# Generated by 04-dplyr-tests.R, do not edit by hand # Workaround for lazytest test_that("Dummy", { expect_true(TRUE) }) skip_if(Sys.getenv("DUCKPLYR_SKIP_DPLYR_TESTS") == "TRUE") test_that("duckplyr_group_nest() works", { grouped <- duckplyr_group_by(starwars, species, homeworld) gdata <- group_data(grouped) res <- duckplyr_group_nest(starwars, species, homeworld) expect_type(duckplyr_pull(res), "list") expect_equal(attr(duckplyr_pull(res), "ptype"), vec_slice(duckplyr_select(starwars, -species, -homeworld), 0L)) expect_equal(res[1:2], structure(gdata[1:2], .drop = NULL)) nested <- bind_rows(!!!res$data) expect_equal(names(nested), duckplyr_setdiff(names(starwars), c("species", "homeworld"))) }) test_that("duckplyr_group_nest() can keep the grouping variables", { grouped <- duckplyr_group_by(starwars, species, homeworld) gdata <- group_data(grouped) res <- duckplyr_group_nest(starwars, species, homeworld, keep = TRUE) nested <- bind_rows(!!!res$data) expect_equal(names(nested), names(starwars)) }) test_that("duckplyr_group_nest() works on grouped data frames", { grouped <- duckplyr_group_by(starwars, species, homeworld) gdata <- group_data(grouped) res <- duckplyr_group_nest(grouped) expect_type(duckplyr_pull(res), "list") expect_equal(res[1:2], structure(gdata[1:2], .drop = NULL)) expect_equal(names(bind_rows(!!!res$data)), duckplyr_setdiff(names(starwars), c("species", "homeworld"))) res <- duckplyr_group_nest(grouped, keep = TRUE) expect_type(duckplyr_pull(res), "list") expect_equal(attr(duckplyr_pull(res), "ptype"), vec_slice(starwars, 0L)) expect_equal(res[1:2], structure(gdata[1:2], .drop = NULL)) expect_equal(names(bind_rows(!!!res$data)), names(starwars)) }) test_that("group_nest.grouped_df() warns about ...", { expect_warning(duckplyr_group_nest(duckplyr_group_by(mtcars, cyl), cyl)) }) test_that("duckplyr_group_nest() works if no grouping column", { skip("TODO duckdb") res <- duckplyr_group_nest(iris) expect_equal(res$data, list(iris)) expect_equal(names(res), "data") }) test_that("duckplyr_group_nest() respects .drop", { nested <- tibble(f = factor("b", levels = c("a", "b", "c")), x = 1, y = 2) %>% duckplyr_group_nest(f, .drop = TRUE) expect_equal(nrow(nested), 1L) })