pkgbase = scanpy
	pkgdesc = Single-Cell Analysis in Python
	pkgver = 1.9.1
	pkgrel = 1
	url = https://github.com/theislab/scanpy
	arch = any
	license = BSD
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-flit-core
	makedepends = python-setuptools-scm
	depends = python-anndata>=0.7.4
	depends = python-numpy>=1.17.0
	depends = python-matplotlib>=3.4
	depends = python-pandas>=1.0
	depends = python-scipy>=1.4
	depends = python-seaborn
	depends = python-h5py
	depends = python-tqdm
	depends = python-scikit-learn>=0.21.2
	depends = python-statsmodels>=0.10.0
	depends = python-patsy
	depends = python-networkx>=2.3
	depends = python-natsort
	depends = python-joblib
	depends = python-numba>=0.41.0
	depends = python-umap-learn>=0.3.10
	depends = python-packaging
	depends = python-sinfo
	optdepends = python-louvain-igraph: Louvain clustering
	optdepends = python-leidenalg: leiden community detection
	optdepends = python-bbknn: Batch balanced KNN (batch correction)
	optdepends = python-rapids: GPU-driven calculation of neighbors
	optdepends = python-magic-impute: MAGIC imputation method
	optdepends = python-skmisc: For seurat_v3 highly_variable_genes method
	optdepends = python-harmonypy: Harmony dataset integration algorithm
	optdepends = python-scanorama: Scanorama dataset integration algorithm
	optdepends = python-scrublet: Cell doublet detection
	provides = scanpy
	provides = python-scanpy
	source = https://files.pythonhosted.org/packages/source/s/scanpy/scanpy-1.9.1.tar.gz
	sha256sums = 00c9a83b649da7e0171c91e9a08cff632102faa760614fd05cd4d1dbba4eb541

pkgname = scanpy