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pyproject.toml
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90 lines (82 loc) · 2.21 KB
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[project]
name = "similaripy"
version = "0.6.0"
description = "High-performance KNN similarity functions in Python, optimized for sparse matrices"
authors = [{ name = "Simone Boglio", email = "bogliosimone@gmail.com" }]
license = { text = "MIT" }
readme = "README.md"
requires-python = ">=3.10"
keywords = [
"Similarity", "KNN", "Nearest Neighbors",
"Collaborative Filtering", "Normalization", "Recommender Systems"
]
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Programming Language :: Cython",
"Programming Language :: C++",
]
dependencies = [
"numpy>=1.22.4",
"scipy>=1.12.0",
]
[project.urls]
homepage = "https://github.com/bogliosimone/similaripy"
documentation = "https://bogliosimone.github.io/similaripy/"
repository = "https://github.com/bogliosimone/similaripy.git"
changelog = "https://github.com/bogliosimone/similaripy/releases"
[build-system]
requires = ["scikit-build-core>=0.10", "cython"]
build-backend = "scikit_build_core.build"
[tool.scikit-build]
minimum-version = "build-system.requires"
wheel.packages = ["similaripy"]
build-dir = "build/{wheel_tag}"
build.verbose = true
logging.level = "INFO"
[tool.scikit-build.cmake.define]
USE_OPENMP = "ON"
[project.optional-dependencies]
dev = [
"scikit-build-core",
"cmake",
"pybind11",
"cython",
"pytest",
"build",
"tox",
"mkdocs",
"mkdocs-material",
"mkdocs-material-extensions",
"mkdocstrings[python]"
]
bench = [
"pandas",
"datasets"
]
notebook = [
"jupyterlab",
"matplotlib",
"seaborn",
"pandas",
"optuna",
"umap-learn",
"scikit-learn",
"IProgress"
]
[tool.tox]
requires = ["tox>=4.19"]