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interface.py
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interface.py
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import tkinter as tk
from BandB import *
from FirstFit import *
from NextFit import *
from BestFit import *
from WorstFit import *
from TabuSearch import RT
from GeneticAlgorithme import AG
from WWO_RS import H_WWO_RS
from testParameters import *
import random
import time
# fonction comme si ils sont déja implimmentées
# Define a function to update the result label
# 1:
# def binpackingfunctionBruteForce():
# nothing
# 2:
def binpackingfunctionBranchAndBound():
start_time = time.time()
# Find the solution (minimum number of bins used & distribution of objects in the bins)
minBoxes, solution = branchAndBound(nb_objets, bin_size, Objets)
end_time = time.time()
elapsed_time = end_time - start_time
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 3:
def binpackingfunctionFirstFit():
Set = []
for i in range(0,nb_objets):
c = Objets[i]
l = Item()
l.setWeight(c)
Set.append(l)
SetFF = list(Set)
BinFF = [Bin()]
start_time = time.time()
FF = FirstFit(SetFF,BinFF)
FF.packItems()
minBoxes, solution = FF.returnFF()
end_time = time.time()
elapsed_time = end_time - start_time
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 4:
def binpackingfunctionBestFit():
Set = []
for i in range(0,nb_objets):
c = Objets[i]
l = Item()
l.setWeight(c)
Set.append(l)
SetBF = list(Set)
BinBF = [Bin()]
start_time = time.time()
BF = BestFit(SetBF,BinBF)
BF.packItems()
minBoxes, solution = BF.returnBF()
end_time = time.time()
elapsed_time = end_time - start_time
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 5:
def binpackingfunctionWorstFit():
Set = []
for i in range(0,nb_objets):
c = Objets[i]
l = Item()
l.setWeight(c)
Set.append(l)
SetWF = list(Set)
BinWF = [Bin()]
start_time = time.time()
WF = WorstFit(SetWF,BinWF)
WF.packItems()
minBoxes, solution = WF.returnWF()
end_time = time.time()
elapsed_time = end_time - start_time
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 6:
def binpackingfunctionNextFit():
Set = []
for i in range(0,nb_objets):
c = Objets[i]
l = Item()
l.setWeight(c)
Set.append(l)
SetNF = list(Set)
BinNF = [Bin()]
start_time = time.time()
NF = NextFit(SetNF,BinNF)
NF.packItems()
minBoxes, solution = NF.returnNF()
end_time = time.time()
elapsed_time = end_time - start_time
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 7:
def binpackingfunctionRT():
elapsed_time,minBoxes,solution = RT(benchmarkFileName)
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
print(solution)
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 8:
def binpackingfunctionAG():
elapsed_time,minBoxes,solution = AG(benchmarkFileName)
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# 9:
def binpackingHybridation_WWO_and_RS():
elapsed_time,minBoxes,solution_ = H_WWO_RS(benchmarkFileName)
for tableau in bins_frame.winfo_children():
tableau.destroy()
couleurs = ["#f2f2f2", "#e6e6e6", "#d9d9d9", "#cccccc", "#bfbfbf"]
# Créer une liste de tableaux avec des cases aléatoires
solution = [value for value in solution_.values()]
for i, bin in enumerate(solution):
if bin:
couleur = couleurs[i % len(couleurs)]
tableau = tk.Frame(bins_frame, bd=1, relief="solid", bg=couleur)
for j in range(len(bin)):
tk.Label(tableau, text=f" {bin[j]} ", bd=1, relief="solid").pack(side="left", padx=5, pady=5, fill="x")
tableau.pack(side="top", padx=10, pady=10, fill="x")
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
result = f"{elapsed_time:.5f}"
result2 = f"{minBoxes}"
result = "Temp d'Execution: " + str(result)+ " s"
result2 = "NB_bins Minimal: " + str(minBoxes)
result_label.config(text=result)
result_label2.config(text=result2)
