Uri Gilad antishok

Before using the Scenaric Salesforce app, the administrator must authorize use of the app for certain profiles, users, or permission sets.

To achieve this, we recommend the following steps:

In Setup, go to Manage Apps -> Connected Apps
Click "Edit" next to "ScenaricCanvas" app
Change the "Permitted Users" setting to "Admin approved users are pre-authorized"
Ignore the warning, then click Save
Click the ScenaricCanvas app, then scroll down and click "Manage Profiles"
Select for example "System Administrator" and "Standard User", and click Save

	const { ContextMenuCommandBuilder } = require('@discordjs/builders');
	const { REST } = require('@discordjs/rest');
	const { Routes, ApplicationCommandType } = require('discord-api-types/v9');
	const config = require('./config/local.json');

	const commands = [
	new ContextMenuCommandBuilder()
	.setName('Is user online?')
	.setType(ApplicationCommandType.Message),
	]

	import React, { useRef, useState, useEffect } from 'react';
	import classNames from 'classnames';

	import { useFeedContext, useTranslationContext, Textarea, Button, Avatar } from 'react-activity-feed';

	export const CommentReplyField = ({
	comment,
	emojiData,
	onSuccess,
	image,

	const config = require('../config');

	async function ajax(path, data, {timeout} = {}) {
	const opts = {
	method: data ? 'POST' : 'GET',
	headers: {
	'Accept': 'application/json',
	'Content-Type': 'application/json'
	},
	credentials: 'same-origin'

	const path = require('path');
	const express = require('express');
	const expressWs = require('express-ws');
	const bodyParser = require('body-parser');
	const expressSession = require('express-session');
	const KnexSessionStore = require('connect-session-knex')(expressSession);
	const passport = require('passport');

	const app = express();

	import numpy as np
	import sys

	from keras.models import Model
	from keras.layers import Input, Dense, Activation, Embedding, LSTM, RepeatVector
	from keras.layers.normalization import BatchNormalization
	from keras.layers.wrappers import TimeDistributed
	from keras.preprocessing.text import Tokenizer
	from keras.preprocessing.sequence import pad_sequences
	from keras import optimizers

	tls [email protected] {
	protocols tls1.0 tls1.3
	ciphers ECDHE-RSA-AES128-GCM-SHA256 ECDHE-ECDSA-WITH-CHACHA20-POLY1305 ECDHE-ECDSA-AES128-GCM-SHA256 ECDHE-ECDSA-AES256-GCM-SHA384 ECDHE-ECDSA-AES128-CBC-SHA ECDHE-ECDSA-AES256-CBC-SHA ECDHE-RSA-AES256-CBC-SHA
	}

	import numpy as np
	import sys

	from keras.models import Sequential
	from keras.layers import Dense, LSTM, Embedding, Activation
	from keras.layers.wrappers import TimeDistributed
	from keras import backend as K

	from utils import Data, weighted_sample