| # coding=utf-8 | |
| import re | |
| import requests | |
| from bs4 import BeautifulSoup, Tag | |
| weather_pattern = re.compile( | |
| r'''(?P<name>[^<>]+?) # name group | |
| \s*?:\s*? # split by ':' | |
| (?P<value> # value group |
| package main | |
| import ( | |
| "context" | |
| "fmt" | |
| "io/ioutil" | |
| "net" | |
| "net/http" | |
| ) |
| #!/bin/bash | |
| ZONE="service" | |
| function usage { | |
| echo "USAGE: $0 param" | |
| echo "" | |
| echo "$0 -i block-ip1,block-ip2" | |
| echo "$0 -f block-ip-file" | |
| exit 1 | |
| } |
| from sqlalchemy.engine import create_engine | |
| from sqlalchemy.schema import MetaData | |
| from sqlacodegen.codegen import CodeGenerator | |
| url = 'mysql+pymysql://user:password@localhost/dbname' | |
| engine = create_engine(url) | |
| metadata = MetaData(engine) | |
| metadata.reflect(engine) |
| # https://www.acmicpc.net/problem/16283 | |
| def solution(a, b, n, w): | |
| no_result = '-1' | |
| if a == b: | |
| if a + b == w and n == 2: | |
| return '1 1' | |
| else: | |
| return no_result |
| import cv2 # pip install opencv-python | |
| def find_contained_image(image_path, target_path, min_accuracy=0.8): | |
| img = cv2.imread(image_path, 0) | |
| template = cv2.imread(target_path, 0) | |
| w, h = template.shape[::-1] | |
| res = cv2.matchTemplate(img, template, cv2.TM_CCOEFF_NORMED) | |
| min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res) | |
| top_left = max_loc |
| import asyncio | |
| import re | |
| from asyncio.streams import StreamReader, StreamWriter | |
| from contextlib import closing | |
| from typing import Tuple, Optional | |
| import async_timeout | |
| StreamPair = Tuple[StreamReader, StreamWriter] |
| import asyncio | |
| import datetime | |
| import zmq | |
| import zmq.asyncio | |
| context = zmq.asyncio.Context() | |
| async def run_server(host, port): |
| package main | |
| import ( | |
| "context" | |
| "net/http" | |
| "time" | |
| ) | |
| func main() { | |
| ctx := context.Background() |
