test_that("rollmean", {
expect_identical(rollmean(c(1, 3, 5, 7), 2L), c(NA, 2, 4, 6))
})
test_that("measure overload", {
basetime <- 20200101000000
pings <- c(
0, 11, 0, 11, 12, 0, 11, 12, 13,
0, 11, 0, 11, 12, 0, 11, NA, 13
)
N <- length(pings) / 2L
log_df <- tibble::tibble(
timestamp = lubridate::ymd_hms(basetime + seq(N)) |> rep(2L),
address = paste0("192.168.1.", 1L:2L, "/24") |> rep(each = N),
ping = pings
)
# m and N is 1
t1 <- measure_overload(log_df, m = 1L, t = 10, N = 1L)
expect_named(t1, c("address", "start", "end", "n_timeout"))
expect_equal(nrow(t1), 7L)
expect_equal(t1$n_timeout, c(1L, 1L, 2L, 2L, 1L, 3L, 1L))
# change m to 2
t2 <- measure_overload(log_df, m = 2L, t = 10, N = 1L)
expect_equal(nrow(t2), 3L)
expect_equal(t2$n_timeout, c(1L, 1L, 2L))
# change N to 2
t3 <- measure_overload(log_df, m = 1L, t = 10, N = 2L)
expect_equal(nrow(t3), 3L)
expect_equal(t3$n_timeout, c(2L, 2L, 3L))
})
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