code: def maybe_parse_reset_bounds(
      options: Optional[dict], default_low: float, default_high: float
  ) -> Tuple[float, float]:
      """
      This function can be called during a reset() to customize the sampling
      ranges for setting the initial state distributions.
  
      Args:
        options: Options passed in to reset().
        default_low: Default lower limit to use, if none specified in options.
        default_high: Default upper limit to use, if none specified in options.
  
      Returns:
        Tuple of the lower and upper limits.
      """
      if options is None:
          return default_low, default_high
  
      low = options.get("low") if "low" in options else default_low
      high = options.get("high") if "high" in options else default_high
  
      # We expect only numerical inputs.
      low = verify_number_and_cast(low)
      high = verify_number_and_cast(high)
      if low > high:
          raise ValueError(
              f"Lower bound ({low}) must be lower than higher bound ({high})."
          )
  
      return low, high
  
label_desc: Use image node_id 2 for calling a global function with example usage: maybe_parse_reset_bounds(options, default_low, default_high) and returns: low,  high, default_low,  default_high