如果我有一个字符串集合,那么有一个数据结构或函数可以提高检查集合中的任何元素是否是我的主字符串上的子字符串的速度?
现在我循环遍历我的字符串数组并使用in运算符.有更快的方法吗?
import timing
## string match in first do_not_scan
## 0:00:00.029332
## string not in do_not_scan
## 0:00:00.035179
def check_if_substring():
for x in do_not_scan:
if x in string:
return True
return False
## string match in first do_not_scan
## 0:00:00.046530
## string not in do_not_scan
## 0:00:00.067439
def index_of():
for x in do_not_scan:
try:
string.index(x)
return True
except:
return False
## string match in first do_not_scan
## 0:00:00.047654
## string not in do_not_scan
## 0:00:00.070596
def find_def():
for x in do_not_scan:
if string.find(x) != -1:
return True
return False
string = '/usr/documents/apps/components/login'
do_not_scan = ['node_modules','bower_components']
for x in range(100000):
find_def()
index_of()
check_if_substring()
解决方法:
不,没有更快的内置方式.
使用内置方法,最糟糕的情况是:没有匹配,这意味着您已经测试了列表中的每个项目以及每个项目中的几乎每个偏移量.
幸运的是,in运算符非常快(至少在CPython中)并且在我的测试中速度快了近三倍:
0.3364804992452264 # substring()
0.867534976452589 # any_substring()
0.8401796016842127 # find_def()
0.9342398950830102 # index_of()
2.7920695478096604 # re implementation
这是我用于测试的脚本:
from timeit import timeit
import re
def substring():
for x in do_not_scan:
if x in string:
return True
return False
def any_substring():
return any(x in string for x in do_not_scan)
def find_def():
for x in do_not_scan:
if string.find(x) != -1:
return True
return False
def index_of():
for x in do_not_scan:
try:
string.index(x)
return True
except:
return False
def re_match():
for x in do_not_scan:
if re.search(string, x):
return True
return False
string = 'a'
do_not_scan = ['node_modules','bower_components']
print(timeit('substring()', setup='from __main__ import substring'))
print(timeit('any_substring()', setup='from __main__ import any_substring'))
print(timeit('find_def()', setup='from __main__ import find_def'))
print(timeit('index_of()', setup='from __main__ import index_of'))
print(timeit('re_match()', setup='from __main__ import re_match'))
标签:python,python-3-x,algorithm,big-o,string-algorithm
来源: https://codeday.me/bug/20190724/1525657.html