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pkgbase = python-gpytorch
	pkgdesc = A highly efficient and modular implementation of GPs, with GPU acceleration. Implemented in PyTorch.
	pkgver = 1.1.1
	pkgrel = 2
	url = https://gpytorch.ai
	arch = x86_64
	license = MIT
	makedepends = python
	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

pkgname = python-gpytorch