upstream/ipython Files · IPython/utils/data.py

Prevent qtconsole frontend freeze on lots of output....

Prevent qtconsole frontend freeze on lots of output. The output from the kernel is now clipped to last `buffer_size` before displaying and a timer is used to flush the pending output text instead of attempting to display text on every stream output from kernel. The timer interval is adjusted based on actual time taken to append a screenful of text to widget. This throttles the widget repaints and avoids choking the Qt event loop leaving time to handle other Qt events. Test cases: In [1]: for i in xrange(1000000): print i In [2]: range(100000) Without this commit the first input causes the qtconsole frontend to freeze, not responding to `Ctrl+C`.

Thomas Kluyver - - Load All Authors

File last commit:

r9471:ea7d7a7e


                r11519:c7a90e39

Download file

             data.py
        
                    35 lines
            
             | 1.1 KiB
            
                | text/x-python
            
             |
                PythonLexer
            
             / IPython / utils / data.py
          
                    History
                
                 |
                  Annotation
                 | Raw
                 |Copy content
                 |Copy permalink

      # encoding: utf-8

      """Utilities for working with data structures like lists, dicts and tuples.

      """

      #-----------------------------------------------------------------------------

      #  Copyright (C) 2008-2011  The IPython Development Team

      #

      #  Distributed under the terms of the BSD License.  The full license is in

      #  the file COPYING, distributed as part of this software.

      #-----------------------------------------------------------------------------

      def uniq_stable(elems):

          """uniq_stable(elems) -> list

          Return from an iterable, a list of all the unique elements in the input,

          but maintaining the order in which they first appear.

          Note: All elements in the input must be hashable for this routine

          to work, as it internally uses a set for efficiency reasons.

          """

          seen = set()

          return [x for x in elems if x not in seen and not seen.add(x)]

      def flatten(seq):

          """Flatten a list of lists (NOT recursive, only works for 2d lists)."""

          return [x for subseq in seq for x in subseq]

      def chop(seq, size):

          """Chop a sequence into chunks of the given size."""

          return [seq[i:i+size] for i in xrange(0,len(seq),size)]

	Site-wide shortcuts
/	Use quick search box
g h	Goto home page
g g	Goto my private gists page
g G	Goto my public gists page
g 0-9	Goto bookmarked items from 0-9
n r	New repository page
n g	New gist page

	Repositories
g s	Goto summary page
g c	Goto changelog page
g f	Goto files page
g F	Goto files page with file search activated
g p	Goto pull requests page
g o	Goto repository settings
g O	Goto repository access permissions settings
t s	Toggle sidebar on some pages

				# encoding: utf-8
				"""Utilities for working with data structures like lists, dicts and tuples.
				"""

				#-----------------------------------------------------------------------------
				# Copyright (C) 2008-2011 The IPython Development Team
				#
				# Distributed under the terms of the BSD License. The full license is in
				# the file COPYING, distributed as part of this software.
				#-----------------------------------------------------------------------------

				def uniq_stable(elems):
				"""uniq_stable(elems) -> list

				Return from an iterable, a list of all the unique elements in the input,
				but maintaining the order in which they first appear.

				Note: All elements in the input must be hashable for this routine
				to work, as it internally uses a set for efficiency reasons.
				"""
				seen = set()
				return [x for x in elems if x not in seen and not seen.add(x)]


				def flatten(seq):
				"""Flatten a list of lists (NOT recursive, only works for 2d lists)."""

				return [x for subseq in seq for x in subseq]


				def chop(seq, size):
				"""Chop a sequence into chunks of the given size."""
				return [seq[i:i+size] for i in xrange(0,len(seq),size)]