Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -462,12 +462,11 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
         ins_encoder.fit(insVocab)
         with open(filepath, 'rb') as fp:
             dico = pickle.load(fp)
-        outDict,chartDict,condDict,procDict,medDict = self.open_dict(self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_lab, self.feat_meds)
         df = pd.DataFrame.from_dict(dico, orient='index')
             
         for i, data in df.iterrows():
             concat_cols=[]
-            dyn_df,cond_df,demo=concat_data(data,self.config.name.replace(" ","_"),self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_meds,self.feat_lab,outDict,chartDict,condDict,procDict,medDict)
+            dyn_df,cond_df,demo=concat_data(data,self.config.name.replace(" ","_"),self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_meds,self.feat_lab,self.outDict,self.chartDict,self.condDict,self.procDict,self.medDict)
             dyn=dyn_df.copy()
             dyn.columns=dyn.columns.droplevel(0)
             cols=dyn.columns
@@ -518,9 +517,8 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
     def _generate_examples_deep(self, filepath):
         with open(filepath, 'rb') as fp:
             dico = pickle.load(fp)
-        outDict,chartDict,condDict,procDict,medDict = self.open_dict(self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_lab, self.feat_meds)
         for key, data in dico.items():   
-            stat, demo, meds, chart, out, proc, lab, y = generate_deep(data, self.config.name.replace(" ","_"), self.feat_cond,  self.feat_proc,  self.feat_out,  self.feat_chart, self.feat_meds,self.feat_lab,outDict,chartDict,condDict,procDict,medDict)
+            stat, demo, meds, chart, out, proc, lab, y = generate_deep(data, self.config.name.replace(" ","_"), self.feat_cond,  self.feat_proc,  self.feat_out,  self.feat_chart, self.feat_meds,self.feat_lab,self.outDict,self.chartDict,self.condDict,self.procDict,self.medDict)
             
             if self.verif_dim_tensor(proc, out, chart, meds, lab):
                 if self.data_icu:
@@ -605,6 +603,8 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
     def _info(self):
         self.path = self.init_cohort()
         self.size_cond, self.size_proc, self.size_meds, self.size_out, self.size_chart, self.size_lab, eth_vocab,gender_vocab,age_vocab,ins_vocab=vocab(self.config.name.replace(" ","_"),self.feat_cond,self.feat_proc,self.feat_out,self.feat_chart,self.feat_meds,self.feat_lab)
+        self.outDict,self.chartDict,self.condDict,self.procDict,self.medDict = self.open_dict(self.feat_cond,self.feat_proc,self.feat_out, self.feat_chart, self.feat_lab, self.feat_meds)
+        
         if (self.encoding == 'concat' or self.encoding =='aggreg'):
             return self._info_encoded()