Fix formmating complaints

Signed-off-by: M Q <[email protected]>

Author: MMelQin

monai/deploy/operators/dicom_series_to_volume_operator.py

@@ -114,7 +114,7 @@ def generate_voxel_data(self, series):
         vol_data = np.stack([s.get_pixel_array() for s in slices], axis=0)
         # The above get_pixel_array() already considers the PixelRepresentation attribute,
         # 0 is unsigned int, 1 is signed int
-        if slices[0][0x0028,0x0103].value == 0:
+        if slices[0][0x0028, 0x0103].value == 0:
             vol_data = vol_data.astype(np.uint16)
 
         # For now we support monochrome image only, for which DICOM Photometric Interpretation
@@ -157,24 +157,35 @@ def generate_voxel_data(self, series):
         except KeyError:
             slope = 1
 
-
         # check if vol_data, intercept, and slope can be cast to uint16 without data loss
-        if np.can_cast(vol_data, np.uint16, casting='safe') and np.can_cast(intercept, np.uint16, casting='safe') and np.can_cast(slope, np.uint16, casting='safe'):
-            logging.info(f"Casting to uint16")
+        if (
+            np.can_cast(vol_data, np.uint16, casting="safe")
+            and np.can_cast(intercept, np.uint16, casting="safe")
+            and np.can_cast(slope, np.uint16, casting="safe")
+        ):
+            logging.info("Casting to uint16")
             vol_data = np.array(vol_data, dtype=np.uint16)
             intercept = np.uint16(intercept)
             slope = np.uint16(slope)
-        elif np.can_cast(vol_data, np.float32, casting='safe') and np.can_cast(intercept, np.float32, casting='safe') and np.can_cast(slope, np.float32, casting='safe'):
-            logging.info(f"Casting to float32")
+        elif (
+            np.can_cast(vol_data, np.float32, casting="safe")
+            and np.can_cast(intercept, np.float32, casting="safe")
+            and np.can_cast(slope, np.float32, casting="safe")
+        ):
+            logging.info("Casting to float32")
             vol_data = np.array(vol_data, dtype=np.float32)
             intercept = np.float32(intercept)
             slope = np.float32(slope)
-        elif np.can_cast(vol_data, np.float64, casting='safe') and np.can_cast(intercept, np.float64, casting='safe') and np.can_cast(slope, np.float64, casting='safe'):
-            logging.info(f"Casting to float64")
+        elif (
+            np.can_cast(vol_data, np.float64, casting="safe")
+            and np.can_cast(intercept, np.float64, casting="safe")
+            and np.can_cast(slope, np.float64, casting="safe")
+        ):
+            logging.info("Casting to float64")
             vol_data = np.array(vol_data, dtype=np.float64)
             intercept = np.float64(intercept)
             slope = np.float64(slope)
-            
+
         if slope != 1:
             vol_data = slope * vol_data