toaco

import arrow


def diff_month(d1, d2):
    return (d1.year - d2.year) * 12 + d1.month - d2.month


def calc_deadline(start_date, period):
    date = arrow.get(start_date)
    now = arrow.get()

toaco

统计机器翻译（英语：Statistical Machine Translation，简写为SMT）是机器翻译的一种，基本思想是通过对大量的平行语料进行统计分析，构建模型，进而使用此模型进行翻译。

所谓的平行语料就是表达同一个意思的不同语言的句子，如：

這是一個蘋果。
This is an apple.

桌上有一本書。
There is a book on the table．

toaco

import datetime

import redis


class DictStack(object):
    def __init__(self, key_name, redis_option):
        self._db = redis.StrictRedis(**redis_option)

        self._key_name = key_name

toaco

import copy

import types


def shield_sensitive(obj, *args):
    """
    replace all sensitive value  to `******`, according to instance attribute or dict key.
    """
    try:

toaco

# list all resource requested by a request
from ghost import Ghost

ghost = Ghost()


def get_all_resources(url):
    with ghost.start() as session:
        page, extra_resources = session.open(url)
        for extra_resource in extra_resources:

toaco

# 参考链接: http://stackoverflow.com/questions/101128/how-do-i-read-text-from-the-windows-clipboard-from-python
import win32clipboard

win32clipboard.OpenClipboard()
for i in range(0XFFFF):
    try:
        data = win32clipboard.GetClipboardData(i)
        print("Clipboard Formats Value: {}(HEX:{:X})".format(i, i))
        print("ClipboardDate:\n{}".format(repr(data)))
        print("------------------------------------------------------------------------")