Code introduction
The function combines the functionalities of multiple Python built-in libraries, including generating random strings, checking if a string contains only alphabetic characters, calculating the greatest common divisor, getting the current working directory, getting the current time, generating an MD5 hash, parsing JSON strings, finding numbers in a string, and counting the occurrences of each character in a string.
Technology Stack : random, string, math, os, datetime, hashlib, json, re, collections
Code Type : String processing, mathematical operations, file operations, time processing, hashing, JSON parsing, regular expressions, data statistics
Code Difficulty : Intermediate
import random
import string
import math
import os
import datetime
import hashlib
import json
import re
import collections
def generate_random_string(length, chars=string.ascii_letters + string.digits):
return ''.join(random.choice(chars) for _ in range(length))
def xxx(arg1, arg2, arg3):
# 使用random库生成随机字符串
random_string = generate_random_string(10)
# 使用string库检查字符串是否只包含字母
is_alpha = all(char.isalpha() for char in arg1)
# 使用math库计算两个数的最大公约数
gcd = math.gcd(arg2, arg3)
# 使用os库获取当前工作目录
current_dir = os.getcwd()
# 使用datetime库获取当前时间
current_time = datetime.datetime.now()
# 使用hashlib库生成字符串的MD5散列
md5_hash = hashlib.md5(arg1.encode()).hexdigest()
# 使用json库解析JSON字符串
json_data = '{"name": "John", "age": 30}'
parsed_data = json.loads(json_data)
# 使用re库查找字符串中的所有数字
pattern = re.compile(r'\d+')
numbers = pattern.findall(arg1)
# 使用collections库计算字符串中每个字符的出现次数
letter_counts = collections.Counter(arg1)
return random_string, is_alpha, gcd, current_dir, current_time, md5_hash, parsed_data, numbers, letter_counts