code: def test_negative_numbers(self):
      expected = [[-1531, -1597, -1349], [-1199, -1157, -1194]]
      minval = tf.constant(-2000, dtype=tf.int64)
      maxval = tf.constant(-1000, dtype=tf.int64)
  
      output = seeded_random_uniform(
          [2, 3], [1, 1, 1, 1, 1, 1, 1, 2], minval, maxval
      )
  
      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 5 for calling the TestSeededRandomUniform obj's underlying member method code with example usage: obj.test_negative_numbers() without return types