update path syntax

Signed-off-by: n3011 <[email protected]>

python/ray/train/_checkpoint.py

@@ -130,7 +130,7 @@ def get_metadata(self) -> Dict[str, Any]:
 
         If no metadata is stored, an empty dict is returned.
         """
-        metadata_path = Path(self.path,  _METADATA_FILE_NAME).as_posix()
+        metadata_path = Path(self.path, _METADATA_FILE_NAME).as_posix()
         if not _exists_at_fs_path(self.filesystem, metadata_path):
             return {}
 
@@ -142,7 +142,7 @@ def set_metadata(self, metadata: Dict[str, Any]) -> None:
 
         This will overwrite any existing metadata stored with this checkpoint.
         """
-        metadata_path = (Path(self.path) / _METADATA_FILE_NAME).as_posix()
+        metadata_path = Path(self.path, _METADATA_FILE_NAME).as_posix()
         with self.filesystem.open_output_stream(metadata_path) as f:
             f.write(json.dumps(metadata).encode("utf-8"))
 

python/ray/train/_internal/storage.py

@@ -490,17 +490,17 @@ def _create_validation_file(self):
         storage path to verify that the storage path can be written to.
         This validation file is also used to check whether the storage path is
         accessible by all nodes in the cluster."""
-        valid_file = (
-            Path(self.experiment_fs_path) / _VALIDATE_STORAGE_MARKER_FILENAME
+        valid_file = Path(
+            self.experiment_fs_path, _VALIDATE_STORAGE_MARKER_FILENAME
         ).as_posix()
         self.storage_filesystem.create_dir(self.experiment_fs_path)
         with self.storage_filesystem.open_output_stream(valid_file):
             pass
 
     def _check_validation_file(self):
         """Checks that the validation file exists at the storage path."""
-        valid_file = (
-            Path(self.experiment_fs_path) / _VALIDATE_STORAGE_MARKER_FILENAME
+        valid_file = Path(
+            self.experiment_fs_path, _VALIDATE_STORAGE_MARKER_FILENAME
         ).as_posix()
         if not _exists_at_fs_path(fs=self.storage_filesystem, fs_path=valid_file):
             raise RuntimeError(

python/ray/tune/impl/tuner_internal.py

@@ -325,7 +325,7 @@ def _restore_from_path_or_uri(
         storage_filesystem: Optional[pyarrow.fs.FileSystem],
     ):
         fs, fs_path = get_fs_and_path(path_or_uri, storage_filesystem)
-        with fs.open_input_file((Path(fs_path) / _TUNER_PKL).as_posix()) as f:
+        with fs.open_input_file(Path(fs_path, _TUNER_PKL).as_posix()) as f:
             tuner_state = pickle.loads(f.readall())
 
         old_trainable_name, flattened_param_space_keys = self._load_tuner_state(

python/ray/tune/tuner.py

@@ -328,7 +328,7 @@ def train_fn(config):
             bool: True if this path exists and contains the Tuner state to resume from
         """
         fs, fs_path = get_fs_and_path(path, storage_filesystem)
-        return _exists_at_fs_path(fs, (Path(fs_path) / _TUNER_PKL).as_posix())
+        return _exists_at_fs_path(fs, Path(fs_path, _TUNER_PKL).as_posix())
 
     def _prepare_remote_tuner_for_jupyter_progress_reporting(self):
         run_config: RunConfig = ray.get(self._remote_tuner.get_run_config.remote())