Overload NumPy Functions

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License Copyright (c) 2022, Nathaniel Starkman All rights reserved. Redistribution and ...)
  • Author: Nathaniel Starkman
  • Maintainer: Nathaniel Starkman
  • Tags numpy, interoperability
  • Requires: Python >=3.8
Classifiers

Project description

Tools for implementing __numpy_function__ on custom functions.

Quick Worked Example

This is a simple example.

First, some imports:

>>> from dataclasses import dataclass
>>> from typing import ClassVar
>>> import numpy as np
>>> from overload_numpy import NumPyOverloader, NDFunctionMixin

Now we can define a overload_numpy.NumPyOverloader instance:

>>> VEC_FUNCS = NumPyOverloader()

The overloads apply to an array wrapping class. Let’s define one:

>>> @dataclass
... class Vector1D(NDFunctionMixin):
...     '''A simple array wrapper.'''
...     x: np.ndarray
...     NP_FUNC_OVERLOADS: ClassVar[NumPyOverloader] = VEC_FUNCS

Now numpy functions can be overloaded and registered for Vector1D.

>>> @VEC_FUNCS.implements(np.concatenate, Vector1D)
... def concatenate(vec1ds: tuple[Vector1D, ...]) -> Vector1D:
...     return Vector1D(np.concatenate(tuple(v.x for v in vec1ds)))

Time to check this works:

>>> vec1d = Vector1D(np.arange(3))
>>> newvec = np.concatenate((vec1d, vec1d))
>>> newvec
Vector1D(x=array([0, 1, 2, 0, 1, 2]))

Great. Your turn!

Details

See the Docs.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD 3-Clause License Copyright (c) 2022, Nathaniel Starkman All rights reserved. Redistribution and ...)
  • Author: Nathaniel Starkman
  • Maintainer: Nathaniel Starkman
  • Tags numpy, interoperability
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.1.0

This version

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 Distribution

overload_numpy-0.0.1.tar.gz (23.8 kB view details)

Uploaded Source

Built Distributions

overload_numpy-0.0.1-py3-none-any.whl (11.7 kB view details)

Uploaded Python 3

overload_numpy-0.0.1-cp310-cp310-win_amd64.whl (72.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

overload_numpy-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (162.0 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

overload_numpy-0.0.1-cp310-cp310-macosx_11_0_arm64.whl (88.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

overload_numpy-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl (90.6 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

overload_numpy-0.0.1-cp310-cp310-macosx_10_9_universal2.whl (166.5 kB view details)

Uploaded CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

overload_numpy-0.0.1-cp39-cp39-win_amd64.whl (72.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

overload_numpy-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (161.2 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

overload_numpy-0.0.1-cp39-cp39-macosx_11_0_arm64.whl (88.6 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

overload_numpy-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl (90.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

overload_numpy-0.0.1-cp39-cp39-macosx_10_9_universal2.whl (166.6 kB view details)

Uploaded CPython 3.9 macOS 10.9+ universal2 (ARM64, x86-64)

overload_numpy-0.0.1-cp38-cp38-win_amd64.whl (72.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

overload_numpy-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (159.2 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

overload_numpy-0.0.1-cp38-cp38-macosx_11_0_arm64.whl (87.5 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

overload_numpy-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl (89.1 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

overload_numpy-0.0.1-cp38-cp38-macosx_10_9_universal2.whl (163.8 kB view details)

Uploaded CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file overload_numpy-0.0.1.tar.gz.

File metadata

  • Download URL: overload_numpy-0.0.1.tar.gz
  • Upload date:
  • Size: 23.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.14

File hashes

Hashes for overload_numpy-0.0.1.tar.gz
Algorithm Hash digest
SHA256 e60ced859883509b45b0d9c0676cb8e34ff75c414ade5173aceea04f06e1ee6e
MD5 4fec3673eb99f23e628bfcbf0d486d96
BLAKE2b-256 9d7fbe3210590b4488875486109159e8a2a196366bd8eb4f264a3b83bbb09fc1

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 011aa5b5ff8c5a9b1248f10513f978b560eb5ff82c595fd9d35025bab8a051c5
MD5 a0b70fa90a939d3833b2e86bb1212a8f
BLAKE2b-256 c3b9c928ca07a6701f320a307fcdf200f260487c34eaf978c3b1184b04b933c3

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 4c0d3ec7f9c880dc3e23fbff25b5b049e6cf55293347f9e5b6c8eb5df4d39865
MD5 e8516243c4322b028912931da4e9c45f
BLAKE2b-256 45c0b62efc4ee224b717a3368dfc6746fc7d8e04ff1bf2e5bec230b77f289227

