MSVCode

import 'package:flutter/services.dart';

Future<String> saveFile(String mime, String name, String data) async {
  const platform =
      MethodChannel("com.msvcode.filesaver/save"); //unique channel identifier
  try {
    final result = await platform.invokeMethod("saveFile", {
      "mime": mime,
      "name": name,
      "data": data,

MSVCode

// Written by MSVCode on GitHub
// Based on https://www.qrcode.com/en/about/version.html
// Array of Map, example code compatible with JS, TS, and Dart.

const qrBits = [
  {"L":152, "M":128, "Q":104, "H":72}, //1
  {"L":272, "M":224, "Q":176, "H":128},
  {"L":440, "M":352, "Q":272, "H":208},
  {"L":640, "M":512, "Q":384, "H":288},
  {"L":864, "M":688, "Q":496, "H":368}, //5

MSVCode

const google = require('googleapis');
const customsearch = google.customsearch('v1');
const CX = 'your_custom_search_engine_key'; //https://cse.google.com/
const API_KEY = 'your_cse_api_key'; //https://developers.google.com/custom-search/json-api/v1/overview

function runSearchQuery(query, startFrom){
    return new Promise(function(resolve,reject){
        customsearch.cse.list({ cx: CX, q: query, auth: API_KEY, start:startFrom}, function (error, response) {
            if (error) reject(error);
            resolve(response.items);