An example of using numpy with pybind11

These details have not been verified by PyPI

Project links

Project description

pybind11-numpy-example

What

A simple example of how to use pybind11 with numpy and publish this as a library on PyPI and conda-forge.

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 a new release including binary wheels for all platforms to PyPI.

The conda-forge package is generated from this recipe, and automatically updates when a new version is uploaded 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

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

1.0.1

Sep 9, 2024

This version

1.0.0

May 27, 2024

0.0.13

May 22, 2024

0.0.12

Apr 25, 2024

0.0.11

Jan 15, 2024

0.0.10

Jan 12, 2024

0.0.9

Jan 12, 2024

0.0.8

Jan 4, 2024

0.0.7

Sep 19, 2023

0.0.6

Aug 10, 2023

0.0.5

Mar 21, 2023

0.0.4

Aug 22, 2022

0.0.3

Aug 24, 2021

0.0.2

Jun 29, 2021

0.0.1

Jun 29, 2021

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-1.0.0.tar.gz (87.2 kB view details)

Uploaded May 27, 2024 Source

Built Distributions

pybind11_numpy_example-1.0.0-pp310-pypy310_pp73-win_amd64.whl (59.2 kB view details)

Uploaded May 27, 2024 PyPy Windows x86-64

pybind11_numpy_example-1.0.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.7 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (84.0 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl (48.5 kB view details)

Uploaded May 27, 2024 PyPy macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl (51.8 kB view details)

Uploaded May 27, 2024 PyPy macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-pp39-pypy39_pp73-win_amd64.whl (59.3 kB view details)

Uploaded May 27, 2024 PyPy Windows x86-64

pybind11_numpy_example-1.0.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.7 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (83.8 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl (48.5 kB view details)

Uploaded May 27, 2024 PyPy macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl (51.8 kB view details)

Uploaded May 27, 2024 PyPy macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-pp38-pypy38_pp73-win_amd64.whl (59.1 kB view details)

Uploaded May 27, 2024 PyPy Windows x86-64

pybind11_numpy_example-1.0.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.6 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (83.9 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl (48.4 kB view details)

Uploaded May 27, 2024 PyPy macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl (51.8 kB view details)

Uploaded May 27, 2024 PyPy macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-pp37-pypy37_pp73-win_amd64.whl (59.0 kB view details)

Uploaded May 27, 2024 PyPy Windows x86-64

pybind11_numpy_example-1.0.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.1 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl (83.4 kB view details)

Uploaded May 27, 2024 PyPy manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl (51.3 kB view details)

Uploaded May 27, 2024 PyPy macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-cp312-cp312-win_amd64.whl (60.3 kB view details)

Uploaded May 27, 2024 CPython 3.12 Windows x86-64

pybind11_numpy_example-1.0.0-cp312-cp312-win32.whl (52.4 kB view details)

Uploaded May 27, 2024 CPython 3.12 Windows x86

pybind11_numpy_example-1.0.0-cp312-cp312-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.12 musllinux: musl 1.2+ x86-64

pybind11_numpy_example-1.0.0-cp312-cp312-musllinux_1_2_i686.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.12 musllinux: musl 1.2+ i686

pybind11_numpy_example-1.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.7 kB view details)

Uploaded May 27, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (85.6 kB view details)

Uploaded May 27, 2024 CPython 3.12 manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-cp312-cp312-macosx_11_0_arm64.whl (48.8 kB view details)

Uploaded May 27, 2024 CPython 3.12 macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-cp312-cp312-macosx_10_9_x86_64.whl (52.1 kB view details)

Uploaded May 27, 2024 CPython 3.12 macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-cp311-cp311-win_amd64.whl (60.1 kB view details)

Uploaded May 27, 2024 CPython 3.11 Windows x86-64

pybind11_numpy_example-1.0.0-cp311-cp311-win32.whl (52.2 kB view details)

Uploaded May 27, 2024 CPython 3.11 Windows x86

pybind11_numpy_example-1.0.0-cp311-cp311-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.11 musllinux: musl 1.2+ x86-64

pybind11_numpy_example-1.0.0-cp311-cp311-musllinux_1_2_i686.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.11 musllinux: musl 1.2+ i686

pybind11_numpy_example-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (80.3 kB view details)

