PartSegCore compiled backend,

These details have not been verified by PyPI

Project links

Project description

PartSegCore_compiled_backend

Contributions

This is a package with all cython/c++ backend for ParSeg

Current release extracted from PartSegCore module to avoid building multiple wheels for the main package and speedup tests.

This package requires libomp for build. On linux it can be installed with apt install libomp-dev or yum install libomp-devel. On macOS it can be installed with brew install libomp.

As clang version created on macOS do not have native openmp brew do not set libomp as default visible. If you install libomp with brew and want to build package from source you need to set OMP variable to libomp location.

For example:

export OMP="$(brew --prefix libomp)"
pip install .

As currently there is no wheel for macOS ARM64 it is required to build package from source.

Cite as

Bokota, G., Sroka, J., Basu, S. et al. PartSeg: a tool for quantitative feature extraction from 3D microscopy images for dummies. BMC Bioinformatics 22, 72 (2021). https://doi.org/10.1186/s12859-021-03984-1

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

This version

0.15.7

Jul 1, 2024

0.15.6

Feb 1, 2024

0.15.5

Jan 25, 2024

0.15.4

Jan 24, 2024

0.15.3

Jan 23, 2024

0.15.2

Jan 18, 2024

0.15.1

Apr 21, 2023

0.15.0

Dec 30, 2022

0.14.0

Apr 14, 2022

0.13.11

Sep 27, 2021

0.12.0a5 pre-release

Mar 1, 2021

0.12.0a4 pre-release

Feb 3, 2021

0.12.0a3 pre-release

Feb 3, 2021

0.12.0a2 pre-release

Feb 2, 2021

0.12.0a0 pre-release

Oct 23, 2020

0.0.0

Jan 18, 2024

Download files

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

Source Distribution

partsegcore_compiled_backend-0.15.7.tar.gz (298.6 kB view details)

Uploaded Jul 1, 2024 Source

Built Distributions

PartSegCore_compiled_backend-0.15.7-pp39-pypy39_pp73-win_amd64.whl (1.0 MB view details)

Uploaded Jul 1, 2024 PyPy Windows x86-64

PartSegCore_compiled_backend-0.15.7-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 PyPy manylinux: glibc 2.17+ x86-64

PartSegCore_compiled_backend-0.15.7-cp312-cp312-win_amd64.whl (1.1 MB view details)

Uploaded Jul 1, 2024 CPython 3.12 Windows x86-64

PartSegCore_compiled_backend-0.15.7-cp312-cp312-musllinux_1_2_x86_64.whl (2.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.12 musllinux: musl 1.2+ x86-64

PartSegCore_compiled_backend-0.15.7-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.12 manylinux: glibc 2.17+ x86-64

PartSegCore_compiled_backend-0.15.7-cp312-cp312-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.12 macOS 11.0+ ARM64

PartSegCore_compiled_backend-0.15.7-cp312-cp312-macosx_10_9_x86_64.whl (1.5 MB view details)

Uploaded Jul 1, 2024 CPython 3.12 macOS 10.9+ x86-64

PartSegCore_compiled_backend-0.15.7-cp311-cp311-win_amd64.whl (1.0 MB view details)

Uploaded Jul 1, 2024 CPython 3.11 Windows x86-64

PartSegCore_compiled_backend-0.15.7-cp311-cp311-musllinux_1_2_x86_64.whl (2.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.11 musllinux: musl 1.2+ x86-64

PartSegCore_compiled_backend-0.15.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.11 manylinux: glibc 2.17+ x86-64

PartSegCore_compiled_backend-0.15.7-cp311-cp311-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.11 macOS 11.0+ ARM64

PartSegCore_compiled_backend-0.15.7-cp311-cp311-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.11 macOS 10.9+ x86-64

PartSegCore_compiled_backend-0.15.7-cp310-cp310-win_amd64.whl (1.0 MB view details)

Uploaded Jul 1, 2024 CPython 3.10 Windows x86-64

PartSegCore_compiled_backend-0.15.7-cp310-cp310-musllinux_1_2_x86_64.whl (2.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.10 musllinux: musl 1.2+ x86-64

PartSegCore_compiled_backend-0.15.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.10 manylinux: glibc 2.17+ x86-64

PartSegCore_compiled_backend-0.15.7-cp310-cp310-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.10 macOS 11.0+ ARM64

PartSegCore_compiled_backend-0.15.7-cp310-cp310-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.10 macOS 10.9+ x86-64

PartSegCore_compiled_backend-0.15.7-cp39-cp39-win_amd64.whl (1.1 MB view details)

Uploaded Jul 1, 2024 CPython 3.9 Windows x86-64

PartSegCore_compiled_backend-0.15.7-cp39-cp39-musllinux_1_2_x86_64.whl (2.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.9 musllinux: musl 1.2+ x86-64

PartSegCore_compiled_backend-0.15.7-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.9 manylinux: glibc 2.17+ x86-64

PartSegCore_compiled_backend-0.15.7-cp39-cp39-macosx_11_0_arm64.whl (1.3 MB view details)

Uploaded Jul 1, 2024 CPython 3.9 macOS 11.0+ ARM64

PartSegCore_compiled_backend-0.15.7-cp39-cp39-macosx_10_9_x86_64.whl (1.4 MB view details)

Uploaded Jul 1, 2024 CPython 3.9 macOS 10.9+ x86-64

File details

Details for the file partsegcore_compiled_backend-0.15.7.tar.gz.

