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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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24
frontend/src/constants.ts
View File

@@ -11,20 +11,20 @@ export const DATA_TYPES = new Set([
export const SOCKET_WIDGET_TYPES = new Set(['FLOAT', 'INT']);
export const TYPE_COLORS: Record<string, string> = {
DATA_FIELD: '#0800ff',
IMAGE: '#00ff08',
DATA_FIELD: '#7d8bdc',
IMAGE: '#69cc6c',
LINE: '#ffb300',
RECORD_TABLE: '#ff0000',
DATA_TABLE: '#fbff00',
COORD: '#ea00ff',
COORDPAIR: '#f0cbff',
FLOAT: '#00bfff',
INT: '#ffffff',
ANNOTATION_SOURCE: '#00ffbf',
COLORMAP: '#000000',
RECORD_TABLE: '#cf6868',
DATA_TABLE: '#cbcd67',
COORD: '#bb65c2',
COORDPAIR: '#bababa',
FLOAT: '#76bcd4',
INT: '#cf8e8e',
ANNOTATION_SOURCE: '#79cab6',
COLORMAP: '#905454',
MESH_MODEL: '#6e659e',
FONT: '#936991',
FILE_PATH: '#f1d19b',
FONT: '#cccf7f',
FILE_PATH: '#b87f7f',
DIRECTORY: '#90d294',
};

4
tests/test_fft_visual.py → scripts/fft_visual.py
View File

@@ -2,7 +2,7 @@
Generate test images and their FFT outputs for visual comparison with Gwyddion.
Saves PNG files to tests/output/.
Run: .venv/bin/python -m tests.test_fft_visual
Run from project root: .venv/bin/python scripts/fft_visual.py
"""
import sys
import os
@@ -12,7 +12,7 @@ sys.path.insert(0, ".")
from backend.data_types import DataField, datafield_to_uint8, encode_preview
from backend.nodes.fft_2d import FFT2D
OUT_DIR = os.path.join(os.path.dirname(__file__), "output")
OUT_DIR = os.path.join(os.path.dirname(os.path.dirname(os.path.abspath(__file__))), "tests", "output")
os.makedirs(OUT_DIR, exist_ok=True)

14
tests/node_tests/coordinate.py
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@@ -1,14 +0,0 @@
def test_coordinate():
from backend.nodes.coordinate import Coordinate
node = Coordinate()
result = node.process(x=0.3, y=0.7)
assert len(result) == 1
assert result[0] == (0.3, 0.7)
result_zero = node.process(x=0.0, y=0.0)
assert result_zero[0] == (0.0, 0.0)
result_one = node.process(x=1.0, y=1.0)
assert result_one[0] == (1.0, 1.0)

10
tests/node_tests/number.py
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@@ -1,10 +0,0 @@
def test_number():
from backend.nodes.number import Number
node = Number()
result = node.process(value=1.25)
assert result == (1.25,)
result_neg = node.process(value=-3.5)
assert result_neg == (-3.5,)

90
tests/test_fft.py
View File

@@ -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!")