The Tor Browser: python/mock-1.0.0/docs/mock.txt@b8a032363ba2 (annotated)

python/mock-1.0.0/docs/mock.txt@b8a032363ba2 (annotated)

python/mock-1.0.0/docs/mock.txt

Thu, 22 Jan 2015 13:21:57 +0100

author: Michael Schloh von Bennewitz <michael@schloh.com>
date: Thu, 22 Jan 2015 13:21:57 +0100
branch: TOR_BUG_9701
changeset 15: b8a032363ba2
permissions: -rw-r--r--

Incorporate requested changes from Mozilla in review:
https://bugzilla.mozilla.org/show_bug.cgi?id=1123480#c6

 The Mock Class
 ==============
 .. currentmodule:: mock
 .. testsetup::
     class SomeClass:
         pass
 `Mock` is a flexible mock object intended to replace the use of stubs and
 test doubles throughout your code. Mocks are callable and create attributes as
 new mocks when you access them [#]_. Accessing the same attribute will always
 return the same mock. Mocks record how you use them, allowing you to make
 assertions about what your code has done to them.
 :class:`MagicMock` is a subclass of `Mock` with all the magic methods
 pre-created and ready to use. There are also non-callable variants, useful
 when you are mocking out objects that aren't callable:
 :class:`NonCallableMock` and :class:`NonCallableMagicMock`
 The :func:`patch` decorators makes it easy to temporarily replace classes
 in a particular module with a `Mock` object. By default `patch` will create
 a `MagicMock` for you. You can specify an alternative class of `Mock` using
 the `new_callable` argument to `patch`.
 .. index:: side_effect
 .. index:: return_value
 .. index:: wraps
 .. index:: name
 .. index:: spec
 .. class:: Mock(spec=None, side_effect=None, return_value=DEFAULT, wraps=None, name=None, spec_set=None, **kwargs)
     Create a new `Mock` object. `Mock` takes several optional arguments
     that specify the behaviour of the Mock object:
     * `spec`: This can be either a list of strings or an existing object (a
       class or instance) that acts as the specification for the mock object. If
       you pass in an object then a list of strings is formed by calling dir on
       the object (excluding unsupported magic attributes and methods).
       Accessing any attribute not in this list will raise an `AttributeError`.
       If `spec` is an object (rather than a list of strings) then
       :attr:`__class__` returns the class of the spec object. This allows mocks
       to pass `isinstance` tests.
     * `spec_set`: A stricter variant of `spec`. If used, attempting to *set*
       or get an attribute on the mock that isn't on the object passed as
       `spec_set` will raise an `AttributeError`.
     * `side_effect`: A function to be called whenever the Mock is called. See
       the :attr:`~Mock.side_effect` attribute. Useful for raising exceptions or
       dynamically changing return values. The function is called with the same
       arguments as the mock, and unless it returns :data:`DEFAULT`, the return
       value of this function is used as the return value.
       Alternatively `side_effect` can be an exception class or instance. In
       this case the exception will be raised when the mock is called.
       If `side_effect` is an iterable then each call to the mock will return
       the next value from the iterable. If any of the members of the iterable
       are exceptions they will be raised instead of returned.
       A `side_effect` can be cleared by setting it to `None`.
     * `return_value`: The value returned when the mock is called. By default
       this is a new Mock (created on first access). See the
       :attr:`return_value` attribute.
     * `wraps`: Item for the mock object to wrap. If `wraps` is not None then
       calling the Mock will pass the call through to the wrapped object
       (returning the real result and ignoring `return_value`). Attribute access
       on the mock will return a Mock object that wraps the corresponding
       attribute of the wrapped object (so attempting to access an attribute
       that doesn't exist will raise an `AttributeError`).
       If the mock has an explicit `return_value` set then calls are not passed
       to the wrapped object and the `return_value` is returned instead.
     * `name`: If the mock has a name then it will be used in the repr of the
