contourpy 1.3.1

pip install contourpy

Latest version

Released: Nov 12, 2024

Python library for calculating contours of 2D quadrilateral grids

Navigation

Project description
Release history
Download files

Verified details

These details have been verified by PyPI

Maintainers

ianthomas23

Thomas.Caswell

Unverified details

These details have not been verified by PyPI

Project links

Changelog
Documentation
Homepage
Repository

Classifiers

Development Status
- 5 - Production/Stable
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: BSD License
Programming Language
Topic

Project description
Project details
Release history
Download files

Project description

ContourPy is a Python library for calculating contours of 2D quadrilateral grids. It is written in C++11 and wrapped using pybind11.

It contains the 2005 and 2014 algorithms used in Matplotlib as well as a newer algorithm that includes more features and is available in both serial and multithreaded versions. It provides an easy way for Python libraries to use contouring algorithms without having to include Matplotlib as a dependency.

Documentation: https://contourpy.readthedocs.io
Source code: https://github.com/contourpy/contourpy


Latest release
Downloads
Python version
Coverage

Project details

Verified details

These details have been verified by PyPI

Maintainers

ianthomas23

Thomas.Caswell

Unverified details

These details have not been verified by PyPI

Project links

Changelog
Documentation
Homepage
Repository

Classifiers

Development Status
- 5 - Production/Stable
Intended Audience
- Developers
- Science/Research
License
- OSI Approved :: BSD License
Programming Language
Topic

Release history Release notifications | RSS feed

This version

1.3.1

Nov 12, 2024

1.3.0

Aug 27, 2024

1.2.1

Apr 2, 2024

1.2.1rc1 pre-release

Mar 28, 2024

1.2.0

Nov 3, 2023

1.1.1

Sep 16, 2023

1.1.1rc1 pre-release

Sep 9, 2023

1.1.0

Jun 13, 2023

1.0.7

Jan 13, 2023

1.0.6

Oct 30, 2022

1.0.5

Sep 2, 2022

1.0.4

Jul 31, 2022

1.0.3

Jun 13, 2022

1.0.2

Apr 8, 2022

1.0.1

Mar 3, 2022

1.0.0

Feb 19, 2022

0.0.5

Feb 13, 2022

0.0.4

Nov 7, 2021

0.0.3

Oct 1, 2021

0.0.2

Sep 30, 2021

0.0.1

Sep 20, 2021

Download files

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

Source Distribution

contourpy-1.3.1.tar.gz (13.5 MB view details)

Uploaded Nov 12, 2024 Source

Built Distributions

contourpy-1.3.1-pp310-pypy310_pp73-win_amd64.whl (218.2 kB view details)

Uploaded Nov 12, 2024 PyPy Windows x86-64

contourpy-1.3.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (315.0 kB view details)

Uploaded Nov 12, 2024 PyPy manylinux: glibc 2.17+ x86-64

contourpy-1.3.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl (265.6 kB view details)

Uploaded Nov 12, 2024 PyPy macOS 10.15+ x86-64

contourpy-1.3.1-cp313-cp313t-win_amd64.whl (236.7 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t Windows x86-64

contourpy-1.3.1-cp313-cp313t-win32.whl (185.1 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t Windows x86

contourpy-1.3.1-cp313-cp313t-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.13t musllinux: musl 1.2+ x86-64

contourpy-1.3.1-cp313-cp313t-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.13t musllinux: musl 1.2+ ARM64

contourpy-1.3.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (327.3 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t manylinux: glibc 2.17+ x86-64

contourpy-1.3.1-cp313-cp313t-manylinux_2_17_s390x.manylinux2014_s390x.whl (321.1 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t manylinux: glibc 2.17+ s390x

contourpy-1.3.1-cp313-cp313t-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (349.8 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t manylinux: glibc 2.17+ ppc64le

contourpy-1.3.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (310.4 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t manylinux: glibc 2.17+ ARM64

contourpy-1.3.1-cp313-cp313t-macosx_11_0_arm64.whl (268.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t macOS 11.0+ ARM64

