diff --git a/tests/pytest/compare_results.py b/tests/pytest/compare_results.py
index 84e9efe8..7f5b6b2b 100644
--- a/tests/pytest/compare_results.py
+++ b/tests/pytest/compare_results.py
@@ -73,6 +73,13 @@ for bad1,bad2, f1, f2 in zip(data['badness'], data2['badness'], data['file'], da
     if bad2>0 and bad2<0.9*bad1:
         print(f"file {f1} got better: {bad1} -> {bad2}")
 
+for bad1,bad2, f1, f2 in zip(data['#trigs'], data2['#trigs'], data['file'], data2['file']):
+    assert f1==f2
+    if bad2>0 and bad2>1.1*bad1:
+        print(f"file {f1} got worse:  {bad1} -> {bad2}")
+    if bad2>0 and bad2<0.9*bad1:
+        print(f"file {f1} got better: {bad1} -> {bad2}")
+
 n = len(data)+1
 fig,ax = plt.subplots(figsize=(10,7))
 for i,d in enumerate(['min trig angle','min tet angle','max trig angle','max tet angle']):
diff --git a/tests/pytest/results.json b/tests/pytest/results.json
index 595c6a87..5f079143 100644
--- a/tests/pytest/results.json
+++ b/tests/pytest/results.json
@@ -1590,8 +1590,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 81,
-            "ne2d": 436,
+            "ne1d": 80,
+            "ne2d": 412,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -1606,7 +1606,7 @@
                 0.0
             ],
             "ne1d": 86,
-            "ne2d": 452,
+            "ne2d": 440,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -1621,7 +1621,7 @@
                 0.0
             ],
             "ne1d": 86,
-            "ne2d": 450,
+            "ne2d": 464,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -1635,8 +1635,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 81,
-            "ne2d": 436,
+            "ne1d": 80,
+            "ne2d": 412,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -1650,8 +1650,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 82,
-            "ne2d": 441,
+            "ne1d": 83,
+            "ne2d": 453,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -1665,8 +1665,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 86,
-            "ne2d": 472,
+            "ne1d": 84,
+            "ne2d": 462,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2790,8 +2790,38 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 31,
-            "ne2d": 97,
+            "ne1d": 27,
+            "ne2d": 87,
+            "ne3d": 0,
+            "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
+            "total_badness": 0.0
+        },
+        {
+            "angles_tet": [
+                0.0,
+                0.0
+            ],
+            "angles_trig": [
+                0.0,
+                0.0
+            ],
+            "ne1d": 28,
+            "ne2d": 80,
+            "ne3d": 0,
+            "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
+            "total_badness": 0.0
+        },
+        {
+            "angles_tet": [
+                0.0,
+                0.0
+            ],
+            "angles_trig": [
+                0.0,
+                0.0
+            ],
+            "ne1d": 26,
+            "ne2d": 78,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2806,7 +2836,7 @@
                 0.0
             ],
             "ne1d": 27,
-            "ne2d": 71,
+            "ne2d": 87,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2820,8 +2850,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 25,
-            "ne2d": 85,
+            "ne1d": 36,
+            "ne2d": 150,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2835,38 +2865,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 31,
-            "ne2d": 97,
-            "ne3d": 0,
-            "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
-            "total_badness": 0.0
-        },
-        {
-            "angles_tet": [
-                0.0,
-                0.0
-            ],
-            "angles_trig": [
-                0.0,
-                0.0
-            ],
-            "ne1d": 41,
-            "ne2d": 173,
-            "ne3d": 0,
-            "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
-            "total_badness": 0.0
-        },
-        {
-            "angles_tet": [
-                0.0,
-                0.0
-            ],
-            "angles_trig": [
-                0.0,
-                0.0
-            ],
-            "ne1d": 30,
-            "ne2d": 108,
+            "ne1d": 42,
+            "ne2d": 246,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2883,7 +2883,7 @@
                 0.0
             ],
             "ne1d": 32,
-            "ne2d": 148,
+            "ne2d": 142,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2913,7 +2913,7 @@
                 0.0
             ],
             "ne1d": 32,
-            "ne2d": 134,
+            "ne2d": 126,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2928,7 +2928,7 @@
                 0.0
             ],
             "ne1d": 32,
-            "ne2d": 148,
+            "ne2d": 142,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2942,8 +2942,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 43,
-            "ne2d": 300,
+            "ne1d": 42,
+            "ne2d": 326,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2957,8 +2957,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 79,
-            "ne2d": 821,
+            "ne1d": 76,
+            "ne2d": 811,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -2975,7 +2975,7 @@
                 0.0
             ],
             "ne1d": 32,
-            "ne2d": 124,
+            "ne2d": 118,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -3005,7 +3005,7 @@
                 0.0
             ],
             "ne1d": 32,
-            "ne2d": 110,
+            "ne2d": 102,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -3020,7 +3020,7 @@
                 0.0
             ],
             "ne1d": 32,
-            "ne2d": 124,
+            "ne2d": 118,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -3034,8 +3034,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 43,
-            "ne2d": 249,
+            "ne1d": 42,
+            "ne2d": 274,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0
@@ -3049,8 +3049,8 @@
                 0.0,
                 0.0
             ],
-            "ne1d": 79,
-            "ne2d": 687,
+            "ne1d": 76,
+            "ne2d": 672,
             "ne3d": 0,
             "quality_histogram": "[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]",
             "total_badness": 0.0