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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 |
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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): |
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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 |
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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 |
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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 |
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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 |
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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 |