Core functionality for the Light Agent Spatial modeling for ERadication toolkit (LASER).

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for clorton from gravatar.com clorton Avatar for jonathanhhb from gravatar.com jonathanhhb

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers
Report project as malware

Project description

docs

Documentation Status

tests
GitHub Actions Build Status
Coverage Status

package
PyPI Package latest release PyPI Wheel Supported versions Supported implementations
Commits since latest release

Light Agent Spatial modeling for ERadication.

  • Free software: MIT license

Installation

pip install laser-core

You can also install the in-development version with:

pip install https://github.com/InstituteforDiseaseModeling/laser/archive/main.zip

Documentation

https://docs.idmod.org/projects/laser/en/latest/

Development

To run all the tests run:

tox

Note, to combine the coverage data from all the tox environments run:

Windows

 
set PYTEST_ADDOPTS=--cov-append
tox

Other

 
PYTEST_ADDOPTS=--cov-append tox

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for clorton from gravatar.com clorton Avatar for jonathanhhb from gravatar.com jonathanhhb

Unverified details

These details have not been verified by PyPI
Project links
Meta
Classifiers

Release history Release notifications | RSS feed

1.0.2

1.0.1

1.0.0

This version

0.9.1

0.9.0

0.8.1

0.8.0

0.7.0

0.6.0

0.5.1

0.5.0

0.4.8 yanked

Reason this release was yanked:

test verion uploaded

0.4.1

0.4.0

0.3.0

0.2.0

0.1.1

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.

laser_core-0.9.1-cp313-cp313-win_amd64.whl (43.8 kB view details)

Uploaded CPython 3.13Windows x86-64

laser_core-0.9.1-cp313-cp313-win32.whl (43.5 kB view details)

Uploaded CPython 3.13Windows x86

laser_core-0.9.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (47.8 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.9.1-cp313-cp313-macosx_11_0_arm64.whl (41.1 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

laser_core-0.9.1-cp313-cp313-macosx_10_13_x86_64.whl (40.7 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

laser_core-0.9.1-cp312-cp312-win_amd64.whl (43.8 kB view details)

Uploaded CPython 3.12Windows x86-64

laser_core-0.9.1-cp312-cp312-win32.whl (43.5 kB view details)

Uploaded CPython 3.12Windows x86

laser_core-0.9.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (47.8 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.9.1-cp312-cp312-macosx_11_0_arm64.whl (41.1 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

laser_core-0.9.1-cp312-cp312-macosx_10_13_x86_64.whl (40.7 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

laser_core-0.9.1-cp311-cp311-win_amd64.whl (43.8 kB view details)

Uploaded CPython 3.11Windows x86-64

laser_core-0.9.1-cp311-cp311-win32.whl (43.5 kB view details)

Uploaded CPython 3.11Windows x86

laser_core-0.9.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (47.3 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.9.1-cp311-cp311-macosx_11_0_arm64.whl (41.1 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

laser_core-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl (40.7 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

laser_core-0.9.1-cp310-cp310-win_amd64.whl (43.8 kB view details)

Uploaded CPython 3.10Windows x86-64

laser_core-0.9.1-cp310-cp310-win32.whl (43.5 kB view details)

Uploaded CPython 3.10Windows x86

laser_core-0.9.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (47.3 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.9.1-cp310-cp310-macosx_11_0_arm64.whl (41.1 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

laser_core-0.9.1-cp310-cp310-macosx_10_9_x86_64.whl (40.7 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

laser_core-0.9.1-cp39-cp39-win_amd64.whl (43.8 kB view details)

Uploaded CPython 3.9Windows x86-64

laser_core-0.9.1-cp39-cp39-win32.whl (43.5 kB view details)

Uploaded CPython 3.9Windows x86

laser_core-0.9.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (47.2 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.9.1-cp39-cp39-macosx_11_0_arm64.whl (41.1 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

laser_core-0.9.1-cp39-cp39-macosx_10_9_x86_64.whl (40.7 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

