code: def midprice(
      high, low, length=None, talib=None, offset=None, **kwargs
  ):
      """Indicator: Midprice"""
      # Validate arguments
      length = int(length) if length and length > 0 else 2
      min_periods = (
          int(kwargs["min_periods"])
          if "min_periods" in kwargs
          and kwargs["min_periods"] is not None
          else length
      )
      _length = max(length, min_periods)
      high = verify_series(high, _length)
      low = verify_series(low, _length)
      offset = get_offset(offset)
      mode_tal = bool(talib) if isinstance(talib, bool) else True
  
      if high is None or low is None:
          return
  
      # Calculate Result
      if Imports["talib"] and mode_tal:
          from talib import MIDPRICE
  
          midprice = MIDPRICE(high, low, length)
      else:
          lowest_low = low.rolling(
              length, min_periods=min_periods
          ).min()
          highest_high = high.rolling(
              length, min_periods=min_periods
          ).max()
          midprice = 0.5 * (lowest_low + highest_high)
  
      # Offset
      if offset != 0:
          midprice = midprice.shift(offset)
  
      # Handle fills
      if "fillna" in kwargs:
          midprice.fillna(kwargs["fillna"], inplace=True)
      if "fill_method" in kwargs:
          midprice.fillna(method=kwargs["fill_method"], inplace=True)
  
      # Name and Categorize it
      midprice.name = f"MIDPRICE_{length}"
      midprice.category = "overlap"
  
      return midprice
  
label_desc: Use image node_id 1 for calling a global function with example usage: midprice(high, low, length, talib, offset) and returns: midprice