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

Merge pull request from minrk/captureio...

Merge pull request from minrk/captureio New `%%capture` cell magic captures stdout/err while running a cell. Uses `capture_output()` context manager, moved to utils.io from IPython.parallel testing utilities, where it originated. The caputre objects can be printed as a string, case in which they display the captured stdout, which is also available as `.stdout`. The captured stderr, if any, is in a `.stderr` attribute. A `.show()` method can be called to quickly print both, with stderr being correctly printed to the sys.stderr stream (so the notebook displays it with red highlighting). closes

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()