code: def clear_augmentations(self):
      # Good for loading data and then immediately
      # using it to train. Not yet implemented
  
      raise NotImplementedError
  
      self.augmentations = []
      self.multiplier = 1
  
      return
  
imports: import os
  import csv
  import numpy
  import tables
  import copy
  from tqdm import tqdm
  from deepneuro.augmentation.augment import Copy
  from deepneuro.utilities.conversion import read_image_files
  from deepneuro.data.data_group import DataGroup
  from deepneuro.data.data_load import parse_directories, parse_filepaths, parse_hdf5, parse_csv, parse_numpy
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 8 for calling the DataCollection obj's underlying member method code with example usage: obj.clear_augmentations() without return types