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200 lines
4.6 KiB
Python
200 lines
4.6 KiB
Python
#!/usr/bin/env python
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#
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# Author: Mike McKerns (mmckerns @caltech and @uqfoundation)
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# Copyright (c) 2008-2016 California Institute of Technology.
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# Copyright (c) 2016-2019 The Uncertainty Quantification Foundation.
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# License: 3-clause BSD. The full license text is available at:
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# - https://github.com/uqfoundation/dill/blob/master/LICENSE
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import dill
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import sys
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dill.settings['recurse'] = True
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# test classdefs
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class _class:
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def _method(self):
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pass
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def ok(self):
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return True
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class _class2:
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def __call__(self):
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pass
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def ok(self):
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return True
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class _newclass(object):
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def _method(self):
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pass
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def ok(self):
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return True
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class _newclass2(object):
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def __call__(self):
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pass
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def ok(self):
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return True
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class _meta(type):
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pass
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def __call__(self):
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pass
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def ok(self):
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return True
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_mclass = _meta("_mclass", (object,), {"__call__": __call__, "ok": ok})
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del __call__
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del ok
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o = _class()
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oc = _class2()
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n = _newclass()
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nc = _newclass2()
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m = _mclass()
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# test pickles for class instances
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def test_class_instances():
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assert dill.pickles(o)
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assert dill.pickles(oc)
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assert dill.pickles(n)
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assert dill.pickles(nc)
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assert dill.pickles(m)
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def test_class_objects():
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clslist = [_class,_class2,_newclass,_newclass2,_mclass]
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objlist = [o,oc,n,nc,m]
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_clslist = [dill.dumps(obj) for obj in clslist]
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_objlist = [dill.dumps(obj) for obj in objlist]
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for obj in clslist:
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globals().pop(obj.__name__)
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del clslist
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for obj in ['o','oc','n','nc']:
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globals().pop(obj)
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del objlist
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del obj
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for obj,cls in zip(_objlist,_clslist):
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_cls = dill.loads(cls)
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_obj = dill.loads(obj)
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assert _obj.ok()
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assert _cls.ok(_cls())
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if _cls.__name__ == "_mclass":
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assert type(_cls).__name__ == "_meta"
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# test NoneType
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def test_none():
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assert dill.pickles(type(None))
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if hex(sys.hexversion) >= '0x20600f0':
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from collections import namedtuple
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Z = namedtuple("Z", ['a','b'])
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Zi = Z(0,1)
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X = namedtuple("Y", ['a','b'])
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X.__name__ = "X"
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if hex(sys.hexversion) >= '0x30300f0':
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X.__qualname__ = "X" #XXX: name must 'match' or fails to pickle
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Xi = X(0,1)
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Bad = namedtuple("FakeName", ['a','b'])
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Badi = Bad(0,1)
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else:
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Z = Zi = X = Xi = Bad = Badi = None
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# test namedtuple
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def test_namedtuple():
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assert Z is dill.loads(dill.dumps(Z))
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assert Zi == dill.loads(dill.dumps(Zi))
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assert X is dill.loads(dill.dumps(X))
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assert Xi == dill.loads(dill.dumps(Xi))
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assert Bad is not dill.loads(dill.dumps(Bad))
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assert Bad._fields == dill.loads(dill.dumps(Bad))._fields
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assert tuple(Badi) == tuple(dill.loads(dill.dumps(Badi)))
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def test_array_nested():
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try:
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import numpy as np
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x = np.array([1])
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y = (x,)
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dill.dumps(x)
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assert y == dill.loads(dill.dumps(y))
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except ImportError: pass
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def test_array_subclass():
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try:
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import numpy as np
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class TestArray(np.ndarray):
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def __new__(cls, input_array, color):
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obj = np.asarray(input_array).view(cls)
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obj.color = color
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return obj
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def __array_finalize__(self, obj):
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if obj is None:
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return
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if isinstance(obj, type(self)):
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self.color = obj.color
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def __getnewargs__(self):
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return np.asarray(self), self.color
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a1 = TestArray(np.zeros(100), color='green')
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assert dill.pickles(a1)
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assert a1.__dict__ == dill.copy(a1).__dict__
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a2 = a1[0:9]
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assert dill.pickles(a2)
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assert a2.__dict__ == dill.copy(a2).__dict__
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class TestArray2(np.ndarray):
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color = 'blue'
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a3 = TestArray2([1,2,3,4,5])
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a3.color = 'green'
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assert dill.pickles(a3)
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assert a3.__dict__ == dill.copy(a3).__dict__
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except ImportError: pass
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def test_method_decorator():
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class A(object):
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@classmethod
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def test(cls):
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pass
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a = A()
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res = dill.dumps(a)
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new_obj = dill.loads(res)
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new_obj.__class__.test()
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# test slots
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class Y(object):
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__slots__ = ['y']
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def __init__(self, y):
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self.y = y
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value = 123
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y = Y(value)
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def test_slots():
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assert dill.pickles(Y)
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assert dill.pickles(y)
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assert dill.pickles(Y.y)
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assert dill.copy(y).y == value
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if __name__ == '__main__':
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test_class_instances()
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test_class_objects()
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test_none()
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test_namedtuple()
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test_array_nested()
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test_array_subclass()
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test_method_decorator()
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test_slots()
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