Distribute NS to all member of the sequence (except last item of seq in support-set)

sampler.py

             
             seq = np.zeros([maxlen], dtype=np.int32)
             pos = np.zeros([maxlen], dtype=np.int32)
-            neg = np.zeros([maxlen*10], dtype=np.int32)
+            neg = np.zeros([maxlen*30], dtype=np.int32)
 
             if len(user_train[user]) < maxlen:
                 nxt_idx = len(user_train[user]) - 1
                 # support_negative_triples.append([seq[idx],curr_rel,neg[idx]])
                 # support_negative_triples.append([seq[-1], curr_rel, neg[idx]])
 
-            for idx in range(maxlen*10 - 1):
-                support_negative_triples.append([seq[-1], curr_rel, neg[idx]])
+            # for idx in range(maxlen*30 - 1):
+            #     support_negative_triples.append([seq[-1], curr_rel, neg[idx]])
+            for j in range(30):
+                for idx in range(maxlen-1):
+                    support_negative_triples.append([seq[idx], curr_rel, neg[j*maxlen + idx]])
 
             query_triples.append([seq[-1],curr_rel,pos[-1]])
             negative_triples.append([seq[-1],curr_rel,neg[-1]])

utils.py

         
         seq = np.zeros([self.maxlen], dtype=np.int32)
         pos = np.zeros([self.maxlen - 1], dtype=np.int32)
-        neg = np.zeros([self.maxlen*10 - 1], dtype=np.int32)
+        # neg = np.zeros([self.maxlen*30 - 1], dtype=np.int32)
+        neg = np.zeros([self.maxlen * 30], dtype=np.int32)
         
         idx = self.maxlen - 1
 
             # support_negative_triples.append([seq[idx],curr_rel,neg[idx]])
             # support_negative_triples.append([seq[-1],curr_rel,neg[idx]])
 
-        for idx in range(len(neg)):
-            support_negative_triples.append([seq[-1],curr_rel,neg[idx]])
+        # for idx in range(len(neg)):
+        #     support_negative_triples.append([seq[-1],curr_rel,neg[idx]])
+        for j in range(30):
+            for idx in range(self.maxlen-1):
+                support_negative_triples.append([seq[idx], curr_rel, neg[j * self.maxlen + idx]])
 
         rated = ts
         rated.add(0)