Uploaded May 27, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (85.9 kB view details)

Uploaded May 27, 2024 CPython 3.11 manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-cp311-cp311-macosx_11_0_arm64.whl (49.4 kB view details)

Uploaded May 27, 2024 CPython 3.11 macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-cp311-cp311-macosx_10_9_x86_64.whl (52.8 kB view details)

Uploaded May 27, 2024 CPython 3.11 macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-cp310-cp310-win_amd64.whl (59.1 kB view details)

Uploaded May 27, 2024 CPython 3.10 Windows x86-64

pybind11_numpy_example-1.0.0-cp310-cp310-win32.whl (51.1 kB view details)

Uploaded May 27, 2024 CPython 3.10 Windows x86

pybind11_numpy_example-1.0.0-cp310-cp310-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.10 musllinux: musl 1.2+ x86-64

pybind11_numpy_example-1.0.0-cp310-cp310-musllinux_1_2_i686.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.10 musllinux: musl 1.2+ i686

pybind11_numpy_example-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.5 kB view details)

Uploaded May 27, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (84.4 kB view details)

Uploaded May 27, 2024 CPython 3.10 manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-cp310-cp310-macosx_11_0_arm64.whl (48.3 kB view details)

Uploaded May 27, 2024 CPython 3.10 macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-cp310-cp310-macosx_10_9_x86_64.whl (51.5 kB view details)

Uploaded May 27, 2024 CPython 3.10 macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-cp39-cp39-win_amd64.whl (58.9 kB view details)

Uploaded May 27, 2024 CPython 3.9 Windows x86-64

pybind11_numpy_example-1.0.0-cp39-cp39-win32.whl (51.2 kB view details)

Uploaded May 27, 2024 CPython 3.9 Windows x86

pybind11_numpy_example-1.0.0-cp39-cp39-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.9 musllinux: musl 1.2+ x86-64

pybind11_numpy_example-1.0.0-cp39-cp39-musllinux_1_2_i686.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.9 musllinux: musl 1.2+ i686

pybind11_numpy_example-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.6 kB view details)

Uploaded May 27, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (84.5 kB view details)

Uploaded May 27, 2024 CPython 3.9 manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-cp39-cp39-macosx_11_0_arm64.whl (48.3 kB view details)

Uploaded May 27, 2024 CPython 3.9 macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (51.5 kB view details)

Uploaded May 27, 2024 CPython 3.9 macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-cp38-cp38-win_amd64.whl (59.2 kB view details)

Uploaded May 27, 2024 CPython 3.8 Windows x86-64

pybind11_numpy_example-1.0.0-cp38-cp38-win32.whl (51.1 kB view details)

Uploaded May 27, 2024 CPython 3.8 Windows x86

pybind11_numpy_example-1.0.0-cp38-cp38-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.8 musllinux: musl 1.2+ x86-64

pybind11_numpy_example-1.0.0-cp38-cp38-musllinux_1_2_i686.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.8 musllinux: musl 1.2+ i686

pybind11_numpy_example-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (78.5 kB view details)

Uploaded May 27, 2024 CPython 3.8 manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl (84.2 kB view details)

Uploaded May 27, 2024 CPython 3.8 manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-cp38-cp38-macosx_11_0_arm64.whl (48.1 kB view details)

Uploaded May 27, 2024 CPython 3.8 macOS 11.0+ ARM64

pybind11_numpy_example-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (51.3 kB view details)

Uploaded May 27, 2024 CPython 3.8 macOS 10.9+ x86-64

pybind11_numpy_example-1.0.0-cp37-cp37m-win_amd64.whl (59.8 kB view details)

Uploaded May 27, 2024 CPython 3.7m Windows x86-64

pybind11_numpy_example-1.0.0-cp37-cp37m-win32.whl (51.9 kB view details)

Uploaded May 27, 2024 CPython 3.7m Windows x86

pybind11_numpy_example-1.0.0-cp37-cp37m-musllinux_1_2_x86_64.whl (1.1 MB view details)

