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Mini Shell
Mini Shell
#!/usr/bin/env python
#
# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
# Copyright (c) 2008-2016 California Institute of Technology.
# Copyright (c) 2016-2023 The Uncertainty Quantification Foundation.
# License: 3-clause BSD. The full license text is available at:
# - https://github.com/uqfoundation/dill/blob/master/LICENSE
"""
demonstrate dill's ability to pickle different python types
test pickling of all Python Standard Library objects (currently: CH 1-14 @ 2.7)
"""
import dill as pickle
pickle.settings['recurse'] = True
#pickle.detect.trace(True)
#import pickle
# get all objects for testing
from dill import load_types, objects, extend
load_types(pickleable=True,unpickleable=False)
# uncomment the next two lines to test cloudpickle
#extend(False)
#import cloudpickle as pickle
# helper objects
class _class:
def _method(self):
pass
# objects that *fail* if imported
special = {}
special['LambdaType'] = _lambda = lambda x: lambda y: x
special['MethodType'] = _method = _class()._method
special['UnboundMethodType'] = _class._method
objects.update(special)
def pickles(name, exact=False):
"""quick check if object pickles with dill"""
obj = objects[name]
try:
pik = pickle.loads(pickle.dumps(obj))
if exact:
try:
assert pik == obj
except AssertionError:
assert type(obj) == type(pik)
print ("weak: %s %s" % (name, type(obj)))
else:
assert type(obj) == type(pik)
except Exception:
print ("fails: %s %s" % (name, type(obj)))
def test_objects():
for member in objects.keys():
#pickles(member, exact=True)
pickles(member, exact=False)
if __name__ == '__main__':
import warnings
warnings.simplefilter('ignore')
test_objects()
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