diff --git a/Projet/images/calbuth.png b/Projet/cal.png
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diff --git a/Projet/images/galets.png b/Projet/images/galets.png
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diff --git a/Projet/images/joconde.png b/Projet/images/joconde.png
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diff --git a/Projet/images/mystere.csv b/Projet/images/mystere.csv
deleted file mode 100644
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diff --git a/Projet/main.py b/Projet/main.py
new file mode 100644
index 0000000000000000000000000000000000000000..cd696a84c6e4a907f5183d5ad59e61e9573385f3
--- /dev/null
+++ b/Projet/main.py
@@ -0,0 +1,27 @@
+from PIL import Image
+
+import traite_img
+
+def main():
+    # valeurs statics pour nom_image , order et action
+    
+    nom_image = "cal.png"
+    ordre = 3 #exemple d'ordre 3
+    action = "affiche"
+
+    # Charger l'image
+    
+    input_image = Image.open(nom_image)
+    
+    # Traiter l'image
+    output_image = traite_img.process_image(input_image, ordre)
+
+    # Afficher l'image en fonction de l'action
+    if action == "affiche":
+        output_image.show()
+    else:
+        print("Action non valide. L'action valide est 'affiche'.")
+
+if __name__ == "__main__":
+    main()
+
diff --git a/Projet/readme.md b/Projet/readme.md
index bbd89cac4cdbc15cee91cd5ed0ea6975b0ca5b08..1e9a724ff1369c901735913277aa2cfcefb3cfa2 100644
--- a/Projet/readme.md
+++ b/Projet/readme.md
@@ -4,3 +4,36 @@ Author: BELFADEL Mohamed
 - - -
 #journal
 
+24/03/2024 :
+
+main : 
+
+ j'ai structuré mon projet en créant un fichier main.py dont le script charge une image, la traite, puis effectue l'action d'affichage en fonction des paramètres fournis, ensuite je cree un module nommé traite_img.py qui s'occupe du traitement de l'image
+ 
+traite_img : 
+ 
+ ce module contient les fonctions naicessaires au traitement des images, il contient la fonction principale process_image() qui prend une image et un ordre en entrée.L'ordre détermine le niveau de récursivité de l'algorithme. À chaque niveau de récursion, l'image est divisée en quatre blocs, et l'algorithme est appliqué récursivement à chaque bloc. Ensuite, il vérifie si les blocs sont suffisamment proches en couleur. S'ils le sont, il crée un bloc uniforme avec la couleur moyenne. Sinon, il fusionne les quatre blocs.
+ 
+ 26/03/2024 : 
+
+j'ai reflechi à la structure du module traite_img et j'ai codé la fonction process_img qui s'occupe du traitement totale de l'image en faisant appel à d'autres fonction dont chaqu'une s'occupe d'une tache specifique et qu'ils sont les suivants : 
+
+ - diviser_image() : cette fonction divise l'image en 4 blocs
+ - average_rgb() : Cette fonction calcule la couleur moyenne de l'image en termes de composantes (RGB)
+ - sont_blocs_proches() : qui calcule la moyenne de chaque bloc et verifie si les couleurs sont assez proches, dans ce cas j'ai pris un seuil de 20 pixels
+ - creer_bloc_uniforme() : cette fonction cree un bloc uniforme à partir d'une liste de blocs d'images en utilisant la couleur moyenne des blocs
+ - fusionner_blocs() : Cette fonction prend une liste de quatre blocs d'images et les fusionne pour créer une seule image contenant ces quatre blocs
+ 
+ 30/02/2024 :
+ 
+ .j'ai codé la fonction diviser_image() en utilisant la methode corp qui permet de découper une région rectangulaire spécifique d'une image.dans ce cas là en 4 parties (haut à gauche , haut à droite , bas à gauche , bas à droite)
+
+ .j'ai codé la fonction average_rgb() qui calcule la couleur moyenne d'une image en termes de composantes (Rouge, Vert, Bleu - RGB)
+ .j'ai codé la fonction sont_blocs_proches() qui calcule la couleur moyenne de chaque bloc et verifie si les couleurs sont assez proches avec un seuil de 20 pixels
+ 
+ 31/04/2024 : 
+ .j'ai codé la fonction creer_bloc_uniforme() qui renvoie une nouvelle image représentant la couleur moyenne de tous les blocs
+ 
+ 01/04/2024 : 
+ .j'ai codé la fonction fusionner_blocs() prend une liste de quatre blocs d'images et les fusionne pour créer une seule image contenant ces quatre blocs
+
diff --git a/Projet/sources/classe.py b/Projet/sources/classe.py
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/Projet/traite_img.py b/Projet/traite_img.py
new file mode 100644
index 0000000000000000000000000000000000000000..8ce668def720bf453f4f576d9e3090fdf96c5b2c
--- /dev/null
+++ b/Projet/traite_img.py
@@ -0,0 +1,193 @@
+from PIL import Image, ImageDraw
+
+def process_image(image, ordre):
+    """cette fonction devise l'image en 4 blocs à chaque niveau de recursion ensuite, il vérifie si les blocs sont suffisamment proches en couleur. S'ils le sont, il crée un bloc uniforme avec la couleur moyenne. Sinon, il fusionne les quatre blocs.