File details

Details for the file laser_core-0.9.1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 43.8 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 9de782847c92ada16c3df589475d30548320c46d6c0345e6b89bb53c50a675fe
MD5 83793ae65b3b938063592745333bedb8
BLAKE2b-256 6e8233d7ff7d6d38a9ca4607eeb98b1703b7e301f76108c0cdcbea93dd0c68ee

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp313-cp313-win32.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp313-cp313-win32.whl
  • Upload date:
  • Size: 43.5 kB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 9fad550e5ed3b01ca3e79bbcc829ed85943546e1b3bea7d223947c1f0d217755
MD5 93bb29a8eee55d07dbf53ec7b0284282
BLAKE2b-256 2c7a0800dfbcaba3651aecf4f7de3ad03059659e9ad8f0861bac36712f3db9c1

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 ac26041d07dba8cdce9b0b5e35a5bffe02442e8472365b3f902331163f85cbe2
MD5 4a86666e4e5d244f54765ca990336eb2
BLAKE2b-256 03fcfad9f3b394bc6caa87c84ff16c140b9cf7f8ba24bf3527d7d162627ff730

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 329a3fc70e50ce62f11af17997bcfcf8d12a56f920bcb166e8157c3737898f59
MD5 2c06ecd845b1135b612cbb03099f1df2
BLAKE2b-256 c255036c96b25a892fcfeca7bce4f754543dadafb9a944b935ead6ba3a39c3d1

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 443d823a9c0fac8d47fbb6ab5499bb6dc706eb067d2dec208e64e9e57006cdd9
MD5 043ee562e78587f7e88bcfb6e60acc67
BLAKE2b-256 6ccd297aad84084fea30f6ebaf0a50db21861f3b2fe0b60808015de30bccf229

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 43.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 e32001e399d74bc1748fb0f9a9d04db7fc95ae9973b89bbf47b0b5345b12d0ae
MD5 406a7d67598bde4d85bf6d7ad47d60ac
BLAKE2b-256 f32d361c40eeecddd365cf01c94121c937fa3a0785b3bf70caf6a4bd26a32b97

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 43.5 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 26082104b2255a41a514c8fa842d83fddc487f35868a86be0f1c3cce6889695c
MD5 1b54ed8e0043a9404badf969aa92f8c0
BLAKE2b-256 6e91b4654ceb4391bb27f92f4c94d1926c1b5fd75a46bb70b648c37b20e11a85

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 17ec60a26d1554b9ee7319f80df2e4bdaa5635f0f4e8d82943db0f5bb148184c
MD5 87b2154ab57f096d5fa584fd70c32542
BLAKE2b-256 2d4482fd38ae929ea235ba32424b9f73385ff9ae9cc8ade3250d87d598298566

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4d30b531f426ac6f707f70e14b20d0d247da8f65c8bc088a4457ab15a92ae79d
MD5 9c503e6df09123f6f582602c812fd85c
BLAKE2b-256 73edf013bd02ea31794a69d2baf62d089fde7d6525c88a525d936264775a3be9

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 40a31088aca5071ee4c5dc98eee234a58c2a3e8311bf0448286dd47d7c5ecc5a
MD5 cab395b516ec76bbe23048aa99e6e1cc
BLAKE2b-256 b931d7fe139ceba61bc1fbc2448da02690522756ccc2d4ea82344373a605e357

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 43.8 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 51a78f52f7debf3b5afeae801e2cdabc791d5ebcee7f7cece1bd1abe1836f6be
MD5 18ba1365ec76689db107b2be32ffdd65
BLAKE2b-256 b5885a94d86629dd43749e9888bfd70d47bbf9bf291ba918dc5dc928d7d314e0

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 43.5 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 a2b34cbf6b5db9d24e2e9018c4c8d0d7f3914cf3fc6619949c9a2d218679ea38
MD5 3947f831d36ac7698c39f1cac4a523d4
BLAKE2b-256 d07783134149c66d81d13ce63970a0f1e4af6379091cd49fc774e81864c4719f

