A combinatorial optimization python package.
Install
pip install puan
Usage
Given a predefined matrix, you construct a polyhedron as you would with a numpy array. Reduce its rows by following
>>> import puan
>>> polyhedron = puan.ge_polyhedron([
[ 0,-2, 1, 1],
[ 0, 1, 1, 1]
])
>>> polyhedron.reduce(*polyhedron.reducable_rows_and_columns())
ge_polytope([[ 0, -2, 1, 1]])
Release files for puan 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| puan-0.5.0.tar.gz | 41.8 kB | Details |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| puan-0.5.0-cp39-cp39-macosx_10_15_x86_64.whl | CPython 3.9 | CPython 3.9 | macOS 10.15+ x86-64 | Details |
| puan-0.5.0-cp38-cp38-macosx_10_15_x86_64.whl | CPython 3.8 | CPython 3.8 | macOS 10.15+ x86-64 | Details |
Total release size: 134.8 kB
Release files / puan-0.5.0.tar.gz
| Download URL | puan-0.5.0.tar.gz |
|---|---|
| Size | 41.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
|
Release files / puan-0.5.0-cp39-cp39-macosx_10_15_x86_64.whl
| Download URL | puan-0.5.0-cp39-cp39-macosx_10_15_x86_64.whl |
|---|---|
| Size | 46.5 kB |
| Tags | CPython 3.9 macOS 10.15+ x86-64 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/4.0.1 CPython/3.11.1
|
Release files / puan-0.5.0-cp38-cp38-macosx_10_15_x86_64.whl
| Download URL | puan-0.5.0-cp38-cp38-macosx_10_15_x86_64.whl |
|---|---|
| Size | 46.5 kB |
| Tags | CPython 3.8 macOS 10.15+ x86-64 |
|
SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/4.0.1 CPython/3.11.1
|
