elsonidoq

elsonidoq

from math import log
log2= lambda x:log(x,2)
from scipy import histogram, digitize, stats, mean, std
from collections import defaultdict

def mutual_information(x,y):
    return entropy(y) - conditional_entropy(x,y)

def conditional_entropy(x, y):
    """

elsonidoq

elsonidoq

elsonidoq

elsonidoq

elsonidoq

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",

elsonidoq

import shutil
from optparse import OptionParser
import sys
import functools
import re
import subprocess
import os

READELF = '/usr/bin/readelf'
def get_dependencies(fname, skip_patterns):

elsonidoq

from time import time
import scipy
from scipy import stats
from math import sqrt
from multiprocessing import current_process

class Progress(object): 
    def __init__(self, tot=None, prefix=None,
                template='sp: %(speed).02fi/s, pr: %(progress).02f%%, rt: %(remaining)s, it: %(iteration_time)s, %(cnt)s of %(tot)s, pt: %(process_time)s', 
                 threaded_cnt= None, print_time=0.25, print_pid=False):

elsonidoq

class mydefaultdict(dict):
    def __init__(self, default, **kwargs):
        super(mydefaultdict, self).__init__(**kwargs)
        self.default = default
        
    def __getitem__(self, item):
        try:
            return super(mydefaultdict, self).__getitem__(item)
        except KeyError:
            val = self.default(item)