style: reformat ruff with new style

src/ml_project/__init__.py

@@ -222,9 +222,9 @@ def setup_logging(
         file_levels: List of logging levels for each output file. Only applies if log_dir is not None.
         log_init_messages: Whether to log the initialisation messages.
     """
-    assert len(output_files) == len(
-        file_levels
-    ), "output_files and file_levels must have the same length"
+    assert len(output_files) == len(file_levels), (
+        "output_files and file_levels must have the same length"
+    )
 
     if log_dir is None:
         output_files = []

src/ml_project/cli/main.py

@@ -131,7 +131,7 @@ def config(config_dir: Path | None = None):
     rich.print()
     rich.print("Type in the values for the following variables:")
     for i, (key, value) in enumerate(template_envs.items()):
-        choice = Prompt.ask(f"{i+1}/{len(template_envs)}. {key}", default=value)
+        choice = Prompt.ask(f"{i + 1}/{len(template_envs)}. {key}", default=value)
         if choice is None:
             set_key(dotenv_file, key, "", quote_mode="auto")
         else:

src/ml_project/utils/config.py

@@ -58,9 +58,9 @@ def _set_value_as_type(self, key, value: str, vartype):
         """Set the string value as the given type."""
         if get_origin(vartype) is list:
             setattr(self, key, ast.literal_eval(value))
-            assert isinstance(
-                getattr(self, key), vartype
-            ), f"{type(self).__name__}.{key} has to be {vartype} but got {type(getattr(self, key))}"
+            assert isinstance(getattr(self, key), vartype), (
+                f"{type(self).__name__}.{key} has to be {vartype} but got {type(getattr(self, key))}"
+            )
         elif vartype is bool:
             if value == "True":
                 setattr(self, key, True)