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pkgbase = python-dynesty
	pkgdesc = A dynamic nested sampling package for computing Bayesian posteriors and evidences.
	pkgver = 3.0.0
	pkgrel = 2
	url = https://github.com/joshspeagle/dynesty
	arch = any
	license = MIT
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-wheel
	depends = python-numpy
	depends = python-scipy
	depends = python-matplotlib
	optdepends = python-h5py: allow for a nice progress bar
	optdepends = python-tqdm: save likelihood evaluation history
	conflicts = python-dynesty-git
	source = https://files.pythonhosted.org/packages/source/d/dynesty/dynesty-3.0.0.tar.gz
	sha256sums = 806c83b21904cf7df73c2478a9e0e8a2b7d811cd0d613109f3f810a7111d12b0

pkgname = python-dynesty