include dtype itself in metadata, not str representation

which is totally wrong for recarrays

IPython/utils/newserialized.py

@@ -1,177 +1,177 b''
 # 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) 2008-2011  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 sys
 import cPickle as pickle
 
 try:
     import numpy
 except ImportError:
     numpy = None
 
 class SerializationError(Exception):
     pass
 
 if sys.version_info[0] >= 3:
     buffer = memoryview
     py3k = True
 else:
     py3k = False
     if sys.version_info[:2] <= (2,6):
         memoryview = buffer
 
 #-----------------------------------------------------------------------------
 # Classes and functions
 #-----------------------------------------------------------------------------
 
 class ISerialized:
     
     def getData():
         """"""
 
     def getDataSize(units=10.0**6):
         """"""
 
     def getTypeDescriptor():
         """"""
 
     def getMetadata():
         """"""
         
         
 class IUnSerialized:
     
     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 numpy is not None and isinstance(self.obj, numpy.ndarray):
             if len(self.obj.shape) == 0: # length 0 arrays are just pickled
                 self.typeDescriptor = 'pickle'
                 self.metadata = {}
             else:
                 self.obj = numpy.ascontiguousarray(self.obj, dtype=None)
                 self.typeDescriptor = 'ndarray'
                 self.metadata = {'shape':self.obj.shape,
-                                 'dtype':self.obj.dtype.str}
+                                 'dtype':self.obj.dtype}
         elif isinstance(self.obj, bytes):
             self.typeDescriptor = 'bytes'
             self.metadata = {}
         elif isinstance(self.obj, buffer):
             self.typeDescriptor = 'buffer'
             self.metadata = {}
         else:
             self.typeDescriptor = 'pickle'
             self.metadata = {}
         self._generateData()
     
     def _generateData(self):
         if self.typeDescriptor == 'ndarray':
             self.data = buffer(self.obj)
         elif self.typeDescriptor in ('bytes', 'buffer'):
             self.data = self.obj
         elif self.typeDescriptor == 'pickle':
             self.data = pickle.dumps(self.obj, -1)
         else:
             raise SerializationError("Really wierd serialization error.")
         del self.obj
         
     def getData(self):
         return self.data
         
     def getDataSize(self, units=10.0**6):
         return 1.0*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 numpy is not None and typeDescriptor == 'ndarray':
                 buf = self.serialized.getData()
                 if isinstance(buf, (bytes, buffer, memoryview)):
                     result = numpy.frombuffer(buf, dtype = self.serialized.metadata['dtype'])
                 else:
                     raise TypeError("Expected bytes or buffer/memoryview, but got %r"%type(buf))
                 result.shape = self.serialized.metadata['shape']
         elif typeDescriptor == 'pickle':
             result = pickle.loads(self.serialized.getData())
         elif typeDescriptor in ('bytes', 'buffer'):
             result = self.serialized.getData()
         else:
             raise SerializationError("Really wierd serialization error.")
         return result
 
 def serialize(obj):
     return SerializeIt(UnSerialized(obj))
     
 def unserialize(serialized):
     return UnSerializeIt(serialized).getObject()