library("plotteR")
context("plot.func.ert")
# create a single run
make.run <- function(q.best, time.worst, ...) {
repeat {
x <- sort(unique(as.integer(c(1L, time.worst, runif(n=19L, min=1L, max=time.worst)))));
if(length(x) == 21L) { break; }
}
range <- 1 - q.best;
repeat {
l <- unique((exp(runif(n=20L, min=1L, max=5L))-exp(1L))/exp(5L));
if(length(l) != 20L) { next; }
if(any((l<=0) | (l >= 1))) { next; }
y <- sort(unique(c(q.best, q.best + (range*l))), decreasing = TRUE);
if(length(y) == 21L) { break; }
}
return(matrix(c(x, y), ncol=2L))
}
# make n runs
make.runs <- function(n, q.best, time.worst) {
return(lapply(X=seq_len(n), FUN=make.run, q.best=q.best, time.worst=time.worst));
}
.tester <- function(data) {
graphics.off();
# create destination file
dest <- tempfile(pattern="plot-test", fileext=".pdf");
expect_false(file.exists(dest));
pdf(dest, width=6, height=3);
plot.func.ert(data);
dev.off();
expect_true(file.exists(dest));
expect_gt(file.size(dest), 100L);
# delete temp file
unlink(dest);
}
test_that("Test plot.func.ert random runs", {
.tester(list(make.runs(20, 0.0, 1e6)));
.tester(list(make.runs(20, 0.0, 1e6),
make.runs(20, 0.5, 1e6)));
.tester(list(make.runs(20, 0.0, 1e6),
make.runs(20, 0.5, 1e6),
make.runs(20, 0.0, 1e4),
make.runs(20, 0.5, 1e4),
make.runs(20, 0.1, 1e5)));
})
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