ealvesss

(async function iife() {
    // This is the time delay after which the "unsubscribe" button is "clicked"; Tweak to your liking!
    var UNSUBSCRIBE_DELAY_TIME = 2000;
  
    /**
     * Delay runner. Wraps setTimeout so it can be awaited on.
     * @param {number} delay
     */
    var wait = (delay) => new Promise((resolve) => setTimeout(resolve, delay));
  

ealvesss

Tapo Smart Hub

This integration is part of HACS store

Running docker image

ealvesss

{
  "data": {
    "teams": [
      {
        "teams": [],
        "id": "69557888-644b-4394-8dbd-178bb1ac928a",
        "cpf": null,
        "birthday": null,
        "cellphone": "11198189189",
        "dialog": null,

ealvesss

---
import Layout from "../layouts/Layout.astro";
import Card from "../components/Card.astro";
---

		<script
    type="text/javascript"
    src="https://integrations.memed.com.br/modulos/plataforma.sinapse-prescricao/build/sinapse-prescricao.min.js"
    data-token="eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.WzQ3MzQ2LCJkMzNmOWQ4NjNhOTI3NTdiNmFjNmRhY2JmYzNiNDhmNSIsIjIwMjMtMDMtMzAiLCJzaW5hcHNlLnByZXNjcmljYW8iLCJwYXJ0bmVyLjMuNDI2MjMiXQ.jD3WEaAiCS1wiS7KFftzW1afxJAE6YekK1EmTMF2CHI">

ealvesss

### Para criar um script em Python que analise as possibilidades de vitória no futebol utilizando as APIs do site Betfair.com, você precisará seguir estas etapas:

- Crie uma conta no Betfair e obtenha uma chave de API.
- Instale as bibliotecas necessárias (requests e pandas, por exemplo).
- Faça solicitações à API para obter dados das partidas e das probabilidades.
- Analise os dados e calcule as possibilidades de vitória.
- Aqui está um exemplo básico de script para você começar:


import requests

ealvesss

create function export_lime_data() returns trigger
    language plpgsql
as
$$
    DECLARE v_sid		        INT;
            v_gid		        INT;
            v_qid		        INT;
            v_type		        VARCHAR(1);
            v_title		        VARCHAR(10);
            v_question		    VARCHAR(500);

ealvesss

-- author: elton alves
-- email: eltim.alves@gmail.com
-- date: 14-12-2022
-----------------------------------------------------------------------------------
-- you sould change some parts to fit to your spectations, any question email me! -
-----------------------------------------------------------------------------------
drop function if exists lime.export_limesurvey_data(integer);

create function lime.export_limesurvey_data(p_surveyid integer)
    returns TABLE(

ealvesss

npm info run node-sass@4.14.1 postinstall { code: 1, signal: null }
npm timing reify:rollback:createSparse Completed in 8738ms
npm timing reify:rollback:retireShallow Completed in 0ms
npm timing command:i Completed in 97033ms
npm verb stack Error: command failed
npm verb stack     at ChildProcess.<anonymous> (/Users/ealves/.nvm/versions/node/v16.15.1/lib/node_modules/npm/node_modules/@npmcli/promise-spawn/lib/index.js:63:27)
npm verb stack     at ChildProcess.emit (node:events:527:28)
npm verb stack     at maybeClose (node:internal/child_process:1092:16)
npm verb stack     at Socket.<anonymous> (node:internal/child_process:451:11)
npm verb stack     at Socket.emit (node:events:527:28)

ealvesss

using System;
using System.Buffers;
using System.ComponentModel.Design;
using System.IO;
using System.IO.Pipelines;
using System.Text;
using System.Threading.Tasks;
using iot.project.domain.entities;

namespace iot.project.service.Util

ealvesss

Future<void> sendMessage({required String accountSid, required String authToken, required String sidConversation, required String message})async{
    
    var cred = '$accountSid:$authToken';
    var bytes = utf8.encode(cred);    
    var base64Str = base64.encode(bytes);

    String url = 'https://conversations.twilio.com/v1/Conversations/CH1007ef70dfbb43b0a4fbb84d5484cb64/Messages';

    var response = await http.post(Uri.parse(url),
    headers: {