##// END OF EJS Templates
Simplify StreamCapturer for subprocess testing...
Simplify StreamCapturer for subprocess testing Rather than using a transient pipe for each subprocess started, the StreamCapturer now makes a single pipe, and subprocesses redirect their output to it. So long as this works on Windows (I've done brief testing, and os.pipe() seems to be functional), this will hopefully make this much more robust. The recent failures in ShiningPanda on IPython.parallel have been caused by StreamCapturer.

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decorators.py
58 lines | 2.0 KiB | text/x-python | PythonLexer
# 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."""
# don't wrap twice
if hasattr(func, 'called'):
return func
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
def undoc(func):
"""Mark a function or class as undocumented.
This is found by inspecting the AST, so for now it must be used directly
as @undoc, not as e.g. @decorators.undoc
"""
return func