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freebsd-ports/math/py-fastcluster/Makefile

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Change all occurrences of xmj@chaot.net to johannes@perceivon.net as the owner requested. This only affects "Created by" lines with one exception: devel/uclcmd. There the maintainer is changed. This was overlooked in r416918. Approved by: junovitch (mentor)
2016-06-23 11:48:53 +02:00
# Created by: Johannes Meixner <johannes@perceivon.net>
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
# $FreeBSD$
PORTNAME= fastcluster
Update to 1.1.25 Changes: https://github.com/dmuellner/fastcluster/blob/master/NEWS.txt
2018-06-02 00:47:23 +02:00
PORTVERSION= 1.1.25
Bump PORTREVISION for ports depending on the canonical version of GCC as defined in Mk/bsd.default-versions.mk which has moved from GCC 8.3 to GCC 9.1 under most circumstances now after revision 507371. This includes ports - with USE_GCC=yes or USE_GCC=any, - with USES=fortran, - using Mk/bsd.octave.mk which in turn features USES=fortran, and - with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang, c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib plus, everything INDEX-11 shows with a dependency on lang/gcc9 now. PR: 238330
2019-07-26 22:46:53 +02:00
PORTREVISION= 2
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
CATEGORIES= math python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
Update to 1.1.24 - Update COMMENT - Add LICENSE_FILE - Add missing OPTIONS_DEFINE=DOCS - Strip shared library - Convert to options target helper - Add PyPI and GitHub repository to WWW - Take maintainership Changes: https://github.com/dmuellner/fastcluster https://github.com/dmuellner/fastcluster/blob/master/NEWS.txt
2018-02-25 06:33:33 +01:00
MAINTAINER= sunpoet@FreeBSD.org
COMMENT= Fast hierarchical clustering routines for R and Python
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
LICENSE= BSD2CLAUSE
Update to 1.1.24 - Update COMMENT - Add LICENSE_FILE - Add missing OPTIONS_DEFINE=DOCS - Strip shared library - Convert to options target helper - Add PyPI and GitHub repository to WWW - Take maintainership Changes: https://github.com/dmuellner/fastcluster https://github.com/dmuellner/fastcluster/blob/master/NEWS.txt
2018-02-25 06:33:33 +01:00
LICENSE_FILE= ${WRKSRC}/COPYING.txt
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
BUILD_DEPENDS= ${PYNUMPY}
RUN_DEPENDS= ${PYNUMPY} \
Use PY_FLAVOR for dependencies. FLAVOR is the current port's flavor, it should not be used outside of this scope. Sponsored by: Absolight
2018-06-20 19:05:41 +02:00
${PYTHON_PKGNAMEPREFIX}scipy>=0:science/py-scipy@${PY_FLAVOR}
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
- Convert ports of math/ to new USES=python Approved by: portmgr (implicit)
2014-10-21 18:54:54 +02:00
USES= python
Update to 1.1.24 - Update COMMENT - Add LICENSE_FILE - Add missing OPTIONS_DEFINE=DOCS - Strip shared library - Convert to options target helper - Add PyPI and GitHub repository to WWW - Take maintainership Changes: https://github.com/dmuellner/fastcluster https://github.com/dmuellner/fastcluster/blob/master/NEWS.txt
2018-02-25 06:33:33 +01:00
USE_PYTHON= autoplist concurrent distutils
PORTDOCS= CITATION.txt INSTALL.txt NEWS.txt README.txt
OPTIONS_DEFINE= DOCS
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
post-install:
Update to 1.1.24 - Update COMMENT - Add LICENSE_FILE - Add missing OPTIONS_DEFINE=DOCS - Strip shared library - Convert to options target helper - Add PyPI and GitHub repository to WWW - Take maintainership Changes: https://github.com/dmuellner/fastcluster https://github.com/dmuellner/fastcluster/blob/master/NEWS.txt
2018-02-25 06:33:33 +01:00
${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/_fastcluster.so
post-install-DOCS-on:
- Update to 1.1.21 - Allow concurrent installs (fix docdir) PR: 212213 Submitted by: xmj@FreeBSD.org Approved by: maintainer timeout (johannes@perceivon.net, 6 weeks)
2017-02-01 12:31:45 +01:00
@${MKDIR} ${STAGEDIR}${DOCSDIR}
Update to 1.1.24 - Update COMMENT - Add LICENSE_FILE - Add missing OPTIONS_DEFINE=DOCS - Strip shared library - Convert to options target helper - Add PyPI and GitHub repository to WWW - Take maintainership Changes: https://github.com/dmuellner/fastcluster https://github.com/dmuellner/fastcluster/blob/master/NEWS.txt
2018-02-25 06:33:33 +01:00
cd ${WRKSRC}/ && ${INSTALL_DATA} ${PORTDOCS} ${STAGEDIR}${DOCSDIR}
math/py-fastcluster: Python functions for hierarchical clustering Fastcluster provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. 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. WWW: http://danifold.net/fastcluster.html PR: ports/184931 Submitted by: Johannes Jost Meixner <xmj chaot.net>
2013-12-18 12:12:40 +01:00
.include <bsd.port.mk>
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