sub-modules, as described below.

Note that the file `__init__.py` in the TensorFlow source code tree is actually
only a placeholder to enable test cases to run. The TensorFlow build replaces
this file with a file generated from [`api_template.__init__.py`](https://www.github.com/tensorflow/tensorflow/blob/master/tensorflow/api_template.__init__.py)
"""
# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top

    def get(self, arg0: int) -> IntegerAttr: ...

class IntegerType(Type):
    def __init__(self, *args, **kwargs) -> None: ...
    def get(self, arg0: int) -> IntegerType: ...

class Location:
    def __init__(self, *args, **kwargs) -> None: ...

class MLIRContext:
    def __init__(self) -> None: ...

class ModuleOp:
    def __init__(self, *args, **kwargs) -> None: ...
    def create(self) -> ModuleOp: ...

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class RequestValidationError(ValidationException):
    def __init__(self, errors: Sequence[Any], *, body: Any = None) -> None:
        super().__init__(errors)
        self.body = body


class WebSocketRequestValidationError(ValidationException):
    pass


class ResponseValidationError(ValidationException):
    def __init__(self, errors: Sequence[Any], *, body: Any = None) -> None:

        use_kwargs = {k: v for k, v in kwargs.items() if v is not _Unset}

        super().__init__(**use_kwargs)

    def __repr__(self) -> str:
        return f"{self.__class__.__name__}({self.default})"


class Path(Param):
    in_ = ParamTypes.path

    def __init__(
        self,
        default: Any = ...,
        *,

class ReferencesParent(module.Module):

  def __init__(self, parent):
    super(ReferencesParent, self).__init__()
    self.parent = parent
    self.my_variable = variables.Variable(3., name="MyVariable")


# Creates a cyclic object graph.
class CyclicModule(module.Module):

  def __init__(self):
    super(CyclicModule, self).__init__()
    self.child = ReferencesParent(self)

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