contourpy-1.3.1-cp313-cp313t-macosx_10_13_x86_64.whl (285.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.13t macOS 10.13+ x86-64

contourpy-1.3.1-cp313-cp313-win_amd64.whl (221.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 Windows x86-64

contourpy-1.3.1-cp313-cp313-win32.whl (175.3 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 Windows x86

contourpy-1.3.1-cp313-cp313-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.13 musllinux: musl 1.2+ x86-64

contourpy-1.3.1-cp313-cp313-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.13 musllinux: musl 1.2+ ARM64

contourpy-1.3.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (322.7 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 manylinux: glibc 2.17+ x86-64

contourpy-1.3.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl (318.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 manylinux: glibc 2.17+ s390x

contourpy-1.3.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (345.9 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 manylinux: glibc 2.17+ ppc64le

contourpy-1.3.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (306.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 manylinux: glibc 2.17+ ARM64

contourpy-1.3.1-cp313-cp313-macosx_11_0_arm64.whl (255.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 macOS 11.0+ ARM64

contourpy-1.3.1-cp313-cp313-macosx_10_13_x86_64.whl (271.5 kB view details)

Uploaded Nov 12, 2024 CPython 3.13 macOS 10.13+ x86-64

contourpy-1.3.1-cp312-cp312-win_amd64.whl (221.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 Windows x86-64

contourpy-1.3.1-cp312-cp312-win32.whl (175.4 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 Windows x86

contourpy-1.3.1-cp312-cp312-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.12 musllinux: musl 1.2+ x86-64

contourpy-1.3.1-cp312-cp312-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.12 musllinux: musl 1.2+ ARM64

contourpy-1.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (323.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

contourpy-1.3.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl (318.9 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 manylinux: glibc 2.17+ s390x

contourpy-1.3.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (347.3 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 manylinux: glibc 2.17+ ppc64le

contourpy-1.3.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (307.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 manylinux: glibc 2.17+ ARM64

contourpy-1.3.1-cp312-cp312-macosx_11_0_arm64.whl (255.4 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 macOS 11.0+ ARM64

contourpy-1.3.1-cp312-cp312-macosx_10_13_x86_64.whl (271.5 kB view details)

Uploaded Nov 12, 2024 CPython 3.12 macOS 10.13+ x86-64

contourpy-1.3.1-cp311-cp311-win_amd64.whl (219.8 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 Windows x86-64

contourpy-1.3.1-cp311-cp311-win32.whl (174.4 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 Windows x86

contourpy-1.3.1-cp311-cp311-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.11 musllinux: musl 1.2+ x86-64

contourpy-1.3.1-cp311-cp311-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.11 musllinux: musl 1.2+ ARM64

contourpy-1.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (326.2 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

contourpy-1.3.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl (323.7 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 manylinux: glibc 2.17+ s390x

contourpy-1.3.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (352.9 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 manylinux: glibc 2.17+ ppc64le

contourpy-1.3.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (313.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 manylinux: glibc 2.17+ ARM64

contourpy-1.3.1-cp311-cp311-macosx_11_0_arm64.whl (254.5 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 macOS 11.0+ ARM64

contourpy-1.3.1-cp311-cp311-macosx_10_9_x86_64.whl (269.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.11 macOS 10.9+ x86-64

contourpy-1.3.1-cp310-cp310-win_amd64.whl (218.6 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 Windows x86-64

contourpy-1.3.1-cp310-cp310-win32.whl (173.9 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 Windows x86

contourpy-1.3.1-cp310-cp310-musllinux_1_2_x86_64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.10 musllinux: musl 1.2+ x86-64

contourpy-1.3.1-cp310-cp310-musllinux_1_2_aarch64.whl (1.3 MB view details)

Uploaded Nov 12, 2024 CPython 3.10 musllinux: musl 1.2+ ARM64

contourpy-1.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (325.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

contourpy-1.3.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl (320.8 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 manylinux: glibc 2.17+ s390x

contourpy-1.3.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl (351.9 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 manylinux: glibc 2.17+ ppc64le

contourpy-1.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (312.0 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 manylinux: glibc 2.17+ ARM64

contourpy-1.3.1-cp310-cp310-macosx_11_0_arm64.whl (253.3 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 macOS 11.0+ ARM64

contourpy-1.3.1-cp310-cp310-macosx_10_9_x86_64.whl (268.5 kB view details)

Uploaded Nov 12, 2024 CPython 3.10 macOS 10.9+ x86-64

File details

Details for the file contourpy-1.3.1.tar.gz.

