code: def test_result_grid_repr(tmp_path):
      class MockExperimentAnalysis:
          trials = []
  
      result_grid = ResultGrid(
          experiment_analysis=MockExperimentAnalysis()
      )
  
      result_grid._results = [
          Result(
              metrics={"loss": 1.0},
              checkpoint=Checkpoint("/tmp/ckpt1"),
              path="log_1",
              error=None,
              metrics_dataframe=None,
          ),
          Result(
              metrics={"loss": 2.0},
              checkpoint=Checkpoint("/tmp/ckpt2"),
              path="log_2",
              error=RuntimeError(),
              metrics_dataframe=None,
              best_checkpoints=None,
          ),
      ]
  
      from ray.tune.result import AUTO_RESULT_KEYS
  
      assert len(result_grid) == 2
      assert not any(
          key in repr(result_grid) for key in AUTO_RESULT_KEYS
      )
  
      expected_repr = """ResultGrid<[
    Result(
      metrics={'loss': 1.0},
      path='log_1',
      filesystem='local',
      checkpoint=Checkpoint(filesystem=local, path=/tmp/ckpt1)
    ),
    Result(
      error='RuntimeError',
      metrics={'loss': 2.0},
      path='log_2',
      filesystem='local',
      checkpoint=Checkpoint(filesystem=local, path=/tmp/ckpt2)
    )
  ]>"""
  
      assert repr(result_grid) == expected_repr
  
file_path: ray/python/ray/tune/tests/test_result_grid.py
imports: import pytest
  import ray
  from ray import train, tune
  from ray.train import Checkpoint, Result
  from ray.tune.result_grid import ResultGrid
  from ray.train.tests.util import create_dict_checkpoint, load_dict_checkpoint
label_desc: Use image node_id 6 for calling a global function with example usage: test_result_grid_repr(tmp_path) without return types