Lint files

1 files changed, 8 insertions, 5 deletions

diff --git a/text_recognizer/data/base_data_module.py b/text_recognizer/data/base_data_module.py
index 16a06d9..ee70176 100644
--- a/text_recognizer/data/base_data_module.py
+++ b/text_recognizer/data/base_data_module.py
@@ -1,13 +1,15 @@
 """Base lightning DataModule class."""
 from pathlib import Path
-from typing import Dict, Tuple, Type
+from typing import Dict, Optional, Tuple, Type, TypeVar
 
 import attr
 from pytorch_lightning import LightningDataModule
 from torch.utils.data import DataLoader
 
-from text_recognizer.data.base_mapping import AbstractMapping
 from text_recognizer.data.base_dataset import BaseDataset
+from text_recognizer.data.base_mapping import AbstractMapping
+
+T = TypeVar("T")
 
 
 def load_and_print_info(data_module_class: type) -> None:
@@ -23,6 +25,7 @@ class BaseDataModule(LightningDataModule):
     """Base PyTorch Lightning DataModule."""
 
     def __attrs_pre_init__(self) -> None:
+        """Pre init constructor."""
         super().__init__()
 
     mapping: Type[AbstractMapping] = attr.ib()
@@ -38,7 +41,7 @@ class BaseDataModule(LightningDataModule):
     output_dims: Tuple[int, ...] = attr.ib(init=False, default=None)
 
     @classmethod
-    def data_dirname(cls) -> Path:
+    def data_dirname(cls: T) -> Path:
         """Return the path to the base data directory."""
         return Path(__file__).resolve().parents[2] / "data"
 
@@ -53,14 +56,14 @@ class BaseDataModule(LightningDataModule):
         """Prepare data for training."""
         pass
 
-    def setup(self, stage: str = None) -> None:
+    def setup(self, stage: Optional[str] = None) -> None:
         """Split into train, val, test, and set dims.
 
         Should assign `torch Dataset` objects to self.data_train, self.data_val, and
             optionally self.data_test.
 
         Args:
-            stage (Any): Variable to set splits.
+            stage (Optional[str]): Variable to set splits.
 
         """
         pass