f3f4afd313d8eacf20d130346f5cb03bc6b4ac8a7f422a94c6c

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp310-cp310-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp310-cp310-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 925ff6817380ad74ffa830b880b94b769d07b8b72ab60b45df1922c437c6dc7e
MD5 04314cdd960c0b22276b5391e3141b24
BLAKE2b-256 fd5d6da78650faaed2a511196effa54c4b4467ee1f763415c2346848036dd61b

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for griddly-1.6.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 72b03e8c435bd9f6a20c597be0124756618badfbe2b19118c96ba1f210325afc
MD5 9dafe072024c285ad936a581a92fd422
BLAKE2b-256 132ebd91f18949c49bfc3aa3b6ba22bfb47d0afe2dfc6dc5f04d6659cf463e65

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 aeff0912102f718eccde7828e2921474c2d794c73070ab0529203e6d075cc393
MD5 c2a620d20d87cdeb16606f59d06685c8
BLAKE2b-256 c227959c4b7cd91c21c0530524a2557564f8719fe7a72137866c050f0fd22ed9

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ce4e9fd7dc9781f02445372596af3e94ae549280cb8a7f1e392995ead0ad1753
MD5 ad9b978a04c44cc06dec51acb064017c
BLAKE2b-256 6ad4d6d4964f8de6bfebff9153677b4de167c2a86654a45eca40c67a7dd6104b

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 28ca70503c972a14e7e661d26d55d0ff769d93a9346d5e62915aa2ddb14dd565
MD5 e4be5797bf4f2d5e7e95175b311507d0
BLAKE2b-256 772ee912233ed0e53fad5fe17b141d9e890083cdc32e670f23477988bc42c979

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.10

File hashes

Hashes for griddly-1.6.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 fc9f691f1524db2fe6a097c1c0a8bceb1069e32ff89cbe3ae2c71b96f955d578
MD5 11ab6c2a41ba63f4d89a0112630a0ba7
BLAKE2b-256 7890ef24d71a2ee6220fec99f7a0313766210a068cf046c6d2521bc7f2251e73

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp38-cp38-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp38-cp38-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 8dd19cb5ab0a33f5163d0404308c254ff584e079c9f89383d6bb44855a64e27b
MD5 2c3346989cce703e68fbb61c4e89f6cf
BLAKE2b-256 f55ef5aa0623513593a20839766e95a8f16e65ebeb57040035c2876473af7abc

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b30c6933e3dcc25649b142236f297f277e4ee071f948a47c6010c2a47332869c
MD5 ea381a090fd4549d308db4a79e470286
BLAKE2b-256 b4c2477402e5eb041546bf7c75d42f21984c049fd128442a5f2abd840b7e2482

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 03753e0941607a1a2600d167758c843944e2fbe1ca6d2ab3398a86ddec5595f1
MD5 c4084bf03c54603f014fac5eb2100f65
BLAKE2b-256 a2a47fe96dbb3eba62a1b47dc06e0cfd1c0e37abd6596203450c4e7a63b04189

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: griddly-1.6.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 7.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.7.9

File hashes

Hashes for griddly-1.6.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 c3d90f05b57246b9c50a657f4c87511f98851c80d1eb9c0b536c15604d34d7d6
MD5 1832c6655c52c6d58809a0ab6ff98f8c
BLAKE2b-256 7650fc508b67ebabbaadfb942c4e20763b8ff9845376dd5a5398fd1fe8bb2644

See more details on using hashes here.

File details

Details for the file griddly-1.6.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for griddly-1.6.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 825df6eb459bbc4a5bfe0b9f2457fc6fb3a6dc90ffacbadb68e9821ed724e99b
MD5 83be93c92543a3bee9743fbeb5cd14d9
BLAKE2b-256 3603b225b2c648b6e0e8a488e587498e5f8715894b886a8e3ac67fcfd1ecfa0b

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