class_docstr: Test the private helpers for preprocessing.
class_docstr_tok: ["Test","the","private","helpers","for","preprocessing","."]
docstr: Test the _operator_decomposition_gen function on an operator that is accepted.
docstr_tok: ["Test","the","_operator_decomposition_gen","function","on","an","operator","that","is","accepted","."]
code: def test_operator_decomposition_gen_accepted_operator(self, op):
      """Test the _operator_decomposition_gen function on an operator that is accepted."""
  
      def stopping_condition(op):
          return op.has_matrix
  
      casted_to_list = list(
          _operator_decomposition_gen(
              op, stopping_condition, self.decomposer
          )
      )
      assert len(casted_to_list) == 1
      assert casted_to_list[0] is op
  
imports: import pytest
  import pennylane
  from pennylane.operation import Operation
  from pennylane.tape import QuantumScript
  from pennylane import DeviceError
  from pennylane.devices.preprocess import no_sampling, validate_device_wires, validate_multiprocessing_workers, validate_adjoint_trainable_params, _operator_decomposition_gen, decompose, validate_observables, validate_measurements
label_desc: Use image node_id 2 for calling the TestPrivateHelpers obj's underlying member method code with example usage: obj.test_operator_decomposition_gen_accepted_operator(op) and returns: op