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

Simplify caching of modules from %run-ing scripts....

Simplify caching of modules from %run-ing scripts. Previously, we cleared and re-used a single FakeModule instance in which to run cells, and cached copies of the modules' namespaces to prevent them from being cleared. Now, we cache one FakeModule instance per script file, clearing it and re-using it if the same script is re-run. This seems more robust. Closes gh-3547

Thomas Kluyver - - Load All Authors

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             tclass.py
        
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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()