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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