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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 hmetis(hdf5_file_name, N_clusters_max, w = None):
 """Gives cluster labels ranging from 1 to N_clusters_max for hypergraph partitioning required for HGPA. Parameters hdf5_file_name : file handle or string N_clusters_max : int w : array, optional (default = None) Returns ------- labels : array of shape (n_samples,) A vector of labels denoting the cluster to which each sample has been assigned as a result of the HGPA approximation algorithm for consensus clustering. Reference --------- G. Karypis, R. Aggarwal, V. Kumar and S. Shekhar, "Multilevel hypergraph partitioning: applications in VLSI domain" In: IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 7, No. 1, pp. 69-79, 1999. """


    if w is None:
        file_name = wgraph(hdf5_file_name, None, 2)
    else:
        file_name = wgraph(hdf5_file_name, w, 3)
    labels = sgraph(N_clusters_max, file_name)
    labels = one_to_max(labels)

    subprocess.call(['rm', file_name])

    return labels