# Create a window object
window = tk.Tk()
# Add a title to the window
window.title("BinPacking - Projet OPT")
# Set the dimensions of the window
window.wm_state('zoomed')
window.resizable(False, False)
window.iconbitmap('icon.ico')
# Create a main frame
main_frame = tk.Frame(window)
main_frame.pack(fill=tk.BOTH, expand=True)
# Create frames inside the top frame
# Create a frame for the buttons
top_frame = tk.Frame(main_frame)
top_frame.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
# Add buttons to the frame
# button1 = tk.Button(top_frame, text="Méthode Exacte", command=binpackingfunctionBruteForce)
# button1.pack(side=tk.LEFT, padx=10, pady=10)
button2 = tk.Button(top_frame, text="Branch And Bound", command=binpackingfunctionBranchAndBound)
button2.pack(side=tk.LEFT, padx=10, pady=10)
button3 = tk.Button(top_frame, text="First Fit", command=binpackingfunctionFirstFit)
button3.pack(side=tk.LEFT, padx=10, pady=10)
button4 = tk.Button(top_frame, text="Best Fit", command=binpackingfunctionBestFit)
button4.pack(side=tk.LEFT, padx=10, pady=10)
button5 = tk.Button(top_frame, text="Worst Fit", command=binpackingfunctionWorstFit)
button5.pack(side=tk.LEFT, padx=10, pady=10)
button6 = tk.Button(top_frame, text="Next Fit", command=binpackingfunctionNextFit)
button6.pack(side=tk.LEFT, padx=10, pady=10)
button7 = tk.Button(top_frame, text="Recherche Tabou", command=binpackingfunctionRT)
button7.pack(side=tk.LEFT, padx=10, pady=10)
button8 = tk.Button(top_frame, text="Algorithme Génétique", command=binpackingfunctionRT)
button8.pack(side=tk.LEFT, padx=10, pady=10)
button9 = tk.Button(top_frame, text="Hybridation WWO & RS", command=binpackingHybridation_WWO_and_RS)
button9.pack(side=tk.LEFT, padx=10, pady=10)
# Center the frame horizontally
top_frame.place(relx=0.5, rely=0, anchor=tk.N)
# Create a frame for the output
output_frame = tk.Frame(main_frame)
output_frame.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
# Create a label for the output
result_label = tk.Label(output_frame, text="Temp d'Execution: --",bg="#FFFF00")
result_label.pack(side=tk.LEFT)
result_label2 = tk.Label(output_frame, text="NB_bins Minimal: --",bg="#FFFF00")
result_label2.pack(side=tk.LEFT)
output_frame.place(relx=0.5, rely=0.1, anchor=tk.N)
# Create a frame for the bins content
content_frame = tk.Frame(main_frame, bd=1, relief="solid")
content_frame.pack(side=tk.LEFT, expand=True)
# Create a label for the content
content_label = tk.Label(content_frame, text="Contenu des Bins")
content_label.pack(side=tk.TOP, padx=10, pady=10)
# Create a canvas for the bins content
content_canvas = tk.Canvas(content_frame, bd=0, highlightthickness=0)
content_canvas.pack(side=tk.LEFT, fill=tk.BOTH, expand=True)
# Add a scrollbar for the canvas
content_scrollbar = tk.Scrollbar(content_frame, orient=tk.VERTICAL, command=content_canvas.yview)
content_scrollbar.pack(side=tk.RIGHT, fill=tk.Y)
content_canvas.config(yscrollcommand=content_scrollbar.set)
# Create a frame inside the canvas to hold the bins
bins_frame = tk.Frame(content_canvas)
content_canvas.create_window((0, 0), window=bins_frame, anchor=tk.NW)
# Créer un cadre pour le tableau
tableau = tk.Frame(bins_frame, bd=1, relief="solid")
# Ouvrir le fichier en mode lecture
benchmarkFileName="benchmarks/benchMark4heuristics.txt"
with open(benchmarkFileName, "r") as file:
# 4heuristics
Objets = []
# Lire le contenu ligne par ligne
for ligne in file:
# Convertir la ligne en nombre et ajouter à la liste
taille = int(ligne.strip())
Objets.append(taille)
# Update the canvas scroll region after adding the bins
bins_frame.update_idletasks()
content_canvas.config(scrollregion=content_canvas.bbox(tk.ALL))
# Start the main event loop
window.mainloop()