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

Python vs IPython: recommend %cd, %env over !cd, !export...

Python vs IPython: recommend %cd, %env over !cd, !export The quick overview mentioned `!cd DIR` among examples of shell commands one might use —but that doesn't work as user would hope (can only affect commands in same ! e.g. `!cd /; pwd`). That's not as bad now that `!cd` prints a warning, but IMHO better to provide the right mental model up front. => Replaced that with minimal motivation why `!cd` and `!export` can't work, recommending some %magic alternatives; moved it out of examples to not distract, and right before Magics section.

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

      See test_run for details."""

      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("ARGV:", sys.argv, file=sys.stderr)  # 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."""


				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("ARGV:", sys.argv, file=sys.stderr) # 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()