An example of using numpy with pybind11

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Liam Keegan
  • Maintainer: Liam Keegan
  • Tags pybind11, cibuildwheel, c++, pypi, numpy, simple, example
  • Requires: Python >=3.7
Classifiers

Project description

pybind11-numpy-example

License: MIT PyPI Release Python Versions GitHub Workflow Status Documentation Status

What

A simple example of how to use pybind11 with numpy.

This C++/Python library creates a std::vector of 16-bit ints, and provides a Python interface to the contents of this vector in a few different ways:

  • a Python List (copy the data)
  • a NumPy ndarray (copy the data).
  • a NumPy ndarray (move the data).

Why

Python Lists are great! However, when storing many small elements of the same type, a Numpy array is much faster and uses a lot less memory:

Memory used vs number of elements

Time used vs number of elements

How

The pybind11 code is in src/pybind11_numpy_example_python.cpp.

The python package is defined in pyproject.toml and uses scikit-build-core.

Each tagged commit triggers a GitHub action job which uses cibuildwheel to build and upload wheels to PyPI.

The scripts used to generate the above plots are in scripts.

This repo was quickly set up using the SSC C++ Project Cookiecutter.

Project details

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Liam Keegan
  • Maintainer: Liam Keegan
  • Tags pybind11, cibuildwheel, c++, pypi, numpy, simple, example
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

1.0.1

1.0.0

0.0.13

0.0.12

0.0.11

This version

0.0.10

0.0.9

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

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

pybind11_numpy_example-0.0.10.tar.gz (86.6 kB view details)

Uploaded Source

Built Distributions

pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-win_amd64.whl (60.7 kB view details)

Uploaded PyPy Windows x86-64

pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (84.1 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (52.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-win_amd64.whl (60.7 kB view details)

Uploaded PyPy Windows x86-64

pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.8 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (83.9 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (52.1 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-win_amd64.whl (60.8 kB view details)

Uploaded PyPy Windows x86-64

pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (84.0 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (52.2 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-win_amd64.whl (60.6 kB view details)

Uploaded PyPy Windows x86-64

pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.3 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (83.7 kB view details)

Uploaded PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (51.7 kB view details)

Uploaded PyPy macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-cp312-cp312-win_amd64.whl (61.0 kB view details)

Uploaded CPython 3.12 Windows x86-64

pybind11_numpy_example-0.0.10-cp312-cp312-win32.whl (54.4 kB view details)

Uploaded CPython 3.12 Windows x86

pybind11_numpy_example-0.0.10-cp312-cp312-musllinux_1_1_x86_64.whl (604.3 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

pybind11_numpy_example-0.0.10-cp312-cp312-musllinux_1_1_i686.whl (661.5 kB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ i686

pybind11_numpy_example-0.0.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (81.1 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (86.0 kB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-cp312-cp312-macosx_10_9_x86_64.whl (52.0 kB view details)

Uploaded CPython 3.12 macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-cp311-cp311-win_amd64.whl (61.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

pybind11_numpy_example-0.0.10-cp311-cp311-win32.whl (53.7 kB view details)

Uploaded CPython 3.11 Windows x86

pybind11_numpy_example-0.0.10-cp311-cp311-musllinux_1_1_x86_64.whl (605.5 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

pybind11_numpy_example-0.0.10-cp311-cp311-musllinux_1_1_i686.whl (662.1 kB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ i686

pybind11_numpy_example-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (81.7 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (86.2 kB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-cp311-cp311-macosx_10_9_x86_64.whl (53.2 kB view details)

Uploaded CPython 3.11 macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-cp310-cp310-win_amd64.whl (60.9 kB view details)

Uploaded CPython 3.10 Windows x86-64

pybind11_numpy_example-0.0.10-cp310-cp310-win32.whl (52.4 kB view details)

Uploaded CPython 3.10 Windows x86

pybind11_numpy_example-0.0.10-cp310-cp310-musllinux_1_1_x86_64.whl (604.4 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

pybind11_numpy_example-0.0.10-cp310-cp310-musllinux_1_1_i686.whl (660.8 kB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ i686

pybind11_numpy_example-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (84.9 kB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-cp310-cp310-macosx_10_9_x86_64.whl (52.0 kB view details)

