code: def circuit_decomposed(weights):
      qml.PauliRot(weights[0], "XI", wires=[0, 1])
      qml.PauliRot(weights[1], "YI", wires=[0, 1])
      qml.PauliRot(weights[2], "IX", wires=[0, 1])
      qml.PauliRot(weights[3], "IY", wires=[0, 1])
      qml.PauliRot(weights[4], "XX", wires=[0, 1])
      qml.PauliRot(weights[5], "XY", wires=[0, 1])
      return qml.expval(qml.PauliZ(0))
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane import numpy
  from pennylane.templates.state_preparations.arbitrary_state_preparation import _state_preparation_pauli_words
label_desc: Use image node_id 3 for calling a global function with example usage: circuit_decomposed(weights) and returns: qml