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context("estimating color mixtures")
## mixing done in CIE LAB by default now
## example data
# http://ncss-tech.github.io/AQP/soilDB/mixing-soil-color-data.html
# colors <- c('10YR 5/6', '7.5YR 6/2')
# weights <- c(80, 20)
# re-make the data expected by estimateColorMixture()
x <- data.frame(
colorhue = c("10YR", "7.5YR"),
colorvalue = c(5, 6),
colorchroma = c(6, 2),
r = c(0.613039703549513, 0.647387131276519),
g = c(0.450352989954951, 0.569095177873084),
b = c(0.216677275892247, 0.504787409851694),
L = c(51.4337014216073, 61.5648731270279),
A = c(9.91791561017435, 4.80646661041506),
B = c(38.6888986191802, 11.4641743697849),
pct = c(80, 20),
col = c("#9C7337FF", "#A59181FF"),
id = c(1, 1),
colormoistst = c("Dry", "Dry")
)
test_that("estimateColorMixture basic functionality", {
skip_if_not_installed("aqp")
skip_if_not_installed("farver")
# there is no back-transformation to Munsell by default, request it
res <- estimateColorMixture(x, backTransform = TRUE)
# should be a single row
expect_equal(nrow(res), 1)
# ensure values aren't NA
expect_true(all(!sapply(res, is.na)))
# check sRGB coordinates
# using wide tolerance, because changes in the Munsell LUT can create errors
# 2025-02-14: static color coordinates used in tests should be robust to future changes
expect_equal(res$r, 0.6, tolerance = 0.1)
expect_equal(res$g, 0.4, tolerance = 0.1)
expect_equal(res$b, 0.2, tolerance = 0.1)
})
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