<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def _period_array_cmp(cls, op):
 """ Wrap comparison operations to convert Period-like to PeriodDtype """

    opname = '__{name}__'.format(name=op.__name__)
    nat_result = opname == '__ne__'

    def wrapper(self, other):
        op = getattr(self.asi8, opname)

        if isinstance(other, (ABCDataFrame, ABCSeries, ABCIndexClass)):
            return NotImplemented

        if is_list_like(other) and len(other) != len(self):
            raise ValueError("Lengths must match")

        if isinstance(other, Period):
            self._check_compatible_with(other)

            result = op(other.ordinal)
        elif isinstance(other, cls):
            self._check_compatible_with(other)

            result = op(other.asi8)

            mask = self._isnan | other._isnan
            if mask.any():
                result[mask] = nat_result

            return result
        elif other is NaT:
            result = np.empty(len(self.asi8), dtype=bool)
            result.fill(nat_result)
        else:
            other = Period(other, freq=self.freq)
            result = op(other.ordinal)

        if self._hasnans:
            result[self._isnan] = nat_result

        return result

    return compat.set_function_name(wrapper, opname, cls)