text: from PIL import Image
  from .registry import DATASETS
  from .base import BaseDataset
  
  
  @DATASETS.register_module()
  class DeepClusterDataset(BaseDataset):
      """Dataset for DC and ODC.
      """
  
      def __init__(self, data_source, pipeline):
          super(DeepClusterDataset, self).__init__(data_source, pipeline)
          # init clustering labels
          self.labels = [-1 for _ in range(self.data_source.get_length())]
  
      def __getitem__(self, idx):
          img = self.data_source.get_sample(idx)
          assert isinstance(img, Image.Image), \
              'The output from the data source must be an Image, got: {}. \
              Please ensure that the list file does not contain labels.'.format(
              type(img))
          label = self.labels[idx]
          img = self.pipeline(img)
          return dict(img=img, pseudo_label=label, idx=idx)
  
      def assign_labels(self, labels):
          assert len(self.labels) == len(labels), \
              "Inconsistent lenght of asigned labels, \
              {} vs {}".format(len(self.labels), len(labels))
          self.labels = labels[:]
  
      def evaluate(self, scores, keyword, logger=None):
  
          raise NotImplemented
  