Correct codacy warnings

pina/optim/torch_optimizer.py

@@ -5,6 +5,7 @@ import torch
 from ..utils import check_consistency
 from .optimizer_interface import Optimizer
 
+
 class TorchOptimizer(Optimizer):
 
     def __init__(self, optimizer_class, **kwargs):
@@ -14,6 +15,5 @@ class TorchOptimizer(Optimizer):
         self.kwargs = kwargs
 
     def hook(self, parameters):
-        self.optimizer_instance = self.optimizer_class(
-            parameters, **self.kwargs
-        )
+        self.optimizer_instance = self.optimizer_class(parameters,
+                                                       **self.kwargs)

pina/optim/torch_scheduler.py

@@ -5,13 +5,13 @@ try:
     from torch.optim.lr_scheduler import LRScheduler  # torch >= 2.0
 except ImportError:
     from torch.optim.lr_scheduler import (
-        _LRScheduler as LRScheduler,
-    )  # torch < 2.0
+        _LRScheduler as LRScheduler, )  # torch < 2.0
 
 from ..utils import check_consistency
 from .optimizer_interface import Optimizer
 from .scheduler_interface import Scheduler
 
+
 class TorchScheduler(Scheduler):
 
     def __init__(self, scheduler_class, **kwargs):
@@ -23,5 +23,4 @@ class TorchScheduler(Scheduler):
     def hook(self, optimizer):
         check_consistency(optimizer, Optimizer)
         self.scheduler_instance = self.scheduler_class(
-            optimizer.optimizer_instance, **self.kwargs
-        )
+            optimizer.optimizer_instance, **self.kwargs)