code: def test_read_distributed(self):
      distributed_set = TextSet.read(self.path, self.sc, 4)
      assert distributed_set.is_distributed()
      assert not distributed_set.get_word_index()
      assert len(distributed_set.get_texts().collect()) == 3
      assert sorted(distributed_set.get_labels().collect()) == [0, 0, 1]
      assert distributed_set.get_samples().collect() == [
          None,
          None,
          None,
      ]
      assert distributed_set.get_predicts().collect() == [
          (uri, None) for uri in distributed_set.get_uris().collect()
      ]
  
imports: import pytest
  import shutil
  from bigdl.optim.optimizer import SGD
  from zoo.feature.common import ChainedPreprocessing, Relations
  from zoo.feature.text import *
  from zoo.common.nncontext import *
  from zoo.models.textclassification import TextClassifier
  from zoo.models.textmatching import KNRM
  from zoo.pipeline.api.keras.models import Sequential
  from zoo.pipeline.api.keras.layers import TimeDistributed
  from zoo.pipeline.api.keras.objectives import SparseCategoricalCrossEntropy
label_desc: Use image node_id 8 for calling the TestTextSet obj's underlying member method code with example usage: obj.test_read_distributed() without return types