.SRCINFO


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pkgbase = python-giotto-tda
	pkgdesc = A high performance topological machine learning toolbox in Python
	pkgver = 0.4.0
	pkgrel = 0
	url = https://github.com/giotto-ai/giotto-tda
	arch = any
	license = AGPL
	makedepends = python-setuptools
	depends = python
	depends = python-numpy
	depends = python-scipy
	depends = python-joblib
	depends = python-scikit-learn
	depends = python-igraph
	depends = python-matplotlib
	depends = python-plotly
	depends = python-ipywidgets
	options = !emptydirs
	source = https://github.com/giotto-ai/giotto-tda/archive/v0.4.0.tar.gz
	source = eigen::https://gitlab.com/libeigen/eigen/repository/25424d91f60a9f858e7dc1c7936021cc1dd72019/archive.zip
	source = hera::https://github.com/grey-narn/hera/archive/2c5e6c606ee37cd68bbe9f9915dba99f7677dd87.tar.gz
	source = pybind11::https://github.com/pybind/pybind11/archive/8fa70e74838e93f0db38417f3590ba792489b958.tar.gz
	source = gudhi-devel::https://github.com/giotto-ai/gudhi-devel/archive/a265b030effa9b34a99a09b0e1b5073e8bb50cb6.tar.gz
	source = ripser::https://github.com/scikit-tda/ripser.py/archive/f784e1f381094219316855c4dc6c2abd494a8a07.tar.gz
	source = robinhood::https://github.com/martinus/robin-hood-hashing/archive/c0801327ea589d8f0f941aa5d3ca4f9f770f4ea9.tar.gz
	sha256sums = b003676875a2e8984ba59360947024bc5737a746f4caeb0727c7476170e64813
	sha256sums = 20ed040d961815f55ed1a43e8fdfca36611b7337c7632c4c9094c5e0781935ea
	sha256sums = 81ec8065587edac9ff5831f9a56a2deb0aaf1626c8358b1553df0e5029edd91f
	sha256sums = 7b350a5c42e598f9e72b5faa06f3b472924639c859cdc0e53fccdf84f84a91ec
	sha256sums = 61aec3fa7ecf7e121a32d621077fe261eb436b205954ad26b6f61027064f2cc9
	sha256sums = 03a3b3a4a51d8cf44187bcdc6beb96914a7f9d0f541ce6f7292970cd511bb51d
	sha256sums = 31b7f43dff9ad7aaa15936dd530839ac71640f98cb02b3144bd68ed7efed10ce

pkgname = python-giotto-tda