Primal LAP
A Primal Method for the Assignment Problem ( M. L. Balinski, R. E. Gomory,)
pip install balinski-and-gomory
from balinski_and_gomory import solve_slow, solve_hylac
import torch
n = 5
costs = torch.randint(1, 100, size=(n, n), dtype=torch.uint32)
print("Input cost matrix:")
print(costs)
print(solve_hylac(costs))
print(solve_slow(costs))
1 maintainer
Metadata
1 maintainer
Release files for balinski-and-gomory 0.0.8
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| balinski_and_gomory-0.0.8.tar.gz | 1.2 MB | Without provenance | Details for balinski_and_gomory-0.0.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| balinski_and_gomory-0.0.8-py3-none-any.whl | Python 3 | none | any | Details for balinski_and_gomory-0.0.8-py3-none-any.whl |
Total release size: 2.5 MB
Release files / balinski_and_gomory-0.0.8.tar.gz
| Download URL | balinski_and_gomory-0.0.8.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
bdcddd6b5b83dd75231afc53d8b8c4e5059dfba06e3362f5eb04e41a2fed30ef
|
|
BLAKE2b-256 checksum How to use checksums |
37e0d4c279fd3e3489e3715d71a9f2904de8ae44f54384de685bdfa9398489de
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Release files / balinski_and_gomory-0.0.8-py3-none-any.whl
| Download URL | balinski_and_gomory-0.0.8-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
63486d36bbdf905f71a316f67e933aef4087e5a0d67b4b70f6f44af1d95d9658
|
|
BLAKE2b-256 checksum How to use checksums |
5c0519db4f68b7681f6e7a7854c0218f329b23c5566ef612532ef51a74793c14
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Security for balinski-and-gomory 0.0.8
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
