# vec_identify_runs ------------------------------------------------------------ test_that("vec_identify_runs() works with size zero input", { expect <- structure(integer(), n = 0L) expect_identical(vec_identify_runs(integer()), expect) expect_identical(vec_identify_runs(data.frame()), expect) }) test_that("works with atomic input of various types", { expect <- structure(c(1L, 1L, 2L, 2L, 3L), n = 3L) expect_identical(vec_identify_runs(c(TRUE, TRUE, FALSE, FALSE, TRUE)), expect) expect_identical(vec_identify_runs(c(1L, 1L, 2L, 2L, 3L)), expect) expect_identical(vec_identify_runs(c(1, 1, 2, 2, 3)), expect) expect_identical(vec_identify_runs(complex(real = c(1, 1, 2, 2, 2), imaginary = c(1, 1, 2, 2, 3))), expect) expect_identical(vec_identify_runs(c("a", "a", "b", "b", "c")), expect) expect_identical(vec_identify_runs(as.raw(c(1, 1, 2, 2, 3))), expect) expect_identical(vec_identify_runs(list(1, 1, 2, 2, 3)), expect) }) test_that("NA values are identical", { expect <- structure(c(1L, 1L), n = 1L) expect_identical(vec_identify_runs(c(NA, NA)), expect) expect_identical(vec_identify_runs(c(NA_integer_, NA_integer_)), expect) expect_identical(vec_identify_runs(c(NA_real_, NA_real_)), expect) expect_identical(vec_identify_runs(c(NA_complex_, NA_complex_)), expect) expect_identical(vec_identify_runs(c(NA_character_, NA_character_)), expect) # No NA type for raw expect_identical(vec_identify_runs(list(NULL, NULL)), expect) }) test_that("NA and NaN are different", { expect <- structure(c(1L, 2L), n = 2L) expect_identical(vec_identify_runs(c(NA_real_, NaN)), expect) }) test_that("normalizes character encodings", { encs <- encodings() x <- c(encs$utf8, encs$unknown, encs$latin1) expect_identical(vec_identify_runs(x), structure(rep(1L, 3), n = 1L)) }) test_that("errors on scalars", { expect_snapshot(error = TRUE, { vec_identify_runs(foobar()) }) }) test_that("works with data frames rowwise", { df <- data_frame(x = c(1, 1, 1, 2), y = c(1, 1, 2, 3)) expect <- structure(c(1L, 1L, 2L, 3L), n = 3L) expect_identical(vec_identify_runs(df), expect) df <- data_frame(x = c(1, 1, 1), y = c(2, 2, 2), z = c("b", "a", "a")) expect <- structure(c(1L, 2L, 2L), n = 2L) expect_identical(vec_identify_runs(df), expect) }) test_that("works with data frames with rows but no columns", { expect <- structure(rep(1L, 5), n = 1L) expect_identical(vec_identify_runs(new_data_frame(n = 5L)), expect) }) test_that("works with data frame columns", { col <- data_frame(a = c(1, 1, 2, 2), b = c(1, 2, 3, 3)) df <- data_frame(x = rep(1, 4), y = col) expect <- structure(c(1L, 2L, 3L, 3L), n = 3L) expect_identical(vec_identify_runs(df), expect) }) test_that("works with columns of various types", { # Use two columns to keep the data frame from being squashed to a vector add_col <- function(col) { x <- rep(1L, 5) data_frame(x = x, y = col) } expect <- structure(c(1L, 1L, 2L, 2L, 3L), n = 3L) expect_identical(vec_identify_runs(add_col(c(TRUE, TRUE, FALSE, FALSE, TRUE))), expect) expect_identical(vec_identify_runs(add_col(c(1L, 1L, 2L, 2L, 3L))), expect) expect_identical(vec_identify_runs(add_col(c(1, 1, 2, 2, 3))), expect) expect_identical(vec_identify_runs(add_col(complex(real = c(1, 1, 2, 2, 2), imaginary = c(1, 1, 2, 2, 3)))), expect) expect_identical(vec_identify_runs(add_col(c("a", "a", "b", "b", "c"))), expect) expect_identical(vec_identify_runs(add_col(as.raw(c(1, 1, 2, 2, 3)))), expect) expect_identical(vec_identify_runs(add_col(list(1, 1, 2, 2, 3))), expect) }) # vec_run_sizes ---------------------------------------------------------------- test_that("vec_run_sizes() works with size zero input", { expect_identical(vec_run_sizes(integer()), integer()) expect_identical(vec_run_sizes(data.frame()), integer()) }) test_that("works with atomic input of various types", { expect <- c(2L, 2L, 1L) expect_identical(vec_run_sizes(c(TRUE, TRUE, FALSE, FALSE, TRUE)), expect) expect_identical(vec_run_sizes(c(1L, 1L, 2L, 2L, 3L)), expect) expect_identical(vec_run_sizes(c(1, 1, 2, 2, 3)), expect) expect_identical(vec_run_sizes(complex(real = c(1, 1, 2, 2, 2), imaginary = c(1, 1, 2, 2, 