%FILENAME%
python-polars-1.33.1-1-x86_64.pkg.tar.zst

%NAME%
python-polars

%BASE%
python-polars

%VERSION%
1.33.1-1

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

%CSIZE%
27906895

%ISIZE%
156102525

%MD5SUM%
48a3cb057f7ca74fb16cc4f5f8eed0ad

%SHA256SUM%
38db6fa7c57a17a495247b8e395df4ef9f3044e39aea331a10e7546f1bb0a824

%PGPSIG%
iHUEABYKAB0WIQQ4EAwkN2zV9u1P9LRpGEAMJwMEDAUCaMhtCQAKCRBpGEAMJwMEDDJJAP9BdRh+9pb4pzbQJjVCZGRn5t0wX8M+u0TDsJiIoFcBFQD8DqjmvXC4zVbslNrbam7ZHomCjFfNFB/xYm+28ZNN4wA=

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1757965184

%PACKAGER%
Bert Peters <bertptrs@archlinux.org>

%DEPENDS%
python
python-numpy

%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

%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

