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MrGreed.py
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#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
from Util import log,cards_order
from Util import ORDER_DICT2,SCORE_DICT
from MrRandom import MrRandom
#from MrO_Trainer import cards_in_hand_oh,score_oh,four_cards_oh #a failed module
from ScenarioGenerator.ScenarioGen import ScenarioGen
import random,itertools,copy,torch
class MrGreed(MrRandom):
BURDEN_DICT={'SA':11,'SK':9,'SQ':8,'SJ':7,'S10':6,'S9':5,'S8':4,'S7':3,'S6':2,'S5':1,'S4':1,
'CA':11,'CK':9,'CQ':8,'CJ':7,'C10':6,'C9':5,'C8':4,'C7':3,'C6':2,'C5':1,'C4':1,
'DA':11,'DK':9,'DQ':8,'DJ':7,'D10':6,'D9':5,'D8':4,'D7':3,'D6':2,'D5':1,'D4':1,
'H10':6,'H9':5,'H8':4,'H7':3,'H6':2,'H5':1,'H4':1}
BURDEN_DICT_S={'SA':50,'SK':30}
BURDEN_DICT_D={'DA':-30,'DK':-20,'DQ':-10}
BURDEN_DICT_C={'CA':0.4,'CK':0.3,'CQ':0.2,'CJ':0.1} #ratio of burden, see calc_relief
SHORT_PREFERENCE=30 #will multiply (average suit count)-(my suit count), if play first
N_SAMPLE=20
def gen_cards_dict(cards_list):
cards_dict={"S":[],"H":[],"D":[],"C":[]}
for i in cards_list:
cards_dict[i[0]].append(i)
return cards_dict
def gen_legal_choice(suit,cards_dict,cards_list):
if cards_dict.get(suit)==None or len(cards_dict[suit])==0:
return cards_list
else:
return cards_dict[suit]
def gen_fmt_scores(scards):
"""
generate formatted scores which is easy for computation
[0,0,False,False] stands for [score, #hearts, C10 flag, has score flag]
in absolute order!
"""
fmt_score_list=[[0,0,False,False],[0,0,False,False],[0,0,False,False],[0,0,False,False]]
for i,cs in enumerate(scards):
for c in cs:
fmt_score_list[i][0]+=SCORE_DICT[c]
if c=='C10':
fmt_score_list[i][2]=True
else:
fmt_score_list[i][3]=True
if c[0]=='H':
fmt_score_list[i][1]+=1
return fmt_score_list
def calc_score_change(fmt_score,four_cards,scs_rmn_avg):
"""
calculate the marginal score change for the winner of this trick
will be called by clear_score
fmt_score : formated score. see gen_fmt_scores
four_cards : four cards for this trick
scs_rmn_avg: scored cards remained average
"""
delta_score=0
for c in four_cards:
delta_score+=SCORE_DICT.get(c,0)
if fmt_score[2]:
delta_score*=2
elif 'C10' in four_cards:
delta_score+=delta_score+fmt_score[0]+scs_rmn_avg
return delta_score
def clear_score(four_cards,fmt_score_list,trick_start,scs_rmn_avg):
"""
judge the winner of this trick and then calc_score_change
see calc_score_change for the meaning of parameters
"""
winner=0
score_temp=ORDER_DICT2[four_cards[0][1]]
if four_cards[1][0]==four_cards[0][0]\
and ORDER_DICT2[four_cards[1][1]]>score_temp:
winner=1
score_temp=ORDER_DICT2[four_cards[1][1]]
if four_cards[2][0]==four_cards[0][0]\
and ORDER_DICT2[four_cards[2][1]]>score_temp:
winner=2
score_temp=ORDER_DICT2[four_cards[2][1]]
if four_cards[3][0]==four_cards[0][0]\
and ORDER_DICT2[four_cards[3][1]]>score_temp:
winner=3
delta_score=MrGreed.calc_score_change(fmt_score_list[(trick_start+winner)%4],four_cards,scs_rmn_avg)
if winner%2==0:
delta_score*=-1
return delta_score
def gen_impc_dict(scards,cards_on_table):
"""
generate important cards dict.
important cards include SQ, DJ, C10 so far.
