%FILENAME%
python-polars-2.0.0-1-x86_64.pkg.tar.zst

%NAME%
python-polars

%BASE%
python-polars

%VERSION%
2.0.0-1

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

%CSIZE%
1365378

%ISIZE%
13583685

%SHA256SUM%
698523e915ae892930639cb61cccafcd8b40dbfb295195a2ca65b0c1eced226d

%PGPSIG%
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

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1791787272

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

%CHECKDEPENDS%
python-pytest
python-pytest-xdist
python-matplotlib
python-hypothesis
python-moto
python-flask
python-flask-cors
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

