maciejczyzewski

def f(l, o='{}'):
  s=[[]]
  def x(): s[-1].append([]); s.append(s[-1][-1])
  def y(): return -1 if len(s) == 1 else s.pop()
  for c in l:
    try:
      if { o[0]: x, o[1]: y }[c]() == -1: return False
    except KeyError: s[-1].append(c)
  return s[0] if len(s) == 1 else False

maciejczyzewski

import numpy as np
import pandas as pd

df = pd.read_csv('wach2.csv') # case 1: wach.csv, case 2: wach2.csv
pd.set_option('display.width', 1000)

m1 = 149.8; m2 = 199.6
df.columns = ['m1', 'm2']

m1_avg = df['m1'].mean()

maciejczyzewski

https://dl.dropboxusercontent.com/u/103345209/Computerwissenschaften.pdf

maciejczyzewski

Now it's part of https://github.com/maciejczyzewski/libchaos library!!!

maciejczyzewski

#include <stdio.h>
#include <stdlib.h>
#define pf printf

#define nodeptr struct node_t*

struct node_t {
	int val;
	nodeptr rr;
	nodeptr ll;

maciejczyzewski

#include <stdio.h>
#include <stdlib.h>
#define pf printf

#define oo 0x7FFFFFFF
#define nodeptr struct node_t*

struct node_t {
	int val;
	nodeptr rr;

maciejczyzewski

from os import environ
from sys import argv
from warnings import filterwarnings

from numpy.fft import rfft
from numpy.random import seed
from numpy import log1p, pi, polymul, mean, argmax
from scipy.signal import decimate, bilinear, lfilter, parzen
from soundfile import read as _read_audio
from copy import copy