diff --git a/dali/test/python/test_operator_affine_transforms.py b/dali/test/python/test_operator_affine_transforms.py
index f5cc3d2ab8d..d8f018ab1e0 100644
--- a/dali/test/python/test_operator_affine_transforms.py
+++ b/dali/test/python/test_operator_affine_transforms.py
@@ -26,7 +26,7 @@
 from nvidia.dali import pipeline_def
 
 from sequences_test_utils import sequence_suite_helper, ArgCb, ParamsProvider
-from nose_utils import assert_raises, raises
+from nose_utils import assert_raises
 
 
 def check_results_sample(T1, mat_ref, T0=None, reverse=False, atol=1e-6):
@@ -639,7 +639,8 @@ def mt():
     batch0_inp = [mt() for _ in range(batch_size)]
     batch1_inp = [mt()[i:] for i in range(batch_size)]
 
-    with assert_raises(RuntimeError, glob="The input 0 and the input 1 have different number of frames for sample 1"):
+    expected_msg = "The input 0 and the input 1 have different number of frames for sample 1"
+    with assert_raises(RuntimeError, glob=expected_msg):
         @pipeline_def
         def pipeline():
             mts0, mts1 = fn.external_source(lambda _: (batch0_inp, batch1_inp), num_outputs=2)
diff --git a/dali/test/python/test_operator_coord_transform.py b/dali/test/python/test_operator_coord_transform.py
index 67ecde65743..747e003832c 100644
--- a/dali/test/python/test_operator_coord_transform.py
+++ b/dali/test/python/test_operator_coord_transform.py
@@ -249,4 +249,5 @@ def mt(sample_desc):
         (fn.coord_transform, {}, [ArgCb(0, lambda _: points(), False, "gpu")], ["cpu"], "MT"),
     ]
 
-    yield from sequence_suite_helper(rng, "F", [("F**", input_mt_data)], input_broadcast_cases, num_iters)
+    yield from sequence_suite_helper(
+        rng, "F", [("F**", input_mt_data)], input_broadcast_cases, num_iters)
diff --git a/dali/test/python/test_operator_gaussian_blur.py b/dali/test/python/test_operator_gaussian_blur.py
index 61dfe82c2dc..208f0de82e0 100644
--- a/dali/test/python/test_operator_gaussian_blur.py
+++ b/dali/test/python/test_operator_gaussian_blur.py
@@ -396,9 +396,9 @@ def per_axis_sigma(sample_desc):
 
 # test if SequenceOperator properly errors out on per-frame argument when input is expanded only
 # because of channel-first layout (but there are no frames on the input)
-@raises(RuntimeError, "Tensor input for argument window_size is specified per frame (got F layout). "
-        "In that case, samples in the input 0 must contain frames too. "
-        "Got layout `CHW` that does not contain frames.")
+@raises(RuntimeError, "Tensor input for argument window_size is specified per frame "
+                      "(got F layout). In that case, samples in the input 0 must contain "
+                      "frames too. Got layout `CHW` that does not contain frames.")
 def test_fail_per_frame_no_frames():
     @pipeline_def
     def pipeline():