fix: fix pep8 issues

Author: raphael0202

openfoodfacts/api.py

@@ -586,7 +586,7 @@ def __init__(
 
         if isinstance(version, APIVersion):
             version = version.value
-        
+
         self.api_config = APIConfig(
             user_agent=user_agent,
             country=country,

openfoodfacts/ml/object_detection.py

@@ -166,12 +166,12 @@ def apply_nms(
 
     We use `NMSBoxes` from the openCV library to perform NMS.
 
-    :param bboxes: The bounding boxes in format [y_min, x_min, y_max, x_max], in relative
-        coordinates. Shape: (N, 4)
+    :param bboxes: The bounding boxes in format [y_min, x_min, y_max, x_max],
+        in relative coordinates. Shape: (N, 4)
     :param scores: The confidence scores. Shape: (N,)
     :param classes: The class labels, as an int array. Shape: (N,)
-    :param threshold: The confidence threshold to use to filter out the bounding boxes.
-        Shape: (N,)
+    :param threshold: The confidence threshold to use to filter out the
+        bounding boxes. Shape: (N,)
     :param nms_threshold: The NMS threshold to use.
     :param nms_eta: The NMS eta to use.
     :return: bounding boxes, scores, classes after NMS

tests/ml/test_object_detection.py

@@ -296,7 +296,8 @@ def test_nms_keeps_highest_score_in_cluster(self):
         assert result_classes[0] == 0
 
     def test_bbbox_format_conversion(self):
-        """Test that bbox format conversion is correct (y_min,x_min,y_max,x_max) -> (x,y,w,h)."""
+        """Test that bbox format conversion is correct
+        (y_min,x_min,y_max,x_max) -> (x,y,w,h)."""
         # This test verifies the internal conversion in apply_nms
         bboxes = np.array([[0.0, 0.0, 1.0, 1.0]], dtype=np.float32)  # Full image
         scores = np.array([1.0], dtype=np.float32)