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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_debugger.py
123 lines | 3.7 KiB | text/x-python | PythonLexer
"""Tests for debugging machinery.
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2012, The IPython Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import sys
# third-party
import nose.tools as nt
# Our own
from IPython.core import debugger
#-----------------------------------------------------------------------------
# Helper classes, from CPython's Pdb test suite
#-----------------------------------------------------------------------------
class _FakeInput(object):
"""
A fake input stream for pdb's interactive debugger. Whenever a
line is read, print it (to simulate the user typing it), and then
return it. The set of lines to return is specified in the
constructor; they should not have trailing newlines.
"""
def __init__(self, lines):
self.lines = iter(lines)
def readline(self):
line = next(self.lines)
print line
return line+'\n'
class PdbTestInput(object):
"""Context manager that makes testing Pdb in doctests easier."""
def __init__(self, input):
self.input = input
def __enter__(self):
self.real_stdin = sys.stdin
sys.stdin = _FakeInput(self.input)
def __exit__(self, *exc):
sys.stdin = self.real_stdin
#-----------------------------------------------------------------------------
# Tests
#-----------------------------------------------------------------------------
def test_longer_repr():
from repr import repr as trepr
a = '1234567890'* 7
ar = "'1234567890123456789012345678901234567890123456789012345678901234567890'"
a_trunc = "'123456789012...8901234567890'"
nt.assert_equals(trepr(a), a_trunc)
# The creation of our tracer modifies the repr module's repr function
# in-place, since that global is used directly by the stdlib's pdb module.
t = debugger.Tracer()
nt.assert_equals(trepr(a), ar)
def test_ipdb_magics():
'''Test calling some IPython magics from ipdb.
First, set up some test functions and classes which we can inspect.
>>> class ExampleClass(object):
... """Docstring for ExampleClass."""
... def __init__(self):
... """Docstring for ExampleClass.__init__"""
... pass
... def __str__(self):
... return "ExampleClass()"
>>> def example_function(x, y, z="hello"):
... """Docstring for example_function."""
... pass
Create a function which triggers ipdb.
>>> def trigger_ipdb():
... a = ExampleClass()
... debugger.Pdb().set_trace()
>>> with PdbTestInput([
... 'pdef example_function',
... 'pdoc ExampleClass',
... 'pinfo a',
... 'continue',
... ]):
... trigger_ipdb()
--Return--
None
> <doctest ...>(3)trigger_ipdb()
1 def trigger_ipdb():
2 a = ExampleClass()
----> 3 debugger.Pdb().set_trace()
<BLANKLINE>
ipdb> pdef example_function
example_function(x, y, z='hello')
ipdb> pdoc ExampleClass
Class Docstring:
Docstring for ExampleClass.
Constructor Docstring:
Docstring for ExampleClass.__init__
ipdb> pinfo a
Type: ExampleClass
String Form:ExampleClass()
Namespace: Locals
File: ...
Docstring: Docstring for ExampleClass.
Constructor Docstring:Docstring for ExampleClass.__init__
ipdb> continue
'''