upstream/ipython Files · IPython/core/tests/refbug.py

This feature was discussed in , but it doesn't look like anything was ever incorporated into the IPython Notebook....

This feature was discussed in , but it doesn't look like anything was ever incorporated into the IPython Notebook. Here's a brief overview of the changes: - Display of messages from other clients can be toggled on and off from within a notebook, either using the ``<M-m>e`` keyboard shortcut in the web UI, or through the option in the "Kernel" menu. - notebook.js controls whether messages are displayed through a callback that is invoked from kernel.js when no callbacks are available for a message. - The UI displays ``execute_input`` messages originating from an other clients in new cells at the end of the notebook. Output messages (``execute_result`` et al.) will only be displayed if a cell exists with a matching message ID. Pending design questions: - Should each ``execute_input`` message cause a new cell to be created? - Should new cells be placed at the end of the notebook, or elsewhere? If the latter, what criteria should be followed?

Thomas Kluyver - - Load All Authors

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      """Minimal script to reproduce our nasty reference counting bug.

      The problem is related to https://github.com/ipython/ipython/issues/141

      The original fix for that appeared to work, but John D. Hunter found a

      matplotlib example which, when run twice in a row, would break.  The problem

      were references held by open figures to internals of Tkinter.

      This code reproduces the problem that John saw, without matplotlib.

      This script is meant to be called by other parts of the test suite that call it

      via %run as if it were executed interactively by the user. As of 2011-05-29,

      test_run.py calls it.

      """

      from __future__ import print_function

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

      # Module imports

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

      import sys

      from IPython import get_ipython

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

      # Globals

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

      # This needs to be here because nose and other test runners will import

      # this module. Importing this module has potential side effects that we

      # want to prevent.

      if __name__ == '__main__':

          ip = get_ipython()

          if not '_refbug_cache' in ip.user_ns:

              ip.user_ns['_refbug_cache'] = []

          aglobal = 'Hello'

          def f():

              return aglobal

          cache = ip.user_ns['_refbug_cache']

          cache.append(f)

          def call_f():

              for func in cache:

                  print('lowercased:',func().lower())

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				"""Minimal script to reproduce our nasty reference counting bug.

				The problem is related to https://github.com/ipython/ipython/issues/141

				The original fix for that appeared to work, but John D. Hunter found a
				matplotlib example which, when run twice in a row, would break. The problem
				were references held by open figures to internals of Tkinter.

				This code reproduces the problem that John saw, without matplotlib.

				This script is meant to be called by other parts of the test suite that call it
				via %run as if it were executed interactively by the user. As of 2011-05-29,
				test_run.py calls it.
				"""
				from __future__ import print_function

				#-----------------------------------------------------------------------------
				# Module imports
				#-----------------------------------------------------------------------------
				import sys

				from IPython import get_ipython

				#-----------------------------------------------------------------------------
				# Globals
				#-----------------------------------------------------------------------------

				# This needs to be here because nose and other test runners will import
				# this module. Importing this module has potential side effects that we
				# want to prevent.
				if __name__ == '__main__':

				ip = get_ipython()

				if not '_refbug_cache' in ip.user_ns:
				ip.user_ns['_refbug_cache'] = []


				aglobal = 'Hello'
				def f():
				return aglobal

				cache = ip.user_ns['_refbug_cache']
				cache.append(f)

				def call_f():
				for func in cache:
				print('lowercased:',func().lower())