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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 objective_fun(theta, hamiltonian=None, quantum_resource=QVMConnection(sync_endpoint='http://localhost:5000')):
 """ Evaluate the Hamiltonian bny operator averaging :param theta: :param hamiltonian: :return: """

    if hamiltonian is None:
        # Hamiltonian is Identity
        return 1.0

    if isinstance(hamiltonian, PauliSum):
        result = estimate_locally_commuting_operator(ucc_circuit(theta), hamiltonian,
                                                     1.0E-6, quantum_resource=quantum_resource)
        result = result[0][0].real  # first output is expected value, second is variance, third is shots
    elif isinstance(hamiltonian, np.ndarray) and isinstance(quantum_resource, QVMConnection):
        wf = quantum_resource.wavefunction(ucc_circuit(theta))
        wf = wf.amplitudes.reshape((-1, 1))
        result = np.conj(wf).T.dot(hamiltonian).dot(wf)[0, 0].real
        print(result)
    else:
        raise TypeError("type of hamiltonian or qvm is unrecognized")

    return result