Skip to main content

This is a python package which wraps a subset of VCell Java code as a native python package.

Project description

libvcell

Release Build status codecov Commit activity License

libvcell is a subset of VCell algorithms intended to support the pyvcell python package.

Getting started with your project

First, create a repository on GitHub with the same name as this project, and then run the following commands:

git init -b main
git add .
git commit -m "init commit"
git remote add origin git@github.com:virtualcell/libvcell.git
git push -u origin main

Finally, install the environment and the pre-commit hooks with

make install

You are now ready to start development on your project! The CI/CD pipeline will be triggered when you open a pull request, merge to main, or when you create a new release.

To finalize the set-up for publishing to PyPI or Artifactory, see here. For activating the automatic documentation with MkDocs, see here. To enable the code coverage reports, see here.

Releasing a new version

  • Create an API Token on PyPI.
  • Add the API Token to your projects secrets with the name PYPI_TOKEN by visiting this page.
  • Create a new release on Github.
  • Create a new tag in the form *.*.*.
  • For more details, see here.

Repository initiated with fpgmaas/cookiecutter-poetry.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

libvcell-0.0.15.3-cp314-cp314-manylinux_2_34_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.34+ x86-64

libvcell-0.0.15.3-cp314-cp314-manylinux_2_34_aarch64.whl (42.9 MB view details)

Uploaded CPython 3.14manylinux: glibc 2.34+ ARM64

libvcell-0.0.15.3-cp313-cp313-win_amd64.whl (41.7 MB view details)

Uploaded CPython 3.13Windows x86-64

libvcell-0.0.15.3-cp313-cp313-win32.whl (41.7 MB view details)

Uploaded CPython 3.13Windows x86

libvcell-0.0.15.3-cp313-cp313-manylinux_2_34_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.34+ x86-64

libvcell-0.0.15.3-cp313-cp313-manylinux_2_34_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.34+ ARM64

libvcell-0.0.15.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

libvcell-0.0.15.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (42.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

libvcell-0.0.15.3-cp313-cp313-macosx_13_0_x86_64.whl (41.4 MB view details)

Uploaded CPython 3.13macOS 13.0+ x86-64

libvcell-0.0.15.3-cp313-cp313-macosx_13_0_arm64.whl (40.9 MB view details)

Uploaded CPython 3.13macOS 13.0+ ARM64

libvcell-0.0.15.3-cp312-cp312-win_amd64.whl (41.7 MB view details)

Uploaded CPython 3.12Windows x86-64

libvcell-0.0.15.3-cp312-cp312-win32.whl (41.7 MB view details)

Uploaded CPython 3.12Windows x86

libvcell-0.0.15.3-cp312-cp312-manylinux_2_34_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ x86-64

libvcell-0.0.15.3-cp312-cp312-manylinux_2_34_aarch64.whl (42.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.34+ ARM64

libvcell-0.0.15.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

libvcell-0.0.15.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

libvcell-0.0.15.3-cp312-cp312-macosx_13_0_x86_64.whl (41.3 MB view details)

Uploaded CPython 3.12macOS 13.0+ x86-64

libvcell-0.0.15.3-cp312-cp312-macosx_13_0_arm64.whl (41.0 MB view details)

Uploaded CPython 3.12macOS 13.0+ ARM64

libvcell-0.0.15.3-cp311-cp311-win_amd64.whl (41.7 MB view details)

Uploaded CPython 3.11Windows x86-64

libvcell-0.0.15.3-cp311-cp311-win32.whl (41.7 MB view details)

Uploaded CPython 3.11Windows x86

libvcell-0.0.15.3-cp311-cp311-manylinux_2_34_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ x86-64

libvcell-0.0.15.3-cp311-cp311-manylinux_2_34_aarch64.whl (42.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.34+ ARM64

libvcell-0.0.15.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

libvcell-0.0.15.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (42.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

libvcell-0.0.15.3-cp311-cp311-macosx_13_0_x86_64.whl (41.4 MB view details)

Uploaded CPython 3.11macOS 13.0+ x86-64

libvcell-0.0.15.3-cp311-cp311-macosx_13_0_arm64.whl (40.9 MB view details)

Uploaded CPython 3.11macOS 13.0+ ARM64

libvcell-0.0.15.3-cp310-cp310-win_amd64.whl (41.7 MB view details)

