Grafiranje vrednosti
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.~*~
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.*~undo-tree~
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.~lock*#
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.*.swp
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Load Diff
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Load Diff
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// Zacetek / konec
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s.boot;
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s.stop;
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// Server -> Boot /// Ctrl+B
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// HELP: shift+ctrl+D
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// recimo ugen
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NetAddr.langPort;
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(
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SynthDef.new(\slOSC, {
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// Najprej argumenti, potem variable
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arg f=220, ampOsc=200, ch=0, off=0;
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var so;
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so = SinOsc.ar(f, off, SinOsc.kr(ampOsc));
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Out.ar(ch, so);
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}).add;
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//s = Synth.new(\slOSC);
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z = Synth.new(\slOSC);
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//v = Synth.new(\slOSC);
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u = Synth.new(\slOSC);
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OSCFunc({
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arg msg, time, addr, recvPort;
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[msg, time, addr, recvPort].postln;
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~gdX = msg[1];
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~gdY = msg[2];
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~gdZ = msg[3];
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}, '/eulerDiff', n);
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OSCFunc({
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arg msg, time, addr, recvPort;
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[msg, time, addr, recvPort].postln;
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~gX = msg[1];
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~gY = msg[2];
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~gZ = msg[3];
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}, '/euler', n);
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OSCFunc({
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arg msg, time, addr, recvPort;
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[msg, time, addr, recvPort].postln;
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~aX = msg[1];
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~aY = msg[2];
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~aZ = msg[3];
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}, '/accel', n);
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OSCFunc({
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arg msg, time, addr, recvPort;
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//msg.postln;
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}, '/euler', n);
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~polje = [];
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OSCFunc({
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arg msg, time, addr, recvPort;
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//[msg, time, addr, recvPort].postln;
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//s.get(\f, {arg f; s.set(\f, f + ~gX)});
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//s.get(\f, {arg f; s.set(\f, f - (~aX / 100))});
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z.get(\f, {arg f; s.set(\f, f + (~aY * 100))});
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u.get(\f, {arg f; s.set(\f, f + (~aX / 10))});
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//s.get(\f, {arg f; ~polje.add(f); s.set(\f, f + (~gdX * 100))});
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//v.get(\f, {arg f; ~polje.add(f); s.set(\f, f + (~gdZ * 100))});
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//z.get(\f, {arg f; s.set(\f, ~aY/ 10)});
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//s.get(\ampOsc, {arg f; s.set(\ampOsc, f + (~gX))});
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}, '/keys', n);
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)
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~polje;
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[1, 5, 8, 7, 2, 19].plot;
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[].add(123);
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#!/usr/bin/python3
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# Risanje grafa
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import matplotlib
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matplotlib.use('GTK4Agg')
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import matplotlib.pyplot as plt
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import pandas as pd
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import plotly_express as px
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plt.style.use('ggplot')
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#x, ax, ay, az = []
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x = []
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ax = []
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ay = []
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az = []
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ga = pd.read_csv('graf_a.csv')
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fig = px.line(ga, x="t", y=ga.columns[1:2])
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fig.show()
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gg = pd.read_csv('graf_g.csv')
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fig = px.line(gg, x="t", y=gg.columns[1:4])
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fig.show()
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fig = px.line(gg, x="t", y=gg.columns[4:5])
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fig.show()
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#!/usr/bin/python3
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# OSC komunikacija
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from pythonosc.osc_server import BlockingOSCUDPServer
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from pythonosc.dispatcher import Dispatcher
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from time import time
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from threading import Thread
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# Risanje grafa
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import matplotlib
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matplotlib.use('GTK4Agg')
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import matplotlib.pyplot as plt
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from matplotlib.animation import FuncAnimation
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dispecer = Dispatcher()
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srv = BlockingOSCUDPServer(("127.0.0.1", 57120), dispecer)
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# Zacetna (casovna) tocka
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zacetek = time()
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# use ggplot style for more sophisticated visuals
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plt.style.use('ggplot')
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size = 1000
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x_vec = []
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gx_vec = []
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gy_vec = []
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gz_vec = []
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ax_vec = []
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ay_vec = []
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az_vec = []
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x = 0
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gx = 0
