nem035

import openai from '/path/to/openai';

const MAX_RETRIES_IN_CASE_UNKNOWN_ERROR = 5;

export default async function promptChatGPT(
  data,
  retriesLeft = MAX_RETRIES_IN_CASE_UNKNOWN_ERROR
) {

  const completionRequest = buildCompletionRequest(data); // <-- insert your own logic

nem035

function all(arrayOfPromises) {
  return new Promise(function (resolve, reject) {
    // initialize an array of results with length of the given array of promises
    const results = Array.from(Array(arrayOfPromises.length));

    // since all promises are started in parallel (quickly one after the other)
    // we are using a counter to keep track of when they all resolve because
    // each promise can take a different amount of time to resolve
    let resultsLeft = arrayOfPromises.length;

nem035

// ----------------------------------------------
// fake DB stuff
// ----------------------------------------------

const logger = console;

let COUNTER_UNTIL_DB_IS_A_GOOD_BOY = 3;

const fakeDb = {
  isConnected: false,

nem035

package main

import (
	"fmt"
	"math/rand"
)

type Tree struct {
	Left  *Tree
	Value int

nem035

{
  "type": "PLAYGROUND",
  "text": "`PLAYGROUND`: Run a query to generate the titles of each movie.",
  "setup_sql": "CREATE TABLE movies    (Id INTEGER, Title TEXT(19), Director TEXT(14), Year INTEGER, Length_minutes INTEGER);;INSERT INTO movies    (Id, Title, Director, Year, Length_minutes)VALUES    (1, 'Toy Story', 'John Lasseter', 1995, 81);INSERT INTO movies    (Id, Title, Director, Year, Length_minutes)VALUES    (2, 'A Bug''s Life', 'John Lasseter', 1998, 95);INSERT INTO movies    (Id, Title, Director, Year, Length_minutes)VALUES    (3, 'Toy Story 2', 'John Lasseter', 1999, 93);INSERT INTO movies    (Id, Title, Director, Year, Length_minutes)VALUES    (4, 'Monsters, Inc.', 'Pete Docter', 2001, 92);INSERT INTO movies    (Id, Title, Director, Year, Length_minutes)VALUES    (5, 'Finding Nemo', 'Andrew Stanton', 2003, 107);INSERT INTO movies    (Id, Title, Director, Year, Length_minutes)VALUES    (6, 'The Incredibles', 'Brad Bird', 2004, 116);INSERT INTO movies    (Id, Title, Director, Year, Length_minutes

nem035

import React from "react";
import ReactDOM from "react-dom";

class Async extends React.Component {
  state = { isLoading: false };

  componentDidCatch(x) {
    if (x instanceof Promise) {
      this.setState({ isLoading: true });
      x.then(() => {

nem035

let cache = new Map();
let pending = new Map();

function fetchTextSync(url) {
  if (cache.has(url)) {
    return cache.get(url);
  }
  if (pending.has(url)) {
    throw pending.get(url);
  }

nem035

jobs:
  install:
    working_directory: ~/enki-project
    docker:
      - image: circleci/node:8.10.0
    steps:
      - checkout
      - restore_cache:
          keys:
            - v1-dependencies-{{ checksum "package.json" }}

nem035

version: 2

jobs:
  build:
    working_directory: ~/enki-project
    machine: true
    environment:
      - ENKI: 'example'
    steps:
      - checkout

nem035

install:
  steps:
    - checkout
    - run:
        name: NPM Install
        command: npm install
    - persist_to_workspace:
        root: ~/my-workspace-path
        paths: ./node_modules