code: def test_singly_padded_ngrams(self):
      data = [[b"a"], [b"b", b"c", b"d"], [b"e", b"f"]]
      data_tensor = ragged_factory_ops.constant(data)
      ngram_op = ragged_string_ops.ngrams(
          data_tensor,
          ngram_width=5,
          separator=b"|",
          pad_values=(b"LP", b"RP"),
          padding_width=1,
      )
      result = self.evaluate(ngram_op)
      expected_ngrams = [[], [b"LP|b|c|d|RP"], []]
      self.assertAllEqual(expected_ngrams, result)
  
imports: from absl.testing import parameterized
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_string_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the StringNgramsTest obj's underlying member method code with example usage: obj.test_singly_padded_ngrams() without return types