From 8816d8d82e2dcd02c3fd30957ae76ea453ae3e04 Mon Sep 17 00:00:00 2001
From: Eric Kerfoot <17726042+ericspod@users.noreply.github.com>
Date: Sun, 22 Feb 2026 12:18:49 +0000
Subject: [PATCH] Fixing SSIM Test Method Names

Signed-off-by: Eric Kerfoot <17726042+ericspod@users.noreply.github.com>
---
 tests/metrics/test_compute_multiscalessim_metric.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/tests/metrics/test_compute_multiscalessim_metric.py b/tests/metrics/test_compute_multiscalessim_metric.py
index d85e6f7bf6..4438fdfa72 100644
--- a/tests/metrics/test_compute_multiscalessim_metric.py
+++ b/tests/metrics/test_compute_multiscalessim_metric.py
@@ -21,7 +21,7 @@
 
 class TestMultiScaleSSIMMetric(unittest.TestCase):
 
-    def test2d_gaussian(self):
+    def test_2d_gaussian(self):
         set_determinism(0)
         preds = torch.abs(torch.randn(1, 1, 64, 64))
         target = torch.abs(torch.randn(1, 1, 64, 64))
@@ -34,7 +34,7 @@ def test2d_gaussian(self):
         expected_value = 0.023176
         self.assertAlmostEqual(expected_value, result.item(), 4)
 
-    def test2d_uniform(self):
+    def test_2d_uniform(self):
         set_determinism(0)
         preds = torch.abs(torch.randn(1, 1, 64, 64))
         target = torch.abs(torch.randn(1, 1, 64, 64))
@@ -47,7 +47,7 @@ def test2d_uniform(self):
         expected_value = 0.022655
         self.assertAlmostEqual(expected_value, result.item(), 4)
 
-    def test3d_gaussian(self):
+    def test_3d_gaussian(self):
         set_determinism(0)
         preds = torch.abs(torch.randn(1, 1, 64, 64, 64))
         target = torch.abs(torch.randn(1, 1, 64, 64, 64))
@@ -60,19 +60,19 @@ def test3d_gaussian(self):
         expected_value = 0.061796
         self.assertAlmostEqual(expected_value, result.item(), 4)
 
-    def input_ill_input_shape2d(self):
+    def test_input_ill_input_shape2d(self):
         metric = MultiScaleSSIMMetric(spatial_dims=3, weights=[0.5, 0.5])
 
         with self.assertRaises(ValueError):
             metric(torch.randn(1, 1, 64, 64), torch.randn(1, 1, 64, 64))
 
-    def input_ill_input_shape3d(self):
+    def test_input_ill_input_shape3d(self):
         metric = MultiScaleSSIMMetric(spatial_dims=2, weights=[0.5, 0.5])
 
         with self.assertRaises(ValueError):
             metric(torch.randn(1, 1, 64, 64, 64), torch.randn(1, 1, 64, 64, 64))
 
-    def small_inputs(self):
+    def test_small_inputs(self):
         metric = MultiScaleSSIMMetric(spatial_dims=2)
 
         with self.assertRaises(ValueError):