%FILENAME%
python-cupy-13.6.0-4-x86_64.pkg.tar.zst

%NAME%
python-cupy

%BASE%
python-cupy

%VERSION%
13.6.0-4

%DESC%
NumPy/SciPy-compatible array library for GPU-accelerated computing with Python

%CSIZE%
29949195

%ISIZE%
69629573

%MD5SUM%
f1196a2c06f98553c7ff98a02983df63

%SHA256SUM%
cddd1ca7825d607e10722a60f5bd63fe984b1e3066bde53b344bdd4ab8cdc2cc

%PGPSIG%
iHUEABYKAB0WIQQQlBXmkgB2Ccp+v+QAHPSBC+jZEQUCaLhz1wAKCRAAHPSBC+jZEb6tAQCJyYw8MGonrp367N7xKNUSujeY3H+HPeH8SWfMUCFX+QD+PTiCJK+Fl2wMnsiuVkI71l4eVhXV+K+Nt0xWgkUFbwY=

%URL%
https://github.com/cupy/cupy

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1756878930

%PACKAGER%
Jakub Klinkovský <lahwaacz@archlinux.org>

%DEPENDS%
cuda
gcc-libs
glibc
python
python-fastrlock
python-numpy

%OPTDEPENDS%
python-scipy: for copying sparse matrices from GPU to CPU
python-optuna: for using using Automatic Kernel Parameters Optimizations (cupyx.optimizing)
nccl: for collective multi-GPU computations

%MAKEDEPENDS%
git
cython
python-build
python-installer
python-wheel
python-setuptools
python-fastrlock
python-numpy
cuda
nccl
hip-runtime-amd
hipblas
hipcub
hipfft
hiprand
hipsparse
rccl
rocfft
rocprim
rocrand
rocsolver
rocsparse
rocthrust
roctracer

