55 lines
2 KiB
Python
55 lines
2 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.scheludko import thickness_for_order0
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from optifik.io import load_spectrum
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from optifik.analysis import smooth_intensities
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import yaml
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def load(filename):
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FOLDER = os.path.join('tests', 'spectraVictor2', 'order0')
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yaml_file = os.path.join(FOLDER, filename)
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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.skip('...')
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@pytest.mark.parametrize("spectrum_path, expected", load('known_value.yaml'))
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def test_SV2o0_small_tol(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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refractive_index = 1.324188 + 3102.060378 / (lambdas**2)
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prominence = 0.020
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result = thickness_for_order0(lambdas, smoothed_intensities,
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refractive_index=refractive_index,
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min_peak_prominence=prominence,
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plot=False)
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assert_allclose(result.thickness, expected, rtol=1e-1)
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@pytest.mark.parametrize("spectrum_path, expected", load('known_value_large_tol.yaml'))
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def test_SV2o0_large_tol(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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refractive_index = 1.324188 + 3102.060378 / (lambdas**2)
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prominence = 0.020
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result = thickness_for_order0(lambdas, smoothed_intensities,
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refractive_index=refractive_index,
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min_peak_prominence=prominence,
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plot=False)
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assert_allclose(result.thickness, expected, rtol=2.5e-1)
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