%FILENAME%
python-awkward-2.8.5-1-x86_64.pkg.tar.zst

%NAME%
python-awkward

%BASE%
python-awkward

%VERSION%
2.8.5-1

%DESC%
Manipulate jagged, chunky, and/or bitmasked arrays as easily as Numpy

%CSIZE%
1836556

%ISIZE%
14225738

%SHA256SUM%
f25a86d81b865cdafe583d8a3b9ce4ea529b585b499ab0395b31010dfcc953c5

%PGPSIG%
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

%URL%
https://github.com/scikit-hep/awkward

%LICENSE%
BSD-3-Clause

%ARCH%
x86_64

%BUILDDATE%
1751913448

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

%DEPENDS%
gcc-libs
glibc
python
python-fsspec
python-numpy
python-packaging
python-typing_extensions

%OPTDEPENDS%
cuda: CUDA support
python-numba: for using in Numba JIT functions
python-numexpr: numexpr connector
python-pandas: pandas connector
python-pyarrow: pyArrow connector
root: rdataframe connector
python-awkward-docs: documentation

%MAKEDEPENDS%
cmake
cuda
doxygen
git
python-build
python-hatch-fancy-pypi-readme
python-hatchling
python-installer
python-nox
python-scikit-build-core
python-sphinx
python-sphinx_rtd_theme

%CHECKDEPENDS%
pybind11
python-hist
python-numba
python-numexpr
python-pandas
python-pyaml
python-pyarrow
python-pytest
python-scikit-hep-testdata
python-vector
root

