fix indent of polarity.py again

src/yews/models/polarity.py

@@ -116,7 +116,6 @@ def polarity_v1(pretrained=False, progress=True, **kwargs):
     `"Deep learning for ..." <https://arxiv.org/abs/1901.06396>`_ paper. The
     pretrained model is trained on 60,000 Wenchuan aftershock dataset
     demonstrated in the paper.
-
     Args:
         pretrained (bool): If True, returns a model pre-trained on Wenchuan)
         progress (bool): If True, displays a progress bar of the download to stderr
@@ -128,7 +127,6 @@ def polarity_v1(pretrained=False, progress=True, **kwargs):
         model.load_state_dict(state_dict)
     return model
 
-
 class PolarityV2(nn.Module):
 
     #https://github.com/pytorch/vision/blob/master/torchvision/models/vgg.py
@@ -259,13 +257,13 @@ def polarity_lstm(**kwargs):
                       "bidirectional":False, 
                       "contains_unkown":False}
     for k,v in kwargs.items():
-      if k in default_kwargs:
-        default_kwargs[k] = v
+        if k in default_kwargs:
+            default_kwargs[k] = v
     print("#### model parameters ####\n")
     print(default_kwargs)
     print("\n##########################")
     if(default_kwargs['end'] < default_kwargs['start']):
-      raise ValueError('<-- end cannot be smaller than start -->')
+        raise ValueError('<-- end cannot be smaller than start -->')
     model = PolarityLSTM(**default_kwargs)
     return model
 
@@ -274,4 +272,4 @@ def polarity_lstm(**kwargs):
 
 #     x = torch.ones([1, 1, 600])
 #     out = model(x)
-#     print(out.size())
+#     print(out.size())