.SRCINFO


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pkgbase = python-xgboost-cuda
	pkgdesc = Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library. Compiled with CUDA support.
	pkgver = 3.0.0
	pkgrel = 1
	url = https://xgboost.ai
	arch = x86_64
	license = Apache-2.0
	checkdepends = python-pytest
	checkdepends = python-loky
	makedepends = python-build
	makedepends = python-installer
	makedepends = python-wheel
	makedepends = python-hatchling
	makedepends = python-setuptools
	makedepends = python-packaging
	makedepends = cmake
	makedepends = ninja
	makedepends = git
	depends = python-numpy
	depends = python-scipy
	depends = python-hypothesis
	depends = cuda
	depends = nccl
	optdepends = apache-spark: Distributed training support
	optdepends = python-pyspark: Distributed training support with PySpark
	optdepends = python-matplotlib: Plotting with matplotlib
	optdepends = python-graphviz: Plotting with graphviz
	optdepends = python-dask: Dask support - Needs python-pandas and python-distributed
	optdepends = python-pandas: Dask support dependency
	optdepends = python-distributed: Dask support dependency
	optdepends = python-cloudpickle: PySpark support dependency
	optdepends = python-scikit-learn
	optdepends = python-pyarrow
	provides = python-xgboost
	conflicts = python-xgboost
	conflicts = python-xgboost-git
	source = xgboost-3.0.0.tar.gz::https://github.com/dmlc/xgboost/archive/refs/tags/v3.0.0.tar.gz
	source = git+https://github.com/dmlc/dmlc-core.git#commit=13341857549852a9a86b1894b5ba84c6276ab381
	source = git+https://github.com/rapidsai/gputreeshap.git#commit=40eae8c4c45974705f8053e4d3d05b88e3cfaefd
	sha256sums = 4b8775e3fcf17d9b2e7b458ca1f37a93706aa6959c2e0c64672e6e4974660f45
	sha256sums = 8608303201f07bf3f7f8809e6db5bd64fbfcf964c0aceabbc4cf891271011cf7
	sha256sums = 0850233f9f4433bc2af8330a5c464a2cf8c43d2e46eaab875753157a100d8039

pkgname = python-xgboost-cuda