code: def build_dummy_tuner(configs):
      return Tuner(
          build_dummy_trainer(configs),
          param_space={"train_loop_config": _PARAM_SPACE},
          tune_config=TuneConfig(num_samples=1),
      )
  
file_path: ray/python/ray/train/tests/test_result.py
imports: import pyarrow
  import pytest
  import ray
  from ray import train
  from ray.air._internal.uri_utils import URI
  from ray.air.constants import EXPR_RESULT_FILE
  from ray.train import CheckpointConfig, Result, RunConfig, ScalingConfig
  from ray.train.base_trainer import TrainingFailedError
  from ray.train.tests.util import create_dict_checkpoint, load_dict_checkpoint
  from ray.train.torch import TorchTrainer
  from ray.tune import TuneConfig, Tuner
label_desc: Use image node_id 3 for calling a global function with example usage: build_dummy_tuner(configs) and returns: Tuner