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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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pbutil.py
91 lines | 3.1 KiB | text/x-python | PythonLexer
Brian E Granger
This is a manual merge of certain things in the ipython1-dev branch, revision 46, into the main ...
r1234 # encoding: utf-8
"""Utilities for PB using modules."""
__docformat__ = "restructuredtext en"
#-------------------------------------------------------------------------------
# Copyright (C) 2008 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-------------------------------------------------------------------------------
#-------------------------------------------------------------------------------
# Imports
#-------------------------------------------------------------------------------
import cPickle as pickle
from twisted.python.failure import Failure
from twisted.python import failure
from IPython.kernel import pbconfig
from IPython.kernel.error import PBMessageSizeError, UnpickleableException
#-------------------------------------------------------------------------------
# The actual utilities
#-------------------------------------------------------------------------------
def packageFailure(f):
"""Clean and pickle a failure preappending the string FAILURE:"""
f.cleanFailure()
# This is sometimes helpful in debugging
#f.raiseException()
try:
pString = pickle.dumps(f, 2)
except pickle.PicklingError:
# Certain types of exceptions are not pickleable, for instance ones
# from Boost.Python. We try to wrap them in something that is
f.type = UnpickleableException
f.value = UnpickleableException(str(f.type) + ": " + str(f.value))
pString = pickle.dumps(f, 2)
return 'FAILURE:' + pString
def unpackageFailure(r):
"""
See if a returned value is a pickled Failure object.
To distinguish between general pickled objects and pickled Failures, the
other side should prepend the string FAILURE: to any pickled Failure.
"""
if isinstance(r, str):
if r.startswith('FAILURE:'):
try:
result = pickle.loads(r[8:])
except pickle.PickleError:
return failure.Failure( \
Brian Granger
Work to address the review comments on Fernando's branch....
r2498 UnpickleableException("Could not unpickle failure."))
Brian E Granger
This is a manual merge of certain things in the ipython1-dev branch, revision 46, into the main ...
r1234 else:
return result
return r
def checkMessageSize(m, info):
"""Check string m to see if it violates banana.SIZE_LIMIT.
This should be used on the client side of things for push, scatter
and push_serialized and on the other end for pull, gather and pull_serialized.
:Parameters:
`m` : string
Message whose size will be checked.
`info` : string
String describing what object the message refers to.
:Exceptions:
- `PBMessageSizeError`: Raised in the message is > banana.SIZE_LIMIT
:returns: The original message or a Failure wrapping a PBMessageSizeError
"""
if len(m) > pbconfig.banana.SIZE_LIMIT:
s = """Objects too big to transfer:
Names: %s
Actual Size (kB): %d
SIZE_LIMIT (kB): %d
* SIZE_LIMIT can be set in kernel.pbconfig""" \
% (info, len(m)/1024, pbconfig.banana.SIZE_LIMIT/1024)
return Failure(PBMessageSizeError(s))
else:
return m