fixed flake8 issues in three files

Author: nabenabe0928

autoPyTorch/datasets/base_dataset.py

@@ -13,13 +13,13 @@
 
 from autoPyTorch.constants import CLASSIFICATION_OUTPUTS, STRING_TO_OUTPUT_TYPES
 from autoPyTorch.datasets.resampling_strategy import (
+    CrossValFunc,
     CrossValFuncs,
     CrossValTypes,
-    CrossValFunc,
     DEFAULT_RESAMPLING_PARAMETERS,
+    HoldOutFunc,
     HoldoutValTypes,
-    HoldOutFuncs,
-    HoldOutFunc
+    HoldOutFuncs
 )
 from autoPyTorch.utils.common import FitRequirement, hash_array_or_matrix
 

autoPyTorch/datasets/resampling_strategy.py

@@ -113,7 +113,7 @@ def stratified_holdout_validation(val_share: float, indices: np.ndarray, **kwarg
         return train, val
 
     @classmethod
-    def get_holdout_validators(cls, *holdout_val_types: Tuple[HoldoutValTypes]) -> Dict[str, HoldOutFunc]:
+    def get_holdout_validators(cls, *holdout_val_types: HoldoutValTypes) -> Dict[str, HoldOutFunc]:
 
         holdout_validators = {
             holdout_val_type.name: getattr(cls, holdout_val_type.name)

autoPyTorch/datasets/time_series_dataset.py

@@ -6,10 +6,10 @@
 
 from autoPyTorch.datasets.base_dataset import BaseDataset
 from autoPyTorch.datasets.resampling_strategy import (
-    CrossValTypes,
-    HoldoutValTypes,
     CrossValFuncs,
-    HoldOutFuncs
+    HoldOutFuncs,
+    CrossValTypes,
+    HoldoutValTypes
 )
 
 TIME_SERIES_FORECASTING_INPUT = Tuple[np.ndarray, np.ndarray]  # currently only numpy arrays are supported