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%matplotlib inline
import numpy as np
import pandas as pd
import pylab as pl

from psi.controller.calibration.api import load_calibration
from psi.controller.calibration import chirp, tone
from psi.core.enaml.api import load_manifest_from_file

frequencies = [250, 500, 1000, 2000, 4000, 8000, 16000, 32000]

io_file = 'c:/psi-dev/io/pika_two_starship.enaml'
cal_file = 'c:/psi-dev/io/pika_two_starship/default.json'

io_manifest = load_manifest_from_file(io_file, 'IOManifest')
io = io_manifest()
st1 = io.find('NI_starship_1')
st2 = io.find('NI_starship_2')

channels = st1.get_channels(active=False) + st2.get_channels(active=False)
load_calibration(cal_file, channels)


    

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for channel in channels:
    print(channel.name)


    

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tc1 = tone.tone_calibration(
    st1,
    frequencies,
    ao_channel_name='speaker_1_1',
    ai_channel_names=['microphone_1'],
    gain=-30
)['microphone_1']

tc2 = tone.tone_calibration(
    st2,
    frequencies,
    ao_channel_name='speaker_2_1',
    ai_channel_names=['microphone_2'],
    gain=-30
)['microphone_2']


    

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cc1 = chirp.chirp_calibration(
    engine=st1,
    ao_channel_name='speaker_1_1',
    ai_channel_names=['microphone_1'],
    gain=-30,
    repetitions=8,
)['microphone_1']

cc2 = chirp.chirp_calibration(
    engine=st2,
    ao_channel_name='speaker_2_1',
    ai_channel_names=['microphone_2'],
    gain=-30,
    repetitions=8,
)['microphone_2']


    

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for f in frequencies:
    t = tc1.get_spl(f, 1)
    c = cc1.get_spl(f, 1)
    print(f'Tone: {t:0.2f}\tChirp: {c:0.2f}')


    

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for f in frequencies:
    t = tc2.get_spl(f, 1)
    c = cc2.get_spl(f, 1)
    print(f'Tone: {t:0.2f}\tChirp: {c:0.2f}')


    

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