code: def get_qnode(interface, diff_method, return_type, shots, wire_specs):
      """Return a QNode with the given attributes.
  
      This function includes a general QNode definition that is used to create a
      specific QNode using the provided parameters:
  
      * input interface,
      * differentiation method,
      * return type and
      * the number of shots for the device.
      * the wire specifications, see the comment above
      """
      (
          device_wires,
          wire_labels,
          single_meas_wire,
          multi_meas_wire,
      ) = wire_specs
  
      dev = qml.device("default.qubit", wires=device_wires, shots=shots)
  
      # pylint: disable=too-many-return-statements
      @qml.qnode(dev, interface=interface, diff_method=diff_method)
      def circuit(x):
          for i, wire_label in enumerate(wire_labels):
              qml.Hadamard(wires=wire_label)
              qml.RX(x[i], wires=wire_label)
  
          if return_type == "StateCost":
              return qml.state()
          if return_type == "StateVector":
              return qml.state()
          if return_type == "DensityMatrix":
              return qml.density_matrix(wires=single_meas_wire)
          if return_type == Probability:
              return qml.probs(wires=multi_meas_wire)
          if return_type == Sample:
              return qml.sample(wires=multi_meas_wire)
          if return_type == Expectation:
              return qml.expval(qml.PauliZ(wires=single_meas_wire))
          if return_type == "Hermitian":
              return qml.expval(
                  qml.Hermitian(
                      np.array(
                          [[1.0, 0.0], [0.0, -1.0]], requires_grad=False
                      ),
                      wires=single_meas_wire,
                  )
              )
          if return_type == "Projector":
              return qml.expval(
                  qml.Projector(np.array([1]), wires=single_meas_wire)
              )
          if return_type == Variance:
              return qml.var(qml.PauliZ(wires=single_meas_wire))
          if return_type == VnEntropy:
              return qml.vn_entropy(wires=single_meas_wire)
          if return_type == MutualInfo:
              wires1 = [w for w in wire_labels if w != single_meas_wire]
              return qml.mutual_info(
                  wires0=[single_meas_wire], wires1=wires1
              )
          return None
  
      return circuit
  
imports: import pytest
  import pennylane
  from pennylane import numpy
  from pennylane import QuantumFunctionError
  from pennylane.measurements import Probability, Expectation, Variance, Sample, VnEntropy, MutualInfo
  from pennylane.measurements.measurements import ObservableReturnTypes
label_desc: Use image node_id 1 for calling a global function with example usage: get_qnode(interface, diff_method, return_type, shots, wire_specs) and returns: circuit, None, qml, qml, qml, qml, qml, qml, qml, qml, qml, qml, qml