code: def testConcatTuple(self):
      c1 = np.random.rand(4, 4)
      c2 = np.random.rand(4, 4)
      concat_list_t = array_ops.concat([c1, c2], 0)
      concat_tuple_t = array_ops.concat((c1, c2), 0)
      self.assertAllEqual(
          self.evaluate(concat_list_t), self.evaluate(concat_tuple_t)
      )
  
imports: import numpy
  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_impl
  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 gen_array_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 29 for calling the ConcatOpTest obj's underlying member method code with example usage: obj.testConcatTuple() without return types