black reformatting

2 files changed, 6 insertions, 9 deletions

diff --git a/text_recognizer/data/iam_extended_paragraphs.py b/text_recognizer/data/iam_extended_paragraphs.py
index 23e424d..0e97801 100644
--- a/text_recognizer/data/iam_extended_paragraphs.py
+++ b/text_recognizer/data/iam_extended_paragraphs.py
@@ -16,6 +16,7 @@ class IAMExtendedParagraphs(BaseDataModule):
     augment: bool = attr.ib(default=True)
     train_fraction: float = attr.ib(default=0.8)
     word_pieces: bool = attr.ib(default=False)
+    num_classes: int = attr.ib(init=False)
 
     def __attrs_post_init__(self) -> None:
         self.iam_paragraphs = IAMParagraphs(
@@ -35,8 +36,7 @@ class IAMExtendedParagraphs(BaseDataModule):
 
         self.dims = self.iam_paragraphs.dims
         self.output_dims = self.iam_paragraphs.output_dims
-        self.mapping = self.iam_paragraphs.mapping
-        self.inverse_mapping = self.iam_paragraphs.inverse_mapping
+        self.num_classes = self.iam_paragraphs.num_classes
 
     def prepare_data(self) -> None:
         """Prepares the paragraphs data."""
@@ -58,7 +58,7 @@ class IAMExtendedParagraphs(BaseDataModule):
         """Returns info about the dataset."""
         basic = (
             "IAM Original and Synthetic Paragraphs Dataset\n"  # pylint: disable=no-member
-            f"Num classes: {len(self.mapping)}\n"
+            f"Num classes: {len(self.num_classes)}\n"
             f"Dims: {self.dims}\n"
             f"Output dims: {self.output_dims}\n"
         )
diff --git a/text_recognizer/data/iam_paragraphs.py b/text_recognizer/data/iam_paragraphs.py
index 82058e0..7ba1077 100644
--- a/text_recognizer/data/iam_paragraphs.py
+++ b/text_recognizer/data/iam_paragraphs.py
@@ -38,20 +38,17 @@ MAX_LABEL_LENGTH = 682
 class IAMParagraphs(BaseDataModule):
     """IAM handwriting database paragraphs."""
 
+    num_classes: int = attr.ib()
     augment: bool = attr.ib(default=True)
     train_fraction: float = attr.ib(default=0.8)
-    word_pieces: bool = attr.ib(default=False)
     dims: Tuple[int, int, int] = attr.ib(
         init=False, default=(1, IMAGE_HEIGHT, IMAGE_WIDTH)
     )
     output_dims: Tuple[int, int] = attr.ib(init=False, default=(MAX_LABEL_LENGTH, 1))
+    inverse_mapping: Dict[str, int] = attr.ib(init=False)
 
     def __attrs_post_init__(self) -> None:
-        self.mapping, self.inverse_mapping, _ = emnist_mapping(
-            extra_symbols=[NEW_LINE_TOKEN]
-        )
-        if self.word_pieces:
-            self.mapping = WordPieceMapping()
+        _, self.inverse_mapping, _ = emnist_mapping(extra_symbols=[NEW_LINE_TOKEN])
 
     def prepare_data(self) -> None:
         """Create data for training/testing."""