Nothing
ems <- SIREmulators$ems
targs <- SIREmulators$targets
bad_targs <- targs
bad_targs$nS <- c(380, 451)
custom_measure <- function(ems, x, z, cutoff, ...) {
imps_df <- nth_implausible(ems, x, z, get_raw = TRUE)
sorted_imps <- t(apply(imps_df, 1, sort, decreasing = TRUE))
imps1 <- sorted_imps[,1] <= cutoff
imps2 <- sorted_imps[,2] <= cutoff - 0.5
constraint <- apply(x, 1, function(y) y[[1]] <= 0.4)
return(imps1 & imps2 & constraint)
}
test_that("Custom generation behaves - 1", {
skip_on_cran()
points <- generate_new_design(
ems, 100, targs, verbose = FALSE,
opts = list(accept_measure = custom_measure)
)
expect_equal(
nrow(points),
100
)
})
test_that("Custom generation behaves - 2", {
bad_points <- generate_new_design(
ems, 200, bad_targs, verbose = FALSE,
opts = list(accept_measure = custom_measure)
)
expect_equal(
nrow(bad_points),
200
)
})
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