Repository: pandas-dev/pandas
File: pandas/core/indexes/base.py (Python)

Code before:
        return self.putmask(~cond, other)

    # construction helpers
    @final
    @classmethod
    def _raise_scalar_data_error(cls, data):
        # We return the TypeError so that we can raise it from the constructor
        #  in order to keep mypy happy
        raise TypeError(
            f"{cls.__name__}(...) must be called with a collection of some "
            f"kind, {repr(data) if not isinstance(data, np.generic) else str(data)} "
            "was passed"
        )

    @classmethod
    def _maybe_copy_input(cls, data, copy, dtype):
        """
        Ensure that the input data is copied if necessary.
        GH#63388
        """
        if isinstance(data, (ExtensionArray, np.ndarray)):
            if copy is not False:
                if dtype is None or astype_is_view(data.dtype, pandas_dtype(dtype)):
                    data = data.copy()
                    copy = False
        return data, copy

    def _validate_fill_value(self, value):
        """
        Check if the value can be inserted into our array without casting,
        and convert it to an appropriate native type if necessary.

        Raises
        ------
        TypeError
            If the value cannot be inserted into an array of this dtype.
        """
        dtype = self.dtype
        if isinstance(dtype, np.dtype) and dtype.kind not in "mM":
            if isinstance(value, tuple) and dtype != object:
                # GH#54385
                raise TypeError
            try:
                return np_can_hold_element(dtype, value)
            except LossySetitemError as err:
                # re-raise as TypeError for consistency
                raise TypeError from err
        elif not can_hold_element(self._values, value):
            raise TypeError
        return value


Review comment (suggestion):
```suggestion
        return data, bool(copy)
```

Then you can remove the `bool(copy)` in other files

Code after:
    @final
    @classmethod
    def _raise_scalar_data_error(cls, data):
        # We return the TypeError so that we can raise it from the constructor
        #  in order to keep mypy happy
        raise TypeError(
            f"{cls.__name__}(...) must be called with a collection of some "
            f"kind, {repr(data) if not isinstance(data, np.generic) else str(data)} "
            "was passed"
        )

    @classmethod
    def _maybe_copy_array_input(
        cls, data, copy: bool | None, dtype
    ) -> tuple[Any, bool]:
        """
        Ensure that the input data is copied if necessary.
        GH#63388
        """
        if isinstance(data, (ExtensionArray, np.ndarray)):
            if copy is not False:
                if dtype is None or astype_is_view(data.dtype, pandas_dtype(dtype)):
                    data = data.copy()
                    copy = False
        return data, bool(copy)

    def _validate_fill_value(self, value):
        """
        Check if the value can be inserted into our array without casting,
        and convert it to an appropriate native type if necessary.

        Raises
        ------
        TypeError
            If the value cannot be inserted into an array of this dtype.
        """
        dtype = self.dtype
        if isinstance(dtype, np.dtype) and dtype.kind not in "mM":
            if isinstance(value, tuple) and dtype != object:
                # GH#54385
                raise TypeError
            try:
                return np_can_hold_element(dtype, value)
            except LossySetitemError as err:
                # re-raise as TypeError for consistency
                raise TypeError from err
        elif not can_hold_element(self._values, value):
            raise TypeError
        return value

    @cache_readonly