2025-12-03 18:16:48 +01:00
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[package]
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2026-02-17 10:00:52 +01:00
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name = "optimiz-rs"
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2026-05-14 14:00:39 +02:00
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version = "2.0.0"
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2025-12-03 18:16:48 +01:00
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edition = "2021"
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2026-02-16 16:24:25 +01:00
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authors = ["HFThot Research Lab <contact@hfthot-lab.eu>"]
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2025-12-03 18:16:48 +01:00
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description = "High-performance optimization algorithms in Rust with Python bindings"
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license = "MIT"
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2026-02-16 16:24:25 +01:00
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repository = "https://github.com/ThotDjehuty/optimiz-r"
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2025-12-03 18:16:48 +01:00
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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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2026-05-14 22:46:26 +02:00
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exclude = [
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"examples/notebooks/*",
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"examples/*.gif",
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"examples/*.png",
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"examples/*.jpg",
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"docs/*",
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"tests/*",
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"wheels/*",
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"target/*",
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".github/*",
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"*.ipynb",
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]
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2025-12-03 18:16:48 +01:00
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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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2025-12-10 18:54:32 +01:00
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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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2025-12-03 18:16:48 +01:00
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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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2025-12-05 13:14:44 +01:00
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ndarray-linalg = { version = "0.16", features = ["openblas-system"] }
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2025-12-03 18:16:48 +01:00
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num-traits = "0.2"
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2025-12-05 13:14:44 +01:00
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rayon = "1.8"
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2025-12-03 22:08:08 +01:00
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thiserror = "1.0"
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ordered-float = "4.2"
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2025-12-05 13:14:44 +01:00
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statrs = "0.17"
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2025-12-03 22:08:08 +01:00
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[features]
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2026-02-16 16:24:25 +01:00
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default = []
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2025-12-10 18:54:32 +01:00
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python-bindings = ["pyo3", "numpy"]
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2025-12-05 13:14:44 +01:00
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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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