code: def test_truncated_normal(self, seed, shape, mean, stddev):
      np.random.seed(seed)
      np_res = np.random.normal(loc=mean, scale=stddev, size=shape)
      res = random.truncated_normal(
          shape, mean=mean, stddev=stddev, seed=seed
      )
      self.assertEqual(res.shape, tuple(shape))
      self.assertEqual(res.shape, np_res.shape)
      self.assertLessEqual(ops.max(res), mean + 2 * stddev)
      self.assertGreaterEqual(ops.max(res), mean - 2 * stddev)
  
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 6 for calling the RandomTest obj's underlying member method code with example usage: obj.test_truncated_normal(seed, shape, mean, stddev) without return types