from ZVLDriver import *
import matplotlib.pyplot as plt

# example code. profiles the per-point delay for reading data and   
ip = '129.129.156.201'
ip = '169.254.83.53'
import matplotlib.pyplot as plt
print('start')
z = ZVLNetAnalyzer()
z.reset()


#mm, mmi, fr, frq = z.find_peak(50_000_000, 350_000_000, 20_000_000)
#plt.plot(frq, fr)
#plt.axvline(frq[mmi])
#plt.axhline(mm)
#plt.show()

#z.reset()
##z.set_freq_range(1_000_000, 2_000_000.5)
##z.set_freq_span(1_000_000, 10_000)
z.set_freq_range(25_750_000, 75_250_000)
plt.scatter(*(z.get_data()))

z.reload_calibration()
#z.set_freq_span(220_000_000, 50_000_000)
plt.scatter(*(z.get_data()))
plt.show()

#Ns = np.linspace(3, 1000, 100).astype(int)
#ts = []
#for N in Ns:
#    st = time.time()
#    freqs, data = z.get_data(N)
#    et = time.time()
#    dt = (et-st)
#    print(f'got data, {dt/N} ({dt})')
#    ts += [dt]
#
#plt.scatter(Ns, ts)
#plt.show()
#plt.scatter(Ns, np.array(ts)/np.array(Ns))
#plt.show()
    
#input()
#plt.plot(*z.get_data(averaging_passes=1), alpha=0.3)
#plt.plot(*z.get_data(averaging_passes=64), alpha=0.3)
#plt.show()

input()