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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from lief import PE

# Constants
IMAGE_BASE = 0x02060000
ENTRY_POINT_OFFSET = 0x734
CODE_PAYLOAD_FILE = 'explorer_02060000.bin'
DATA_PAYLOAD_FILE = 'explorer_00B60000.bin'
FILE_ALIGNMENT = 0x200

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############################################################################################
##
## One-Click Hex Copy!
##
## Updated for IDA 7.xx
##
## All credit for actual IOCTL decode logic:
##      http://www.osronline.com/article.cfm?article=229
##
## Big thanks to @gaasedelen for the IDA 7 update ideas:

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#define _WIN32_WINNT 0x0501
#define _GLIBCXX_USE_C99 1

#include <stdio.h>
#include <stdlib.h>
#include <windows.h>
#include <iostream>
#include <string>
#include <sstream>

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[INFO] [2020-01-08 16:37:03,477] <module>(): [+] Original buffer: ['0', '1', '2', '2', '2', '2', '0', '1', '2', '2', '2', '2']
[INFO] [2020-01-08 16:37:03,477] <module>(): [+] Compressed list: [['0', 2], ['1', 2], ['2', 8]]
[INFO] [2020-01-08 16:37:03,477] <module>(): [+] Compression rate: 75.00%

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class NGram:
    def __init__(self, order):
        self.order = order
        self.buffer = []

    def add(self, element):
        tmp = None
        if not element:
            return tmp

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class Compressor:
    def init(level):
        buffer = List(level*2)

    def add(element):
        tmp = None
        if not element:
            return tmp

        if len(buffer) == level*2:

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compressors = []
for i in range(1,level):
    compressors.append(Compressor(i))
for e in data:
    e1 = checksum(e)
    c = compressors[0]
    out = c.add(e1)
    for c in compressor[1:]:
        out = c.add(out)

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['call_0', 'call_1', 'call_2', 'call_2', 'call_2', 'call_2', 'call_0', 'call_1', 'call_2', 'call_2', 'call_2', 'call_2']
[{'label': 'call_0', 'repeated': 2}, {'label': 'call_1', 'repeated': 2}, {'label': 'call_2', 'repeated': 8}]

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import os
import sys
import logging
import hashlib
import numpy
from random import randint

from itertools import groupby, chain

logger = logging.getLogger(__name__)

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data = [0, 1, 2, 2, 2, 2, 0, 1, 2, 2, 2, 2]
lrs = calculate_lrs(data)  # [0, 1, 2, 2, 2, 2]  <= First While
       
while lst:
    lrs = calculate_lrs()
# [2, 2]                                         <= Second while