code: def testComplex(self):
      np.random.seed(7)
      with self.session():
          for shape in (2,), (3,), (2, 3), (3, 2), (8, 2, 10):
              for dtype in [np.complex64, np.complex128]:
                  with self.subTest(shape=shape, dtype=dtype):
                      data = self.randn(shape, dtype)
                      xs = list(map(constant_op.constant, data))
                      c = array_ops_stack.stack(xs)
                      self.assertAllEqual(self.evaluate(c), data)
  
imports: import numpy
  from tensorflow.python import tf2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 gen_array_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 18 for calling the StackOpTest obj's underlying member method code with example usage: obj.testComplex() without return types