upstream/ipython Files · debian/control

Make set_term_title() default to no-op, as it can cause problems....

Make set_term_title() default to no-op, as it can cause problems. In embedded contexts this can corrupt stdout (e.g. gedit ipython plugin), by default ipython should be 'safe' to use in all contexts. The user-facing terminal app can activate more aggressive configurations as needed. Added an API call to actually toggle the state, and deprecated the old one (which could only disable but not enable).

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        Ville M. Vainio
    
crlf -> lf

              r1032
            
      Source: ipython

        ville
    
applied .deb build changes from ubuntu hardy source package

              r1178
            
      Section: python

        Ville M. Vainio
    
crlf -> lf

              r1032
            
      Priority: optional

        ville
    
applied .deb build changes from ubuntu hardy source package

              r1178
            
      Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>

      Uploaders: Norbert Tretkowski <nobse@debian.org>, Bernd Zeimetz <bernd@bzed.de>

      Build-Depends: debhelper (>= 5.0.37.2), dpatch (>= 2.0.10), cdbs (>= 0.4.43), python, python-support (>= 0.4)

      Homepage: http://ipython.scipy.org/

      Vcs-Svn: svn://svn.debian.org/python-modules/packages/ipython/trunk/

      Vcs-Browser: http://svn.debian.org/wsvn/python-modules/packages/ipython/trunk/

      Standards-Version: 3.7.2.2

        Ville M. Vainio
    
crlf -> lf

              r1032
            
      Package: ipython

      Architecture: all

        ville
    
applied .deb build changes from ubuntu hardy source package

              r1178
            
      Depends: ${python:Depends}, ${misc:Depends}, python-pexpect

      Conflicts: python2.3-ipython, python2.4-ipython, ipython-common

      Replaces: python2.3-ipython, python2.4-ipython, ipython-common

      Suggests: python-profiler, python-numeric, python-numeric-ext, python-matplotlib

      Description: enhanced interactive Python shell

       IPython 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 embeddable in other Python programs.

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Ville M. Vainio crlf -> lf	r1032	Source: ipython
ville applied .deb build changes from ubuntu hardy source package	r1178	Section: python
Ville M. Vainio crlf -> lf	r1032	Priority: optional
ville applied .deb build changes from ubuntu hardy source package	r1178	Maintainer: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
		Uploaders: Norbert Tretkowski <nobse@debian.org>, Bernd Zeimetz <bernd@bzed.de>
		Build-Depends: debhelper (>= 5.0.37.2), dpatch (>= 2.0.10), cdbs (>= 0.4.43), python, python-support (>= 0.4)
		Homepage: http://ipython.scipy.org/
		Vcs-Svn: svn://svn.debian.org/python-modules/packages/ipython/trunk/
		Vcs-Browser: http://svn.debian.org/wsvn/python-modules/packages/ipython/trunk/
		Standards-Version: 3.7.2.2
Ville M. Vainio crlf -> lf	r1032
		Package: ipython
		Architecture: all
ville applied .deb build changes from ubuntu hardy source package	r1178	Depends: ${python:Depends}, ${misc:Depends}, python-pexpect
		Conflicts: python2.3-ipython, python2.4-ipython, ipython-common
		Replaces: python2.3-ipython, python2.4-ipython, ipython-common
		Suggests: python-profiler, python-numeric, python-numeric-ext, python-matplotlib
		Description: enhanced interactive Python shell
		IPython 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 embeddable in other Python programs.