find flower path + add beehome.png at starting point + update tree
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@ -3,4 +3,6 @@ pandas
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numpy
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scikit-learn
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IPython
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pydotplus
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pydotplus
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torch
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tensorflow
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259
src/main.py
259
src/main.py
@ -1,259 +0,0 @@
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import pygame
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import random
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#import Flower
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import Beehive
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import Frames
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from GeneticAlgorithm import GA
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from Field import Field, Neighbors
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from queue import Queue
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import heapq as h
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from checkFlower import chek_flower
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from PIL import Image
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import os
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def Manhattan_dis(start, end):
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start_x, start_y = start
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end_x, end_y = end
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return abs(start_x - end_x) + abs(start_y - end_y)
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def Make_path(start, end, previos):
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path = [end]
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while start not in path:
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path.append(previos[path[-1]])
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path.reverse()
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return path
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def A_star(field, start, end):
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open = []
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previous = {}
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closed = set()
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checked = set()
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now = (0, start)
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h.heappush(open, (0, start))
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while len(open) > 0:
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now = h.heappop(open)
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if now[1] in closed:
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continue
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if now[1][0:2] == end:
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path = Make_path(start, now[1], previous)
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return path
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closed.add(now[1])
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checked.add(now[1][0:2])
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for x in Neighbors(field, now[1]):
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if x not in closed and x not in checked:
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previous[x] = now[1]
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if now[1][0:2] != x[0:2]:
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added_cost = field[x[0], x[1]] + Manhattan_dis(x[0:2], end)
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else:
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added_cost = 0
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h.heappush(open, (now[0] + added_cost, x))
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checked.add(x)
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white = (255, 255, 255)
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#setting caption and icon
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pygame.display.set_caption('Smart Bee')
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setIcon = pygame.image.load('spritesNtiles/bee64.png')
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pygame.display.set_icon(setIcon)
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#
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###
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########################################
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#SHORT = pygame.image.load('spritesNtiles/shortGrass64.png') #0
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#TALL = pygame.image.load('spritesNtiles/tallGrass64.png') #1
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#TREE = pygame.image.load('spritesNtiles/dirtTree64.png') #10
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### tilemap
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FLOWER = 0
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SHORT = 1
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TALL = 80
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TREE = 100
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BEE = pygame.image.load('spritesNtiles/bee64.png')
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Directions = {
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0 : 'north',
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1 : 'east',
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2 : 'south',
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3 : 'west'
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}
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TREE_IMG_PATH = 'spritesNtiles/dirtTree64.png'
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SHORT_IMG_PATH = 'spritesNtiles/shortGrass64.png'
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TALL_IMG_PATH = 'spritesNtiles/tallGrass64.png'
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tiles_types = {
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SHORT: pygame.image.load('spritesNtiles/shortGrass64.png'),
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TALL: pygame.image.load('spritesNtiles/tallGrass64.png'),
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TREE: pygame.image.load('spritesNtiles/dirtTree64.png'),
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FLOWER: pygame.image.load('ANN\\rdy-dataset\\test\\rose\\377277099_544769262c_c.jpg')
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}
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tilemapSizeX = 12
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tilemapSizeY = 12
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tileSize = 64
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tilemap_types = []
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for x in range(tilemapSizeX):
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tilemap_types.append([])
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for y in range(tilemapSizeY):
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rr = random.choices([SHORT, TALL, FLOWER], weights=[0.5, 0.4, 0.1])[0]
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tilemap_types[x].append(rr)
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#example tilemap values
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tilemap_values = []
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SHORT_VALUE = 1
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TALL_VALUE = 100
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TREE_VALUE = 200
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FLOWER_VALUE = 1
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###
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#calculate the window size
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disX = tilemapSizeX * tileSize
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disY = tilemapSizeY * tileSize
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pygame.init()
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dis = pygame.display.set_mode((disX, disY))
