Format files with black

5 files changed, 21 insertions, 5 deletions

diff --git a/text_recognizer/data/iam_paragraphs.py b/text_recognizer/data/iam_paragraphs.py
index 033b93e..a8d5e0d 100644
--- a/text_recognizer/data/iam_paragraphs.py
+++ b/text_recognizer/data/iam_paragraphs.py
@@ -86,7 +86,10 @@ 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 d906399..351e052 100644
--- a/text_recognizer/data/iam_synthetic_paragraphs.py
+++ b/text_recognizer/data/iam_synthetic_paragraphs.py
@@ -46,7 +46,13 @@ 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/data/transforms/word_piece.py b/text_recognizer/data/transforms/word_piece.py
index 69f0ce1..a15615d 100644
--- a/text_recognizer/data/transforms/word_piece.py
+++ b/text_recognizer/data/transforms/word_piece.py
@@ -19,7 +19,9 @@ class WordPiece:
         use_words: bool = False,
         prepend_wordsep: bool = False,
         special_tokens: Set[str] = {"<s>", "<e>", "<p>"},
-        extra_symbols: Optional[Set[str]] = {"\n",},
+        extra_symbols: Optional[Set[str]] = {
+            "\n",
+        },
         max_len: int = 451,
     ) -> None:
         self.mapping = WordPieceMapping(
diff --git a/text_recognizer/networks/efficientnet/efficientnet.py b/text_recognizer/networks/efficientnet/efficientnet.py
index 4c9ed75..bc0cdeb 100644
--- a/text_recognizer/networks/efficientnet/efficientnet.py
+++ b/text_recognizer/networks/efficientnet/efficientnet.py
@@ -88,7 +88,9 @@ 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 beb7d57..6324191 100644
--- a/text_recognizer/networks/efficientnet/mbconv.py
+++ b/text_recognizer/networks/efficientnet/mbconv.py
@@ -158,7 +158,10 @@ 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: