diff --git a/pyproject.toml b/pyproject.toml
index 9dfc51fd1..e348d3260 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -73,7 +73,7 @@ optional-dependencies.dev = [
     "pylint-per-file-ignores==3.2.1",
     "pyproject-fmt==2.23.0",
     "pyrefly==1.0.0",
-    "pyright==1.1.409",
+    "pyright==1.1.410",
     "pyroma==5.0.1",
     "pytest==9.0.3",
     "pytest-beartype-tests==2026.4.26",
diff --git a/src/mock_vws/image_matchers.py b/src/mock_vws/image_matchers.py
index 363bf75bb..686957ad2 100644
--- a/src/mock_vws/image_matchers.py
+++ b/src/mock_vws/image_matchers.py
@@ -81,12 +81,7 @@ def __call__(
             second_image_resized = second_image.resize(size=target_size)
 
         first_image_np = np.array(object=first_image_resized, dtype=np.float32)
-        first_image_tensor = (
-            torch.tensor(  # pyright: ignore[reportPrivateImportUsage]
-                data=first_image_np,
-            ).float()
-            / 255
-        )
+        first_image_tensor = torch.tensor(data=first_image_np).float() / 255
         first_image_tensor = first_image_tensor.view(
             first_image_resized.size[1],
             first_image_resized.size[0],
@@ -97,12 +92,7 @@ def __call__(
             object=second_image_resized,
             dtype=np.float32,
         )
-        second_image_tensor = (
-            torch.tensor(  # pyright: ignore[reportPrivateImportUsage]
-                data=second_image_np,
-            ).float()
-            / 255
-        )
+        second_image_tensor = torch.tensor(data=second_image_np).float() / 255
         second_image_tensor = second_image_tensor.view(
             second_image_resized.size[1],
             second_image_resized.size[0],
diff --git a/src/mock_vws/target_raters.py b/src/mock_vws/target_raters.py
index bc28ce529..c4e94e101 100644
--- a/src/mock_vws/target_raters.py
+++ b/src/mock_vws/target_raters.py
@@ -28,12 +28,7 @@ def _get_brisque_target_tracking_rating(*, image_content: bytes) -> int:
     image_file = io.BytesIO(initial_bytes=image_content)
     with Image.open(fp=image_file) as image:
         image_np = np.array(object=image, dtype=np.float32)
-        image_tensor = (
-            torch.tensor(  # pyright: ignore[reportPrivateImportUsage]
-                data=image_np,
-            ).float()
-            / 255
-        )
+        image_tensor = torch.tensor(data=image_np).float() / 255
         image_tensor = image_tensor.view(
             image.size[1],
             image.size[0],