       mock. This can be useful for debugging. The name is propagated to child
       mocks.
     Mocks can also be called with arbitrary keyword arguments. These will be
     used to set attributes on the mock after it is created. See the
     :meth:`configure_mock` method for details.
     .. method:: assert_called_with(*args, **kwargs)
         This method is a convenient way of asserting that calls are made in a
         particular way:
         .. doctest::
             >>> mock = Mock()
             >>> mock.method(1, 2, 3, test='wow')
             <Mock name='mock.method()' id='...'>
             >>> mock.method.assert_called_with(1, 2, 3, test='wow')
     .. method:: assert_called_once_with(*args, **kwargs)
        Assert that the mock was called exactly once and with the specified
        arguments.
        .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock('foo', bar='baz')
             >>> mock.assert_called_once_with('foo', bar='baz')
             >>> mock('foo', bar='baz')
             >>> mock.assert_called_once_with('foo', bar='baz')
             Traceback (most recent call last):
               ...
             AssertionError: Expected to be called once. Called 2 times.
     .. method:: assert_any_call(*args, **kwargs)
         assert the mock has been called with the specified arguments.
         The assert passes if the mock has *ever* been called, unlike
         :meth:`assert_called_with` and :meth:`assert_called_once_with` that
         only pass if the call is the most recent one.
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock(1, 2, arg='thing')
             >>> mock('some', 'thing', 'else')
             >>> mock.assert_any_call(1, 2, arg='thing')
     .. method:: assert_has_calls(calls, any_order=False)
         assert the mock has been called with the specified calls.
         The `mock_calls` list is checked for the calls.
         If `any_order` is False (the default) then the calls must be
         sequential. There can be extra calls before or after the
         specified calls.
         If `any_order` is True then the calls can be in any order, but
         they must all appear in :attr:`mock_calls`.
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock(1)
             >>> mock(2)
             >>> mock(3)
             >>> mock(4)
             >>> calls = [call(2), call(3)]
             >>> mock.assert_has_calls(calls)
             >>> calls = [call(4), call(2), call(3)]
             >>> mock.assert_has_calls(calls, any_order=True)
     .. method:: reset_mock()
         The reset_mock method resets all the call attributes on a mock object:
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock('hello')
             >>> mock.called
             True
             >>> mock.reset_mock()
             >>> mock.called
             False
         This can be useful where you want to make a series of assertions that
         reuse the same object. Note that `reset_mock` *doesn't* clear the
         return value, :attr:`side_effect` or any child attributes you have
         set using normal assignment. Child mocks and the return value mock
         (if any) are reset as well.
     .. method:: mock_add_spec(spec, spec_set=False)
         Add a spec to a mock. `spec` can either be an object or a
         list of strings. Only attributes on the `spec` can be fetched as
         attributes from the mock.
         If `spec_set` is `True` then only attributes on the spec can be set.
     .. method:: attach_mock(mock, attribute)
         Attach a mock as an attribute of this one, replacing its name and
         parent. Calls to the attached mock will be recorded in the
         :attr:`method_calls` and :attr:`mock_calls` attributes of this one.
     .. method:: configure_mock(**kwargs)
         Set attributes on the mock through keyword arguments.
         Attributes plus return values and side effects can be set on child
         mocks using standard dot notation and unpacking a dictionary in the
         method call:
         .. doctest::
             >>> mock = Mock()
             >>> attrs = {'method.return_value': 3, 'other.side_effect': KeyError}
             >>> mock.configure_mock(**attrs)
             >>> mock.method()
 
