mfontanini

// Base code taken from 
// https://github.com/mfontanini/Programs-Scripts/blob/master/constexpr_hashes/md5.h 
// and expanded to include a main function

#ifndef CONSTEXPR_HASH_MD5_H
#define CONSTEXPR_HASH_MD5_H

#include <array>
#include <iostream>
#include <cstdint>

ahromis

version: '2'
services:
    postgres:
      image: postgres:9.5
      restart: always
      environment:
       - "POSTGRES_USER=${POSTGRES_USER}"
       - "POSTGRES_PASSWORD=${POSTGRES_PASSWORD}"
       - "POSTGRES_DB=gogs"
      volumes:

maxtruxa

# output binary
BIN := test

# source files
SRCS := \
    test.cpp

# files included in the tarball generated by 'make dist' (e.g. add LICENSE file)
DISTFILES := $(BIN)

tomykaira

#ifndef _MACARON_BASE64_H_
#define _MACARON_BASE64_H_

/**
 * The MIT License (MIT)
 * Copyright (c) 2016-2024 tomykaira
 *
 * Permission is hereby granted, free of charge, to any person obtaining
 * a copy of this software and associated documentation files (the
 * "Software"), to deal in the Software without restriction, including

elico

package main

import (
	"fmt"
	"io"
	"net"
	"time"
)

func main() {

willshiao

package main

import (
	"crypto/aes"
	"crypto/cipher"
	"crypto/rand"
	"crypto/sha256"
	"encoding/base64"
	"fmt"
	"io"

zhiqiang21

移动端H5图片压缩上传

大体的思路是，部分API的兼容性请参照caniuse：

1. 利用FileReader,读取blob对象,或者是file对象，将图片转化为data uri的形式。
2. 使用canvas,在页面上新建一个画布,利用canvas提供的API,将图片画入这个画布当中。
3. 利用canvas.toDataURL()，进行图片的压缩，得到图片的data uri的值
4. 上传文件。

步骤1当中，在进行图片压缩前，还是对图片大小做了判断的，如果图片大小大于200KB时，是直接进行图片上传，不进行图片的压缩，如果图片的大小是大于200KB，则是先进行图片的压缩再上传:

Warchant

version: "3"

services:
  sonarqube:
    image: sonarqube
    expose:
      - 9000
    ports:
      - "127.0.0.1:9000:9000"
    networks:

knqyf263

func TestRedis(t *testing.T) {
	s, _ := testutil.PrepareTestRedis()
	for i := 0; i < 10000; i++ {
		s.Set("key"+strconv.Itoa(i), "hoge"+strconv.Itoa(i))
	}
	client := redis.NewClient(&redis.Options{Addr: s.Addr()})

	// 普通にループ
	result := map[string]string{}
	for i := 0; i < 10000; i++ {

markheath

version: '2.2'
services:
  elasticsearch:
    image: docker.elastic.co/elasticsearch/elasticsearch:6.4.1
    container_name: elasticsearch
    environment:
      - cluster.name=docker-cluster
      - bootstrap.memory_lock=true
      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
    ulimits: