class_docstr: Tests of input validation and output correctness of function `generate_shift_rule`.
class_docstr_tok: ["Tests","of","input","validation","and","output","correctness","of","function","`","generate_shift_rule","`","."]
docstr: Tests the correct four term shift rule is generated given non-integer frequencies.
code: def test_non_integer_frequency_default_shifts(self):
      """Tests the correct four term shift rule is generated given non-integer frequencies."""
  
      frequencies = (1 / 3, 2 / 3)
  
      correct_terms = [
          [0.2845177968644246, 3 * np.pi / 4],
          [-0.2845177968644246, -3 * np.pi / 4],
          [-0.048815536468908745, 9 * np.pi / 4],
          [0.048815536468908745, -9 * np.pi / 4],
      ]
  
      generated_terms = generate_shift_rule(frequencies)
  
      assert np.allclose(generated_terms, correct_terms)
  
imports: import pytest
  import numpy
  import pennylane
  from pennylane.gradients.general_shift_rules import eigvals_to_frequencies, frequencies_to_period, generate_shift_rule, _get_shift_rule, generate_multi_shift_rule, generate_shifted_tapes, generate_multishifted_tapes, _iterate_shift_rule_with_multipliers
label_desc: Use image node_id 7 for calling the TestGenerateShiftRule obj's underlying member method code with example usage: obj.test_non_integer_frequency_default_shifts() without return types