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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 compute_similarity(a, b, margin=1.0, cutoff=10.0):
 """Compute the similarity between two molecules based on their descriptors Arguments: a -- the similarity measure of the first molecule b -- the similarity measure of the second molecule margin -- the sensitivity when comparing distances (default = 1.0) cutoff -- don't compare distances longer than the cutoff (default = 10.0 au) When comparing two distances (always between two atom pairs with identical labels), the folowing formula is used: dav = (distance1+distance2)/2 delta = abs(distance1-distance2) When the delta is within the margin and dav is below the cutoff: (1-dav/cutoff)*(cos(delta/margin/np.pi)+1)/2 and zero otherwise. The returned value is the sum of such terms over all distance pairs with matching atom types. When comparing similarities it might be useful to normalize them in some way, e.g. similarity(a, b)/(similarity(a, a)*similarity(b, b))**0.5 """

    return similarity_measure(
        a.table_labels, a.table_distances,
        b.table_labels, b.table_distances,
        margin, cutoff
    )