# Buggy code
def reindex(
    self,
    labels=None,
    index=None,
    columns=None,
    axis=None,
    method=None,
    copy=True,
    level=None,
    fill_value=np.nan,
    limit=None,
    tolerance=None,
):
    axis = self._get_axis_number(axis)
    if (
        level is not None
        or (
            (columns is not None or axis == 1)
            and self._query_compiler.has_multiindex(axis=1)
        )
        or ((index is not None or axis == 0) and self._query_compiler.has_multiindex())
    ):
        return self._default_to_pandas(
            "reindex",
            labels=labels,
            index=index,
            columns=columns,
            axis=axis,
            method=method,
            copy=copy,
            level=level,
            fill_value=fill_value,
            limit=limit,
            tolerance=tolerance,
        )
    if axis == 0 and labels is not None:
        index = labels
    elif labels is not None:
        columns = labels
    new_query_compiler = None
    if index is not None:
        if not isinstance(index, pandas.Index):
            index = pandas.Index(index)
        if not index.equals(self.index):
            new_query_compiler = self._query_compiler.reindex(
                axis=0,
                labels=index,
                method=method,
                fill_value=fill_value,
                limit=limit,
                tolerance=tolerance,
            )
    if new_query_compiler is None:
        new_query_compiler = self._query_compiler
    final_query_compiler = None
    if columns is not None:
        if not isinstance(columns, pandas.Index):
            columns = pandas.Index(columns)
        if not columns.equals(self.columns):
            final_query_compiler = new_query_compiler.reindex(
                axis=1,
                labels=columns,
                method=method,
                fill_value=fill_value,
                limit=limit,
                tolerance=tolerance,
            )
    if final_query_compiler is None:
        final_query_compiler = new_query_compiler
    return self._create_or_update_from_compiler(final_query_compiler, not copy)


# Traceback (TypeError)
df = pandas.DataFrame({"foo": [1,2,3,4], "bar": ["a", "b", "c", "d"], "waldo": [11, 12, 13, 14]})
UserWarning: Distributing <class 'dict'> object. This may take some time.
df = df.set_index(["foo", "bar"])
df
waldo
foo bar
1   a       11
2   b       12
3   c       13
4   d       14
new_index = pandas.MultiIndex.from_product([["a", "b", "c"], ["d", "e", "f"]])
df.reindex(new_index)
UserWarning: `DataFrame.reindex` defaulting to pandas implementation.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/Users/orenmazor/.pyenv/versions/3.8.2/Python.framework/Versions/3.8/lib/python3.8/site-packages/modin/pandas/base.py", line 2038, in reindex
return self._default_to_pandas(
File "/Users/orenmazor/.pyenv/versions/3.8.2/Python.framework/Versions/3.8/lib/python3.8/site-packages/modin/pandas/base.py", line 251, in _default_to_pandas
result = getattr(getattr(pandas, self.__name__), op)(
File "/Users/orenmazor/.pyenv/versions/3.8.2/Python.framework/Versions/3.8/lib/python3.8/site-packages/pandas/util/_decorators.py", line 227, in wrapper
return func(*args, **kwargs)
File "/Users/orenmazor/.pyenv/versions/3.8.2/Python.framework/Versions/3.8/lib/python3.8/site-packages/pandas/core/frame.py", line 3851, in reindex
axes = validate_axis_style_args(self, args, kwargs, "labels", "reindex")
File "/Users/orenmazor/.pyenv/versions/3.8.2/Python.framework/Versions/3.8/lib/python3.8/site-packages/pandas/util/_validators.py", line 260, in validate_axis_style_args
raise TypeError(msg)
TypeError: Cannot specify both 'axis' and any of 'index' or 'columns'.
```

# Fixed code
def reindex(
    self,
    labels=None,
    index=None,
    columns=None,
    axis=None,
    method=None,
    copy=True,
    level=None,
    fill_value=np.nan,
    limit=None,
    tolerance=None,
):
    axis = self._get_axis_number(axis)
    if (columns is not None and self._query_compiler.has_multiindex(axis=1)) or (
        index is not None and self._query_compiler.has_multiindex()
    ):
        return self._default_to_pandas(
            "reindex",
            labels=labels,
            index=index,
            columns=columns,
            method=method,
            copy=copy,
            level=level,
            fill_value=fill_value,
            limit=limit,
            tolerance=tolerance,
        )
    if (
        level is not None
        or (axis == 1 and self._query_compiler.has_multiindex(axis=1))
        or (axis == 0 and self._query_compiler.has_multiindex())
    ):
        return self._default_to_pandas(
            "reindex",
            labels=labels,
            level=level,
            method=method,
            copy=copy,
            axis=axis,
            fill_value=fill_value,
            limit=limit,
            tolerance=tolerance,
        )
    if axis == 0 and labels is not None:
        index = labels
    elif labels is not None:
        columns = labels
    new_query_compiler = None
    if index is not None:
        if not isinstance(index, pandas.Index):
            index = pandas.Index(index)
        if not index.equals(self.index):
            new_query_compiler = self._query_compiler.reindex(
                axis=0,
                labels=index,
                method=method,
                fill_value=fill_value,
                limit=limit,
                tolerance=tolerance,
            )
    if new_query_compiler is None:
        new_query_compiler = self._query_compiler
    final_query_compiler = None
    if columns is not None:
        if not isinstance(columns, pandas.Index):
            columns = pandas.Index(columns)
        if not columns.equals(self.columns):
            final_query_compiler = new_query_compiler.reindex(
                axis=1,
                labels=columns,
                method=method,
                fill_value=fill_value,
                limit=limit,
                tolerance=tolerance,
            )
    if final_query_compiler is None:
        final_query_compiler = new_query_compiler
    return self._create_or_update_from_compiler(final_query_compiler, not copy)