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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 _get_qvm_with_topology(name: str, topology: nx.Graph, noisy: bool = False, requires_executable: bool = True, connection: ForestConnection = None, qvm_type: str = 'qvm') -> QuantumComputer: """Construct a QVM with the provided topology. :param name: A name for your quantum computer. This field does not affect behavior of the constructed QuantumComputer. :param topology: A graph representing the desired qubit connectivity. :param noisy: Whether to include a generic noise model. If you want more control over the noise model, please construct your own :py:class:`NoiseModel` and use :py:func:`_get_qvm_qc` instead of this function. :param requires_executable: Whether this QVM will refuse to run a :py:class:`Program` and only accept the result of :py:func:`compiler.native_quil_to_executable`. Setting this to True better emulates the behavior of a QPU. :param connection: An optional :py:class:`ForestConnection` object. If not specified, the default values for URL endpoints will be used. :param qvm_type: The type of QVM. Either 'qvm' or 'pyqvm'. :return: A pre-configured QuantumComputer """

    # Note to developers: consider making this function public and advertising it.
    device = NxDevice(topology=topology)
    if noisy:
        noise_model = decoherence_noise_with_asymmetric_ro(gates=gates_in_isa(device.get_isa()))
    else:
        noise_model = None
    return _get_qvm_qc(name=name, qvm_type=qvm_type, connection=connection, device=device,
                       noise_model=noise_model, requires_executable=requires_executable)