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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _process_args_as_rows_or_columns(self, arg, unpack=False):
 """ We must be able to interpret the args as as either a column name or row number, or sequences thereof. Numpy arrays and slices are also fine. Examples: 'field' 35 [35,55,86] Can also be tuples or arrays. """


        flags = set()
        #
        if isinstance(arg, (tuple, list, numpy.ndarray)):
            # a sequence was entered
            if isstring(arg[0]):
                result = arg
            else:
                result = arg
                flags.add('isrows')
        elif isstring(arg):
            # a single string was entered
            result = arg
        elif isinstance(arg, slice):
            if unpack:
                flags.add('isrows')
                result = self._slice2rows(arg.start, arg.stop, arg.step)
            else:
                flags.add('isrows')
                flags.add('isslice')
                result = self._process_slice(arg)
        else:
            # a single object was entered.
            # Probably should apply some more checking on this
            result = arg
            flags.add('isrows')
            if numpy.ndim(arg) == 0:
                flags.add('isscalar')

        return result, flags