43 lines
1.5 KiB
Python
43 lines
1.5 KiB
Python
import os.path
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import numpy as np
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from numpy.testing import assert_allclose
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import pytest
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from optifik.minmax import thickness_from_minmax
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from optifik.io import load_spectrum
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from optifik.analysis import smooth_intensities
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from optifik.analysis import finds_peak
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import yaml
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def load():
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FOLDER = os.path.join('tests', 'spectraVictor1')
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yaml_file = os.path.join(FOLDER, 'known_value.yaml')
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with open(yaml_file, "r") as yaml_file:
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thickness_dict = yaml.safe_load(yaml_file)
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data = [(os.path.join(FOLDER, fn), val) for fn, val in thickness_dict.items()]
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return data
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@pytest.mark.parametrize("spectrum_path, expected", load())
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def test_minmax(spectrum_path, expected):
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lambdas, raw_intensities = load_spectrum(spectrum_path, lambda_min=450)
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smoothed_intensities = smooth_intensities(raw_intensities)
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indice = 1.324188 + 3102.060378 / (lambdas**2)
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prominence = 0.02
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total_extrema, peaks_min, peaks_max = finds_peak(lambdas, smoothed_intensities,
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min_peak_prominence=prominence,
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plot=False)
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thickness_minmax = thickness_from_minmax(lambdas,
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smoothed_intensities,
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refractive_index=indice,
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min_peak_prominence=prominence)
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result = thickness_minmax.thickness
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assert_allclose(result, expected, rtol=1e-1)
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