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2026-04-10 14:37:34 -04:00
"""Tests for CFC filtering."""
import numpy as np
import pytest
from impakt.transform.cfc import CFCFilter, cfc_filter
class TestCFCFilter:
def test_cfc60(self, head_accel_x):
filtered = cfc_filter(head_accel_x, 60)
assert filtered.cfc_class == 60
assert len(filtered.data) == len(head_accel_x.data)
# Filtered signal should be smoother (lower peak)
assert filtered.peak <= head_accel_x.peak
# But still retain the general shape
assert filtered.peak > 20.0 # Not completely killed
def test_cfc180(self, head_accel_x):
filtered = cfc_filter(head_accel_x, 180)
assert filtered.cfc_class == 180
def test_cfc600(self, head_accel_x):
filtered = cfc_filter(head_accel_x, 600)
assert filtered.cfc_class == 600
def test_cfc1000(self, head_accel_x):
filtered = cfc_filter(head_accel_x, 1000)
assert filtered.cfc_class == 1000
# CFC 1000 removes very little — peak should be close to original
assert abs(filtered.peak - head_accel_x.peak) < 5.0
def test_invalid_cfc_class(self):
with pytest.raises(ValueError, match="Invalid CFC class"):
CFCFilter(cfc_class=42)
def test_transform_history(self, head_accel_x):
filtered = cfc_filter(head_accel_x, 180)
assert len(filtered.transform_history) == 1
assert "CFC 180" in filtered.transform_history[0]
def test_original_unchanged(self, head_accel_x):
original_data = head_accel_x.data.copy()
_ = cfc_filter(head_accel_x, 180)
assert np.array_equal(head_accel_x.data, original_data)
def test_progressive_filtering(self, head_accel_x):
"""Lower CFC classes should produce smoother (lower peak) output."""
peak_1000 = cfc_filter(head_accel_x, 1000).peak
peak_600 = cfc_filter(head_accel_x, 600).peak
peak_180 = cfc_filter(head_accel_x, 180).peak
peak_60 = cfc_filter(head_accel_x, 60).peak
assert peak_1000 >= peak_600 >= peak_180 >= peak_60