             >>> mock.other()
             Traceback (most recent call last):
               ...
             KeyError
         The same thing can be achieved in the constructor call to mocks:
         .. doctest::
             >>> attrs = {'method.return_value': 3, 'other.side_effect': KeyError}
             >>> mock = Mock(some_attribute='eggs', **attrs)
             >>> mock.some_attribute
             'eggs'
             >>> mock.method()
 
             >>> mock.other()
             Traceback (most recent call last):
               ...
             KeyError
         `configure_mock` exists to make it easier to do configuration
         after the mock has been created.
     .. method:: __dir__()
         `Mock` objects limit the results of `dir(some_mock)` to useful results.
         For mocks with a `spec` this includes all the permitted attributes
         for the mock.
         See :data:`FILTER_DIR` for what this filtering does, and how to
         switch it off.
     .. method:: _get_child_mock(**kw)
         Create the child mocks for attributes and return value.
         By default child mocks will be the same type as the parent.
         Subclasses of Mock may want to override this to customize the way
         child mocks are made.
         For non-callable mocks the callable variant will be used (rather than
         any custom subclass).
     .. attribute:: called
         A boolean representing whether or not the mock object has been called:
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock.called
             False
             >>> mock()
             >>> mock.called
             True
     .. attribute:: call_count
         An integer telling you how many times the mock object has been called:
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock.call_count
 
             >>> mock()
             >>> mock()
             >>> mock.call_count
 
     .. attribute:: return_value
         Set this to configure the value returned by calling the mock:
         .. doctest::
             >>> mock = Mock()
             >>> mock.return_value = 'fish'
             >>> mock()
             'fish'
         The default return value is a mock object and you can configure it in
         the normal way:
         .. doctest::
             >>> mock = Mock()
             >>> mock.return_value.attribute = sentinel.Attribute
             >>> mock.return_value()
             <Mock name='mock()()' id='...'>
             >>> mock.return_value.assert_called_with()
         `return_value` can also be set in the constructor:
         .. doctest::
             >>> mock = Mock(return_value=3)
             >>> mock.return_value
 
             >>> mock()
 
     .. attribute:: side_effect
         This can either be a function to be called when the mock is called,
         or an exception (class or instance) to be raised.
         If you pass in a function it will be called with same arguments as the
         mock and unless the function returns the :data:`DEFAULT` singleton the
         call to the mock will then return whatever the function returns. If the
         function returns :data:`DEFAULT` then the mock will return its normal
         value (from the :attr:`return_value`.
         An example of a mock that raises an exception (to test exception
         handling of an API):
         .. doctest::
             >>> mock = Mock()
             >>> mock.side_effect = Exception('Boom!')
             >>> mock()
             Traceback (most recent call last):
               ...
             Exception: Boom!
         Using `side_effect` to return a sequence of values:
         .. doctest::
             >>> mock = Mock()
             >>> mock.side_effect = [3, 2, 1]
             >>> mock(), mock(), mock()
             (3, 2, 1)
         The `side_effect` function is called with the same arguments as the
         mock (so it is wise for it to take arbitrary args and keyword
         arguments) and whatever it returns is used as the return value for
         the call. The exception is if `side_effect` returns :data:`DEFAULT`,
         in which case the normal :attr:`return_value` is used.
         .. doctest::
             >>> mock = Mock(return_value=3)
             >>> def side_effect(*args, **kwargs):
             ...     return DEFAULT
             ...
             >>> mock.side_effect = side_effect
             >>> mock()
 
         `side_effect` can be set in the constructor. Here's an example that
         adds one to the value the mock is called with and returns it:
         .. doctest::
             >>> side_effect = lambda value: value + 1
             >>> mock = Mock(side_effect=side_effect)
             >>> mock(3)
 
             >>> mock(-8)
             -7
         Setting `side_effect` to `None` clears it:
         .. doctest::
             >>> from mock import Mock
             >>> m = Mock(side_effect=KeyError, return_value=3)
             >>> m()
             Traceback (most recent call last):
              ...
             KeyError
             >>> m.side_effect = None
             >>> m()
 
