Skip to main content

Learning environment for the game of hanabi.

Project description

Learning environment for the game of hanabi.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hanabi_learning_environment-0.0.4.tar.gz (78.1 kB view details)

Uploaded Source

Built Distributions

hanabi_learning_environment-0.0.4-cp310-cp310-win_amd64.whl (28.6 kB view details)

Uploaded CPython 3.10 Windows x86-64

hanabi_learning_environment-0.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (115.5 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

hanabi_learning_environment-0.0.4-cp39-cp39-win_amd64.whl (28.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

hanabi_learning_environment-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (115.5 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

hanabi_learning_environment-0.0.4-cp38-cp38-win_amd64.whl (28.6 kB view details)

Uploaded CPython 3.8 Windows x86-64

hanabi_learning_environment-0.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (115.5 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

hanabi_learning_environment-0.0.4-cp37-cp37m-win_amd64.whl (28.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

hanabi_learning_environment-0.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (115.5 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

File details

Details for the file hanabi_learning_environment-0.0.4.tar.gz.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4.tar.gz
Algorithm Hash digest
SHA256 a032a914bb4b0165372591f1fce57922431b494dd0332db36f61da9bddd6f447
MD5 a93456dab31f5aa93911229e54b3ad73
BLAKE2b-256 4926aba4bb75c2026b220437370fba7c86706bf0ad9e947531fe34696a7125d3

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8de076c0ab1e3d48ee4253b09735bce5d969cd799922175ade114499f7e0b950
MD5 c3812c8d5fce56d57e868259fa91fee8
BLAKE2b-256 b29fc0de261c05106268db600c556ee81d22f2ad3d35cdf5e0ac7f54af189f9c

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 6d66443c4ebbd3b50eec89fc8c57df11a30ae6021f94e3d10435f073ef1f3cb2
MD5 3faeb5cc34a8bfbd85d754c71d8538f1
BLAKE2b-256 739da5ba0fce5fc2b5adb0bef02b6a9a0e6f3d3aa8658d5e0ccadd5d5c39b036

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 94b4af5e723b5e9f24a7b1897469acfe744684fb07c53b9293ec3470499b9e0c
MD5 434421a033606553a0c7d7cc3c766bc2
BLAKE2b-256 0aeb1332402dd4168f895b5706f1cee56f2a59302b8338a5c73c00992a3549e4

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4374f4ea116ae44e926ec7dd22b56f77151939dcc90cd78fd051b419247a00c1
MD5 fd8f477f4c5835a2d3a1904d2e23919f
BLAKE2b-256 90286282144ccc27bf8260a99f7d86a34007b9bb7fa35571a88e3151d54e2d39

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 57ed19c158c21c288fc0f20e4b093a78acf440eb740eb288ac93759b8a7ac905
MD5 7b72362dc1f35bbbb36452fae10aa996
BLAKE2b-256 d06912aebff3ab582a6a51145e76c4bcdce85ca42c6af6d42fec6bfc85758ecc

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b8fc5a5eb425d16a059f2c3753052e5c4eb4f20f6a860dc4734623ee03f90908
MD5 987acde2bd1e130ffc3d0c47226ee63d
BLAKE2b-256 330238cc1b87f1a3ce524197b0e2fa293985ae24da1c06c934caacc6feed9109

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 737561e08fa1b44df3860c83c66e757e463641ff1f69db6530b2828d77269a4f
MD5 ac4219201bb0d3cd37babeedeb4254ed
BLAKE2b-256 94a35c267dd6fe1c2587310c0af375ef84fe3add49173675e98449ae3d2c513a

See more details on using hashes here.

File details

Details for the file hanabi_learning_environment-0.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for hanabi_learning_environment-0.0.4-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b2bd068df20fa3382bd9d79d156f1a7956449fa4bd4a0e1b93f7804188f31632
MD5 611b889cfa12890fbb78b171c9ace9db
BLAKE2b-256 50f92526c3b7e8d9e529d92104b41654bc9787e0cc1ff06920e8c851f665b473

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page