File metadata

Download URL: partsegcore_compiled_backend-0.15.7.tar.gz
Upload date: Jul 1, 2024
Size: 298.6 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for partsegcore_compiled_backend-0.15.7.tar.gz
Algorithm	Hash digest
SHA256	`df05dd41e60666e0963492639df715a2a2aed3c775934a3ee714b364c694db03`
MD5	`5a96586c42eae03cb82e5bd5d2f4b22c`
BLAKE2b-256	`6f8bbfbc6a7f6ffde6a3b0967e1eda06a9f60c07245e597a228f0ce83d3a2a39`

Algorithm	Hash digest
SHA256	`6b4a4eb40a18dd17baaf1cd3ae9d53484ac0a2f0439ddaaa1d3684c7978a2175`
MD5	`4e93684b70e072a1cc6a60c502725d20`
BLAKE2b-256	`8359ab9555df51f1a61fb15d0cdae4feeb58f16804f753bcfb0afe912e5bfe66`

Algorithm	Hash digest
SHA256	`a49bfeba61d45647637a104de999f1b6e53455452ca4d59e7fef96733a80cacf`
MD5	`c9033421c0cb1542285a60fd52536c6d`
BLAKE2b-256	`75d9b4c59ba1b80bac669f87e47de5d82f08b519d35512f5dd033df0458fe9df`

Algorithm	Hash digest
SHA256	`d3d2f7d31799ed4655afc13cb2fc8cf18a9d060cc89c67df47c71b4079dd9356`
MD5	`53d94991ec29df1bea1d4b54c50bbdf6`
BLAKE2b-256	`bb6dac2914dfa636d019f6d5a025b2c923889d64ad395d6d4e4c6fe9de8ceacb`

Algorithm	Hash digest
SHA256	`2057975850279448667887c4572ad169a0ccaa7c8e88bd6aa92a22bd014c4848`
MD5	`603ebe9724c1e26dda8846b17cc9aa0e`
BLAKE2b-256	`d5e9161af18c8296571e1ebcfa3b44a5979e0ecc5bdbe211e6d7b6df5da3534e`

Algorithm	Hash digest
SHA256	`f9d865a2b203b7c42bb414cd75eadc09f86a556d6cee55fbdd08db3598f59a78`
MD5	`b3587dbfa75b116944e471f8bc6bc8a4`
BLAKE2b-256	`072228ab5d041178b14d7f8109c86c07e7f3fcc6498aa092b7dcf87b0a0195d0`

Algorithm	Hash digest
SHA256	`a2ab71ce286964bbf77742a6986884ee7d2c470050f39a8791d77d940014b7b5`
MD5	`59f55f5e68cc08ea5aab770f07c0e1e2`
BLAKE2b-256	`aa7e0985091da3b24ff76d47234b980df05bd39c925d422175c5f9ce86a77a0f`

Algorithm	Hash digest
SHA256	`9bc61412a5b0db0b38530d2e4266c587c03f33310f5197ff30698d788cb7a148`
MD5	`659cfbce5785ff2da02ac95c5de66f9c`
BLAKE2b-256	`eb977bd86413875dc931ff36688119194b3da4284255d11bef2a1fb2a0c718e9`

Algorithm	Hash digest
SHA256	`fd9c6390242609b4c309d8c7a621a8e9045c2e55a3d09d699de4995e8ff30835`
MD5	`297c14a5a16bd5a04efa35ad8dc460b1`
BLAKE2b-256	`09ba6cf881cc0531f1ff204d097cfb0563fb67e4d89a00a14fb77e2cf0e6ad5d`

Algorithm	Hash digest
SHA256	`ae3c6d1cb11995332545f2d204fa7f8e7571a9ef8c07c687f4b42d8b07ffce99`
MD5	`bc9401ce3c679efa4293fa8f9bbd182d`
BLAKE2b-256	`fd8a297e1581920b61f55667097b49c47cf335178eeae0742672af5cb91d78a8`

