Python import模块的缓存问题解决方案

from imp import reload
reload(module)

import imp
imp.reload(module)

import importlib
importlib.reload(module)

from importlib import reload
reload(module)

#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
@author: Frank 
@contact: frank.chang@shoufuyou.com
@file: test_lru_cache.py
@time: 2018/9/8 下午8:55
"""
import time
from functools import lru_cache

class Model:
    @lru_cache(maxsize=10)
    def calculate(self, number):
        print(f'calculate({number}) is  running,', end=' ')
        print('sleep  3s  ')
        time.sleep(3)
        return number * 3

if __name__ == '__main__':

    model = Model()

    for i in range(5):
        print(model.calculate(i))

    for i in range(5):
        print(model.calculate(i))

#!/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
@author: Frank 
@contact: frank.chang@shoufuyou.com
@file: test_cache.py
@time: 2018/9/8 下午12:59
pip install cachetools

https://docs.python.org/3/library/operator.html

缓存成员方法的值 
cachetools  已经实现好了, 直接用就可以了. 

"""
from operator import attrgetter
import time
from cachetools import LRUCache,RRCache , cachedmethod

class Model:
    def __init__(self, cachesize):
        self.cache = LRUCache(maxsize=cachesize)

    @cachedmethod(attrgetter('cache'))
    def get_double_num(self, num):
        """ return  2* num"""
        print(f'get_double_num({num})  is running')
        time.sleep(2)
        return num * 2

model = Model(cachesize=10)
print(model.get_double_num(10))
print(model.get_double_num(10))
print(model.get_double_num(10))
print(model.get_double_num(10))
print(model.get_double_num(10))
print(model.get_double_num(10))

'Cache', 'LFUCache',
'LRUCache',
'RRCache', 'TTLCache',

# 缓存 函数的值
from cachetools import cached
@cached(cache={})
def fib(n):
    print((f'fib({n}) is  running.'))
    return n if n < 2 else fib(n - 1) + fib(n - 2)

for i in range(20):
    print('fib(%d) = %d' % (i, fib(i)))

@cached(cache={})
def fun(n):
    print(f'fun({n}) is runnnig.')
    time.sleep(3)
    return n ** 2

if __name__ == '__main__':
    for _ in range(5):
        print(fun(4))