dingodoppelt

import numpy as np
import matplotlib.pyplot as plt
from scipy.special import comb

def bezier(t, control_points):
    n = len(control_points) - 1
    result = np.zeros(3)
    for i, point in enumerate(control_points):
        result += comb(n, i) * (1 - t)**(n - i) * t**i * np.array(point)
    return result

dingodoppelt

import csv
import sys
import os.path
import json

def writeJSONFile(dataArray, csvFileOut):
    with open(csvFileOut, 'w', encoding = 'utf-8') as json_file_handler:
        json_file_handler.write(json.dumps(dataArray))

def removeDuplicates(inputCsvFile, outputCsvFile, outputJsonFile):

dingodoppelt

USER         PID    SPID CLS PRI COMMAND         COMMAND
jamulus     1842    1852 TS   39 QThread         /usr/local/bin/Jamulus -s -F -n -u 25 -w <br><h1 style=text-align:center>FetteHupeBackstage</h1><p style=text-align:center>Willkommen auf dem <b>privaten</b> Jamulus Server der Big Band <b>Fette Hupe</b> aus Hannover</p><p style=text-align:center><b>https://fettehupe.de</b></p><p style=text-align:left></p> -o FetteHupe;Frankfurt;82
jamulus     1842    1842 RR  139 Jamulus         /usr/local/bin/Jamulus -s -F -n -u 25 -w <br><h1 style=text-align:center>FetteHupeBackstage</h1><p style=text-align:center>Willkommen auf dem <b>privaten</b> Jamulus Server der Big Band <b>Fette Hupe</b> aus Hannover</p><p style=text-align:center><b>https://fettehupe.de</b></p><p style=text-align:left></p> -o FetteHupe;Frankfurt;82

dingodoppelt

Flat profile:

Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls  us/call  us/call  name    
 45.60    217.33   217.33 18976358    11.45    11.45  CServer::ProcessData(CVector<CVector<short> > const&, CVector<double> const&, CVector<double> const&, CVector<int> const&, CVector<double>&, CVector<short>&, int, int)
  6.73    249.39    32.06                             transient_analysis
  4.94    272.95    23.56                             clt_compute_allocation
  2.93    286.90    13.95                             op_pvq_search_c
  2.85    300.48    13.57                             quant_partition

dingodoppelt

Flat profile:

Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls  ms/call  ms/call  name    
  7.95    102.28   102.28                             remove_doubling
  5.80    176.95    74.67                             transient_analysis
  4.96    240.74    63.79                             clt_compute_allocation
  4.95    304.47    63.73                             op_pvq_search_c
  4.64    364.12    59.65                             celt_pitch_xcorr_c

dingodoppelt

Flat profile:

Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls  ms/call  ms/call  name    
  9.02     78.91    78.91                             remove_doubling
  5.73    129.02    50.11                             transient_analysis
  5.65    178.49    49.47                             celt_pitch_xcorr_c
  5.39    225.66    47.17                             find_best_pitch
  4.82    267.82    42.16                             clt_compute_allocation

dingodoppelt

Flat profile:

Each sample counts as 0.01 seconds.
  %   cumulative   self              self     total           
 time   seconds   seconds    calls  us/call  us/call  name    
 18.22      3.16     3.16   379138     8.33     8.33  CServer::ProcessData(CVector<CVector<short> > const&, CVector<double> const&, CVector<double> const&, CVector<int> const&, CVector<short>&, int, int)
  8.91      4.71     1.55                             op_pvq_search_c
  7.44      6.00     1.29                             transient_analysis
  4.73      6.82     0.82                             quant_partition
  4.09      7.53     0.71                             celt_encode_with_ec