blob: bc47af3cb0149addc25e668f3a942b2db55631e2 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
|
# Maintainer: Philipp A. <flying-sheep@web.de>
pkgname=scanpy
pkgver=1.9.6
pkgrel=2
pkgdesc='Single-Cell Analysis in Python'
arch=(any)
provides=(scanpy python-scanpy)
url='https://github.com/theislab/scanpy'
license=(BSD)
depends=(
'python-anndata>=0.7.4'
'python-numpy>=1.17.0'
'python-matplotlib>=3.4'
'python-pandas>=1.1.1'
'python-scipy>=1.4'
python-seaborn
python-h5py
python-tqdm
'python-scikit-learn>=0.24'
'python-statsmodels>=0.10.0'
python-patsy
'python-networkx>=2.3'
python-natsort
python-joblib
'python-numba>=0.41.0'
'python-umap-learn>=0.3.10'
python-packaging
python-session-info
)
optdepends=(
'python-igraph: PAGA support (also transitively needed for Louvain/Leiden)'
'python-louvain-igraph: Louvain clustering'
'python-leidenalg: leiden community detection'
'python-bbknn: Batch balanced KNN (batch correction)'
'python-rapids: GPU-driven calculation of neighbors'
'python-magic-impute: MAGIC imputation method'
'python-skmisc: For seurat_v3 highly_variable_genes method'
'python-harmonypy: Harmony dataset integration algorithm'
'python-scanorama: Scanorama dataset integration algorithm'
'python-scrublet: Cell doublet detection'
'rapids-cudf: NVIDIA RAPIDS acceleration'
'rapids-cuml: NVIDIA RAPIDS acceleration'
'rapids-cugraph: NVIDIA RAPIDS acceleration'
'python-dask: Dask parallelization'
)
makedepends=(python-hatch python-hatch-vcs python-build python-installer python-wheel)
source=("https://files.pythonhosted.org/packages/source/${pkgname::1}/$pkgname/$pkgname-$pkgver.tar.gz")
sha256sums=('b2f24e6f220cb9d4d893b24f6899ba1a14cf2fef50b7e05bb37980c78de8a013')
build() {
cd "$pkgname-$pkgver"
python -m build --wheel --no-isolation
}
package() {
cd "$pkgname-$pkgver"
python -m installer --destdir="$pkgdir" dist/*.whl
}
|