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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_prefilter.py
110 lines | 3.7 KiB | text/x-python | PythonLexer
"""Tests for input manipulation machinery."""
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import nose.tools as nt
from IPython.core.prefilter import AutocallChecker
from IPython.testing import tools as tt, decorators as dec
from IPython.testing.globalipapp import get_ipython
#-----------------------------------------------------------------------------
# Tests
#-----------------------------------------------------------------------------
ip = get_ipython()
@dec.parametric
def test_prefilter():
"""Test user input conversions"""
# pairs of (raw, expected correct) input
pairs = [ ('2+2','2+2'),
('>>> 2+2','2+2'),
('>>> # This is a comment\n'
'... 2+2',
'# This is a comment\n'
'2+2'),
# Some IPython input
('In [1]: 1', '1'),
('In [2]: for i in range(5):\n'
' ...: print i,',
'for i in range(5):\n'
' print i,'),
]
for raw, correct in pairs:
yield nt.assert_equals(ip.prefilter(raw), correct)
@dec.parametric
def test_autocall_binops():
"""See https://github.com/ipython/ipython/issues/81"""
ip.magic('autocall 2')
f = lambda x: x
ip.user_ns['f'] = f
try:
yield nt.assert_equals(ip.prefilter('f 1'),'f(1)')
for t in ['f +1', 'f -1']:
yield nt.assert_equals(ip.prefilter(t), t)
# Run tests again with a more permissive exclude_regexp, which will
# allow transformation of binary operations ('f -1' -> 'f(-1)').
pm = ip.prefilter_manager
ac = AutocallChecker(shell=pm.shell, prefilter_manager=pm,
config=pm.config)
try:
ac.priority = 1
ac.exclude_regexp = r'^[,&^\|\*/]|^is |^not |^in |^and |^or '
pm.sort_checkers()
yield nt.assert_equals(ip.prefilter('f -1'), 'f(-1)')
yield nt.assert_equals(ip.prefilter('f +1'), 'f(+1)')
finally:
pm.unregister_checker(ac)
finally:
ip.magic('autocall 0')
del ip.user_ns['f']
@dec.parametric
def test_issue_114():
"""Check that multiline string literals don't expand as magic
see http://github.com/ipython/ipython/issues/114"""
template = '"""\n%s\n"""'
# Store the current value of multi_line_specials and turn it off before
# running test, since it could be true (case in which the test doesn't make
# sense, as multiline string literals *will* expand as magic in that case).
msp = ip.prefilter_manager.multi_line_specials
ip.prefilter_manager.multi_line_specials = False
try:
for mgk in ip.magics_manager.lsmagic()['line']:
raw = template % mgk
yield nt.assert_equals(ip.prefilter(raw), raw)
finally:
ip.prefilter_manager.multi_line_specials = msp
def test_prefilter_attribute_errors():
"""Capture exceptions thrown by user objects on attribute access.
See http://github.com/ipython/ipython/issues/988."""
class X(object):
def __getattr__(self, k):
raise ValueError('broken object')
def __call__(self, x):
return x
# Create a callable broken object
ip.user_ns['x'] = X()
ip.magic('autocall 2')
try:
# Even if x throws an attribute error when looking at its rewrite
# attribute, we should not crash. So the test here is simply making
# the prefilter call and not having an exception.
ip.prefilter('x 1')
finally:
del ip.user_ns['x']
ip.magic('autocall 0')