Uploaded CPython 3.10Windows x86-64

libvcell-0.0.15.3-cp310-cp310-win32.whl (41.7 MB view details)

Uploaded CPython 3.10Windows x86

libvcell-0.0.15.3-cp310-cp310-manylinux_2_34_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ x86-64

libvcell-0.0.15.3-cp310-cp310-manylinux_2_34_aarch64.whl (42.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.34+ ARM64

libvcell-0.0.15.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (44.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

libvcell-0.0.15.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (42.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64manylinux: glibc 2.28+ ARM64

libvcell-0.0.15.3-cp310-cp310-macosx_13_0_x86_64.whl (41.4 MB view details)

Uploaded CPython 3.10macOS 13.0+ x86-64

libvcell-0.0.15.3-cp310-cp310-macosx_13_0_arm64.whl (41.0 MB view details)

Uploaded CPython 3.10macOS 13.0+ ARM64

File details

Details for the file libvcell-0.0.15.3-cp314-cp314-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp314-cp314-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 b98a3d9e89d963533ab785af32185fc40c4069270b8969981975b4a56b306e6c
MD5 7aced88cade26868fd6989fae0b2cc73
BLAKE2b-256 b3107542ff30153c94b264a1a6ad750039b796fa5bd5a9940eaf3790a5f4e154

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp314-cp314-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp314-cp314-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 c5b3c025f26a9ec821905361b2822912895c592b6521e6c7d4261d4b1fc4ad9a
MD5 1d58da4925295ce26605740262c15ebe
BLAKE2b-256 c2f4c2f6d137416aa83f605e81c75babdc807286b50b2ac8d8e2f97fefe6d3ff

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 1c34424b075558f3af28ed990df1d64ec6640728837845c7bf20adafdaaf875a
MD5 9cc818e1aa7ee7fe4e0efd088c4e2adf
BLAKE2b-256 09e890471d88eee7bd0e6e85488cc85fe5ffce3e39bc638ce1e403c288b538f7

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-win32.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp313-cp313-win32.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 34304479c3c4c34b3e53ec8d44ca45337c580cbd2e72ccdf917e86d385fa2e14
MD5 a58719acfcc3c2ba358fada01a299c37
BLAKE2b-256 bddad4d13d6bf2902ca15286afe94a1893f4f98ef960387db9ad77d16648a122

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 c2b4678793589bdc6e2a4cd620bd928e1d151d010e2b8290e7be7364839dac6e
MD5 721d25ee317860fa71e76d7885e35c03
BLAKE2b-256 468a49cf70d9d28f89bd2e912adf0b9fb209ad2fd9f1d4591292489fd9b954f9

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 d3d7cc7ee80fcbdf9c88184b31085e6e9b5f0619911ab27cd91292bce741fc86
MD5 706f914e35038846c74086e619862b54
BLAKE2b-256 b1069c0e7b9811b8e57a6b71d079ddf11e2a19478d6bbc172a150be3da1b5634

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 402f6328b479523bd77fa27d166b0d01d1e46973ea911f833fc350764685a0c8
MD5 d61714ff2b54e731b6831683888b2e94
BLAKE2b-256 443163c0099a025eb23c113c7f60d3b65f8e75bf3dbb6127892ab95276273cea

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 b174596ae0b3c274ef2ec0887a3ee98d733e2be5edb21260a1c650b198ae143b
MD5 08d32e07ca95bfcbe5aeb5ba68b0a4f1
BLAKE2b-256 fccee53925a439146675c319827594712e64e3231b865bd50c2b7ac86c780d94

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 16c997c6ca385612aa5eb97450093ec8acd6ae91c5ab36268618de8890a4e9aa
MD5 69d033ac79156f8ee2da3647ebbb0eb9
BLAKE2b-256 7b6f66d095c50a18a4f729b1c01329012abd7469161ec910243155a01bfba556

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp313-cp313-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp313-cp313-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 976ba7e73e8b88afa3540e206b9cbacda9e5b1df541722e5dfed29c8b67e33d9
MD5 eedf43feea61417943a9f1f648c7f67a
BLAKE2b-256 776de4699e5f9ab59c85b4aff00e8b976a00a68e0947da861ed50078ec532ba3

