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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 spsolve(A, b, comm=None):
 """Sparse solve A\b."""


    assert A.dtype == 'd' and b.dtype == 'd', "Only double precision supported."
    with DMumpsContext(par=1, sym=0, comm=comm) as ctx:
        if ctx.myid == 0:
            # Set the sparse matrix -- only necessary on
            ctx.set_centralized_sparse(A.tocoo())
            x = b.copy()
            ctx.set_rhs(x)

        # Silence most messages
        ctx.set_silent()

        # Analysis + Factorization + Solve
        ctx.run(job=6)

        if ctx.myid == 0:
            return x