code: def TestOneInput(input_bytes):
      """Test randomized integer/float fuzzing input for tf.raw_ops.RaggedCountSparseOutput."""
      fh = FuzzingHelper(input_bytes)
  
      splits = fh.get_int_list()
      values = fh.get_int_or_float_list()
      weights = fh.get_int_list()
      try:
          (
              _,
              _,
              _,
          ) = tf.raw_ops.RaggedCountSparseOutput(
              splits=splits,
              values=values,
              weights=weights,
              binary_output=False,
          )
      except tf.errors.InvalidArgumentError:
          pass
  
label_desc: Use image node_id 1 for calling a global function with example usage: TestOneInput(input_bytes) without return types