endolith

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from pandas import read_csv
import matplotlib.pyplot as plt
import numpy as np

filename = '20181113000029_wave.csv'
offset = 0  # In samples, the point at which you want the plotting to start

data = read_csv(filename)
data = data[offset:]

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"""
Created on Wed Aug 03 11:56:41 2016
"""
from scipy.signal.windows import (boxcar, hann, hamming, bartlett, bohman,
                                  blackman, parzen, blackmanharris, cosine,
                                  kaiser, tukey, gaussian)
from scipy.fftpack import fft
import numpy as np
import matplotlib.pyplot as plt

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#!/usr/bin/env python

# alpha release 2005-02-04

# This python script by Russ Paielli implements two variations of
# Condorcet-Schulze voting algorithms and provides associated
# input/output utilities. To try it, type

# Condorcet.py <input> <output>

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#!/usr/bin/env python

# Copyright (C) 2002 by Mike Ossipoff and Russ Paielli

# version 1.0 - released 2002-02-14
# version 1.01 - released 2002-08-24 -- comments revised slightly
# version 1.02 - released 2004-02-14 -- comments revised slightly

# See http://ElectionMethods.org/CondorcetSSD.py for updates.
# See http://ElectionMethods.org for related informatioin.

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"""
Train a neural network to implement the discrete Fourier transform
"""
import matplotlib.pyplot as plt
import numpy as np
from tensorflow.keras.layers import Dense
from tensorflow.keras.models import Sequential

N = 32
batch = 10000

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from numpy import pi, exp, tan, sqrt, log10
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt


def lp2_mzti(w0=None, K=None):
    """
    Digital 2nd order lowpass filter design using
    improved Matched Z transform (MZTi)

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! Title: Finite Scroll (kills infinite scrolling)
! Last modified: 2017-10-24
! Homepage: https://gist.github.com/endolith/72ac5e69e037be02b118adbedcdeac59
! This URL: https://gist.githubusercontent.com/endolith/72ac5e69e037be02b118adbedcdeac59/raw/finite_scroll.txt


! TODO: Add these scripts: https://infinite-scroll.com/


! Forbes infinite scroll (and all other AJAX) 

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import numpy as np
from numpy import exp, sqrt, pi, cos, sin, e
import matplotlib.pyplot as plt
from scipy import optimize
import warnings
warnings.filterwarnings("ignore",".*GUI is implemented.*")
from scipy._lib._util import check_random_state
from scipy.optimize._basinhopping import AdaptiveStepsize, RandomDisplacement