code: def test_dropout_jax_jit_stateless(self):
      import jax
      import jax.numpy as jnp
  
      x = ops.ones(3)
  
      @jax.jit
      def train_step(x):
          with keras.backend.StatelessScope():
              x = keras.layers.Dropout(rate=0.1)(x, training=True)
          return x
  
      x = train_step(x)
      self.assertIsInstance(x, jnp.ndarray)
  
imports: import numpy
  import pytest
  from absl.testing import parameterized
  import keras
  from keras import backend
  from keras import ops
  from keras import testing
  from keras.random import random
  from keras.random import seed_generator
  from keras.utils.rng_utils import set_random_seed
label_desc: Use image node_id 8 for calling the RandomTest obj's underlying member method code with example usage: obj.test_dropout_jax_jit_stateless() and returns: x