erose

require 'cgi'
require 'json'
require 'active_support'
require 'application_config'

def verify_and_decrypt_session_cookie(cookie, secret_key_base)
  cookie = CGI::unescape(cookie)
  salt = ApplicationConfig.get.action_dispatch.encrypted_cookie_salt
  signed_salt = ApplicationConfig.get.action_dispatch.encrypted_signed_cookie_salt
  key_generator = ActiveSupport::KeyGenerator.new(secret_key_base, iterations: 1000)

erose

import Adapter from "ember-data/adapters/json-api";

export default Adapter.extend();

erose

import Ember from 'ember';

export default Ember.Controller.extend({
  
  items: [
    {time: moment()},
    {time: moment().subtract(1, 'day')},
  ],
  sortProperties: ['time'],
  sortedItems: Ember.computed.sort('items', 'sortProperties'),

erose

from typing import *
import sys
import re

def differentiate(expression: List[str], with_respect_to: str) -> List[str]:
  # We do the differentiation in one pass, then simplify the result.
  first_pass = [_differentiate_single_term(t, with_respect_to) for t in expression]
  simplified = _simplify_expression(first_pass)

  return simplified

erose

-- Inspired by https://aphyr.com/posts/342-typing-the-technical-interview and
-- https://wiki.haskell.org/wikiupload/d/dd/TMR-Issue8.pdf. See the latter for a well-paced
-- introduction to what's going on in general.

-- Allows one type parameter to a class to be fully determined by the type of another.
{-# LANGUAGE FunctionalDependencies #-}

-- The head of an instance declaration may mention arbitrary nested types.
{-# LANGUAGE FlexibleInstances #-}

erose

Bold is me. Everything else is the AI. This is from AI Dungeon with the Dragon model in Story mode.

---

You are talking to GPT-2, an AI designed to write Javascript. You ask the AI to output a function to calculate the factorial of a number. It outputs:

function factorial(n) { return n * (1 + x^n); }

You say: "No, that's not right. You should use a loop."

erose

# A solution to "how do I sort by average rating, while taking into account the fact that some things have more ratings than others and this provides more Bayesian evidence about their quality? See https://www.evanmiller.org/how-not-to-sort-by-average-rating.html

def ci_lower_bound(pos, n)
    if n == 0
        return 0
    end
    z = 1.96 # hardcoded confidence level of 0.95
    phat = 1.0*pos/n

    midpoint = phat + z*z/(2*n)