.SRCINFO


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pkgbase = python-polars-bin
	pkgdesc = Blazingly fast DataFrames library using Apache Arrow Columnar Format as memory model
	pkgver = 1.14.0
	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-1.14.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	source = https://files.pythonhosted.org/packages/dd/3a/f03ee80d8dba47b3fc10d02191ee1690b8d4791626da5ea0a29435bd9b24/polars-1.14.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
	source = https://raw.githubusercontent.com/pola-rs/polars/py-1.14.0/LICENSE
	b2sums = faa2fcf46e4afa38a4ac7cba8ed9c957813346e237626ecc89768497ff1bf98f73e4c5601807a2f33cbd6475bad42d3d87837f03b833bba7db32723e4eac8da2
	b2sums = 74c712ca4ce1f3b35b33e76a681fb9f8411857f127a556a1d1d4ff17010b6a7d43c4b8c49f3cccd97daf6bbb7ffb294852e2b0fe40647927243fb542a64848ac

pkgname = python-polars-bin