code: def render_time_series(
      data: List[Dict[str, Union[Dict[Union[float, str], Any], str]]],
      config: Dict[str, bool],
  ) -> None:
      """Renders the time series view in Colab.
  
      Args:
        data: A list of dictionary containing metrics for different evaluation runs.
        config: A dictionary of the configuration.
      """
      util.render_tfma_component(
          "tfma-nb-time-series",
          data,
          config,
          trusted_html_for_vulcanized_tfma_js=get_trusted_html_for_vulcanized_js(),
      )
  
imports: from typing import Any, Callable, Dict, List, Optional, Union
  from tensorflow_model_analysis.notebook.colab import util
label_desc: Use image node_id 3 for calling a global function with example usage: render_time_series(data, config) without return types