code: def peaking_equalizer_intensity(
      q: float, gain_db: float, **kwargs
  ) -> float:
      assert (
          isinstance(q, (int, float)) and q > 0
      ), "Expected 'q' to be a positive number"
      assert isinstance(
          gain_db, (int, float)
      ), "Expected 'gain_db' to be a number"
  
      max_q_val, max_gain_db_val = 46, 110.0
      q_intensity = (max_q_val - q) / max_q_val
      gain_db_intensity = abs(gain_db) / max_gain_db_val
  
      return min((q_intensity * gain_db_intensity) * 100.0, 100.0)
  
imports: from typing import Any, Callable, Dict, Optional, Tuple
  import numpy
label_desc: Use image node_id 13 for calling a global function with example usage: peaking_equalizer_intensity(q, gain_db) and returns: min