Files
PolySolve/pyproject.toml
Jonathan Rampersad c3b3513e79
All checks were successful
Publish Python Package to PyPI / deploy (push) Successful in 18s
feat(ga, api): Implement advanced GA strategy and refactor API for v0.4.0 (#16)
This commit introduces a major enhancement to the genetic algorithm's convergence logic and refactors key parts of the API for better clarity and usability.

- **feat(ga):** Re-implements the GA solver (CPU & CUDA) to use a more robust strategy based on Elitism, Crossover, and Mutation. This replaces the previous, less efficient model and is designed to significantly improve accuracy and convergence speed.

- **feat(api):** Updates `GA_Options` to expose the new GA strategy parameters:
    - Renames `mutation_percentage` to `mutation_strength` for clarity.
    - Adds `elite_ratio`, `crossover_ratio`, and `mutation_ratio`.
    - Includes a `__post_init__` validator to ensure ratios are valid.

- **refactor(api):** Moves `quadratic_solve` from a standalone function to a method of the `Function` class (`f1.quadratic_solve()`). This provides a cleaner, more object-oriented API.

- **docs:** Updates the README, `GA_Options` doc page, and `quadratic_solve` doc page to reflect all API changes, new parameters, and updated usage examples.

- **chore:** Bumps version to 0.4.0.

Reviewed-on: #16
Co-authored-by: Jonathan Rampersad <rampersad.jonathan@gmail.com>
Co-committed-by: Jonathan Rampersad <rampersad.jonathan@gmail.com>
2025-10-27 14:20:56 +00:00

49 lines
1.5 KiB
TOML

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"
[project]
# --- Core Metadata ---
name = "polysolve"
version = "0.4.0"
authors = [
{ name="Jonathan Rampersad", email="jonathan@jono-rams.work" },
]
description = "A Python library for representing, manipulating, and solving exponential functions using analytical methods and genetic algorithms, with optional CUDA acceleration."
readme = "README.md"
requires-python = ">=3.8"
license = { file="LICENSE" }
keywords = ["math", "polynomial", "genetic algorithm", "cuda", "equation solver"]
# --- Classifiers ---
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Scientific/Engineering :: Mathematics",
]
# --- Dependencies ---
dependencies = [
"numpy>=1.21"
]
# --- Optional Dependencies (Extras) ---
[project.optional-dependencies]
cuda12 = ["cupy-cuda12x"]
dev = ["pytest"]
[project.urls]
Homepage = "https://polysolve.jono-rams.work"
Documentation = "https://polysolve.jono-rams.work/docs"
Repository = "https://github.com/jono-rams/PolySolve"
"Bug Tracker" = "https://github.com/jono-rams/PolySolve/issues"