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Merging -r 1196 from lp:ipython....
Merging -r 1196 from lp:ipython. A couple of issues came up: * Some tests in testing and frontend rely on twisted, but are being tested with nose. This is bad! We currently have hackish logic in iptest to skip these if twisted is not installed, but if it is we are testing them with nose! * Some modules (engineservice, kernel/error, newserialized) have nose skip logic even though they should never be tested with nose. * When trial is run on testStrictDict we get an uncaught error. testStrictDict ... ERROR: An unexpected error occurred while tokenizing input The following traceback may be corrupted or invalid The error message is: ('EOF in multi-line statement', (37, 0))

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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()