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# Maintainer: Rich Li <rich@dranek.com>
pkgname='python-xarray'
pkgver=0.8.1
pkgrel=1
pkgdesc="N-D labeled arrays and datasets in Python"
url="http://xarray.pydata.org"
arch=('any')
license=('Apache')
makedepends=('python-setuptools')
depends=('python-numpy' 'python-pandas')
optdepends=('python-netcdf4: NetCDF4 support'
'python-bottleneck: Faster NaN operations'
'python-scipy: OPeNDAP support'
'python-matplotlib: Plotting support'
'python-dask: Enable out-of-core parallel computation')
checkdepends=('python-pytest')
replaces=('python-xray')
#source=(https://pypi.python.org/packages/source/x/xarray/xarray-"$pkgver".tar.gz)
# I'm using the Github source instead of the PyPI source since the Github source includes the data files used for testing
source=(https://github.com/pydata/xarray/archive/v"$pkgver".tar.gz)
md5sums=('390d6258b33f887b04fa1578af90a608')
sha1sums=('6ee9f6cecef9ff1e98e3e11d82583d3a028da4d4')
sha256sums=('6ba3884c090f59ea85d0e00dd169fefcfdfc5afc29a3f3225beb97a591e9e304')
build() {
cd "$srcdir/xarray-$pkgver"
python setup.py build
}
check() {
cd "$srcdir/xarray-$pkgver"
py.test xarray
}
package() {
cd "$srcdir/xarray-$pkgver"
python setup.py install --prefix=/usr --root="$pkgdir/" --optimize=1
}
# vim:set ts=2 sw=2 et:
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