code: def testFromTensorSlicesDataset(self):
      dss = [dataset_ops.Dataset.range(10) for _ in range(10)]
      ds = dataset_ops.Dataset.from_tensor_slices(dss)
      ds = ds.flat_map(lambda x: x)
      self.assertDatasetProduces(
          ds, expected_output=list(range(10)) * 10
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the FromTensorSlicesTest obj's underlying member method code with example usage: obj.testFromTensorSlicesDataset() without return types