class_docstr: Collect all tasks into a single result.csv file
class_docstr_tok: ["Collect","all","tasks","into","a","single","result.csv","file"]
code: def requires(self):
      settings = ComprehensiveFCParameters()
      for job in [0, 1, 4]:
          for time_series_length in [100, 500, 1000, 5000]:
              yield FullTimingTask(
                  time_series_length=time_series_length,
                  n_jobs=job,
                  num_ids=10,
                  random_seed=42,
              )
              yield FullTimingTask(
                  time_series_length=time_series_length,
                  n_jobs=job,
                  num_ids=100,
                  random_seed=42,
              )
  
              for feature_name in settings:
                  yield TimingTask(
                      feature_parameter={
                          feature_name: settings[feature_name]
                      },
                      time_series_length=time_series_length,
                      n_jobs=job,
                      num_ids=100,
                      try_number=0,
                      random_seed=42,
                  )
  
                  for try_number in range(3):
                      yield TimingTask(
                          feature_parameter={
                              feature_name: settings[feature_name]
                          },
                          n_jobs=job,
                          try_number=try_number,
                          num_ids=10,
                          time_series_length=time_series_length,
                          random_seed=42,
                      )
  
imports: import json
  from time import time
  import b2luigi
  import numpy
  import pandas
  from tsfresh.feature_extraction import ComprehensiveFCParameters, MinimalFCParameters, extract_features
label_desc: Use image node_id 2 for calling the CombinerTask obj's underlying member method code with example usage: obj.requires() without return types