Mr. Rosario soltrinox

The Cynic's Book of Wisdom:

Never discount the possibility you might live through it.
In the end you, you are the only answer to the question: What to do?
Sometimes you get a miracle. Don't expect another one.
Before declaring victory over your opponent, make sure you are playing the same game.
Sometimes the crazy person is right.
Nothing is so destructive as what we believe to be true.
The past is always waiting.
You are in more danger from the other person's God than your own.

Color Text Bash

https://misc.flogisoft.com/bash/tip_colors_and_formatting

https://app.monosketch.io/

{"root":{"i":"02-AA82jhUlVl_lYAUgDoWq7rg-l2c","v":451245924,"ss":[{"type":"T","i":"02-AA0BnhUgRReYj8Xk_xQZTJSIgaO","v":1137159506,"b":"0|0|9|4","t":"ABCDEFG123","e":{"be":{"fe":false,"fu":"F1","be":true,"bu":"S3","du":"1|0|0","rc":"NNNN"},"tha":1,"tva":1}},{"type":"T","i":"02-AAKuHiUHPuQjb115E70bSjppxla","v":43213769,"b":"8|0|9|4","t":"HIJKLM!45*","e":{"be":{"fe":false,"fu":"F1","be":true,"bu":"S3","du":"1|0|0","rc":"NNNN"},"tha":1,"tva":1}},{"type":"T","i":"02-AADnJiUB-pftBeOdyGLBlX0cw_d","v":-2091017348,"b":"0|3|9|4","t":"NOPQRST678","e":{"be":{"fe":false,"fu":"F1","be":true,"bu":"S3","du":"1|0|0","rc":"NNNN"},"tha":1,"tva":1}},{"type":"T","i":"02-AAVgNiUggLc9eBQLBbJMRJJJ8nU","v":-1828829421,"b":"8|3|9|4","t":"UVWXYZ?90#","e":{"be":{"fe":false,"fu":"F1","be":true,"bu":"S3","du":"1|0|0","rc":"NNNN"},"tha":1,"tva":1}}]},"extra":{"name":"Undefined"},"version":1,"modified_timestamp_millis":16882670966

Problem

A lot of GitHub projects need to have pretty math formulas in READMEs, wikis or other markdown pages. The desired approach would be to just write inline LaTeX-style formulas like this:

$e^{i \pi} = -1$

Unfortunately, GitHub does not support inline formulas. The issue is tracked here.

Investigation

MATH LATEX GENERATION

https://latex.codecogs.com/eqneditor/editor.php

$$\sum_{x\rightarrow \infty }^{1}{\color{Red} \in }\int_{x}^{-1}\cdot \begin{bmatrix} x^1+y^2+z^3\ \end{bmatrix}$$

$$R = \left[\left(x,w\right):x \in {\mathcal{L}},w \in W\left(x\right)\right]$$

COMMAND : write the swiftui code to connect to a secure REST service and upgrade to a secure websocket if available

Here's an example of how to use SwiftUI to connect to a secure REST service and upgrade to a secure WebSocket if available using URLSession and URLSessionWebSocketTask:

import SwiftUI
import Combine

class DataService: ObservableObject {

USING Rakuten Ichiba API JAPAN

https://webservice.rakuten.co.jp/explorer/api/Product/Search

var RAKUTEN_SEARCH  = "https://app.rakuten.co.jp/services/api/IchibaItem/Search/20220601?format=json&keyword=%E6%A5%BD%E5%A4%A9&genreId=100371&applicationId=e06e2a5afcf14b52139c1fb6c58e9dbc"
var respObj =

How to use Nginx as a Reverse proxy for HTTPS and WSS - Self Signed Certificates and Trusted Certificates

FrdS > credit...

Introduction

Nginx is a web server, also works as a load balancer, and may help us a lot in security and routing terms, because when deploying our applications to a production environment, we don’t want to put ports on the url, and also the dns has to look like clean to our users, also for security reasons, we don’t want to show the port explicitly where the service is being run. Also, I decided to make this tutorial, because I was working on a cryptocurrency exchange platform in a freelancing job, and the frontend communicates with the relayer(backend that receives the user order's for exchanging Tokens/Crypto) by HTTPS and WSS. The HTTP it was for the general APIs and for posting new buy/sell orders, and the Websockets was for making a full-duplex communication for near realtime u

	const β = require('bignumber.js');

	function Ω(a, m) {
	const b = new β(a).mod(m);
	for (let x = new β(1); x.lt(m); x = x.plus(1)) {
	if (b.times(x).mod(m).eq(1)) {
	return x;
	}
	}
	return new β(1);

	upstream websocket {
	server localhost:3000;
	}

	server {
	listen 80;
	server_name localhost;

	access_log /var/log/nginx/websocket.access.log main;

	from algoliasearch import algoliasearch
	import pymongo
	from pymongo import MongoClient
	import json

	client = algoliasearch.Client("Your_Application_ID", 'Your_API_Key')
	index = client.init_index('Experiment_1')

	MONGODB_URL1 = 'Your_MongoDB_Connection_String'
	def move_collection(from_collection):