File metadata

Download URL: contourpy-1.3.1.tar.gz
Upload date: Nov 12, 2024
Size: 13.5 MB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.12.3

File hashes

Hashes for contourpy-1.3.1.tar.gz
Algorithm	Hash digest
SHA256	`dfd97abd83335045a913e3bcc4a09c0ceadbe66580cf573fe961f4a825efa699`
MD5	`06a4ae6ab30b855514797cac7073ed08`
BLAKE2b-256	`25c2fc7193cc5383637ff390a712e88e4ded0452c9fbcf84abe3de5ea3df1866`

Algorithm	Hash digest
SHA256	`44a29502ca9c7b5ba389e620d44f2fbe792b1fb5734e8b931ad307071ec58c53`
MD5	`e89180f7c271718094f9a2ab865ae2a0`
BLAKE2b-256	`529486bfae441707205634d80392e873295652fc313dfd93c233c52c4dc07874`

Algorithm	Hash digest
SHA256	`cb76c1a154b83991a3cbbf0dfeb26ec2833ad56f95540b442c73950af2013750`
MD5	`a33a30a4d8aa54351b9805923eba2a57`
BLAKE2b-256	`b02e52bfeeaa4541889f23d8eadc6386b442ee2470bd3cff9baa67deb2dd5c57`

Algorithm	Hash digest
SHA256	`b457d6430833cee8e4b8e9b6f07aa1c161e5e0d52e118dc102c8f9bd7dd060d6`
MD5	`79401c1ef8dd972a77432d5bf3e32ef2`
BLAKE2b-256	`3e4fe56862e64b52b55b5ddcff4090085521fc228ceb09a88390a2b103dccd1b`

Algorithm	Hash digest
SHA256	`287ccc248c9e0d0566934e7d606201abd74761b5703d804ff3df8935f523d546`
MD5	`bf34288ac0e4f686a96dc258621c75cd`
BLAKE2b-256	`c1311ae946f11dfbd229222e6d6ad8e7bd1891d3d48bde5fbf7a0beb9491f8e3`

Algorithm	Hash digest
SHA256	`8eb96e79b9f3dcadbad2a3891672f81cdcab7f95b27f28f1c67d75f045b6b4f1`
MD5	`6b754b12d742fdf252b600676e60297d`
BLAKE2b-256	`b30ec8e4950c77dcfc897c71d61e56690a0a9df39543d2164040301b5df8e67b`

Algorithm	Hash digest
SHA256	`89785bb2a1980c1bd87f0cb1517a71cde374776a5f150936b82580ae6ead44a1`
MD5	`3862b7283bc85e5cba82646c12bc62bf`
BLAKE2b-256	`f0ed92d86f183a8615f13f6b9cbfc5d4298a509d6ce433432e21da838b4b63f4`

Algorithm	Hash digest
SHA256	`4d76d5993a34ef3df5181ba3c92fabb93f1eaa5729504fb03423fcd9f3177242`
MD5	`99ea74884f3525668aa304e0bb93f738`
BLAKE2b-256	`ef747030b67c4e941fe1e5424a3d988080e83568030ce0355f7c9fc556455b01`

Algorithm	Hash digest
SHA256	`05e806338bfeaa006acbdeba0ad681a10be63b26e1b17317bfac3c5d98f36cda`
MD5	`027cefdfb4495fff358e495b8c32245a`
BLAKE2b-256	`1769390dc9b20dd4bb20585651d7316cc3054b7d4a7b4f8b710b2b698e08968d`

