##// END OF EJS Templates
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

File last commit:

r7115:a8a64ebc
r8562:7d16877a
Show More
test_logger.py
32 lines | 917 B | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""Test IPython.core.logger"""
import os.path
import nose.tools as nt
from IPython.utils.tempdir import TemporaryDirectory
_ip = get_ipython()
def test_logstart_inaccessible_file():
try:
_ip.logger.logstart(logfname="/") # Opening that filename will fail.
except IOError:
pass
else:
nt.assert_true(False) # The try block should never pass.
try:
_ip.run_cell("a=1") # Check it doesn't try to log this
finally:
_ip.logger.log_active = False # If this fails, don't let later tests fail
def test_logstart_unicode():
with TemporaryDirectory() as tdir:
logfname = os.path.join(tdir, "test_unicode.log")
_ip.run_cell("'abc€'")
try:
_ip.magic("logstart -to %s" % logfname)
_ip.run_cell("'abc€'")
finally:
_ip.logger.logstop()