Various linter fixes

src/highdicom/frame.py

@@ -257,8 +257,9 @@ def encode_frame(
                 if transfer_syntax_uid == JPEG2000Lossless:
                     if bits_allocated not in (1, 8, 16):
                         raise ValueError(
-                            'Bits Allocated must be 1, 8, or 16 for encoding of '
-                            f'monochrome image frames with with {name} codec.'
+                            'Bits Allocated must be 1, 8, or 16 for encoding '
+                            f'of monochrome image frames with with {name} '
+                            'codec.'
                         )
                 else:
                     if bits_allocated not in (8, 16):
@@ -287,9 +288,9 @@ def encode_frame(
 
                 if photometric_interpretation != required_pi.value:
                     raise ValueError(
-                        f'Photometric interpretation must be "{required_pi.value}" '
-                        'for encoding of color image frames with '
-                        f'{name} codec.'
+                        f'Photometric interpretation must be '
+                        f'"{required_pi.value}" for encoding of color image '
+                        f'frames with {name} codec.'
                     )
 
         if transfer_syntax_uid == JPEG2000:

src/highdicom/sr/sop.py

@@ -389,7 +389,9 @@ def extract_evidence(
                             UID(instance_ds.ReferencedSOPClassUID),
                         )
 
-        current_evidence_seq = self.get('CurrentRequestedProcedureEvidenceSequence')
+        current_evidence_seq = self.get(
+            'CurrentRequestedProcedureEvidenceSequence'
+        )
         if current_evidence_seq is not None:
             current_evidence = extract_evidence(current_evidence_seq)
         else:
@@ -440,7 +442,9 @@ def extract_evidence_series(
                         UID(series_ds.SeriesInstanceUID),
                     )
 
-        current_evidence_seq = self.get('CurrentRequestedProcedureEvidenceSequence')
+        current_evidence_seq = self.get(
+            'CurrentRequestedProcedureEvidenceSequence'
+        )
         if current_evidence_seq is not None:
             current_evidence = extract_evidence_series(current_evidence_seq)
         else:
@@ -459,6 +463,7 @@ def extract_evidence_series(
 
         return evidence
 
+
 class EnhancedSR(_SR):
 
     """SOP class for an Enhanced Structured Report (SR) document, whose

tests/test_base.py

@@ -74,7 +74,7 @@ def test_big_endian(self):
             )
 
     def test_explicit_vr(self):
-        sop_class = SOPClass(
+        _ = SOPClass(
             study_instance_uid=UID(),
             series_instance_uid=UID(),
             series_number=1,
@@ -87,7 +87,7 @@ def test_explicit_vr(self):
         )
 
     def test_implicit_vr(self):
-        sop_class = SOPClass(
+        _ = SOPClass(
             study_instance_uid=UID(),
             series_instance_uid=UID(),
             series_number=1,

tests/test_frame.py

@@ -275,7 +275,7 @@ def test_jpeg2000lossless_monochrome(self):
 
     def test_jpeg2000lossless_single_bit(self):
         bits_allocated = 1
-        frame = np.zeros((48, 32), dtype=np.dtype(f'uint8'))
+        frame = np.zeros((48, 32), dtype=np.dtype('uint8'))
         frame[12:45, 3:6] = 1
         compressed_frame = encode_frame(
             frame,

tests/test_sc.py

@@ -485,7 +485,7 @@ def test_monochrome_jpegls(self):
             frame
         )
 
-    def test_monochrome_jpegls(self):
+    def test_monochrome_jpegls_near_lossless(self):
         pytest.importorskip("libjpeg")
         bits_allocated = 16
         photometric_interpretation = 'MONOCHROME2'

tests/test_seg.py

@@ -663,8 +663,8 @@ def setUp(self):
         frame = np.pad(frame, ((0, 0), (12, 12), (12, 12), (0, 0)))
         self._sm_image.PixelData = frame.flatten().tobytes()
         self._sm_image.TotalPixelMatrixRows = (
-                frame.shape[1] *
-                int(self._sm_image.TotalPixelMatrixRows / self._sm_image.Rows)
+            frame.shape[1] *
+            int(self._sm_image.TotalPixelMatrixRows / self._sm_image.Rows)
         )
         self._sm_image.TotalPixelMatrixColumns = (
             frame.shape[2] *
@@ -3871,11 +3871,14 @@ def setUp(self):
 
             resized_multisegment = np.stack(
                 [
-                    im.resize(out_size, Image.Resampling.NEAREST) for im in seg_pil_multisegment
+                    im.resize(out_size, Image.Resampling.NEAREST)
+                    for im in seg_pil_multisegment
                 ],
                 axis=-1
             )[None]
-            self._downsampled_pix_arrays_multisegment.append(resized_multisegment)
+            self._downsampled_pix_arrays_multisegment.append(
+                resized_multisegment
+            )
 
             # Mock lower-resolution source images. No need to have their pixel
             # data correctly set as it isn't used. Just update the relevant

tests/test_sr.py

@@ -1479,8 +1479,9 @@ def test_from_image(self):
         for item in subject_context:
 
             # SpecimenUID
+            specimen_uid = '2.25.281821656492584880365678271074145532563'
             if item.ConceptNameCodeSequence[0].CodeValue == '121039':
-                assert item.UID == '2.25.281821656492584880365678271074145532563'
+                assert item.UID == specimen_uid
                 has_specimen_uid = True
 
             # Specimen Identifier