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author | Rich Li | 2017-11-20 13:49:40 -0800 |
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committer | Rich Li | 2017-11-20 13:49:40 -0800 |
commit | 8183c4e0a4a79dd921fd3986d9dc1b72aff58ed1 (patch) | |
tree | df927e8a0156bbf90b12517329d9ad0489932a3f | |
parent | a35ee7cab59c55b7f08bc8138ad9f2cdb5955712 (diff) | |
download | aur-8183c4e0a4a79dd921fd3986d9dc1b72aff58ed1.tar.gz |
Update to version 0.10.0
-rw-r--r-- | .SRCINFO | 10 | ||||
-rw-r--r-- | PKGBUILD | 13 |
2 files changed, 10 insertions, 13 deletions
@@ -1,6 +1,6 @@ pkgbase = python-xarray pkgdesc = N-D labeled arrays and datasets in Python - pkgver = 0.9.6 + pkgver = 0.10.0 pkgrel = 1 url = http://xarray.pydata.org arch = any @@ -15,10 +15,10 @@ pkgbase = python-xarray optdepends = python-matplotlib: Plotting support optdepends = python-dask: Enable out-of-core parallel computation replaces = python-xray - source = python-xarray-0.9.6.tar.gz::https://github.com/pydata/xarray/archive/v0.9.6.tar.gz - md5sums = 980aa689524338de077d8f889e901327 - sha1sums = f49c7e9f5c2cf42a3c3427815c0bd08dcaefa135 - sha256sums = 4b68f2fa5158123f87b158015374e035471dbe00d10e445cb43a5e4ab11045e1 + source = python-xarray-0.10.0.tar.gz::https://github.com/pydata/xarray/archive/v0.10.0.tar.gz + md5sums = 978823622e0acbd2fcc7ffd01857685a + sha1sums = 591f1b0bb82716de7a9325078d0a461178006357 + sha256sums = 9191838f82467b3e2cc11670f6573202548ac9562d6d3abba6bcba34fc1b66f0 pkgname = python-xarray @@ -1,6 +1,6 @@ # Maintainer: Rich Li <rich@dranek.com> pkgname='python-xarray' -pkgver=0.9.6 +pkgver=0.10.0 pkgrel=1 pkgdesc="N-D labeled arrays and datasets in Python" url="http://xarray.pydata.org" @@ -19,19 +19,16 @@ replaces=('python-xray') #source=(https://pypi.python.org/packages/source/x/xarray/xarray-"$pkgver".tar.gz) # I'm using the Github source instead of the PyPI source since the Github source includes the data files used for testing source=("$pkgname-$pkgver.tar.gz::https://github.com/pydata/xarray/archive/v$pkgver.tar.gz") -md5sums=('980aa689524338de077d8f889e901327') -sha1sums=('f49c7e9f5c2cf42a3c3427815c0bd08dcaefa135') -sha256sums=('4b68f2fa5158123f87b158015374e035471dbe00d10e445cb43a5e4ab11045e1') +md5sums=('978823622e0acbd2fcc7ffd01857685a') +sha1sums=('591f1b0bb82716de7a9325078d0a461178006357') +sha256sums=('9191838f82467b3e2cc11670f6573202548ac9562d6d3abba6bcba34fc1b66f0') build() { cd "$srcdir/xarray-$pkgver" python setup.py build } -# NB: the test suite currently fails due to a recent change in Numpy (from 1.11 -# to 1.12), which in turn affected bottleneck. Once bottleneck releases the -# next version (current is 1.2.0), then it should be fixed. See -# https://github.com/pydata/xarray/issues/1208. +# NB: the default test suite seems to require dask being installed # check() { # cd "$srcdir/xarray-$pkgver" # pytest xarray |