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

Refuse to install event loop hooks when not using `prompt_toolkit` (#14132)...

Refuse to install event loop hooks when not using `prompt_toolkit` (#14132) Without this, `%gui` is effectively a no-op but the user thinks it works. For example. If running `ipython`: ``` In [1]: import matplotlib; matplotlib.use('QtAgg'); from matplotlib import pyplot; pyplot.ion(); pyplot.plot([1, 2, 3, 4]) Installed qt6 event loop hook. Out[1]: [<matplotlib.lines.Line2D at 0x1ba2f59d2a0>] ``` The window appears and responds as expected. If running `ipython --simple-prompt`, the user would see the same output, when in fact no event loop hook was installed since it's not supported without `prompt_toolkit`. The resulting Qt window is unresponsive because the event loop is not running, i.e. with `--simple-prompt`, Qt windows should block (but `pyplot` doesn't/can't know to do that) With this PR, the user will see: ``` In [1]: import matplotlib; matplotlib.use('QtAgg'); from matplotlib import pyplot; pyplot.ion(); pyplot.plot([1, 2, 3, 4]) Cannot install event loop hook for "qt" when running with `--simple-prompt`. NOTE: Tk is supported natively; use Tk apps and Tk backends with `--simple-prompt`. Out[1]: [<matplotlib.lines.Line2D at 0x170be0c0310>] ``` They'll still get an unresponsive Qt window, but they'll at least be told this can't work (while anything using Tk will work just fine).

Matthias Bussonnier - - Load All Authors

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      # 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 chop(seq, size):

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

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

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