Skip to main content

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

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


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-0.4.1-cp312-cp312-win_amd64.whl (35.6 kB view details)

Uploaded CPython 3.12Windows x86-64

laser_core-0.4.1-cp312-cp312-win32.whl (35.3 kB view details)

Uploaded CPython 3.12Windows x86

laser_core-0.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.8 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (39.5 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

laser_core-0.4.1-cp312-cp312-macosx_11_0_arm64.whl (32.8 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

laser_core-0.4.1-cp312-cp312-macosx_10_13_x86_64.whl (32.5 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

laser_core-0.4.1-cp311-cp311-win_amd64.whl (35.6 kB view details)

Uploaded CPython 3.11Windows x86-64

laser_core-0.4.1-cp311-cp311-win32.whl (35.2 kB view details)

Uploaded CPython 3.11Windows x86

laser_core-0.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.3 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (39.1 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

laser_core-0.4.1-cp311-cp311-macosx_11_0_arm64.whl (32.8 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

laser_core-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl (32.5 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

laser_core-0.4.1-cp310-cp310-win_amd64.whl (35.6 kB view details)

Uploaded CPython 3.10Windows x86-64

laser_core-0.4.1-cp310-cp310-win32.whl (35.2 kB view details)

Uploaded CPython 3.10Windows x86

laser_core-0.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (39.1 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

laser_core-0.4.1-cp310-cp310-macosx_11_0_arm64.whl (32.8 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

laser_core-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl (32.5 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

laser_core-0.4.1-cp39-cp39-win_amd64.whl (35.6 kB view details)

Uploaded CPython 3.9Windows x86-64

laser_core-0.4.1-cp39-cp39-win32.whl (35.2 kB view details)

Uploaded CPython 3.9Windows x86

laser_core-0.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (39.1 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.5+ x86-64

laser_core-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl (38.9 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686manylinux: glibc 2.5+ i686

laser_core-0.4.1-cp39-cp39-macosx_11_0_arm64.whl (32.8 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

laser_core-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl (32.5 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

File details

Details for the file laser_core-0.4.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 35.6 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 94d0eea2eb63aed4d933110724a282455c8ed5836d247d23da426b37a9ed9500
MD5 81200e46ec96f8c65f86439d6dcbbcba
BLAKE2b-256 bce0adf9537e8a87616229ea515b52e8fc1b2f18c8eff544734ceef050e4636c

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 35.3 kB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 c5966188966175ff6fea6d5a7cf8b3486df477d41c1c945e0bcf54c676e109b7
MD5 56e4b0e3939b3cc0913c6ee056a0f4f0
BLAKE2b-256 be939147adf39bb6c253d81094a695408f1a785123c45eb2bc639a22fdeb99b0

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp312-cp312-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2a873f1171651d9f332c0b24881363c29ec48b69c241db7cc24ea4d7a4fcea0e
MD5 4e7ba6007e32f3438acfbab1057247f3
BLAKE2b-256 d1d46b1fc7e93642ae759c66ff6353930b342967b2e1c3dd8196f1a298a140f1

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 cab70af03b0b90c819f2a276ec7bb4c76a57166c06cf2ae5130586f57d556d19
MD5 60daf727bac7aa25f16534d13a00475d
BLAKE2b-256 8a0e926029d30bc2c6be629b8eda5ca036fabc5b8ca75a5840847e7fedf723ab

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 89bafc8e5629e3c75d2df917867f327c7cca1964d5a8ee36507ee278c5f4a483
MD5 3c2ad6486c3a6a2042e672d5670c3402
BLAKE2b-256 400389aa3e48e9941a7785ddb2d9a4287d9d6f584878ed41ee07a82133f6607f

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 6b0eb43758c768ce8fbeb400a3af9bfaa86a459e2b54c68d882ca8620a899274
MD5 b1015e3e1d78c78445f86e80a27113d7
BLAKE2b-256 a7dcdb757292623f23aa12d39ce2820c018484e7c6f5b1731036e96284f7bd41

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 35.6 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 07d1ff6e63945996eb87b64ecadfaf35484c1bb9c5704684b362a22f23e37776
MD5 ee95e55961a4897b0cccf7dd912d01fc
BLAKE2b-256 e9fe5bbecdd8898b613f50724a60d5615042cc9019847ced11a8b33971c059d8

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 35.2 kB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 746baab9fff07fd877418ea5129c158154ed354c95f7a700bf8574e7d73d0aae
MD5 3c2ad4b1449f11f1265fa794fc77d9a0
BLAKE2b-256 6395e2b3d11833ad6a1216f8d80fa3a046faf6dca55c91cc408636318ba9ca22

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a5d54114e4c953e5d4aecd4fd0c5f6159334705654556a79b136209102dce75d
MD5 0d25c1834d35c493a380e845900c41ba
BLAKE2b-256 0fa345ed6b89e19694653f639055486f611260e3ade6b37717544562032ff1f9

