Fix lint

dan/transforms.py

@@ -178,9 +178,9 @@ def get_list_augmenters(img, aug_configs, fill_value):
         if aug_config["type"] == "dpi":
             valid_factor = False
             while not valid_factor:
-                factor = float(Uniform(
-                    aug_config["min_factor"], aug_config["max_factor"]
-                ).sample())
+                factor = float(
+                    Uniform(aug_config["min_factor"], aug_config["max_factor"]).sample()
+                )
                 valid_factor = not (
                     (
                         "max_width" in aug_config
@@ -202,12 +202,12 @@ def get_list_augmenters(img, aug_configs, fill_value):
             augmenters.append(DPIAdjusting(factor))
 
         elif aug_config["type"] == "zoom_ratio":
-            ratio_h = float(Uniform(
-                aug_config["min_ratio_h"], aug_config["max_ratio_h"]
-            ).sample())
-            ratio_w = float(Uniform(
-                aug_config["min_ratio_w"], aug_config["max_ratio_w"]
-            ).sample())
+            ratio_h = float(
+                Uniform(aug_config["min_ratio_h"], aug_config["max_ratio_h"]).sample()
+            )
+            ratio_w = float(
+                Uniform(aug_config["min_ratio_w"], aug_config["max_ratio_w"]).sample()
+            )
             augmenters.append(
                 ZoomRatio(
                     ratio_h=ratio_h, ratio_w=ratio_w, keep_dim=aug_config["keep_dim"]
@@ -215,7 +215,9 @@ def get_list_augmenters(img, aug_configs, fill_value):
             )
 
         elif aug_config["type"] == "perspective":
-            scale = float(Uniform(aug_config["min_factor"], aug_config["max_factor"]).sample())
+            scale = float(
+                Uniform(aug_config["min_factor"], aug_config["max_factor"]).sample()
+            )
             augmenters.append(
                 RandomPerspective(
                     distortion_scale=scale,
@@ -232,12 +234,10 @@ def get_list_augmenters(img, aug_configs, fill_value):
                 ).item()
             ) // 2 * 2 + 1
             sigma = float(
-                Uniform(aug_config["min_sigma"], aug_config["max_sigma"])
-                .sample()
+                Uniform(aug_config["min_sigma"], aug_config["max_sigma"]).sample()
             )
             alpha = float(
-                Uniform(aug_config["min_alpha"], aug_config["max_alpha"])
-                .sample()
+                Uniform(aug_config["min_alpha"], aug_config["max_alpha"]).sample()
             )
             augmenters.append(
                 ElasticDistortion(
@@ -281,8 +281,7 @@ def get_list_augmenters(img, aug_configs, fill_value):
                 randint(aug_config["min_kernel"], max_kernel_w + 1, (1,)).item()
             ) // 2 * 2 + 1
             sigma = float(
-                Uniform(aug_config["min_sigma"], aug_config["max_sigma"])
-                .sample()
+                Uniform(aug_config["min_sigma"], aug_config["max_sigma"]).sample()
             )
             augmenters.append(
                 GaussianBlur(kernel_size=(kernel_w, kernel_h), sigma=sigma)
@@ -292,10 +291,12 @@ def get_list_augmenters(img, aug_configs, fill_value):
             augmenters.append(GaussianNoise(std=aug_config["std"]))
 
         elif aug_config["type"] == "sharpen":
-            alpha = float(Uniform(aug_config["min_alpha"], aug_config["max_alpha"]).sample())
-            strength = float(Uniform(
-                aug_config["min_strength"], aug_config["max_strength"]
-            ).sample())
+            alpha = float(
+                Uniform(aug_config["min_alpha"], aug_config["max_alpha"]).sample()
+            )
+            strength = float(
+                Uniform(aug_config["min_strength"], aug_config["max_strength"]).sample()
+            )
             augmenters.append(Sharpen(alpha=alpha, strength=strength))
 
         else: