code: def load_robot_execution_failures(
      multiclass=False, file_name=data_file_name
  ):
      """
      Load the Robot Execution Failures LP1 Data Set[1].
      The Time series are passed as a flat DataFrame.
  
      Examples
      ========
  
      >>> from tsfresh.examples import load_robot_execution_failures
      >>> df, y = load_robot_execution_failures()
      >>> print(df.shape)
      (1320, 8)
  
      :param multiclass: If True, return all target labels. The default returns only "normal" vs all other labels.
      :type multiclass: bool
      :return: time series data as :class:`pandas.DataFrame` and target vector as :class:`pandas.Series`
      :rtype: tuple
      """
      if not os.path.exists(file_name):
          raise RuntimeError(UCI_MLD_REF_MSG)
  
      id_to_target = {}
      df_rows = []
  
      with open(file_name) as f:
          cur_id = 0
          time = 0
  
          for line in f.readlines():
              # New sample --> increase id, reset time and determine target
              if line[0] not in ["\t", "\n"]:
                  cur_id += 1
                  time = 0
                  if multiclass:
                      id_to_target[cur_id] = line.strip()
                  else:
                      id_to_target[cur_id] = line.strip() == "normal"
              # Data row --> split and convert values, create complete df row
              elif line[0] == "\t":
                  values = list(map(int, line.split("\t")[1:]))
                  df_rows.append([cur_id, time] + values)
                  time += 1
  
      df = pd.DataFrame(
          df_rows,
          columns=[
              "id",
              "time",
              "F_x",
              "F_y",
              "F_z",
              "T_x",
              "T_y",
              "T_z",
          ],
      )
      y = pd.Series(id_to_target)
  
      return df, y
  
imports: import logging
  import os
  from builtins import map
  import pandas
  import requests
label_desc: Use image node_id 2 for calling a global function with example usage: load_robot_execution_failures(multiclass, file_name) and returns: df,  y