diff --git a/__pycache__/RotTable.cpython-37.pyc b/__pycache__/RotTable.cpython-37.pyc
index 97c7b449f729cb4937feb17325b1d5876ee76f4e..a2a8357d3008572384c7dcf2386e0a1d32d1e2de 100644
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diff --git a/__pycache__/croisement.cpython-37.pyc b/__pycache__/croisement.cpython-37.pyc
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Binary files a/__pycache__/croisement.cpython-37.pyc and b/__pycache__/croisement.cpython-37.pyc differ
diff --git a/__pycache__/individu.cpython-37.pyc b/__pycache__/individu.cpython-37.pyc
index 3ef8c96f9616f2b5975f79ca003e59c0324ae6ae..49544ba734948726b642b284d58a3f5e1c39df81 100644
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diff --git a/__pycache__/population.cpython-37.pyc b/__pycache__/population.cpython-37.pyc
index 3ff838dd3cc557205dd89fdb4f68cfc48e4fcaaf..c8b9251be885e62a4a09645d6eb683f983ea38da 100644
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diff --git a/croisement.py b/croisement.py
index 95119ecfe8ad91ea23492e9e9eab8fb3ced18b09..e9942ef5b4d0c7e628dfbd1515587c22b1486c1f 100644
--- a/croisement.py
+++ b/croisement.py
@@ -2,37 +2,22 @@ import numpy
 from RotTable import RotTable
 from individu import Individu
 
-ROT_TABLE = {\
-        "AA": [35.62, 7.2, -154, 0.06, 0.6, 0],\
-        "AC": [34.4, 1.1, 143, 1.3, 5, 0],\
-        "AG": [27.7, 8.4, 2, 1.5, 3, 0],\
-        "AT": [31.5, 2.6, 0, 1.1, 2, 0],\
-        "CA": [34.5, 3.5, -64, 0.9, 34, 0],\
-        "CC": [33.67, 2.1, -57, 0.07, 2.1, 0],\
-        "CG": [29.8, 6.7, 0, 1.1, 1.5, 0],\
-        "CT": [27.7, 8.4, -2, 1.5, 3, 0],\
-        "GA": [36.9, 5.3, 120, 0.9, 6, 0],\
-        "GC": [40, 5, 180, 1.2, 1.275, 0],\
-        "GG": [33.67, 2.1, 57, 0.07, 2.1, 0],\
-        "GT": [34.4, 1.1, -143, 1.3, 5, 0],\
-        "TA": [36, 0.9, 0, 1.1, 2, 0],\
-        "TC": [36.9, 5.3, -120, 0.9, 6, 0],\
-        "TG": [34.5, 3.5, 64, 0.9, 34, 0],\
-        "TT": [35.62, 7.2, -154, 0.06, 0.6, 0]\
-            }
-
-
 def croisement_un_point(parent1, parent2):
     '''Croise les tables de rotation des parents pour former deux enfants en respectant les symétries du problème'''
     ''' Retourne deux enfants'''
+
     enfant1 = Individu(RotTable())
     enfant2 = Individu(RotTable())
     comp = 0
     point_crois= numpy.random.random_integers(0,8)
-    list_dinucleotides = sorted(ROT_TABLE)
+    list_dinucleotides = sorted(RotTable().orta())
+
+    #We look at the list of sorted dinucleotides and create the crossover
     for doublet in list_dinucleotides:
         if doublet == "GA":
             break
+
+        #If it have a value smaller than the generated number it wont do the crossover
         if comp < point_crois:
             enfant1.table.rot_table[doublet] = parent1.table.rot_table[doublet]
             correspondent_doublet1 = enfant1.table.corr()[doublet]
@@ -44,6 +29,7 @@ def croisement_un_point(parent1, parent2):
             enfant2.table.rot_table[correspondent_doublet2] = parent2.table.rot_table[correspondent_doublet2]
             enfant2.table.rot_table[correspondent_doublet2][2] *= -1
         
