dplyr: A Grammar of Data Manipulation

test_that("distinct equivalent to local unique when keep_all is TRUE", {
  df <- data.frame(
    x = c(1, 1, 1, 1),
    y = c(1, 1, 2, 2),
    z = c(1, 2, 1, 2)
  )

  expect_equal(distinct(df), unique(df))
})

test_that("distinct for single column works as expected (#1937)", {
  df <- tibble(
    x = c(1, 1, 1, 1),
    y = c(1, 1, 2, 2),
    z = c(1, 2, 1, 2)
  )

  expect_equal(distinct(df, x, .keep_all = FALSE), unique(df["x"]))
  expect_equal(distinct(df, y, .keep_all = FALSE), unique(df["y"]))
})

test_that("distinct works for 0-sized columns (#1437)", {
  df <- tibble(x = 1:10) %>% select(-x)
  ddf <- distinct(df)
  expect_equal(df_n_col(ddf), 0L)
})

test_that("if no variables specified, uses all", {
  df <- tibble(x = c(1, 1), y = c(2, 2))
  expect_equal(distinct(df), tibble(x = 1, y = 2))
})

test_that("distinct keeps only specified cols", {
  df <- tibble(x = c(1, 1, 1), y = c(1, 1, 1))
  expect_equal(df %>% distinct(x), tibble(x = 1))
})

test_that("unless .keep_all = TRUE", {
  df <- tibble(x = c(1, 1, 1), y = 3:1)

  expect_equal(df %>% distinct(x), tibble(x = 1))
  expect_equal(df %>% distinct(x, .keep_all = TRUE), tibble(x = 1, y = 3L))
})

test_that("distinct doesn't duplicate columns", {
  df <- tibble(a = 1:3, b = 4:6)

  expect_named(df %>% distinct(a, a), "a")
  expect_named(df %>% group_by(a) %>% distinct(a), "a")
})

test_that("grouped distinct always includes group cols", {
  df <- tibble(g = c(1, 2), x = c(1, 2))

  out <- df %>% group_by(g) %>% distinct(x)
  expect_named(out, c("g", "x"))
})

test_that("empty grouped distinct equivalent to empty ungrouped", {
  df <- tibble(g = c(1, 2), x = c(1, 2))

  df1 <- df %>% distinct() %>% group_by(g)
  df2 <- df %>% group_by(g) %>% distinct()

  expect_equal(df1, df2)
})

test_that("distinct on a new, mutated variable is equivalent to mutate followed by distinct", {
  df <- tibble(g = c(1, 2), x = c(1, 2))

  df1 <- df %>% distinct(aa = g * 2)
  df2 <- df %>% mutate(aa = g * 2) %>% distinct(aa)

  expect_equal(df1, df2)
})

test_that("distinct on a new, copied variable is equivalent to mutate followed by distinct (#3234)", {
  df <- tibble(g = c(1, 2), x = c(1, 2))

  df1 <- df %>% distinct(aa = g)
  df2 <- df %>% mutate(aa = g) %>% distinct(aa)

  expect_equal(df1, df2)
})

test_that("distinct on a dataframe or tibble with columns of type list throws an error", {
  df <- tibble(
    a = c("1", "1", "2", "2", "3", "3"),
    b = list("A")
  )
  df2 <- data.frame(x = 1:5, y = I(list(1:3, 2:4, 3:5, 4:6, 5:7)))

  expect_identical(df2 %>% distinct(), df2)
  expect_identical(df %>% distinct(), df %>% slice(c(1, 3, 5)))
})

test_that("distinct handles 0 columns edge case (#2954)", {
  d <- select(data.frame(x= c(1, 1)), one_of(character(0)))
  res <- distinct(d)
  expect_equal(nrow(res), 1L)

  expect_equal(nrow(distinct(tibble())), 0L)
})

test_that("distinct respects order of the specified variables (#3195, #6156)",{
  d <- data.frame(x = 1:2, y = 3:4)
  expect_named(distinct(d, y, x), c("y", "x"))
})

test_that("distinct adds grouping variables to front if missing",{
  d <- data.frame(x = 1:2, y = 3:4)
  expect_named(distinct(group_by(d, y), x), c("y", "x"))
  expect_named(distinct(group_by(d, y), x, y), c("x", "y"))
})

test_that("distinct() understands both NA variants (#4516)", {
  df <- data.frame(col_a = c(1, NA, NA))
  df$col_a <- df$col_a+0
  df$col_a[2] <- NA_real_
  expect_equal(nrow(distinct(df)), 2L)

  df_1 <- data.frame(col_a = c(1, NA))
  df_2 <- data.frame(col_a = c(1, NA))

  df_1$col_a <- df_1$col_a+0
  df_2$col_a <- df_2$col_a+0

  df_1$col_a[2] <- NA
  expect_equal(nrow(setdiff(df_1, df_2)), 0L)
})

test_that("distinct() handles auto splicing", {
  expect_equal(
    iris %>% distinct(Species),
    iris %>% distinct(data.frame(Species=Species))
  )

  expect_equal(
    iris %>% distinct(Species),
    iris %>% distinct(pick(Species))
  )

  expect_equal(
    iris %>% mutate(across(starts_with("Sepal"), round)) %>% distinct(Sepal.Length, Sepal.Width),
    iris %>% distinct(across(starts_with("Sepal"), round))
  )
})

test_that("distinct preserves grouping", {
  gf <- group_by(tibble(x = c(1, 1, 2, 2), y = x), x)

  i <- count_regroups(out <- distinct(gf))
  expect_equal(i, 0)
  expect_equal(group_vars(out), "x")

  i <- count_regroups(out <- distinct(gf, x = x + 2))
  expect_equal(i, 1)
  expect_equal(group_vars(out), "x")
})

test_that("distinct() preserves attributes on bare data frames (#6318)", {
  df <- vctrs::data_frame(x = c(1, 1))
  attr(df, "foo") <- "bar"

  out <- distinct(df, x)
  expect_identical(attr(out, "foo"), "bar")

  out <- distinct(df, y = x + 1L)
  expect_identical(attr(out, "foo"), "bar")
})

# Errors ------------------------------------------------------------------

test_that("distinct errors when selecting an unknown column (#3140)", {
  expect_snapshot({
    df <- tibble(g = c(1, 2), x = c(1, 2))

    (expect_error(df %>% distinct(aa, x)))
    (expect_error(df %>% distinct(aa, bb)))
    (expect_error(df %>% distinct(.data$aa)))

    (expect_error(df %>% distinct(y = a + 1)))
  })
})