Move post processing module into library

basic/metric_manager.py

@@ -40,7 +40,7 @@ import re
 import networkx as nx
 import editdistance
 import numpy as np
-from basic.post_pocessing_layout import PostProcessingModuleREAD, PostProcessingModuleRIMES
+from dan.post_processing import PostProcessingModuleREAD, PostProcessingModuleRIMES
 
 
 class MetricManager:

basic/post_pocessing_layout.py → dan/post_processing.py

@@ -34,6 +34,7 @@
 #  knowledge of the CeCILL-C license and that you accept its terms.
 
 import numpy as np
+
 from Datasets.dataset_formatters.read2016_formatter import SEM_MATCHING_TOKENS as READ_MATCHING_TOKENS
 from Datasets.dataset_formatters.rimes_formatter import SEM_MATCHING_TOKENS as RIMES_MATCHING_TOKENS
 
@@ -253,7 +254,7 @@ class PostProcessingModuleRIMES(PostProcessingModule):
                 ind += 1
         # a tag must be closed
         if begin_token is not None:
-            self.insert_label(ind+1, self.matching_tokens[begin_token])
+            self.insert_label(ind + 1, self.matching_tokens[begin_token])
         res = "".join(self.prediction)
         if self.confidence is not None:
             return res, np.array(self.confidence)