code: def test_int(self):
      self.assertFeature(
          feature=feature_lib.Sequence(np.int32, length=3),
          shape=(3,),
          dtype=np.int32,
          tests=[
              # Python array
              testing.FeatureExpectationItem(
                  value=[1, 2, 3],
                  expected=[1, 2, 3],
                  expected_np=[1, 2, 3],
              ),
              # Numpy array
              testing.FeatureExpectationItem(
                  value=np.ones(shape=(3,), dtype=np.int32),
                  expected=[1, 1, 1],
                  expected_np=[1, 1, 1],
              ),
              # Wrong sequence length
              testing.FeatureExpectationItem(
                  value=np.ones(shape=(4,), dtype=np.int32),
                  raise_cls=ValueError,
                  raise_cls_np=ValueError,
                  raise_msg="Input sequence length do not match",
              ),
          ],
      )
  
imports: import numpy
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import features
label_desc: Use image node_id 1 for calling the SequenceFeatureTest obj's underlying member method code with example usage: obj.test_int() without return types