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gy = 0
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gz = 0
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ax = 0
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ay = 0
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az = 0
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interval = 60 / 1000
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razlika = 0
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# Shranim "trenutne" vrednosti
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def beriSenzor(address, *args):
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global x, gx, gy, gz, ax, ay, az, razlika
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if (address == '/accel'):
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ax, ay, az = args
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if (address == '/euler'):
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gx, gy, gz = args
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print("euler", args)
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razlika = time() - zacetek
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if (razlika > interval):
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izrisi()
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razlika = razlika % interval
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fig = plt.gcf()
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#gxs = fig.add_subplot()
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#gys = fig.add_subplot()
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#gxp, = gxs.plot([])
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#gyp, = gys.plot([])
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fajl_g = open("graf_g.csv", "w")
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fajl_g.write("t,gx,gy,gz,rgx,rgy,rgz\n")
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fajl_a = open("graf_a.csv", "w")
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fajl_a.write("t,ax,ay,az\n")
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def izrisi():
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global x, gx, gy, gz, ax, ay, az, fig, plt, gxp, gyp, zacetek
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# Dodamo casovno tocko
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x = time() - zacetek
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#x_vec.append(x)
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fajl_g.write(str(x) + "," + str(gx) + "," + str(gy) + "," + str(gz) + "," + str(gx % 3.14) + "," + str(gy % 3.14) + "," + str(gz % 3.14) + "\n")
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fajl_a.write(str(x) + "," + str(ax) + "," + str(ay) + "," + str(az) + "\n")
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# Dodamo gyro in accel vrednosti v polja
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#gx_vec.append(gx)
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#gy_vec.append(gy)
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#gz_vec.append(gz)
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#ax_vec.append(ax)
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#ay_vec.append(ay)
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#az_vec.append(az)
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#plt.cla()
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#yplot.plot(x_vec, gx_vec)
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#yplot.plot(x_vec, gy_vec)
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#fig.set_xdata(x_vec)
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#gxp.set_data(x_vec, gx_vec)
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#gyp.set_data(x_vec, gy_vec)
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#print("RISEMO", x, gx)
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#plt.plot(x_vec, gx_vec, label="gyro x")
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#plt.plot(x_vec, gy_vec)
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#plt.plot(x_vec, gz_vec)
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#plt.plot(x_vec, ax_vec)
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#plt.plot(x_vec, ay_vec)
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#plt.plot(x_vec, az_vec)
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#plt.pause(0.0001)
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#fig.canvas.draw()
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#plt.show()
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#plt.pause(0.0001)
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#return gxp,
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#plt.gcf().autofmt_xdate()
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#plt.tight_layout()
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#plt.pause(0.001)
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#plt.gcf()
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#plt.pause(1)
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#return plt
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#plt.show()
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#return plt
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# Animiraj na cca 60hz
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#animacija = FuncAnimation(fig, izrisi, 500)
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#animacija = FuncAnimation(plt.gcf(), izrisi, interval=0.05, repeat=True)
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#print(animacija)
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#animacija = FuncAnimation(fig, izrisi)
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#plt.show()
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dispecer.map("/*", beriSenzor)
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# Zacni poslusat senzor
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print("serving...")
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srv.serve_forever()
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#trd = Thread(target=srv.serve_forever).start()
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# Kazi graf
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#print("Kazi graf!")
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#plt.tight_layout()
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#plt.show()
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#plt.plot([0, 0], [1, 5], [3, 7])
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#print('kazem', plt)
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# AJD!
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file.close()
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print("bye")
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python-osc ~= 1.8.0
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plotly-express ~= 0.4.1
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{SinOsc.ar(1)}.plot(1);
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{VarSaw.ar(20)}.plot(1);
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{VarSaw.ar(1, 0.25)}.plot(1);
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{VarSaw.ar(1, 0.25, 1)}.plot(1);
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{VarSaw.ar(50!2, 0.9, 1) * 0.1}.play;
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#!/usr/bin/python3
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib import patheffects
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# Plot a straight diagonal line with ticked style path
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fig, ax = plt.subplots(figsize=(6, 6))
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ax.plot([0, 1], [0, 1], label="Line",
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path_effects=[patheffects.withTickedStroke(spacing=7, angle=135)])
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# Plot a curved line with ticked style path
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nx = 101
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x = np.linspace(0.0, 1.0, nx)
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y = 0.3*np.sin(x*8) + 0.4
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ax.plot(x, y, label="Curve", path_effects=[patheffects.withTickedStroke()])
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ax.legend()
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plt.show()
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print("PLOT!")
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print(plt)
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