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PlayerAI_3.py
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PlayerAI_3.py
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from random import randint
from BaseAI_3 import BaseAI
from Grid_3 import Grid
import copy
class PlayerAI(BaseAI):
def getMove(self, grid):
e,s = PlayerAI.next_move(grid,depth=2,max_depth=2)
moves = [UP, DOWN, LEFT, RIGHT] = range(4)
return e
def evaluate(grid,ratio=0.25):
max_head = max(grid.map[0][0],grid.map[0][3],grid.map[3][0],grid.map[3][3])
##第一圈
Weighter_value_1 = 0
verse = False
weight = 1.0
position_1 = (-1,-1)
if(grid.map[0][0]==max_head):
for y in range(0,4):
for x in range(0,4):
x_vain=x
y_vain=y
if verse:
x_vain = 3-x
val=grid.map[x_vain][y_vain]
if(position_1 == (-1,-1) and val == 0 ): ##第一个为0的点
position_1 = (x_vain,y_vain)
Weighter_value_1 = Weighter_value_1 + val*weight
weight = weight*ratio
verse = not verse
##第二圈
Weighter_value_2 = 0
verse = False
weight = 1.0
position_2 = (-1,-1)
if(grid.map[0][0]==max_head):
for x in range(0,4):
for y in range(0,4):
x_vain=x
y_vain=y
if verse:
y_vain = 3-y
val=grid.map[x_vain][y_vain]
if(position_2 == (-1,-1) and val == 0 ):
position_2 = (x_vain,y_vain)
Weighter_value_2 = Weighter_value_2 + val*weight
weight = weight*ratio
verse = not verse
##第三圈
Weighter_value_3 = 0
verse = False
weight = 1.0
position_3 = (-1,-1)
if(grid.map[0][3]==max_head):
for y in range(0,4):
for x in range(0,4):
x_vain=x
y_vain = 3-y
if verse:
x_vain = 3-x
val=grid.map[x_vain][y_vain]
if(position_3 == (-1,-1) and val == 0):
position_3 = (x_vain,y_vain)
Weighter_value_3 = Weighter_value_3 + val*weight
weight = weight*ratio
verse = not verse
##第四圈
Weighter_value_4 = 0
verse = False
weight = 1.0
position_4 = (-1,-1)
if(grid.map[3][0]==max_head):
for x in range(0,3):
for y in range(0,4):
x_vain = 3-x
y_vain = y
if verse:
y_vain = 3-y
val=grid.map[x_vain][y_vain]
if( position_4 == (-1,-1) and val == 0):
position_4 = (x_vain,y_vain)
Weighter_value_4 = Weighter_value_4 + val*weight
weight = weight*ratio
verse = not verse
##第五圈
Weighter_value_5 = 0
verse = True
weight = 1.0
position_5 = (-1,-1)
if(grid.map[3][0]==max_head):
for y in range(0,4):
for x in range(0,4):
x_vain = x
y_vain = y
if verse:
x_vain = 3-x
val=grid.map[x_vain][y_vain]
if(position_5 == (-1,-1) and val == 0):
position_5 = (x_vain,y_vain)
Weighter_value_5 = Weighter_value_5 + val*weight
weight = weight*ratio
verse = not verse
##第六圈
Weighter_value_6 = 0
verse = True
weight = 1.0
position_6 = (-1,-1)
if(grid.map[0][3]==max_head):
for x in range(0,3):
for y in range(0,4):
x_vain = x
y_vain = y
if verse:
y_vain = 3-y
val=grid.map[x_vain][y_vain]
if(position_6 == (-1,-1) and val == 0):
position_6 = (x_vain,y_vain)
Weighter_value_6 = Weighter_value_6 + val*weight
weight = weight*ratio
verse = not verse
##第七圈
Weighter_value_7 = 0
verse = True
weight = 1.0
position_7 = (-1,-1)
if(grid.map[3][3]==max_head):
for y in range(0,4):
for x in range(0,4):
x_vain = x
y_vain = 3-y
if verse:
x_vain =3-x
val=grid.map[x_vain][y_vain]
if(position_7 == (-1,-1) and val == 0):
position_7 = (x_vain,y_vain)
Weighter_value_7 = Weighter_value_7 + val*weight
weight = weight*ratio
verse = not verse
##第八圈：
Weighter_value_8 = 0
verse = True
weight = 1.0
position_8 = (-1,-1)
if(grid.map[3][3]==max_head):
for x in range(0,4):
for y in range(0,4):
x_vain=3-x
y_vain = y
if verse:
y_vain = 3-y
val=grid.map[x_vain][y_vain]
if(position_8 == (-1,-1) and val == 0):
position_8 = (x_vain,y_vain)
Weighter_value_8 = Weighter_value_8 + val*weight
weight = weight*ratio
verse = not verse
max_Val = max(Weighter_value_1,Weighter_value_2,Weighter_value_3,Weighter_value_4,Weighter_value_5,Weighter_value_6,Weighter_value_7,Weighter_value_8)
##
## position = position_1
## W_value = Weighter_value_1
if(max_Val == Weighter_value_1):
position = position_1
return max_Val , position
if(max_Val == Weighter_value_2):
position = position_2
return max_Val , position
if(max_Val == Weighter_value_3):
position = position_3
return max_Val , position
if(max_Val == Weighter_value_4):
position = position_4
return max_Val , position
if(max_Val == Weighter_value_5):
position = position_5
return max_Val , position
if(max_Val == Weighter_value_6):
position = position_6
return max_Val , position
if(max_Val == Weighter_value_7):
position = position_7
return max_Val , position
if(max_Val == Weighter_value_8):
position = position_8
return max_Val , position
return max_Val , position
def next_move(grid,depth,max_depth,base=0.9):
best_score = 0
best_move = -1
valid_move = grid.getAvailableMoves()
for e in range(0,4):
if( e in valid_move):
copy_grid = copy.deepcopy(grid)
copy_grid.move(e)
score,position = PlayerAI.evaluate(copy_grid)
copy_grid.map[position[0]][position[1]]=2
if depth != 0:
new_e,new_s = PlayerAI.next_move(copy_grid,depth-1,max_depth)
score += new_s * pow(base,max_depth-depth+1)
if(score >best_score):
best_score = score
best_move = e
return best_move,best_score