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259 lines
7.7 KiB
Plaintext
259 lines
7.7 KiB
Plaintext
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.. currentmodule:: mock
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.. _magic-methods:
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Mocking Magic Methods
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=====================
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.. currentmodule:: mock
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:class:`Mock` supports mocking `magic methods
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<http://www.ironpythoninaction.com/magic-methods.html>`_. This allows mock
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objects to replace containers or other objects that implement Python
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protocols.
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Because magic methods are looked up differently from normal methods [#]_, this
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support has been specially implemented. This means that only specific magic
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methods are supported. The supported list includes *almost* all of them. If
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there are any missing that you need please let us know!
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You mock magic methods by setting the method you are interested in to a function
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or a mock instance. If you are using a function then it *must* take ``self`` as
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the first argument [#]_.
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.. doctest::
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>>> def __str__(self):
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... return 'fooble'
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...
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>>> mock = Mock()
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>>> mock.__str__ = __str__
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>>> str(mock)
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'fooble'
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>>> mock = Mock()
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>>> mock.__str__ = Mock()
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>>> mock.__str__.return_value = 'fooble'
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>>> str(mock)
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'fooble'
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>>> mock = Mock()
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>>> mock.__iter__ = Mock(return_value=iter([]))
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>>> list(mock)
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[]
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One use case for this is for mocking objects used as context managers in a
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`with` statement:
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.. doctest::
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>>> mock = Mock()
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>>> mock.__enter__ = Mock(return_value='foo')
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>>> mock.__exit__ = Mock(return_value=False)
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>>> with mock as m:
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... assert m == 'foo'
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...
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>>> mock.__enter__.assert_called_with()
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>>> mock.__exit__.assert_called_with(None, None, None)
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Calls to magic methods do not appear in :attr:`~Mock.method_calls`, but they
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are recorded in :attr:`~Mock.mock_calls`.
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.. note::
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If you use the `spec` keyword argument to create a mock then attempting to
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set a magic method that isn't in the spec will raise an `AttributeError`.
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The full list of supported magic methods is:
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* ``__hash__``, ``__sizeof__``, ``__repr__`` and ``__str__``
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* ``__dir__``, ``__format__`` and ``__subclasses__``
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* ``__floor__``, ``__trunc__`` and ``__ceil__``
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* Comparisons: ``__cmp__``, ``__lt__``, ``__gt__``, ``__le__``, ``__ge__``,
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``__eq__`` and ``__ne__``
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* Container methods: ``__getitem__``, ``__setitem__``, ``__delitem__``,
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``__contains__``, ``__len__``, ``__iter__``, ``__getslice__``,
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``__setslice__``, ``__reversed__`` and ``__missing__``
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* Context manager: ``__enter__`` and ``__exit__``
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* Unary numeric methods: ``__neg__``, ``__pos__`` and ``__invert__``
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* The numeric methods (including right hand and in-place variants):
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``__add__``, ``__sub__``, ``__mul__``, ``__div__``,
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``__floordiv__``, ``__mod__``, ``__divmod__``, ``__lshift__``,
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``__rshift__``, ``__and__``, ``__xor__``, ``__or__``, and ``__pow__``
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* Numeric conversion methods: ``__complex__``, ``__int__``, ``__float__``,
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``__index__`` and ``__coerce__``
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* Descriptor methods: ``__get__``, ``__set__`` and ``__delete__``
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* Pickling: ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``,
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``__getnewargs__``, ``__getstate__`` and ``__setstate__``
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The following methods are supported in Python 2 but don't exist in Python 3:
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* ``__unicode__``, ``__long__``, ``__oct__``, ``__hex__`` and ``__nonzero__``
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* ``__truediv__`` and ``__rtruediv__``
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The following methods are supported in Python 3 but don't exist in Python 2:
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* ``__bool__`` and ``__next__``
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The following methods exist but are *not* supported as they are either in use by
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mock, can't be set dynamically, or can cause problems:
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* ``__getattr__``, ``__setattr__``, ``__init__`` and ``__new__``
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* ``__prepare__``, ``__instancecheck__``, ``__subclasscheck__``, ``__del__``
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Magic Mock
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==========
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There are two `MagicMock` variants: `MagicMock` and `NonCallableMagicMock`.
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.. class:: MagicMock(*args, **kw)
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``MagicMock`` is a subclass of :class:`Mock` with default implementations
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of most of the magic methods. You can use ``MagicMock`` without having to
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configure the magic methods yourself.
