code: def test_seed(self):
      s = seed()
  
      minval = tf.constant(-2000, dtype=tf.int64)
      maxval = tf.constant(0, dtype=tf.int64)
  
      shape = [2, 3]
  
      output = seeded_random_uniform(shape, s, minval, maxval)
  
      np.testing.assert_array_equal(output.shape, shape)
  
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 TestSeed obj's underlying member method code with example usage: obj.test_seed() without return types