Uploaded May 27, 2024 CPython 3.7m musllinux: musl 1.2+ x86-64

pybind11_numpy_example-1.0.0-cp37-cp37m-musllinux_1_2_i686.whl (1.2 MB view details)

Uploaded May 27, 2024 CPython 3.7m musllinux: musl 1.2+ i686

pybind11_numpy_example-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (79.6 kB view details)

Uploaded May 27, 2024 CPython 3.7m manylinux: glibc 2.17+ x86-64

pybind11_numpy_example-1.0.0-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl (86.2 kB view details)

Uploaded May 27, 2024 CPython 3.7m manylinux: glibc 2.17+ i686

pybind11_numpy_example-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (51.5 kB view details)

Uploaded May 27, 2024 CPython 3.7m macOS 10.9+ x86-64

File details

Details for the file pybind11_numpy_example-1.0.0.tar.gz.

File metadata

Download URL: pybind11_numpy_example-1.0.0.tar.gz
Upload date: May 27, 2024
Size: 87.2 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.0.0 CPython/3.12.3

File hashes

Hashes for pybind11_numpy_example-1.0.0.tar.gz
Algorithm	Hash digest
SHA256	`8a18a4dcbdebee2111b3ab45f38fb4ed80757a76f6d796487738518c001a91bb`
MD5	`0da683ea0345edbe5e6baa82b2b5367f`
BLAKE2b-256	`a3b13b2aa0cbb4fce41dbc5e40610bc7fc35127370c035b83bb8b0268596025a`

Algorithm	Hash digest
SHA256	`d1a464374908e6f6248efb1a5a9831e9b48e27327453f9fb0aadf80fb0ff7b1f`
MD5	`b52dcc7e8e18f88ac313138fc60a57d6`
BLAKE2b-256	`9d78e1ab75dcddc0178537064c1bce95c7049b8d765564f202c5329677930023`

Algorithm	Hash digest
SHA256	`e3445ea053adea76bc5872c31b6c93b63185d55c7abea7d53d3e0a996139b981`
MD5	`3df996a3fd9850b6eeef16b367c9bb63`
BLAKE2b-256	`58963c8ed426bddab05fabb497507cc6d90bd74c5f9c75da240684fc7fbb428e`

Algorithm	Hash digest
SHA256	`61f1d7bad931606b77270b9ae5244f97166d8a1a791d5e0717588ccd9dd2d5b6`
MD5	`6b1dd72b364cd228b126df070c930401`
BLAKE2b-256	`c917720625e9493ad68b4e133458f8f496ae8a25afb9a550e57eb39532433c5d`

Algorithm	Hash digest
SHA256	`3a975633925513dc705a56a948d9e270d2171048ed275e555fc1087b3a3f4ef5`
MD5	`057786d47385b3857514c894d412565e`
BLAKE2b-256	`da5380d438ec498355e3dd68103393ee1833c0542712396f9518ca909b196f28`

Algorithm	Hash digest
SHA256	`3fde7bd275610056ff91aa8050ec6717528af181878bd0961d847c87a8903beb`
MD5	`b6231b43c43cd0ecccd523c25a488afa`
BLAKE2b-256	`99c299b52496e9b6a7baccb13c7a2979e0d260a301d9ef7cec443bf10c3ba522`

Algorithm	Hash digest
SHA256	`15e58eacffa45c7ba63505a43a5e10d944d88f367844932763f7deee99b22318`
MD5	`83e01ad313583790c173b49948dd6156`
BLAKE2b-256	`d6a8275f072aef66dd0d996bca18108e7d0a8cfa51a771e6bc7b50e7ceb16bba`

Algorithm	Hash digest
SHA256	`17c804bcfe7b4252ef724f26d8d5aee6f28aa80a3e039f7c27a9b2308b643787`
MD5	`9af2f19bc1a6f19089a6edd39e22c335`
BLAKE2b-256	`a3e51407a1b920f4dd5ec37dd8737df95fba457e2e46cdeacd9ba1fceb4672aa`

Algorithm	Hash digest
SHA256	`8ac3d0280ed59b9b2b759675060c59bf745bc82071b03add466450152e8b29ef`
MD5	`521c74c54222e59042c2e7e72607e8b8`
BLAKE2b-256	`96fbf49e5e12e25f77561e94f38e9785180adbef228d7cb9eb32d75fc978777d`

