code: def test_orc_input():
      """test_pcap_input"""
      print("Testing ORCDataset")
      orc_filename = os.path.join(
          os.path.dirname(os.path.abspath(__file__)),
          "test_orc",
          "iris.orc",
      )
  
      dataset = tfio.IODataset.from_orc(
          orc_filename, capacity=15
      ).batch(1)
      packets_total = 0
      for v in dataset:
          if packets_total == 0:
              sepal_length, _, _, _, species = v
              assert sepal_length.dtype == tf.float32
              assert species.dtype == tf.string
              assert tf.math.less(
                  tf.math.abs(sepal_length - 5.0999999), 0.0001
              )
              assert tf.math.equal(species, "setosa")
          packets_total += 1
  
      assert packets_total == 150
  
imports: import os
  import numpy
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 1 for calling a global function with example usage: test_orc_input() without return types