isort

pytorch_forecasting/data/encoders.py

@@ -2,12 +2,12 @@
 Encoders for encoding categorical variables and scaling continuous data.
 """
 
-from typing import Any, Callable, Dict, Iterable, List, Tuple, Union, Optional
+from copy import deepcopy
+from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, Union
 import warnings
 
 import numpy as np
 import pandas as pd
-from copy import deepcopy
 from sklearn.base import BaseEstimator, TransformerMixin
 import torch
 from torch.distributions import constraints

pytorch_forecasting/data/timeseries.py

@@ -8,7 +8,7 @@
 from copy import copy as _copy, deepcopy
 from functools import lru_cache
 import inspect
-from typing import Any, Callable, Dict, List, Tuple, Union, Optional
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
 import warnings
 
 import numpy as np

pytorch_forecasting/models/mlp/_decodermlp.py

@@ -2,7 +2,7 @@
 Simple models based on fully connected networks
 """
 
-from typing import Dict, List, Tuple, Union, Optional
+from typing import Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import torch

pytorch_forecasting/models/nn/embeddings.py

@@ -1,4 +1,4 @@
-from typing import Dict, List, Tuple, Union, Optional
+from typing import Dict, List, Optional, Tuple, Union
 
 import torch
 import torch.nn as nn

pytorch_forecasting/models/rnn/_rnn.py

@@ -3,7 +3,7 @@
 """
 
 from copy import copy
-from typing import Dict, List, Tuple, Union, Optional
+from typing import Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import torch

pytorch_forecasting/models/temporal_fusion_transformer/_tft.py

@@ -3,7 +3,7 @@
 """
 
 from copy import copy
-from typing import Dict, List, Tuple, Union, Optional
+from typing import Dict, List, Optional, Tuple, Union
 
 import numpy as np
 import torch

pytorch_forecasting/models/temporal_fusion_transformer/sub_modules.py

@@ -2,9 +2,9 @@
 Implementation of ``nn.Modules`` for temporal fusion transformer.
 """
 
+from copy import deepcopy
 import math
 from typing import Dict, Tuple
-from copy import deepcopy
 
 import torch
 import torch.nn as nn