mirror of https://github.com/python/cpython
bpo-41905: Add abc.update_abstractmethods() (GH-22485)
This function recomputes `cls.__abstractmethods__`. Also update `@dataclass` to use it.
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@ -174,10 +174,11 @@ The :mod:`abc` module also provides the following decorator:
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to declare abstract methods for properties and descriptors.
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to declare abstract methods for properties and descriptors.
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Dynamically adding abstract methods to a class, or attempting to modify the
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Dynamically adding abstract methods to a class, or attempting to modify the
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abstraction status of a method or class once it is created, are not
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abstraction status of a method or class once it is created, are only
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supported. The :func:`abstractmethod` only affects subclasses derived using
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supported using the :func:`update_abstractmethods` function. The
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regular inheritance; "virtual subclasses" registered with the ABC's
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:func:`abstractmethod` only affects subclasses derived using regular
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:meth:`register` method are not affected.
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inheritance; "virtual subclasses" registered with the ABC's :meth:`register`
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method are not affected.
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When :func:`abstractmethod` is applied in combination with other method
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When :func:`abstractmethod` is applied in combination with other method
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descriptors, it should be applied as the innermost decorator, as shown in
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descriptors, it should be applied as the innermost decorator, as shown in
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@ -235,7 +236,6 @@ The :mod:`abc` module also provides the following decorator:
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super-call in a framework that uses cooperative
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super-call in a framework that uses cooperative
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multiple-inheritance.
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multiple-inheritance.
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The :mod:`abc` module also supports the following legacy decorators:
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The :mod:`abc` module also supports the following legacy decorators:
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.. decorator:: abstractclassmethod
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.. decorator:: abstractclassmethod
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@ -335,6 +335,22 @@ The :mod:`abc` module also provides the following functions:
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.. versionadded:: 3.4
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.. versionadded:: 3.4
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.. function:: update_abstractmethods(cls)
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A function to recalculate an abstract class's abstraction status. This
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function should be called if a class's abstract methods have been
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implemented or changed after it was created. Usually, this function should
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be called from within a class decorator.
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Returns *cls*, to allow usage as a class decorator.
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If *cls* is not an instance of ABCMeta, does nothing.
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.. note::
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This function assumes that *cls*'s superclasses are already updated.
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It does not update any subclasses.
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.. versionadded:: 3.10
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.. rubric:: Footnotes
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.. rubric:: Footnotes
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@ -254,6 +254,13 @@ The :mod:`functools` module defines the following functions:
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application, implementing all six rich comparison methods instead is
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application, implementing all six rich comparison methods instead is
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likely to provide an easy speed boost.
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likely to provide an easy speed boost.
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.. note::
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This decorator makes no attempt to override methods that have been
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declared in the class *or its superclasses*. Meaning that if a
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superclass defines a comparison operator, *total_ordering* will not
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implement it again, even if the original method is abstract.
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.. versionadded:: 3.2
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.. versionadded:: 3.2
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.. versionchanged:: 3.4
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.. versionchanged:: 3.4
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38
Lib/abc.py
38
Lib/abc.py
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@ -122,6 +122,44 @@ else:
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_reset_caches(cls)
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_reset_caches(cls)
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def update_abstractmethods(cls):
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"""Recalculate the set of abstract methods of an abstract class.
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If a class has had one of its abstract methods implemented after the
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class was created, the method will not be considered implemented until
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this function is called. Alternatively, if a new abstract method has been
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added to the class, it will only be considered an abstract method of the
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class after this function is called.
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This function should be called before any use is made of the class,
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usually in class decorators that add methods to the subject class.
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Returns cls, to allow usage as a class decorator.
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If cls is not an instance of ABCMeta, does nothing.
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"""
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if not hasattr(cls, '__abstractmethods__'):
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# We check for __abstractmethods__ here because cls might by a C
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# implementation or a python implementation (especially during
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# testing), and we want to handle both cases.
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return cls
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abstracts = set()
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# Check the existing abstract methods of the parents, keep only the ones
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# that are not implemented.
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for scls in cls.__bases__:
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for name in getattr(scls, '__abstractmethods__', ()):
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value = getattr(cls, name, None)
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if getattr(value, "__isabstractmethod__", False):
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abstracts.add(name)
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# Also add any other newly added abstract methods.
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for name, value in cls.__dict__.items():
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if getattr(value, "__isabstractmethod__", False):
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abstracts.add(name)
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cls.__abstractmethods__ = frozenset(abstracts)
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return cls
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class ABC(metaclass=ABCMeta):
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class ABC(metaclass=ABCMeta):
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"""Helper class that provides a standard way to create an ABC using
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"""Helper class that provides a standard way to create an ABC using
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inheritance.
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inheritance.
