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newserialized.py
163 lines | 4.7 KiB | text/x-python | PythonLexer
# encoding: utf-8
# -*- test-case-name: IPython.kernel.test.test_newserialized -*-
"""Refactored serialization classes and interfaces."""
__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 zope.interface import Interface, implements
from twisted.python import components
try:
import numpy
except ImportError:
pass
from IPython.kernel.error import SerializationError
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()