# Buggy code
def rename_axis(
    self, mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False
):
    kwargs = {
        "index": index,
        "columns": columns,
        "axis": axis,
        "copy": copy,
        "inplace": inplace,
    }
    axes, kwargs = getattr(pandas, self.__name__)()._construct_axes_from_arguments(
        (), kwargs, sentinel=sentinel
    )
    if axis is not None:
        axis = self._get_axis_number(axis)
    else:
        axis = 0
    inplace = validate_bool_kwarg(inplace, "inplace")

    if mapper is not None:
        # Use v0.23 behavior if a scalar or list
        non_mapper = is_scalar(mapper) or (
            is_list_like(mapper) and not is_dict_like(mapper)
        )
        if non_mapper:
            return self._set_axis_name(mapper, axis=axis, inplace=inplace)
        else:
            raise ValueError("Use `.rename` to alter labels with a mapper.")
    else:
        # Use new behavior.  Means that index and/or columns is specified
        result = self if inplace else self.copy(deep=copy)

        for axis in axes:
            if axes[axis] is None:
                continue
            v = axes[axis]
            axis = self._get_axis_number(axis)
            non_mapper = is_scalar(v) or (is_list_like(v) and not is_dict_like(v))
            if non_mapper:
                newnames = v
            else:

                def _get_rename_function(mapper):
                    if isinstance(mapper, (dict, BasePandasDataset)):

                        def f(x):
                            if x in mapper:
                                return mapper[x]
                            else:
                                return x

                    else:
                        f = mapper

                    return f

                f = _get_rename_function(v)
                curnames = self.index.names if axis == 0 else self.columns.names
                newnames = [f(name) for name in curnames]
            result._set_axis_name(newnames, axis=axis, inplace=True)
        if not inplace:
            return result


# Traceback (RecursionError)
Traceback (most recent call last):
File "1.py", line 14, in <module>
ref = df["a"].add(df["b"])
File "/localdisk/ilyaenko/modin/modin/pandas/series.py", line 376, in add
return super(Series, new_self).add(
File "/localdisk/ilyaenko/modin/modin/pandas/series.py", line 376, in add
return super(Series, new_self).add(
File "/localdisk/ilyaenko/modin/modin/pandas/series.py", line 376, in add
return super(Series, new_self).add(
[Previous line repeated 978 more times]
...
RecursionError: maximum recursion depth exceeded while calling a Python object

# Fixed code
def rename_axis(
    self, mapper=None, index=None, columns=None, axis=None, copy=True, inplace=False
):
    kwargs = {
        "index": index,
        "columns": columns,
        "axis": axis,
        "copy": copy,
        "inplace": inplace,
    }
    axes, kwargs = getattr(
        pandas, type(self).__name__
    )()._construct_axes_from_arguments((), kwargs, sentinel=sentinel)
    if axis is not None:
        axis = self._get_axis_number(axis)
    else:
        axis = 0
    inplace = validate_bool_kwarg(inplace, "inplace")

    if mapper is not None:
        # Use v0.23 behavior if a scalar or list
        non_mapper = is_scalar(mapper) or (
            is_list_like(mapper) and not is_dict_like(mapper)
        )
        if non_mapper:
            return self._set_axis_name(mapper, axis=axis, inplace=inplace)
        else:
            raise ValueError("Use `.rename` to alter labels with a mapper.")
    else:
        # Use new behavior.  Means that index and/or columns is specified
        result = self if inplace else self.copy(deep=copy)

        for axis in axes:
            if axes[axis] is None:
                continue
            v = axes[axis]
            axis = self._get_axis_number(axis)
            non_mapper = is_scalar(v) or (is_list_like(v) and not is_dict_like(v))
            if non_mapper:
                newnames = v
            else:

                def _get_rename_function(mapper):
                    if isinstance(mapper, (dict, BasePandasDataset)):

                        def f(x):
                            if x in mapper:
                                return mapper[x]
                            else:
                                return x

                    else:
                        f = mapper

                    return f

                f = _get_rename_function(v)
                curnames = self.index.names if axis == 0 else self.columns.names
                newnames = [f(name) for name in curnames]
            result._set_axis_name(newnames, axis=axis, inplace=True)
        if not inplace:
            return result