microfix
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parent
7b661c34c1
commit
f7597b2695
5
app.py
5
app.py
@ -53,6 +53,8 @@ def initBoard():
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cells[9][9].waga = 2
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cells[9][9].waga = 2
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cells[9][8].waga = 10
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cells[9][8].waga = 10
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cells[8][8].waga = 10
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cells[8][8].waga = 10
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cells[prefs.SPAWN_POINT[0]+1][prefs.SPAWN_POINT[1]].waga = 100
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cells[prefs.SPAWN_POINT[0]][prefs.SPAWN_POINT[1]-1].waga = 100
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cells[9][7].waga = 2
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cells[9][7].waga = 2
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cells[10][6].waga = 2
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cells[10][6].waga = 2
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@ -66,7 +68,8 @@ def draw_grid(window, cells, agent):
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pygame.draw.rect(window, cell.color, (i*prefs.CELL_SIZE, j*prefs.CELL_SIZE, prefs.CELL_SIZE, prefs.CELL_SIZE))
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pygame.draw.rect(window, cell.color, (i*prefs.CELL_SIZE, j*prefs.CELL_SIZE, prefs.CELL_SIZE, prefs.CELL_SIZE))
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if(cells[i][j].interactableItem):
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if(cells[i][j].interactableItem):
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cells[i][j].interactableItem.update(window)
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cells[i][j].interactableItem.update(window)
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cells[i][j].blit_text(cells[i][j].waga, i*50+6, j*52+6, 12,window)
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if(not cells[i][j].blocking_movement):
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cells[i][j].blit_text(cells[i][j].waga, i*50+6, j*52+6, 12,window)
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font = pygame.font.SysFont('Comic Sans MS', 30)
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font = pygame.font.SysFont('Comic Sans MS', 30)
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scoreText = font.render("Score: {}".format(str(round(agent.score,2))), 1, (0, 0, 0))
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scoreText = font.render("Score: {}".format(str(round(agent.score,2))), 1, (0, 0, 0))
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multiplierText = font.render("Multiplier: {}".format(str(round(agent.multiplier,2))), 1, (0, 0, 0))
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multiplierText = font.render("Multiplier: {}".format(str(round(agent.multiplier,2))), 1, (0, 0, 0))
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@ -213,6 +213,8 @@ class Agent:
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return possible_moves
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return possible_moves
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def calculate_priority(self, el):
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return el[0]
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def bfs2(self, target_x, target_y):
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def bfs2(self, target_x, target_y):
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visited = set()
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visited = set()
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@ -221,8 +223,8 @@ class Agent:
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#print(start_state)
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#print(start_state)
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queue = []
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queue = []
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heapq.heappush(queue, (0,(start_state, [], 0)))
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heapq.heappush(queue, (0,(start_state, [], 0)))
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while queue:
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while queue:
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queue.sort(key=self.calculate_priority)
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_, que = heapq.heappop(queue)
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_, que = heapq.heappop(queue)
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state, actions, gscore = que
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state, actions, gscore = que
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self.xPOM, self.yPOM, self.directionPOM = state
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self.xPOM, self.yPOM, self.directionPOM = state
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@ -256,9 +258,15 @@ class Agent:
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if 0 <= new_x < prefs.GRID_SIZE and 0 <= new_y < prefs.GRID_SIZE \
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if 0 <= new_x < prefs.GRID_SIZE and 0 <= new_y < prefs.GRID_SIZE \
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and not self.cells[new_x][new_y].blocking_movement:
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and not self.cells[new_x][new_y].blocking_movement:
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new_state = (new_x, new_y, new_direction)
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new_state = (new_x, new_y, new_direction)
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if (action == 'left' or action == 'right') :
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gscore = gscore + 1
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else:
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gscore = gscore + self.cells[new_x][new_y].waga
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f_score = gscore + self.heuristic((new_x,new_y), (target_x,target_y))
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f_score = gscore + self.heuristic((new_x,new_y), (target_x,target_y))
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gscore = gscore + self.cells[new_x][new_y].waga
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heapq.heappush(queue, (f_score, (new_state, new_actions, gscore+1)))
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heapq.heappush(queue, (f_score, (new_state, new_actions, gscore)))
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return []
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return []
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