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@ -6,6 +6,7 @@ import inspect
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import keyword
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import keyword
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import builtins
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import builtins
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import functools
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import functools
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import abc
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import _thread
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import _thread
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from types import GenericAlias
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from types import GenericAlias
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@ -992,6 +993,8 @@ def _process_class(cls, init, repr, eq, order, unsafe_hash, frozen):
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cls.__doc__ = (cls.__name__ +
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cls.__doc__ = (cls.__name__ +
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str(inspect.signature(cls)).replace(' -> None', ''))
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str(inspect.signature(cls)).replace(' -> None', ''))
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abc.update_abstractmethods(cls)
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return cls
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return cls
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@ -488,6 +488,155 @@ def test_factory(abc_ABCMeta, abc_get_cache_token):
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pass
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pass
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self.assertEqual(C.__class__, abc_ABCMeta)
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self.assertEqual(C.__class__, abc_ABCMeta)
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def test_update_del(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def foo(self):
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pass
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del A.foo
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self.assertEqual(A.__abstractmethods__, {'foo'})
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self.assertFalse(hasattr(A, 'foo'))
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abc.update_abstractmethods(A)
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self.assertEqual(A.__abstractmethods__, set())
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A()
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def test_update_new_abstractmethods(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def bar(self):
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pass
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@abc.abstractmethod
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def updated_foo(self):
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pass
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A.foo = updated_foo
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abc.update_abstractmethods(A)
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self.assertEqual(A.__abstractmethods__, {'foo', 'bar'})
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msg = "class A with abstract methods bar, foo"
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self.assertRaisesRegex(TypeError, msg, A)
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def test_update_implementation(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def foo(self):
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pass
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class B(A):
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pass
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msg = "class B with abstract method foo"
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self.assertRaisesRegex(TypeError, msg, B)
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self.assertEqual(B.__abstractmethods__, {'foo'})
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B.foo = lambda self: None
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abc.update_abstractmethods(B)
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B()
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self.assertEqual(B.__abstractmethods__, set())
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def test_update_as_decorator(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def foo(self):
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pass
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def class_decorator(cls):
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cls.foo = lambda self: None
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return cls
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@abc.update_abstractmethods
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@class_decorator
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class B(A):
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pass
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B()
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self.assertEqual(B.__abstractmethods__, set())
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def test_update_non_abc(self):
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class A:
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pass
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@abc.abstractmethod
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def updated_foo(self):
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pass
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A.foo = updated_foo
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abc.update_abstractmethods(A)
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A()
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self.assertFalse(hasattr(A, '__abstractmethods__'))
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def test_update_del_implementation(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def foo(self):
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pass
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class B(A):
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def foo(self):
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pass
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B()
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del B.foo
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abc.update_abstractmethods(B)
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msg = "class B with abstract method foo"
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self.assertRaisesRegex(TypeError, msg, B)
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def test_update_layered_implementation(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def foo(self):
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pass
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class B(A):
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pass
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class C(B):
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def foo(self):
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pass
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C()
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del C.foo
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abc.update_abstractmethods(C)
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msg = "class C with abstract method foo"
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self.assertRaisesRegex(TypeError, msg, C)
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def test_update_multi_inheritance(self):
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class A(metaclass=abc_ABCMeta):
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@abc.abstractmethod
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def foo(self):
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pass
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class B(metaclass=abc_ABCMeta):
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def foo(self):
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pass
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class C(B, A):
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@abc.abstractmethod
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def foo(self):
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pass
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self.assertEqual(C.__abstractmethods__, {'foo'})
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del C.foo
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abc.update_abstractmethods(C)
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self.assertEqual(C.__abstractmethods__, set())
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C()
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class TestABCWithInitSubclass(unittest.TestCase):
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class TestABCWithInitSubclass(unittest.TestCase):
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def test_works_with_init_subclass(self):
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def test_works_with_init_subclass(self):
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@ -4,6 +4,7 @@
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from dataclasses import *
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from dataclasses import *
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import abc
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import pickle
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import pickle
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import inspect
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import inspect
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import builtins
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import builtins
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@ -3332,6 +3333,42 @@ class TestReplace(unittest.TestCase):
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## replace(c, x=5)
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## replace(c, x=5)
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class TestAbstract(unittest.TestCase):
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def test_abc_implementation(self):
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class Ordered(abc.ABC):
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@abc.abstractmethod
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def __lt__(self, other):
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pass
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@abc.abstractmethod
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def __le__(self, other):
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pass
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@dataclass(order=True)
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class Date(Ordered):
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year: int
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month: 'Month'
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day: 'int'
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self.assertFalse(inspect.isabstract(Date))
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self.assertGreater(Date(2020,12,25), Date(2020,8,31))
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def test_maintain_abc(self):
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class A(abc.ABC):
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@abc.abstractmethod
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def foo(self):
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pass
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@dataclass
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class Date(A):
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year: int
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month: 'Month'
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day: 'int'
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self.assertTrue(inspect.isabstract(Date))
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msg = 'class Date with abstract method foo'
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self.assertRaisesRegex(TypeError, msg, Date)
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if __name__ == '__main__':
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if __name__ == '__main__':
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unittest.main()
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unittest.main()
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@ -0,0 +1 @@
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A new function in abc: *update_abstractmethods* to re-calculate an abstract class's abstract status. In addition, *dataclass* has been changed to call this function.
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