纪念硬币找零 [英] Memoizing Coin Change
问题描述
我想将找零功能转换为记忆功能
为此,我决定使用字典,以便字典中的键将是硬币,而值将是包含所有可以更改键"硬币的硬币的列表.
我所做的是:
I want to convert my coin change function to memoized function
to do that, I decided to use dictionary so that a key in my dict will be the coin and the value will be a list that contain all the coins that can change the "key" coin.
what I did is:
def change(a,kinds=(50,20,10,5,1)):
if(a==0):
return 1
if(a<0 or len(kinds)==0):
return 0
return change(a-kinds[0],kinds)+change(a,kinds[1:])
def memoizeChange(f):
cache={}
def memo(a,kinds=(50,20,10,5,1)):
if len(cache)>0 and kinds in cache[a]:
return 1
else:
if(f(a,kinds)==1):
cache[a]=kinds // or maybe cache[a].append(..)
return cache[a]+memo(a-kinds[0],kinds)+memo(a,kinds[1:])
return memo
memC=memoizeChange(change)
kinds=(50,20,10,5,1)
print(memC(10,kinds))
我想获得一些建议,或者还有另一种方法.
谢谢.
I would like to get some suggestions , or maybe there is another way to do that.
thanks.
编辑
备注版本:
EDIT
Memoized version:
def change(a,kinds=(50,20,10,5,1)):
if(a==0):
return 1
if(a<0 or len(kinds)==0):
return 0
return change(a-kinds[0],kinds)+change(a,kinds[1:])
def memoizeChange(f):
cache={}
def memo(a,kinds=(50,20,10,5,1)):
if not (a,kinds) in cache:
cache[(a,kinds)]=f(a,kinds)
return cache[(a,kinds)]
return memo
change=memoizeChange(change)
print(change(10))
推荐答案
当您可以使用通用的预先编写的装饰器时,不必编写专门的记忆装饰器,例如直接来自 PythonDecoratorLibrary :
It's not necessary to write a specialized memorizing decorator when you could just use a generic pre-written one...such as the following straight from the PythonDecoratorLibrary:
import collections
import functools
class memoized(object):
'''Decorator. Caches a function's return value each time it is called.
If called later with the same arguments, the cached value is returned
(not reevaluated).
'''
def __init__(self, func):
self.func = func
self.cache = {}
def __call__(self, *args):
if not isinstance(args, collections.Hashable):
# uncacheable. a list, for instance.
# better to not cache than blow up.
return self.func(*args)
if args in self.cache:
return self.cache[args]
else:
value = self.func(*args)
self.cache[args] = value
return value
def __repr__(self):
'''Return the function's docstring.'''
return self.func.__doc__
def __get__(self, obj, objtype):
'''Support instance methods.'''
return functools.partial(self.__call__, obj)
然后您可以将其应用到您的change()
函数(或其他任何函数,因为它是通用的),如下所示:
You could then apply it to yourchange()
function (or any other, since it's generic) like this:
@memoized
def change(a, kinds=(50, 20, 10, 5, 1)):
if a == 0:
return 1
if a < 0 or len(kinds) == 0:
return 0
return change(a - kinds[0], kinds) + change(a, kinds[1:])
print(change(10)) # 4
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