Melvin Avarez
79f51e4775
Major Features: • Comprehensive Differential Evolution with 5 strategies (rand1, best1, currenttobest1, rand2, best2) • Adaptive jDE algorithm for self-tuning F and CR parameters • Convergence tracking with history records and early stopping • Mathematical toolkit module (780 lines): gradient, hessian, jacobian, statistics, linear algebra • Optimal control framework: HJB solvers, regime switching, jump diffusion, MRSJD • Sparse optimization: Sparse PCA, Box-Tao decomposition, ADMM, Elastic Net • Rayon parallelization infrastructure (ready for pure Rust objectives) Performance: • 74-88× speedup for DE vs SciPy • 50-100× speedup overall vs pure Python Refactoring & Cleanup: • Removed 5 legacy files (de_refactored.rs, hmm_legacy.rs, hmm_refactored.rs, mcmc_legacy.rs, mcmc_refactored.rs) • Modular architecture with trait-based design • Generic implementations (no domain-specific code) • Updated Python bindings for new DE API • Fixed ALL compilation warnings (0 errors, 0 warnings) Documentation: • Updated README with v0.2.0 features and benchmarks • Created RELEASE_NOTES_v0.2.0.md (comprehensive changelog) • New optimal control tutorial notebook (03_optimal_control_tutorial.ipynb) • Updated API examples in README • Created test_release.py for release validation Version Bumps: • Cargo.toml: 0.1.0 → 0.2.0 • pyproject.toml: 0.1.0 → 0.2.0 • python/__init__.py: 0.1.0 → 0.2.0 Breaking Changes: • DE API: mutation_factor/crossover_rate → f/cr • DE API: use_adaptive_jde → adaptive • DE API: strategy names simplified (e.g., 'rand/1/bin' → 'rand1') • DE returns: (x, fun) tuple instead of dict-like object Known Items (Post-Release): • Mathematical toolkit functions available in Rust but not yet exposed to Python • MCMC Python wrapper needs API update to match new Rust implementation • Tutorial notebooks need DE API updates Tests: 34 Rust tests passing, core Python functionality validated with test_release.py
79 lines
2.0 KiB
TOML
79 lines
2.0 KiB
TOML
[build-system]
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requires = ["maturin>=1.0,<2.0"]
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build-backend = "maturin"
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[project]
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name = "optimizr"
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version = "0.2.0"
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description = "High-performance optimization algorithms in Rust with Python bindings"
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authors = [
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{name = "Your Name", email = "your.email@example.com"}
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]
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readme = "README.md"
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license = {text = "MIT"}
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requires-python = ">=3.8"
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Rust",
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"Topic :: Scientific/Engineering",
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"Topic :: Scientific/Engineering :: Mathematics",
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"Topic :: Software Development :: Libraries :: Python Modules",
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]
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dependencies = [
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"numpy>=1.20.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0",
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"pytest-cov>=4.0",
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"black>=23.0",
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"ruff>=0.1.0",
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"mypy>=1.0",
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]
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scipy = [
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"scipy>=1.7.0",
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]
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all = [
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"optimizr[dev,scipy]",
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]
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[project.urls]
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Homepage = "https://github.com/yourusername/optimiz-r"
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Documentation = "https://github.com/yourusername/optimiz-r/blob/main/README.md"
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Repository = "https://github.com/yourusername/optimiz-r"
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Issues = "https://github.com/yourusername/optimiz-r/issues"
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[tool.maturin]
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python-source = "python"
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module-name = "optimizr._core"
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features = ["pyo3/extension-module"]
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[tool.pytest.ini_options]
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testpaths = ["tests"]
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python_files = "test_*.py"
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python_functions = "test_*"
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[tool.black]
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line-length = 100
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target-version = ['py38', 'py39', 'py310', 'py311', 'py312']
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[tool.ruff]
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line-length = 100
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target-version = "py38"
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[tool.mypy]
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python_version = "3.8"
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warn_return_any = true
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warn_unused_configs = true
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disallow_untyped_defs = true
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