Update ruff pre commit hook and add formatter

.pre-commit-config.yaml

 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.0.282
+    rev: v0.1.6
     hooks:
+      # Run the linter.
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
-  - repo: https://github.com/ambv/black
-    rev: 23.7.0
-    hooks:
-    - id: black
+      # Run the formatter.
+      - id: ruff-format
   - repo: https://github.com/pre-commit/pre-commit-hooks
     rev: v4.4.0
     hooks:

dan/ocr/manager/metrics.py

@@ -106,7 +106,14 @@ class MetricManager:
                         display_values["sample_time"] = float(round(sample_time, 4))
                     display_values[metric_name] = value
                     continue
-                case "cer" | "cer_no_token" | "wer" | "wer_no_punct" | "wer_no_token" | "ner":
+                case (
+                    "cer"
+                    | "cer_no_token"
+                    | "wer"
+                    | "wer_no_punct"
+                    | "wer_no_token"
+                    | "ner"
+                ):
                     keyword = METRICS_KEYWORD[metric_name[:3]]
                     suffix = metric_name[3:]
                     num_name, denom_name = (
@@ -150,7 +157,14 @@ class MetricManager:
         gt, prediction = values["str_y"], values["str_x"]
         for metric_name in metric_names:
             match metric_name:
-                case "cer" | "cer_no_token" | "wer" | "wer_no_punct" | "wer_no_token" | "ner":
+                case (
+                    "cer"
+                    | "cer_no_token"
+                    | "wer"
+                    | "wer_no_punct"
+                    | "wer_no_token"
+                    | "ner"
+                ):
                     task = metric_name[:3]
                     keyword = METRICS_KEYWORD[task]
                     suffix = metric_name[3:]

dan/ocr/mlflow.py

@@ -144,7 +144,8 @@ def start_mlflow_run(config: dict):
     assert experiment_id, "Missing MLflow experiment ID in the configuration"
 
     # Start run
-    yield mlflow.start_run(
-        run_id=run_id, run_name=run_name, experiment_id=experiment_id
-    ), run_id is None
+    yield (
+        mlflow.start_run(run_id=run_id, run_name=run_name, experiment_id=experiment_id),
+        run_id is None,
+    )
     mlflow.end_run()