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elkai - a Python library for solving TSP problems
- based on LKH by Keld Helsgaun: with proven optimal solutions up to N=315 and more accurate results than Google's OR tools
- asymmetric and symmetric travelling salesman problems support
- clean and simple API: get results with one line calls
Installation
💾 To install it run pip install elkai
Example usage
import elkai
cities = elkai.Coordinates2D({
'city1': (0, 0),
'city2': (0, 4),
'city3': (5, 0)
})
print(cities.solve_tsp())
import elkai
cities = elkai.DistanceMatrix([
[0, 4, 0],
[0, 0, 5],
[0, 0, 0]
])
print(cities.solve_tsp())
Note
solve_int_matrix and solve_float_matrix are deprecated in v1. Also, they don't contain the departure to origin in the result by default.
License
The LKH native code by Helsgaun is released for non-commercial use only. Therefore the same restriction applies to elkai, which is explained in the LICENSE file.
How it works internally
- We refactored LKH such that it doesn't have global state and you don't need to restart the program in order to run another input problem
- We added a hook in ReadProblem that allows reading problems from memory instead of files
- We read the solution from the
Tourvariable and put it in a PyObject (Python list). - ✓ Valgrind passed on
d3d8c12.
⚠️ elkai takes the global interpreter lock (GIL) during the solving phase which means two threads cannot solve problems at the same time. If you want to run other workloads at the same time, you have to run another process - for example by using the multiprocessing module.
If there isn't a prebuilt wheel for your platform, you'll have to follow the scikit-build process.
2 maintainers
Metadata
2 maintainers
Release files for elkai 2.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| elkai-2.0.1.tar.gz | 227.7 kB | Details |
Built distributions (wheels)
Total release size: 5.1 MB
Release files / elkai-2.0.1.tar.gz
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|---|---|
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No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0rc2
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Release files / elkai-2.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | elkai-2.0.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 229.3 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0rc2
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Release files / elkai-2.0.1-cp37-cp37m-macosx_10_16_x86_64.whl
| Download URL | elkai-2.0.1-cp37-cp37m-macosx_10_16_x86_64.whl |
|---|---|
| Size | 204.9 kB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.16+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.0rc2
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