Nothing
# test_that() #Included to make RStudio recognize this file as a test # nolint
skip_if_not_installed("stars")
targets::tar_test("tar_stars() works", {
geotargets::geotargets_option_set(
gdal_raster_creation_options = c("COMPRESS=DEFLATE", "TFW=YES")
)
targets::tar_script({
list(geotargets::tar_stars(
test_stars,
stars::read_stars(
system.file("tif", "olinda_dem_utm25s.tif", package = "stars")
)
))
})
targets::tar_make(reporter = "silent")
x <- targets::tar_read(test_stars)
expect_s3_class(x, "stars")
expect_snapshot(
x
)
})
targets::tar_test("tar_stars_proxy() works", {
geotargets::geotargets_option_set(
gdal_raster_creation_options = c("COMPRESS=DEFLATE", "TFW=YES")
)
targets::tar_script({
list(geotargets::tar_stars_proxy(
test_stars_proxy,
stars::read_stars(
system.file("tif", "olinda_dem_utm25s.tif", package = "stars")
)
))
})
targets::tar_make(reporter = "silent")
x <- targets::tar_read(test_stars_proxy)
expect_s3_class(x, "stars_proxy")
expect_snapshot(
x
)
})
targets::tar_test("tar_stars(mdim=TRUE) works", {
targets::tar_script({
geotargets::geotargets_option_set(gdal_raster_driver = "netCDF")
list(geotargets::tar_stars(
test_stars_mdim,
{
set.seed(135)
m <- matrix(runif(10), 2, 5)
names(dim(m)) <- c("stations", "time")
times <- as.Date("2022-05-01") + 1:5
pts <- sf::st_as_sfc(c("POINT(0 1)", "POINT(3 5)"))
s <- stars::st_as_stars(list(Precipitation = m)) |>
stars::st_set_dimensions(1, values = pts) |>
stars::st_set_dimensions(2, values = times)
},
mdim = TRUE
))
})
targets::tar_make(reporter = "silent")
x <- targets::tar_read(test_stars_mdim)
expect_s3_class(x, "stars")
expect_snapshot(x)
})
targets::tar_test("tar_stars(mdim=TRUE, ncdf=TRUE) works", {
skip_if_not_installed("ncmeta")
targets::tar_script({
list(geotargets::tar_stars(
test_stars_mdim_ncdf,
{
set.seed(135)
m <- matrix(runif(10), 2, 5)
names(dim(m)) <- c("stations", "time")
times <- as.Date("2022-05-01") + 1:5
pts <- sf::st_as_sfc(c("POINT(0 1)", "POINT(3 5)"))
s <- stars::st_as_stars(list(Precipitation = m)) |>
stars::st_set_dimensions(1, values = pts) |>
stars::st_set_dimensions(2, values = times)
s
},
driver = "netCDF",
mdim = TRUE,
ncdf = TRUE
))
})
targets::tar_make(reporter = "silent")
# warnings related to no CRS
suppressWarnings({
x <- targets::tar_read(test_stars_mdim_ncdf)
})
expect_s3_class(x, "stars")
expect_snapshot(x)
})
targets::tar_test("tar_stars() works with dynamic branching", {
targets::tar_script({
list(
geotargets::tar_stars(
test_stars,
stars::read_stars(
system.file("tif", "olinda_dem_utm25s.tif", package = "stars")
)
),
targets::tar_target(
to_add,
c(1, 2)
),
geotargets::tar_stars(
test_stars_plus,
test_stars + to_add,
pattern = map(to_add)
)
)
})
targets::tar_make(reporter = "silent")
expect_length(targets::tar_read(test_stars_plus), 2)
})
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