A package for RSA particle packing.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for MartinPdeS from gravatar.com MartinPdeS
Meta

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Tags particle , packing , addition
  • Requires: Python >=3.10
  • Provides-Extra: testing , documentation , dev
Classifiers
Report project as malware

Project description

PackLab logo

Meta

Python

Documentation Status

Testing

Unittest Status

Unittest coverage

Google Colab

PyPI

PyPI version

PyPI downloads

Anaconda

Anaconda version

Anaconda downloads

Latest release date

PackLab

Testing

To test localy (with cloning the GitHub repository) you’ll need to install the dependencies and run the coverage command as

>>> git clone https://github.com/MartinPdeS/PackLab.git
>>> cd PackLab
>>> pip install -r requirements/requirements.txt
>>> pytest

Coding example

import PackLab

Contact Information

As of 2025, the project is still under development. If you want to collaborate, it would be a pleasure! I encourage you to contact me.

PackLab was written by Martin Poinsinet de Sivry-Houle .

Email:martin.poinsinet-de-sivry@polymtl.ca .

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for MartinPdeS from gravatar.com MartinPdeS
Meta

Unverified details

These details have not been verified by PyPI
Meta
  • License: MIT License
  • Tags particle , packing , addition
  • Requires: Python >=3.10
  • Provides-Extra: testing , documentation , dev
Classifiers

Release history Release notifications | RSS feed

0.0.19

0.0.18

0.0.17

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.7

0.0.6

0.0.5

This version

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 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.

packlab-0.0.3-cp313-cp313-win_amd64.whl (5.4 MB view details)

Uploaded CPython 3.13Windows x86-64

packlab-0.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

packlab-0.0.3-cp313-cp313-macosx_15_0_arm64.whl (2.5 MB view details)

Uploaded CPython 3.13macOS 15.0+ ARM64

packlab-0.0.3-cp312-cp312-win_amd64.whl (3.6 MB view details)

Uploaded CPython 3.12Windows x86-64

packlab-0.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

packlab-0.0.3-cp312-cp312-macosx_15_0_arm64.whl (2.0 MB view details)

Uploaded CPython 3.12macOS 15.0+ ARM64

packlab-0.0.3-cp311-cp311-win_amd64.whl (1.8 MB view details)

Uploaded CPython 3.11Windows x86-64

packlab-0.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (631.9 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

packlab-0.0.3-cp311-cp311-macosx_15_0_arm64.whl (1.6 MB view details)

Uploaded CPython 3.11macOS 15.0+ ARM64

File details

Details for the file packlab-0.0.3-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: packlab-0.0.3-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 5.4 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for packlab-0.0.3-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 2305be45fc1ac5de35f343c7c2751236e0605d778c99bd8b8e93cd662e653b97
MD5 6840b6ff2d7d3d89afc833e34b240e60
BLAKE2b-256 6a271be3221f7df0339eaf5b826eab2fbcd4d063e8f2cac6b8e5c91bef7e24b9

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for packlab-0.0.3-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 c899a5904914c84ccd705287e3b64faf8829678268ece018a5335fcf30eb0c58
MD5 cac5764dc74285bc2ae40969e5a26268
BLAKE2b-256 8df3bf44cf0e35695804c5773b5b7d9381d881f72dfe3c99b0846ea142b55e6b

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp313-cp313-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for packlab-0.0.3-cp313-cp313-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 70a6cbbd90215dbf3010ee6dcd43b0892eedf449c61633e73a9cf7fa2d802759
MD5 8040c45471bdb2baac6f4ffffdf8f1a9
BLAKE2b-256 65c7872a419575a2d6f7f7eda3a38a8dbd0f79dfe79169332f99b649a986f891

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: packlab-0.0.3-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 3.6 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for packlab-0.0.3-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 c6ecd25e1abb4091aaadc9cd8253c8b055c6bb7e99b1aa9cb984d2cf8b9b6fec
MD5 2c9f5c2485242263610727bb71aee7a9
BLAKE2b-256 76f36544eeba0ab4bc928c333c52f17a5775f315c007750d7a3f80ce62e7a920

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for packlab-0.0.3-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 1c9932c2e0fa63231184a1576244cf6b5612dd86fb36e9e2bf23c752a8fd6e3c
MD5 6acdbe946abd4ceeb36b4431294b4fa3
BLAKE2b-256 02951dda34af778307f7e40344a3a8e858cfe7c6f4b3dd6a8ab4d033f796f407

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for packlab-0.0.3-cp312-cp312-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 b9db23d9bfd9ec540a7b0258d61bf1303fe118783a11c4e38e19522053839cbd
MD5 a4b7e37e734084c4ad0854d56b50f87b
BLAKE2b-256 c09eba28f5c5e40fce2511c2b9186e068bb54c364965da4b4c9d2a93ef7780c6

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: packlab-0.0.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.8 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.9.25

File hashes

Hashes for packlab-0.0.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a5239fa4a46f8ea3378fa0a2844be2e05fd9953d6a4397e14094bf94e1eeb09f
MD5 031eba8c3cc6d7c7092256ccbadd042e
BLAKE2b-256 cb4930162501943e4f5202359e436ff71c4718413b6f5816a8df653fc5921cba

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for packlab-0.0.3-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 999eba8a54a31c4cf7b8a1894f6fe56e9fa249ca67c4bd058702e35303bc9316
MD5 4441047fef17b617053521ab3afbf8f9
BLAKE2b-256 6c0a159664cc25edb7728dd0c6444120729af0239bf7a73c4e22df804fed3f56

See more details on using hashes here.

File details

Details for the file packlab-0.0.3-cp311-cp311-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for packlab-0.0.3-cp311-cp311-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 6b12ab2dae2e88894f0c696606408a7c9c161c1b7c06998b1d610de67f1e192c
MD5 1b423fdc455f48dd63c6c6c41ca2b48f
BLAKE2b-256 d63edf00d19ce1d5d819ab858c235529a81aaabb5ff214bad17d18dcde3bf2dc

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