Algorithm	Hash digest
SHA256	`c33ee8553bd73bfd2ff1040619c0740ab584930ca897e3bb4abf004b2dda91f4`
MD5	`d8efe76b7ff808eb976c9701ba172453`
BLAKE2b-256	`240544c3c7e4a7a2b0255a514a194d50d1dc3b1db1a645ea8d80da49b2905547`

Algorithm	Hash digest
SHA256	`7b915cf9a52c0bba7cdbc7238b95d97581d2bad6d98085e6a3b0763acf8e4e77`
MD5	`71d6f26422fdbf0b199620c59630e48f`
BLAKE2b-256	`7a46d051aac752f1157a842742aad2aafbfbd097b56992a821df48493a28ce96`

Algorithm	Hash digest
SHA256	`22621ec9ce9b3900713d7571c1ac7de559683b193b9fbe0a9d3092fe5cd4a64f`
MD5	`6ed61d86f7783fd694642958da0f774c`
BLAKE2b-256	`7058c6a9c09eab1af3e3613a8f04fe722c8756718de31b68575671b895e6a1d6`

Algorithm	Hash digest
SHA256	`ea079aaaecc14f755af71381f48484209e837e33a9817e7a6a03b4c91579d347`
MD5	`79ca61466009e07ba17470babe5dfc5c`
BLAKE2b-256	`56cc6894c13deebaf03d4fb4b0f61c74e79e4a71e49b2170e7a1525e10b26d70`

Algorithm	Hash digest
SHA256	`3e53d06d352e9a9ed1e07ce85ce9ee8b9a62897dcf5e846056fa7e3aa3bf9afc`
MD5	`38f9438dadad0689e32ad8dceb659c9a`
BLAKE2b-256	`445ac068cf40189bdc1df4deb9ba021a21f6168c9216fd4dfa7d4ffaf614b463`

Algorithm	Hash digest
SHA256	`a4958890ecad5a2a8da8066be462e12e3eb2ea7c0c851a47312974ff705bf5a9`
MD5	`975e35223c4da76cae8bee2db0f397ae`
BLAKE2b-256	`370779da9e8bbc58a6bf8dc9637738ea4bbde6bede7ecfe966f55c213debe159`

Algorithm	Hash digest
SHA256	`3c72b8fb8253323c33bd4cb52e7f7c743d2290d015bc0b36719348325a018168`
MD5	`bd0f36f805e5555975659099a95112db`
BLAKE2b-256	`ef1eba2c0e145dff3a2dfa916b1eec32e8d584b8d1547ea594aecafc394936d3`

Algorithm	Hash digest
SHA256	`1c8b931296151806ac2bfe1a40c917f5694ad9376690faf612dd7b0a4ec837c9`
MD5	`57f6a9b091e9588c713e2c31c6a4a189`
BLAKE2b-256	`3e4b71fa6c5bd94417645ed5c36edfd49f52ceda5db15063449437534a3a72f9`

Algorithm	Hash digest
SHA256	`334d3ec83bee764f3be59eceb8298e8c7e0d42f19ae73524f6809bd42e0b1e8a`
MD5	`e84db9e19cfb728999b7cb6b3566f9c8`
BLAKE2b-256	`be18d488779020c89110dcaa762a777d60a0e0130aaa192889447cd01cff79e3`

Algorithm	Hash digest
SHA256	`3176d21ad459758ed012458faa33abd959ff1cc6dc4f3c2a41ffd3ab46fd09dd`
MD5	`a360714898f2dc9d1df988932fc43124`
BLAKE2b-256	`ce0a53810f17585624598353062a6db627ecc82a33a26db0db5a28d36060cfb0`

Algorithm	Hash digest
SHA256	`4e56f22c2e711cc9ca6cc417f436ed5e3d89853636d348f330c5fb7552f799b7`
MD5	`56833afd883fe886b0bed7eb6ea3bd75`
BLAKE2b-256	`049363a75039e3e0e501d28b726b4c539b5ce58c360912b76c8e09cc1aec60ad`

PartSegCore-compiled-backend 0.15.7

Navigation

Verified details

Maintainers

Unverified details

Project links

Meta

Classifiers

Project description

PartSegCore_compiled_backend

Cite as

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

Algorithm	Hash digest
SHA256	`f7a6d8bafff6aefd9024307b0a2b666f2c6afdc0923e70651902300abc528500`
MD5	`d5035b4508d1beb860f3297ae2703295`
BLAKE2b-256	`e7e132bdad6e9934c7ed99f0ec75aa56770a18649eb37380731c9c0e16fe886e`

Algorithm	Hash digest
SHA256	`eae76fe81524ec0310eaad82670e7757147f3970ee5877c9d2f2372b15c7d21d`
MD5	`b55395572530d6711a95da85940ec3a4`
BLAKE2b-256	`0a49a6a50af0333bafe82bd3028a8b0bce89b3e6f2d39406b7ec4e4a30eaca75`