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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 _get_coords(self, obj):
 """ Get the coordinates of the 2D aggregate, maintaining the correct sorting order. """

        xdim, ydim = obj.dimensions(label=True)[:2]
        xcoords = obj.dimension_values(xdim, False)
        ycoords = obj.dimension_values(ydim, False)

        # Determine global orderings of y-values using topological sort
        grouped = obj.groupby(xdim, container_type=OrderedDict,
                              group_type=Dataset).values()
        orderings = OrderedDict()
        sort = True
        for group in grouped:
            vals = group.dimension_values(ydim, False)
            if len(vals) == 1:
                orderings[vals[0]] = [vals[0]]
            else:
                for i in range(len(vals)-1):
                    p1, p2 = vals[i:i+2]
                    orderings[p1] = [p2]
            if sort:
                if vals.dtype.kind in ('i', 'f'):
                    sort = (np.diff(vals)>=0).all()
                else:
                    sort = np.array_equal(np.sort(vals), vals)
        if sort or one_to_one(orderings, ycoords):
            ycoords = np.sort(ycoords)
        elif not is_cyclic(orderings):
            coords = list(itertools.chain(*sort_topologically(orderings)))
            ycoords = coords if len(coords) == len(ycoords) else np.sort(ycoords)
        return xcoords, ycoords