cyk1337

#!/usr/bin/env python

# -*- encoding: utf-8

'''
    _____.___._______________  __.____ __________    _________   ___ ___    _____  .___ 
    \__  |   |\_   _____/    |/ _|    |   \      \   \_   ___ \ /   |   \  /  _  \ |   |
     /   |   | |    __)_|      < |    |   /   |   \  /    \  \//    ~    \/  /_\  \|   |
     \____   | |        \    |  \|    |  /    |    \ \     \___\    Y    /    |    \   |
     / ______|/_______  /____|__ \______/\____|__  /  \______  /\___|_  /\____|__  /___|

cyk1337

#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
_____.___._______________  __.____ __________    _________   ___ ___    _____  .___ 
\__  |   |\_   _____/    |/ _|    |   \      \   \_   ___ \ /   |   \  /  _  \ |   |
 /   |   | |    __)_|      < |    |   /   |   \  /    \  \//    ~    \/  /_\  \|   |
 \____   | |        \    |  \|    |  /    |    \ \     \___\    Y    /    |    \   |
 / ______|/_______  /____|__ \______/\____|__  /  \______  /\___|_  /\____|__  /___|
 \/               \/        \/               \/          \/       \/         \/     
 

cyk1337

/afs/inf.ed.ac.uk/user/s17/s1718204/miniconda3/envs/mtenv/bin/python3.4 /afs/inf.ed.ac.uk/user/s17/s1718204/PycharmProjects/MT_2/INFR11062/nmt_translate.py
Japanese English dataset configuration
vocab size, en=3713, fr=3949
--------------------------------------------------
Training progress will be logged in:
	model/train_10000sen_2-3layers_100units_ja_en_exp1_NO_ATTN.log
--------------------------------------------------
Trained model will be saved as:
	model/seq2seq_10000sen_2-3layers_100units_ja_en_exp1_NO_ATTN.model
--------------------------------------------------

cyk1337

/afs/inf.ed.ac.uk/user/s17/s1718204/miniconda3/envs/mtenv/bin/python3.4 /afs/inf.ed.ac.uk/user/s17/s1718204/PycharmProjects/MT/MT/nmt_translate.py
Japanese English dataset configuration
vocab size, en=3713, fr=3949
--------------------------------------------------
Training progress will be logged in:
	model/train_10000sen_2-3layers_100units_ja_en_exp1_NO_ATTN.log
--------------------------------------------------
Trained model will be saved as:
	model/seq2seq_10000sen_2-3layers_100units_ja_en_exp1_NO_ATTN.model
--------------------------------------------------

cyk1337

# -*- coding:utf-8 -*-
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import time


def sd_login_and_search(entry_url, username, password ):

cyk1337

#-*- coding: utf-8 -*-
import os

#de-repeat and return a non-repeated list
def de_repeat(filename):
    li=[]
    if os.path.isfile(filename):
        try:
            with open(filename) as f:
                for line in f:

cyk1337

import os


def de_repeat(filename):
    li=[]
    if os.path.isfile(filename):
        try:
            with open(filename) as f:
                for line in f:
                    l=line.lstrip()

cyk1337

import os

#count line number of a file 
def count_txt_line(filename):
    try:
        with open(filename) as f:
            count=len(f.readlines())
    except IOError as e:
        print e
    return count

cyk1337

import urllib2,os
from bs4 import BeautifulSoup
import requests

def download_img(url):
   
    headers={
        'Cookie':'_yasi_website_session=NE5pZU1zdEwySVlzUzRaOVl3eUNTTitQNE05eTcwdjUvNHBXbUJiNGt6QVVpOEV1UTlhMWR6aGZKVzlYVm10VTdWd2ZKOUtDTVhLeEIrOEd3ZUlocWhtLzcyb05TaHp1dVlCak11bW5wby9aWVBQSzZvNCtraHZ6ZGkzRTI4cUxtbTN5cXpqWlp2dXNVRytTZDhXRUU1QkhFSFpWTjdkNmY3UlpOZkw4VUdGb2lmVnJoUTBxa0RSV3ZlWHBjbGY4bUF6TzdwZVVyNnZKSUdvNklFbkkzYXAvdFl3TGNTUFluYWtsUEEzWjZRbExwZ3FORXV1QnNOYlpNVzRWNmpIUDdJR2tjUTVxVG9xTGdUZVhOWVBpdklDUXRhamNqOEJzWlAzblJkUDVsMThieDdueTEwbHhhMHNGcUo2dnBHREhVcm9mcld5OU9EOG03MTlMUG9FWXp3PT0tLXVJTHVvcmVrSk9VendEOVBtaGxKWGc9PQ%3D%3D--9462f8c529da941685976ccf6235f2bceda22298; CNZZDATA1260900061=1970134767-1488189272-%7C1488194905',
        'Host':'ieltsbro.com',
        'If-Modified-Since':'Mon, 09 Jan 2017 10:00:42 GMT',

cyk1337

import os

paperDir="C:\\Users\\%yourPCname%\\AppData\\Local\Packages\\Microsoft.Windows.ContentDeliveryManager_cw5n1h2txyewy\\LocalState\\Assets\\"

desPath='C:\\Users\\%yourPCname%\\Pictures\\'
if not os.path.exists(desPath):
    os.mkdir(desPath)
os.system('cp -r '+paperDir+' '+desPath)

countAll=0