Package: python-numpy-doc

Emilio Pozuelo Monfort pochu at ubuntu.com
Wed Apr 30 00:36:20 BST 2008


Gunnar Koppel wrote:
> Ühel kenal päeval (kolmapäev, 30. aprill 2008) kirjutas Emilio Pozuelo 
> Monfort:
> 
>> Sorry, I don't think I understand your question. This package indeed
>> contains NumPy's documentation.
> 
> Here is listing i got:
> $ dpkg -L  python-numpy-doc
> /.
> /usr
> /usr/share
> /usr/share/doc
> /usr/share/doc/python-numpy-doc
> /usr/share/doc/python-numpy-doc/copyright
> /usr/share/doc/python-numpy-doc/FAQ.txt.gz
> /usr/share/doc/python-numpy-doc/index.html
> /usr/share/doc/python-numpy-doc/README.txt.gz
> /usr/share/doc/python-numpy-doc/OLDNEWS.txt
> /usr/share/doc/python-numpy-doc/TESTING.txt
> /usr/share/doc/python-numpy-doc/THANKS.txt
> /usr/share/doc/python-numpy-doc/default.css
> /usr/share/doc/python-numpy-doc/docutils.conf
> /usr/share/doc/python-numpy-doc/hello.f
> /usr/share/doc/python-numpy-doc/pyforttest.pyf
> /usr/share/doc/python-numpy-doc/pytest.py
> /usr/share/doc/python-numpy-doc/simple.f
> /usr/share/doc/python-numpy-doc/simple_session.dat
> /usr/share/doc/python-numpy-doc/usersguide
> /usr/share/doc/python-numpy-doc/usersguide/allocarr.f90
> /usr/share/doc/python-numpy-doc/usersguide/allocarr_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/array.f
> /usr/share/doc/python-numpy-doc/usersguide/array_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/calculate.f
> /usr/share/doc/python-numpy-doc/usersguide/calculate_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/callback.f
> /usr/share/doc/python-numpy-doc/usersguide/callback2.pyf
> /usr/share/doc/python-numpy-doc/usersguide/callback_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/common.f
> /usr/share/doc/python-numpy-doc/usersguide/common_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/compile_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/default.css
> /usr/share/doc/python-numpy-doc/usersguide/docutils.conf
> /usr/share/doc/python-numpy-doc/usersguide/extcallback.f
> /usr/share/doc/python-numpy-doc/usersguide/extcallback_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/fib1.f
> /usr/share/doc/python-numpy-doc/usersguide/fib1.pyf
> /usr/share/doc/python-numpy-doc/usersguide/fib2.pyf
> /usr/share/doc/python-numpy-doc/usersguide/fib3.f
> /usr/share/doc/python-numpy-doc/usersguide/ftype.f
> /usr/share/doc/python-numpy-doc/usersguide/ftype_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/moddata.f90
> /usr/share/doc/python-numpy-doc/usersguide/moddata_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/run_main_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/scalar.f
> /usr/share/doc/python-numpy-doc/usersguide/scalar_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/setup_example.py
> /usr/share/doc/python-numpy-doc/usersguide/spam.pyf
> /usr/share/doc/python-numpy-doc/usersguide/spam_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/string.f
> /usr/share/doc/python-numpy-doc/usersguide/string_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/var.pyf
> /usr/share/doc/python-numpy-doc/usersguide/var_session.dat
> /usr/share/doc/python-numpy-doc/usersguide/index.txt.gz
> /usr/share/doc/python-numpy-doc/changelog.Debian.gz
> /usr/share/doc/python-numpy-doc/HISTORY.txt.gz
> 
> So there are lot of *.f files, which i can't see as documentation. 
> In file /usr/share/doc/python-numpy-doc/index.html (only reasonable file to 
> look for documentation) begins as "F2PY Users Guide and Reference Manual". Is 
> this NumPy documentation or Fortran2Python doc? 
> It is OK, that  python-numpy-doc_1%%3a1.0.3-1ubuntu2_i386.deb contains the 
> files listed above?
> 

I see now. Yes, it is. That's because python-numpy ships F2PY too, and the
source package contains F2PY's documentation. The long description of
python-numpy-doc explains this:

Description: NumPy documentation
 This package contains a powerful N-dimensional array object, sophisticated
(broadcasting) functions, tools for integrating C/C++ and Fortran code, and
useful linear algebra, Fourier transform, and random
 number capabilities.  It 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 be used to replace numarray. Numeric
 users should find the transition very easy

 This package contains documentation for the f2py subpackage.


However the source package also contains documentation for NumPy. You can
browser it at numpy/doc/html/index.html in the source package. Please, file a
bug report about this.

Regards,
Emilio

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