Uploaded CPython 3.10 macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-cp39-cp39-win_amd64.whl (60.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

pybind11_numpy_example-0.0.10-cp39-cp39-win32.whl (52.7 kB view details)

Uploaded CPython 3.9 Windows x86

pybind11_numpy_example-0.0.10-cp39-cp39-musllinux_1_1_x86_64.whl (604.3 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

pybind11_numpy_example-0.0.10-cp39-cp39-musllinux_1_1_i686.whl (660.9 kB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ i686

pybind11_numpy_example-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.9 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (85.0 kB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-cp39-cp39-macosx_10_9_x86_64.whl (52.1 kB view details)

Uploaded CPython 3.9 macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-cp38-cp38-win_amd64.whl (60.8 kB view details)

Uploaded CPython 3.8 Windows x86-64

pybind11_numpy_example-0.0.10-cp38-cp38-win32.whl (52.5 kB view details)

Uploaded CPython 3.8 Windows x86

pybind11_numpy_example-0.0.10-cp38-cp38-musllinux_1_1_x86_64.whl (604.3 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

pybind11_numpy_example-0.0.10-cp38-cp38-musllinux_1_1_i686.whl (660.5 kB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ i686

pybind11_numpy_example-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-0.0.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (84.8 kB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-cp38-cp38-macosx_10_9_x86_64.whl (51.9 kB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

pybind11_numpy_example-0.0.10-cp37-cp37m-win_amd64.whl (61.5 kB view details)

Uploaded CPython 3.7m Windows x86-64

pybind11_numpy_example-0.0.10-cp37-cp37m-win32.whl (53.5 kB view details)

Uploaded CPython 3.7m Windows x86

pybind11_numpy_example-0.0.10-cp37-cp37m-musllinux_1_1_x86_64.whl (605.5 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

pybind11_numpy_example-0.0.10-cp37-cp37m-musllinux_1_1_i686.whl (662.4 kB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ i686

pybind11_numpy_example-0.0.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (80.5 kB view details)

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

pybind11_numpy_example-0.0.10-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (85.1 kB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ i686

pybind11_numpy_example-0.0.10-cp37-cp37m-macosx_10_9_x86_64.whl (51.9 kB view details)

Uploaded CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file pybind11_numpy_example-0.0.10.tar.gz.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10.tar.gz
Algorithm Hash digest
SHA256 57abe112d27a71aac49b664de37f23ed0115122815e28ac78ad7c8d9a7b55c5f
MD5 25ccbbf1d9551fb3f0e84aa5a23e8755
BLAKE2b-256 3290015cbdff91bbe791d71e9f588d68aefcac4ff5fae0e30f14b2ca2e9910e0

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 184563d11745843f4be16b31c94f24c14c2b7f8c372cc44923d3477240d4b59e
MD5 1c7ac872ed3022e7e2a9873be64745a0
BLAKE2b-256 7b79b68d6b20284eb32db41dd43ffd19fc13c4cf230fd5fe4ae66569d61c78ca

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ecb65738c16f2f386bca8d7cf46cb990660ce6f961d09e1dca9ac456c412b771
MD5 22256c8f5e2e45b86768582463c37220
BLAKE2b-256 8ac90fca889f335992987e2d505f3518209cae9afacda84145c080f651ec9fc7

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 609d14294302f62ce932138582875f7c9840f5cf0edc374d6ed078ebe4778fb6
MD5 bbb4bfebc8a21d304260f1ab4585dedd
BLAKE2b-256 181e45fda6c44f6d39f09e4089ebbbd2ea5a893ccc6818997b8cdfa0cb1a67f9

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp310-pypy310_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2644e9d2b23cfd698b018acd2d0680dc7d479d35f6d7e688aa792f9e82e9e8d0
MD5 43cd6fbf13be579d8a4f02c8b1db165c
BLAKE2b-256 a3a58dc7829ea6541e0657cf534ca43476d498fe807024d717f72168f91de36c

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 23e74802888a53080b34bbca0ac4ed4903b26cacfe02b3329e8573c40becec40
MD5 75183c5a606a88a69c041efb145d1f2e
BLAKE2b-256 eef814f7d42d45720b2bb48f8d42808e70ad17058d33bf9f05e2866869c96721

