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function deletePopup() {
  // check if the backdrop exists
  var dialogBox = document.getElementsByClassName("gwt-DialogBox");
  if (dialogBox.length != 0) {
    dialogBox = dialogBox[0];
    // if backdrop exists, check if message matches "have you spoken..."
    caption = dialogBox.getElementsByClassName("Caption")[0].innerHTML;
    if (caption == "Have You Spoken to Your Advisor?") {
      // remove!!!!!!!!
      dialogBox.parentNode.removeChild(dialogBox);

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{
  "name": "ISpokeToMyAdvisor",
  "version": "1.0",
  "description": "Hide the \"Have you spoken to your advisor?\" message on SIO.",
  "permissions": ["activeTab"],
  "content_scripts": [
    {
      "matches": ["https://s3.andrew.cmu.edu/*"],
      "js": ["deleter.js"]
    }

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const assert = require('assert');
const Pool = require('pg').Pool;

const pool = new Pool({
  user: 'me',
  host: 'localhost',
  database: 'urlmem',
  password: 'password',
  port: 5432,
});

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/*
 * Create a shortening and return the shorturl if successful. Returns null if
 * the shorturl already exists and is not the requested shortening, or if the
 * longurl already has a random shortening and this shortening is also random.
 *
 * May throw other db errors.
 */
const addShortening = async (shortUrl, longUrl, isRandom) => {
  let addShorteningQuery = 'INSERT INTO shortenings (shorturl, longurl, israndom) VALUES ($1, $2, $3)';

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def create_stylized_image(decoder, content_features, style_features):
    stylized_content_features = adain(content_features[-1], style_features[-1])
    stylized_image = decoder(stylized_content_features)

    return stylized_image, stylized_content_features

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def get_batch_style_transfer_loss(encoder, decoder, style_image, content_image):
    style_features = encoder(style_image)
    content_features = encoder(content_image)

    stylized_image, stylized_features = create_stylized_image(decoder, content_features, style_features)

    features_of_stylized = encoder(stylized_image)

    style_loss = compute_style_loss(features_of_stylized, style_features)
    content_loss = compute_content_loss(features_of_stylized, stylized_features)

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from selenium.webdriver.support import expected_conditions as EC
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait

def login_to_autolab(wd, username, password):
    wd.get("https://autolab.andrew.cmu.edu")

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class IterableStyleTransferDataset(IterableDataset):
    def __init__(self, coco_path, coco_annotations, \
                 wiki_path, length = 100000, transform = None, rng_seed = 1, exclude_style = False):

        self.wiki = ImageFolder(wiki_path, transform = transform)
        self.coco = CocoCaptions(coco_path, coco_annotations, transform = transform)
        self.length = length
        self.exclude_style = exclude_style

        self.seed = rng_seed

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def get_transforms(crop):
    if crop:
        return Compose([Resize(512), RandomCrop(256), ToTensor()])
    return Compose([Resize((256, 256)), ToTensor()])

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def main():
    transforms = get_transforms()
    dataset = StyleTransferDataset("datasets/coco/train2017",  "datasets/coco/annotations/captions_train2017.json", "datasets/wikiart", transform = transforms)
    print(f"Dataset length: {len(dataset)}, Wiki length: {len(dataset.wiki)}, COCO length: {len(dataset.coco)}")

    content, style = dataset[0]
    print(f"1st content img: {type(content)}, {content.shape}")
    print(f"1st style img: {type(style)}, {style.shape}")