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b6f05f385e9ac62c37b5ec4b36e67932458f1cf4a638be6970310f7c2fe78032
MD5 96b589c08032566dee911bba5349a46f
BLAKE2b-256 19eb952d3c6986635e01c9b949fc09961da02feb8c9053dea56be578cc80bb52

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ff951574ceb2f5c8a54b6f0015497b9482ffdae9b2569c6bd167fe5282f0a5c2
MD5 7eb2bc397e7fddd6960d8212a1f30e45
BLAKE2b-256 5a78d0c8f777296100ddbdebb5d083acb7b2aacdd8b917675e42ac811ee17b7a

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0890d5114f196f663a7ead85506d9a236579bb878e02413b61d453c0400303d0
MD5 5fb122409467ed39b8830956655d5ea5
BLAKE2b-256 16d50f5c1cd03fe913f44a06a88597226aab28add6103ae43070bbcf1dfc039a

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d38a8372d40cf389c2b3722e1029e8544c27b5fac74c60e82257d53e52853e83
MD5 8c58737d0726eefd70e4875f1f724390
BLAKE2b-256 5fd7c7d71cb1a07087d203577e8f79c7315017aff0e6918060e703d4d1508cb8

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 f2ed7f13f5f326cf515a73089e351bb3660bc76bc848dff64d27f7d6555acea5
MD5 ef0f1a127aca449387945da79d4fadbc
BLAKE2b-256 3daec242358345e8f1ebecdae5063cefb87ad661d54a01627f745d2adff50eea

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5e0b0aca5c31ff76c3d7061abc87ab5b330e8f1737408cce1296691e4d2683c2
MD5 f8c1bd787461137a2b65d17e8a351abd
BLAKE2b-256 1f6acc25af3ac5477a57adb8e7171df3067f6aa595d99fa3c2e958308351105f

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d9c34f4dd87cb3c73a4d53c7a1d7a5c8873d10226145d179de9cfed801b35805
MD5 0f1a43bcb35b4286750ee9dcbf137b2a
BLAKE2b-256 624314b5209da0e70bf5fd52469810b0280e338ce748647f889f051114b213a4

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ed91554eb9deb4bd36c7637ca13cd1aeb0d958840fd1aa5a3aa0d156cc87ed89
MD5 9b0b9e61fceb1b8cca593d002325c714
BLAKE2b-256 ca5c0edb90478070106238484b0c2b2b0ab7b12fd31fe513ecfd3a387b0a5f6d

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 d465645b967cbd8cc01c292cdf2257a5f3f0935f9e72dd26beb84513d1422437
MD5 c2e03f2e2d21537c05a9d2d8f9a67962
BLAKE2b-256 a25f359980af490a78e07f56eee3b950f6c5be98e452e9912e974f4cfd3d302e

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 3fa4050bf5a434c3069e42069f8c50d94d29a916ef06d98073cc3efc45a060d3
MD5 153682769c3a471e6976fd1692a3fd04
BLAKE2b-256 d684318141617b34bbf67a181bc67365277b66b76a67f2feed53147c328e0278

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 117892522642f243135f3d7eacd172a51de641d41016ea688fc85d1d246f1894
MD5 57fcf12cd7a1db2a5f315d317e3c2b4f
BLAKE2b-256 ff7d031626da853a580292cd84e0ef63f3e167e1d2e437bff03e819874ecfc34

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 25787a2f51c100d6dbd178775bd09dee7de282a450d4fd81bacac7387f47da26
MD5 f6d26df67a51d68a5512c8f18b4f70e5
BLAKE2b-256 79e25512397aa3f2b15233772b0ca91a7d7c72cb52b339943008def4f28fb263

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 6d357290586b6463110d5d17a5ad3c7052329cc738937d1af6cc8b768643f7a2
MD5 485110efe54362b96ea470a6cffee596
BLAKE2b-256 7a7bc58f28efc51c80475f028bc3b881a60782d39abba98f94a5b562836bbabb

See more details on using hashes here.

File details

Details for the file overload_numpy-0.0.1-cp38-cp38-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for overload_numpy-0.0.1-cp38-cp38-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 ff87e4b3f7239d9ebdced6a87c0d2a2e0cb816ecca3ec7b31f382e1c22f063ba
MD5 b40fcad619f559c82c2a867a21bed4df
BLAKE2b-256 bd1e0292d1897329c283c184428ad6491cbf2066739dc6be24a88e2f3327aee4

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