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

0.9.1

0.9.0

This version

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-0.8.1-cp313-cp313-win_amd64.whl (42.7 kB view details)

Uploaded CPython 3.13Windows x86-64

laser_core-0.8.1-cp313-cp313-win32.whl (42.4 kB view details)

Uploaded CPython 3.13Windows x86

laser_core-0.8.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (46.7 kB view details)

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

laser_core-0.8.1-cp313-cp313-macosx_11_0_arm64.whl (40.0 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

laser_core-0.8.1-cp313-cp313-macosx_10_13_x86_64.whl (39.6 kB view details)

Uploaded CPython 3.13macOS 10.13+ x86-64

laser_core-0.8.1-cp312-cp312-win_amd64.whl (42.7 kB view details)

Uploaded CPython 3.12Windows x86-64

laser_core-0.8.1-cp312-cp312-win32.whl (42.4 kB view details)

Uploaded CPython 3.12Windows x86

laser_core-0.8.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (46.7 kB view details)

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

laser_core-0.8.1-cp312-cp312-macosx_11_0_arm64.whl (40.0 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

laser_core-0.8.1-cp312-cp312-macosx_10_13_x86_64.whl (39.6 kB view details)

Uploaded CPython 3.12macOS 10.13+ x86-64

laser_core-0.8.1-cp311-cp311-win_amd64.whl (42.7 kB view details)

Uploaded CPython 3.11Windows x86-64

laser_core-0.8.1-cp311-cp311-win32.whl (42.3 kB view details)

Uploaded CPython 3.11Windows x86

laser_core-0.8.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (46.2 kB view details)

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

laser_core-0.8.1-cp311-cp311-macosx_11_0_arm64.whl (40.0 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

laser_core-0.8.1-cp311-cp311-macosx_10_9_x86_64.whl (39.6 kB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

laser_core-0.8.1-cp310-cp310-win_amd64.whl (42.7 kB view details)

Uploaded CPython 3.10Windows x86-64

laser_core-0.8.1-cp310-cp310-win32.whl (42.4 kB view details)

Uploaded CPython 3.10Windows x86

laser_core-0.8.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (46.2 kB view details)

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

laser_core-0.8.1-cp310-cp310-macosx_11_0_arm64.whl (40.0 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

laser_core-0.8.1-cp310-cp310-macosx_10_9_x86_64.whl (39.6 kB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

laser_core-0.8.1-cp39-cp39-win_amd64.whl (42.7 kB view details)

Uploaded CPython 3.9Windows x86-64

laser_core-0.8.1-cp39-cp39-win32.whl (42.3 kB view details)

Uploaded CPython 3.9Windows x86

laser_core-0.8.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl (46.1 kB view details)

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

laser_core-0.8.1-cp39-cp39-macosx_11_0_arm64.whl (40.0 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

laser_core-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl (39.6 kB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

File details

Details for the file laser_core-0.8.1-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 42.7 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-0.8.1-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 c3a230df35dc3112ac4b4c1efd56649beb785938efb4a0243411d3c074980a44
MD5 b95ba3ee7b309f0d655d0144404bcd6b
BLAKE2b-256 92a9a50a973118378fc3add5bf64fe3bc9bb38f64bc9e9e531b6a944800cbddb

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp313-cp313-win32.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp313-cp313-win32.whl
  • Upload date:
  • Size: 42.4 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-0.8.1-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 6756e1b0637db28eaa2207792b17f5cf66c154d6b1dbdd0cc8833b531db543af
MD5 0d4fba2cac5e357819c4fabe1cafc2de
BLAKE2b-256 2d79d3fe19ba2b27b20d4c12ccdfd1f7a0e5374f0fda54c38eeb5c800d75954b

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp313-cp313-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 6382ea8daece14b67696ab8411f5a62b46c7b816b094e1c7d29417e7a3aed406
MD5 eceea5d707689cc49f40852a4ba59d04
BLAKE2b-256 091189cb34b59565c652292a08250545b3d7e4a03f49c72c13295efe07a48472

