python性能优化语法之读写文件

  在我目前的工作中，总是需要把生成的list写入文件或者从文件读出来，文件小的时候还没什么的，但是文件可大的时候简直慢的一逼。所以必须优化一下。以下是我找的一些读写文件的方法，希望通过这个可以清楚的描述出哪种方式更好.

#!/usr/bin/env python
# encoding: utf-8
'''
@author: shd
@time: 2019/10/19 13:43
@desc:
'''
import  time

def  calctime(func):
    def wrapper(*args,**kwargs):
        start_time = time.time()
        result = func(*args,**kwargs)
        end_time = time.time()
        print("{}一共耗时{}".format(func.__name__,end_time-start_time))
        return result
    return wrapper

tmp = set(map(lambda x:str(x),range(100000)))

@calctime
def func_one():
    with open('one.txt','w') as pf:

        pf.write('\n'.join(tmp))

@calctime
def func_two():

    for item in tmp:
        with open('two.txt','a') as pf:
            pf.write(item+'\n')

@calctime
def func_three():
    with open('three.txt','w') as pf:
        pf.writelines("%s\n" % t for t in tmp)

@calctime
def func_four():
    with open('one.txt','r') as pf:
        tmp = pf.read().strip().split('\n')
        # print(tmp)
        # print(len(tmp))

@calctime
def func_five():
    with open('one.txt', 'r') as pf:

        # for line in pf:
        #     print(line)
        print(len([line for line in pf]))


if __name__ == '__main__':
    func_one()
    func_two()
    func_three()
    func_four()
    func_five()

#output
func_one一共耗时0.03182792663574219
func_two一共耗时14.9568350315094
func_three一共耗时0.0598902702331543
func_four一共耗时0.010167121887207031
func_five一共耗时0.014065265655517578