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Add support for simultaneous interactive and inline matplotlib plots....
Add support for simultaneous interactive and inline matplotlib plots. In purely svg mode, there is now no lag with draw() operations, they just produce the figure immediately. And in gui mode, a new function, 'paste', is added to plt and to the user's namespace, that pastes open figures from GUI windows into the editing widget as inline SVGs.

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test_message_spec.py
40 lines | 1010 B | text/x-python | PythonLexer
/ IPython / zmq / tests / test_message_spec.py
"""Test suite for our zeromq-based messaging specification.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING.txt, distributed as part of this software.
#-----------------------------------------------------------------------------
import sys
import time
import nose.tools as nt
from ..blockingkernelmanager import BlockingKernelManager
from IPython.utils import io
def setup():
global KM
KM = BlockingKernelManager()
KM.start_kernel()
KM.start_channels()
# Give the kernel a chance to come up.
time.sleep(1)
def teardown():
io.rprint('Entering teardown...') # dbg
io.rprint('Stopping channels and kernel...') # dbg
KM.stop_channels()
KM.kill_kernel()
# Actual tests
def test_execute():
KM.xreq_channel.execute(code='x=1')
KM.xreq_channel.execute(code='print 1')