pichenettes

In my humble village,
I have a bad reputation.
Whether I try to argue or remain silent,
I pass for a good-for-nothing.
Yet I'm not hurting anyone,
By following my own unpretentious path.

(Chorus)
But the good people don't like it,
When we follow a path different from theirs!

pichenettes

import numpy
import pylab

ratio = 0.333

t = numpy.arange(1000.0) / 1000.0
s = 0

for n in xrange(1, 1000):
  harmonic = numpy.cos(2 * numpy.pi * t * n)

pichenettes

void VoiceController::Clock(bool midi_generated) {
   voice_.set_lfo_pll_target_phase(lfo_sync_counter_);
   if (!clock_counter_) {
     if (!clock_out_counter_) {
       clock_pulse_ = 8;
     }
     clock_out_counter_ = (clock_out_counter_ + 1) & 1;  // Divide by 2.
     ClockArpeggiator();
     ClockSequencer();
     ClockDrumMachine();

pichenettes

import numpy
import pylab

# coeff = numpy.exp(numpy.arange(65536) * numpy.log(1000) / 65536.0) * 32.768
# coarse_table = numpy.round(coeff[::4096])
# fine_table = numpy.round(coeff[:4096+256:256] / 32.768 * 32768)

coarse_table = [ 33, 50, 78, 120, 184, 284, 437, 673, 1036, 1596, 2457, 3784, 5827, 8973, 13818, 21279 ]
fine_table = [ 32768, 33664, 34585, 35531, 36503, 37501, 38527, 39580, 40663, 41775, 42918, 44092, 45298, 46536, 47809, 49117, 50460 ]

pichenettes

import math


def bin_string(n, size):
  l = ['0'] * size
  for i in xrange(size):
    l[size - 1 - i] = '01'[n % 2]
    n /= 2
  return ''.join(l)

pichenettes

import numpy
import pylab

def f(n, bit):
  if bit == 0:
    return n
  else:
    if n & (1 << bit):
      return f(n % (1 << bit), bit - 1) + (n & (1 << (bit - 1)))
    else:

pichenettes

import numpy

global r, n

def run_mr(data, mapper, reducer):
  """Runs a map reduce locally."""
  shuffled = {}
  for k, v in data:
    for out_k, out_v in mapper(k, v):
      shuffled.setdefault(out_k, []).append(out_v)

pichenettes

import numpy

global r, n

def run_mr(data, mapper, reducer):
  """Runs a map reduce locally."""
  shuffled = {}
  for k, v in data:
    for out_k, out_v in mapper(k, v):
      shuffled.setdefault(out_k, []).append(out_v)

pichenettes

import numpy
import pylab

points = [
  (3, 3.0),
  (3, 3.0),
  (3, 3.0),
  (2, 2.0),
  (2, 2.0),
  (2, 2.0),

pichenettes

import numpy
import pylab

delta = 0.01
omega = 0.05
omega_noise = 0.2
A = 5
A_noise = 0.2
phi = 0.8
N = 1000