Algorithm	Hash digest
SHA256	`014c2fc4b32847bfe09940d4b2c0b7fa8c2a8547fe60c81cd788bda2fe46e120`
MD5	`d5769e0cada17c6b6d574f6a1d4eba2e`
BLAKE2b-256	`4a3c431d385eeaf1347a98c5dac99ee6981e48a2d4f2cf82a1c9ab8d034b98c6`

Algorithm	Hash digest
SHA256	`ade3e2bfdb11c82c9151e4945f9b13b988a1970076ea4a322860195b20a84e97`
MD5	`abf865f1bbf402d95a44110f5051c868`
BLAKE2b-256	`69bd52666cfd5fcd7ac4c64a4c67c029d97383796141174e8ec53e6341865a1f`

Algorithm	Hash digest
SHA256	`91505d081086a3d99aa659b4c6526aabfe80b252ade3f6843137320aa107c79e`
MD5	`b77c552ba9d026e4e626f7dc247e7fdb`
BLAKE2b-256	`55ef33e81293c52d9201b999a2cc36b97c60a7932faacd623a156c8a130e939c`

Algorithm	Hash digest
SHA256	`136a7fc18a4ddb69269ea141fbd0c7543ffdde342e589d754edf515b0a999dea`
MD5	`bb4e60445f2d7d29cfed54e6f56fa543`
BLAKE2b-256	`96f5d7b13c6e1e3882830e9b007a948878e7d405b6094abf4242cce0d08768f6`

Algorithm	Hash digest
SHA256	`e00f28908be5e53c8b3ca24fb3acfd9cf0f2f83de77d6a424d652d8ae799b068`
MD5	`553f784cb2d4bdea920697cac909e889`
BLAKE2b-256	`7458ab1621babf092741da5bbb00457f2e8e84b8987290923f9530cb89feeb9f`

Algorithm	Hash digest
SHA256	`5ee462d5865f93c1171ec7d4a0b6db6e714138a6a43e1b96eacbea16fb77d06b`
MD5	`f8ec5295ae7822569f5eed2f7a037202`
BLAKE2b-256	`2218e1f4c0da906badd4536e9252e194e4f1967f4f82bae71af0a0d8fc0e25d5`

Algorithm	Hash digest
SHA256	`be7cfad9de532b5e5b7f636d2a1e44ceccd83bbbf0ec60a53ab2a0e91203b36c`
MD5	`b88869b17fa7f7b800ac49385898eb76`
BLAKE2b-256	`396c768716f0b2f7732503fdeb81259186abfd926971be5cdbfeaf0284076cd8`

Algorithm	Hash digest
SHA256	`aee26fcafc9f7c51fbc5860935067e335ebe94b40745306a33ca300d060dfef8`
MD5	`4303a673e87a2c7159147763c0fc43e5`
BLAKE2b-256	`ed680ffd531ac4be1c27d2cff8798bd9c43c2e25064e1e1e2acc1b1414d93b0a`

Algorithm	Hash digest
SHA256	`aa9c77883480a37f6eb36a5c370ec6d71c8ec0508070c435e8710f1c8f78daf9`
MD5	`c98ecd6dc3cab701e30fb4e1f6147e40`
BLAKE2b-256	`4f96b8c25e77b3d76778ab05e572aea719aa04da219c4730e219923dceb61b6d`

Algorithm	Hash digest
SHA256	`5d5e167eb65d14dca684e6360356f0ca0de054a93bc7c0527f73b05e037b79c7`
MD5	`78f9a2db19e0ee8d2c8f1e0e20044bf4`
BLAKE2b-256	`ef650ec7c0fe8189fffc5dd9342f5b02091a491dd2c84eb21a55728ec85dbd0c`

Algorithm	Hash digest
SHA256	`d298ac6b58360f2d1d95113731bec68002db9c9d3a6f7c1eb63c1450026561a3`
MD5	`295f607b3905991f8c5af6365374121a`
BLAKE2b-256	`8411486b0f816ac86aef9953cf94a004ede769001f3f735efbcaa43c7cd0e65c`

