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# Declaration
mass = [];

def check_num num
	raise(ArgumentError, "Put Numbers only")  if /[[:alpha:]]/.match(num)
end

# Enter mass
puts "enter kyat, pyel, ywey with coma seperated value. 'x,y,z' "
input = gets

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console.log(Array.apply(null, Array(1000)).map((_, i)=>i+1).filter(v=> v%5==0||v%3==0).reduce((a,b)=>a+b));

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var input = process.argv[2];
var DayDict = {'sun':6,'mon':15,'tue':8,'wed':17,'thu':19,'fri':21,'yar':12};
console.log((input in DayDict)? DayDict[input]*3-3:'invalid input');

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var website = "http://shiroyukitranslations.com/lls-chapter-";

// <a href="http://shiroyukitranslations.com/long-live-summons/#tabs_desc_8329_4">Team</a>

var fs = require('fs');

var stream = fs.createWriteStream("my_file.txt");
stream.once('open', function(fd) {
  for(i=1; i<465; i++) {

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var devices = db.getCollection('devices').aggregate([
    { "$group" : {_id:"$something" } }
]);

var batch = devices._batch;    
    
for(i=0; i<=batch.length; i++) {
    if (batch[i]) {
       if (batch[i]._id) {
           if (typeof(batch[i]._id) == 'number') {

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 <?php

class Dog{

  public function __call($_,Array $arguments)
  {
      echo $arguments[0];
  }

}

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      mergeObject: (obj1 = {}, obj2 = {}) => {
        
       let ObjArray =  [obj1,obj2];
       let key1 =  Object.keys(obj1);
       let key2 =  Object.keys(obj2);
       let unionKeys =  [...new Set([...key1 ,...key2])];
       let ignore    = new Set(['createdAt','updatedAt','updated_at','_id']); 
       let result = {}; 
       let keysMap = new Map();
       unionKeys =  new Set([...unionKeys].filter(x => !ignore.has(x)));

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Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

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import requests
import json

url = "http://139.59.234.141:6000/beacon"

payload = json.dumps({
  "timestamp": 1628151498,
  "datetime": "05-Aug-2021 15:18:18",
  "riderdome_device_id": "1423219059433",
  "ride_id": 3,