%FILENAME%
python-polars-1.39.3-1-loong64.pkg.tar.zst

%NAME%
python-polars

%BASE%
python-polars

%VERSION%
1.39.3-1

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

%CSIZE%
1276449

%ISIZE%
12825718

%SHA256SUM%
9e57327e2f0ad2aa74de82fcd1f0d6e4b9f37fac03d024b71c7a0dd0b58c61e7

%PGPSIG%
iHUEABYKAB0WIQSmwC++cwzUWFm5RuFcdK4XC9oUMwUCab+U/QAKCRBcdK4XC9oUMwzvAQCI/RMkS+P0IT0YAHSK1YviGdqGVe7E2c1Okg2x5ocINwEAtWFWuNxKw5HYzTadv0Cl3KWcyoK3Oc9TYHAVv3rmjQo=

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

%LICENSE%
MIT

%ARCH%
loong64

%BUILDDATE%
1774158138

%PACKAGER%
LCPU <lcpu@pku.edu.cn>

%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