     .. attribute:: call_args
         This is either `None` (if the mock hasn't been called), or the
         arguments that the mock was last called with. This will be in the
         form of a tuple: the first member is any ordered arguments the mock
         was called with (or an empty tuple) and the second member is any
         keyword arguments (or an empty dictionary).
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> print mock.call_args
             None
             >>> mock()
             >>> mock.call_args
             call()
             >>> mock.call_args == ()
             True
             >>> mock(3, 4)
             >>> mock.call_args
             call(3, 4)
             >>> mock.call_args == ((3, 4),)
             True
             >>> mock(3, 4, 5, key='fish', next='w00t!')
             >>> mock.call_args
             call(3, 4, 5, key='fish', next='w00t!')
         `call_args`, along with members of the lists :attr:`call_args_list`,
         :attr:`method_calls` and :attr:`mock_calls` are :data:`call` objects.
         These are tuples, so they can be unpacked to get at the individual
         arguments and make more complex assertions. See
         :ref:`calls as tuples <calls-as-tuples>`.
     .. attribute:: call_args_list
         This is a list of all the calls made to the mock object in sequence
         (so the length of the list is the number of times it has been
         called). Before any calls have been made it is an empty list. The
         :data:`call` object can be used for conveniently constructing lists of
         calls to compare with `call_args_list`.
         .. doctest::
             >>> mock = Mock(return_value=None)
             >>> mock()
             >>> mock(3, 4)
             >>> mock(key='fish', next='w00t!')
             >>> mock.call_args_list
             [call(), call(3, 4), call(key='fish', next='w00t!')]
             >>> expected = [(), ((3, 4),), ({'key': 'fish', 'next': 'w00t!'},)]
             >>> mock.call_args_list == expected
             True
         Members of `call_args_list` are :data:`call` objects. These can be
         unpacked as tuples to get at the individual arguments. See
         :ref:`calls as tuples <calls-as-tuples>`.
     .. attribute:: method_calls
         As well as tracking calls to themselves, mocks also track calls to
         methods and attributes, and *their* methods and attributes:
         .. doctest::
             >>> mock = Mock()
             >>> mock.method()
             <Mock name='mock.method()' id='...'>
             >>> mock.property.method.attribute()
             <Mock name='mock.property.method.attribute()' id='...'>
             >>> mock.method_calls
             [call.method(), call.property.method.attribute()]
         Members of `method_calls` are :data:`call` objects. These can be
         unpacked as tuples to get at the individual arguments. See
         :ref:`calls as tuples <calls-as-tuples>`.
     .. attribute:: mock_calls
         `mock_calls` records *all* calls to the mock object, its methods, magic
         methods *and* return value mocks.
         .. doctest::
             >>> mock = MagicMock()
             >>> result = mock(1, 2, 3)
             >>> mock.first(a=3)
             <MagicMock name='mock.first()' id='...'>
             >>> mock.second()
             <MagicMock name='mock.second()' id='...'>
             >>> int(mock)
 
             >>> result(1)
             <MagicMock name='mock()()' id='...'>
             >>> expected = [call(1, 2, 3), call.first(a=3), call.second(),
             ... call.__int__(), call()(1)]
             >>> mock.mock_calls == expected
             True
         Members of `mock_calls` are :data:`call` objects. These can be
         unpacked as tuples to get at the individual arguments. See
         :ref:`calls as tuples <calls-as-tuples>`.
     .. attribute:: __class__
         Normally the `__class__` attribute of an object will return its type.
         For a mock object with a `spec` `__class__` returns the spec class
         instead. This allows mock objects to pass `isinstance` tests for the
         object they are replacing / masquerading as:
         .. doctest::
             >>> mock = Mock(spec=3)
             >>> isinstance(mock, int)
             True
         `__class__` is assignable to, this allows a mock to pass an
         `isinstance` check without forcing you to use a spec:
         .. doctest::
             >>> mock = Mock()
             >>> mock.__class__ = dict
             >>> isinstance(mock, dict)
             True
 .. class:: NonCallableMock(spec=None, wraps=None, name=None, spec_set=None, **kwargs)
     A non-callable version of `Mock`. The constructor parameters have the same
     meaning of `Mock`, with the exception of `return_value` and `side_effect`
     which have no meaning on a non-callable mock.
 Mock objects that use a class or an instance as a `spec` or `spec_set` are able
 to pass `isintance` tests:
 .. doctest::
     >>> mock = Mock(spec=SomeClass)
     >>> isinstance(mock, SomeClass)
     True
     >>> mock = Mock(spec_set=SomeClass())
     >>> isinstance(mock, SomeClass)
     True
 The `Mock` classes have support for mocking magic methods. See :ref:`magic
 methods <magic-methods>` for the full details.
 The mock classes and the :func:`patch` decorators all take arbitrary keyword
 arguments for configuration. For the `patch` decorators the keywords are
 passed to the constructor of the mock being created. The keyword arguments
 are for configuring attributes of the mock:
 .. doctest::
         >>> m = MagicMock(attribute=3, other='fish')
         >>> m.attribute
 
