def picklecopy(obj):
"""
Returns a deep copy of argument,
like copy.deepcopy() does, but faster.
To be faster, this function leverages the pickle
module. The following types are safely handled:
* None, True, and False
* integers, long integers, floating point numbers,
complex numbers
* normal and Unicode strings
* tuples, lists, sets, and dictionaries containing
only picklable objects
* functions defined at the top level of a module
* built-in functions defined at the top level of a module
* classes that are defined at the top level of a module
* instances of such classes whose __dict__ or the
result of calling __getstate__() is picklable.
Attempts to pickle unpicklable objects will raise the
PicklingError exception;
For full documentation, see:
https://docs.python.org/2/library/pickle.html
"""
return pickle.loads(pickle.dumps(obj, pickle.HIGHEST_PROTOCOL))
def picklecopy(obj):
"""
Returns a deep copy of argument,
like copy.deepcopy() does, but faster.
To be faster, this function leverages the pickle
module. The following types are safely handled:
* None, True, and False
* integers, long integers, floating point numbers,
complex numbers
* normal and Unicode strings
* tuples, lists, sets, and dictionaries containing
only picklable objects
* functions defined at the top level of a module
* built-in functions defined at the top level of a module
* classes that are defined at the top level of a module
* instances of such classes whose __dict__ or the
result of calling __getstate__() is picklable.
Attempts to pickle unpicklable objects will raise the
PicklingError exception;
For full documentation, see:
https://docs.python.org/2/library/pickle.html
"""
return pickle.loads(pickle.dumps(obj, pickle.HIGHEST_PROTOCOL))
def __init__(self, schema_types, strict_mode):
"""
Constructs schema object based on an iterable of schema type
enumerations and a mode which determines request/response
validation behavior. Usually it is based on api_strict_mode
property from config.py
"""
self._strict_mode = strict_mode
self._methods = {}
self._types = {}
try:
for schema_type in schema_types:
with io.open(schema_type.path(), 'rb') as f:
loaded_schema = pickle.loads(f.read())
types = loaded_schema.pop('types')
self._types.update(types)
self._methods.update(loaded_schema)
except EnvironmentError:
raise SchemaNotFound("Unable to find API schema file")
def __init__(self, schema_types, strict_mode):
"""
Constructs schema object based on an iterable of schema type
enumerations and a mode which determines request/response
validation behavior. Usually it is based on api_strict_mode
property from config.py
"""
self._strict_mode = strict_mode
self._methods = {}
self._types = {}
try:
for schema_type in schema_types:
with io.open(schema_type.path(), 'rb') as f:
loaded_schema = pickle.loads(f.read())
types = loaded_schema.pop('types')
self._types.update(types)
self._methods.update(loaded_schema)
except EnvironmentError:
raise SchemaNotFound("Unable to find API schema file")
def test_pickle_copy(self):
p1 = ProtectedPassword("12345678")
p2 = pickle.loads(pickle.dumps(p1))
self.assertEqual(p1, p2)
def test_pickle_copy(self):
p1 = ProtectedPassword("12345678")
p2 = pickle.loads(pickle.dumps(p1))
self.assertEqual(p1, p2)
