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# Copyright (c) DataLab Platform Developers, BSD 3-Clause license, see LICENSE file.
"""
Image peak detection test: testing algorithm limits
"""
# pylint: disable=invalid-name # Allows short reference names like x, y, ...
import pytest
from sigima.tests.data import get_peak2d_data
from sigima.tests.env import execenv
from sigima.tests.image.peak2d_unit_test import (
exec_image_peak_detection_func,
)
from sigima.tools.image import get_2d_peaks_coords
@pytest.mark.skip(reason="Limit testing, not required for automated testing")
def test_peak2d_limit():
"""2D peak detection test"""
# pylint: disable=import-outside-toplevel
from guidata.qthelpers import qt_app_context
with qt_app_context():
execenv.print("Testing peak detection algorithm with random generated data:")
for idx in range(100):
execenv.print(f" Iteration #{idx:02d}: ", end="")
generated_data, _coords = get_peak2d_data(multi=True)
coords = get_2d_peaks_coords(generated_data)
if coords.shape[0] != 4:
execenv.print(f"KO - {coords.shape[0]}/4 peaks were detected")
exec_image_peak_detection_func(generated_data)
else:
execenv.print("OK")
# Showing results for last generated sample
exec_image_peak_detection_func(generated_data)
if __name__ == "__main__":
test_peak2d_limit()
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