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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 optimized_for_xmon( circuit: circuits.Circuit, new_device: Optional[xmon_device.XmonDevice] = None, qubit_map: Callable[[ops.Qid], devices.GridQubit] = lambda e: cast(devices.GridQubit, e), allow_partial_czs: bool = False, ) -> circuits.Circuit: """Optimizes a circuit with XmonDevice in mind. Starts by converting the circuit's operations to the xmon gate set, then begins merging interactions and rotations, ejecting pi-rotations and phasing operations, dropping unnecessary operations, and pushing operations earlier. Args: circuit: The circuit to optimize. new_device: The device the optimized circuit should be targeted at. If set to None, the circuit's current device is used. qubit_map: Transforms the qubits (e.g. so that they are GridQubits). allow_partial_czs: If true, the optimized circuit may contain partial CZ gates. Otherwise all partial CZ gates will be converted to full CZ gates. At worst, two CZ gates will be put in place of each partial CZ from the input. Returns: The optimized circuit. """

    copy = circuit.copy()
    opts = _OPTIMIZERS_PART_CZ if allow_partial_czs else _OPTIMIZERS
    for optimizer in opts:
        optimizer(copy)

    return circuits.Circuit.from_ops(
        (op.transform_qubits(qubit_map) for op in copy.all_operations()),
        strategy=circuits.InsertStrategy.EARLIEST,
        device=new_device or copy.device)