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Date:      Fri, 22 Feb 2019 19:55:52 +0000 (UTC)
From:      Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org>
To:        ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org
Subject:   svn commit: r493608 - head/math/py-numpy
Message-ID:  <201902221955.x1MJtqiH085519@repo.freebsd.org>

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Author: sunpoet
Date: Fri Feb 22 19:55:51 2019
New Revision: 493608
URL: https://svnweb.freebsd.org/changeset/ports/493608

Log:
  Remove no-op TESTS_DESC
  
  - Update pkg-descr

Modified:
  head/math/py-numpy/Makefile
  head/math/py-numpy/pkg-descr

Modified: head/math/py-numpy/Makefile
==============================================================================
--- head/math/py-numpy/Makefile	Fri Feb 22 19:55:46 2019	(r493607)
+++ head/math/py-numpy/Makefile	Fri Feb 22 19:55:51 2019	(r493608)
@@ -36,7 +36,6 @@ OPTIONS_SINGLE=		BLASLIB
 OPTIONS_SINGLE_BLASLIB=	ATLAS NETLIB OPENBLAS
 OPTIONS_DEFAULT=	NETLIB SUITESPARSE
 SUITESPARSE_DESC=	Use AMD and UMFPACK in SuiteSparse
-TESTS_DESC=		Install test suite requirements
 
 ATLAS_USES=		blaslapack:atlas
 ATLAS_VARS=		BLASLIBS="ptf77blas, ptcblas" BLASNAME=atlas LAPACKLIBS=alpack LIBRARIES=atlas_libs

Modified: head/math/py-numpy/pkg-descr
==============================================================================
--- head/math/py-numpy/pkg-descr	Fri Feb 22 19:55:46 2019	(r493607)
+++ head/math/py-numpy/pkg-descr	Fri Feb 22 19:55:51 2019	(r493608)
@@ -1,18 +1,13 @@
-The fundamental package needed for scientific computing with Python is
-called NumPy.  This package contains:
+NumPy is the fundamental package for scientific computing with Python. It
+contains among other things:
+- a powerful N-dimensional array object
+- sophisticated (broadcasting) functions
+- tools for integrating C/C++ and Fortran code
+- useful linear algebra, Fourier transform, and random number capabilities
 
-    * a powerful N-dimensional array object
-    * sophisticated (broadcasting) functions
-    * basic linear algebra functions
-    * basic Fourier transforms
-    * sophisticated random number capabilities
-    * tools for integrating Fortran code.
-
-NumPy derives from the old Numeric code base and can be used as a
-replacement for Numeric.   It also adds the features introduced by numarray
-and can also be used to replace numarray.
-
-Note:	Development for Numeric has ceased, and users should transisition to
-	NumPy as quickly as possible.
+Besides its obvious scientific uses, NumPy can also be used as an efficient
+multi-dimensional container of generic data. Arbitrary data-types can be
+defined. This allows NumPy to seamlessly and speedily integrate with a wide
+variety of databases.
 
 WWW: https://www.numpy.org/



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