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authorV3n3RiX <venerix@redcorelinux.org>2017-10-09 18:53:29 +0100
committerV3n3RiX <venerix@redcorelinux.org>2017-10-09 18:53:29 +0100
commit4f2d7949f03e1c198bc888f2d05f421d35c57e21 (patch)
treeba5f07bf3f9d22d82e54a462313f5d244036c768 /dev-python/hcluster
reinit the tree, so we can have metadata
Diffstat (limited to 'dev-python/hcluster')
-rw-r--r--dev-python/hcluster/Manifest5
-rw-r--r--dev-python/hcluster/hcluster-0.2.0-r1.ebuild23
-rw-r--r--dev-python/hcluster/metadata.xml22
3 files changed, 50 insertions, 0 deletions
diff --git a/dev-python/hcluster/Manifest b/dev-python/hcluster/Manifest
new file mode 100644
index 000000000000..3ebd071af3a1
--- /dev/null
+++ b/dev-python/hcluster/Manifest
@@ -0,0 +1,5 @@
+DIST hcluster-0.2.0.tar.gz 453082 SHA256 ce1ff67271cc1be36522ec1b144722c62ab74e48b9051a47b0f439b1eb372652 SHA512 b7794e7032099d7f2f9acd5339f7ab70bfbd69035d9c1fae0166c2c03f8420ae25f8111f5db4c6eded9f8c32991154a20c6fdcc82104116710b52176e3c2033b WHIRLPOOL 9f6aae12eb704c5fe2b9d880effcc6ddb6a054c6928e4df426069531466c7652d684ce914fc9b8048e8cc70620b2e0296209dd09513c235701c45b969b18b7a0
+EBUILD hcluster-0.2.0-r1.ebuild 548 SHA256 c7a6e5e13c38e2b3224decb288d4390bee1a1cb0aefae2576b62c199c647ce5b SHA512 dcca49eeb6dc445d092b357aebf59dcf11c990506bcbe6fe87517ad512b2ae3c1a850d55246a0ba62a57d8afb91e9b42fc65202ee772878389741658f9d825be WHIRLPOOL 218194e18297697dc0d4c5f1845ba36631a28d02de99104e79554af8c90a9f26f38167a1bfa463fe756a5c508211f27ed97ef07d8f0fd26fbfd97e79ce3c5f26
+MISC ChangeLog 2911 SHA256 451d45b2c393fa6512c3fe8a5160431fa34cb0b02a428fad3ea413910c8e6de0 SHA512 3045ca5e4465be28264a52a5286683185b72dee5943caec8d97499c9df909a8a8dd2dffacbeddbd0043220a1e808466c2d1014f3c565f752eb08f16528b2c3dd WHIRLPOOL 8ae8979e4ca3a6294ec8023117875b52b99db07a4490016db671807ef5e18251d6e96562b156d5d15e92174273912244ac42157c105c8b00a9e7388eb26c2d5d
+MISC ChangeLog-2015 1012 SHA256 9bcf112650e859db84b1f19a83b53e7a08fe7dfa290d3869ebfadc5f0bcff7a8 SHA512 345bcaf976c1693ca7362d157c784e72c8e9fe0e48e817883d30227f74931e8db62ba768c444d4478e45e82b0fbb24830711d3110122b29eb595ad5e30536ae0 WHIRLPOOL 4f0d0ff434587068b961546eb26d965466f8f5215886879f11a3d30615b262b3bd4ef7e4cbab8108b92297de6bdb10acad1a36f4ee3857b97ba9896ae634732f
+MISC metadata.xml 961 SHA256 8a628d9fbbb006428304ffae931ecbcc166935dfa94594ef8e2d35ba0bf6e2db SHA512 d6319935dab4fbcf76e6babe17f50384f66df6feadbfd62a719146609833ea681e33ee938b46480c670fd6965cda530eb32e656094703041a3a802711d8e7e8f WHIRLPOOL 5a4838486d8dbf3b29593b3692b29df22a9c5b149c9aebfce592b432f311e018804d1fcd5beb5dbfc74f1a6c609a2034df4375babd5b0aef2a59eb925c7fe8ae
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..aee97299e523
--- /dev/null
+++ b/dev-python/hcluster/hcluster-0.2.0-r1.ebuild
@@ -0,0 +1,23 @@
+# Copyright 1999-2016 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI=5
+PYTHON_COMPAT=( python2_7 )
+
+inherit distutils-r1
+
+DESCRIPTION="Python hierarchical clustering package for Scipy"
+HOMEPAGE="https://pypi.python.org/pypi/hcluster"
+SRC_URI="mirror://pypi/${PN:0:1}/${PN}/${P}.tar.gz"
+
+LICENSE="BSD"
+SLOT="0"
+KEYWORDS="~amd64 ~x86"
+IUSE=""
+
+DEPEND="dev-python/numpy[${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..3de3c222d3bb
--- /dev/null
+++ b/dev-python/hcluster/metadata.xml
@@ -0,0 +1,22 @@
+<?xml version='1.0' encoding='UTF-8'?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+ <maintainer type="project">
+ <email>sci@gentoo.org</email>
+ <name>Gentoo Science Project</name>
+ </maintainer>
+ <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>
+ <remote-id type="pypi">hcluster</remote-id>
+ </upstream>
+</pkgmetadata>