old_contents: """
  Normally, this files contains all necessary code to execute successfully the solution of the problem
  but in this case (because this version is not stable) all code is in "TFModel_backup.py" file.
  """
  
  
new_contents: """
  Normally, this files contains all necessary code to execute successfully the solution of the problem
  but in this case (because this version is not stable) all code is in "TFModel_backup.py" file.
  """
  
  # TODO Define Code
  """
  TFBooster Code to solve problem
  """
  setting_object = SettingsObject.Settings(Dictionary.string_settings_german_signal_path)
  
  path_train_and_test_images = [setting_object.train_path,setting_object.test_path]
  number_of_classes = 59 # Start in 0
  percentages_sets = None  # Example
  labels_set = [Dictionary.string_labels_type_option_hierarchy]
  is_an_unique_csv = False  # If this variable is true, then only one CSV file will be passed and it will be treated like
  # trainSet, validationSet(if necessary) and testSet
  known_data_type = ''  # Contains the type of data if the data file contains an unique type of data. Examples: # Number
  # or Chars.
  
  reader_features = tfr.ReaderFeatures(set_data_files = path_train_and_test_images,number_of_classes = number_of_classes,
                                        labels_set = labels_set,
                                        is_unique_csv = is_an_unique_csv,known_data_type = known_data_type,
                                        percentages_sets = percentages_sets)
  
  """
  Creating Reader from ReaderFeatures
  """
  tf_reader = tfr.Reader(reader_features = reader_features)  # Reader Object with all information
  
  """
  Getting train, validation (if necessary) and test set.
  """
  test_set = tf_reader.test_set  # Test Set
  train_set = tf_reader.train_set  # Train Set
  del reader_features
  del tf_reader
  
  models = models.TFModels(input=train_set[0],test=test_set[0],
                           input_labels=train_set[1],test_labels=test_set[1],
                           number_of_classes=number_of_classes, setting_object=setting_object)
  models.convolution_model_image()
subject: Add TFBooster Code to Solve "German signal" problem