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2305b57256af590c6e02ad8fd9fd51ca65e3abd57ea18b749a038c028da795e0
MD5 5d75335250cad3c408c3c0911f30b7da
BLAKE2b-256 631c4a61e0445d15dba8465a4bbf9643ca6071b0a50118118e375132546a865f

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 7a12b63dec604246736bbfbb406c0e390a060572a025ba5c19e6c93cb0e4f292
MD5 62b48676f8fa13731c81386c22c9fbc9
BLAKE2b-256 85c529c57f5db88a936a97e1192558293a3de80dfb434ae6d4b06ec7a8470969

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp39-pypy39_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 8c4e9612dcc78e3edb0890dbdb2558e54a588bc966b9d2592087f4c6cfa914a7
MD5 a37d4ad0e5b7a09da9bc8e1103fe60c7
BLAKE2b-256 09144d4401ee5465e50fed68cfc63da184a8640ffd89f676bd9feb6ddae64332

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 64b7e083529751a80d7b1fb62e561c6b4ba65d1eb6531ba47bedde8841f09a32
MD5 579eb13ed7a4cfbabd7ba23d833c68be
BLAKE2b-256 39ab8eaf4c8f77c24574d8c4ff6b18ea80b9a9a28c9ca073e72a422001405be1

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e01b3941699bc563d0f6da5e3c858a61c2699d09a679e5e65927bd7b701d18b8
MD5 4a5368582f6567130f4dd15ddc5b8cb7
BLAKE2b-256 37403765d9257192cce03bf7b1f87fbdf97eedd0096ad556b5a78930374bd696

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 e5b7c485b2bed50a04f0aba8eaaf4e45ec2c5d9442da8a536ac975796877fcdd
MD5 0a0fc0cb57d775b14dfb0e5d6d7fe517
BLAKE2b-256 8991be3339be125e98a2348e5627fa3c16e261ccdbe5bde8e4da6214c01088b1

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp38-pypy38_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fe517ea52c3ee77ad6102e9c02a8911402ebb45e7d8e977baf2597e74f33fe2b
MD5 6498ca87995ff0680bccd096a2f1f329
BLAKE2b-256 c91621bed9afca6060f411d91244418d138168b634458e399f5f1a3e7fde0716

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-win_amd64.whl
Algorithm Hash digest
SHA256 ca1436e85a3d9fc7e48db266b7c4509453ffe18aadac981fabe598cebcc1e999
MD5 5d5ea2813d21dcbe325ed4d92b0bea90
BLAKE2b-256 4564ca86151b6d98d899677c206546a9a96d731b228e410d856cc42f536264e7

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 57cc482997cbf1ccf40475ab9257901517ec7b2d794757b3e7344b3f4dabe470
MD5 ce6cdda0a195d531658ebb077c3b1b10
BLAKE2b-256 ec6fca4b2857b7b33d5679e4a21d9143f3d53b7964b60c21515462825555f4ff

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 987dc9d53b469582b4b212de181b63ffa067abcce5fbb938dcfbbf6355baed4d
MD5 ca6b2696ba4c4e4a4141b680a9b94087
BLAKE2b-256 d266029658b45318cf441987d57b22d49c7a4ec5b3025efc25ac845c1896a38d

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-pp37-pypy37_pp73-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ea62fd646898ea467899b7032b0851742ecc36ac8f293cc386f629a2ba0b9507
MD5 cd5a7d69f130266214899a3828941eca
BLAKE2b-256 2f53c32aa3d475493185a2c3e1e875e5650358f99ba2c2d469679910d98d866c

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 81c2531d9d94940bf0fb2372867cd671d99c2773d2fe7673c964c8abf9b15121
MD5 fa116a6fe4be6bf621f1e0011d602fdd
BLAKE2b-256 ea0d5cbc8a7490ec4d92c5fa395cd45f27862cdc1153128d51cc73fcc3a95834

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-win32.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 c32e22945e24e5c81238c052159cf10b3ecaabc88e726da2b09c95f6020c80da
MD5 6484c8f20d6c11abddaae7c45fda954c
BLAKE2b-256 be4b0defaccacba7a404e6078e8400efcb48e432f85826f0d095532da1300b1e

