code: def test_no_targets(self):
      data = np.arange(50)
      dataset = timeseries_dataset_utils.timeseries_dataset_from_array(
          data, None, sequence_length=10, batch_size=5
      )
      # Expect 9 batches
      i = None
      for i, batch in enumerate(dataset):
          if i < 8:
              self.assertEqual(batch.shape, (5, 10))
          elif i == 8:
              self.assertEqual(batch.shape, (1, 10))
          for j in range(min(5, len(batch))):
              # Check each sample in the batch
              self.assertAllClose(
                  batch[j], np.arange(i * 5 + j, i * 5 + j + 10)
              )
      self.assertEqual(i, 8)
  
file_path: keras/keras/utils/timeseries_dataset_utils_test.py
imports: import numpy
  from keras import testing
  from keras.utils import timeseries_dataset_utils
label_desc: Use image node_id 3 for calling the TimeseriesDatasetTest obj's underlying member method code with example usage: obj.test_no_targets() without return types