quackseq-limenqr/tests/limenqr.py

56 lines
1.4 KiB
Python
Raw Normal View History

2024-06-01 19:00:12 +00:00
"""Test for the LimeNQR quackseq implementation."""
2024-05-30 13:40:49 +00:00
import unittest
import logging
import matplotlib.pyplot as plt
2024-06-01 19:00:12 +00:00
import numpy as np
2024-05-30 13:40:49 +00:00
from quackseq.pulsesequence import QuackSequence
from quackseq.event import Event
2024-06-01 19:00:12 +00:00
from quackseq.functions import SincFunction
2024-05-30 13:40:49 +00:00
from quackseq_limenqr.limenqr import LimeNQR
logging.basicConfig(level=logging.DEBUG)
2024-06-01 19:00:12 +00:00
# Mute matplotlib logs
logging.getLogger("matplotlib").setLevel(logging.WARNING)
2024-05-30 13:40:49 +00:00
2024-06-01 19:00:12 +00:00
class TestQuackSequence(unittest.TestCase):
"""Test the LimeNQR quackseq implementation."""
def test_loopback(self):
"""Tests a loopback sequence."""
# Loopback sequence
2024-05-30 13:40:49 +00:00
seq = QuackSequence("test - simulation run sequence")
2024-06-01 19:00:12 +00:00
loopback = Event("tx", "20u", seq)
2024-05-30 13:40:49 +00:00
seq.add_event(loopback)
2024-06-01 19:00:12 +00:00
seq.set_tx_amplitude(loopback, 100)
2024-05-30 13:40:49 +00:00
seq.set_tx_phase(loopback, 0)
rect = SincFunction()
seq.set_tx_shape(loopback, rect)
seq.set_rx(loopback, True)
TR = Event("TR", "1m", seq)
seq.add_event(TR)
2024-06-01 19:00:12 +00:00
print(seq.to_json())
2024-05-30 13:40:49 +00:00
lime = LimeNQR()
lime.set_averages(1000)
lime.set_frequency(100e6)
lime.settings.channel = "0"
lime.settings.tx_gain = 30
result = lime.run_sequence(seq)
2024-06-01 19:00:12 +00:00
plt.plot(result.tdx, result.tdy.imag)
plt.plot(result.tdx, result.tdy.real)
plt.plot(result.tdx, np.abs(result.tdy))
plt.show()
2024-05-30 13:40:49 +00:00
if __name__ == "__main__":
2024-06-01 19:00:12 +00:00
unittest.main()