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It takes the object to be patched (either as an object or a string to fetch the object by importing) and keyword arguments for the patches:: with patch.multiple(settings, FIRST_PATCH='one', SECOND_PATCH='two'): ... Use `DEFAULT` as the value if you want `patch.multiple` to create mocks for you. In this case the created mocks are passed into a decorated function by keyword, and a dictionary is returned when `patch.multiple` is used as a context manager. `patch.multiple` can be used as a decorator, class decorator or a context manager. The arguments `spec`, `spec_set`, `create`, `autospec` and `new_callable` have the same meaning as for `patch`. These arguments will be applied to *all* patches done by `patch.multiple`. When used as a class decorator `patch.multiple` honours `patch.TEST_PREFIX` for choosing which methods to wrap. cst��S)N)r�r)r�rrr��sz!_patch_multiple..cs�S)Nrr)r�rrr��sz=Must supply at least one keyword argument with patch.multiplerr�N) r�strr&r>r�r�rr�r�) r�r�r�r�r�r�r,r�r�r�r�r�Zthis_patcherr)r�r�_patch_multiple�s& r#c Ks$t|�\}} t|| |||||||� S)a� `patch` acts as a function decorator, class decorator or a context manager. Inside the body of the function or with statement, the `target` is patched with a `new` object. When the function/with statement exits the patch is undone. If `new` is omitted, then the target is replaced with a `MagicMock`. If `patch` is used as a decorator and `new` is omitted, the created mock is passed in as an extra argument to the decorated function. If `patch` is used as a context manager the created mock is returned by the context manager. `target` should be a string in the form `'package.module.ClassName'`. The `target` is imported and the specified object replaced with the `new` object, so the `target` must be importable from the environment you are calling `patch` from. The target is imported when the decorated function is executed, not at decoration time. The `spec` and `spec_set` keyword arguments are passed to the `MagicMock` if patch is creating one for you. In addition you can pass `spec=True` or `spec_set=True`, which causes patch to pass in the object being mocked as the spec/spec_set object. `new_callable` allows you to specify a different class, or callable object, that will be called to create the `new` object. By default `MagicMock` is used. 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. 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These will be passed to the `Mock` (or `new_callable`) on construction. `patch.dict(...)`, `patch.multiple(...)` and `patch.object(...)` are available for alternate use-cases. )r r�) r�r�r�r�r�r�r�r,r�r�rrrr�sE c@sVeZdZdZfdfdd�Zdd�Zdd�Zd d �Zdd�Zd d�Z dd�Z eZe ZdS)�_patch_dicta# Patch a dictionary, or dictionary like object, and restore the dictionary to its original state after the test. `in_dict` can be a dictionary or a mapping like container. If it is a mapping then it must at least support getting, setting and deleting items plus iterating over keys. `in_dict` can also be a string specifying the name of the dictionary, which will then be fetched by importing it. `values` can be a dictionary of values to set in the dictionary. `values` can also be an iterable of `(key, value)` pairs. 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