python memory_profiler库生成器和迭代器内存占用的时间分析

import time
from memory_profiler import profile
@profile(precision=4)
def list_fun():
	start = time.time()
	total = ([i for i in range(5000000)])
	print('iter_spend_time:',time.time()-start)

@profile(precision=4)
def gent_func():
	gent_start = time.time()
	total = (i for i in range(5000000))

	print('gent_spend_time:',time.time()-gent_start)

iter_fun()
gent_func()

import time
from memory_profiler import profile
@profile(precision=4)
def iter_fun():
	start = time.time()
	total = sum([i for i in range(10000000)])
	print('iter_spend_time:',time.time()-start)
@profile(precision=4)
def gent_func():
	gent_start = time.time()
	total = sum(i for i in range(10000000))

	print('gent_spend_time:',time.time()-gent_start)

iter_fun()
gent_func()

import time
from memory_profiler import profile
itery = iter([i for i in range(5000000)])
gent = (i for i in range(5000000))
@profile(precision=4)
def iter_fun():
	start = time.time()
	total= 0
	for item in itery:
		total+=item
	print('iter:',time.time()-start)
@profile(precision=4)
def gent_func():
	gent_start = time.time()
	total = 0
	for item in gent:
		total+=item
	print('gent:',time.time()-gent_start)
iter_fun()
gent_func()

import time
from memory_profiler import profile
@profile(precision=4)
def list_fun():
	start = time.time()
	print('start!!!')
	list_data = [i for i in range(5000000)]
	total = sum(list_data)
	print('iter_spend_time:',time.time()-start)
@profile(precision=4)
def iter_fun():
	start = time.time()
	total = 0
	total = sum(iter([i for i in range(5000000)]))
	print('total:',total)
	print('iter_spend_time:',time.time()-start)

@profile(precision=4)
def gent_func():
	gent_start = time.time()
	total = sum(i for i in range(5000000))
	print('total:',total)
	print('gent_spend_time:',time.time()-gent_start)
list_fun()
iter_fun()
gent_func()