reformat with format script

Author: LukeWood

keras_cv/metrics/coco/base.py

@@ -151,7 +151,9 @@ def update_state(self, y_true, y_pred, sample_weight=None):
                     false_positives = tf.cast(pred_matches == -1, tf.float32)
 
                     true_positives_sum = tf.math.reduce_sum(true_positives, axis=-1)
-                    false_positives_sum = tf.math.reduce_sum(false_positives, axis=-1)
+                    false_positives_sum = tf.math.reduce_sum(
+                        false_positives, axis=-1
+                    )
 
                     true_positives_update = tf.tensor_scatter_nd_add(
                         true_positives_update, [indices], [true_positives_sum]

keras_cv/metrics/coco/recall_test.py

@@ -21,9 +21,8 @@
 
 
 class COCORecallTest(tf.test.TestCase):
-
     def test_runs_inside_model(self):
-        i = keras.layers.Input((None, None, 6)) 
+        i = keras.layers.Input((None, None, 6))
         model = keras.Model(i, i)
 
         recall = COCORecall(
@@ -33,7 +32,9 @@ def test_runs_inside_model(self):
         )
 
         # These would match if they were in the area range
-        y_true = np.array([[[0, 0, 10, 10, 1], [5, 5, 10, 10, 1]]]).astype(np.float32)
+        y_true = np.array([[[0, 0, 10, 10, 1], [5, 5, 10, 10, 1]]]).astype(
+            np.float32
+        )
         y_pred = np.array([[[0, 0, 10, 10, 1, 1.0], [5, 5, 10, 10, 1, 0.9]]]).astype(
             np.float32
         )
@@ -51,7 +52,9 @@ def test_recall_area_range_filtering(self):
         )
 
         # These would match if they were in the area range
-        y_true = np.array([[[0, 0, 10, 10, 1], [5, 5, 10, 10, 1]]]).astype(np.float32)
+        y_true = np.array([[[0, 0, 10, 10, 1], [5, 5, 10, 10, 1]]]).astype(
+            np.float32
+        )
         y_pred = np.array([[[0, 0, 10, 10, 1, 1.0], [5, 5, 10, 10, 1, 0.9]]]).astype(
             np.float32
         )