Algorithm	Hash digest
SHA256	`14c102b0eab282427b662cb590f2e9340a9d91a1c297f48729431f2dcd16e14f`
MD5	`4ff696e42b3cccf78393d7b7f7acbefc`
BLAKE2b-256	`313cfaee6a40d66d7f2a87f7102236bf4780c57990dd7f98e5ff29881b1b1344`

Algorithm	Hash digest
SHA256	`4318af1c925fb9a4fb190559ef3eec206845f63e80fb603d47f2d6d67683901c`
MD5	`c101fb0833292aaebf07c902437474cd`
BLAKE2b-256	`b034910dc706ed70153b60392b5305c708c9810d425bde12499c9184a1100888`

Algorithm	Hash digest
SHA256	`841ad858cff65c2c04bf93875e384ccb82b654574a6d7f30453a04f04af71342`
MD5	`5145bd6f81d05d2a7b8789b581530449`
BLAKE2b-256	`791e4aef9470d13fd029087388fae750dccb49a50c012a6c8d1d634295caa644`

Algorithm	Hash digest
SHA256	`19c1555a6801c2f084c7ddc1c6e11f02eb6a6016ca1318dd5452ba3f613a1751`
MD5	`08cf37dab4ef73382204d0fb3f13a7f0`
BLAKE2b-256	`481dfb49a401b5ca4f06ccf467cd6c4f1fd65767e63c21322b29b04ec40b40b9`

Algorithm	Hash digest
SHA256	`9ddeb796389dadcd884c7eb07bd14ef12408aaae358f0e2ae24114d797eede30`
MD5	`0eb3b9d8c4862b198c624e995a1fc2f3`
BLAKE2b-256	`2f24a4b285d6adaaf9746e4700932f579f1a7b6f9681109f694cfa233ae75c4e`

Algorithm	Hash digest
SHA256	`a7895f46d47671fa7ceec40f31fae721da51ad34bdca0bee83e38870b1f47ffd`
MD5	`7354b53e16bb3df27b81b669714e1b2b`
BLAKE2b-256	`e3d528bca491f65312b438fbf076589dcde7f6f966b196d900777f5811b9c4e2`

Algorithm	Hash digest
SHA256	`36987a15e8ace5f58d4d5da9dca82d498c2bbb28dff6e5d04fbfcc35a9cb3a82`
MD5	`ade6396901364cd368e3191b0b62f1f8`
BLAKE2b-256	`72228282f4eae20c73c89bee7a82a19c4e27af9b57bb602ecaa00713d5bdb54d`

Algorithm	Hash digest
SHA256	`041b640d4ec01922083645a94bb3b2e777e6b626788f4095cf21abbe266413c1`
MD5	`f6d4cdcb11890dd62063a2a8e761a776`
BLAKE2b-256	`3f6dce84e79cdd128542ebeb268f84abb4b093af78e7f8ec504676673d2675bc`

Algorithm	Hash digest
SHA256	`5b75aa69cb4d6f137b36f7eb2ace9280cfb60c55dc5f61c731fdf6f037f958a3`
MD5	`d3302d91bd78bac876696d994437bc9b`
BLAKE2b-256	`6b77f37812ef700f1f185d348394debf33f22d531e714cf6a35d13d68a7003c7`

Algorithm	Hash digest
SHA256	`3ea9924d28fc5586bf0b42d15f590b10c224117e74409dd7a0be3b62b74a501c`
MD5	`5b927a87bcae775f467189729dd81b2e`
BLAKE2b-256	`9ae230ca086c692691129849198659bf0556d72a757fe2769eb9620a27169296`

Algorithm	Hash digest
SHA256	`a9fa36448e6a3a1a9a2ba23c02012c43ed88905ec80163f2ffe2421c7192a5d7`
MD5	`58598fee5166850a0ded3ed5cba72d00`
BLAKE2b-256	`29635b52f4a15e80c66c8078a641a3bfacd6e07106835682454647aca1afc852`

