code: def test_int32_return(self):
      expected = [[749, 945, 451], [537, 795, 111]]
  
      output = seeded_random_uniform(
          [2, 3], [1, 1, 1, 1, 1, 1, 1, 2], 0, 1000
      )
  
      np.testing.assert_array_equal(output, expected)
  
imports: import os
  import unittest
  import numpy
  import tensorflow
  from tensorflow.python.framework import errors
  from tensorflow.python.framework.errors import NotFoundError
  import tf_encrypted
label_desc: Use image node_id 1 for calling the TestSeededRandomUniform obj's underlying member method code with example usage: obj.test_int32_return() without return types