code: def read_data_and_make_dataframes(
      input_path: str,
  ) -> Tuple[pd.DataFrame, pd.DataFrame]:
      """Loads data from a file into one dataframe as-is and one by task.
  
      Args:
        input_path: str, path of the input TSV file (may be sharded).
  
      Returns:
        df: A dataframe with one row per region.
        by_task: A dataframe with one row per task.
      """
      df = read_sharded_runtime_tsvs(input_path)
      df = calculate_totals(df)
      by_task = summarize_by_task(df)
      return df, by_task
  
imports: from typing import Dict, Sequence, List, Tuple, Text, Union
  from absl import app
  from absl import flags
  import altair
  import pandas
  import tensorflow
  from third_party.nucleus.io import sharded_file_utils
  from deepvariant import dashboard_utils
label_desc: Use image node_id 14 for calling a global function with example usage: read_data_and_make_dataframes(input_path) and returns: df,  by_task