Edit: test_classdef.py
#!/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 import dill from enum import EnumMeta import sys dill.settings['recurse'] = True # test classdefs class _class: def _method(self): pass def ok(self): return True class _class2: def __call__(self): pass def ok(self): return True class _newclass(object): def _method(self): pass def ok(self): return True class _newclass2(object): def __call__(self): pass def ok(self): return True class _meta(type): pass def __call__(self): pass def ok(self): return True _mclass = _meta("_mclass", (object,), {"__call__": __call__, "ok": ok}) del __call__ del ok o = _class() oc = _class2() n = _newclass() nc = _newclass2() m = _mclass() if sys.hexversion < 0x03090000: import typing class customIntList(typing.List[int]): pass else: class customIntList(list[int]): pass # test pickles for class instances def test_class_instances(): assert dill.pickles(o) assert dill.pickles(oc) assert dill.pickles(n) assert dill.pickles(nc) assert dill.pickles(m) def test_class_objects(): clslist = [_class,_class2,_newclass,_newclass2,_mclass] objlist = [o,oc,n,nc,m] _clslist = [dill.dumps(obj) for obj in clslist] _objlist = [dill.dumps(obj) for obj in objlist] for obj in clslist: globals().pop(obj.__name__) del clslist for obj in ['o','oc','n','nc']: globals().pop(obj) del objlist del obj for obj,cls in zip(_objlist,_clslist): _cls = dill.loads(cls) _obj = dill.loads(obj) assert _obj.ok() assert _cls.ok(_cls()) if _cls.__name__ == "_mclass": assert type(_cls).__name__ == "_meta" # test NoneType def test_specialtypes(): assert dill.pickles(type(None)) assert dill.pickles(type(NotImplemented)) assert dill.pickles(type(Ellipsis)) assert dill.pickles(type(EnumMeta)) from collections import namedtuple Z = namedtuple("Z", ['a','b']) Zi = Z(0,1) X = namedtuple("Y", ['a','b']) X.__name__ = "X" X.__qualname__ = "X" #XXX: name must 'match' or fails to pickle Xi = X(0,1) Bad = namedtuple("FakeName", ['a','b']) Badi = Bad(0,1) Defaults = namedtuple('Defaults', ['x', 'y'], defaults=[1]) Defaultsi = Defaults(2) # test namedtuple def test_namedtuple(): assert Z is dill.loads(dill.dumps(Z)) assert Zi == dill.loads(dill.dumps(Zi)) assert X is dill.loads(dill.dumps(X)) assert Xi == dill.loads(dill.dumps(Xi)) assert Defaults is dill.loads(dill.dumps(Defaults)) assert Defaultsi == dill.loads(dill.dumps(Defaultsi)) assert Bad is not dill.loads(dill.dumps(Bad)) assert Bad._fields == dill.loads(dill.dumps(Bad))._fields assert tuple(Badi) == tuple(dill.loads(dill.dumps(Badi))) class A: class B(namedtuple("C", ["one", "two"])): '''docstring''' B.__module__ = 'testing' a = A() assert dill.copy(a) assert dill.copy(A.B).__name__ == 'B' assert dill.copy(A.B).__qualname__.endswith('.<locals>.A.B') assert dill.copy(A.B).__doc__ == 'docstring' assert dill.copy(A.B).__module__ == 'testing' from typing import NamedTuple def A(): class B(NamedTuple): x: int return B assert type(dill.copy(A()(8))).__qualname__ == type(A()(8)).__qualname__ def test_dtype(): try: import numpy as np dti = np.dtype('int') assert np.dtype == dill.copy(np.dtype) assert dti == dill.copy(dti) except ImportError: pass def test_array_nested(): try: import numpy as np x = np.array([1]) y = (x,) assert y == dill.copy(y) except ImportError: pass def test_array_subclass(): try: import numpy as np class TestArray(np.ndarray): def __new__(cls, input_array, color): obj = np.asarray(input_array).view(cls) obj.color = color return obj def __array_finalize__(self, obj): if obj is None: return if isinstance(obj, type(self)): self.color = obj.color def __getnewargs__(self): return np.asarray(self), self.color a1 = TestArray(np.zeros(100), color='green') if not dill._dill.IS_PYPY: assert dill.pickles(a1) assert a1.__dict__ == dill.copy(a1).__dict__ a2 = a1[0:9] if not dill._dill.IS_PYPY: assert dill.pickles(a2) assert a2.__dict__ == dill.copy(a2).__dict__ class TestArray2(np.ndarray): color = 'blue' a3 = TestArray2([1,2,3,4,5]) a3.color = 'green' if not dill._dill.IS_PYPY: assert dill.pickles(a3) assert a3.__dict__ == dill.copy(a3).__dict__ except ImportError: pass def test_method_decorator(): class A(object): @classmethod def test(cls): pass a = A() res = dill.dumps(a) new_obj = dill.loads(res) new_obj.__class__.test() # test slots class Y(object): __slots__ = ('y', '__weakref__') def __init__(self, y): self.y = y value = 123 y = Y(value) class Y2(object): __slots__ = 'y' def __init__(self, y): self.y = y def test_slots(): assert dill.pickles(Y) assert dill.pickles(y) assert dill.pickles(Y.y) assert dill.copy(y).y == value assert dill.copy(Y2(value)).y == value def test_origbases(): assert dill.copy(customIntList).__orig_bases__ == customIntList.__orig_bases__ def test_attr(): import attr @attr.s class A: a = attr.ib() v = A(1) assert dill.copy(v) == v def test_metaclass(): class metaclass_with_new(type): def __new__(mcls, name, bases, ns, **kwds): cls = super().__new__(mcls, name, bases, ns, **kwds) assert mcls is not None assert cls.method(mcls) return cls def method(cls, mcls): return isinstance(cls, mcls) l = locals() exec("""class subclass_with_new(metaclass=metaclass_with_new): def __new__(cls): self = super().__new__(cls) return self""", None, l) subclass_with_new = l['subclass_with_new'] assert dill.copy(subclass_with_new()) def test_enummeta(): from http import HTTPStatus import enum assert dill.copy(HTTPStatus.OK) is HTTPStatus.OK assert dill.copy(enum.EnumMeta) is enum.EnumMeta if __name__ == '__main__': test_class_instances() test_class_objects() test_specialtypes() test_namedtuple() test_dtype() test_array_nested() test_array_subclass() test_method_decorator() test_slots() test_origbases() test_metaclass() test_enummeta()
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