code: def testAgainstNumpy(self):
      # For 1 to 5 dimensions.
      for i in range(1, 6):
          a = np.random.random(np.random.permutation(i) + 1)
  
          # For all the possible axis to split it, including negative indices.
          for j in range(-i, i):
              expected = np_split_squeeze(a, j)
  
              actual_unstack = self.evaluate(
                  array_ops_stack.unstack(a, axis=j)
              )
  
              self.assertAllEqual(expected, actual_unstack)
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the UnstackOpTest obj's underlying member method code with example usage: obj.testAgainstNumpy() without return types