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These two files should help you to import passwords from mac OS X keychains to 1password.

Assumptions:
1) You have some experience with scripting/are a power-user. These scripts worked for me
   but they haven't been extensively tested and if they don't work, you're on your own!
   Please read this whole document before starting this process. If any of it seems
   incomprehensible/frightening/over your head please do not use these scripts. You will
   probably do something Very Bad and I wouldn't want that.
2) You have ruby 1.9.2 installed on your machine. This comes as standard with Lion, previous
   versions of OS X may have earlier versions of ruby, which *may* work, but then again, they

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#!/usr/bin/env python

import shutil, os, sys

# current working directory
dest_dir = os.getcwd()

dir = []
for root, dirs, files in os.walk(dest_dir):
    for name in files:

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from multiprocessing import Pool, Manager
import yaml
import re
import math
from count import Count
from statistic import MI, LogLikelihood
import jieba

n_workers = 16

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#!/usr/bin/env python3

import os, argparse, logging
# get cpu cores
import multiprocessing
# doc2vec
from gensim.models import Doc2Vec
from gensim.models.doc2vec import LabeledSentence
from gensim import utils
# array storage

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#!/usr/bin/env python3

import requests, json, sys, random
from html.parser import HTMLParser
from time import sleep
from tqdm import tqdm

import cProfile

url = 'http://words.sinica.edu.tw/ftms-bin/scripts/words_scripts/zizi1.pl'

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from gensim.models.doc2vec import Doc2Vec
from gensim.test.test_doc2vec import ConcatenatedDoc2Vec
from sklearn.linear_model import LogisticRegression, SGDClassifier, LogisticRegressionCV
from sklearn import svm
from sklearn.externals import joblib
import jieba
import numpy as np
import logging
import os
import sys

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#!/usr/bin/env python3

import os, sys, argparse, logging

baseline = '/tmp2/b03902036/train-punc.pro'
result = '/tmp2/b03902036/result.cmb'

ground_truth = dict()
with open(baseline, 'r') as in_file :
    for line in in_file :

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#!/usr/bin/env python3

import os, argparse, logging
# using doc2vec model
from gensim.models import Doc2Vec
# generate compressed pickle file
import pickle, numpy, gzip

logging.basicConfig(format='%(asctime)s [%(levelname)s] %(message)s')

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'''
A fork of this gist https://gist.github.com/BigglesZX/4016539 .
Ported to Python3 and verify it with Pillow.
'''

import argparse
import os
from PIL import Image

def find_dir(path):

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#!/bin/bash

echo ""
read -e -p "Target folder name: " folder

echo "Duplicate folder structure of $folder.."
if [ -d "Compressed-${folder}" ]; then
	echo ""
	read -r -p "\"Compressed-${folder}\" exist, overwrite? [y/n] " response
	if [[ $response =~ ^([yY][eE][sS]|[yY])$ ]]