+  
+
+    Précondition : 
+    Exemple(s) :
+    $$$ 
+
+    """
+    
+    # Cas de base : si l'ordre est zéro, crée et renvoie un bloc de la couleur moyenne de l'image
+    if ordre == 0:
+        largeur, hauteur = image.size        
+        couleur_moyenne_rgb = average_rgb(image)
+        bloc_uniforme = Image.new("RGB", (largeur, hauteur), couleur_moyenne_rgb)
+        return bloc_uniforme
+
+    # Diviser l'image en quatre blocs
+    blocs = diviser_image(image)
+
+    # Appliquer l'algorithme à chaque bloc récursivement
+    blocs_traites = []
+    for bloc in blocs:
+        bloc_traite = process_image(bloc, ordre - 1)
+        blocs_traites.append(bloc_traite)
+
+    # Vérifier si les blocs sont proches en couleur
+    if sont_blocs_proches(blocs_traites):
+        # Si c'est le cas, créer un bloc uniforme avec la couleur moyenne
+        return creer_bloc_uniforme(blocs_traites)
+    else:
+        # Sinon, créer un bloc contenant les quatre blocs traités
+        return fusionner_blocs(blocs_traites)
+    
+    
+
+def diviser_image(image):
+    """cette fonction divise l'image en 4 blocs
+
+    Précondition : 
+    Exemple(s) :
+    $$$ 
+
+    """
+    
+    width, height = image.size
+    half_width = width // 2
+    half_height = height // 2
+    
+    block1 = image.crop((0, 0, half_width, half_height)) # en haut à gauche
+    block2 = image.crop((half_width, 0, width, half_height)) # en haut à droite
+    block3 = image.crop((0, half_height, half_width, height)) # en bas à gauche
+    block4 = image.crop((half_width, half_height, width, height)) # en bas à droite
+    
+    return [block1, block2, block3, block4]
+    
+
+
+def average_rgb(image):
+    """Cette fonction calcule la couleur moyenne de l'image en termes de composantes (RGB)
+
+    Précondition : 
+    Exemple(s) :
+    $$$ 
+
+    """
+    # Chargez l'image et convertissez-la en mode RGB si elle n'est pas déjà dans ce mode
+    image = image.convert('RGB')
+    
+    # Obtenez la largeur et la hauteur de l'image
+    width, height = image.size
+    
+    # Obtenez les données de pixels pour l'ensemble de l'image
+    pixels = image.load()
+    
+    # Initialisez les variables pour stocker la somme des valeurs RGB
+    total_r, total_g, total_b = 0, 0, 0
+    
+    # Parcourez chaque pixel de l'image et additionnez les valeurs RGB
+    for y in range(height):
+        for x in range(width):
+            r, g, b = pixels[x, y]  # Obtenez les valeurs RGB du pixel actuel
+            total_r += r
+            total_g += g
+            total_b += b
+    
+    # Calculez les valeurs RGB moyennes en divisant la somme totale par le nombre de pixels
+    nb_pixels = width * height
+    average_r = total_r // nb_pixels
+    average_g = total_g // nb_pixels
+    average_b = total_b // nb_pixels
+    
+    return (average_r, average_g, average_b)
+
+    
+    
+def sont_blocs_proches(blocs):
+    """qui calcule la moyenne de chaque bloc et verifie si les couleurs sont assez proches,
+       dans ce cas j'ai pris un seuil de 20 pixels
+
+    Précondition : 
+    Exemple(s) :
+    $$$ 
+
+    """
+    # Calculer la couleur moyenne de chaque bloc
+    couleurs = [average_rgb(bloc) for bloc in blocs]
+
+    # Vérifier si les couleurs sont assez proches (seuil de 20 pixels)
+    
+    seuil = 20
+    for i in range(len(couleurs) - 1):
+        for j in range(i + 1, len(couleurs)):
+            couleur1 = couleurs[i]
+            couleur2 = couleurs[j]
+            if abs(couleur1[0] - couleur2[0]) > seuil or \
+               abs(couleur1[1] - couleur2[1]) > seuil or \
+               abs(couleur1[2] - couleur2[2]) > seuil:
+                return False
+    return True
+
+    
+
+def creer_bloc_uniforme(blocs):
+    """cette fonction cree un bloc uniforme à partir d'une liste de blocs d'images en utilisant la couleur moyenne des blocs
+
+    Précondition : 
+    Exemple(s) :
+    $$$ 
+
+    """
