PhanDuc

def hide_comment(webhook_comment_callback):    
    page_access_token = ""
    base = "https://graph.facebook.com/v2.8"
    node = "/%s" % webhook_comment_callback['value']['comment_id']
    fields = "?is_hidden=true"
    parameters = "&access_token=%s" % page_access_token
    url = base + node + fields + parameters
    print("URL : ", url)
    req = urllib.request.Request(url)
    success = False

PhanDuc

Internal Server Error: /fb_webhooks/d1a0311fe8b709a5cb027ae2567a692712fad78702d6b78b5a/
Traceback (most recent call last):
  File "C:\Python34\lib\site-packages\django\core\handlers\exception.py", line 39, in inner
    response = get_response(request)
  File "C:\Python34\lib\site-packages\django\core\handlers\base.py", line 249, in _legacy_get_response
    response = self._get_response(request)
  File "C:\Python34\lib\site-packages\django\core\handlers\base.py", line 187, in _get_response
    response = self.process_exception_by_middleware(e, request)
  File "C:\Python34\lib\site-packages\django\core\handlers\base.py", line 185, in _get_response
    response = wrapped_callback(request, *callback_args, **callback_kwargs)

PhanDuc

improt pandas as pd
pd.set_option("display.width", 320)

PhanDuc

import selenium
import time
from selenium import webdriver

browser = webdriver.PhantomJS("phantomjs")
browser.get("https://twitter.com/StackStatus")
print browser.title

pause = 3

PhanDuc

from bs4 import BeautifulSoup
import requests
import re
import csv
import pickle


id_data_list = []
data_csv = []
csv_columns = ['Name','FB ID']

PhanDuc

from bs4 import BeautifulSoup
import requests
import re
import csv
import pickle

from gevent.pool import Pool

id_data_list = []
data_csv = []

PhanDuc

'use strict';

const apiai = require('apiai');
const config = require('./config');
const express = require('express');
const crypto = require('crypto');
const bodyParser = require('body-parser');
const request = require('request');
const app = express();
const uuid = require('uuid');

PhanDuc

import pandas as pd

df = pd.read_excel('D:\\BILL THÁNG 1.xlsx')
du = df.ix[:, 4]
temp_list = []
for cell in du:
    try:
        ed = ''.join(cell.split(',')[-1])
        print(ed)
        temp_list.append(ed)

PhanDuc

import numpy as np
import scipy as sp
from numpy import random
from numpy import matlib
import matplotlib.pyplot as plt
from gurobipy import GRB
import gurobipy as grb


class Problem:

PhanDuc

def nearest_neighbours(X, Y, norm=2.0):
    """Index the rows of `Y` in increasing order of distance from each row in `X`.

    Parameters
    ----------
    X : array, 2 dimensional, shape = (n_samples, n_dim)
        The matrix, for the rows of which to find the closest row in `Y`.

    Y : array, 2 dimensional, shape = (n_reference, n_dim)
        The matrix, among the rows of which to seek the closest one for `X`.