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# Maintainer: Rich Li <rich@dranek.com>
pkgname='python-xray'
pkgver=0.6.0
pkgrel=1
pkgdesc="N-D labeled arrays and datasets in Python"
url="https://pypi.python.org/pypi/xray"
arch=('any')
license=('Apache')
makedepends=('python-setuptools')
depends=('python-numpy' 'python-pandas')
optdepends=('python-netcdf4: NetCDF4 support'
'python-bottleneck: Faster NaN operations'
'python-cyordereddict: Speed up most internal operations'
'python-scipy: OPeNDAP support')
checkdepends=('python-nose')
#source=(https://pypi.python.org/packages/source/x/xray/xray-"$pkgver".tar.gz)
# I'm using the Github source instead of the PyPI source since the Github source includes the data files used for testing
source=(https://github.com/xray/xray/archive/v"$pkgver".tar.gz)
md5sums=('b9baf91aa9f6f062eb22bc99b4fe2745')
sha1sums=('3241c32884f4ca78244c1071ab0035e63e8bb557')
sha256sums=('556e3245ff598e2ec789c8212c622060db54f6ebfe1346dbb5439bf704ae5742')
build() {
cd "$srcdir/xray-$pkgver"
python setup.py build
}
check() {
cd "$srcdir/xray-$pkgver"
nosetests
}
package() {
cd "$srcdir/xray-$pkgver"
python setup.py install --prefix=/usr --root="$pkgdir/" --optimize=1
}
# vim:set ts=2 sw=2 et:
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