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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 solver(A, config):
 """Generate an SA solver given matrix A and a configuration. Parameters A : array, matrix, csr_matrix, bsr_matrix Matrix to invert, CSR or BSR format preferred for efficiency config : dict A dictionary of solver configuration parameters that is used to generate a smoothed aggregation solver Returns ------- ml : smoothed_aggregation_solver smoothed aggregation hierarchy Notes ----- config must contain the following parameter entries for smoothed_aggregation_solver: symmetry, smooth, presmoother, postsmoother, B, strength, max_levels, max_coarse, coarse_solver, aggregate, keep Examples -------- """

    # Convert A to acceptable format
    A = make_csr(A)

    # Generate smoothed aggregation solver
    try:
        return \
            smoothed_aggregation_solver(A,
                                        B=config['B'],
                                        BH=config['BH'],
                                        smooth=config['smooth'],
                                        strength=config['strength'],
                                        max_levels=config['max_levels'],
                                        max_coarse=config['max_coarse'],
                                        coarse_solver=config['coarse_solver'],
                                        symmetry=config['symmetry'],
                                        aggregate=config['aggregate'],
                                        presmoother=config['presmoother'],
                                        postsmoother=config['postsmoother'],
                                        keep=config['keep'])
    except BaseException:
        raise TypeError('Failed generating smoothed_aggregation_solver')