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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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test_autocall.py
45 lines | 971 B | text/x-python | PythonLexer
"""These kinds of tests are less than ideal, but at least they run.
This was an old test that was being run interactively in the top-level tests/
directory, which we are removing. For now putting this here ensures at least
we do run the test, though ultimately this functionality should all be tested
with better-isolated tests that don't rely on the global instance in iptest.
"""
from IPython.utils import py3compat
@py3compat.doctest_refactor_print
def doctest_autocall():
"""
In [1]: def f1(a,b,c):
...: return a+b+c
...:
In [2]: def f2(a):
...: return a + a
...:
In [3]: ;f2 a b c
Out[3]: 'a b ca b c'
In [4]: assert _ == "a b ca b c"
In [5]: ,f1 a b c
Out[5]: 'abc'
In [6]: assert _ == 'abc'
In [7]: print _
abc
In [8]: /f1 1,2,3
Out[8]: 6
In [9]: assert _ == 6
In [10]: /f2 4
Out[10]: 8
In [11]: assert _ == 8
In [11]: del f1, f2
"""