code: def test_integer_div(self):
      x = jnp.array([-4, -3, -1, 0, 1, 3, 6])
      y = np.int32(3)
      self.ConvertAndCompare(jnp.floor_divide, x, y)
      expected = jnp.floor_divide(x, y)
      if not config.jax2tf_default_native_serialization.value:
          # With native serialization TF1 seems to want to run the converted code
          # on the CPU even when the default backend is the TPU.
          # Try it with TF 1 as well (#5831)
          with tf.compat.v1.Session() as sess:
              tf1_res = sess.run(jax2tf.convert(jnp.floor_divide)(x, y))
              self.assertAllClose(expected, tf1_res)
  
imports: import datetime
  import os
  from typing import Any
  import unittest
  from absl import logging
  from absl.testing import absltest
  from absl.testing import parameterized
  import jax
  from jax import dtypes
  from jax import numpy
  from jax._src import config
  from jax._src import test_util
  from jax.experimental import jax2tf
  from jax.interpreters import mlir
  from jax._src.interpreters import xla
  import numpy
  import tensorflow
  from jax.experimental.jax2tf.tests import tf_test_util
  from jax.experimental.jax2tf.tests.jax2tf_limitations import Jax2TfLimitation
  from jax._src.internal_test_util import test_harnesses
label_desc: Use image node_id 5 for calling the JaxPrimitiveTest obj's underlying member method code with example usage: obj.test_integer_div() without return types