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Add new '%autoreload 3' option...
Add new '%autoreload 3' option Example: When an IPython session is ran with the 'autoreload' extension, you will now have the option '3' to select which means the following: 1. replicate all functionality from option 2 2. autoload all new funcs/classes/enums/globals from the module when they're added 3. autoload all newly imported funcs/classes/enums/globals from external modules Try ``%autoreload 3`` in an IPython session after running ``%load_ext autoreload`` For more information please see unit test - extensions/tests/test_autoreload.py : 'test_autoload_newly_added_objects'

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refbug.py
46 lines | 1.5 KiB | text/x-python | PythonLexer
"""Minimal script to reproduce our nasty reference counting bug.
The problem is related to https://github.com/ipython/ipython/issues/141
The original fix for that appeared to work, but John D. Hunter found a
matplotlib example which, when run twice in a row, would break. The problem
were references held by open figures to internals of Tkinter.
This code reproduces the problem that John saw, without matplotlib.
This script is meant to be called by other parts of the test suite that call it
via %run as if it were executed interactively by the user. As of 2011-05-29,
test_run.py calls it.
"""
#-----------------------------------------------------------------------------
# Module imports
#-----------------------------------------------------------------------------
from IPython import get_ipython
#-----------------------------------------------------------------------------
# Globals
#-----------------------------------------------------------------------------
# This needs to be here because nose and other test runners will import
# this module. Importing this module has potential side effects that we
# want to prevent.
if __name__ == '__main__':
ip = get_ipython()
if not '_refbug_cache' in ip.user_ns:
ip.user_ns['_refbug_cache'] = []
aglobal = 'Hello'
def f():
return aglobal
cache = ip.user_ns['_refbug_cache']
cache.append(f)
def call_f():
for func in cache:
print('lowercased:',func().lower())