code: def _resolve_renderer(
      renderer: Optional[str],
      threshold: int,
      data: Optional[pd.Series],
      X: Optional[List[pd.DataFrame]],
  ) -> str:
      """Decide the renderer to use for the Plotly plot based user settings and
      size of data. If user provides the `renderer` option, it is honored, else it
      gets decided based on size of dataset.
  
      Parameters
      ----------
      renderer : Optional[str]
          The renderer option selected by the user
      threshold : int
          The number of data points above which the hovering should be disabled.
      data : Optional[pd.Series]
          A series of data
      X : Optional[List[pd.DataFrame]]
          A list of dataframe of exogenous variables (1 dataframe per exogenous
          variable; each dataframe containing multiple columns corresponding to the
          plot data types requested)
  
      Returns
      -------
      str
          The renderer option to use for Plotly.
      """
      if renderer is None:
          renderer = pio.renderers.default
          if data is not None and len(data) > threshold:
              renderer = "png"
          if (
              X is not None
              and len(X) * len(X[0]) * X[0].shape[1] > threshold
          ):
              renderer = "png"
      # if renderer is not None, then use as is.
  
      return renderer
  
imports: from math import ceil
  from typing import Any, Dict, List, Optional, Tuple, Union
  import matplotlib
  import matplotlib.pyplot
  import numpy
  import pandas
  import plotly.express
  import plotly.graph_objects
  import plotly.io
  from plotly.colors import DEFAULT_PLOTLY_COLORS
  from plotly.subplots import make_subplots
  from scipy.fft import fft, fftfreq
  from scipy.signal import periodogram
  from statsmodels.graphics.gofplots import qqplot
  from statsmodels.tsa.seasonal import STL, seasonal_decompose
  from statsmodels.tsa.stattools import acf, ccf, pacf
  from pycaret.internal.logging import get_logger
  from pycaret.utils.generic import _resolve_dict_keys
  from pycaret.utils.time_series import TSAllowedPlotDataTypes
label_desc: Use image node_id 16 for calling a global function with example usage: _resolve_renderer(renderer, threshold, data, X) and returns: renderer