+     # Calculer les valeurs moyennes de chaque composante RGB pour chaque bloc
+    rgb_blocs = [average_rgb(bloc) for bloc in blocs]
+
+    # Calculer la somme des valeurs de chaque composante RGB pour tous les blocs
+    #sum_rgb = [sum(values) for values in zip(*rgb_blocs)]
+
+    # Transposer la liste des blocs RGB
+    transposed_rgb_blocs = zip(*rgb_blocs)
+    print("transposed_rgb_blocs :", transposed_rgb_blocs)
+
+    # Calculer la somme des valeurs de chaque composante RGB pour chaque pixel
+    sum_rgb_values = [sum(rgb_values) for rgb_values in transposed_rgb_blocs]
+
+    # Convertir la somme en une liste de valeurs RGB
+    sum_rgb = list(sum_rgb_values)
+
+    # Calculer le nombre total de blocs
+    nb_blocs = len(blocs)
+
+    # Calculer les valeurs moyennes de chaque composante RGB pour tous les blocs
+    average_rgb_values = [total // nb_blocs for total in sum_rgb]
+
+    # Convertir les valeurs moyennes en un tuple
+    couleur_moyenne_rgb = tuple(average_rgb_values)
+
+    # Créer une nouvelle image avec la couleur moyenne
+    largeur, hauteur = blocs[0].size
+    bloc_uniforme = Image.new("RGB", (largeur, hauteur), couleur_moyenne_rgb)
+    return bloc_uniforme
+
+def fusionner_blocs(blocs):
+    """Cette fonction prend une liste de quatre blocs d'images et les fusionne pour créer une seule image contenant ces quatre blocs
+
+    Précondition : 
+    Exemple(s) :
+    $$$ 
+
+    """
+    # Créer une nouvelle image contenant les quatre blocs
+    
+    largeur, hauteur = blocs[0].size #extraire la dimension d'un bloc quelconque (dim_bloc1 = dim_bloc2 = dim_bloc3 = dim_bloc4)
+    blocs_en_ligne = [blocs[:2], blocs[2:]] #  divise la liste blocs en deux parties, créant ainsi une liste de deux sous-listes où chaque sous-liste contient deux blocs d'images
+    
+    bloc_fusionne_haut = Image.new("RGB", (largeur * 2, hauteur)) # creer deux images vides avec une largeur deux fois plus grande que celle d'un bloc d'image individuel, mais la même hauteur que les blocs d'origine.
+    bloc_fusionne_bas = Image.new("RGB", (largeur * 2, hauteur))
+    
+    bloc_fusionne_haut.paste(blocs_en_ligne[0][0], (0, 0)) # colle le premier bloc d'image de la première sous-liste dans l'image fusionnée bloc_fusionne_haut
+    bloc_fusionne_haut.paste(blocs_en_ligne[0][1], (largeur, 0)) # colle le deuxième bloc d'image de la première sous-liste dans l'image fusionnée bloc_fusionne_haut
+    bloc_fusionne_bas.paste(blocs_en_ligne[1][0], (0, 0)) # colle le premier bloc d'image de la deuxième sous-listedans l'image fusionnée bloc_fusionne_bas
+    bloc_fusionne_bas.paste(blocs_en_ligne[1][1], (largeur, 0)) # colle le deuxième bloc d'image de la deuxième sous-liste dans l'image fusionnée bloc_fusionne_bas
+    
+    bloc_fusionne = Image.new("RGB", (largeur * 2, hauteur * 2)) # crée une nouvelle image vide bloc_fusionne avec une largeur et une hauteur deux fois plus grandes que celles des images fusionnées individuelles.
+    bloc_fusionne.paste(bloc_fusionne_haut, (0, 0)) # colle l'image fusionnée bloc_fusionne_haut dans l'image bloc_fusionne
+    bloc_fusionne.paste(bloc_fusionne_bas, (0, hauteur)) # colle l'image fusionnée bloc_fusionne_bas dans l'image bloc_fusionne juste en dessous du bloc_fusionne_haut
+    
+    return bloc_fusionne
+   
+
+
+    
diff --git a/README.md b/README.md
index db4dd09b82630eb91345ee3edc24e2c3f171c286..cdc4a867033d9f71c7e7c2ddc1aa96f602e742de 100644
--- a/README.md
+++ b/README.md
@@ -1 +1 @@
-TP-AP
\ No newline at end of file
+TP-AP de Mohamed
\ No newline at end of file
diff --git a/TP3/ap_decorators.py b/TP3/ap_decorators.py
index 5f4adc9129d3d7ffef9d7dc68b59e4d6643d419d..cc8ee60b08171f12d818ef0f599f5a337b33683e 100644
--- a/TP3/ap_decorators.py
+++ b/TP3/ap_decorators.py
@@ -120,7 +120,7 @@ def memoize(fct):
     return wrapper
 
 
-
+#
 if __name__ == '__main__':
     import doctest
     doctest.testmod(optionflags=doctest.NORMALIZE_WHITESPACE | doctest.ELLIPSIS, verbose=False)