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#!/usr/bin/env python
# easyIMAP2Notes (C)2015 by Jan-Piet Mens
# Connect to an IMAP mailbox, read messages, and convert them into
# a format suitable for iOS/OSX Notes, then store them in Notes/
#
# This uses two connections (consider that a feature b/c you can
# slurp from one IMAP account into another). The real reason is I
# couldn't be bothered to implement message decoding/attachment
# extraction with imaplib, so I chose easyimap (pip install easyimap)
# to do that.

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#! /usr/bin/env python
""" Split a Unix-style mailbox into individual files

Written by Aquarius <[email protected]>
Usage: splitmbox.py <mailbox-file> <directory>

This will create files numbered 01,02,03... in <directory>. The
number of prefixed zeroes will make all filenames in the
directory the same length. """

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from Foundation import NSKeyedUnarchiver
from struct import unpack

# This entire function is black magic of the highest order and I'll blog about it later
def extract_share(bookmark_data):
    content_offset, = unpack('I', bookmark_data[12:16])
    first_TOC, = unpack('I', bookmark_data[content_offset:content_offset+4])
    first_TOC += content_offset
    TOC_len, rec_type, level, next_TOC, record_count = unpack('IIIII', bookmark_data[first_TOC:first_TOC+20])
    TOC_cursor = first_TOC + 20

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# Created by https://www.gitignore.io/api/c++,cmake

### C++ ###
# Prerequisites
*.d

# Compiled Object files
*.slo
*.lo

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import org.mozilla.javascript.tools.jsc.Main;

class Jsc {
  public static void main(String args[]){
    Main.main(args);
  }
}

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git fetch upstream
git reset --hard upstream/master

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// Licensed under MIT license.
// (c) Lewin Bormann 2014

# include <string>
# include <iostream>
# include <list>
# include <cstring>
# include <algorithm>

using std::string;

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import os
import sqlite3
from hashlib import md5
from time import time
import simplejson as json
from flask import Flask
from flask.ext import restful
from flask import g
from flask import request

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// data comes from here http://stat-computing.org/dataexpo/2009/the-data.html
// download 1994.csv.bz2 and unpack by running: cat 1994.csv.bz2 | bzip2 -d > 1994.csv
// 1994.csv should be ~5.2 million lines and 500MB
// importing all rows into leveldb took ~50 seconds on my machine

// there are two main techniques at work here:
// 1: never create JS objects, leave the data as binary the entire time (binary-split does this)
// 2: group lines into 16 MB batches, to take advantage of leveldbs batch API (byte-stream does this)

var level = require('level')

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// This is free and unencumbered software released into the public domain.

// Marshals a string to an Uint8Array.
function encodeUTF8(s) {
	var i = 0, bytes = new Uint8Array(s.length * 4);
	for (var ci = 0; ci != s.length; ci++) {
		var c = s.charCodeAt(ci);
		if (c < 128) {
			bytes[i++] = c;
			continue;