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IPython/Extensions/ipipe.py: xrepr(), xiter() and xattrs() are now...
IPython/Extensions/ipipe.py: xrepr(), xiter() and xattrs() are now generic functions (using Philip J. Eby's simplegeneric package). This makes it possible to customize the display of third-party classes without having to monkeypatch them. xiter() no longer supports a mode argument and the XMode class has been removed. The same functionality can be implemented via IterAttributeDescriptor and IterMethodDescriptor. One consequence of the switch to generic functions is that xrepr() and xattrs() implementation must define the default value for the mode argument themselves and xattrs() implementations must return real descriptors. IPython/external: This new subpackage will contain all third-party packages that are bundled with IPython. (The first one is simplegeneric). IPython/Extensions/ipipe.py (ifile/ils): Readd output of the parent directory which as been dropped in r1703. IPython/Extensions/ipipe.py (iless): Fixed. IPython/Extensions/ibrowse: Fixed sorting under Python 2.3. More docstrings. Moved xrepr(), xiter() and xattrs() documentation into the docstring of the default implementation.
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ipythonrc-scipy
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# -*- Mode: Shell-Script -*- Not really, but shows comments correctly
#***************************************************************************
#
# Configuration file for ipython -- ipythonrc format
#
# The format of this file is one of 'key value' lines.
# Lines containing only whitespace at the beginning and then a # are ignored
# as comments. But comments can NOT be put on lines with data.
#***************************************************************************
# This is an example of a 'profile' file which includes a base file and adds
# some customizaton for a particular purpose.
# If this file is found in the user's ~/.ipython directory as ipythonrc-scipy,
# it can be loaded by calling passing the '-profile scipy' (or '-p scipy')
# option to IPython.
# This example is meant to load several modules to turn ipython into a very
# capable environment for high-end numerical work, similar to IDL or MatLab
# but with the beauty of the Python language.
# load our basic configuration with generic options
include ipythonrc
# import ...
# Load Numpy an SciPy by themselves so that 'help' works on them
import_mod numpy scipy
# from ... import ...
import_some
# Now we load all of SciPy
# from ... import *
import_all numpy
import_all scipy