dev-python/hdbscan: merged in Gentoo ::science

https://gitweb.gentoo.org/proj/sci.git/commit/?id=207a85724b6526e0f3be017a8a953412fcdcf597

dev-python/hdbscan/Manifest

@@ -1,2 +0,0 @@
-DIST hdbscan-0.8.26.tar.gz 10776639 BLAKE2B 7f1cb7b479746e3ff262cce90d48cca42dccabc131a60300ae5448455260eb27387ab2eeeee19257930ee646d06df80fa2997cf1819da18178c5522a8a27a30c SHA512 7337f4246511d22e8e11308e7776aad6929f26674daecc1e174b01673782837815a40820a6565406315b1ae14ed059c4945810ac997abfde9e24abda352de622
-DIST hdbscan-0.8.29.tar.gz 11666106 BLAKE2B de324386d7d2178f74ea958fa75e5eccb9dcdeba3d85cecce1150930e2d687caecbc79469de6ad62806c5bd860962bba57f27323c69f3abc6b0d4694a553656d SHA512 fd349c1c6c09f0288a9a2501eb7794fb03139c11261a835d90f1c9cd80955a4d8d075ff3864ddb9cfcbc204a3d0662011074bdb29b66b72d5469f76bc4f7ecca

dev-python/hdbscan/hdbscan-0.8.26.ebuild

@@ -1,33 +0,0 @@
-# Copyright 2021-2023 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{10..11} )
-DISTUTILS_USE_PEP517=setuptools
-inherit distutils-r1
-
-DESCRIPTION="A high performance implementation of HDBSCAN clustering."
-HOMEPAGE="https://github.com/scikit-learn-contrib/hdbscan"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64 ~x86"
-IUSE="test"
-RESTRICT="test"
-# Tests fail, reported to upstream
-# https://github.com/scikit-learn-contrib/hdbscan/issues/501
-
-DEPEND=""
-RDEPEND="
-	dev-python/cython[${PYTHON_USEDEP}]
-	dev-python/joblib[${PYTHON_USEDEP}]
-	dev-python/numpy[${PYTHON_USEDEP}]
-	dev-python/scipy[${PYTHON_USEDEP}]
-	dev-python/six[${PYTHON_USEDEP}]
-	sci-libs/scikit-learn[${PYTHON_USEDEP}]
-"
-BDEPEND=""
-
-distutils_enable_tests pytest

dev-python/hdbscan/hdbscan-0.8.29.ebuild

@@ -1,33 +0,0 @@
-# Copyright 2021-2023 Gentoo Authors
-# Distributed under the terms of the GNU General Public License v2
-
-EAPI=8
-
-PYTHON_COMPAT=( python3_{8..10} )
-DISTUTILS_USE_PEP517=setuptools
-inherit distutils-r1
-
-DESCRIPTION="A high performance implementation of HDBSCAN clustering."
-HOMEPAGE="https://github.com/scikit-learn-contrib/hdbscan"
-SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
-
-LICENSE="BSD"
-SLOT="0"
-KEYWORDS="~amd64 ~x86"
-IUSE="test"
-# Reported upstream:
-# https://github.com/scikit-learn-contrib/hdbscan/issues/501
-RESTRICT="test"
-
-DEPEND=""
-RDEPEND="
-	dev-python/cython[${PYTHON_USEDEP}]
-	dev-python/joblib[${PYTHON_USEDEP}]
-	dev-python/numpy[${PYTHON_USEDEP}]
-	dev-python/scipy[${PYTHON_USEDEP}]
-	dev-python/six[${PYTHON_USEDEP}]
-	sci-libs/scikit-learn[${PYTHON_USEDEP}]
-"
-BDEPEND=""
-
-distutils_enable_tests pytest

dev-python/hdbscan/metadata.xml

@@ -1,28 +0,0 @@
-<?xml version='1.0' encoding='UTF-8'?>
-<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
-<pkgmetadata>
-	<maintainer type="person">
-		<email>gentoo@chymera.eu</email>
-		<name>Horea Christian</name>
-	</maintainer>
-	<maintainer type="project">
-		<email>sci@gentoo.org</email>
-		<name>Gentoo Science Project</name>
-	</maintainer>
-	<longdescription lang="en">
-		HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with
-		Noise. Performs DBSCAN over varying epsilon values and integrates the result
-		to find a clustering that gives the best stability over epsilon. This allows
-		HDBSCAN to find clusters of varying densities (unlike DBSCAN), and be more
-		robust to parameter selection.
-
-		In practice this means that HDBSCAN returns a good clustering straight away
-		with little or no parameter tuning -- and the primary parameter, minimum
-		cluster size, is intuitive and easy to select. HDBSCAN is ideal for
-		exploratory data analysis; it's a fast and robust algorithm that you can
-		trust to return meaningful clusters (if there are any).
-	</longdescription>
-	<upstream>
-		<remote-id type="github">scikit-learn-contrib/hdbscan</remote-id>
-	</upstream>
-</pkgmetadata>