Nothing
test_that("meridional conversion works", {
u <- c(1, 0, -1, 0)
v <- c(0, 1, 0, -1)
m <- cbind(u, v)
res <- data.frame(wspd = 1, wdir = c(270, 180, 90, 0))
expect_equal(zmcomp2metconv(m), res)
expect_equal(zmcomp2metconv(u, v), res)
})
test_that("%nin% helper works", {
expect_false(1 %nin% c(1, 3, 5, 9))
expect_true(1 %nin% c(3, 5, 9))
})
test_that("Node selection works", {
skip_if_offline()
skip_if(!requireNamespace("resourcecodedata", quietly = TRUE))
point_test <- c(-4.700, 48.302)
node_test <- 134938
spec_test <- 2124
expect_equal(closest_point_field(point_test)$point, node_test)
expect_equal(
closest_point_field(point_test[1], point_test[2])$point,
node_test
)
expect_equal(closest_point_spec(point_test)$point, 2124)
expect_equal(closest_point_spec(point_test[1], point_test[2])$point, 2124)
})
test_that("Fast trapz works", {
n <- 101
x <- seq(0, pi, length.out = n)
y1 <- sin(matrix(x, ncol = n, nrow = n, byrow = FALSE))
y2 <- sin(matrix(x, ncol = n, nrow = n, byrow = TRUE))
expect_equal(fastTrapz(x, y1, 1), t(fastTrapz(x, y2, 2)))
})
test_that("JONSWAP computation works", {
expect_vector(jonswap())
expect_vector(jonswap(hs = 1, tp = 15))
expect_snapshot_output(jonswap())
expect_snapshot_output(jonswap(fmax = 0.95, df = 0.003))
expect_error(jonswap(hs = 4, tp = 15, fmax = 0.95))
expect_error(jonswap(gam = 0.5))
})
test_that("Directional means are accurately computed", {
expect_error(mean_direction())
expect_equal(mean_direction(rep(0, 10)), 0)
expect_equal(mean_direction(rep(0, 10)), mean_direction(rep(360, 10)))
})
test_that("Weighted directional means are accurately computed", {
expect_warning(mean_direction(c(0, 90), weights = c(-1, 1)))
expect_error(mean_direction(c(0, 90), weights = c(1)))
expect_equal(mean_direction(c(0, 90), weights = c(50, 50)), 45)
expect_equal(mean_direction(c(0, 90), weights = c(0, 1)), 90)
})
test_that("Directional binning works", {
expect_equal(
cut_directions(c(10, 80, 170, 280), n_bins = 4),
factor(c("N", "E", "S", "W"), levels = c("N", "E", "S", "W"))
)
expect_equal(
cut_directions(c(10, 80, 170, 280), n_bins = 8),
factor(
c("N", "E", "S", "W"),
levels = c("N", "NE", "E", "SE", "S", "SW", "W", "NW")
)
)
expect_equal(
cut_directions(c(10, 80, 170, 280), n_bins = 16),
factor(
c("N", "E", "S", "W"),
levels = c(
"N",
"NNE",
"NE",
"ENE",
"E",
"ESE",
"SE",
"SSE",
"S",
"SSW",
"SW",
"WSW",
"W",
"WNW",
"NW",
"NNW"
)
)
)
})
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