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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 condensed_coords_within(pop, n):
 """Return indices into a condensed distance matrix for all pairwise comparisons within the given population. Parameters pop : array_like, int Indices of samples or haplotypes within the population. n : int Size of the square matrix (length of first or second dimension). Returns ------- indices : ndarray, int """


    return [condensed_coords(i, j, n)
            for i, j in itertools.combinations(sorted(pop), 2)]