played is True, not is False.
scards: I cannot remember
"""
impc_dict={'SQ':False,'DJ':False,'C10':False}
for i in scards:
for c in i:
if c=='SQ':
impc_dict['SQ']=True
elif c=='DJ':
impc_dict['DJ']=True
elif c=='C10':
impc_dict['C10']=True
for c in cards_on_table:
if c=='SQ':
impc_dict['SQ']=True
elif c=='DJ':
impc_dict['DJ']=True
elif c=='C10':
impc_dict['C10']=True
return impc_dict
def diy_impc_dict(impc_dict_base,cards_list):
"""
modify impc_dict w.r.t cards in hand
"""
impc_dict=copy.copy(impc_dict_base)
if 'SQ' in cards_list:
impc_dict['SQ']=True
if 'DJ' in cards_list:
impc_dict['DJ']=True
if 'C10' in cards_list:
impc_dict['C10']=True
return impc_dict
def calc_relief(card,impc_dict,scs_rmn_avg,my_score):
"""
If there is SQ, SA and SK have an effective "burden". Getting ride of them is a "relief".
impc_dict: see gen_impc_dict
"""
relief=MrGreed.BURDEN_DICT.get(card,0)
if impc_dict['SQ']==False:
relief+=MrGreed.BURDEN_DICT_S.get(card,0)
if impc_dict['DJ']==False:
relief+=MrGreed.BURDEN_DICT_D.get(card,0)
if impc_dict['C10']==False:
relief+=int(-1*MrGreed.BURDEN_DICT_C.get(card,0)*(scs_rmn_avg+my_score))
return relief
def as_last_player(suit,four_cards,cards_dict,cards_list,
fmt_score_list,trick_start,scs_rmn_avg,impc_dict_base,myplace,need_details=False):
impc_dict=MrGreed.diy_impc_dict(impc_dict_base,cards_list)
best_score=-65535
four_cards_tmp=four_cards[0:3]+['']
if need_details:
d_return={}
for c in MrGreed.gen_legal_choice(suit,cards_dict,cards_list):
four_cards_tmp[3]=c
score_temp=MrGreed.clear_score(four_cards_tmp,fmt_score_list,trick_start,scs_rmn_avg)\
+MrGreed.calc_relief(c,impc_dict,scs_rmn_avg,fmt_score_list[myplace][0])
if score_temp>best_score:
four_cards[3]=four_cards_tmp[3]
best_score=score_temp
if need_details:
d_return[c]=score_temp
if need_details:
return d_return #add d_return for training MrZeroTree
def as_third_player(suit,four_cards,cards_dict3,cards_list3,cards_dict4,cards_list4,
fmt_score_list,trick_start,scs_rmn_avg,impc_dict_base,myplace):
impc_dict=MrGreed.diy_impc_dict(impc_dict_base,cards_list3)
best_score=-65535
four_cards_tmp=four_cards[0:2]+['','']
for c in MrGreed.gen_legal_choice(suit,cards_dict3,cards_list3):
four_cards_tmp[2]=c
MrGreed.as_last_player(suit,four_cards_tmp,cards_dict4,cards_list4
,fmt_score_list,trick_start,scs_rmn_avg,impc_dict,myplace)
score_temp=-1*MrGreed.clear_score(four_cards_tmp,fmt_score_list,trick_start,scs_rmn_avg)\
+MrGreed.calc_relief(c,impc_dict,scs_rmn_avg,fmt_score_list[myplace][0])
if score_temp>best_score:
four_cards[2:4]=four_cards_tmp[2:4]
best_score=score_temp
def as_second_player(suit,four_cards,cards_dict2,cards_list2,cards_dict3,cards_list3,cards_dict4,cards_list4,
fmt_score_list,trick_start,scs_rmn_avg,impc_dict_base,myplace):
impc_dict=MrGreed.diy_impc_dict(impc_dict_base,cards_list2)
best_score=-65535
four_cards_tmp=[four_cards[0],'','','']
for c in MrGreed.gen_legal_choice(suit,cards_dict2,cards_list2):
four_cards_tmp[1]=c
