code: def testJit(self):
      def f(a, b):
          return tf_np.sum(tf_np.sqrt(tf_np.exp(a)) + b)
  
      f_jitted = extensions.jit(f)
      shape = [10]
      a = tf_np.random.randn(*shape)
      b = tf_np.random.randn(*shape)
      self.assertAllClose(f(a, b), f_jitted(a, b))
      # Call again since the code path is different on second call
      self.assertAllClose(f(a, b), f_jitted(a, b))
  
imports: import functools
  import itertools
  from absl import flags
  from absl.testing import parameterized
  from jax import lax
  import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy import extensions
  import trax.tf_numpy.numpy
label_desc: Use image node_id 9 for calling the ExtensionsTest obj's underlying member method code with example usage: obj.testJit() and returns: tf_np