nfmcclure

import json
import time
import requests
from bs4 import BeautifulSoup


def main():
    # ????? UNSURE where to use these two options!!
    opts = ['B22', 'BM22']

nfmcclure

import requests

cities = ['Las Vegas, NV, US', 'Paris', 'Tokyo, CN']
api_url = 'https://accommodations.booking.com/autocomplete.json'

referer = 'https://www.booking.com/searchresults.html?aid=355028&sid=1c4689c64a9440a81fb0d7ae95196127&sb=1&sb_lp=1&src=index&src_elem=sb&error_url=https%3A%2F%2Fwww.booking.com%2Findex.html%3Faid%3D355028%3Bsid%3D1c4689c64a9440a81fb0d7ae95196127%3Bsb_price_type%3Dtotal%26%3B&ss=Las+Vegas&is_ski_area=0&ssne=Las+Vegas&ssne_untouched=Las+Vegas&dest_id=20079110&dest_type=city&checkin_year=&checkin_month=&checkout_year=&checkout_month=&group_adults=2&group_children=0&no_rooms=1&b_h4u_keep_filters=&from_sf=1'

header = {
             'Accept': '*/*',
             'Accept-Encoding': 'gzip, deflate, br',

nfmcclure

import numpy as np
import tensorflow as tf

# Create graph
sess = tf.Session()

# Create data
x_vals = np.concatenate((np.random.normal(-1, 1, 50), np.random.normal(1, 1, 50)))
y_vals = np.concatenate((np.repeat(0, 50), np.repeat(1, 50)))
x_data = tf.placeholder(shape=[1], dtype=tf.float32)