code: def fixture_arrow_graph():
      """fixture_arrow"""
      import pyarrow as pa  # pylint: disable=import-outside-toplevel
  
      arr1 = pa.array(list(range(100)), pa.int32())
      arr2 = pa.array(list(range(100)), pa.int64())
      arr3 = pa.array([x * 1.1 for x in range(100)], pa.float32())
      table = pa.Table.from_arrays([arr1, arr2, arr3], ["a", "b", "c"])
  
      args = ""
      spec = {"a": tf.int32, "b": tf.int64, "c": tf.float32}
      column = "b"
  
      func = lambda _: tfio.IOTensor.from_arrow(table, spec=spec)(
          column
      )
      expected = table.column(column).to_pylist()
  
      return args, func, expected, np.array_equal
  
imports: import os
  import shutil
  import tempfile
  import numpy
  import pytest
  import tensorflow
  import tensorflow_io
label_desc: Use image node_id 19 for calling a global function with example usage: fixture_arrow_graph() and returns: args,  func,  expected,  np