.SRCINFO


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pkgbase = python-polars-bin
	pkgdesc = Blazingly fast DataFrames library using Apache Arrow Columnar Format as memory model
	pkgver = 1.13.1
	pkgrel = 1
	url = https://www.pola.rs/
	arch = x86_64
	license = MIT
	makedepends = python-installer
	depends = python
	depends = python-numpy
	optdepends = python-pandas: for interoperability with pandas frames
	optdepends = python-pyarrow: for interoperability with arrow types
	optdepends = python-pytz: to enable conversion to python datetimes with timezones
	optdepends = python-fsspec: to transparently open files locally or remotely
	provides = python-polars
	conflicts = python-polars
	noextract = polars-1.13.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	source = https://files.pythonhosted.org/packages/ce/e8/9fd44ad4c091f911724f4cbe34f960c2e8016391e88f4da75ab0a2b83493/polars-1.13.1-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	source = https://raw.githubusercontent.com/pola-rs/polars/py-1.13.1/LICENSE
	b2sums = e1a959b7e525a825de1e595e53f28b1ce6507b75d0425f910e6e7e08dd983d411957fac87f983019076f345d4c3fae33087bbaf66abcb16350a93d1f762f5db6
	b2sums = 74c712ca4ce1f3b35b33e76a681fb9f8411857f127a556a1d1d4ff17010b6a7d43c4b8c49f3cccd97daf6bbb7ffb294852e2b0fe40647927243fb542a64848ac

pkgname = python-polars-bin