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The constructor parameters have the same meaning as for :class:`Mock`.
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If you use the `spec` or `spec_set` arguments then *only* magic methods
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that exist in the spec will be created.
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.. class:: NonCallableMagicMock(*args, **kw)
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A non-callable version of `MagicMock`.
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The constructor parameters have the same meaning as for
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:class:`MagicMock`, with the exception of `return_value` and
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`side_effect` which have no meaning on a non-callable mock.
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The magic methods are setup with `MagicMock` objects, so you can configure them
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and use them in the usual way:
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.. doctest::
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>>> mock = MagicMock()
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>>> mock[3] = 'fish'
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>>> mock.__setitem__.assert_called_with(3, 'fish')
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>>> mock.__getitem__.return_value = 'result'
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>>> mock[2]
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'result'
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By default many of the protocol methods are required to return objects of a
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specific type. These methods are preconfigured with a default return value, so
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that they can be used without you having to do anything if you aren't interested
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in the return value. You can still *set* the return value manually if you want
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to change the default.
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Methods and their defaults:
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* ``__lt__``: NotImplemented
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* ``__gt__``: NotImplemented
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* ``__le__``: NotImplemented
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* ``__ge__``: NotImplemented
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* ``__int__`` : 1
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* ``__contains__`` : False
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* ``__len__`` : 1
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* ``__iter__`` : iter([])
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* ``__exit__`` : False
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* ``__complex__`` : 1j
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* ``__float__`` : 1.0
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* ``__bool__`` : True
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* ``__nonzero__`` : True
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* ``__oct__`` : '1'
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* ``__hex__`` : '0x1'
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* ``__long__`` : long(1)
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* ``__index__`` : 1
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* ``__hash__`` : default hash for the mock
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* ``__str__`` : default str for the mock
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* ``__unicode__`` : default unicode for the mock
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* ``__sizeof__``: default sizeof for the mock
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For example:
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.. doctest::
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>>> mock = MagicMock()
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>>> int(mock)
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1
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>>> len(mock)
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0
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>>> hex(mock)
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'0x1'
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>>> list(mock)
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[]
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>>> object() in mock
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False
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The two equality method, `__eq__` and `__ne__`, are special (changed in
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0.7.2). They do the default equality comparison on identity, using a side
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effect, unless you change their return value to return something else:
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.. doctest::
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>>> MagicMock() == 3
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False
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>>> MagicMock() != 3
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True
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>>> mock = MagicMock()
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>>> mock.__eq__.return_value = True
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>>> mock == 3
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True
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In `0.8` the `__iter__` also gained special handling implemented with a
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side effect. The return value of `MagicMock.__iter__` can be any iterable
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object and isn't required to be an iterator:
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.. doctest::
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>>> mock = MagicMock()
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>>> mock.__iter__.return_value = ['a', 'b', 'c']
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>>> list(mock)
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['a', 'b', 'c']
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>>> list(mock)
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['a', 'b', 'c']
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If the return value *is* an iterator, then iterating over it once will consume
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it and subsequent iterations will result in an empty list:
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.. doctest::
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>>> mock.__iter__.return_value = iter(['a', 'b', 'c'])
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>>> list(mock)
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['a', 'b', 'c']
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>>> list(mock)
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[]
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``MagicMock`` has all of the supported magic methods configured except for some
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of the obscure and obsolete ones. You can still set these up if you want.
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Magic methods that are supported but not setup by default in ``MagicMock`` are:
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* ``__cmp__``
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* ``__getslice__`` and ``__setslice__``
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* ``__coerce__``
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* ``__subclasses__``
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* ``__dir__``
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* ``__format__``
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* ``__get__``, ``__set__`` and ``__delete__``
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* ``__reversed__`` and ``__missing__``
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* ``__reduce__``, ``__reduce_ex__``, ``__getinitargs__``, ``__getnewargs__``,
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``__getstate__`` and ``__setstate__``
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* ``__getformat__`` and ``__setformat__``
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------------
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.. [#] Magic methods *should* be looked up on the class rather than the
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instance. Different versions of Python are inconsistent about applying this
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rule. The supported protocol methods should work with all supported versions
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of Python.
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.. [#] The function is basically hooked up to the class, but each ``Mock``
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instance is kept isolated from the others.
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