##// END OF EJS Templates
Lots of work on exception handling, including tests for traceback printing....
Lots of work on exception handling, including tests for traceback printing. We finally have some tests for various exception mode printing, via doctests that exercise all three modes! Also changed handling of sys.exit(X) to only print the summary message, as SystemExit is most often a 'handled' exception. It can still be 100% silenced via '%run -e', but now it's much less intrusive. Added a new %tb magic to print the last available traceback with the current xmode. One can then re-print the last traceback with more detail if desired, without having to cause it again.

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newserialized.py
170 lines | 5.0 KiB | text/x-python | PythonLexer
# encoding: utf-8
# -*- test-case-name: IPython.kernel.test.test_newserialized -*-
"""Refactored serialization classes and interfaces."""
__docformat__ = "restructuredtext en"
# Tell nose to skip this module
__test__ = {}
#-------------------------------------------------------------------------------
# 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 import components
from zope.interface import Interface, implements
try:
import numpy
except ImportError:
pass
from IPython.kernel.error import SerializationError
#-----------------------------------------------------------------------------
# Classes and functions
#-----------------------------------------------------------------------------
class ISerialized(Interface):
def getData():
""""""
def getDataSize(units=10.0**6):
""""""
def getTypeDescriptor():
""""""
def getMetadata():
""""""
class IUnSerialized(Interface):
def getObject():
""""""
class Serialized(object):
implements(ISerialized)
def __init__(self, data, typeDescriptor, metadata={}):
self.data = data
self.typeDescriptor = typeDescriptor
self.metadata = metadata
def getData(self):
return self.data
def getDataSize(self, units=10.0**6):
return len(self.data)/units
def getTypeDescriptor(self):
return self.typeDescriptor
def getMetadata(self):
return self.metadata
class UnSerialized(object):
implements(IUnSerialized)
def __init__(self, obj):
self.obj = obj
def getObject(self):
return self.obj
class SerializeIt(object):
implements(ISerialized)
def __init__(self, unSerialized):
self.data = None
self.obj = unSerialized.getObject()
if globals().has_key('numpy'):
if isinstance(self.obj, numpy.ndarray):
if len(self.obj) == 0: # length 0 arrays can't be reconstructed
raise SerializationError("You cannot send a length 0 array")
self.obj = numpy.ascontiguousarray(self.obj, dtype=None)
self.typeDescriptor = 'ndarray'
self.metadata = {'shape':self.obj.shape,
'dtype':self.obj.dtype.str}
else:
self.typeDescriptor = 'pickle'
self.metadata = {}
else:
self.typeDescriptor = 'pickle'
self.metadata = {}
self._generateData()
def _generateData(self):
if self.typeDescriptor == 'ndarray':
self.data = numpy.getbuffer(self.obj)
elif self.typeDescriptor == 'pickle':
self.data = pickle.dumps(self.obj, 2)
else:
raise SerializationError("Really wierd serialization error.")
del self.obj
def getData(self):
return self.data
def getDataSize(self, units=10.0**6):
return len(self.data)/units
def getTypeDescriptor(self):
return self.typeDescriptor
def getMetadata(self):
return self.metadata
class UnSerializeIt(UnSerialized):
implements(IUnSerialized)
def __init__(self, serialized):
self.serialized = serialized
def getObject(self):
typeDescriptor = self.serialized.getTypeDescriptor()
if globals().has_key('numpy'):
if typeDescriptor == 'ndarray':
result = numpy.frombuffer(self.serialized.getData(), dtype = self.serialized.metadata['dtype'])
result.shape = self.serialized.metadata['shape']
# This is a hack to make the array writable. We are working with
# the numpy folks to address this issue.
result = result.copy()
elif typeDescriptor == 'pickle':
result = pickle.loads(self.serialized.getData())
else:
raise SerializationError("Really wierd serialization error.")
elif typeDescriptor == 'pickle':
result = pickle.loads(self.serialized.getData())
else:
raise SerializationError("Really wierd serialization error.")
return result
components.registerAdapter(UnSerializeIt, ISerialized, IUnSerialized)
components.registerAdapter(SerializeIt, IUnSerialized, ISerialized)
def serialize(obj):
return ISerialized(UnSerialized(obj))
def unserialize(serialized):
return IUnSerialized(serialized).getObject()