modification of the fitness

individu.py

@@ -17,26 +17,27 @@ class Individu():
     def evaluate(self, brin):
         traj = Traj3D()
 
-        numb_ajout = 3
+        numb_ajout = 6
 
         fisrt_seq = brin[0:numb_ajout]
         last_seq = brin[-numb_ajout:]
 
         traj.compute(last_seq + brin + fisrt_seq, self.table)
         traj_array = np.array(traj.getTraj())
+        print(traj_array)
+
         list_distance = []
 
-        for i in range(numb_ajout):
-                first_nuc_coordonate = traj_array[numb_ajout+i, 0:3]
-                first_nuc_coordonate_compute = traj_array[-(numb_ajout-i), 0:3]
-                
-                last_nuc_coordonate = traj_array[-(2*numb_ajout-i), 0:3]
-                last_nuc_coordonate_compute = traj_array[i, 0:3]
+        begining = traj_array[0:2*numb_ajout, 0:3]
+        end = traj_array[-2*numb_ajout:, 0:3]
 
-                distance_first_nuc = np.linalg.norm(first_nuc_coordonate - first_nuc_coordonate_compute, ord=2)
-                distance_last_nuc = np.linalg.norm(last_nuc_coordonate - last_nuc_coordonate_compute, ord=2)
+        for i in range(numb_ajout):
 
-                list_distance += [distance_first_nuc, distance_last_nuc]
+                nuc_coordonate_beg = begining[i]
+                print(nuc_coordonate_beg)
+                nuc_coordonate_end = end[i]
+                distance_nuc = np.linalg.norm(nuc_coordonate_beg - nuc_coordonate_end, ord=2)
+                list_distance += [distance_nuc]
 
 
         self.score = max(list_distance)
@@ -63,10 +64,10 @@ class Individu():
 # print(individu1.table.rot_table)
 # individu1.mutation()
 
-# table = RotTable()
-# test = Individu(table)
-# test.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
-# print(test.score)
+table = RotTable()
+test = Individu(table)
+test.evaluate("AAAGGATCTTCTTGAGATCCTTTTTTTCTGCGCGTAATCTGCTGCCAGTAAACGAAAAAACCGCCTGGGGAGGCGGTTTAGTCGAA")
+print(test.score)
 
 
 # qqun=Individu(RotTable())