following CapWords convention Signed-off-by: FinnBehrendt <finn.behrendt94@gmail.com>

Author: FinnBehrendt

tests/inferers/test_patch_inferer.py

@@ -478,7 +478,7 @@ def test_patch_inferer_errors(self, inputs, arguments, expected_error):
 ]
 
 
-class PatchInfererTests_cond(unittest.TestCase):
+class PatchInfererTestsCond(unittest.TestCase):
     @parameterized.expand(
         [
             TEST_CASE_0_TENSOR_c,

tests/inferers/test_slice_inferer.py

@@ -53,7 +53,7 @@ def test_shape(self, spatial_dim):
         result = inferer(input_volume, model)
 
 
-class TestSliceInferer_cond(unittest.TestCase):
+class TestSliceInfererCond(unittest.TestCase):
 
     @parameterized.expand(TEST_CASES)
     def test_shape(self, spatial_dim):

tests/inferers/test_sliding_window_inference.py

@@ -373,7 +373,7 @@ def compute_dict(data):
             np.testing.assert_allclose(result_dict[rr].cpu().numpy(), expected_dict[rr], rtol=1e-4)
 
 
-class TestSlidingWindowInference_cond(unittest.TestCase):
+class TestSlidingWindowInferenceCond(unittest.TestCase):
     @parameterized.expand(TEST_CASES)
     def test_sliding_window_default(self, image_shape, roi_shape, sw_batch_size, overlap, mode, device):
         n_total = np.prod(image_shape)