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Maintainer: Debian Scipy Team <deb-scipy-devel@lists.alioth.debian.org>
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Uploaders: Marco Presi (Zufus) <zufus@debian.org>, Alexandre Fayolle <afayolle@debian.org>, José Fonseca <j_r_fonseca@yahoo.co.uk>
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Build-Depends: cdbs (>= 0.4.43), python-all-dev, python-all, python-central (>= 0.5), refblas3-dev [!arm !m68k], lapack3-dev [!arm !m68k], debhelper (>= 5.0.37.2), g77, patchutils, python-docutils
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Build-Conflicts: lapack-dev [!arm !m68k], blas-dev [!arm !m68k], atlas2-base, atlas2-base-dev, atlas3-base, atlas3-base-dev
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Standards-Version: 3.7.2
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Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
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Uploaders: Marco Presi (Zufus) <zufus@debian.org>, Alexandre Fayolle <afayolle@debian.org>, José Fonseca <j_r_fonseca@yahoo.co.uk>, Matthias Klose <doko@debian.org>, Ondrej Certik <ondrej@certik.cz>, Kumar Appaiah <akumar@debian.org>
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Build-Depends: cdbs (>= 0.4.43), python-all-dev, python-all-dbg, python-central (>= 0.6), gfortran (>= 4:4.2), libblas-dev [!arm !m68k], liblapack-dev [!arm !m68k], debhelper (>= 5.0.38), patchutils, python-docutils, libfftw3-dev
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Build-Conflicts: atlas3-base-dev, libatlas-headers, libatlas-base-dev, libatlas-sse-dev, libatlas-sse2-dev, libatlas-3dnow-dev
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XS-Python-Version: >= 2.3
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Standards-Version: 3.8.0
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Vcs-Svn: svn://svn.debian.org/python-modules/packages/numpy/trunk
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Vcs-Browser: http://svn.debian.org/wsvn/python-modules/packages/numpy/trunk/?op=log
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XS-DM-Upload-Allowed: yes
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Homepage: http://numpy.scipy.org/
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Package: python-numpy
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Depends: ${python:Depends}, ${shlibs:Depends}
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Suggests: python-numpy-doc, python-numpy-dbg
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Conflicts: python-f2py (<= 2.45.241+1926-5), python2.3-f2py, python2.4-f2py, python-scipy (<= 0.6.0-6), python-matplotlib (<< 0.90.1-3), python-numpy-dev (<= 1:1.0.3-2)
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XB-Python-Version: ${python:Versions}
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Depends: ${python:Depends}, ${shlibs:Depends}
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Suggests: python-numpy-doc
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Replaces: python-f2py, python2.3-f2py, python2.4-f2py, python-numpy-ext (<< 1:1.0.1-1)
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Conflicts: python-f2py, python2.3-f2py, python2.4-f2py, python-scipy (<< 0.5.2), python-matplotlib (<< 0.87.7)
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Provides: ${python:Provides}, python-numpy-ext
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Provides: ${python:Provides}, python-numpy-ext, python-numpy-dev, python-f2py
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Description: Numerical Python adds a fast array facility to the Python language
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Numpy contains a powerful N-dimensional array object,
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sophisticated (broadcasting) functions, tools for integrating C/C++
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and Fortran code, and useful linear algebra, Fourier transform, and
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random number capabilities. It derives from the old Numeric code
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base and can be used as a replacement for Numeric. It also adds the
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features introduced by numarray and can be used to replace numarray.
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Numeric users should find the transition very easy
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Numpy contains a powerful N-dimensional array object, sophisticated
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(broadcasting) functions, tools for integrating C/C++ and Fortran
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code, and useful linear algebra, Fourier transform, and random number
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Numpy replaces the python-numeric and python-numarray modules which are
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now deprecated and shouldn't be used except to support older
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Package: python-numpy-dbg
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Depends: python-numpy (= ${binary:Version}), python-dbg, ${shlibs:Depends}
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Description: Fast array facility to the Python language (debug extension)
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Numpy contains a powerful N-dimensional array object, sophisticated
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(broadcasting) functions, tools for integrating C/C++ and Fortran
39
code, and useful linear algebra, Fourier transform, and random number
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Numpy replaces the python-numeric and python-numarray modules which
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are now deprecated and shouldn't be used except to support older
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This package contains the extension built for the Python debug interpreter.
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Package: python-numpy-ext
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Depends: python-numpy (= ${Source-Version})
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Description: Numerical Python adds a fast array facility to the Python language
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This package is a transitional package; it can safely be removed after an upgrade.
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Package: python-numpy-dev
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Depends: python-numpy (= ${Source-Version}), ${python:Depends}, ${shlibs:Depends}
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Suggests: python-numpy-doc
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Replaces: python2.4-f2py
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Conflicts: python2.4-f2py
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Description: Numerical Python adds a fast array facility to the Python language
41
Numpy contains a powerful N-dimensional array object,
42
sophisticated (broadcasting) functions, tools for integrating C/C++
43
and Fortran code, and useful linear algebra, Fourier transform, and
44
random number capabilities. It derives from the old Numeric code
45
base and can be used as a replacement for Numeric. It also adds the
46
features introduced by numarray and can be used to replace numarray.
47
Numeric users should find the transition very easy
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This package contains development files to build python modules based on Numpy.
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Depends: python-numpy (>= 1.0.1-1)
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Description: NumPy adds a fast array facility to the Python language
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This package is a transitional package; it can safely be
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removed after an upgrade.
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Package: python-numpy-doc
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Description: Numpy documentation
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This package contains a powerful N-dimensional array object,
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sophisticated (broadcasting) functions, tools for integrating C/C++
56
and Fortran code, and useful linear algebra, Fourier transform, and
57
random number capabilities. It derives from the old Numeric code
58
base and can be used as a replacement for Numeric. It also adds the
59
features introduced by numarray and can be used to replace numarray.
60
Numeric users should find the transition very easy
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This package contains documentation for f2py subpackage
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Description: NumPy documentation
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Numpy contains a powerful N-dimensional array object, sophisticated
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(broadcasting) functions, tools for integrating C/C++ and Fortran
61
code, and useful linear algebra, Fourier transform, and random number
64
Numpy replaces the python-numeric and python-numarray modules which
65
are now deprecated and shouldn't be used except to support older
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This package contains documentation for Numpy and f2py.