# Set number of data.table threads to 2 data.table::setDTthreads(threads = 2L) # Set number of collapse threads to 1 collapse::set_collapse(nthreads = 1L) testthat::test_that("duplicate_rows", { test_df <- dplyr::tibble(x1 = c("a", "a", "b", "c", "d", "e", "a"), x2 = c("a", "a", "b", "c", "a", "b", "a"), x3 = c("a", "a", "b", "a", "b", "e", "a"), x4 = c("a", "a", "a", "a", "b", "b", "a"), group = c(1, 1, 1, 2, 2, 3, 3)) test_df2 <- dplyr::tibble(x = c("a", NA, "c", NA, NA), y = c(NA, "b", "c", NA, NA), z = c(NA, "b", "c", NA, NA)) # This doesn't work because data.table can't handle 0-columns. # testthat::expect_identical(duplicate_rows(test_df %>% dplyr::select()), # test_df %>% dplyr::select() %>% dplyr::slice(0)) testthat::expect_identical(nrow(duplicate_rows(test_df, .both_ways = TRUE)), 2L) testthat::expect_identical(nrow(duplicate_rows(test_df2, .both_ways = TRUE, .drop_empty = TRUE)), 0L) testthat::expect_identical(duplicate_rows(iris, Sepal.Length, Species, .keep_all = TRUE, .both_ways = TRUE), iris %>% dplyr::group_by(Sepal.Length, Species) %>% dplyr::filter(dplyr::n() > 1) %>% safe_ungroup() %>% as.data.frame()) testthat::expect_identical(nrow(duplicate_rows(test_df, .both_ways = FALSE)), 1L) testthat::expect_identical(test_df %>% duplicate_rows(x1, x2, x3, x4, .both_ways = TRUE) %>% nrow(), 3L) testthat::expect_identical(test_df %>% duplicate_rows(x1, x2, x3, x4, .both_ways = TRUE) %>% nrow(), 3L) testthat::expect_identical(test_df %>% dplyr::group_by(group) %>% duplicate_rows(x2, .both_ways = TRUE) %>% nrow(), 2L) testthat::expect_identical(test_df %>% dplyr::group_by(group) %>% duplicate_rows(.both_ways = TRUE) %>% nrow(), 2L) testthat::expect_identical(test_df %>% duplicate_rows(x2, .both_ways = TRUE) %>% nrow(), 6L) testthat::expect_identical(test_df %>% duplicate_rows(x1, x2, .both_ways = TRUE, .keep_all = TRUE, .add_count = TRUE), test_df %>% dplyr::add_count(x1, x2) %>% dplyr::filter(n > 1)) testthat::expect_identical(test_df %>% duplicate_rows(x1, x2, .both_ways = TRUE, .keep_all = FALSE, .add_count = TRUE), test_df %>% dplyr::select(x1, x2) %>% dplyr::add_count(x1, x2) %>% dplyr::filter(n > 1)) })