import numpy as np from backend.data_types import LineData, RecordTable def test_acf_1d(): from backend.nodes.acf_1d import ACF1D node = ACF1D() # Periodic signal — ACF should show a peak at the period n = 256 period = 32 t = np.arange(n, dtype=np.float64) signal = np.sin(2 * np.pi * t / period) profile = LineData( data=signal, x_axis=t * 1e-9, x_unit="m", y_unit="V", ) acf, measurement = node.process(profile, level="mean") assert isinstance(acf, LineData) assert isinstance(measurement, RecordTable) # Only positive lags are output assert acf.x_axis is not None assert np.all(acf.x_axis > 0) # ACF should be monotonically decreasing at the very start (falls from the zero-lag peak) assert acf.data[0] > 0 # Peak period should be close to the input period in metres expected_period_m = period * 1e-9 assert len(measurement) == 1 assert measurement[0]["quantity"] == "Peak period" assert abs(measurement[0]["value"] - expected_period_m) / expected_period_m < 0.1 assert measurement[0]["unit"] == "m" def test_acf_1d_no_peak(): from backend.nodes.acf_1d import ACF1D node = ACF1D() # White noise — ACF should have no reliable peak, measurement table may be empty rng = np.random.default_rng(0) noise = rng.standard_normal(64) profile = LineData(data=noise, x_axis=np.arange(64, dtype=np.float64), x_unit="m") acf, measurement = node.process(profile, level="none") assert isinstance(acf, LineData) # measurement is either empty or has one row — no assertion on content def test_acf_1d_level_none(): from backend.nodes.acf_1d import ACF1D node = ACF1D() # With level="none", a DC offset should not be removed data = np.ones(32, dtype=np.float64) * 5.0 profile = LineData(data=data, x_axis=np.arange(32, dtype=np.float64)) acf, _ = node.process(profile, level="none") # ACF of a constant is a constant — first positive-lag value should be positive assert acf.data[0] > 0