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simplify tests

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This commit is contained in:
matei jordache
2026-04-04 23:14:17 -07:00
parent 2d9e1a1ecf
commit b8d5c11ee9
5 changed files with 14 additions and 128 deletions
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90
tests/test_fft.py
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@@ -10,7 +10,6 @@ import numpy as np
sys.path.insert(0, ".")
from backend.data_types import DataField
from backend.nodes.fft_2d import FFT2D
from backend.nodes.fft_2d_inverse import FFT2DInverse
def make_field(data, xreal=1e-6, yreal=1e-6):
@@ -247,91 +246,6 @@ def test_log_magnitude_visual_range():
print(" PASS\n")
def test_inverse_fft_reconstructs_from_magnitude_and_phase():
"""Magnitude + phase from FFT2D should reconstruct the original image."""
print("=== Test: Inverse FFT from magnitude + phase ===")
rng = np.random.default_rng(123)
data = rng.standard_normal((64, 96))
field = make_field(data, xreal=2.4e-6, yreal=1.6e-6)
fft_node = FFT2D()
ifft_node = FFT2DInverse()
_, magnitude, phase, _ = fft_node.process(field, windowing="none", level="none")
reconstructed, = ifft_node.process(magnitude, representation="magnitude", phase=phase)
max_err = np.max(np.abs(reconstructed.data - field.data))
print(f" Reconstruction max error: {max_err:.3e}")
assert reconstructed.domain == "spatial"
assert reconstructed.data.shape == field.data.shape
assert np.isclose(reconstructed.xreal, field.xreal)
assert np.isclose(reconstructed.yreal, field.yreal)
assert max_err < 1e-9, f"Expected near-exact reconstruction, got {max_err}"
print(" PASS\n")
def test_inverse_fft_reconstructs_from_log_magnitude_and_phase():
"""log(|F|) + phase should also reconstruct after expm1 inversion."""
print("=== Test: Inverse FFT from log magnitude + phase ===")
y, x = np.mgrid[0:72, 0:80] / 80.0
data = (
0.8 * np.sin(2 * np.pi * 6 * x)
+ 0.35 * np.cos(2 * np.pi * 9 * y)
+ 0.15 * np.sin(2 * np.pi * (4 * x + 3 * y))
)
field = make_field(data, xreal=1.6e-6, yreal=1.44e-6)
fft_node = FFT2D()
ifft_node = FFT2DInverse()
log_magnitude, _, phase, _ = fft_node.process(field, windowing="none", level="none")
reconstructed, = ifft_node.process(log_magnitude, representation="log_magnitude", phase=phase)
rms_err = np.sqrt(np.mean((reconstructed.data - field.data) ** 2))
print(f" Reconstruction RMS error: {rms_err:.3e}")
assert rms_err < 1e-9, f"Expected near-exact reconstruction, got {rms_err}"
print(" PASS\n")
def test_inverse_fft_reconstructs_from_psdf_and_phase():
"""PSDF + phase should reconstruct after undoing PSDF scaling."""
print("=== Test: Inverse FFT from PSDF + phase ===")
rng = np.random.default_rng(321)
data = rng.standard_normal((48, 64))
field = make_field(data, xreal=3.2e-6, yreal=2.4e-6)
fft_node = FFT2D()
ifft_node = FFT2DInverse()
_, _, phase, psdf = fft_node.process(field, windowing="none", level="none")
reconstructed, = ifft_node.process(psdf, representation="psdf", phase=phase)
max_err = np.max(np.abs(reconstructed.data - field.data))
print(f" Reconstruction max error: {max_err:.3e}")
assert reconstructed.si_unit_z == field.si_unit_z
assert max_err < 1e-8, f"Expected near-exact reconstruction, got {max_err}"
print(" PASS\n")
def test_inverse_fft_zero_phase_mode_returns_valid_image():
"""Spectrum-only inversion should return a finite spatial image with the right shape."""
print("=== Test: Inverse FFT zero-phase mode ===")
data = np.sin(2 * np.pi * 5 * np.mgrid[0:64, 0:64][1] / 64.0)
field = make_field(data, xreal=1e-6, yreal=1e-6)
fft_node = FFT2D()
ifft_node = FFT2DInverse()
_, magnitude, _, _ = fft_node.process(field, windowing="none", level="none")
reconstructed, = ifft_node.process(magnitude, representation="magnitude")
print(f" Output shape: {reconstructed.data.shape}")
assert reconstructed.domain == "spatial"
assert reconstructed.data.shape == field.data.shape
assert np.all(np.isfinite(reconstructed.data))
print(" PASS\n")
if __name__ == "__main__":
test_dc_removal()
test_single_frequency()
@@ -341,8 +255,4 @@ if __name__ == "__main__":
test_plane_subtraction()
test_non_square()
test_log_magnitude_visual_range()
test_inverse_fft_reconstructs_from_magnitude_and_phase()
test_inverse_fft_reconstructs_from_log_magnitude_and_phase()
test_inverse_fft_reconstructs_from_psdf_and_phase()
test_inverse_fft_zero_phase_mode_returns_valid_image()
print("All tests passed!")