Lightstar/venv/Lib/site-packages/torch/package/_mock.py

# mypy: allow-untyped-defs
_magic_methods = [
    "__subclasscheck__",
    "__hex__",
    "__rmul__",
    "__float__",
    "__idiv__",
    "__setattr__",
    "__div__",
    "__invert__",
    "__nonzero__",
    "__rshift__",
    "__eq__",
    "__pos__",
    "__round__",
    "__rand__",
    "__or__",
    "__complex__",
    "__divmod__",
    "__len__",
    "__reversed__",
    "__copy__",
    "__reduce__",
    "__deepcopy__",
    "__rdivmod__",
    "__rrshift__",
    "__ifloordiv__",
    "__hash__",
    "__iand__",
    "__xor__",
    "__isub__",
    "__oct__",
    "__ceil__",
    "__imod__",
    "__add__",
    "__truediv__",
    "__unicode__",
    "__le__",
    "__delitem__",
    "__sizeof__",
    "__sub__",
    "__ne__",
    "__pow__",
    "__bytes__",
    "__mul__",
    "__itruediv__",
    "__bool__",
    "__iter__",
    "__abs__",
    "__gt__",
    "__iadd__",
    "__enter__",
    "__floordiv__",
    "__call__",
    "__neg__",
    "__and__",
    "__ixor__",
    "__getitem__",
    "__exit__",
    "__cmp__",
    "__getstate__",
    "__index__",
    "__contains__",
    "__floor__",
    "__lt__",
    "__getattr__",
    "__mod__",
    "__trunc__",
    "__delattr__",
    "__instancecheck__",
    "__setitem__",
    "__ipow__",
    "__ilshift__",
    "__long__",
    "__irshift__",
    "__imul__",
    "__lshift__",
    "__dir__",
    "__ge__",
    "__int__",
    "__ior__",
]


class MockedObject:
    _name: str

    def __new__(cls, *args, **kwargs):
        # _suppress_err is set by us in the mocked module impl, so that we can
        # construct instances of MockedObject to hand out to people looking up
        # module attributes.

        # Any other attempt to construct a MockedObject instance (say, in the
        # unpickling process) should give an error.
        if not kwargs.get("_suppress_err"):
            raise NotImplementedError(
                f"Object '{cls._name}' was mocked out during packaging "
                f"but it is being used in '__new__'. If this error is "
                "happening during 'load_pickle', please ensure that your "
                "pickled object doesn't contain any mocked objects."
            )
        # Otherwise, this is just a regular object creation
        # (e.g. `x = MockedObject("foo")`), so pass it through normally.
        return super().__new__(cls)

    def __init__(self, name: str, _suppress_err: bool):
        self.__dict__["_name"] = name

    def __repr__(self):
        return f"MockedObject({self._name})"


def install_method(method_name):
    def _not_implemented(self, *args, **kwargs):
        raise NotImplementedError(
            f"Object '{self._name}' was mocked out during packaging but it is being used in {method_name}"
        )

    setattr(MockedObject, method_name, _not_implemented)


for method_name in _magic_methods:
    install_method(method_name)