Array interface object for Python with pluggable backends and a multiple-dispatchmechanism for defining down-stream functions

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for habbasi from gravatar.com habbasi Avatar for saulshanabrook from gravatar.com saulshanabrook

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License (Revised))
  • Maintainer: Hameer Abbasi
  • Tags uarray, numpy, scipy, pytorch, cupy, tensorflow
  • Requires: Python >=3.5, <4
Classifiers

Project description

uarray - A back-end mechanism geared towards array computing

Join the chat at https://gitter.im/Plures/uarray Binder Build Status PyPI

uarray logo

Contributing

See CONTRIBUTING.md for more information on how to contribute to uarray.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for habbasi from gravatar.com habbasi Avatar for saulshanabrook from gravatar.com saulshanabrook

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License (Revised))
  • Maintainer: Hameer Abbasi
  • Tags uarray, numpy, scipy, pytorch, cupy, tensorflow
  • Requires: Python >=3.5, <4
Classifiers

Release history Release notifications | RSS feed

0.9.1

0.8.8

0.8.7

0.6.0

This version

0.5.1

Download files

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

Source Distribution

uarray-0.5.1.tar.gz (36.4 kB view details)

Uploaded Source

Built Distributions

uarray-0.5.1-cp37-cp37m-win_amd64.whl (30.7 kB view details)

Uploaded CPython 3.7m Windows x86-64

uarray-0.5.1-cp37-cp37m-win32.whl (28.6 kB view details)

Uploaded CPython 3.7m Windows x86

uarray-0.5.1-cp37-cp37m-manylinux1_x86_64.whl (133.8 kB view details)

Uploaded CPython 3.7m

uarray-0.5.1-cp37-cp37m-manylinux1_i686.whl (128.7 kB view details)

Uploaded CPython 3.7m

uarray-0.5.1-cp37-cp37m-macosx_10_6_intel.whl (46.4 kB view details)

Uploaded CPython 3.7m macOS 10.6+ intel

uarray-0.5.1-cp36-cp36m-win_amd64.whl (30.8 kB view details)

Uploaded CPython 3.6m Windows x86-64

uarray-0.5.1-cp36-cp36m-win32.whl (28.6 kB view details)

Uploaded CPython 3.6m Windows x86

uarray-0.5.1-cp36-cp36m-manylinux1_x86_64.whl (133.8 kB view details)

Uploaded CPython 3.6m

uarray-0.5.1-cp36-cp36m-manylinux1_i686.whl (128.7 kB view details)

Uploaded CPython 3.6m

uarray-0.5.1-cp36-cp36m-macosx_10_6_intel.whl (46.4 kB view details)

Uploaded CPython 3.6m macOS 10.6+ intel

uarray-0.5.1-cp35-cp35m-win_amd64.whl (32.9 kB view details)

Uploaded CPython 3.5m Windows x86-64

uarray-0.5.1-cp35-cp35m-win32.whl (30.1 kB view details)

Uploaded CPython 3.5m Windows x86

uarray-0.5.1-cp35-cp35m-manylinux1_x86_64.whl (133.9 kB view details)

Uploaded CPython 3.5m

uarray-0.5.1-cp35-cp35m-manylinux1_i686.whl (128.7 kB view details)

Uploaded CPython 3.5m

uarray-0.5.1-cp35-cp35m-macosx_10_6_intel.whl (46.4 kB view details)

Uploaded CPython 3.5m macOS 10.6+ intel

File details

Details for the file uarray-0.5.1.tar.gz.

File metadata

  • Download URL: uarray-0.5.1.tar.gz
  • Upload date:
  • Size: 36.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1.tar.gz
Algorithm Hash digest
SHA256 9dea1e592ab669ed14019a46c00281477db124eb3922f55fdba1f24b8a8d5748
MD5 7aac3b0f5953e309a87a1c94bc5badfe
BLAKE2b-256 b3b9470567d7debed22d99c87b33b251ef50e701f475476f7ed3cf32f3504954

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: uarray-0.5.1-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 30.7 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b8ece707dbda0a67ab3220774d90d0530204d5eb70393fe7f404c745aaebb483
MD5 18b0cb0ce0ae0d386f702408de9fee51
BLAKE2b-256 2c6945f93263c3367c4eea980457a9ed9ec884a79b8061ff65991aec99f9bfbe

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp37-cp37m-win32.whl.

File metadata

  • Download URL: uarray-0.5.1-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 28.6 kB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 a0e55bd2c21bb3897fbe0af8161a6cc45815dd0186dd27efc2089b9c6f8e5e0c
MD5 e9a26d37493f9e46d85c0bd9c3ebd3bf
BLAKE2b-256 4e1cbd229dd9d2a522b79bb87093b45e6f3f138860ed53848060c75e19baa29d

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: uarray-0.5.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 133.8 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e838804e0c00d6f4a19a7a059db4e342c2643499a8393111ef91df773a0d0598
MD5 9f19b782804b8b08a0a1d550ab751e51
BLAKE2b-256 f75a860de02bf66961601a8a80c3ff102a05b7dccbb4085c7073ffc818dc37bf

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp37-cp37m-manylinux1_i686.whl.

File metadata

  • Download URL: uarray-0.5.1-cp37-cp37m-manylinux1_i686.whl
  • Upload date:
  • Size: 128.7 kB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp37-cp37m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 c7b03e6663ba36c6edcedbd6b2786f44169621c0ea5f4f98e31a5bdafb7f1e5b
MD5 c2d9314f280fe701232fda04f86df141
BLAKE2b-256 6a3badbe9eb35fdf2fb79bf0ba4031f5c71e542716dd99a979d65ba5e860cb2e

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp37-cp37m-macosx_10_6_intel.whl.

