From 2907c40ecce4a5d9e8e957da08fc636c2d6af804 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 17 Jul 2025 07:59:58 +0000
Subject: [PATCH] =?UTF-8?q?fix(pre=5Fcommit):=20=F0=9F=8E=A8=20auto=20form?=
 =?UTF-8?q?at=20pre-commit=20hooks?=
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---
 test/metrics/test_mean_average_precision.py | 31 ++++++++++-----------
 1 file changed, 15 insertions(+), 16 deletions(-)

diff --git a/test/metrics/test_mean_average_precision.py b/test/metrics/test_mean_average_precision.py
index b3b68249..bb0f91ef 100644
--- a/test/metrics/test_mean_average_precision.py
+++ b/test/metrics/test_mean_average_precision.py
@@ -1,8 +1,8 @@
 """
 Tests for Mean Average Precision ID=0 bug fix
 """
+
 import numpy as np
-import pytest
 
 from supervision.detection.core import Detections
 from supervision.metrics.mean_average_precision import MeanAveragePrecision
@@ -14,13 +14,13 @@ def test_single_perfect_detection():
     detection = Detections(
         xyxy=np.array([[10, 10, 50, 50]], dtype=np.float64),
         class_id=np.array([0]),
-        confidence=np.array([0.9])
+        confidence=np.array([0.9]),
     )
-    
+
     metric = MeanAveragePrecision()
     metric.update([detection], [detection])
     result = metric.compute()
-    
+
     # Should be perfect 1.0 mAP, not 0.0 due to ID=0 bug
     assert abs(result.map50_95 - 1.0) < 1e-6
 
@@ -29,19 +29,18 @@ def test_multiple_perfect_detections():
     """Test that multiple perfect detections get 1.0 mAP"""
     # Multiple perfect detections in one image
     detections = Detections(
-        xyxy=np.array([
-            [10, 10, 50, 50],
-            [100, 100, 140, 140],
-            [200, 200, 240, 240]
-        ], dtype=np.float64),
+        xyxy=np.array(
+            [[10, 10, 50, 50], [100, 100, 140, 140], [200, 200, 240, 240]],
+            dtype=np.float64,
+        ),
         class_id=np.array([0, 0, 0]),
-        confidence=np.array([0.9, 0.9, 0.9])
+        confidence=np.array([0.9, 0.9, 0.9]),
     )
-    
+
     metric = MeanAveragePrecision()
     metric.update([detections], [detections])
     result = metric.compute()
-    
+
     # Should be perfect 1.0 mAP
     assert abs(result.map50_95 - 1.0) < 1e-6
 
@@ -52,15 +51,15 @@ def test_batch_updates_perfect_detections():
     detection = Detections(
         xyxy=np.array([[10, 10, 50, 50]], dtype=np.float64),
         class_id=np.array([0]),
-        confidence=np.array([0.9])
+        confidence=np.array([0.9]),
     )
-    
+
     metric = MeanAveragePrecision()
     # Add 3 batch updates
     metric.update([detection], [detection])
     metric.update([detection], [detection])
     metric.update([detection], [detection])
     result = metric.compute()
-    
+
     # Should be perfect 1.0 mAP across all batches
-    assert abs(result.map50_95 - 1.0) < 1e-6 
\ No newline at end of file
+    assert abs(result.map50_95 - 1.0) < 1e-6