         >>> m.other
         'fish'
 The return value and side effect of child mocks can be set in the same way,
 using dotted notation. As you can't use dotted names directly in a call you
 have to create a dictionary and unpack it using `**`:
 .. doctest::
     >>> attrs = {'method.return_value': 3, 'other.side_effect': KeyError}
     >>> mock = Mock(some_attribute='eggs', **attrs)
     >>> mock.some_attribute
     'eggs'
     >>> mock.method()
 
     >>> mock.other()
     Traceback (most recent call last):
       ...
     KeyError
 .. class:: PropertyMock(*args, **kwargs)
    A mock intended to be used as a property, or other descriptor, on a class.
    `PropertyMock` provides `__get__` and `__set__` methods so you can specify
    a return value when it is fetched.
    Fetching a `PropertyMock` instance from an object calls the mock, with
    no args. Setting it calls the mock with the value being set.
    .. doctest::
         >>> class Foo(object):
         ...     @property
         ...     def foo(self):
         ...         return 'something'
         ...     @foo.setter
         ...     def foo(self, value):
         ...         pass
         ...
         >>> with patch('__main__.Foo.foo', new_callable=PropertyMock) as mock_foo:
         ...     mock_foo.return_value = 'mockity-mock'
         ...     this_foo = Foo()
         ...     print this_foo.foo
         ...     this_foo.foo = 6
         ...
         mockity-mock
         >>> mock_foo.mock_calls
         [call(), call(6)]
 Because of the way mock attributes are stored you can't directly attach a
 `PropertyMock` to a mock object. Instead you can attach it to the mock type
 object:
 .. doctest::
     >>> m = MagicMock()
     >>> p = PropertyMock(return_value=3)
     >>> type(m).foo = p
     >>> m.foo
 
     >>> p.assert_called_once_with()
 .. index:: __call__
 .. index:: calling
 Calling
 =======
 Mock objects are callable. The call will return the value set as the
 :attr:`~Mock.return_value` attribute. The default return value is a new Mock
 object; it is created the first time the return value is accessed (either
 explicitly or by calling the Mock) - but it is stored and the same one
 returned each time.
 Calls made to the object will be recorded in the attributes
 like :attr:`~Mock.call_args` and :attr:`~Mock.call_args_list`.
 If :attr:`~Mock.side_effect` is set then it will be called after the call has
 been recorded, so if `side_effect` raises an exception the call is still
 recorded.
 The simplest way to make a mock raise an exception when called is to make
 :attr:`~Mock.side_effect` an exception class or instance:
 .. doctest::
         >>> m = MagicMock(side_effect=IndexError)
         >>> m(1, 2, 3)
         Traceback (most recent call last):
           ...
         IndexError
         >>> m.mock_calls
         [call(1, 2, 3)]
         >>> m.side_effect = KeyError('Bang!')
         >>> m('two', 'three', 'four')
         Traceback (most recent call last):
           ...
         KeyError: 'Bang!'
         >>> m.mock_calls
         [call(1, 2, 3), call('two', 'three', 'four')]
 If `side_effect` is a function then whatever that function returns is what
 calls to the mock return. The `side_effect` function is called with the
 same arguments as the mock. This allows you to vary the return value of the
 call dynamically, based on the input:
 .. doctest::
         >>> def side_effect(value):
         ...     return value + 1
         ...
         >>> m = MagicMock(side_effect=side_effect)
         >>> m(1)
 
         >>> m(2)
 
         >>> m.mock_calls
         [call(1), call(2)]
 If you want the mock to still return the default return value (a new mock), or
 any set return value, then there are two ways of doing this. Either return
 `mock.return_value` from inside `side_effect`, or return :data:`DEFAULT`:
 .. doctest::
         >>> m = MagicMock()
         >>> def side_effect(*args, **kwargs):
         ...     return m.return_value
         ...
         >>> m.side_effect = side_effect
         >>> m.return_value = 3
         >>> m()
 
         >>> def side_effect(*args, **kwargs):
         ...     return DEFAULT
         ...
         >>> m.side_effect = side_effect
         >>> m()
 
