code: def testDatasetInputs(self, map_fn):
      dss = [
          dataset_ops.Dataset.range(10).map(map_fn) for _ in range(10)
      ]
      ds = dataset_ops.Dataset.from_tensor_slices(dss)
      ds = ds.flat_map(lambda x: x)
      self.assertDatasetProduces(
          ds, expected_output=[map_fn(x) for x in list(range(10)) * 10]
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import from_list
  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 tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the FromListTest obj's underlying member method code with example usage: obj.testDatasetInputs(map_fn) without return types