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#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created on Mon Sep 09 23:06:21 2013
# @author: Danilo J. S. Bellini
"""
AudioLazy time-variant resonator helping instantaneous frequency measurements.
"""

from __future__ import print_function
from audiolazy import (sHz, sinusoid, gauss_noise, line, z, inf, resonator,

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function [maxtab, mintab]=peakdet(v, delta, x)
%PEAKDET Detect peaks in a vector
%        [MAXTAB, MINTAB] = PEAKDET(V, DELTA) finds the local
%        maxima and minima ("peaks") in the vector V.
%        MAXTAB and MINTAB consists of two columns. Column 1
%        contains indices in V, and column 2 the found values.
%      
%        With [MAXTAB, MINTAB] = PEAKDET(V, DELTA, X) the indices
%        in MAXTAB and MINTAB are replaced with the corresponding
%        X-values.

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import numpy as np
from math import pi, log
import pylab
from scipy import fft, ifft
from scipy.optimize import curve_fit

i = 10000
x = np.linspace(0, 3.5 * pi, i)
y = (0.3*np.sin(x) + np.sin(1.3 * x) + 0.9 * np.sin(4.2 * x) + 0.06 *
    np.random.randn(i))

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import json
import urllib2

r = urllib2.urlopen("http://blockchain.info/charts/trade-volume?timespan=all&format=json")
tradevol_string = r.read()
r.close()

r = urllib2.urlopen("http://blockchain.info/charts/estimated-transaction-volume-usd?timespan=all&format=json")
txvol_string = r.read()
r.close

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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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#!/usr/bin/env ruby
require 'time'
require 'erb'
require 'cgi'

filename = "~/.gitlogger"
## File format, One per line
# Repo Name:/path/to/base
dayone = false # log to day one? (true or false)
textlog = false # "~/Dropbox/nvALT2.2/GitLogger.md" # set to false to disable

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# https://github.com/matplotlib/matplotlib/issues/881
# Several of the ColorBrewer maps are "qualitative", meaning
# they are just a group of colors that can be used together 
# for categories of data.  So I remapped Accent to segments 
# instead of continuous:

# Actually, these should be used with ListedColormap, and 
# the number of colors should depend on the number of 
# categories in the data, with colors removed from the 
# list in a certain order?

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#!/usr/bin/env python
#
# Copyright (C) 2011 by Ben Noordhuis <info@bnoordhuis.nl>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:

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from Population import Population
from Individual import Individual
from random import random, randint

class Algorithm():

    #Constants
	Uniform_rate = 0.5
	Mutation_rate = 0.015
	Tournament_size = 5