.SRCINFO


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pkgbase = python-scikit-surprise
	pkgdesc = Python scikit for building and analyzing recommender systems
	pkgver = 1.1.4
	pkgrel = 1
	url = https://github.com/NicolasHug/Surprise
	arch = any
	license = BSD-3-Clause
	makedepends = python-setuptools
	makedepends = cython
	depends = python-joblib
	depends = python-numpy
	depends = python-scipy
	depends = python-six
	optdepends = flake8: code linting to comply with contributing standards
	optdepends = python-pandas: dataframe handling
	optdepends = python-pytest: test suite
	optdepends = python-sphinx: documentation generator
	optdepends = python-sphinx_rtd_theme: Read The Docs theme for documentation generator
	optdepends = python-sphinxcontrib-spelling: spelling extension for documentation generator
	source = python-scikit-surprise-1.1.4.tar.gz::https://github.com/NicolasHug/Surprise/archive/v1.1.4.tar.gz
	sha512sums = ecb10c3da63ff5aa6968fd73fb2c23503e977309d47cad8e0be2d086d0a867b02a266933d0d5238d598410668c0d15450a338cc748ed5a75bca58048675ce75f

pkgname = python-scikit-surprise