code: def test_no_error_missing_frequency_info_untrainable():
      """Test that no error is raised if neither nums_frequency nor spectra
      is given for a parameter not marked as trainable."""
  
      opt = RotosolveOptimizer()
      fun = lambda x, y: x
      x = np.array(0.5, requires_grad=True)
      y = np.array(0.1, requires_grad=False)
      nums_frequency = {"x": {(): 1}}
  
      opt.step(fun, x, y, nums_frequency=nums_frequency)
  
imports: import functools
  import pytest
  from scipy.optimize import shgo
  import pennylane
  from pennylane import numpy
  from pennylane.utils import _flatten, unflatten
  from pennylane.optimize import RotosolveOptimizer
label_desc: Use image node_id 4 for calling a global function with example usage: test_no_error_missing_frequency_info_untrainable() without return types