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May 17th, 2021 (edited)
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  1. import tkinter as tk
  2. import random
  3.  
  4. import param
  5.  
  6.  
  7. random.seed(111)
  8.  
  9. def random_color():
  10. hex = ['5', '6', '7', '8', '9', 'a', 'b', 'c', 'd', 'e', 'f']
  11. kod = '#'
  12. for i in range(0, 6):
  13. kod += random.choice(hex)
  14. return kod
  15.  
  16.  
  17. def random_coord():
  18. return random.randint(25,325)
  19.  
  20.  
  21. def create_box(canvas, weight, value, final=False):
  22. global pos_x
  23. global pos_y
  24.  
  25. if final:
  26. pos_y = pos_y+40
  27. else:
  28. pos_x = random_coord()
  29. pos_y = random_coord()
  30.  
  31. color = random_color()
  32. ingotBase = [pos_x, pos_y,
  33. pos_x + 75, pos_y,
  34. pos_x + 68, pos_y - 20,
  35. pos_x + 7, pos_y - 20]
  36. ingotTop = [pos_x + 68, pos_y - 20,
  37. pos_x + 7, pos_y - 20,
  38. pos_x + 15, pos_y - 25,
  39. pos_x + 60, pos_y - 25]
  40. canvas.create_polygon(ingotBase, outline="gray30", fill=color, width=2)
  41. canvas.create_polygon(ingotTop, outline="gray40", fill=color, width=1)
  42. canvas.create_text(pos_x + 38, pos_y - 11, fill="#111", text="{}kg {}zł".format(weight, value))
  43.  
  44.  
  45. def buttonClick(pole, b, items, input_bin):
  46. pole.delete("all")
  47. random.seed(55)
  48.  
  49. pole.create_image((150, 190), image=img)
  50. pole.create_text(150,175,fill="#111",text="Limit: {}kg".format(param.MAX_WEIGHT),font=("Purisa",12))
  51.  
  52. global pos_x, pos_y
  53. pos_x, pos_y = 250, 100
  54. for item in items:
  55. create_box(pole, item[0], item[1], final=True)
  56.  
  57. # img = ImageTk.PhotoImage(Image.open("knapsack.png"))
  58. # panel = tk.Label(pole, image=img)
  59. # panel.pack(side="bottom", fill="both", expand="yes")
  60.  
  61. b.configure(text='Pokaz historie generacji', command=input_bin.showGraph)
  62.  
  63.  
  64. def showGui(items, map, input_bin):
  65. root = tk.Toplevel()
  66. root.geometry("500x500")
  67. root.configure(background="#444")
  68.  
  69. canvas = tk.Canvas(root, width=400, height=400, bg='#555', highlightthickness=0, bd=1)
  70.  
  71. global img
  72. img = tk.PhotoImage(
  73. 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")
  74.  
  75. for item in items:
  76. create_box(canvas,items[item][0],items[item][1])
  77.  
  78. canvas.pack(pady=15)
  79.  
  80. button = tk.Button(root, command=lambda: buttonClick(canvas, button, map, input_bin), text="Uruchom algorytm genetyczny", width=35, font=("Arial", 15),
  81. bg="#377758", fg="orange", activebackground="green", activeforeground="yellow")
  82. button.pack()
  83.  
  84. root.mainloop()
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