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 1c3efc6041c8143ced6bcc4ea203843a5e7832515fd3777d80c172129997bb2c
MD5 23409a0c9c46f407438ae54601c7823f
BLAKE2b-256 5b3a1b48c32d73f8f7f601fe7daabf0dfc3cbaf83e05a2b26f7fdc80a6411b98

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-win32.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp312-cp312-win32.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 a5072b796271b2e2c56088c0fb5324a35f499398e0236ae381c684753781a51d
MD5 095861bb44f72ca5ec6c538ccb363c18
BLAKE2b-256 6769d60face15126e5c38fafec40cb10bcbfcc76c56d7194ed1d13bc94cb2942

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 641690f68093ab8e7ef87795c368a9650c6ea74d4d74862ede59adf22a96d0fe
MD5 8e3d7b077db53d1e3345aede9ff3b5bb
BLAKE2b-256 f23a5eb902de5fe2dc8dee990b042fcf8d59996ece2efbedf05440e8bf889c10

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 0b7666679d2ca46b3c791f43515eac8b13e5ac1fafff16749175458bfe8e0df4
MD5 07b0e90591cc676a0826717db649b167
BLAKE2b-256 5150f888a26235f9d7ddb1d7e5077cf66575fa6f7d4668e9bc50af5ab93cb768

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 583f38f164bdfff86c1bd143f8d1c636484a35d4848b81cf783dd58dbc6fd939
MD5 2a9f8e67265db6b01c717f80eb7e991b
BLAKE2b-256 7d69feb43a3cda853b0a1855f5e5fbc3e1752917828c47f6d22f263777a5b9cf

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 1a043f46c9e550bcb314ca0832118505c266e1c7947924605ffef156e19d53ec
MD5 69d2b89315094d0d2de9a8d888dd712e
BLAKE2b-256 3834c18b32f0c5a5f0ec4b5a1a0b466bbb63790bfbd0031055acd1d71ffa8924

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 8545387bdc828b92e0adb689560e294ab1735327879ae63ae44e548cbfb65d0c
MD5 cb33cb5b78aad07ae450c5f3c593fe23
BLAKE2b-256 0161d109236ab33e51332fbcf3c3deffe77a3bbe1a6df9342e82e48a411aca5d

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp312-cp312-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp312-cp312-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 521eb5584e9a1c11445a6e4e07dae730436d8fb11579e83884a51bf426ad3492
MD5 856d6bf7938e3797bab41e85334f2a38
BLAKE2b-256 50bb436c9bb330cde586450b9a116c7d6db5ca6b968ce378d41e5ea03a87ecae

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 86bafa10b1c172b1404e09bc07eabd9292d2e8207bd915307a0df019953f7556
MD5 2abc4fb2688000d111f39559921c9319
BLAKE2b-256 3474204669c8e3f1f8ff2d5231c2595be15d1523b3d3d616bc6ad068ae86fd03

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-win32.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp311-cp311-win32.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 69d58ceae3593576734ac794cdef0054032215a33f180d3e1fe96ac6fd763d1e
MD5 170df95b59c5d77b01aa6e6e0c31c5d6
BLAKE2b-256 e5f8f1ce9831456a76fd5d8456b38ef5f4dc0e5eb63427714287fcff0dac05a9

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 1656d0e525ab3e4865e7baaa4c54be98c4b743d837d7843d674602cff6715af8
MD5 7ac05d3b06747a627497eee1a8f6ae6f
BLAKE2b-256 ce546a40d4e56baf32bc920c32abb1fa1b5c41a07a8a1dc1542b81c1a1e6a2e7

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 f93292c5fd0a8a642cb4d4b266dfc0c7d13a80a598bb7b96673f2e91d410371d
MD5 62ead44fb472528c369edacb39124d88
BLAKE2b-256 4889045285e66bb3cffdadd929b43d0a62763d92c8a196d6e5d56f47d2efe329

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b8ea2ad802a83499a923c2614b0fa693f540b89dacf1c0e6745da9bb0e3ca858
MD5 f7d9ab37ea860ce2a76d47a59ebca65d
BLAKE2b-256 48170855594814b0a71810693f1526522876678b0ac60ef98a333a8f55a4759d

