code: def test_make_single_vector(self):
      w1 = tf.Variable(np.ones((4, 3)))
      b1 = tf.Variable(np.zeros((3,)))
      w2 = tf.Variable(np.ones((3, 2)))
  
      actual = self.eval(tf_utils.make_single_vector([w1, b1, w2]))
      expected = np.array([1] * 12 + [0] * 3 + [1] * 6)
  
      np.testing.assert_array_equal(actual, expected)
  
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 4 for calling the TFUtilsTestCase obj's underlying member method code with example usage: obj.test_make_single_vector() without return types