code: def clicks_intensity(
      seconds_between_clicks: float = 0.5,
      snr_level_db: float = 1.0,
      **kwargs,
  ) -> float:
      assert (
          isinstance(seconds_between_clicks, (float, int))
          and seconds_between_clicks >= 0
      ), "seconds_between_clicks must be a nonnegative number"
      assert isinstance(
          snr_level_db, (float, int)
      ), "snr_level_db must be a number"
      max_seconds_between_clicks_val = 60.0
      max_snr_level_db_val = 110.0
      seconds_between_clicks_intensity = (
          max_seconds_between_clicks_val - seconds_between_clicks
      ) / max_seconds_between_clicks_val
      snr_level_db_intensity = (
          max_snr_level_db_val - snr_level_db
      ) / max_snr_level_db_val
      return min(
          (seconds_between_clicks_intensity * snr_level_db_intensity)
          * 100.0,
          100.0,
      )
  
imports: from typing import Any, Callable, Dict, Optional, Tuple
  import numpy
label_desc: Use image node_id 4 for calling a global function with example usage: clicks_intensity(seconds_between_clicks, snr_level_db) and returns: min