code: def test_min_max_range(self):
      minval = tf.constant(-100000000, dtype=tf.int32)
      maxval = tf.constant(100000000, dtype=tf.int32)
  
      output = seeded_random_uniform(
          [10000], [1, 1, 1, 500, 1, 1, 1, 2], minval, maxval
      )
  
      for out in output:
          assert -100000000 <= out < 100000000
  
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 3 for calling the TestSeededRandomUniform obj's underlying member method code with example usage: obj.test_min_max_range() without return types