zmiany

board.py

@@ -3,13 +3,16 @@ from settings import Settings
 from field import Field
 
 settings = Settings()
-
+#(250, 650), (250, 750)
 
 def create_board(screen):
     board = []
-    shelfs = [(250, 150), (250, 250), (450, 150), (450, 250), (650, 150), (650, 250), (850, 150), (850, 250),
-              (250, 450), (350, 450), (750, 450), (850, 450),
-              (250, 650), (250, 750), (450, 650), (450, 750), (650, 650), (650, 750), (850, 650), (850, 750)]
+    shelfs = [
+        (50, 50), (150, 50), (450, 50), (550, 50), (850, 50), (950, 50),
+        (250, 250), (350, 250), (650, 250), (750, 250),
+        (50, 450), (150, 450), (450, 450), (550, 450), (850, 450), (950, 450),
+        (250, 650), (350, 650), (650, 650), (750, 650)
+    ]
 
     for y in range(settings.y_fields):
         row = []

coder.py

@@ -64,7 +64,7 @@ def code_shape(shape):
 
 def create_image(product):
     string = code_color(product.color) + code_shape(product.shape) + code_mass(product.mass) + \
-             code_shape(product.shape) + code_price(product.price)
+             code_size(product.size) + code_price(product.price)
     print(string)
     img = Image.new('RGB', (560, 112), color='white')
     d = ImageDraw.Draw(img)

main.py

@@ -20,7 +20,7 @@ def run():
     settings = Settings()
     screen = pygame.display.set_mode((settings.screen_width, settings.screen_height))
     pygame.display.set_caption("Inteligentny wózek widłowy")
-    agent = Agent(screen, 550, 450, "Down")
+    agent = Agent(screen, 950, 950, "Left")
     board = create_board(screen)
     my_tree = decision_tree.build_tree(data.learning_data)
     products_from_supply = []