66 lines
2.5 KiB
Python
66 lines
2.5 KiB
Python
"""Tests for Kamil ADC neutral preprocessing-set generation."""
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from __future__ import annotations
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import unittest
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import numpy as np
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from python_app.models.run_config_model import RunConfigModel
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from python_app.workflows.kamil_adc_neutral_preprocess import build_kamil_adc_neutral_s21_sets
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class KamilAdcNeutralPreprocessTest(unittest.TestCase):
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def test_builds_passthrough_s21_sets_for_current_sweep(self) -> None:
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config = RunConfigModel.from_dict(
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{
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"radar": {
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"model": "kamil_adc",
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"sweep": {
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"start_hz": 1_000_000.0,
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"stop_hz": 4_000_000.0,
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"if_bandwidth_hz": 1.0,
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"stimulus_power_dbm": -10.0,
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},
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},
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"switches": {
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"port1": {"positions": 1},
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"port2": {"positions": 2},
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},
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"run": {
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"combos": [
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{"input": 0, "output": 0},
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{"input": 1, "output": 0},
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],
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},
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}
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)
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calibration, reference = build_kamil_adc_neutral_s21_sets(config, point_count=4)
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expected_frequency = np.linspace(1_000_000.0, 4_000_000.0, 4, dtype=np.float32)
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self.assertEqual(len(calibration.traces), 2)
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self.assertEqual(len(reference.traces), 2)
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self.assertEqual(
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[(trace.combo.input, trace.combo.output) for trace in calibration.traces],
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[(0, 0), (1, 0)],
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)
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for trace in calibration.traces:
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np.testing.assert_array_equal(trace.frequency_hz, expected_frequency)
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np.testing.assert_array_equal(trace.s11, np.zeros(4, dtype=np.complex64))
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np.testing.assert_array_equal(trace.s21, np.ones(4, dtype=np.complex64))
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for trace in reference.traces:
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np.testing.assert_array_equal(trace.frequency_hz, expected_frequency)
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np.testing.assert_array_equal(trace.s11, np.zeros(4, dtype=np.complex64))
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np.testing.assert_array_equal(trace.s21, np.zeros(4, dtype=np.complex64))
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def test_rejects_non_kamil_config(self) -> None:
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config = RunConfigModel.from_dict({"radar": {"model": "librevna"}})
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with self.assertRaisesRegex(ValueError, "kamil_adc"):
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build_kamil_adc_neutral_s21_sets(config, point_count=4)
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if __name__ == "__main__":
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unittest.main()
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