%FILENAME%
python-polars-1.40.1-1-x86_64.pkg.tar.zst

%NAME%
python-polars

%BASE%
python-polars

%VERSION%
1.40.1-1

%DESC%
Blazingly fast DataFrames library using Apache Arrow Columnar Format as memory model

%CSIZE%
1284444

%ISIZE%
12908512

%SHA256SUM%
2ae8f3848c4057f9e873c64bce1c3ff0718c8527f5ce3d094d832eb968c08c29

%PGPSIG%
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

%URL%
https://www.pola.rs/

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1777081147

%PACKAGER%
capezotte <capezotte@artixlinux.org>

%DEPENDS%
python
python-numpy
python-polars-runtime

%OPTDEPENDS%
python-pandas: for interoperability with pandas frames
python-pyarrow: for interoperability with arrow types
python-pytz: to enable conversion to python datetimes with timezones
python-fsspec: to transparently open files locally or remotely

%MAKEDEPENDS%
maturin
rustup
python-installer
python-build
python-wheel
python-setuptools

%CHECKDEPENDS%
python-pytest
python-pytest-xdist
python-matplotlib
python-hypothesis
python-pandas
python-pyarrow
python-pydantic
python-fsspec
python-sqlalchemy
python-zstandard
python-cloudpickle
python-aiosqlite
python-boto3
python-orjson

