是Udacity课程的第一个项目。
先从宏观把握一下思路,目的是做一个比较德州扑克大小的问题
首先,先抽象出一个处理的函数,它根据返回值的大小给出结果。
之后我们在定义如何比较两个或者多个手牌的大小,为方便比较大小,我们先对5张牌进行预处理,将其按照降序排序,如下:
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def card_ranks(hand):
ranks = [ '--23456789TJQKA' .INDEX(r) for r, s in hand]
ranks.sort(reverse = True )
return ranks
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然后我们可以枚举出一共有9种情况,并用数字代表每一种情况的等级,利用Python的比较功能,将等级放在第一位,如果等级相同,那么再比较后面的。
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def hand_rank(hand):
"Return a value indicating the ranking of a hand."
ranks = card_ranks(hand)
if straight(ranks) and flush(hand):
return ( 8 , max (ranks))
elif kind( 4 , ranks):
return ( 7 , kind( 4 , ranks), kind( 1 , ranks))
elif kind( 3 , ranks) and kind( 2 , ranks):
return ( 6 , kind( 3 , ranks), kind( 2 , ranks))
elif flush(hand):
return ( 5 , ranks)
elif straight(ranks):
return ( 4 , max (ranks))
elif kind( 3 , ranks):
return ( 3 , kind( 3 , ranks), ranks)
elif two_pair(ranks):
return ( 2 , two_pair(ranks), ranks)
elif kind( 2 , ranks):
return ( 1 , kind( 2 , ranks), ranks)
else :
return ( 0 , ranks)
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可以看到,如果等级相同,接下来比较的是每套牌中牌的大小了。同时我们需要三个函数,代表同花,顺子,以及kind(n, ranks),代表ranks有n张牌的点数。这里的三个函数实现非常巧妙,利用了set去重的特性。
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def straight(ranks):
return ( max (ranks) - min (ranks)) = = 4 and len ( set (ranks)) = = 5
def flush(hand):
suit = [s, for r, s in hand]
return len ( set (suit)) = = 1
def kind(n, ranks):
for s in ranks:
if ranks.count(s) = = n : return s
return None
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我们发现,有一种情况是含有两个对,于是需要一个函数来判断是否是这种情况,这个函数中调用了kind()函数,由于kind()函数满足短路特性,只会返回先得到的满足情况的点数,于是将其翻转后,在调用一边kind,若得到的结果相同,那么就只有一个对(或者没有),否则就有两个。
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def two_pairs(ranks):
pair = kind( 2 , ranks)
lowpair = kind( 2 , list (reverse(ranks)))
if pair ! = lowpair:
return (pair, lowpair)
else :
return None
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好了,整体的骨架算是搭完了,接下来处理会产生bug的情况,首先是A2345,当排序时由于A被算作14,所以针对这个问题需要单独列一个if
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处理A是最低:
def card_ranks(hand):
ranks = [ '--23456789TJQKA' .INDEX(r) for r, s in hand]
ranks.sort(reverse = True )
return [ 5 , 4 , 3 , 2 , 1 ] if (ranks = [ 14 , 5 , 4 , 3 , 2 ] else ranks
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之后就是进一步的简化了,思路挺好的
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def poker(hands):
return allmax(hands, key = hand_ranks)
def allmax(iterable, key = None ):
result, maxval = [], None
ket = key or lambda (x): x
for x in iterable:
xval = key(x)
if not result or xval > maxval:
result, maxval = [x], xval
elif :
result.append(x)
return result
"""大于就取代,等于就加入,小于不作处理"""
import random
mydeck = [r + s for r in '23456789TJKQA' for s in 'SHDC]
def deal(numhands, n = 5 , deck = [r + s for r in '23456789TJKQA' for s in 'SHDC]):
random.shuffle(deck)
return [deck[n * i:n * (i + 1 )] for i in range (numhands)]
def hand_ranks(hand):
groups = group[ '--23456789TJQKA' .index(r) for r, s in hand]
counts, ranks = unzip(groups)
if rnaks = = ( 14 , 5 , 4 , 3 , 2 , 1 ):
ransk = ( 5 , 4 , 3 , 2 , 1 )
straight = len (ranks) = = 5 and max (ranks) - min (ranks) = = 4
flush = len ( set ([s for r, s in hand])) = = 1
return ( 9 if ( 5 ,) = = count else
8 if straight and flush else
7 if ( 4 , 1 ) = = counts else
6 if ( 3 , 2 ) = = counts else
5 if flush else
4 if straight else
3 if ( 3 , 1 , 1 ) = = counts else
2 if ( 5 , 1 , 1 ) = = counts else
1 if ( 2 , 1 , 1 , 1 ) = = counts else
0 ), ranks
def group(items):
groups = [(items.count(x), x) for x in set (items)]
return sorted (groups, reverse = True )
def unzips(pairs): return zip ( * pairs)
def hand_ranks(hand):
groups = group[ '--23456789TJQKA' .index(r) for r, s in hand]
counts, ranks = unzip(groups)
if rnaks = = ( 14 , 5 , 4 , 3 , 2 , 1 ):
ransk = ( 5 , 4 , 3 , 2 , 1 )
straight = len (ranks) = = 5 and max (ranks) - min (ranks) = = 4
flush = len ( set ([s for r, s in hand])) = = 1
return max (count_ranks[counts], 4 * straight + 5 * flush), ranks
count_rankings = {( 5 ,): 10 , ( 4 , 1 ): 7 , ( 3 , 2 ): 6 , ( 3 , 1 , 1 ): 3 , ( 2 , 2 , 1 ): 2 ,
( 2 , 1 , 1 , 1 ): 1 ,( 1 , 1 , 1 , 1 , 1 ): 0 }
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总结下,面对一个问题的思维步骤:
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started:understand problems look at specification See if it make sense
define the piece of problem reuse the piece you have test! >explore
最后是是的程序在各个方面达到均衡
correctness elegance efficienct featrues
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总结
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原文链接:http://blog.csdn.net/u013795429/article/details/49823715