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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 locate_intersection_ranges(self, starts, stops):
 """Locate the intersection with a set of ranges. Parameters starts : array_like, int Range start values. stops : array_like, int Range stop values. Returns ------- loc : ndarray, bool Boolean array with location of entries found. loc_ranges : ndarray, bool Boolean array with location of ranges containing one or more entries. Examples -------- array([False, True, True, False, True]) array([False, True, False, True, False]) <SortedIndex shape=(3,) dtype=int64> [6, 11, 35] array([[ 6, 17], [31, 35]]) """


        # check inputs
        starts = asarray_ndim(starts, 1)
        stops = asarray_ndim(stops, 1)
        check_dim0_aligned(starts, stops)

        # find indices of start and stop values in idx
        start_indices = np.searchsorted(self, starts)
        stop_indices = np.searchsorted(self, stops, side='right')

        # find intervals overlapping at least one value
        loc_ranges = start_indices < stop_indices

        # find values within at least one interval
        loc = np.zeros(self.shape, dtype=np.bool)
        for i, j in zip(start_indices[loc_ranges], stop_indices[loc_ranges]):
            loc[i:j] = True

        return loc, loc_ranges