code: def test_setup_parameter_updates(self):
      w1 = tf.Variable(np.ones((4, 3)))
      b1 = tf.Variable(np.zeros((3,)))
      w2 = tf.Variable(np.ones((3, 2)))
  
      tf_utils.initialize_uninitialized_variables([w1, b1, w2])
  
      updates = 2 * tf_utils.make_single_vector([w1, b1, w2]) + 1
      updates = tf_utils.setup_parameter_updates([w1, b1, w2], updates)
  
      sess = tf_utils.tensorflow_session()
      for parameter, new_value in updates:
          sess.run(parameter.assign(new_value))
  
      np.testing.assert_array_almost_equal(
          self.eval(w1),
          3 * np.ones((4, 3)),
      )
      np.testing.assert_array_almost_equal(
          self.eval(b1),
          np.ones(3),
      )
      np.testing.assert_array_almost_equal(
          self.eval(w2),
          3 * np.ones((3, 2)),
      )
  
imports: import pytest
  import numpy
  import tensorflow
  from tensorflow.errors import FailedPreconditionError
  from neupy import init
  from neupy.utils import tf_utils, asfloat
  from base import BaseTestCase
label_desc: Use image node_id 5 for calling the TFUtilsTestCase obj's underlying member method code with example usage: obj.test_setup_parameter_updates() without return types