Skip to main content

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

Reason this release was yanked:

test verion uploaded

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-0.4.8-cp312-cp312-macosx_10_13_universal2.whl (33.2 kB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

laser_core-0.4.8-cp311-cp311-macosx_10_9_universal2.whl (33.2 kB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

laser_core-0.4.8-cp310-cp310-macosx_13_0_x86_64.whl (31.6 kB view details)

Uploaded CPython 3.10macOS 13.0+ x86-64

laser_core-0.4.8-cp310-cp310-macosx_10_9_universal2.whl (33.2 kB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

laser_core-0.4.8-cp39-cp39-macosx_13_0_x86_64.whl (31.6 kB view details)

Uploaded CPython 3.9macOS 13.0+ x86-64

laser_core-0.4.8-cp39-cp39-macosx_10_9_universal2.whl (33.2 kB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

File details

Details for the file laser_core-0.4.8-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for laser_core-0.4.8-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 8a46c69d773b9121018c6bfe6f0e63e34806c406db0d32b702ab9cea4763532e
MD5 95e006cddd7db92613af2fcd4f464af7
BLAKE2b-256 595769348252c30508478c1c213bfd24bf652925ed2a147d723837c77b04f117

See more details on using hashes here.

File details

Details for the file laser_core-0.4.8-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for laser_core-0.4.8-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 61b7062b22cea95c536faf4712bae608582d787f418732fc61925d37c21fd9db
MD5 07dbdd7dd0b0611f4d9ee2a63d787304
BLAKE2b-256 7dda2a392fbdac3e5f3e9fe67465fe9d3d31d14d9781d2fd8fd6db99905be971

See more details on using hashes here.

File details

Details for the file laser_core-0.4.8-cp310-cp310-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.8-cp310-cp310-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 4641a0beaa7b777b4a48be93188677a179b6a98636ba6dd923a1be90add26e5d
MD5 c0cd16056ae23438ebeb62bd6d5c89b6
BLAKE2b-256 3d1062d89426f500fadbc5d1f08dddae45b656b7357862b5a2f7c094e9f283b0

See more details on using hashes here.

File details

Details for the file laser_core-0.4.8-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for laser_core-0.4.8-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 10f9504360a0cee2c52c0d0bdc71bf0f01286555eedb0c27e663c0c143add95e
MD5 90cec19be8e7ad4a18eede46a6bc0cf9
BLAKE2b-256 ff77119aadb9ebc31e2cedf915d010b3e7b460f3ee48342cf242c2869d0c96a2

See more details on using hashes here.

File details

Details for the file laser_core-0.4.8-cp39-cp39-macosx_13_0_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.4.8-cp39-cp39-macosx_13_0_x86_64.whl
Algorithm Hash digest
SHA256 599930eb315865341009ada6bb4282e554a0d073178037f0445d21d76dd4b856
MD5 30970ec2ab86dc8a73e0bce48b6ef5c4
BLAKE2b-256 88ab6cc3828dffec1366186d325c2fb1dd19ede84b5db5ccc5519584acb105ff

See more details on using hashes here.

File details

Details for the file laser_core-0.4.8-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for laser_core-0.4.8-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 7f8f58e77b911762d9a56a3b8e09cb980c3d26e38bd53a6a36ad704c543f604e
MD5 0e0acfadd4c514dcd87eda253d4dc261
BLAKE2b-256 4091f1617246783648acac7d749efa22d99eddc88db630aa1403f2bb115dbcdf

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