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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 metis(hdf5_file_name, N_clusters_max):
 """METIS algorithm by Karypis and Kumar. Partitions the induced similarity graph passed by CSPA. Parameters hdf5_file_name : string or file handle N_clusters_max : int 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 CSPA heuristics for consensus clustering. Reference --------- G. Karypis and V. Kumar, "A Fast and High Quality Multilevel Scheme for Partitioning Irregular Graphs" In: SIAM Journal on Scientific Computing, Vol. 20, No. 1, pp. 359-392, 1999. """


    file_name = wgraph(hdf5_file_name)
    labels = sgraph(N_clusters_max, file_name)
    subprocess.call(['rm', file_name])

    return labels