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from __future__ import division | |
from numpy.fft import rfft | |
from numpy import argmax, mean, diff, log, nonzero | |
from scipy.signal import blackmanharris, correlate | |
from time import time | |
import sys | |
try: | |
import soundfile as sf | |
except ImportError: | |
from scikits.audiolab import flacread |
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ks.default <- function(rows) seq(2, max(3, rows %/% 4)) | |
many_kmeans <- function(x, ks = ks.default(nrow(x)), ...) { | |
ldply(seq_along(ks), function(i) { | |
cl <- kmeans(x, centers = ks[i], ...) | |
data.frame(obs = seq_len(nrow(x)), i = i, k = ks[i], cluster = cl$cluster) | |
}) | |
} | |
all_hclust <- function(x, ks = ks.default(nrow(x)), point.dist = "euclidean", cluster.dist = "ward") { |
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import logging | |
class QueueHandler(logging.Handler): | |
""" | |
This handler sends events to a queue. Typically, it would be used together | |
with a multiprocessing Queue to centralise logging to file in one process | |
(in a multi-process application), so as to avoid file write contention | |
between processes. | |
This code is new in Python 3.2, but this class can be copy pasted into |
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### MATPLOTLIBRC FORMAT | |
# This is a sample matplotlib configuration file - you can find a copy | |
# of it on your system in | |
# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it | |
# there, please note that it will be overridden in your next install. | |
# If you want to keep a permanent local copy that will not be | |
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux | |
# like systems) and C:\Documents and Settings\yourname\.matplotlib | |
# (win32 systems). |
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# Usage: | |
# source iterm2.zsh | |
# iTerm2 tab color commands | |
# https://iterm2.com/documentation-escape-codes.html | |
if [[ -n "$ITERM_SESSION_ID" ]]; then | |
tab-color() { | |
echo -ne "\033]6;1;bg;red;brightness;$1\a" | |
echo -ne "\033]6;1;bg;green;brightness;$2\a" |
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#!/usr/bin/python2 | |
# Copyright (C) 2016 Sixten Bergman | |
# License WTFPL | |
# | |
# This program is free software. It comes without any warranty, to the extent | |
# permitted by applicable law. | |
# You can redistribute it and/or modify it under the terms of the Do What The | |
# Fuck You Want To Public License, Version 2, as published by Sam Hocevar. See |
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import time | |
import random | |
from IPython import parallel | |
# create client & view | |
rc = parallel.Client() | |
dv = rc[:] | |
# scatter 'id', so id=0,1,2 on engines 0,1,2 |
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import os | |
import sys | |
import traceback | |
from functools import wraps | |
from multiprocessing import Process, Queue | |
def processify(func): | |
'''Decorator to run a function as a process. | |
Be sure that every argument and the return value |
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def rolling_window(array, window=(0,), asteps=None, wsteps=None, axes=None, toend=True): | |
"""Create a view of `array` which for every point gives the n-dimensional | |
neighbourhood of size window. New dimensions are added at the end of | |
`array` or after the corresponding original dimension. | |
Parameters | |
---------- | |
array : array_like | |
Array to which the rolling window is applied. | |
window : int or tuple |
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