%FILENAME%
python-polars-1.41.2-1-x86_64.pkg.tar.zst

%NAME%
python-polars

%BASE%
python-polars

%VERSION%
1.41.2-1

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

%CSIZE%
1291904

%ISIZE%
12995887

%SHA256SUM%
2e86166aaa02fc415a36e3d3add6f0c292baec3e879b0d105e51ad4b4c892444

%PGPSIG%
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

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1780614348

%PACKAGER%
LemonPie <lemonpie@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
python-altair
python-arrow-adbc-driver-sqlite

