class_docstr: ArrowDatasetTest
class_docstr_tok: ["ArrowDatasetTest"]
docstr: Test that a column with incorrect dtype raises error
code: def test_incorrect_column_type(self):
      """Test that a column with incorrect dtype raises error"""
      import tensorflow_io.arrow as arrow_io
  
      truth_data = TruthData(
          self.scalar_data, self.scalar_dtypes, self.scalar_shapes
      )
      batch = self.make_record_batch(truth_data)
  
      dataset = arrow_io.ArrowDataset.from_record_batches(
          batch,
          tuple(tf.dtypes.int32 for _ in truth_data.output_types),
          truth_data.output_shapes,
      )
      with self.assertRaisesRegex(
          tf.errors.OpError, "Arrow type mismatch"
      ):
          self.run_test_case(dataset, truth_data)
  
imports: from collections import namedtuple
  import io
  import os
  import socket
  import tempfile
  import threading
  import pytest
  import pyarrow
  import numpy.testing
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 16 for calling the ArrowDatasetTest obj's underlying member method code with example usage: obj.test_incorrect_column_type() without return types