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clock = pygame.time.Clock()
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#position of the bee and pos changings
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# Define parameters
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flower_positions = [(flower_x, flower_y) for flower_x in range(tilemapSizeX) for flower_y in range(tilemapSizeY) if tilemap_types[flower_x][flower_y] == FLOWER]
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generations = 10
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# Create an instance of the GeneticAlgorithm class
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ga = GA(10, generations,flower_positions, tilemap_types)
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# Run the genetic algorithm
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best_individual = ga.run()
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print(best_individual)
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# Retrieve the best tree arrangement from the best individual
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tree_arrangement = best_individual
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# Render the tilemap with the optimized tree positions
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for x, y in tree_arrangement:
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tilemap_types[x][y] = TREE
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print(x,y)
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for X in range(0, len(tilemap_types)):
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tilemap_values.append([])
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for Y in range(0, len(tilemap_types[X])):
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if tilemap_types[X][Y] == SHORT: value = SHORT_VALUE
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elif tilemap_types[X][Y] == TALL: value = TALL_VALUE
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elif tilemap_types[X][Y] == TREE: value = TREE_VALUE
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elif tilemap_types[X][Y] == FLOWER: value = FLOWER_VALUE
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tilemap_values[X].append(value)
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field = Field(tilemap_types, tilemap_values)
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for X in range(tilemapSizeX):
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for Y in range(tilemapSizeY):
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if(tilemap_types[X][Y] == TREE):
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field.set_image(X, Y, TREE_IMG_PATH)
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elif(tilemap_types[X][Y] == TALL):
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field.set_image(X, Y, TALL_IMG_PATH)
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elif(tilemap_types[X][Y] == SHORT):
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field.set_image(X, Y, SHORT_IMG_PATH)
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elif(tilemap_types[X][Y] == FLOWER):
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flower_type_num = random.randint(0, 5)
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class_names = os.listdir("ANN\\dataset")
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flower_type = class_names[flower_type_num]
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field.set_flower_type(X, Y, flower_type)
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selected_flower_list = os.listdir(f"ANN\\dataset\\{flower_type}\\")
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flower_img = f"ANN\\dataset\\{flower_type}\\{random.choice(selected_flower_list)}"
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field.set_image(X, Y, flower_img)
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bee_dir = 'west'
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while True:
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bee_x = random.randint(0, tilemapSizeX-2)
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bee_y = random.randint(0, tilemapSizeY-2)
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if(field.get_type([bee_x, bee_y]) != TREE):
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break
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while True:
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random_x = random.randint(0, tilemapSizeX-2)
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random_y = random.randint(0, tilemapSizeY-2)
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if(field.get_type([random_x, random_y]) != TREE):
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break
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path_A_star = A_star(field, (bee_x, bee_y, 3), (random_x, random_y))
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check_path_A = []
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for x in path_A_star:
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if x[0:2] not in check_path_A:
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check_path_A.append(x[0:2])
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print(check_path_A)
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print(len(check_path_A))
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path = path_A_star
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current_node = 0
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step = 1
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while True:
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# check for events
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for event in pygame.event.get():
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if event.type == pygame.QUIT:
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pygame.quit()
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quit()
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bee_x, bee_y, bee_dir = path[current_node]
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bee_dir = Directions[bee_dir]
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# render the bee and the tilemap
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dis.fill(white)
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for x in range(tilemapSizeX):
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for y in range(tilemapSizeY):
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tile = tilemap_types[x][y]
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surface = pygame.image.load(field.get_image((x, y)))
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dis.blit(surface, (x * tileSize, y * tileSize))
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# rotate and render the bee
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if bee_dir == 'west':
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bee_image = BEE
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elif bee_dir == 'east':
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bee_image = pygame.transform.rotate(BEE, 180)
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elif bee_dir == 'north':
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bee_image = pygame.transform.rotate(BEE, -90)
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elif bee_dir == 'south':
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bee_image = pygame.transform.rotate(BEE, 90)
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dis.blit(bee_image, (bee_x * tileSize, bee_y * tileSize))
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pygame.display.update()
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clock.tick(5)
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if(current_node + 1 == len(path)):
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step *= -1
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if(step == -1 and current_node == 0):
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step *= -1
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current_node += step
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BIN
src/spritesNtiles/beehome.png
Normal file
BIN
src/spritesNtiles/beehome.png
Normal file
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After Width: | Height: | Size: 11 KiB |
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Before Width: | Height: | Size: 16 KiB After Width: | Height: | Size: 11 KiB |
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