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 f77c094e86a741ff596e8c08990f022e20d7dd3c724371ff92ee218646c4e789
MD5 6604d32f72f9434a60fe8b1747adafa5
BLAKE2b-256 f1c4f2469bf66f88568bab95ba358ab4334e7bdb469353bb7aa773e147ce795e

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 65eebe5bdb18d99bc364b959eaa897017a3ffa43b8ab66fb62350f47acc39944
MD5 920b63a8319416339dfc9b4715c97438
BLAKE2b-256 ee15f7df5dd8e8c9ec05278359803d42c56f86457bf1e51f4d119a01961e7152

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 09cff9a40b3e725ca080be0f395246071ccf4a4eddf2e9d94211f3ad09e893e2
MD5 7c063ab9b5128de9765d54bc85cf1348
BLAKE2b-256 cd7302c4e70e55a361f12a4a28db258b55a1df18ddd6d5aa972d55d88b782df2

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 a239804e94febad9138f7517485604162b0ed8ac3ce8a80be7d8639273245f18
MD5 9b67153d5c4abf1f7ea5a5ddb88a1729
BLAKE2b-256 5e14a498b0df74ebc507b81b6fad35d7b18d7052066d3b9ced9c71104a3d3bc3

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 02b29a0d1c3b58364f3742a15ad47a43dc129266c9ef489ee79dda570d39b739
MD5 0d245d247a8b6926af50fd9a9ddbad79
BLAKE2b-256 af89923fa94afeb524184a1cd7433cda94b895de8fd25a81646a6397106ca8cb

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 befcb3d63a5bc3968da420b25d2e5edbd3bdb8d4be85910abfd15ea1f9df2798
MD5 0cea95800a7a53900bae4363dd2c239d
BLAKE2b-256 01509a59bb2582cf698a79adeed019fac0d1e0439db7016d440ce58221ed1d47

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-win32.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 2a1af4bbdc87c11fad3f5cabacbf0bf1549bd331076418187673a8d3f7429937
MD5 6d880f9978175aea0eb4eeaf65476eea
BLAKE2b-256 186e9652e13baa736408c36d427726c9990dccd4ccef65da7b3bf2662cc2de10

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 84cfa0651363ac0037cb54297e8077310f4ea52c028c018199282a857ecdb871
MD5 3b324fc1e6b94322c5e7a42a053623d7
BLAKE2b-256 fa050a831d80acfba13358f1d59d1d7cf0ffd4d8c9222ad1cc0a1269c6c24a0a

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 52608b2317e0231c930edb12d3e65d2e758b1d177e5e7dbaeaab42667f427b39
MD5 ca6bcf2f9947efa77ac05d5804de4dc3
BLAKE2b-256 2db2fc0e2764279c4311e20fd5c2578d7ae8eb24cd1f1e316b065c8a816303f5

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3aa19424a498f1b56df9e556ba8fb971651ba003edd6ebaf487ddd91154dc049
MD5 d096e76ec8777835d1087a4ee4ef61f1
BLAKE2b-256 82a2aaf325b91dbab1968f3eca0c94c0f20cff9b094be40226c92b8192da2365

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 75f5c00d1aed89820de4b31a087fe26951586d6da426314daafb91d031b3071b
MD5 0e1bbbce07cc4dc5fe1e8624eb5be934
BLAKE2b-256 f33d76b0c8215dc49c18f0a9ec742cc8aa81932dfac667e075d1d44f356adf9c

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 46738df707022b06b7bc35d9d962c1102568e1162350f2fd6363ea287ea36e75
MD5 829ec90b72fa72c79a25f12a62abaf82
BLAKE2b-256 f28bd6ac66cb5926a574434a47605416acb142a7e185139accac4366f9fc553d

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 af756e677f611d6eda5197e5a6dd59b5ec57e753cef42eae6693029f33810e19
MD5 87dd0649f227baf8b59fa8416cec8380
BLAKE2b-256 07c2ec4729579aef005e17c31bb3db867f0fec26049530be3ebb614aa656fee3

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-win32.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 c1469b6deb76607a59877b597d5e6dc28a6ff65cc2c3916b22911fba971899b1
MD5 5038120288547bf5f5b6f9efc2519990
BLAKE2b-256 86ef6bfa09b714427fe3415127ffea002c7e98821395fa648cdf0cd8605c83f3

