36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
from __future__ import annotations
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from datetime import datetime, timezone
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import numpy as np
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from tools.export_g90_rtk_to_sessions import nmea_utc_to_unix_s
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from tools.time_alignment import fit_affine_clock
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def test_fit_affine_clock_large_epoch_and_receive_spike() -> None:
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device = np.linspace(10_000.0, 10_300.0, 601)
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host = 1_786_000_000.0 + 1.00002 * (device - device[0])
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host[250] += 0.25
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model = fit_affine_clock(device, host)
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assert abs(model.scale - 1.00002) < 1e-7
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assert abs(model.map(device[400]) - host[400]) < 1e-4
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assert model.inlier_count < model.sample_count
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assert abs(model.inverse(model.map(device[123])) - device[123]) < 1e-7
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def test_nmea_utc_uses_measurement_time_not_receive_time() -> None:
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receive = datetime(2026, 8, 14, 11, 34, 12, tzinfo=timezone.utc).timestamp()
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measurement = nmea_utc_to_unix_s("113408.85", receive)
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assert abs((receive - measurement) - 3.15) < 1e-6
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def test_nmea_utc_resolves_midnight_rollover() -> None:
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receive = datetime(2026, 8, 15, 0, 0, 1, tzinfo=timezone.utc).timestamp()
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measurement = nmea_utc_to_unix_s("235959.50", receive)
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assert abs((receive - measurement) - 1.5) < 1e-6
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