%FILENAME%
python-polars-1.25.2-1-x86_64.pkg.tar.zst

%NAME%
python-polars

%BASE%
python-polars

%VERSION%
1.25.2-1

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

%CSIZE%
25313477

%ISIZE%
138878291

%MD5SUM%
583c7aa8269dcb160248983183deee52

%SHA256SUM%
2d98fcc18eaf41c738a1303e41a02602522560025e5d131826a7046748a5b1e6

%PGPSIG%
iHUEABYKAB0WIQQ4EAwkN2zV9u1P9LRpGEAMJwMEDAUCZ9aOHQAKCRBpGEAMJwMEDM2lAP0YnRrKFP3Uh/8r4DuCsXCHizWxW5LUmT/z2RGlsJECFAEAzVzXclNnOe2A/EnuaWD4WRINbeY5IpoKhyJhLE0DOAA=

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

%LICENSE%
MIT

%ARCH%
x86_64

%BUILDDATE%
1742113799

%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-orjson

