code: def av(ticker: str, **kwargs):
      print(f"[!] kwargs: {kwargs}")
      verbose = kwargs.pop("verbose", False)
      kind = kwargs.pop("kind", "history")
      kind = kind.lower()
      interval = kwargs.pop("interval", "D")
      show = kwargs.pop("show", None)
      # last = kwargs.pop("last", RATE["TRADING_DAYS_PER_YEAR"])
  
      ticker = (
          ticker.upper()
          if ticker is not None and isinstance(ticker, str)
          else None
      )
  
      if Imports["alphaVantage-api"] and ticker is not None:
          # from alphaVantageAPI import alphavantage
          import alphaVantageAPI as AV
  
          AVC = {
              "api_key": "YOUR API KEY",
              "clean": True,
              "export": False,
              "output_size": "full",
              "premium": False,
          }
          _config = kwargs.pop("av_kwargs", AVC)
          av = AV.AlphaVantage(**_config)
  
          period = kwargs.pop("period", av.output_size)
  
          _all, div = ["all"], "=" * 53  # Max div width is 80
  
          if kind in _all or verbose:
              pass
  
          if kind in _all + ["history", "h"]:
              if verbose:
                  print(
                      "\n====  Chart History       "
                      + div
                      + f"\n[*] Pandas TA v{version} & alphaVantage-api"
                  )
                  print(
                      f"[+] Downloading {ticker}[{interval}:{period}] from {av.API_NAME} (https://www.alphavantage.co/)"
                  )
              df = av.data(ticker, interval)
              df.name = ticker
              if (
                  show is not None
                  and isinstance(show, int)
                  and show > 0
              ):
                  print(f"\n{df.name}\n{df.tail(show)}\n")
              return df
  
      return DataFrame()
  
label_desc: Use image node_id 1 for calling a global function with example usage: av(ticker) and returns: DataFrame, df