upstream/ipython Files · IPython/utils/decorators.py

Merge pull request from takluyver/prompt-manager...

Merge pull request from takluyver/prompt-manager Prompt manager refactoring: use a new `PromptManager` class responsible for handling everything to do with the prompts. The critical part is its `render` method, which assembles the necessary information, then uses the string formatting introduced in Python 2.6 to fill in the prompt template. I've expanded the definition of 'prompts' to include the auto_rewrite prompt (`"------> "` by default). So there are now four prompts: input, continuation, output, and rewrite. This definition of prompts does not include input/output separators. For now, I've left those as attributes of the main InteractiveShell object.

Matthias BUSSONNIER - - Load All Authors

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      # encoding: utf-8

      """Decorators that don't go anywhere else.

      This module contains misc. decorators that don't really go with another module

      in :mod:`IPython.utils`. Beore putting something here please see if it should

      go into another topical module in :mod:`IPython.utils`.

      """

      #-----------------------------------------------------------------------------

      #  Copyright (C) 2008-2011  The IPython Development Team

      #

      #  Distributed under the terms of the BSD License.  The full license is in

      #  the file COPYING, distributed as part of this software.

      #-----------------------------------------------------------------------------

      #-----------------------------------------------------------------------------

      # Imports

      #-----------------------------------------------------------------------------

      #-----------------------------------------------------------------------------

      # Code

      #-----------------------------------------------------------------------------

      def flag_calls(func):

          """Wrap a function to detect and flag when it gets called.

          This is a decorator which takes a function and wraps it in a function with

          a 'called' attribute. wrapper.called is initialized to False.

          The wrapper.called attribute is set to False right before each call to the

          wrapped function, so if the call fails it remains False.  After the call

          completes, wrapper.called is set to True and the output is returned.

          Testing for truth in wrapper.called allows you to determine if a call to

          func() was attempted and succeeded."""

          def wrapper(*args,**kw):

              wrapper.called = False

              out = func(*args,**kw)

              wrapper.called = True

              return out

          wrapper.called = False

          wrapper.__doc__ = func.__doc__

          return wrapper

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				# encoding: utf-8
				"""Decorators that don't go anywhere else.

				This module contains misc. decorators that don't really go with another module
				in :mod:`IPython.utils`. Beore putting something here please see if it should
				go into another topical module in :mod:`IPython.utils`.
				"""

				#-----------------------------------------------------------------------------
				# Copyright (C) 2008-2011 The IPython Development Team
				#
				# Distributed under the terms of the BSD License. The full license is in
				# the file COPYING, distributed as part of this software.
				#-----------------------------------------------------------------------------

				#-----------------------------------------------------------------------------
				# Imports
				#-----------------------------------------------------------------------------

				#-----------------------------------------------------------------------------
				# Code
				#-----------------------------------------------------------------------------

				def flag_calls(func):
				"""Wrap a function to detect and flag when it gets called.

				This is a decorator which takes a function and wraps it in a function with
				a 'called' attribute. wrapper.called is initialized to False.

				The wrapper.called attribute is set to False right before each call to the
				wrapped function, so if the call fails it remains False. After the call
				completes, wrapper.called is set to True and the output is returned.

				Testing for truth in wrapper.called allows you to determine if a call to
				func() was attempted and succeeded."""

				def wrapper(args,*kw):
				wrapper.called = False
				out = func(args,*kw)
				wrapper.called = True
				return out

				wrapper.called = False
				wrapper.__doc__ = func.__doc__
				return wrapper