ThotDjehuty
1799a2fa7b
- Bump Cargo.toml + pyproject.toml from 2.0.0-alpha.1 to 2.0.0. - Restore PyPI distribution name to 'optimizr' (continuity with v1.4.x). Rust crate stays 'optimiz-rs'; both expose Python module 'optimizr'. - README: new 'What's New in v2.0.0' section listing every advertised primitive (solve_volterra, solve_fractional_ode, linear_bsde_constant_coeffs, mean_reverting_mckean_vlasov, historical_var_py, etc.) with corrected install command 'pip install optimizr'. - tests/test_v2_api.py: 20-test non-regression suite with analytic ground-truth checks for every v2 primitive plus a parametrised guard over the v1.x public surface. - CHANGELOG: 2.0.0 entry documenting the release. Build verification: - maturin develop --release --features python-bindings -> optimizr-2.0.0 wheel built - pytest tests/test_v2_api.py: 20 passed, 0 failed - cargo test --lib --no-default-features: 124 passed; 5 pre-existing failures (mrsjd, ou_estimator, hurst_random_walk, hjb_solver_symmetry, regime_switching) unchanged since v1.1.
43 lines
1.0 KiB
TOML
43 lines
1.0 KiB
TOML
[package]
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name = "optimiz-rs"
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version = "2.0.0"
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edition = "2021"
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authors = ["HFThot Research Lab <contact@hfthot-lab.eu>"]
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description = "High-performance optimization algorithms in Rust with Python bindings"
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license = "MIT"
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repository = "https://github.com/ThotDjehuty/optimiz-r"
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keywords = ["optimization", "machine-learning", "statistics", "numerical", "scientific"]
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categories = ["algorithms", "science", "mathematics"]
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readme = "README.md"
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[lib]
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name = "optimizr"
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crate-type = ["cdylib", "rlib"]
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[dependencies]
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pyo3 = { version = "0.21", features = ["extension-module", "abi3-py38"], optional = true }
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numpy = { version = "0.21", optional = true }
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rand = "0.8"
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rand_distr = "0.4"
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ndarray = "0.15"
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ndarray-linalg = { version = "0.16", features = ["openblas-system"] }
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num-traits = "0.2"
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rayon = "1.8"
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thiserror = "1.0"
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ordered-float = "4.2"
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statrs = "0.17"
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[features]
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default = []
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python-bindings = ["pyo3", "numpy"]
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parallel = []
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[dev-dependencies]
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criterion = "0.5"
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approx = "0.5"
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[profile.release]
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opt-level = 3
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lto = true
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codegen-units = 1
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