fix tests

Signed-off-by: xwjiang2010 <xwjiang2010@gmail.com>

python/ray/train/examples/mlflow_simple_example.py

@@ -41,7 +41,7 @@ def train_func():
 
 # Print the latest run directory and keep note of it.
 # For example: /home/ubuntu/ray_results/TorchTrainer_2022-06-13_20-31-06
-print("Run directory:", result.log_dir.parent)  # TensorBoard is saved in parent dir
+print("Run directory:", result.path.parent)  # TensorBoard is saved in parent dir
 
 # How to visualize the logs
 

python/ray/train/tests/test_lightning_trainer_restore.py

@@ -1,4 +1,5 @@
 import numpy as np
+from pathlib import Path
 import pytest
 import pytorch_lightning as pl
 from pytorch_lightning.callbacks import ModelCheckpoint
@@ -166,7 +167,7 @@ def test_air_trainer_restore(ray_start_6_cpus, tmpdir, resume_from_ckpt_path):
     assert not result.error
     assert result.metrics["training_iteration"] == training_iterations
     assert result.metrics["iterations_since_restore"] == iterations_since_restore
-    assert tmpdir / exp_name in result.path.parents
+    assert tmpdir / exp_name in Path(result.path).parents
 
 
 if __name__ == "__main__":

python/ray/tune/tests/test_tuner.py

@@ -423,7 +423,7 @@ def train_func(config):
     results = tuner.fit()
     assert not results.errors
     for result in results:
-        artifact_data = open(result.path / "write.txt", "r").read()
+        artifact_data = open(os.path.join(result.path, "write.txt"), "r").read()
         assert artifact_data == f"{result.config['id']}"
 
 
@@ -467,7 +467,7 @@ def train_func(config):
     results = tuner.fit()
     assert not results.errors
     for result in results:
-        artifact_data = open(result.path / "write.txt", "r").read()
+        artifact_data = open(os.path.join(result.path, "write.txt"), "r").read()
         assert artifact_data == f"{result.config['id']}"