class_docstr: Test the properties of the symbolic op.
class_docstr_tok: ["Test","the","properties","of","the","symbolic","op","."]
docstr: Test parameter property is a list of the base's trainable parameters.
docstr_tok: ["Test","parameter","property","is","a","list","of","the","base","'s","trainable","parameters","."]
code: def test_parameters(self):
      """Test parameter property is a list of the base's trainable parameters."""
      x = np.array(9.876)
      base = Operator(x, "b")
      op = SymbolicOp(base)
      assert op.parameters == [x]
  
imports: from copy import copy
  import pytest
  import pennylane
  from pennylane import numpy
  from pennylane.operation import Operator
  from pennylane.ops.op_math import SymbolicOp, ScalarSymbolicOp
  from pennylane.wires import Wires
label_desc: Use image node_id 2 for calling the TestProperties obj's underlying member method code with example usage: obj.test_parameters() without return types