Algorithm	Hash digest
SHA256	`573abb30e0e05bf31ed067d2f82500ecfdaec15627a59d63ea2d95714790f5c2`
MD5	`8da517a03ba2df4b20d41d5ed62c28f7`
BLAKE2b-256	`295cc83ce09375428298acd4e6582aeb68b1e0d1447f877fa993d9bf6cd3b0a0`

contourpy 1.3.1

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

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

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

File details

File metadata

File hashes

Algorithm	Hash digest
SHA256	`ece6df05e2c41bd46776fbc712e0996f7c94e0d0543af1656956d150c4ca7c81`
MD5	`5a896a88e83b1491305a9ed50c18999d`
BLAKE2b-256	`ab8a915380ee96a5638bda80cd061ccb8e666bfdccea38d5741cb69e6dbd61fc`

Algorithm	Hash digest
SHA256	`523a8ee12edfa36f6d2a49407f705a6ef4c5098de4f498619787e272de93f2d5`
MD5	`116efe1395b4f7578f6f6f0447b6c0ed`
BLAKE2b-256	`784dc2a09ae014ae984c6bdd29c11e74d3121b25eaa117eca0bb76340efd7e1c`

Algorithm	Hash digest
SHA256	`a761d9ccfc5e2ecd1bf05534eda382aa14c3e4f9205ba5b1684ecfe400716ef2`
MD5	`d6a3e95ff69288f3218440c3cf5e97c2`
BLAKE2b-256	`9ae7de62050dce687c5e96f946a93546910bc67e483fe05324439e329ff36105`

Algorithm	Hash digest
SHA256	`08d9d449a61cf53033612cb368f3a1b26cd7835d9b8cd326647efe43bca7568d`
MD5	`88072023b08906e112e86a0cd99870f9`
BLAKE2b-256	`a135c2de8823211d07e8a79ab018ef03960716c5dff6f4d5bff5af87fd682992`

Algorithm	Hash digest
SHA256	`e914a8cb05ce5c809dd0fe350cfbb4e881bde5e2a38dc04e3afe1b3e58bd158e`
MD5	`b194743e14389d43c2d0d69afba1e1e3`
BLAKE2b-256	`1a357e267ae7c13aaf12322ccc493531f1e7f2eb8fba2927b9d7a05ff615df7a`

Algorithm	Hash digest
SHA256	`61332c87493b00091423e747ea78200659dc09bdf7fd69edd5e98cef5d3e9a8d`
MD5	`808125bb33498d79985f3629bdc340e4`
BLAKE2b-256	`3a8adeb5e11dc7d9cc8f0f9c8b29d4f062203f3af230ba83c30a6b161a6effc9`

Algorithm	Hash digest
SHA256	`1bf98051f1045b15c87868dbaea84f92408337d4f81d0e449ee41920ea121d3b`
MD5	`633d82f1f4e975e99d197d92cd059ed7`
BLAKE2b-256	`3c0f37d2c84a900cd8eb54e105f4fa9aebd275e14e266736778bb5dccbf3bbbb`

Algorithm	Hash digest
SHA256	`efa874e87e4a647fd2e4f514d5e91c7d493697127beb95e77d2f7561f6905bd9`
MD5	`430206a73d75ff1ae5f61e8a6ae91c97`
BLAKE2b-256	`ba996794142b90b853a9155316c8f470d2e4821fe6f086b03e372aca848227dd`

Algorithm	Hash digest
SHA256	`2ba94a401342fc0f8b948e57d977557fbf4d515f03c67682dd5c6191cb2d16ec`
MD5	`3639cedabe35a5632b084a971a65acb8`
BLAKE2b-256	`847def19b1db0f45b151ac78c65127235239a8cf21a59d1ce8507ce03e89a30b`

Algorithm	Hash digest
SHA256	`47734d7073fb4590b4a40122b35917cd77be5722d80683b249dac1de266aac80`
MD5	`6ab6e342758600114341ffd86925fb90`
BLAKE2b-256	`48b2011415f5e3f0a50b1e285a0bf78eb5d92a4df000553570f0851b6e309076`