3))), expect) expect_identical(vec_run_sizes(c("a", "a", "b", "b", "c")), expect) expect_identical(vec_run_sizes(as.raw(c(1, 1, 2, 2, 3))), expect) expect_identical(vec_run_sizes(list(1, 1, 2, 2, 3)), expect) }) test_that("NA values are identical", { expect <- 2L expect_identical(vec_run_sizes(c(NA, NA)), expect) expect_identical(vec_run_sizes(c(NA_integer_, NA_integer_)), expect) expect_identical(vec_run_sizes(c(NA_real_, NA_real_)), expect) expect_identical(vec_run_sizes(c(NA_complex_, NA_complex_)), expect) expect_identical(vec_run_sizes(c(NA_character_, NA_character_)), expect) # No NA type for raw expect_identical(vec_run_sizes(list(NULL, NULL)), expect) }) test_that("NA and NaN are different", { expect_identical(vec_run_sizes(c(NA_real_, NaN)), c(1L, 1L)) }) test_that("normalizes character encodings", { encs <- encodings() x <- c(encs$utf8, encs$unknown, encs$latin1) expect_identical(vec_run_sizes(x), 3L) }) test_that("errors on scalars", { expect_snapshot(error = TRUE, { vec_run_sizes(foobar()) }) }) test_that("works with data frames rowwise", { df <- data_frame(x = c(1, 1, 1, 2), y = c(1, 1, 2, 3)) expect_identical(vec_run_sizes(df), c(2L, 1L, 1L)) df <- data_frame(x = c(1, 1, 1), y = c(2, 2, 2), z = c("b", "a", "a")) expect_identical(vec_run_sizes(df), c(1L, 2L)) }) test_that("works with data frames with rows but no columns", { expect_identical(vec_run_sizes(new_data_frame(n = 5L)), 5L) }) test_that("works with data frame columns", { col <- data_frame(a = c(1, 1, 2, 2), b = c(1, 2, 3, 3)) df <- data_frame(x = rep(1, 4), y = col) expect_identical(vec_run_sizes(df), c(1L, 1L, 2L)) }) test_that("works with columns of various types", { # Use two columns to keep the data frame from being squashed to a vector add_col <- function(col) { x <- rep(1L, 5) data_frame(x = x, y = col) } expect <- c(2L, 2L, 1L) expect_identical(vec_run_sizes(add_col(c(TRUE, TRUE, FALSE, FALSE, TRUE))), expect) expect_identical(vec_run_sizes(add_col(c(1L, 1L, 2L, 2L, 3L))), expect) expect_identical(vec_run_sizes(add_col(c(1, 1, 2, 2, 3))), expect) expect_identical(vec_run_sizes(add_col(complex(real = c(1, 1, 2, 2, 2), imaginary = c(1, 1, 2, 2, 3)))), expect) expect_identical(vec_run_sizes(add_col(c("a", "a", "b", "b", "c"))), expect) expect_identical(vec_run_sizes(add_col(as.raw(c(1, 1, 2, 2, 3)))), expect) expect_identical(vec_run_sizes(add_col(list(1, 1, 2, 2, 3))), expect) }) # vec_locate_run_bounds -------------------------------------------------------- test_that("can locate run starts", { expect_identical( vec_locate_run_bounds(c(1, 3, 3, 1, 5, 5, 6)), c(1L, 2L, 4L, 5L, 7L) ) }) test_that("can locate run ends", { expect_identical( vec_locate_run_bounds(c(1, 3, 3, 1, 5, 5, 6), which = "end"), c(1L, 3L, 4L, 6L, 7L) ) }) test_that("vec_locate_run_bounds() works with size zero input", { expect_identical(vec_locate_run_bounds(integer(), which = "start"), integer()) expect_identical(vec_locate_run_bounds(integer(), which = "end"), integer()) }) test_that("vec_locate_run_bounds() validates `which`", { expect_snapshot(error = TRUE, { vec_locate_run_bounds(1, which = "x") }) expect_snapshot(error = TRUE, { vec_locate_run_bounds(1, which = 1) }) expect_snapshot(error = TRUE, { vec_locate_run_bounds(1, which = c("foo", "bar")) }) }) # vec_detect_run_bounds -------------------------------------------------------- test_that("can detect run starts", { expect_identical( vec_detect_run_bounds(c(1, 3, 3, 1, 5, 5, 6)), c(TRUE, TRUE, FALSE, TRUE, TRUE, FALSE, TRUE) ) }) test_that("can detect run ends", { expect_identical( vec_detect_run_bounds(c(1, 3, 3, 1, 5, 5, 6), which = "end"), c(TRUE, FALSE, TRUE, TRUE, FALSE, TRUE, TRUE) ) }) test_that("vec_detect_run_bounds() works with size zero input", { expect_identical(vec_detect_run_bounds(integer(), which = "start"), logical()) expect_identical(vec_detect_run_bounds(integer(), which = "end"), logical()) }) test_that("vec_detect_run_bounds() validates `which`", { expect_snapshot(error = TRUE, { vec_detect_run_bounds(1, which = "x") }) expect_snapshot(error = TRUE, { vec_detect_run_bounds(1, which = 1) }) expect_snapshot(error = TRUE, { vec_detect_run_bounds(1, which = c("foo", "bar")) }) })