code: def load_table_from_config(input_dir, config):
      
      path = pathlib.Path(input_dir).joinpath(config['path'])
      kwargs = config['pd_read_kwargs']
      return pd.read_csv(path, **kwargs)
docs: Load table from table config dict
  
      Args:
          input_dir (path-like): directory containing input files
          config (dict): mapping with keys 'name', 'path', and 'pd_read_kwargs'.
  
      Returns:
          pd.DataFrame