code: def circuit_decomposed(features):
      # convert tensor to list
      feats = list(qml.math.toarray(features))
      _ = [
          qml.PauliX(wires=i)
          for i, feat in enumerate(feats)
          if feat == 1
      ]
  
      return qml.state()
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: circuit_decomposed(features) and returns: qml