Index: head/math/py-numpy/Makefile
===================================================================
--- head/math/py-numpy/Makefile	(revision 493607)
+++ head/math/py-numpy/Makefile	(revision 493608)
@@ -1,78 +1,77 @@
 # Created by: Tony Maher
 # $FreeBSD$
 
 PORTNAME=	numpy
 PORTVERSION=	1.16.1
 PORTEPOCH=	1
 CATEGORIES=	math python
 MASTER_SITES=	CHEESESHOP \
 		https://docs.scipy.org/doc/${PORTNAME}-${PORTVERSION}/:doc
 PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
 DISTFILES=	${DISTNAME}${EXTRACT_SUFX} \
 		${PORTNAME}-ref-${PORTVERSION}.pdf:doc \
 		${PORTNAME}-user-${PORTVERSION}.pdf:doc
 EXTRACT_ONLY=	${DISTNAME}${EXTRACT_SUFX}
 
 MAINTAINER=	python@FreeBSD.org
 COMMENT=	The New Numeric Extension to Python
 
 LICENSE=	BSD3CLAUSE
 LICENSE_FILE=	${WRKSRC}/LICENSE.txt
 
 TEST_DEPENDS=	${PYTHON_PKGNAMEPREFIX}pytest>=0:devel/py-pytest@${PY_FLAVOR}
 
 USES=		fortran python zip
 USE_PYTHON=	allflavors autoplist concurrent cython distutils
 
 GCCLIBDIR_CMDS=	${FC} -print-file-name=libgfortran.so | ${SED} -e s/libgfortran.so//
 LDFLAGS+=	-shared
 PYDISTUTILS_BUILDARGS=		--fcompiler=gnu95
 PYDISTUTILS_CONFIGUREARGS=	--fcompiler=gnu95
 
 PORTDOCS=	*
 
 OPTIONS_DEFINE=		DOCS SUITESPARSE
 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
 NETLIB_USES=		blaslapack:netlib
 NETLIB_VARS=		BLASLIBS="blas, cblas" BLASNAME=atlas LAPACKLIBS=lapack LIBRARIES=atlas_libs
 NETLIB_LIB_DEPENDS=	libcblas.so:math/cblas
 OPENBLAS_USES=		blaslapack:openblas
 OPENBLAS_VARS=		BLASLIBS="openblasp, gfortran" BLASNAME=openblas LAPACKLIBS="openblasp, gfortran" LIBRARIES=libraries
 SUITESPARSE_LIB_DEPENDS=libumfpack.so:math/suitesparse
 
 post-extract:
 	@${TOUCH} ${WRKSRC}/numpy/f2py/tests/src/temp
 
 post-patch:
 	@${REINPLACE_CMD} -e 's|%%FC%%|${FC}|' ${WRKSRC}/numpy/distutils/fcompiler/gnu.py
 	@${CP} ${FILESDIR}/site.cfg ${WRKSRC}/site.cfg
 
 post-patch-SUITESPARSE-off:
 	@${REINPLACE_CMD} -e 's|:%%LOCALBASE%%/include/suitesparse||' ${WRKSRC}/site.cfg
 
 pre-configure:
 	${REINPLACE_CMD} -e 's|%%LOCALBASE%%|${LOCALBASE}|g' \
 		-e 's|%%BLASLIBS%%|${BLASLIBS}|; s|%%BLASNAME%%|${BLASNAME}|' \
 		-e 's|%%LAPACKLIBS%%|${LAPACKLIBS}|; s|%%LIBRARIES%%|${LIBRARIES}|' \
 			${WRKSRC}/site.cfg
 	@${REINPLACE_CMD} -e "s|%%GCCLIBDIR%%|$$(${GCCLIBDIR_CMDS})|" ${WRKSRC}/site.cfg ${WRKSRC}/numpy/distutils/system_info.py
 
 post-install:
 	${FIND} ${STAGEDIR}${PYTHON_SITELIBDIR} -name '*.so' | ${XARGS} ${STRIP_CMD}
 
 post-install-DOCS-on:
 	@${MKDIR} ${STAGEDIR}${DOCSDIR}
 	${INSTALL_DATA} ${DISTDIR}/${PORTNAME}-ref-${PORTVERSION}.pdf ${STAGEDIR}${DOCSDIR}
 	${INSTALL_DATA} ${DISTDIR}/${PORTNAME}-user-${PORTVERSION}.pdf ${STAGEDIR}${DOCSDIR}
 
 do-test:
 	@cd ${WRKSRC} && ${PYTHON_CMD} runtests.py
 
 .include <bsd.port.mk>
Index: head/math/py-numpy/pkg-descr
===================================================================
--- head/math/py-numpy/pkg-descr	(revision 493607)
+++ head/math/py-numpy/pkg-descr	(revision 493608)
@@ -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/