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pkgbase = python-scikit-surprise
pkgdesc = Python scikit for building and analyzing recommender systems
pkgver = 1.1.0
pkgrel = 2
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-1.1.0.tar.gz::https://github.com/NicolasHug/Surprise/archive/v1.1.0.tar.gz
sha512sums = d8f28786029079ac9db52c61c4b5bf30150da96718e292cad90bb58f7d25173391e8686808d3b4e746987059057d21943570ed4be2ad8a1c3e8046e764b93600
pkgname = python-scikit-surprise
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