File metadata

  • Download URL: uarray-0.5.1-cp37-cp37m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 46.4 kB
  • Tags: CPython 3.7m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp37-cp37m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 d4c949496028c5883a90e2bf03479126187e76cb55241be02d50c2bf4b7f1405
MD5 bb478283945fd5dc18e6b202031015c9
BLAKE2b-256 33770f36d355284debd2a7d7fdfe7b57fbaa96f490d113e795c2830432e2975f

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: uarray-0.5.1-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 30.8 kB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 86be802735acb2c4701b235a2efe9c325d5441b0ad0daa2d0154b9255d9fe756
MD5 76a284d10a81b6213fec602170de5b9f
BLAKE2b-256 d1172895ca1e85ca09bb8b6a39fb68b587f721d1cdd3d0d7771b9aeb2beb082c

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp36-cp36m-win32.whl.

File metadata

  • Download URL: uarray-0.5.1-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 28.6 kB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 274b0a3f948559497acdeedcbac76c1627d9b145f28b673fa6bd0f68b1e38f99
MD5 d6c2bfc39c12e2c9f38745351c8cf123
BLAKE2b-256 1a1e1426b33579fb07f5d552cc513a762881a3207fb10213815bf3576238f843

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: uarray-0.5.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 133.8 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 611a23007e408ddee93c040f8aa5e5633673c34a12606acfd06b2ae43dc6202c
MD5 c68496e78aaa949f56eb3a4cfdf13894
BLAKE2b-256 21527aca28c1d3cb44933d8a90c72274f5aa4f9ed8e8e6e04fd734f0705e16d6

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

  • Download URL: uarray-0.5.1-cp36-cp36m-manylinux1_i686.whl
  • Upload date:
  • Size: 128.7 kB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 757c87778a90750c5e73523d83b3e0dbe411231f2df06c3380bb83cee2badab9
MD5 e9836bf22108a88854e59e5e4f8dbce0
BLAKE2b-256 b200e568b44c8db96dbd985d3d86a9b441b443de6d77eae131fc7374cc645dfd

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp36-cp36m-macosx_10_6_intel.whl.

File metadata

  • Download URL: uarray-0.5.1-cp36-cp36m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 46.4 kB
  • Tags: CPython 3.6m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp36-cp36m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 f6e79489a8c3b381fe31eb98bbd7e48bca6aa0880fe8eb6de54603a891c51e2c
MD5 73e91e1b99908bec040f02da694bf042
BLAKE2b-256 aaa275c34b84cf0da7937003833b0c8126fcddfdfa8fa5fb416eae3aef326287

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: uarray-0.5.1-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 32.9 kB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 c910ca7eb73d8fdb81bcd77fb6bf2b33448b07b9f37f6e05d13b34bc0c090931
MD5 3a36971c1b73465295e5d2b52b420118
BLAKE2b-256 e2cad4a0042f06c50ed56f72b25d748e2073e3166c99170fcaf3f84866763877

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp35-cp35m-win32.whl.

File metadata

  • Download URL: uarray-0.5.1-cp35-cp35m-win32.whl
  • Upload date:
  • Size: 30.1 kB
  • Tags: CPython 3.5m, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp35-cp35m-win32.whl
Algorithm Hash digest
SHA256 1346815c5323fd6e6483948f5ea0683ca4d5661b6ebd107eecbe3c91dce2eaa2
MD5 3669f6e314b9cb4156859526d6cd39bd
BLAKE2b-256 2802799a6e09203f49c13ce33952a79b1170fe59b7f8b27f029f2b098c37a4b4

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: uarray-0.5.1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 133.9 kB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d30190d4a32ccfd1875ee060d43681139d330d061ec933a6ae078007277aebab
MD5 2cf7e6047d4d9f7bda3b08cec9e7a61f
BLAKE2b-256 4b60e3833dbee6c92445f1e17ae3a5ec9985053711e21f4a21ff437f1a70821b

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp35-cp35m-manylinux1_i686.whl.

File metadata

  • Download URL: uarray-0.5.1-cp35-cp35m-manylinux1_i686.whl
  • Upload date:
  • Size: 128.7 kB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 64aeaeeda6fe057b803b1cf11cadabcfb6f4f5c5195db6a29bf6d118212f6ed6
MD5 336f700ff7c8262584a3a839bbde9ba2
BLAKE2b-256 cb5edab6f497569977ffaaca1a83165b320fc81c1a350065ef20973d4c2a0d8e

See more details on using hashes here.

File details

Details for the file uarray-0.5.1-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

  • Download URL: uarray-0.5.1-cp35-cp35m-macosx_10_6_intel.whl
  • Upload date:
  • Size: 46.4 kB
  • Tags: CPython 3.5m, macOS 10.6+ intel
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.7.3

File hashes

Hashes for uarray-0.5.1-cp35-cp35m-macosx_10_6_intel.whl
Algorithm Hash digest
SHA256 28e25bb68e77606e124fa5117d7dedef20a8f261a5d95c51f8528c29e54c0ea5
MD5 a2466e4c82fc82b6c10b883c8099b817
BLAKE2b-256 c0033e81ce946959b550971c24f634bfccbfcafe7390e3f2921bde87e1742f39

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