+        #If it have a value bigger than the generated number it will crossover
         else :
             enfant1.table.rot_table[doublet] = parent2.table.rot_table[doublet]
             correspondent_doublet1 = enfant1.table.corr()[doublet]
@@ -62,13 +48,19 @@ def croisement_un_point(parent1, parent2):
 def croisement_deux_points(parent1, parent2):
     ''' Croise les tables de rotationd des deux parents en croisant à deux points et respectant les symétries du problème'''
     ''' Retourne deux enfants'''
+
     enfant1 = Individu(RotTable())
     enfant2 = Individu(RotTable())
     comp = 0
     point_crois1= numpy.random.random_integers(0,8)
     point_crois2= numpy.random.random_integers(0,8)
     list_dinucleotides = sorted(ROT_TABLE)
+
+    #We look at the list of sorted dinucleotides and create the crossover
     for doublet in list_dinucleotides:
+        
+        #If it have a value smaller than the first generated number it wont do the crossover
+        #unless it have a value bigger than the second generated number
         if comp < min(point_crois1,point_crois2) or comp > max(point_crois1,point_crois2):
             enfant1.table.rot_table[doublet] = parent1.table.rot_table[doublet]
             correspondent_doublet1 = enfant1.table.corr()[doublet]
@@ -80,6 +72,7 @@ def croisement_deux_points(parent1, parent2):
             enfant2.table.rot_table[correspondent_doublet2] = parent2.table.rot_table[correspondent_doublet2]
             enfant2.table.rot_table[correspondent_doublet2][2] *= -1
         
+        #If it have a value is located in between the generated values it will do the crossover
         else :
             enfant1.table.rot_table[doublet] = parent2.table.rot_table[doublet]
             correspondent_doublet1 = enfant1.table.corr()[doublet]
@@ -92,11 +85,3 @@ def croisement_deux_points(parent1, parent2):
             enfant2.table.rot_table[correspondent_doublet2][2] *= -1
         comp += 1
     return enfant1, enfant2
-
-# parent1 = Individu(RotTable())
-# parent2 = Individu(RotTable())
-# print("parent1: ", parent1.table.rot_table)
-# print("parent2: ", parent2.table.rot_table)
-# enfant1, enfant2 = croisement_un_point(parent1, parent2)
-# print("enfant1: ", enfant1.table.rot_table)
-# print("enfant2: ", enfant2.table.rot_table)
\ No newline at end of file
diff --git a/individu.py b/individu.py
index c6b3ba2a49173b6f438e035534af508f0dc27049..abb27b113f15006c20f1cb1f9b0bda12297f46d8 100644
--- a/individu.py
+++ b/individu.py
@@ -8,6 +8,7 @@ P1 = 0.015
 
 class Individu():
     ''' Un individu est caractérisé par sa table de rotations (individu.table)'''
+    
     def __init__(self, table):
         self.table = table
         lineList = [line.rstrip('\n') for line in open("plasmid_8k.fasta")]
diff --git a/population.py b/population.py
index c576750c6a07d703b25181a5bdf5a53d5a2a1281..2c89349ff371c58b15e405c5afa37c50eda00dc7 100644
--- a/population.py
+++ b/population.py
@@ -95,12 +95,10 @@ class Population:
     
         for _ in range(p-1):
             curseur = random()*n*(n+1)/2
-            # print("curseur", curseur)
             j = 1
             while j*(j+1)/2 < curseur :
                 j+=1 
             #on doit prendre l'individu avec le jème score 
-            # print("individus selectionés", individus_selectionnes)
             individus_selectionnes.append(liste_individus[j-1])
         
         self = self.modifier_population(individus_selectionnes)
@@ -164,7 +162,6 @@ class Population:
 def afficher(popu):
     for individu in popu.indiv :
         print("\n individu \n")
-        # print(individu.table.rot_table)
         print ("score", individu.score)