code: def test_constant_allowed_promotion(self, input_dtype, dtype_arg):
      input_list = _get_test_input_for_op(5, input_dtype)
      for test_input in input_list:
          res = constant_op.constant(test_input, dtype_arg)
          self.assertIsInstance(res, tensor.Tensor)
          self.assertEqual(res.dtype, dtype_arg)
  
imports: from absl.testing import parameterized
  import numpy
  from google.protobuf import text_format
  from tensorflow.core.framework import graph_pb2
  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 flexible_dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the WeakTensorConstantOpTest obj's underlying member method code with example usage: obj.test_constant_allowed_promotion(input_dtype, dtype_arg) without return types