Nothing
test_that("Summary statistics are calculated correctly", {
N <- 100
out <- test_stats(N, 10)
means <- as.numeric(tapply(out[[1]], out[[2]], mean))
sds <- as.numeric(tapply(out[[1]], out[[2]], sd))
mins <- as.numeric(tapply(out[[1]], out[[2]], min))
maxs <- as.numeric(tapply(out[[1]], out[[2]], max))
# Unfortunately we cannot expect identical here, due to precision issues ...
# Therefore, we added a small tolerance
# C++ results are rounded to the nearest integer (to even in halfway cases)
expect_equal(
abs(times$Microseconds - as.numeric(round(means) * 1e-3)) < 2e-3,
rep(TRUE, length(times$Microseconds))
)
expect_equal(
abs(times$SD - as.numeric(round(sds) * 1e-3)) < 2e-3,
rep(TRUE, length(times$SD))
)
expect_identical(
times$Max,
as.numeric(maxs) * 1e-3
)
expect_equal(
times$Max >= times$Microseconds,
rep(TRUE, length(times$Microseconds))
)
expect_identical(
times$Min,
as.numeric(mins) * 1e-3
)
expect_equal(
times$Min <= times$Microseconds,
rep(TRUE, length(times$Microseconds))
)
expect_equal(
times$Count,
rep(N, length(times$Count))
)
})
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