Nothing
source("helper-common.R")
test_that("eaf", {
test.eaf.dataset <- function(name, percentiles = NULL) {
dataset <- get(name)
x <- eaf:::compute_eaf(dataset, percentiles)
# FIXME: work-around for change in the computation
x[,3] <- floor(x[,3])
#saveRDS(x, paste0(name, "-eaf.rds"))
return(x)
}
test.eaf.file <- function(file, percentiles = NULL) {
dataset <- read_datasets(file)
x <- eaf:::compute_eaf(dataset, percentiles)
#saveRDS(x, paste0(basename(file), "-eaf.rds"))
return(x)
}
expect_equal(test.eaf.file(extdata.path("ALG_1_dat.xz")),
readRDS("ALG_1_dat-eaf.rds"))
expect_equal(test.eaf.dataset("SPEA2relativeRichmond"),
readRDS("SPEA2relativeRichmond-eaf.rds"))
for (i in seq_len(399))
expect_equal(anyDuplicated(eafs(cbind(0:i, 0:i), 0:i)[,1]), 0L)
})
test_that("eafs_sets_numeric", {
expect_error(eafs(matrix(1:10, ncol=2), sets=letters[1:5]),
"sets")
})
test_that("eaf3d", {
lin <- read_datasets("lin.S.txt")
sph <- read_datasets("sph.S.txt")
nobjs <- ncol(lin) - 1
nruns.left <- max(lin[, nobjs + 1])
data.combined <- sph
data.combined[, nobjs + 1] <- data.combined[, nobjs + 1] + nruns.left
data.combined <- rbind(lin, data.combined)
# This may stop working once we filter uninteresting values in the C code directly.
DIFF <- eaf:::compute_eafdiff_helper(data.combined, intervals = nruns.left)
x <- as.matrix(read.table("lin.S-sph.S-diff.txt.xz", header = FALSE))
dimnames(x) <- NULL
x[, nobjs + 1] <- x[, nobjs + 1] - x[, nobjs + 2]
expect_equal(DIFF[, 1 : (nobjs + 1)], x[, 1 : (nobjs + 1)])
})
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