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 6aee87e2add36514465d85468e1af0053a7b7b2af867b335a982c62dbeee914b
MD5 d5625ce782bfa44474c69778856602ae
BLAKE2b-256 32cf0ab3bfeeb36d2977b789dd87e0812d8e0079e7983315f94de207486c6b52

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 476c3e103bd3159c95e39a2c8c13bfdef0bf753c147ccfb3813c4eb7d53fc6b9
MD5 a6777f43bab0bcd1b9b0c0d08e725f46
BLAKE2b-256 42c3dc5c02d73741514beee7c21916ef2623ab8787ce517e532fa213a64b510c

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bd380c0552c6b47350519e0e5de027840035ecbd40266ab95a17a3fa948c10be
MD5 6c2516ff6a932e3a8a03658bc532a028
BLAKE2b-256 e16fd1852eb757f252c96780d23449bafecef1a082e4963d919cb63bb5ef2bf3

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 43.8 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 0c65f1edd6ad50afb1fbb5fc120225ac8fbb231ac09f60d796028de83b8c097b
MD5 545140906388ec157dc144cafe0eec5d
BLAKE2b-256 e12972de4a10c96a6f31cdcbf5d1107c803a21a43722dd92e472b6f41329c724

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 43.5 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 66ff30c8703c02392ac65990b29b543a8b3fb8186b5efbd786ed30668d8b39e2
MD5 dd5f294c8fdef3a668c95ed7f5688927
BLAKE2b-256 6902fe72e1de89fabaa1973ae1bac8ac06ee54f10da83b198d92e86fb3668ab2

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 3763b715219b06d8e5c819e1e0532ce0a3de421b4a66414b3a6ec84542b4699f
MD5 ce46a96579315239952304243ac96fbf
BLAKE2b-256 5f605dda4e09a3c15389b15617cca92d909ebeab072690559e1bdff251edda3e

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 073937c2dd543725ea5494b9e782009641b2a5d66ed8e8311685359b4270f1bc
MD5 5a434f4db85577165683e73e5c832927
BLAKE2b-256 8b19a1146bd31d89235d4d9d43e676a64d477cc83fe63aabada9f858ca34fd43

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b4345618d059b7d14006ca4445f9c974898390c6be0179e2033237a54b7e3af7
MD5 4f103ddae18c7b45a7d40d2231c32d0c
BLAKE2b-256 0294e2bb48736acdd6b3a402f4df9567359b4de241265e1171b866a0e6a673d4

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 43.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 42d874404fcc455dc08af848bae57e55107b1725be33c01762dab22e69838d4c
MD5 45e1e6fbbbcbe112bfb7ce01d74703e1
BLAKE2b-256 26525224568b8c609b1890e9cc471d950b13f0fb62db2b5182af7b76c99c1515

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: laser_core-0.9.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 43.5 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for laser_core-0.9.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 c06617b688b65e6502637fc7238ebe3acc074ddb664317ba229b6bbb41e6cea2
MD5 0c85311c52ebccc67978763c90266e66
BLAKE2b-256 90071b06119fedd41ef2034c6aa95d7c7fe7003ef72c5c8105d6b26a6b1d6f17

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 79b0030f8fce44a51d168d265136ce7a4091301efa9036037c0f6e236e7d1b37
MD5 78b6addc3e5c163cdee66526187161f3
BLAKE2b-256 51d21270d90c7bb13a646741f112e42f00296c1b680b197e6a55736bbddf7382

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 93535276b966640fdae7165265971817a168949a67506cb1364d653f902dece2
MD5 a369c948bc1cc44e74f0a8797ac9f201
BLAKE2b-256 5247b8979fe6898be7637425cb37de3afe3417c4710d20c2f0674efbaabe27cf

See more details on using hashes here.

File details

Details for the file laser_core-0.9.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.9.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 12d48c73a04872dea8a6a90407cfccf2039214815e3c678e85936a8f89856659
MD5 75467a9a32d0df6a8acb166da2c5010f
BLAKE2b-256 9fae1160d63847554317b205320cdeb896e062b0e13b803ea26c4f2391cb7513

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