Swarmist
A Domain Specific Language (DSL) for building metaheuristic algorithms to solve single-objective continuous optimization over real domains.
Examples
Examples can be found in swarmist/examples.
Installation
Swarmist is available at the Python Package Index.
# PyPI
pip install swarmist
Swarmist supports Python 3.10 or newer.
Documentation
Coming soon...
Metadata
Release files for swarmist 0.0.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| swarmist-0.0.6.tar.gz | 29.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| swarmist-0.0.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 73.8 kB
Release files / swarmist-0.0.6.tar.gz
| Download URL | swarmist-0.0.6.tar.gz |
|---|---|
| Size | 29.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|
Release files / swarmist-0.0.6-py3-none-any.whl
| Download URL | swarmist-0.0.6-py3-none-any.whl |
|---|---|
| Size | 43.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.3
|