context("gefs")
#set a location
lat = 46.28125
lon = -116.2188
#variable
var = "Temperature_height_above_ground_ens"
test_that("gefs errors", {
skip_on_cran()
skip_on_appveyor()
skip_on_travis()
expect_error(gefs(lat=lat, lon=lon), "Need to specify the variable to get. A list of variables is available from gefs_variables().")
})
test_that("gefs time and ensemble selection returns correct indices.", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
ens_idx = 2:4
time_idx = 5:10
d = gefs(var, lat, lon, ens_idx = ens_idx, time_idx = time_idx)
expect_equal(dim(d$data), c(length(ens_idx) * length(time_idx), 6))
expect_equal(unique(d$data$ens), ens_idx - 1)
## FIXME, fails, haven't looked into why yet
#expect_equal(unique(d$data$time), (time_idx-1) * 6)
})
test_that("gefs metadata", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
today = format(as.Date(Sys.time()) - 1, "%Y%m%d")
forecast_time = "0600"
d = gefs(var, lat, lon, ens=1, date=today, forecast_time=forecast_time)
expect_equal(d$forecast_date, today)
expect_equal(d$forecast_time, forecast_time)
expect_equal(d$dimensions[1:4], c("lon", "lat", "height_above_ground", "ens"))
})
test_that("gefs_variables returns characters.", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
vars = gefs_variables()
expect_is(vars, "character")
expect_is(vars[1], "character")
})
test_that("gefs_latitudes returns numeric.", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
lats = gefs_latitudes()
expect_is(lats, "array")
expect_is(lats[1], "numeric")
})
test_that("gefs_longitudes returns numeric.", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
lons = gefs_longitudes()
expect_is(lons, "array")
expect_is(lons[1], "numeric")
})
test_that("gefs_dimensions returns character list.", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
dims = gefs_dimensions()
expect_is(dims, "character")
expect_is(dims[1], "character")
})
test_that("gefs_dimension_values returns numeric array.", {
skip_on_cran()
skip_on_travis()
skip_on_appveyor()
vals = gefs_dimension_values("lat")
expect_is(vals, "array")
expect_is(vals[1], "numeric")
expect_error(gefs_dimension_values(dim = NULL), "dim cannot be NULL or missing.")
})
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