# Buggy code
def apply(
    self,
    func,
    axis=0,
    broadcast=None,
    raw=False,
    reduce=None,
    result_type=None,
    convert_dtype=True,
    args=(),
    **kwds,
):
    """Apply a function along input axis of DataFrame.

    Args:
        func: The function to apply
        axis: The axis over which to apply the func.
        broadcast: Whether or not to broadcast.
        raw: Whether or not to convert to a Series.
        reduce: Whether or not to try to apply reduction procedures.

    Returns:
        Series or DataFrame, depending on func.
    """
    axis = self._get_axis_number(axis)
    ErrorMessage.non_verified_udf()
    if isinstance(func, str):
        result = self._query_compiler.apply(func, axis=axis, *args, **kwds)
        if isinstance(result, BasePandasDataset):
            return result._query_compiler
        return result
    elif isinstance(func, dict):
        if axis == 1:
            raise TypeError(
                "(\"'dict' object is not callable\", 'occurred at index {0}'".format(
                    self.index[0]
                )
            )
        if len(self.columns) != len(set(self.columns)):
            warnings.warn(
                "duplicate column names not supported with apply().",
                FutureWarning,
                stacklevel=2,
            )
    elif not callable(func) and not is_list_like(func):
        raise TypeError("{} object is not callable".format(type(func)))
    query_compiler = self._query_compiler.apply(func, axis, args=args, **kwds)
    return query_compiler


# Traceback (Exception)
FutureWarning: pandas.core.index is deprecated and will be removed in a future version.  The public classes are available in the top-level namespace.
UserWarning: User-defined function verification is still under development in Modin. The function provided is not verified.
empty !
Traceback (most recent call last):
File "./test2.py", line 24, in <module>
rn = r.to_numpy()
File "~/.local/lib/python3.7/site-packages/modin/pandas/base.py", line 2962, in to_numpy
arr = self._query_compiler.to_numpy()
File "~/.local/lib/python3.7/site-packages/modin/backends/pandas/query_compiler.py", line 169, in to_numpy
len(arr) != len(self.index) or len(arr[0]) != len(self.columns)
File "~/.local/lib/python3.7/site-packages/modin/error_message.py", line 40, in catch_bugs_and_request_email
" caused this error.\n{}".format(extra_log)
Exception: Internal Error. Please email bug_reports@modin.org with the traceback and command that caused this error.

# Fixed code
def apply(
    self,
    func,
    axis=0,
    broadcast=None,
    raw=False,
    reduce=None,
    result_type=None,
    convert_dtype=True,
    args=(),
    **kwds,
):
    """Apply a function along input axis of DataFrame.

    Args:
        func: The function to apply
        axis: The axis over which to apply the func.
        broadcast: Whether or not to broadcast.
        raw: Whether or not to convert to a Series.
        reduce: Whether or not to try to apply reduction procedures.

    Returns:
        Series or DataFrame, depending on func.
    """
    axis = self._get_axis_number(axis)
    ErrorMessage.non_verified_udf()
    if isinstance(func, str):
        result = self._query_compiler.apply(
            func,
            axis=axis,
            raw=raw,
            result_type=result_type,
            *args,
            **kwds,
        )
        if isinstance(result, BasePandasDataset):
            return result._query_compiler
        return result
    elif isinstance(func, dict):
        if axis == 1:
            raise TypeError(
                "(\"'dict' object is not callable\", 'occurred at index {0}'".format(
                    self.index[0]
                )
            )
        if len(self.columns) != len(set(self.columns)):
            warnings.warn(
                "duplicate column names not supported with apply().",
                FutureWarning,
                stacklevel=2,
            )
    elif not callable(func) and not is_list_like(func):
        raise TypeError("{} object is not callable".format(type(func)))
    query_compiler = self._query_compiler.apply(
        func,
        axis,
        args=args,
        raw=raw,
        result_type=result_type,
        **kwds,
    )
    return query_compiler