pyproject.toml

[build-system]
requires = ["setuptools"]
build-backend = "setuptools.build_meta"

[project]
name = "sansa"
version = "1.1.0"
description = "Scalable collaborative filtering model based on sparse approximate inverse"
dependencies = [
  "numba >= 0.57.0",
  "numpy >= 1.22.3",
  "scikit-sparse >= 0.4.8",
  "scipy >= 1.7.3",
]
requires-python = ">= 3.10"
authors = [
  {name = "Martin Spisak", email = "masp430@gmail.com"},
  {name = "Radek Bartyzal", email = "radek.bartyzal@glami.cz"},
  {name = "Antonin Hoskovec", email = "antonin.hoskovec@glami.cz"},
  {name = "Ladislav Peska", email = "ladislav.peska@matfyz.cuni.cz"},
  {name = "Miroslav Tuma", email = "miroslav.tuma@mff.cuni.cz"},
]
maintainers = [
  {name = "Martin Spisak", email = "masp430@gmail.com"},
]
readme = "README.md"
license = {file = "LICENSE"}
keywords = ["recommendation", "collaborative filtering", "sparse matrix", "sparse approximate inverse"]
classifiers = [
  "Development Status :: 4 - Beta",
  "Programming Language :: Python :: 3",
  "Programming Language :: Python :: 3.10",
  "Programming Language :: Python :: 3.11",
  "Programming Language :: Python :: 3.12",
  "Operating System :: OS Independent",
  "License :: OSI Approved :: Apache Software License",
  "Intended Audience :: Developers",
  "Intended Audience :: Science/Research",
  "Topic :: Internet :: WWW/HTTP :: Indexing/Search",
  "Topic :: Scientific/Engineering",
  "Topic :: Scientific/Engineering :: Artificial Intelligence",
  "Topic :: Scientific/Engineering :: Mathematics",
]

[project.urls]
Homepage = "https://github.com/glami/sansa"
Repository = "https://github.com/glami/sansa.git"
Issues = "https://github.com/glami/sansa/issues"

[project.optional-dependencies]
mkl = ["sparse_dot_mkl"]
dev = ["black", "isort"]
demo = ["jupyter", "matplotlib", "pandas", "pyarrow", "ipyplot", "scikit-learn"]