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 02601d223d5e631926e5c6439d21ede63b9d215cfcb5ff1ad180a4eeefa7d9f0
MD5 660a9cbda585b4d3e94b2bf46982c044
BLAKE2b-256 cc216135f6c7eba10536e2988acc3d73fc2f7355034071bc1c830424437eb7d2

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 e42bb6ce6c1f7866d9f95bd16b7d17898487d883dd61584cfe1b04e58bf55356
MD5 10d28f0f32fada0e6477ee01755a3253
BLAKE2b-256 ff8529f7e99697876599040c8d2d66b4c616888d1ef751176fe08fa56d60d5fb

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 81a9d55572817aee3916714c9fb466d95e5a669bdb6546433f6fee5ff8c6fd53
MD5 196450a861641d548b4ebb1c1b053086
BLAKE2b-256 d7d8e0cd46554f251c1cf8677c9a0ae4e6c648d8607d84c829a91093307eb066

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 33c14b728bf29ecfac78e597172de7d28f1ae03101fc9d2c5eef705b5f999127
MD5 0f0c02356a3278ae9f1dbea5a6a786b0
BLAKE2b-256 83bbee03492564e5a2cb8e1b0130b7fb8ed43fb319073ad45f309405f95e3c51

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0f1b7643656cc7334329dee038dbf7241e797153067e3f25a6a6ce12a288ba39
MD5 bd54c48dff363a944d55238982890923
BLAKE2b-256 55773c2b470c67f3dd12b5e9f29054eb8d09abd598862bcf552eafff10318436

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 173b43a3d788d3b4b270987d71929011114030370acccd82f1c3e06f0d320a49
MD5 95d005d7185d5315ffd5156100ba71a1
BLAKE2b-256 434bad2faca3c1ae1d11a1cc76bbb8aa0af6cddf616ce1881e6188900f9e8ce3

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-win32.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 32168a48668c5cecca5b1087fddfe34ebb365654f277e5a3768a55def1384e7e
MD5 483abc1734d0145eff3fc1e40cd19da6
BLAKE2b-256 bbfde632280b04b585c0f7205b0f77adda0e005a7e36ac9cd1ae0c22821fe165

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 553e9effdf523ae0287751d80c879f33ce7ea9d0d5cd3f1304ec224520ad3681
MD5 18aa5e6d23f9137987ff0710f050e330
BLAKE2b-256 9cfdf56a600e17de1311c3de98a87da222ad23debc5ca58c16b8637d834417f0

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 530233d967ee66af753a24ed503cc4dda52b6bb1d3bc7bb6da57d84715bdec13
MD5 e7163ce1880cdba327ce44564fad8290
BLAKE2b-256 dc77566f2ca5a328c72acf8d6ded49854baa51ce3ed86bbf4b830be7c6aec92d

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8eac63499f0140e358c0ca49884e1827011341eb9daff062320c1c180d6fb918
MD5 020dcd5dcb8e682ef72eb913bd3550a4
BLAKE2b-256 c6d9c6746c88502ff8a3c28f2e26ca3e2fbf05c45effcc67d21ba0c7437a74f8

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 83adddc4dcabd51375a05e280aaac93bd3eadb6a23c67924420f9d2df236c39e
MD5 49466a3a533e130c9f401814df29128e
BLAKE2b-256 f785db2c3fbd7465bd25d8ed4b71d5d3b1c1f9d013059a25085d999d82ae6a01

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 83a8e9e976ec9df20f9c9f06dced48bb7cb4c7443693c6face3cc8a7875cb8d8
MD5 3226d7b6cb108d844cbccd8ad2282915
BLAKE2b-256 d908f49c156069d22d88a32d694375a1e7ee0f3c0555bb8249e1089d9e148d94

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4c433adf5826196501a24ce8871c98361c68386341db4abec766d58daab6595f
MD5 43c0064c03c9797479bd39d1308cfae7
BLAKE2b-256 45666f7f57940693254350b77a56d54ce50556f229e270d17e2838cc5d4d5640

