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author | David McInnis | 2018-06-14 07:57:21 -0700 |
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committer | David McInnis | 2018-06-14 07:57:21 -0700 |
commit | 42da1b360ee48f86d4f4bbea6f836b46fca2aaa1 (patch) | |
tree | 5207104de2f6b9aa562c63897f0a756058b1a59b | |
parent | c290171bbe52e2e0abb5c38c438f86bb19d4257d (diff) | |
download | aur-42da1b360ee48f86d4f4bbea6f836b46fca2aaa1.tar.gz |
added optdepends array
-rw-r--r-- | .SRCINFO | 6 | ||||
-rw-r--r-- | PKGBUILD | 7 |
2 files changed, 6 insertions, 7 deletions
@@ -1,20 +1,20 @@ pkgbase = python-keras pkgdesc = Deep Learning library (convnets, recurrent neural networks, and more) pkgver = 2.2.0 - pkgrel = 6 + pkgrel = 7 url = https://github.com/fchollet/keras arch = any license = MIT + makedepends = python-setuptools makedepends = python-numpy makedepends = python-scipy makedepends = python-h5py makedepends = python-yaml + makedepends = python2-setuptools makedepends = python2-numpy makedepends = python2-scipy makedepends = python2-h5py makedepends = python2-yaml - depends = python - depends = python2 optdepends = python-keras-preprocessing: Utilities for working with image data, text data, and sequence data. optdepends = python-keras-applications: Reference implementations of popular deep learning models. optdepends = python2-keras-preprocessing @@ -5,14 +5,13 @@ pkgbase="python-keras" pkgname=("python-keras" "python2-keras") _pkgname="keras" pkgver="2.2.0" -pkgrel=6 +pkgrel=7 pkgdesc="Deep Learning library (convnets, recurrent neural networks, and more)" arch=('any') url="https://github.com/fchollet/keras" license=('MIT') -depends=('python' 'python2') -makedepends=('python-numpy' 'python-scipy' 'python-h5py' 'python-yaml' - 'python2-numpy' 'python2-scipy' 'python2-h5py' 'python2-yaml' +makedepends=('python-setuptools' 'python-numpy' 'python-scipy' 'python-h5py' 'python-yaml' + 'python2-setuptools' 'python2-numpy' 'python2-scipy' 'python2-h5py' 'python2-yaml' ) optdepends=('python-keras-preprocessing: Utilities for working with image data, text data, and sequence data.' 'python-keras-applications: Reference implementations of popular deep learning models.' |