MrGreed.as_third_player(suit,four_cards_tmp,cards_dict3,cards_list3,cards_dict4,cards_list4
,fmt_score_list,trick_start,scs_rmn_avg,impc_dict,myplace)
score_temp=MrGreed.clear_score(four_cards_tmp,fmt_score_list,trick_start,scs_rmn_avg)\
+MrGreed.calc_relief(c,impc_dict,scs_rmn_avg,fmt_score_list[myplace][0])
if score_temp>best_score:
four_cards[1:4]=four_cards_tmp[1:4]
best_score=score_temp
def pick_best_from_dlegal(d_legal):
"""
pick best choice from d_legal
will be called by pick_a_card only once
"""
best_score=float("-inf")
for k,v in d_legal.items():
if v>best_score:
best_score=v
best_choices=[k]
elif v==best_score:
best_choices.append(k)
return random.choice(best_choices)
def pick_a_card(self,need_details=False):
#确认桌上牌的数量和自己坐的位置相符
assert (self.cards_on_table[0]+len(self.cards_on_table)-1)%4==self.place
#utility datas
suit=self.decide_suit()
cards_dict=MrGreed.gen_cards_dict(self.cards_list)
#如果别无选择
if cards_dict.get(suit)!=None and len(cards_dict[suit])==1:
choice=cards_dict[suit][0]
if need_details:
return choice,None
else:
return choice
#more utility datas
fmt_score_list=MrGreed.gen_fmt_scores(self.scores) #in absolute order， because self.scores is in absolute order
impc_dict_base=MrGreed.gen_impc_dict(self.scores,self.cards_on_table)
scs_rmn_avg=(-200-sum([i[0] for i in fmt_score_list]))//4
#如果我是最后一个出的
if len(self.cards_on_table)==4:
four_cards=self.cards_on_table[1:4]+[""]
if need_details:
d_return=MrGreed.as_last_player(suit,four_cards,cards_dict,self.cards_list
,fmt_score_list,self.cards_on_table[0],scs_rmn_avg,impc_dict_base,self.place,need_details=True)
choice=four_cards[3]
return choice,d_return
else:
MrGreed.as_last_player(suit,four_cards,cards_dict,self.cards_list
,fmt_score_list,self.cards_on_table[0],scs_rmn_avg,impc_dict_base,self.place)
choice=four_cards[3]
return choice
#more utility datas
impc_dict_mine=MrGreed.diy_impc_dict(impc_dict_base,self.cards_list)
#如果我是倒数第二个
if len(self.cards_on_table)==3:
four_cards=self.cards_on_table[1:3]+['','']
#如果我是倒数第三个
elif len(self.cards_on_table)==2:
four_cards=[self.cards_on_table[1],'','','']
#如果我是第一个出
elif len(self.cards_on_table)==1:
four_cards=['','','','']
#expire_date=0 #for sampling
d_legal={c:0 for c in MrGreed.gen_legal_choice(suit,cards_dict,self.cards_list)} #dict of legal choice
sce_gen=ScenarioGen(self.place,self.history,self.cards_on_table,self.cards_list,number=MrGreed.N_SAMPLE)
for cards_list_list in sce_gen:
#decide
if len(self.cards_on_table)==3:
cards_list_1=cards_list_list[0]
cards_dict_1=MrGreed.gen_cards_dict(cards_list_1)
for c in d_legal:
four_cards[2]=c
MrGreed.as_last_player(suit,four_cards,cards_dict_1,cards_list_1
,fmt_score_list,self.cards_on_table[0],scs_rmn_avg,impc_dict_base,self.place)
score=-1*MrGreed.clear_score(four_cards,fmt_score_list,self.cards_on_table[0],scs_rmn_avg)\
+MrGreed.calc_relief(c,impc_dict_mine,scs_rmn_avg,fmt_score_list[self.place][0])
d_legal[c]+=score
elif len(self.cards_on_table)==2:
