fix: lint and format

4 files changed, 4 insertions, 18 deletions

diff --git a/text_recognizer/data/iam_paragraphs.py b/text_recognizer/data/iam_paragraphs.py
index a8d5e0d..033b93e 100644
--- a/text_recognizer/data/iam_paragraphs.py
+++ b/text_recognizer/data/iam_paragraphs.py
@@ -86,10 +86,7 @@ class IAMParagraphs(BaseDataModule):
                 length=self.output_dims[0],
             )
             return BaseDataset(
-                data,
-                targets,
-                transform=transform,
-                target_transform=target_transform,
+                data, targets, transform=transform, target_transform=target_transform,
             )
 
         log.info(f"Loading IAM paragraph regions and lines for {stage}...")
diff --git a/text_recognizer/data/iam_synthetic_paragraphs.py b/text_recognizer/data/iam_synthetic_paragraphs.py
index 351e052..ea59098 100644
--- a/text_recognizer/data/iam_synthetic_paragraphs.py
+++ b/text_recognizer/data/iam_synthetic_paragraphs.py
@@ -46,13 +46,7 @@ class IAMSyntheticParagraphs(IAMParagraphs):
         log.info("Preparing IAM lines for synthetic paragraphs dataset.")
         log.info("Cropping IAM line regions and loading labels.")
 
-        iam = IAM(
-            mapping=EmnistMapping(
-                extra_symbols={
-                    NEW_LINE_TOKEN,
-                }
-            )
-        )
+        iam = IAM(mapping=EmnistMapping(extra_symbols=(NEW_LINE_TOKEN,)))
         iam.prepare_data()
 
         crops_train, labels_train = line_crops_and_labels(iam, "train")
diff --git a/text_recognizer/networks/efficientnet/efficientnet.py b/text_recognizer/networks/efficientnet/efficientnet.py
index bc0cdeb..4c9ed75 100644
--- a/text_recognizer/networks/efficientnet/efficientnet.py
+++ b/text_recognizer/networks/efficientnet/efficientnet.py
@@ -88,9 +88,7 @@ class EfficientNet(nn.Module):
             for _ in range(num_repeats):
                 self._blocks.append(
                     MBConvBlock(
-                        **args,
-                        bn_momentum=self.bn_momentum,
-                        bn_eps=self.bn_eps,
+                        **args, bn_momentum=self.bn_momentum, bn_eps=self.bn_eps,
                     )
                 )
                 args.in_channels = args.out_channels
diff --git a/text_recognizer/networks/efficientnet/mbconv.py b/text_recognizer/networks/efficientnet/mbconv.py
index 6324191..beb7d57 100644
--- a/text_recognizer/networks/efficientnet/mbconv.py
+++ b/text_recognizer/networks/efficientnet/mbconv.py
@@ -158,10 +158,7 @@ class MBConvBlock(nn.Module):
     def _configure_padding(self) -> Tuple[int, int, int, int]:
         """Set padding for convolutional layers."""
         if self.stride == (2, 2):
-            return (
-                (self.kernel_size - 1) // 2 - 1,
-                (self.kernel_size - 1) // 2,
-            ) * 2
+            return ((self.kernel_size - 1) // 2 - 1, (self.kernel_size - 1) // 2,) * 2
         return ((self.kernel_size - 1) // 2,) * 4
 
     def __attrs_post_init__(self) -> None: