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author | Robin H. Johnson <robbat2@gentoo.org> | 2015-08-08 13:49:04 -0700 |
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committer | Robin H. Johnson <robbat2@gentoo.org> | 2015-08-08 17:38:18 -0700 |
commit | 56bd759df1d0c750a065b8c845e93d5dfa6b549d (patch) | |
tree | 3f91093cdb475e565ae857f1c5a7fd339e2d781e /dev-python/hcluster | |
download | gentoo-56bd759df1d0c750a065b8c845e93d5dfa6b549d.tar.gz gentoo-56bd759df1d0c750a065b8c845e93d5dfa6b549d.tar.bz2 gentoo-56bd759df1d0c750a065b8c845e93d5dfa6b549d.zip |
proj/gentoo: Initial commit
This commit represents a new era for Gentoo:
Storing the gentoo-x86 tree in Git, as converted from CVS.
This commit is the start of the NEW history.
Any historical data is intended to be grafted onto this point.
Creation process:
1. Take final CVS checkout snapshot
2. Remove ALL ChangeLog* files
3. Transform all Manifests to thin
4. Remove empty Manifests
5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$
5.1. Do not touch files with -kb/-ko keyword flags.
Signed-off-by: Robin H. Johnson <robbat2@gentoo.org>
X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests
X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project
X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration
X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn
X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts
X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration
X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging
X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed
Diffstat (limited to 'dev-python/hcluster')
-rw-r--r-- | dev-python/hcluster/Manifest | 1 | ||||
-rw-r--r-- | dev-python/hcluster/hcluster-0.2.0-r1.ebuild | 24 | ||||
-rw-r--r-- | dev-python/hcluster/metadata.xml | 18 |
3 files changed, 43 insertions, 0 deletions
diff --git a/dev-python/hcluster/Manifest b/dev-python/hcluster/Manifest new file mode 100644 index 000000000000..2be91bde87cc --- /dev/null +++ b/dev-python/hcluster/Manifest @@ -0,0 +1 @@ +DIST hcluster-0.2.0.tar.gz 453082 SHA256 ce1ff67271cc1be36522ec1b144722c62ab74e48b9051a47b0f439b1eb372652 SHA512 b7794e7032099d7f2f9acd5339f7ab70bfbd69035d9c1fae0166c2c03f8420ae25f8111f5db4c6eded9f8c32991154a20c6fdcc82104116710b52176e3c2033b WHIRLPOOL 9f6aae12eb704c5fe2b9d880effcc6ddb6a054c6928e4df426069531466c7652d684ce914fc9b8048e8cc70620b2e0296209dd09513c235701c45b969b18b7a0 diff --git a/dev-python/hcluster/hcluster-0.2.0-r1.ebuild b/dev-python/hcluster/hcluster-0.2.0-r1.ebuild new file mode 100644 index 000000000000..14a618504e11 --- /dev/null +++ b/dev-python/hcluster/hcluster-0.2.0-r1.ebuild @@ -0,0 +1,24 @@ +# Copyright 1999-2015 Gentoo Foundation +# Distributed under the terms of the GNU General Public License v2 +# $Id$ + +EAPI=5 +PYTHON_COMPAT=( python2_7 ) + +inherit distutils-r1 + +DESCRIPTION="Python hierarchical clustering package for Scipy" +HOMEPAGE="http://code.google.com/p/scipy-cluster/ http://pypi.python.org/pypi/hcluster" +SRC_URI="http://scipy-cluster.googlecode.com/files/${P}.tar.gz" + +LICENSE="BSD" +SLOT="0" +KEYWORDS="~amd64 ~x86" +IUSE="" + +DEPEND="dev-python/numpy[${PYTHON_USEDEP}]" +RDEPEND="${DEPEND} + dev-python/matplotlib[${PYTHON_USEDEP}]" + +# Tests need X display with matplotlib. +RESTRICT="test" diff --git a/dev-python/hcluster/metadata.xml b/dev-python/hcluster/metadata.xml new file mode 100644 index 000000000000..00af651902b7 --- /dev/null +++ b/dev-python/hcluster/metadata.xml @@ -0,0 +1,18 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> + <herd>sci</herd> + <longdescription lang="en">This library provides Python functions for agglomerative + clustering. Its features include + * generating hierarchical clusters from distance matrices + * computing distance matrices from observation vectors + * computing statistics on clusters + * cutting linkages to generate flat clusters + * and visualizing clusters with dendrograms. + The interface is very similar to MATLAB's Statistics Toolbox API to + make code easier to port from MATLAB to Python/Numpy. The core + implementation of this library is in C for efficiency.</longdescription> + <upstream> + <remote-id type="google-code">scipy-cluster</remote-id> + </upstream> +</pkgmetadata> |