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 3ab26b407b142d358bde038527cb9a7816f2c6e1b15d25f17d95b837b0d34f22
MD5 e9550a028c96fa911ca06812ff4b97b7
BLAKE2b-256 935cd0b9198ca05420ab865a81ee9be7a7dff13b0fdd629df07f53ac29096324

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 137ff9c420a09837cd3fdb2dd683cff1508261e09d35e874f788f341b3b4fe04
MD5 c4510764d67ff64ef6dcaa73e73c1b33
BLAKE2b-256 3fb6553303ed0d35f01e24e153546c5108a76d29c457bccb3a29913181959f59

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 e66370191f3d9ac5ed66f997c82553a777cb407bbde3eac370b283cc9fe50de8
MD5 593f5a5036f5bffb923af6c57139a511
BLAKE2b-256 f4a75c3afbc2d0e5d7d917addabfec1bf0c271fbf15afe1942f5d029c099ba87

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 35.6 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 88c77298c03d8720ccb827e03c64fa3527e2ead0bfebb5ecfa3173716cbdd808
MD5 88180a070561b2c81e60a33949177b98
BLAKE2b-256 a3a4d07830068c235c181c7f1211be141ea23ecc872f8e8d9779b13ae8e97476

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 35.2 kB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 d8c1a0925f0e4f99b4a4889c40acd9b53ee272a707a3342e138ed7088f03433a
MD5 dad879b58e5b4333c9fa0adba60dd6c7
BLAKE2b-256 cce5c57b8083d9850f958d5a1a43810a1d5cd6424a3a68ef26007e6a8d628016

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dea601d86c19a3c39c367f481f643bef23187e931e3d919f8e36b52c729297b7
MD5 ef3df1992141d1a91882c95d8ed0ae7f
BLAKE2b-256 2a55618bf1f51e6da61be2640ac5894690fa2eb4e1725184145f3da744026237

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 ff33698ff271f2c118d65ac2f235754e8a191142e58270ba566dca1731b0eb24
MD5 7ee1ccb5452ce7a8ac32dd641e79464b
BLAKE2b-256 e6e60e5e9985faf1955b7acf710f9b1e88d07f1e3c8c1329336ff5ce674694cb

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 43422ceb095ec531e37a62f2d9df9df625ac27c7ef875ead0893222759a4bb42
MD5 5173ea2e5afe32c4dd659b423cadc719
BLAKE2b-256 45ad4f951c3dbe746e2f0e74f27d09833cea0ef655dc156a20e830b44a87cbae

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 217bb936be6d0d36a2277e3fc0c0a1584a7ae7af0e75e1dccc60a089f76b5cf6
MD5 f99fe88510332f64e158cd9dcf3778a8
BLAKE2b-256 7e129d6cdf81a393d73d2f4cf0c8464f5129708dd04b5383defc57eaa0c7c6aa

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 35.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 94d70920717cc69fb2feee5fad6ed8fd82a17a19fae7e4ac6c473283347dc5ff
MD5 bda551d2525192656f83a6ae9f0c8375
BLAKE2b-256 de660fc32861d75fbc2cc48e0eb1b039bc13867c4995efdcafcaccbf4965bddf

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: laser_core-0.4.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 35.2 kB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for laser_core-0.4.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 7e29ccecf079f4e1aa07da875bb57a7e5e30e53ebbe697ec0fcf517b42a8f88f
MD5 59aa7de7e31dacc6fe154077ec448fac
BLAKE2b-256 bc3ea04062a554661e5ea739bc757922974c79d94aabb7a56d51647501c5538b

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 584ab4ac2209952e7d1c7ef8f5970eb172da8ba5fbfd3306cbc787c22cfb7fdd
MD5 9e5fc150943f2c448d5a27f78f2ffce7
BLAKE2b-256 3b965e51535c37dad6a08d241019f3212d5c6e492093231ee134dc1ad9fd48c7

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 b9d168cc84dd43024bc991d2dce2d44822b5b14d27bb4a176f44cda314a217f3
MD5 51a665ef0fcd497b87bc2012e05a70e3
BLAKE2b-256 412ee4b094a34f4a1889f5c2fc78853e33da0d63819c3f1040d9a1a0f5be16ba

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 86e405860c9dbc0817d4362fabefe8b75a2e12eb07d7c1422d6eaa8478ad1796
MD5 91eeb56eba9307b88e441efa1e98d70f
BLAKE2b-256 b45b5b748f7d5ab1ee4124ea73946834c60ede431e07d4934d4cd8eb31de9c79

See more details on using hashes here.

File details

Details for the file laser_core-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f245990740d25443464ad2e8c15f0ee597f1ef31b011800a275830323671eea1
MD5 024de577a3d54d7dd8416aa334f2ce2e
BLAKE2b-256 8ed3fae5c393f4dae13462a5447c88e492d001035997e89bcc2d6c7ff2fd637c

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