added ruff code reivew

tests/DIS_no_integrate.py

@@ -22,7 +22,6 @@ import os
 import sys
 from dataclasses import dataclass, field
 from pathlib import Path
-from typing import Optional
 
 import cv2
 import numpy as np
@@ -35,7 +34,6 @@ for path in (REPO_ROOT, SRC_ROOT):
 
 from orisys.tracker import Tracker  # noqa: E402
 
-
 DEFAULT_CONFIG = "box"
 
 
@@ -125,7 +123,7 @@ class FixedRefDIS:
         preset = dis_preset_from_name(config_tracker.get("dis_preset", "medium"))
         self._dis = cv2.DISOpticalFlow_create(preset)
         self._dis.setFinestScale(int(config_tracker.get("dis_mode", 3)))
-        self._ref: Optional[np.ndarray] = None
+        self._ref: np.ndarray | None = None
 
     def reset(self) -> None:
         self._ref = None
@@ -148,7 +146,7 @@ def make_tracker(config_tracker: dict, *, adaptive: bool) -> Tracker:
     )
 
 
-def read_gray_frame(cap: cv2.VideoCapture, static_image: Optional[np.ndarray]) -> tuple[bool, Optional[np.ndarray]]:
+def read_gray_frame(cap: cv2.VideoCapture, static_image: np.ndarray | None) -> tuple[bool, np.ndarray | None]:
     if static_image is not None:
         return True, static_image.copy()
     ok, frame = cap.read()
@@ -164,11 +162,11 @@ def run_comparison(
     *,
     config_tracker: dict,
     max_frames: int,
-    reset_every: Optional[int],
+    reset_every: int | None,
     show: bool,
 ) -> dict[str, ModeSeries]:
     path = Path(str(source)) if isinstance(source, str) else None
-    static_image: Optional[np.ndarray] = None
+    static_image: np.ndarray | None = None
     if isinstance(source, str) and path is not None and path.is_file():
         img = cv2.imread(str(path), cv2.IMREAD_GRAYSCALE)
         if img is not None: