diff --git a/cv_analysis/utils/test_metrics.py b/cv_analysis/utils/test_metrics.py
index f9aab22..f6d62c2 100644
--- a/cv_analysis/utils/test_metrics.py
+++ b/cv_analysis/utils/test_metrics.py
@@ -8,28 +8,6 @@ from cv_analysis.utils import lift
 from cv_analysis.utils.rectangle import Rectangle
 
 
-def find_max_overlap(box: Rectangle, box_list: Iterable[Rectangle]):
-    best_candidate = max(box_list, key=lambda x: box.iou(x))
-    iou = box.iou(best_candidate)
-    return best_candidate, iou
-
-
-def compute_page_iou(results_boxes: Iterable[Rectangle], ground_truth_boxes: Iterable[Rectangle]):
-    results = list(results_boxes)
-    truth = list(ground_truth_boxes)
-    if (not results) or (not truth):
-        return 0
-    iou_sum = 0
-    denominator = max(len(results), len(truth))
-    while results and truth:
-        gt_box = truth.pop()
-        best_match, best_iou = find_max_overlap(gt_box, results)
-        results.remove(best_match)
-        iou_sum += best_iou
-    score = iou_sum / denominator
-    return score
-
-
 def compute_document_score(result_dict, ground_truth_dicts):
 
     extract_cells = lambda dicts: lpluck("cells", dicts["pages"])
@@ -55,3 +33,25 @@ def rectangle_from_dict(d):
     x2 = x1 + w
     y2 = y1 + h
     return Rectangle(x1, y1, x2, y2)
+
+
+def compute_page_iou(results_boxes: Iterable[Rectangle], ground_truth_boxes: Iterable[Rectangle]):
+    results = list(results_boxes)
+    truth = list(ground_truth_boxes)
+    if (not results) or (not truth):
+        return 0
+    iou_sum = 0
+    denominator = max(len(results), len(truth))
+    while results and truth:
+        gt_box = truth.pop()
+        best_match, best_iou = find_max_overlap(gt_box, results)
+        results.remove(best_match)
+        iou_sum += best_iou
+    score = iou_sum / denominator
+    return score
+
+
+def find_max_overlap(box: Rectangle, box_list: Iterable[Rectangle]):
+    best_candidate = max(box_list, key=lambda x: box.iou(x))
+    iou = box.iou(best_candidate)
+    return best_candidate, iou