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Backport PR #2384: Adapt inline backend to changes in matplotlib...
Backport PR #2384: Adapt inline backend to changes in matplotlib Matplotlib recently merged https://github.com/matplotlib/matplotlib/pull/1125 that makes it simpler to use objective oriented figure creation by automatically creating the right canvas for the backend. To solve that all backends must provide a backend_xxx.FigureCanvas. This is obviosly missing from the inline backend. The change is needed to make the inline backend work with mpl's 1.2.x branch which is due to released soon. Simply setting the default canvas equal to a Agg canvas appears to work for both svg and png figures but I'm not sure weather that is the right approach. Should the canvas depend on the figure format and provide a svg canvas for a svg figure? (Note that before this change to matplotlib the canvas from a plt.figure call seams to be a agg type in all cases) Edit: I made the pull request against 0.13.1 since it would be good to have this in the stable branch for when mpl is released. Just let me know and I can rebase it against master

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refbug.py
47 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
#-----------------------------------------------------------------------------
import sys
from IPython.core import ipapi
#-----------------------------------------------------------------------------
# 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 = ipapi.get()
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()