Update

Author: olegranmo

examples/classification/SequenceInterpretabilityDemo.py

@@ -35,22 +35,22 @@ def main(args):
         #position_3 = np.random.randint(position_2+1, args.sequence_length)
 
         if Y_train[i] == 0:
-            X_train[i,0,position_1,0] = 1
+            X_train[i,0,position_1,0] = 0
             X_train[i,0,position_1,1] = 0
 
             X_train[i,0,position_2,0] = 0
-            X_train[i,0,position_2,1] = 1
+            X_train[i,0,position_2,1] = 0
 
             X_train[i,0,position_3,0] = 0
-            X_train[i,0,position_3,1] = 1
+            X_train[i,0,position_3,1] = 0
         elif Y_train[i] == 1:
-            X_train[i,0,position_1,0] = 0
+            X_train[i,0,position_1,0] = 1
             X_train[i,0,position_1,1] = 1
 
             X_train[i,0,position_2,0] = 1
-            X_train[i,0,position_2,1] = 0
+            X_train[i,0,position_2,1] = 1
 
-            X_train[i,0,position_3,0] = 0
+            X_train[i,0,position_3,0] = 1
             X_train[i,0,position_3,1] = 1
         else:
             X_train[i,0,position_1,0] = 0
@@ -59,8 +59,8 @@ def main(args):
             X_train[i,0,position_2,0] = 0
             X_train[i,0,position_2,1] = 1
 
-            X_train[i,0,position_3,0] = 1
-            X_train[i,0,position_3,1] = 0
+            X_train[i,0,position_3,0] = 0
+            X_train[i,0,position_3,1] = 1
 
         if np.random.rand() <= args.noise:
             Y_train[i] = np.random.choice(np.setdiff1d([0,1,2], [Y_train[i]]))

tmu/lib/src/ClauseBank.c

@@ -321,7 +321,7 @@ static inline unsigned int cb_calculate_clause_output_with_literal_active(
 
 	if (print) {
 		printf("@");
-                for (int k = 0; k < 1028; ++k) {
+                for (int k = 0; k < 4; ++k) {
                     int literal_chunk = k / 32;
                     int literal_pos = k % 32;