code: def testScalars(self):
      arr = ops.convert_to_tensor([0.2, 0.3])
      outs = []
      for i in range(arr.shape[0]):
          outs.append(arr[i] ** 2)
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          _ = array_ops.concat(outs, axis=0)
  
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 12 for calling the ConcatOpTest obj's underlying member method code with example usage: obj.testScalars() without return types