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that will be called to create the `new` object. By default `AsyncMock` is
used for async functions and `MagicMock` for the rest.
A more powerful form of `spec` is `autospec`. If you set `autospec=True`
then the mock will be created with a spec from the object being replaced.
All attributes of the mock will also have the spec of the corresponding
attribute of the object being replaced. Methods and functions being
mocked will have their arguments checked and will raise a `TypeError` if
they are called with the wrong signature. For mocks replacing a class,
their return value (the 'instance') will have the same spec as the class.
Instead of `autospec=True` you can pass `autospec=some_object` to use an
arbitrary object as the spec instead of the one being replaced.
By default `patch` will fail to replace attributes that don't exist. If
you pass in `create=True`, and the attribute doesn't exist, patch will
create the attribute for you when the patched function is called, and
delete it again afterwards. This is useful for writing tests against
attributes that your production code creates at runtime. It is off by
default because it can be dangerous. With it switched on you can write
passing tests against APIs that don't actually exist!
Patch can be used as a `TestCase` class decorator. It works by
decorating each test method in the class. This reduces the boilerplate
code when your test methods share a common patchings set. `patch` finds
tests by looking for method names that start with `patch.TEST_PREFIX`.
By default this is `test`, which matches the way `unittest` finds tests.
You can specify an alternative prefix by setting `patch.TEST_PREFIX`.
Patch can be used as a context manager, with the with statement. Here the
patching applies to the indented block after the with statement. If you
use "as" then the patched object will be bound to the name after the
"as"; very useful if `patch` is creating a mock object for you.
Patch will raise a `RuntimeError` if passed some common misspellings of
the arguments autospec and spec_set. Pass the argument `unsafe` with the
value True to disable that check.
`patch` takes arbitrary keyword arguments. These will be passed to
`AsyncMock` if the patched object is asynchronous, to `MagicMock`
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`patch.dict(...)`, `patch.multiple(...)` and `patch.object(...)` are
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with patch.dict('sys.modules', mymodule=Mock(), other_module=Mock()):
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Assert that the mock was never awaited.
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See :func:`.Mock.reset_mock()`
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Enhance :class:`Mock` with features allowing to mock
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The :class:`AsyncMock` object will behave so the object is
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>>> mock = AsyncMock()
>>> iscoroutinefunction(mock)
True
>>> inspect.isawaitable(mock())
True
The result of ``mock()`` is an async function which will have the outcome
of ``side_effect`` or ``return_value``:
- if ``side_effect`` is a function, the async function will return the
result of that function,
- if ``side_effect`` is an exception, the async function will raise the
exception,
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next value of the iterable, however, if the sequence of result is
exhausted, ``StopIteration`` is raised immediately,
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value defined by ``return_value``, hence, by default, the async function
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If the outcome of ``side_effect`` or ``return_value`` is an async function,
the mock async function obtained when the mock object is called will be this
async function itself (and not an async function returning an async
function).
The test author can also specify a wrapped object with ``wraps``. In this
case, the :class:`Mock` object behavior is the same as with an
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Based on Martin Richard's asynctest project.
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_Call(('name', (), {})) == ('name',)
_Call(('name', (1,), {})) == ('name', (1,))
_Call(((), {'a': 'b'})) == ({'a': 'b'},)
The `_Call` object provides a useful shortcut for comparing with call::
_Call(((1, 2), {'a': 3})) == call(1, 2, a=3)
_Call(('foo', (1, 2), {'a': 3})) == call.foo(1, 2, a=3)
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