svn commit: r493608 - head/math/py-numpy
Sunpoet Po-Chuan Hsieh
sunpoet at FreeBSD.org
Fri Feb 22 19:55:57 UTC 2019
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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