 To remove a `side_effect`, and return to the default behaviour, set the
 `side_effect` to `None`:
 .. doctest::
         >>> m = MagicMock(return_value=6)
         >>> def side_effect(*args, **kwargs):
         ...     return 3
         ...
         >>> m.side_effect = side_effect
         >>> m()
 
         >>> m.side_effect = None
         >>> m()
 
 The `side_effect` can also be any iterable object. Repeated calls to the mock
 will return values from the iterable (until the iterable is exhausted and
 a `StopIteration` is raised):
 .. doctest::
         >>> m = MagicMock(side_effect=[1, 2, 3])
         >>> m()
 
         >>> m()
 
         >>> m()
 
         >>> m()
         Traceback (most recent call last):
           ...
         StopIteration
 If any members of the iterable are exceptions they will be raised instead of
 returned:
 .. doctest::
         >>> iterable = (33, ValueError, 66)
         >>> m = MagicMock(side_effect=iterable)
         >>> m()
 
         >>> m()
         Traceback (most recent call last):
          ...
         ValueError
         >>> m()
 
 .. _deleting-attributes:
 Deleting Attributes
 ===================
 Mock objects create attributes on demand. This allows them to pretend to be
 objects of any type.
 You may want a mock object to return `False` to a `hasattr` call, or raise an
 `AttributeError` when an attribute is fetched. You can do this by providing
 an object as a `spec` for a mock, but that isn't always convenient.
 You "block" attributes by deleting them. Once deleted, accessing an attribute
 will raise an `AttributeError`.
 .. doctest::
     >>> mock = MagicMock()
     >>> hasattr(mock, 'm')
     True
     >>> del mock.m
     >>> hasattr(mock, 'm')
     False
     >>> del mock.f
     >>> mock.f
     Traceback (most recent call last):
         ...
     AttributeError: f
 Attaching Mocks as Attributes
 =============================
 When you attach a mock as an attribute of another mock (or as the return
 value) it becomes a "child" of that mock. Calls to the child are recorded in
 the :attr:`~Mock.method_calls` and :attr:`~Mock.mock_calls` attributes of the
 parent. This is useful for configuring child mocks and then attaching them to
 the parent, or for attaching mocks to a parent that records all calls to the
 children and allows you to make assertions about the order of calls between
 mocks:
 .. doctest::
     >>> parent = MagicMock()
     >>> child1 = MagicMock(return_value=None)
     >>> child2 = MagicMock(return_value=None)
     >>> parent.child1 = child1
     >>> parent.child2 = child2
     >>> child1(1)
     >>> child2(2)
     >>> parent.mock_calls
     [call.child1(1), call.child2(2)]
 The exception to this is if the mock has a name. This allows you to prevent
 the "parenting" if for some reason you don't want it to happen.
 .. doctest::
     >>> mock = MagicMock()
     >>> not_a_child = MagicMock(name='not-a-child')
     >>> mock.attribute = not_a_child
     >>> mock.attribute()
     <MagicMock name='not-a-child()' id='...'>
     >>> mock.mock_calls
     []
 Mocks created for you by :func:`patch` are automatically given names. To
 attach mocks that have names to a parent you use the :meth:`~Mock.attach_mock`
 method:
 .. doctest::
     >>> thing1 = object()
     >>> thing2 = object()
     >>> parent = MagicMock()
     >>> with patch('__main__.thing1', return_value=None) as child1:
     ...     with patch('__main__.thing2', return_value=None) as child2:
     ...         parent.attach_mock(child1, 'child1')
     ...         parent.attach_mock(child2, 'child2')
     ...         child1('one')
     ...         child2('two')
     ...
     >>> parent.mock_calls
     [call.child1('one'), call.child2('two')]
 -----
 .. [#] The only exceptions are magic methods and attributes (those that have
        leading and trailing double underscores). Mock doesn't create these but
        instead of raises an ``AttributeError``. This is because the interpreter
        will often implicitly request these methods, and gets *very* confused to
        get a new Mock object when it expects a magic method. If you need magic
        method support see :ref:`magic methods <magic-methods>`.

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