context("simulate_themes")
test_that("simple dataset (single feature)", {
# create object
d <- new_dataset_from_auto(import_simple_raster_data())
# themes are a mix of categorical and continuous defined by a conditional
x <- simulate_themes(d, 1, 1, continuous = NA)
# run tests
expect_is(x, "list")
expect_length(x, 2)
expect_true(all_list_elements_inherit(x, "Theme"))
expect_equal(
sum(vapply(x, function(x) length(x$feature) == 1, logical(1))),
1
)
expect_equal(
sum(vapply(x, function(x) length(x$feature) > 1, logical(1))),
1
)
})
test_that("simple dataset (single feature, all categorical, manual legend)", {
# create object
d <- new_dataset_from_auto(import_simple_raster_data())
# themes are all categorical
x <- simulate_themes(d, 1, 1, continuous = FALSE)
# run tests
expect_is(x, "list")
expect_length(x, 2)
expect_true(all_list_elements_inherit(x, "Theme"))
expect_equal(
sum(vapply(x, function(x) length(x$feature) == 1, logical(1))),
1
)
expect_equal(
sum(vapply(x, function(x) length(x$feature) > 1, logical(1))),
1
)
})
test_that("simple dataset (multiple features)", {
# create object
d <- new_dataset_from_auto(import_simple_raster_data())
# themes are a mix of categorical and continuous defined by a conditional
x <- simulate_themes(d, 3, 2, 2, continuous = NA)
# run tests
expect_is(x, "list")
expect_length(x, 5)
expect_true(all_list_elements_inherit(x, "Theme"))
expect_equal(
sum(vapply(x, function(x) length(x$feature) == 1, logical(1))),
3
)
expect_equal(
sum(vapply(x, function(x) length(x$feature) > 1, logical(1))),
2
)
})
test_that("simple dataset (multiple features, all categorical, manual legend)", {
# create object
d <- new_dataset_from_auto(import_simple_raster_data())
# themes are all categorical
x <- simulate_themes(d, 3, 2, 2, continuous = FALSE)
# run tests
expect_is(x, "list")
expect_length(x, 5)
expect_true(all_list_elements_inherit(x, "Theme"))
expect_equal(
sum(vapply(x, function(x) length(x$feature) == 1, logical(1))),
3
)
expect_equal(
sum(vapply(x, function(x) length(x$feature) > 1, logical(1))),
2
)
})
test_that("large dataset", {
# create object
d <- new_dataset_from_auto(import_realistic_raster_data())
# themes are a mix of categorical and continuous defined by a conditional
x <- simulate_themes(d, 3, 2, 2, continuous = NA)
# run tests
expect_is(x, "list")
expect_length(x, 5)
expect_true(all_list_elements_inherit(x, "Theme"))
expect_equal(
sum(vapply(x, function(x) length(x$feature) == 1, logical(1))),
3
)
expect_equal(
sum(vapply(x, function(x) length(x$feature) > 1, logical(1))),
2
)
})
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