functool.reduce 方法是迭代的应用传入的方法用前面得到的值来作为输入，所以方法最好有两个以上的变量，不然就不能迭代了
import functools
def ad(x,y):
return x*y
functools.reduce(ad,[2,3,4])
24
functools.partial 函数可以为函数提供定义好的输入变量，就像是函数的预定义变量一样，
In [27]:
def hello(one,two,three):
if one:
return two
else:
return three
par_func = functools.partial(hello,two='yes',three='no')
par_func(1)
Out[27]:
'yes'
functools.wraps 用这个函数定义函数的包装器，
In [33]:
from functools import wraps
def my_decorator(f):
@wraps(f)
def wraper(*args,**kwds):
print('calling decorators now')
return f(*args,**kwds)
return wraper
@my_decorator
def use_decorator():
print('function use decotator')
use_decorator()
calling decorators now
function use decorator
functools.total_ordering 定义类的比较方式
In [35]:
from functools import total_ordering
@total_ordering
class Student:
def __eq__(self, other):
return ((self.lastname.lower(), self.firstname.lower()) ==
(other.lastname.lower(), other.firstname.lower()))
def __lt__(self, other):
return ((self.lastname.lower(), self.firstname.lower()) <
(other.lastname.lower(), other.firstname.lower()))