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 07203f7e6e600b37181db47d884dfb36755ab500b2192cba76ccd9cb7131ac80
MD5 0c87a0aeac20d54712d27cc3b9968fe4
BLAKE2b-256 8258b0cd15ca6ab34ba2ebd7a269f43d2d742cffcf5ab88564a5f2b81ae232c9

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 2a0fa5f9d426d3d39be8a63fb60f88d152cb3d8a7e1ccb3ecd6150803ab4ad1c
MD5 3f38e9bfa499a216f40964dbd78bef6e
BLAKE2b-256 080a3158bb46aa35afcb2978166ed7950ae309eddf19ee8b51de45dceba55f85

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp311-cp311-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp311-cp311-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 f03b520a8c53538949e65e7dbf2041057786a1468f07b51554dcb0c67a4f7c5d
MD5 5d411670d11cee589c55dbc9e0cfe7e4
BLAKE2b-256 0952f05421a712d1b1b2f27119ee450c8266b99b2c8d66f7bc8c4f487c0c3eb4

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 25b5205594381ea9a8e094e241a0480562e04d1b19b223a9befdb184feedcdf3
MD5 cc9c6d3a3c196d3573fdc15ba77d4591
BLAKE2b-256 f65662e8d258986915088e3be06bb646124cac895232d46e7680cda7a2956dd1

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-win32.whl.

File metadata

  • Download URL: libvcell-0.0.15.3-cp310-cp310-win32.whl
  • Upload date:
  • Size: 41.7 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.4.1 CPython/3.10.11 Windows/10

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 e6b20de93a2b08327dd076236732281ac5d742f6946b53f1749460e226b9ae7c
MD5 1a04424b9263ba989641310ae2f5037c
BLAKE2b-256 78f26902ee113f302ccb0dd6d9a6343e6d0cd6cbbde50b3d1c96c8001b8138e7

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-manylinux_2_34_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-manylinux_2_34_x86_64.whl
Algorithm Hash digest
SHA256 f75925293b8882e4d9e9787b21a5b4aeee63a9be3ea72850450457521f4c77a4
MD5 efb46f1e7652ef458cca6a8206d7e41d
BLAKE2b-256 919d6a38f220a7db0787e9d0ae7ab193fd50e9c94fe612f8c20000aeb4af92cb

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-manylinux_2_34_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-manylinux_2_34_aarch64.whl
Algorithm Hash digest
SHA256 7a0cfd3674ca6a09211336a6c22fc92aa8407b8f077469359850dc73beb48d59
MD5 a1bdda7b93f6e791a26877140e904caf
BLAKE2b-256 e4c46dfb3cc0e1ce22ef8c0ba9872a08d82853f33fc084e485c35b5e5910624c

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 f13bedbcd04d20fcdb2e3c17f523290d4dbb4089ab14bb33ae2e43638995d0c2
MD5 a7ef3cb24bfa70a2224dede089e547c8
BLAKE2b-256 3244512d610577b19b69c96dcea2dd5386ce48fb02974c62296502cc681c59a5

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 ab7aa145549fc53b56f6ce1b0dabb8b86bc3a49611837933c62fef35d40ddfdf
MD5 121de6b42f67154e02cfc748f7bf749f
BLAKE2b-256 1ecc5566e2e00ae4636934c5e9314e4d91dd731cd839d011a55783f65df75555

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 5123ff514197cf2c4f260be949e5b2fa1649e47697ddaa54fc0e2765bcbef0e6
MD5 f92901a504338d09a8c64dcd6b1b1b03
BLAKE2b-256 91e9250a17d98fa64b630827343af9a8722cb6d1f84fbf87770eeb14920d786c

See more details on using hashes here.

File details

Details for the file libvcell-0.0.15.3-cp310-cp310-macosx_13_0_arm64.whl.

File metadata

File hashes

Hashes for libvcell-0.0.15.3-cp310-cp310-macosx_13_0_arm64.whl
Algorithm Hash digest
SHA256 603625a5d76c76141f97ab4f0bae85edd1ab35c30a7c1b09b0e0a4b2687f30cc
MD5 efa8d4572dafdfcce257be355a68c910
BLAKE2b-256 49670eea4990d84c8e74a774c76a93a54436cdbf82d46ae726b78dd11be08cd8

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page