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Reduce the number of test on Appveyor....
Reduce the number of test on Appveyor. Appveyor is way slower than Travis, in part because we test on more architecture. In particular 32 and 64 bits. And accumulate delay sometime leading to 30 min between travis success and AppVeyor response. 32 Bits OSes are starting to be rare (or not our target, like tablets). Less that 1/5 market share is some survey, and account for more than 2/3 of our testing time. So slash 3 out of 4 testing on 32 bits. Test only python 3.6 32 bits. (I know that's paradoxal are mostly old system are 32 bits... but do we expect people with old system and old python to use new IPython ?) For example: Windows Arch Share Windows 10 64 bit 36.97% Windows 7 64 bit 32.99% Windows 8.1 64 bit 12.93% Windows 8 64 bit 1.64% Windows Vista 64 bit 0.13% Windows 7 32 bit 6.97% Windows XP 32 bit 2.00% Windows 10 32 bit 1.31% Windows 8.1 32 bit 0.34% Windows Vista 32 bit 0.24% Windows 8 32 bit 0.15% Total about 83ish % of 64 bits. Source: http://www.digitaltrends.com/computing/steam-users-windows-10-market-share/ and http://store.steampowered.com/hwsurvey?platform=pc

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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