cards_list_1=cards_list_list[0]
cards_dict_1=MrGreed.gen_cards_dict(cards_list_1)
cards_list_2=cards_list_list[1]
cards_dict_2=MrGreed.gen_cards_dict(cards_list_2)
for c in d_legal:
four_cards[1]=c
MrGreed.as_third_player(suit,four_cards,cards_dict_1,cards_list_1,cards_dict_2,cards_list_2
,fmt_score_list,self.cards_on_table[0],scs_rmn_avg,impc_dict_base,self.place)
score=MrGreed.clear_score(four_cards,fmt_score_list,self.cards_on_table[0],scs_rmn_avg)\
+MrGreed.calc_relief(c,impc_dict_mine,scs_rmn_avg,fmt_score_list[self.place][0])
d_legal[c]+=score
elif len(self.cards_on_table)==1:
cards_list_1=cards_list_list[0]
cards_dict_1=MrGreed.gen_cards_dict(cards_list_1)
cards_list_2=cards_list_list[1]
cards_dict_2=MrGreed.gen_cards_dict(cards_list_2)
cards_list_3=cards_list_list[2]
cards_dict_3=MrGreed.gen_cards_dict(cards_list_3)
for c in d_legal:
four_cards[0]=c
MrGreed.as_second_player(c[0],four_cards,cards_dict_1,cards_list_1,cards_dict_2,cards_list_2,cards_dict_3,cards_list_3
,fmt_score_list,self.cards_on_table[0],scs_rmn_avg,impc_dict_base,self.place)
score=-1*MrGreed.clear_score(four_cards,fmt_score_list,self.cards_on_table[0],scs_rmn_avg)\
+MrGreed.calc_relief(c,impc_dict_mine,scs_rmn_avg,fmt_score_list[self.place][0])
d_legal[c]+=score
if len(self.cards_on_table)==1 and len(self.history)<3:
suit_ct={'S':0,'H':0,'D':0,'C':0}
for h,i in itertools.product(self.history,range(1,5)):
suit_ct[h[i][0]]+=1
d_suit_extra={'S':0,'H':0,'D':0,'C':0}
for s in 'SHDC':
my_len=len(cards_dict[s])
avg_len=(13-suit_ct[s]-my_len)/3
d_suit_extra[s]=int((avg_len-my_len)*MrGreed.SHORT_PREFERENCE*MrGreed.N_SAMPLE)
for c in d_legal:
d_legal[c]+=d_suit_extra[c[0]]
best_choice=MrGreed.pick_best_from_dlegal(d_legal)
if need_details:
#scores_had=[MrGreed.clear_fmt_score(fmt_score_list[(self.place+i)%4]) for i in range(4)]
#scores_had=scores_had[0]+scores_had[2]-scores_had[1]-scores_had[3]
d_return={c:d_legal[c]/MrGreed.N_SAMPLE for c in d_legal} #todo, no need for scs_rmn_avg
#log("scores had: %s"%(scores_had))
#log(d_return)
#log(d_legal)
return best_choice,d_return
else:
return best_choice
def clear_fmt_score(fmt_score):
"""
[0,0,False,False] stands for [score, #hearts, C10 flag, has score flag]
"""
s=fmt_score[0]
if fmt_score[1]==13:
s+=400
if fmt_score[2]:
if fmt_score[3]:
s*=2
else:
assert fmt_score[0]==0
assert fmt_score[1]==0
s=50
return s
@staticmethod
def family_name():
return 'MrGreed'
def bug_shi():
g=MrGreed(room=0,place=1,name='shi')
g.cards_on_table=[0,'C4']
g.history=[[0, 'C10', 'C5', 'CA', 'C9'], [2, 'DK', 'D10', 'D7', 'D8'], [2, 'DJ', 'DQ', 'D5', 'DA'],
[1, 'H5', 'H6', 'H4', 'H10'], [0, 'H8', 'H3', 'HJ', 'H9'], [2, 'CK', 'HA', 'CJ', 'CQ'],
[2, 'S9', 'S3', 'S10', 'SJ'], [1, 'C2', 'C7', 'HK', 'C8'], [0, 'S6', 'S4', 'S5', 'H7']]
g.scores=[['H5', 'H6', 'H4', 'H10', 'HK', 'H7'], ['DJ'], ['C10', 'H8', 'H3', 'HJ', 'H9', 'HA'], []]
g.cards_list=['D4', 'D6', 'D9', 'HQ']
print(g.pick_a_card())
if __name__=="__main__":
#optimize_para()
bug_shi()