def test_serialized_interfaces(self):
us = {'a': 10, 'b': range(10)}
s = ns.serialize(us)
uus = ns.unserialize(s)
self.assertTrue(isinstance(s, ns.SerializeIt))
self.assertEquals(uus, us)
def test_serialized_interfaces(self):
us = {'a':10, 'b':range(10)}
s = ns.serialize(us)
uus = ns.unserialize(s)
self.assertTrue(isinstance(s, ns.SerializeIt))
self.assertEquals(uus, us)
def test_serialized_interfaces(self):
us = {"a": 10, "b": list(range(10))}
s = ns.serialize(us)
uus = ns.unserialize(s)
self.assertTrue(isinstance(s, ns.SerializeIt))
self.assertEquals(uus, us)
def serialize_object(obj, threshold=64e-6):
"""Serialize an object into a list of sendable buffers.
Parameters
----------
obj : object
The object to be serialized
threshold : float
The threshold for not double-pickling the content.
Returns
-------
('pmd', [bufs]) :
where pmd is the pickled metadata wrapper,
bufs is a list of data buffers
"""
databuffers = []
if isinstance(obj, (list, tuple)):
clist = canSequence(obj)
slist = map(serialize, clist)
for s in slist:
if s.typeDescriptor in ('buffer',
'ndarray') or s.getDataSize() > threshold:
databuffers.append(s.getData())
s.data = None
return pickle.dumps(slist, -1), databuffers
elif isinstance(obj, dict):
sobj = {}
for k in sorted(obj.iterkeys()):
s = serialize(can(obj[k]))
if s.typeDescriptor in ('buffer',
'ndarray') or s.getDataSize() > threshold:
databuffers.append(s.getData())
s.data = None
sobj[k] = s
return pickle.dumps(sobj, -1), databuffers
else:
s = serialize(can(obj))
if s.typeDescriptor in ('buffer',
'ndarray') or s.getDataSize() > threshold:
databuffers.append(s.getData())
s.data = None
return pickle.dumps(s, -1), databuffers
def serialize_object(obj, threshold=64e-6):
"""Serialize an object into a list of sendable buffers.
Parameters
----------
obj : object
The object to be serialized
threshold : float
The threshold for not double-pickling the content.
Returns
-------
('pmd', [bufs]) :
where pmd is the pickled metadata wrapper,
bufs is a list of data buffers
"""
databuffers = []
if isinstance(obj, (list, tuple)):
clist = canSequence(obj)
slist = map(serialize, clist)
for s in slist:
if s.typeDescriptor in ('buffer', 'ndarray') or s.getDataSize() > threshold:
databuffers.append(s.getData())
s.data = None
return pickle.dumps(slist,-1), databuffers
elif isinstance(obj, dict):
sobj = {}
for k in sorted(obj.iterkeys()):
s = serialize(can(obj[k]))
if s.typeDescriptor in ('buffer', 'ndarray') or s.getDataSize() > threshold:
databuffers.append(s.getData())
s.data = None
sobj[k] = s
return pickle.dumps(sobj,-1),databuffers
else:
s = serialize(can(obj))
if s.typeDescriptor in ('buffer', 'ndarray') or s.getDataSize() > threshold:
databuffers.append(s.getData())
s.data = None
return pickle.dumps(s,-1),databuffers
