Fixed the error, turned out I'd been reading two shadow files and comparing those

umbra/controller.py

@@ -173,17 +173,22 @@ class Controller:
         Extensible to consider "type". Now assume shadow
         files.
         """
-        for file_path in self._shadow_files:
-            if "AO" not in file_path or ".csv" not in file_path:
-                # Very dirty
-                pass  # TODO: raise error
-            elif type == "shadow":
-                dict = self._model.get_multi_data(type)
-                key = ut.shadow_regex(file_path)
-                data = self._filereader.read(file_path, type)
-                ut.add_to_dict(key, data, dict, alternative=True)
-            else:
-                dict = self._model.get_multi_data(type)
-                key = ut.id_regex(file_path)
-                data = self._filereader.read(file_path, type)
-                ut.add_to_dict(key, data, dict, alternative=True)
+        if type == "shadow":
+            for file_path in self._shadow_files:
+                if "AO" not in file_path or ".csv" not in file_path:
+                    # Very dirty
+                    pass  # TODO: raise error
+                elif type == "shadow":
+                    dict = self._model.get_multi_data(type)
+                    key = ut.shadow_regex(file_path)
+                    data = self._filereader.read(file_path, type)
+                    ut.add_to_dict(key, data, dict, alternative=True)
+        else:
+            for file_path in self._source_files:
+                if ".csv" not in file_path:
+                    pass
+                else:
+                    dict = self._model.get_multi_data(type)
+                    key = ut.id_regex(file_path)
+                    data = self._filereader.read(file_path, type)
+                    ut.add_to_dict(key, data, dict, alternative=True)

umbra/mistake_finder.py

@@ -134,7 +134,6 @@ class MistakeFinder:
         while chain and index-i > 1:
             diff += 1
             i += 1
-            print(i, index)
             chain = self._shadow[i].word == self._shadow[index+diff].word
 
         if chain:

umbra/model.py

@@ -133,11 +133,13 @@ class Model:
 
                 for key, source in self._multi_data_source.items():
                     for key2, shadow in self._multi_data_shadow.items():
+
                         if key == ut.filter_key(key2):
+                            print([str(s) for s in source])
+                            print([str(s) for s in shadow])
                             result = self._stats.analyze(source, shadow)
                             ut.add_to_dict(key+"_res",
                                                 result, self._multi_results)
-                            self._stats = Statistics(None)
                         else:
                             pass