bento.info

Name: numpy
Version: 2.0.0
Summary: NumPy: array processing for numbers, strings, records, and objects.
Url: http://numpy.scipy.org
DownloadUrl: http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103
Description:
    NumPy is a general-purpose array-processing package designed to
    efficiently manipulate large multi-dimensional arrays of arbitrary
    records without sacrificing too much speed for small multi-dimensional
    arrays.  NumPy is built on the Numeric code base and adds features
    introduced by numarray as well as an extended C-API and the ability to
    create arrays of arbitrary type which also makes NumPy suitable for
    interfacing with general-purpose data-base applications.

    There are also basic facilities for discrete fourier transform,
    basic linear algebra and random number generation.
Author: Travis E. Oliphant, et.al.
AuthorEmail: oliphant@enthought.com
Maintainer: NumPy Developers
MaintainerEmail: numpy-discussion@scipy.org
License: BSD
Platforms: Windows,Linux,Solaris,Mac OS-X,Unix
Classifiers:
    Development Status :: 5 - Production/Stable,
    Intended Audience :: Science/Research,
    Intended Audience :: Developers,
    License :: OSI Approved,
    Programming Language :: C,
    Programming Language :: Python,
    Topic :: Software Development,
    Topic :: Scientific/Engineering,
    Operating System :: Microsoft :: Windows,
    Operating System :: POSIX,
    Operating System :: Unix,
    Operating System :: MacOS

ExtraSourceFiles:
    setup.py,
    numpy/core/include/numpy/*.h,
    numpy/core/include/numpy/*.in,
    numpy/core/include/numpy/fenv/*.h,
    numpy/core/include/numpy/fenv/*.c,
    numpy/core/*.ini.in,
    numpy/core/src/npymath/*.h,
    numpy/core/src/multiarray/*.c,
    numpy/core/src/multiarray/*.c.src,
    numpy/core/src/multiarray/*.h,
    numpy/core/src/private/*.h,
    numpy/core/src/umath/*.src,
    numpy/core/src/umath/*.h,
    numpy/core/src/umath/*.c,
    numpy/fft/*.h,
    numpy/random/mtrand/*.h

DataFiles: tests
    TargetDir: $sitedir/numpy
    SourceDir: numpy
    Files:
        core/tests/*.py,
        distutils/tests/*.py,
        f2py/tests/*.py,
        fft/tests/*.py,
        lib/tests/*.py,
        linalg/tests/*.py,
        ma/tests/*.py,
        matrixlib/tests/*.py,
        oldnumeric/tests/*.py,
        polynomial/tests/*.py,
        random/tests/*.py,
        testing/tests/*.py

HookFile: bscript

Recurse: numpy

Library:
    Packages:
        numpy