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 022ef62162ea70c1ce9a29bfdb6c4a179c23db5c44796fde01a1442634de5edb
MD5 9b83a5bcd9a3ec24ce6a731100e84358
BLAKE2b-256 4fe61e512e272acf5b9b82c1f1be1218eb3ac3c6b50c948a21ad965fb6d8a117

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp313-cp313-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp313-cp313-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b4b735dbe9b1015256599745ebcdfdac3ca5b3496e50ac5687dd923f89e4abc8
MD5 2970bb98ccc90836244c1a3913d6467c
BLAKE2b-256 c14bc94c4a37193e16cb99c41459f611984ff044941084e53372ca42d5580eab

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 42.7 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-0.8.1-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 d27aa92575f99f070a0e935be4902d7e7ca26d51fa02aa39e7c8deffe46c7f2a
MD5 6ebf281d8b67f06f8b8f3005f9b2888a
BLAKE2b-256 bc14d8b86c1a2af73791ba30e9900c4b259ff444663961f4d276eb7118025ec2

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp312-cp312-win32.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp312-cp312-win32.whl
  • Upload date:
  • Size: 42.4 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-0.8.1-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 06c1379779b3d54eb25cd28dfa6ddd4bf656c974021b0a6f4961f4886c595b02
MD5 a0ac7b7ea6278325c561f8c8328f36a4
BLAKE2b-256 c0593faafd0c96445bff86ba3764b3b424b550126ecb621de510a41638bd2230

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp312-cp312-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 dc9d49df1f8848ed198d21d57ce27febfbb9266b6a44d34d13507d9e96be7941
MD5 d5ffc258158434f0963b218c4546ab25
BLAKE2b-256 5013c08f1d7648c2fa0014bc80daf07056c34a110aded4ecca3fafa96617fa8f

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2185e2a07b4bd77182f0149ed6a216afd47e4286c6f1fcefdee1593098ea59ca
MD5 37faeb46142b770ec759381b83abad31
BLAKE2b-256 d4a67cd055a59a52228dbecc4fe166b25f922db7b53d5abc19a3e9776fcd5582

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 70fa6d14ded3a456fdc07aa83e6972696fb14a8b8fc12811ce35f3df572b3f4c
MD5 017249c504e4411b8a6afcb00e3898b4
BLAKE2b-256 d0d9ad50fda2098cc168ba6b500ff9ebcd0557f90fd6869a08b263556e7a2a12

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 42.7 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-0.8.1-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 2d4e9bea89d66775150d97608a79fd21015cefa21930c8b933bfd7ba3835bf76
MD5 14a61e7f849b76043789ea81b310e260
BLAKE2b-256 e767ea0a49b18ef219efa575de11581e614a46e1cc42efde581cc05a8b4b634d

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp311-cp311-win32.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp311-cp311-win32.whl
  • Upload date:
  • Size: 42.3 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-0.8.1-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 69b609d2a8f473b18a590d36e65b51bb16b1ff709127db3ebd0cf3e9589aa8c1
MD5 bd2e54ad446d1f6d1c0a799208038598
BLAKE2b-256 3cd2ba663bbd8bb00d3490cb72668b495022d208d157866a6e0d15576b7732ba

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp311-cp311-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 6ba2ec9b5189605e8d7b8a8837c615f6306e74f6f0b96b5111f1b45647541262
MD5 ece9cfd33c0d3c80e25b4cab3e8e26e7
BLAKE2b-256 13339df93e0c5b01196276f330c6223bbc55f131ddb443d4c35796d47b3d1752

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c97cbd1139339ca22aa9e0892a8b661fb3414ed5282e3f8e77906c302fa16a31
MD5 0f0185123f0f34a907dff447754789aa
BLAKE2b-256 f31434d99ea4fd617599c2c579bf4b91c9a3525b0fafb1d25d5eff4c83b1a44c

