Traceback (most recent call last):
      File "/Users/danielallan/Documents/Repos/pandas-danielballan/pandas/tseries/tests/test_timedeltas.py", line 253, in test_timedelta_ops_with_missing_values
        actual = s1 + NA
      File "/Users/danielallan/Documents/Repos/pandas-danielballan/pandas/core/ops.py", line 455, in wrapper
        time_converted = _TimeOp.maybe_convert_for_time_op(left, right, name)
      File "/Users/danielallan/Documents/Repos/pandas-danielballan/pandas/core/ops.py", line 424, in maybe_convert_for_time_op
        return cls(left, right, name)
      File "/Users/danielallan/Documents/Repos/pandas-danielballan/pandas/core/ops.py", line 258, in __init__
        rvalues = self._convert_to_array(right, name=name)
      File "/Users/danielallan/Documents/Repos/pandas-danielballan/pandas/core/ops.py", line 359, in _convert_to_array
        " operation".format(pa.array(values).dtype))
    TypeError: incompatible type [float64] for a datetime/timedelta operation