# Buggy code
def setitem(self, axis, key, value):
    """Set the column defined by `key` to the `value` provided.

    Args:
        key: The column name to set.
        value: The value to set the column to.

    Returns:
         A new QueryCompiler
    """

    def setitem_builder(df, internal_indices=[]):
        df = df.copy()
        if len(internal_indices) == 1:
            if axis == 0:
                df[df.columns[internal_indices[0]]] = value
            else:
                df.iloc[internal_indices[0]] = value
        else:
            if axis == 0:
                df[df.columns[internal_indices]] = value
            else:
                df.iloc[internal_indices] = value
        return df

    if isinstance(value, type(self)):
        value.columns = [key]
        if axis == 0:
            idx = self.columns.get_indexer_for([key])[0]
            if 0 < idx < len(self.columns) - 1:
                first_mask = self._modin_frame.mask(col_numeric_idx=list(range(idx)))
                second_mask = self._modin_frame.mask(
                    col_numeric_idx=list(range(idx + 1, len(self.columns)))
                )
                return self.__constructor__(
                    first_mask._concat(
                        1, [value._modin_frame, second_mask], "inner", False
                    )
                )
            else:
                mask = self.drop(columns=[key])._modin_frame
                if idx == 0:
                    return self.__constructor__(
                        value._modin_frame._concat(1, [mask], "inner", False)
                    )
                else:
                    return self.__constructor__(
                        mask._concat(1, [value._modin_frame], "inner", False)
                    )
        else:
            value = value.transpose()
            idx = self.index.get_indexer_for([key])[0]
            if 0 < idx < len(self.index) - 1:
                first_mask = self._modin_frame.mask(row_numeric_idx=list(range(idx)))
                second_mask = self._modin_frame.mask(
                    row_numeric_idx=list(range(idx + 1, len(self.index)))
                )
                return self.__constructor__(
                    first_mask._concat(
                        0, [value._modin_frame, second_mask], "inner", False
                    )
                )
            else:
                mask = self.drop(index=[key])._modin_frame
                if idx == 0:
                    return self.__constructor__(
                        value._modin_frame._concat(0, [mask], "inner", False)
                    )
                else:
                    return self.__constructor__(
                        mask._concat(0, [value._modin_frame], "inner", False)
                    )
    if is_list_like(value):
        new_modin_frame = self._modin_frame._apply_full_axis_select_indices(
            axis,
            setitem_builder,
            [key],
            new_index=self.index,
            new_columns=self.columns,
            keep_remaining=True,
        )
    else:
        new_modin_frame = self._modin_frame._apply_select_indices(
            axis,
            setitem_builder,
            [key],
            new_index=self.index,
            new_columns=self.columns,
            keep_remaining=True,
        )
    return self.__constructor__(new_modin_frame)


# Traceback (TypeError)
Traceback (most recent call last):
File "test_outer.py", line 13, in <module>
md_df["b"] = pd.Series(np.zeros(len(md_df))) # TypeError
File "/localdisk/dchigare/repos/modin_bp/modin/pandas/dataframe.py", line 1978, in __setitem__
join="left",
File "/localdisk/dchigare/repos/modin_bp/modin/backends/pandas/query_compiler.py", line 303, in concat
new_modin_frame = self._modin_frame._concat(axis, other_modin_frame, join, sort)
File "/localdisk/dchigare/repos/modin_bp/modin/engines/base/frame/data.py", line 1850, in _concat
axis ^ 1, others, how, sort, force_repartition=True
File "/localdisk/dchigare/repos/modin_bp/modin/engines/base/frame/data.py", line 1701, in _copartition
joined_index = self._join_index_objects(axis, index_other_obj, how, sort)
File "/localdisk/dchigare/repos/modin_bp/modin/engines/base/frame/data.py", line 980, in _join_index_objects
joined_obj = merge_index(joined_obj, obj)
File "/localdisk/dchigare/repos/modin_bp/modin/engines/base/frame/data.py", line 974, in merge_index
return obj1.join(obj2, how=how, sort=sort)
File "/localdisk/dchigare/miniconda3/envs/modin_tests/lib/python3.7/site-packages/pandas/core/indexes/datetimelike.py", line 893, in join
sort=sort,
File "/localdisk/dchigare/miniconda3/envs/modin_tests/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3483, in join
return this.join(other, how=how, return_indexers=return_indexers)
File "/localdisk/dchigare/miniconda3/envs/modin_tests/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3494, in join
other, how=how, return_indexers=return_indexers
File "/localdisk/dchigare/miniconda3/envs/modin_tests/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 3815, in _join_monotonic
join_index, lidx, ridx = self._left_indexer(sv, ov)
File "/localdisk/dchigare/miniconda3/envs/modin_tests/lib/python3.7/site-packages/pandas/core/indexes/base.py", line 257, in _left_indexer
return libjoin.left_join_indexer(left, right)
File "pandas/_libs/join.pyx", line 357, in pandas._libs.join.left_join_indexer
TypeError: '<' not supported between instances of 'Timestamp' and 'int'

# Fixed code
def setitem(self, axis, key, value):
    """Set the column defined by `key` to the `value` provided.

    Args:
        key: The column name to set.
        value: The value to set the column to.

    Returns:
         A new QueryCompiler
    """
    return self._setitem(axis=axis, key=key, value=value, how=None)