Method _simple_new

pandas/core/indexes/base.py:653–678

We require that we have a dtype compat for the values. If we are passed a non-dtype compat, then coerce using the constructor. Must be careful not to recurse.

(
        cls,
        values: ArrayLike,
        name: Hashable | None = None,
        refs: BlockValuesRefs | None = None,
    )

    @classmethod
    def _simple_new(
        cls,
        values: ArrayLike,
        name: Hashable | None = None,
        refs: BlockValuesRefs | None = None,
    ) -> Self:
        """
        We require that we have a dtype compat for the values. If we are passed
        a non-dtype compat, then coerce using the constructor.

        Must be careful not to recurse.
        """
        assert isinstance(values, cls._data_cls), type(values)

        result = object.__new__(cls)
        result._data = values
        result._name = name
        result._cache = {}
        result._reset_identity()
        if refs is not None:
            result._references = refs
        else:
            result._references = BlockValuesRefs()
        result._references.add_index_reference(result)

        return result

    @classmethod
    def _with_infer(cls, *args, **kwargs):