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author | acxz | 2020-05-13 16:23:11 -0400 |
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committer | acxz | 2020-05-13 16:23:11 -0400 |
commit | 8ec25b3e846f1840e630e637a6eec3dcd4c8f910 (patch) | |
tree | bf158875cabc2abf689bd43d585d7085bd230815 | |
parent | 257bcfb71fd9849b247ca17ecdad44894066585b (diff) | |
download | aur-8ec25b3e846f1840e630e637a6eec3dcd4c8f910.tar.gz |
add opt deps
-rw-r--r-- | .SRCINFO | 22 | ||||
-rw-r--r-- | PKGBUILD | 25 |
2 files changed, 44 insertions, 3 deletions
@@ -1,7 +1,7 @@ pkgbase = python-gpytorch pkgdesc = A highly efficient and modular implementation of GPs, with GPU acceleration. Implemented in PyTorch. pkgver = 1.1.1 - pkgrel = 1 + pkgrel = 2 url = https://gpytorch.ai arch = x86_64 license = MIT @@ -9,6 +9,26 @@ pkgbase = python-gpytorch makedepends = python-setuptools depends = python depends = python-pytorch + optdepends = python-black: for [dev] module + optdepends = twine: for [dev] module + optdepends = python-pre-commit: for [dev] module + optdepends = ipython: for [docs/examples] module + optdepends = python-ipykernel: for [docs] module + optdepends = python-sphinx: for [docs] module + optdepends = python-sphinx_rtd_theme: for [docs] module + optdepends = python-nbsphinx: for [docs] module + optdepends = m2r: for [docs] module + optdepends = jupyter: for [examples] module + optdepends = python-matplotlib: for [examples] module + optdepends = python-scipy: for [examples] module + optdepends = python-torchvision: for [examples] module + optdepends = python-tqdm: for [examples] module + optdepends = python-pyro-ppl: for [pyro] module + optdepends = python-pykeops: for [keops] module + optdepends = python-flake8: for [test] module + optdepends = python-flake8-print: for [test] module + optdepends = python-pytest: for [test] module + optdepends = python-nbval: for [test] module source = python-gpytorch-1.1.1::https://github.com/cornellius-gp/gpytorch/archive/v1.1.1.tar.gz sha256sums = 8ef20659e3a077554a3582554ee39e4bed3b95902dfd4cac693328c387e2899c @@ -2,15 +2,36 @@ pkgname=python-gpytorch pkgver=1.1.1 -pkgrel=1 +pkgrel=2 pkgdesc='A highly efficient and modular implementation of GPs, with GPU acceleration. Implemented in PyTorch.' arch=('x86_64') url='https://gpytorch.ai' license=('MIT') depends=('python' 'python-pytorch') -optdepends=() makedepends=('python' 'python-setuptools') +optdepends=( + 'python-black: for [dev] module' + 'twine: for [dev] module' + 'python-pre-commit: for [dev] module' + 'ipython: for [docs/examples] module' + 'python-ipykernel: for [docs] module' + 'python-sphinx: for [docs] module' + 'python-sphinx_rtd_theme: for [docs] module' + 'python-nbsphinx: for [docs] module' + 'm2r: for [docs] module' + 'jupyter: for [examples] module' + 'python-matplotlib: for [examples] module' + 'python-scipy: for [examples] module' + 'python-torchvision: for [examples] module' + 'python-tqdm: for [examples] module' + 'python-pyro-ppl: for [pyro] module' + 'python-pykeops: for [keops] module' + 'python-flake8: for [test] module' + 'python-flake8-print: for [test] module' + 'python-pytest: for [test] module' + 'python-nbval: for [test] module' + ) source=("$pkgname-$pkgver::https://github.com/cornellius-gp/gpytorch/archive/v$pkgver.tar.gz") sha256sums=('8ef20659e3a077554a3582554ee39e4bed3b95902dfd4cac693328c387e2899c') |