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import numpy as np, struct
from colour import *
from colour.difference import delta_E_CIE1976
from colour.models import eotf_inverse_sRGB
from colour.recovery import Jakob2019Interpolator
from gsoc_common import *
# This script tests if the interpolator correctly handles multi-dimensional
# inputs.
if __name__ == "__main__":
interp = Jakob2019Interpolator()
interp.from_file("data/srgb.coeff")
RGBs = np.random.random((7, 6, 5, 4, 3))
ccs = interp.coefficients(RGBs)
RGB = eotf_inverse_sRGB(RGBs[0, 0, 0, 0, :])
XYZ = sRGB_to_XYZ(RGB)
Lab = XYZ_to_Lab(XYZ, D65_xy)
cc = ccs[0, 0, 0, 0, :]
matched_sd = model_sd(cc, primed=False)
matched_XYZ = sd_to_XYZ(matched_sd, illuminant=D65) / 100
matched_Lab = XYZ_to_Lab(matched_XYZ, D65_xy)
error = delta_E_CIE1976(Lab, matched_Lab)
plot_comparison(XYZ, matched_sd, "Model", error, D65)
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