class_docstr: Test the utility _insert_op.
class_docstr_tok: ["Test","the","utility","_insert_op","."]
docstr: Test that the input tape and inserted ops are taken into account correctly.
docstr_tok: ["Test","that","the","input","tape","and","inserted","ops","are","taken","into","account","correctly","."]
code: def test_output_properties(self, ops_and_meas, op_idx, ops):
      """Test that the input tape and inserted ops are taken into account correctly."""
      evolve_op = qml.evolve(qml.pulse.constant * Z("a"))(
          [np.array(0.2)], 0.2
      )
      operations, measurements = ops_and_meas
      operations = [
          evolve_op if isinstance(op, str) else op for op in operations
      ]
      tape = qml.tape.QuantumScript(operations, measurements)
      new_tapes = _insert_op(tape, ops, op_idx)
      assert isinstance(new_tapes, list) and len(new_tapes) == len(ops)
      for t, op in zip(new_tapes, ops):
          assert all(
              qml.equal(o0, o1)
              for o0, o1 in zip(t[:op_idx], tape[:op_idx])
          )
          assert qml.equal(t[op_idx], op)
          assert all(
              qml.equal(o0, o1)
              for o0, o1 in zip(t[op_idx + 1 :], tape[op_idx:])
          )
  
imports: import copy
  import pytest
  import numpy
  import pennylane
  from pennylane import numpy
  from pennylane.ops.qubit.special_unitary import pauli_basis_matrices, pauli_basis_strings
  from pennylane.math import expand_matrix
  from pennylane.gradients.pulse_gradient_odegen import _generate_tapes_and_coeffs, pulse_odegen, _insert_op, _nonzero_coeffs_and_words, _one_parameter_generators, _one_parameter_paulirot_coeffs, _parshift_and_contract
label_desc: Use image node_id 1 for calling the TestInsertOp obj's underlying member method code with example usage: obj.test_output_properties(ops_and_meas, op_idx, ops) without return types