RenderCoder RenderCoder

代码配置

import { NativeModules, NativeEventEmitter } from 'react-native';
const bridge = NativeModules.RNDataBridge;
const bridgeEmitter = bridge ? new NativeEventEmitter(bridge) : false;
global.bridge = bridge;

接口调用

还记得 Haskell Curry吗，

多巧啊, 人家姓 Curry 名 Haskell, 难怪 Haskell 语言会自动柯里化, 呵呵. 但是不奇怪吗, 为什么要柯里化呢. 为什么如此重要导致 Haskell 会默认自动柯里化所有函数, 不就是返回一个部分配置好的函数吗.

我们来看一个 Haskell 的代码.

max 3 4
(max 3) 4

	// width
	0x3a,
	// height
	0x3a,
	// data
	0xff,0xff,0x03,0x03,0xf3,0xf3,0xf3,0xf3,
	0xf3,0xf3,0x03,0x03,0xff,0xff,0x00,0x00,
	0xc3,0xc3,0xf0,0xf0,0x33,0x33,0x0f,0x0f,
	0xc0,0xc0,0xf3,0xf3,0xc0,0xc0,0xcc,0xcc,
	0x0f,0x0f,0x00,0x00,0xf3,0xf3,0x30,0x30,

	// width
	0x1e,
	// height
	0x31,
	// data
	0xf0,0xf8,0xfc,0x1e,0x0f,0x07,0x07,0x07,
	0x07,0x07,0x07,0x07,0x07,0x07,0x07,0x07,
	0x07,0x07,0x07,0x07,0x07,0x07,0x07,0x07,
	0x07,0x0f,0x1e,0xfc,0xf8,0xf0,0xff,0xff,
	0xff,0x00,0x00,0x00,0x00,0x00,0x00,0x00,

	// width
	0x1e,
	// height
	0x31,
	// data
	0xf0,0xf8,0x1c,0x0e,0xc7,0xe3,0xf3,0xf3,
	0xf3,0xf3,0xf3,0xf3,0xf3,0xf3,0xf3,0xf3,
	0xf3,0xf3,0xf3,0xf3,0xf3,0xf3,0xf3,0xf3,
	0xe3,0xc7,0x0e,0x1c,0xf8,0xf0,0xff,0xff,
	0x00,0x00,0xff,0xff,0xff,0xff,0xff,0xff,

	{
	"ability": 0,
	"activeTime": 1743216398,
	"attribute": 549756862848,
	"attributeString": "1000000000000000000100000000000110000000",
	"baseAttribute": 1024,
	"bizAttribute": 0,
	"bv": "40.00",
	"cadv": "1.0.5",
	"capability": 1025,

	/**
	* 解析米家 IoT 平台产品功能定义为更友好的使用格式
	*/
	const fs = require('fs')
	const config = require('./config')

	String.prototype.firstUpperCase=function(){
	return this.replace(/^\S/,function(s){return s.toUpperCase();});
	}

	// ==UserScript==
	// @name 阿里云函数计算日志提取
	// @namespace http://tampermonkey.net/
	// @version 0.1
	// @description try to take over the world!
	// @author You
	// @match https://sls.console.aliyun.com/*
	// @grant none
	// ==/UserScript==

	nginx-proxy:
	image: jwilder/nginx-proxy
	ports:
	- 80:80
	- 443:443
	volumes:
	- /home/certs:/etc/nginx/certs:ro
	- /etc/nginx/vhost.d
	- /usr/share/nginx/html
	- /var/run/docker.sock:/tmp/docker.sock:ro