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

Merge pull request from bfroehle/use_alias_magic...

Merge pull request from bfroehle/use_alias_magic Add an API for registering magic aliases. Add a method `register_alias` to `MagicsManager` which can be used to register new magic aliases. Each magic alias is an instance of `MagicAlias`, a helper class whose `__call__` looks up the target of the alias (at call time) and dispatches the magic call. As a future benefit, this could be easily extended to allow for new aliases which contain some flags to pass to the function. For example, it would be easy to change the behavior to allow the creation of an `%ex` alias for `%edit -x`.

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()