diff options
| author | Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2019-02-22 19:55:51 +0000 |
|---|---|---|
| committer | Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> | 2019-02-22 19:55:51 +0000 |
| commit | 09a7237d9b152bd5ca2b99d6371cc8ec45fc8356 (patch) | |
| tree | 89707a54fb7233efc1b23fab4d719c7d73057fc1 /math/py-numpy | |
| parent | Update to 0.14.11 (diff) | |
Remove no-op TESTS_DESC
- Update pkg-descr
Notes
Notes:
svn path=/head/; revision=493608
Diffstat (limited to 'math/py-numpy')
| -rw-r--r-- | math/py-numpy/Makefile | 1 | ||||
| -rw-r--r-- | math/py-numpy/pkg-descr | 27 |
2 files changed, 11 insertions, 17 deletions
diff --git a/math/py-numpy/Makefile b/math/py-numpy/Makefile index 3a3138568ebc..c4407f366f72 100644 --- a/math/py-numpy/Makefile +++ b/math/py-numpy/Makefile @@ -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 diff --git a/math/py-numpy/pkg-descr b/math/py-numpy/pkg-descr index 0d42298be8a2..16b3e2c3e8d9 100644 --- a/math/py-numpy/pkg-descr +++ b/math/py-numpy/pkg-descr @@ -1,18 +1,13 @@ -The fundamental package needed for scientific computing with Python is -called NumPy. This package contains: - - * 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. +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 + +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/ |