Algorithm	Hash digest
SHA256	`678a1b3c01090a1712fff3e2ae0ea72425495b52c901952c6a82d7b66fc5260c`
MD5	`c340796eaaf44e78fcad7b5e2a601d06`
BLAKE2b-256	`37a7dc6737257b7326c3157da8560db9f99c2717ea4a2d0eeb6731d9b832ceea`

pybind11-numpy-example 1.0.0

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

pybind11-numpy-example

What

Why

How

Project details

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Algorithm	Hash digest
SHA256	`13de5de4ea85d7bd5222965aadb0e7f5f7cce5d758f6d94a5a4f66144c5364dd`
MD5	`cae99e22743f6119d8463c5482978872`
BLAKE2b-256	`3473ec56008e248b2638f3fa3bc75845d426ceade16b88927f9e28157b53ddff`

Algorithm	Hash digest
SHA256	`af1ab21c8ede73626c318fc5b06c7fd10ea55841f11ba02c88d446004719d45d`
MD5	`8f6db474e07d01f454e5e4742fd094ec`
BLAKE2b-256	`d451fc7e764bfb81e55d85e6dec9a6b4714629c849917bef86541724a7e75920`

Algorithm	Hash digest
SHA256	`f6d3fb48c64aaa8ffb11ad1910ec20daa4f3ac991183af61d1363d814d49df40`
MD5	`a2fdf1667c20e3d06375a98a37f04a46`
BLAKE2b-256	`6f1ec9fdb2c98786d343ea02ca44e3607a538384e7494f4998efd9d667f715e1`

Algorithm	Hash digest
SHA256	`16d99af13460d33e5ddf5d974ad3d94c856164e54082833daf38b93909085e8b`
MD5	`45080bc06c8899b474314e35aeb99c39`
BLAKE2b-256	`b6cd5e23157345abd443a28e2bc14c8d56334cbb091c4973a1ab62f3782ede14`

Algorithm	Hash digest
SHA256	`ca0ba6b3fc441529d8ab42902870debecb4ee9dc1fae4eeed727fc0b5c05078e`
MD5	`26b44bd64fd42b171c0fe73889ee8eca`
BLAKE2b-256	`7093b6f45dd1c1c2903b5156bef9f4c9880d309be1270edae40b554f6a343c44`

Algorithm	Hash digest
SHA256	`1e7a6023bfdee7c2b8c0ee1e0160ef4d051e9ecc619e21f4e3b960f7b740ccf1`
MD5	`c9708271eec008e6ec9c0a58150f28c2`
BLAKE2b-256	`c792f3536d7230c1a17147515b376bf6e25c31eb0f6c2b68cb889648e67dbf95`

Algorithm	Hash digest
SHA256	`76b40dc8cb61765472604b3428550c5fd3f9b7331d58dbe8ca5d2bd554cb5688`
MD5	`09823c2ba7d25df3ea1c618272d4b6a9`
BLAKE2b-256	`fdc3af3561fb4a493258691fe3a266c23dec8f8286339fdab5bdd8de28d1104f`

Algorithm	Hash digest
SHA256	`6848285b1231f7e645565e2ccb481393db290133acbf3a429a3e8f7fad339448`
MD5	`c3d802de74529d36be6eb078333d1b53`
BLAKE2b-256	`ed2d38cbab8506a5bf7ae0ddb7f49ebdddba65b3d29471a12584c1a6565e9447`

Algorithm	Hash digest
SHA256	`e8352c3c8a45f510fbd8bad6cede34156de0fdd7aab2ff67fe2bcb3925f2277a`
MD5	`719b5df8c86f69bf9871aa65c7ebbf89`
BLAKE2b-256	`d94290e6554f8e13ad122cbe0267975e062c493f44c5ec4102d41a8f39952aba`

Algorithm	Hash digest
SHA256	`4c80bdc90562e5c80a0d9849ba475c4c6b1003eff5cb2212902de9a42a595f83`
MD5	`6804fc60e64f15def2763a9fd5b7807a`
BLAKE2b-256	`b874e4f55127e3530ad38fb8a017a87ed41a5b1e81563a296d1b28b2c79e4228`