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-win32.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 adaa69b6e286e5169412d92d55214f009f7d22e0c792e765854b8d6564c2e4a1
MD5 f5311afda73aee564d67aa331dd75cb5
BLAKE2b-256 9831abce786acd8af8915535b65fb2d009a831129ab54028304497d9762578de

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 a77ac1b8ad7c58a71c1ef14f017fd058e5d637b68db178df709c8f6f1b4e2736
MD5 775f6edf1b9568094091bd6f90e1e567
BLAKE2b-256 45dcd3c7a0cebe09b06caa94bc222ff84f8d0966bd84b2b207e0c9a64abfca26

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 8827cd63fc354cabcfc1b0ec260d97fa4b945c7d3297e8bd25db766ab79e3c30
MD5 e3e2134d122cae4928994b5fe25e243e
BLAKE2b-256 4b734fe3c92e31cca6ea509b01e704f29efe8ec21e39c44e108506ca300fcb2d

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2bedada222438aa060ec8325fd026dff52aa04d1c50ca588788d98a9933aa7a4
MD5 73a631e474e903a49f5fb40f24510856
BLAKE2b-256 cc994115192d04f6173d3b3d00af0275c0c1c6e82f75ee5e5a7e8daa50935137

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 86c5992e5e51f0252e865fcf93745ec596d089da4e56fced9f9cb68b52b61921
MD5 497f352c9bb8d3c486d120fcd7d1b597
BLAKE2b-256 1081282863d0a013681b943b1efd565f2c4795dfdd9b57b8622a68a67328587b

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 342073ba2e30bb57630641248b8ca909cb4e3e61c19ad95a6c90be174f5586e6
MD5 893a9a2e109a2beb08afae72bb18a89d
BLAKE2b-256 3e9de60521f06938daef407b48fff955b9b81538bdac9aa8ceb10bc1b7d70f4e

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 bc477db792b26476765d1c5b30b71b376f29f357311fc6fdd1000ffc73dbc356
MD5 1ccf6286154bdb6cc9c9dc81ef4096ee
BLAKE2b-256 960c4f4129ab20180af1009c9579d58888bd17e07dc53548f37905fa6591eb4a

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-win32.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 bd57a95f394eff01add9b24946bf0cd709b6d94a0fb18b2f7b33ee2d57fa0046
MD5 1bc4caa71130339c3bc9b87f1b9548eb
BLAKE2b-256 f3dfcf57e4554bff52d173700f9faf007eb6c03d1546dac350687ba58a63ade6

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 7f719ef8f8159f0cc4c517d2ca333fe416dc0192da0f4ec35e53a7f93507777c
MD5 0ee4e7b494e8054939b40d8bac0b6300
BLAKE2b-256 358e528e8799491f5bb51de944944c84a2a95d26321183eea2bdab86301acc64

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-musllinux_1_1_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-musllinux_1_1_i686.whl
Algorithm Hash digest
SHA256 257ebac9fa8bdc2b235e5c91d842988cae8233f84789408a61833dd0a1923bb5
MD5 1851bca1da87f18f82d270e03b4ffab4
BLAKE2b-256 1f60f4afe921acd9c94c008720defe4ab234ae4e6c42cc89457b7d52947b71cb

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d0a665af20983f2b455ece6f3d534ddcfc66bb53e84d1d59e37ac1529c9d2a1f
MD5 22813e6251ee289446c53691ffa16a24
BLAKE2b-256 c3b15fac5b5290e1581bcc1170080512f2055a857942ced2dd1e74e4100079ac

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3d3ecbe5ef0f1dea86dc1b4924d08ef6a17c27a26cd8241647ed1a133435d4ac
MD5 9dec1e8e15dceb468813a30bd42a45ad
BLAKE2b-256 077bfaa166511e85f047fcb4d48d90c5b6f3f11097b3f965b19f2bf8310cb430

See more details on using hashes here.

File details

Details for the file pybind11_numpy_example-0.0.10-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pybind11_numpy_example-0.0.10-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bc90034e6f1e706698c5c8f2be658489c0abac53ea01030bbeaabb0735588474
MD5 36d2912fcf3e09cc27dc8f0d04c17f70
BLAKE2b-256 0f5d820384b01f0531d09e389241a9cb76273742107cba60ca3f4fa2c628ebca

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