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9af338ba378323108e8515395e8ac5b57eb24dc383c32157f78a698c56937a28
MD5 3fb74a222846d89958e06c6ae44c7583
BLAKE2b-256 33cac8ebf8c13675020c0418bedaf84a18745d98e6145964c09425c7600c8b47

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 42.7 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-0.8.1-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 793fdc3cac84b219c60628d9ba4f0ee053da104ffebd075038ce4edcd6cb9094
MD5 beaf12d444f6fd16c7b00744a1996e1f
BLAKE2b-256 31af8a1c6c99e0a88218cefd34792c875240855fa3e182317ce50cbcb2233fbb

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp310-cp310-win32.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp310-cp310-win32.whl
  • Upload date:
  • Size: 42.4 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-0.8.1-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 83a86d327372e2adfc378d78b09a079bdf80338b7ae6b1259e4156acfde724ae
MD5 6d357be0eead9932e5989e349efae3ae
BLAKE2b-256 f99685c6714132fa7ccf2fcef5eee8abfb473c84445861699a35395579f44d29

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp310-cp310-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 e50139c0981167493a3b0583a74d3f269c0dd4b55894a46e1e5bbeb5d136688c
MD5 04df3c13523a88ed0f7d73ac4c6559a5
BLAKE2b-256 7ac8b953d65a9a24f2c7f85776c11b543f09beca7a18534339d80fe44b2072db

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 694b7d469112747648fc55f739967fc0c821fd652a7da6e50e709258e476ab77
MD5 c755fdc2241b4935bb91d75db0c544d4
BLAKE2b-256 c8a34d4e226d07f82d8a1a84ce817b3a202f07d3ab3bd76182ac643deecc09ef

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 5edf15345a8d89e1a50d91034f575bcebb6fc6bb6642c6362576eabd5764ba50
MD5 2068287bb57621c13d7feee905751a51
BLAKE2b-256 1f663268f1aa5973bb1e6d18dc903aa07b4d050b21bece97b6da0df17ec24465

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 42.7 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-0.8.1-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 9312125a29ed4011bc370e7f906f0a1e5776da6842ac1483134acafefe23a066
MD5 7c9093f921d8022bf2e6e921d567ed02
BLAKE2b-256 06d3dd804d5232341d0c06d03c922c0ea0977e72b965805bd76b9d177570fd71

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp39-cp39-win32.whl.

File metadata

  • Download URL: laser_core-0.8.1-cp39-cp39-win32.whl
  • Upload date:
  • Size: 42.3 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-0.8.1-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 bde51f6edf38e63de582dd84793bd631d2a8307e298a7813bedf98d673b1f232
MD5 ab10a9b4a66e13d85287493078c917cc
BLAKE2b-256 f84322ba3016d19d360ef46e0393a174fcbfbe9f81ac76301828eb2e220aa471

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp39-cp39-manylinux1_x86_64.manylinux_2_28_x86_64.manylinux_2_5_x86_64.whl
Algorithm Hash digest
SHA256 01cd55b2dfb0b2e639c6efdc70f1fbd1d42433a036765a513ce5a93193b001dc
MD5 6596c8cf592f27c600b48cb5daaea298
BLAKE2b-256 5be6a6dc6106d10e62edc8274ff0ecb095a02f080a95e0a87553e96159a1860a

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c17fcc7bd9dd2007128b742083cd6026b951d2247788de64cd4fa3ea62fccc86
MD5 245adc5087b6951a4d28a8c0e98e790c
BLAKE2b-256 91660c374d6733d893f3c732d3bf21adb8d74df02ce0195a742cc8364666005f

See more details on using hashes here.

File details

Details for the file laser_core-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for laser_core-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2e64a09cb29ee4f6dfbd8cc705e9d2c0ffe217774c91c0feaa21ebae95839ebc
MD5 ac72f83f749774a45f2b62a371393af9
BLAKE2b-256 ccc80d830a45681642b1c9d31a8bf124c59a40c4cabc8c3cd7d86d6452805f24

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