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

Backport PR : Adapt inline backend to changes in matplotlib...

Backport PR : Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master

Thomas Kluyver - - Load All Authors

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      """Simple script to be run *twice*, to check reference counting bugs.

      See test_run for details."""

      from __future__ import print_function

      import sys

      # We want to ensure that while objects remain available for immediate access,

      # objects from *previous* runs of the same script get collected, to avoid

      # accumulating massive amounts of old references.

      class C(object):

          def __init__(self,name):

              self.name = name

              self.p = print

              self.flush_stdout = sys.stdout.flush

          def __del__(self):

              self.p('tclass.py: deleting object:',self.name)

              self.flush_stdout()

      try:

          name = sys.argv[1]

      except IndexError:

          pass

      else:

          if name.startswith('C'):

              c = C(name)

      #print >> sys.stderr, "ARGV:", sys.argv  # dbg

      # This next print statement is NOT debugging, we're making the check on a

      # completely separate process so we verify by capturing stdout:

      print('ARGV 1-:', sys.argv[1:])

      sys.stdout.flush()

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				"""Simple script to be run twice, to check reference counting bugs.

				See test_run for details."""

				from __future__ import print_function

				import sys

				# We want to ensure that while objects remain available for immediate access,
				# objects from previous runs of the same script get collected, to avoid
				# accumulating massive amounts of old references.
				class C(object):
				def __init__(self,name):
				self.name = name
				self.p = print
				self.flush_stdout = sys.stdout.flush

				def __del__(self):
				self.p('tclass.py: deleting object:',self.name)
				self.flush_stdout()

				try:
				name = sys.argv[1]
				except IndexError:
				pass
				else:
				if name.startswith('C'):
				c = C(name)

				#print >> sys.stderr, "ARGV:", sys.argv # dbg

				# This next print statement is NOT debugging, we're making the check on a
				# completely separate process so we verify by capturing stdout:
				print('ARGV 1-:', sys.argv[1:])
				sys.stdout.flush()