Nothing
df <- read.table("../tmp/mean_execution_time.tsv", sep = "\t", header = T)
lapply(df$model, function(model) {
test_that(paste(model, ": RunModel should be as fast as CRAN version"), {
sel <- df$model == model
# Limit threshold for evolution of execution time (in %) between the 2 versions
# Negative values of evolution are expected but we apply an error margin depending on execution time
# decrease from 1.5 at 0.0ms to 0.5 at 10ms with a minimum at 0.5
threshold <- max(0.5, 2 - 0.1 * df[sel, 2])
expect_lt(df$evolution[sel], threshold)
})
})
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