%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%
1284620

%ISIZE%
12908512

%MD5SUM%
e02cc8e89e298385f4e8611761f7d6c9

%SHA256SUM%
008fc3e36ae0909ca47cc6994611d4c653d5f7503bcaa47e6faee1703589acc0

%PGPSIG%
iHUEABYKAB0WIQQ4EAwkN2zV9u1P9LRpGEAMJwMEDAUCaep4aQAKCRBpGEAMJwMEDCCyAQDegE0I7LK5Khk2usMSBh6JWksd0f0pOvwLO2wTQfIKxwD/WMCK42n7tGDp8+RPxRg4SM1AWtimYUDwR86sywAeLAE=

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1776971850

%PACKAGER%
Bert Peters <bertptrs@archlinux.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

