upstream/ipython Files · debian/control

IPython/Extensions/ipipe.py (xiter): Make sure that iterating...

IPython/Extensions/ipipe.py (xiter): Make sure that iterating a string containing a single line yields the string itself as the only item. IPython/Extensions/ibrowse.py (ibrowse): Avoid entering an object if it's the same as the one on the last level (This avoids infinite recursion for one line strings).

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      Source: ipython

      Section: devel

      Priority: optional

      Maintainer: Jack Moffitt <jack@xiph.org>

      Build-Depends-Indep: debhelper (>> 4.1.65), dpatch, python-dev

      Standards-Version: 3.6.1

      Package: ipython

      Architecture: all

      Depends: ${python:Depends}

      Recommends: python-numeric, python-numeric-ext

      Description: An enhanced interactive Python shell

       IPython is an enhanced interactive Python shell.  It can be used as a

       replacement for the standard Python shell, or it can be used as a

       complete working environment for scientific computing (like Matlab or

       Mathematica) when paired with the standard Python scientific and

       numerical tools.  It supports dynamic object introspections, numbered

       input/output prompts, a macro system, session logging, session

       restoring, complete system shell access, verbose and colored

       traceback reports, auto-parentheses, auto-quoting, and is

       embeddedable in other Python programs.

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				Source: ipython
				Section: devel
				Priority: optional
				Maintainer: Jack Moffitt <jack@xiph.org>
				Build-Depends-Indep: debhelper (>> 4.1.65), dpatch, python-dev
				Standards-Version: 3.6.1

				Package: ipython
				Architecture: all
				Depends: ${python:Depends}
				Recommends: python-numeric, python-numeric-ext
				Description: An enhanced interactive Python shell
				IPython is an enhanced interactive Python shell. It can be used as a
				replacement for the standard Python shell, or it can be used as a
				complete working environment for scientific computing (like Matlab or
				Mathematica) when paired with the standard Python scientific and
				numerical tools. It supports dynamic object introspections, numbered
				input/output prompts, a macro system, session logging, session
				restoring, complete system shell access, verbose and colored
				traceback reports, auto-parentheses, auto-quoting, and is
				embeddedable in other Python programs.