fixed flake8 issues in three files

automl · Mar 9, 2021 · d09dfcc · d09dfcc
1 parent 6635b3b
commit d09dfcc
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Showing 3 changed files with 7 additions and 7 deletions.
diff --git a/autoPyTorch/datasets/base_dataset.py b/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
 

diff --git a/autoPyTorch/datasets/resampling_strategy.py b/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)

diff --git a/autoPyTorch/datasets/time_series_dataset.py b/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