options(cheapr.cores = 2)
test_that("subsetting", {
  set.seed(37) # Totally random number :)
  a <- rnorm(10^3)
  a[sample.int(10^3, 10)] <- Inf
  a[sample.int(10^3, 10)] <- -Inf
  # a[sample.int(10^3, 10)] <- NaN
  b <- sample(-100:100, 10^3, TRUE)
  c <- sample(letters, 10^3, TRUE)
  d <- complex(real = rnorm(10^3),
               imaginary = rnorm(10^3))
  e <- .Date(b)
  f <- .POSIXct(b)
  g <- as.POSIXlt(f)
  h <- as.factor(c)
  # i <- as.list(a)
  i <- vector("list", 10^3)
  for (k in seq_along(i)){
    i[[k]] <- c(a[k], b[k])
  }
  i
  j <- vapply(sample(letters, 10^3, TRUE), charToRaw, raw(1))
  k <- a > 0

  i1 <- sample.int(10^3)
  i2 <- sample.int(100, 10^4, TRUE)
  i3 <- i2
  i3[sample.int(length(i3), 100)] <- 0L
  i3[sample.int(length(i3), 100)] <- NA
  i4 <- -sample.int(100, 10^4, TRUE)
  i4[sample.int(length(i4), 100)] <- 0L
  i5 <- sample(0:5e03, 10^4, TRUE)
  i6 <- 0L
  i7 <- NA_integer_
  i8 <- sample.int(10^3, 10^5, TRUE)
  i9 <- 3:10^3
  i10 <- 1e03:3
  i11 <- 1:10^3
  i12 <- 11:500
  i12 <- 1:333
  i13 <- 2e03:11
  i14 <- 1e03:1
  i15 <- 450:1
  i16 <- -1:-200
  i17 <- -200:-1
  i18 <- 0:-233
  i19 <- -233:0
  i20 <- -255:-555
  i21 <- -500:-3000
  i22 <- -2000:-3000
  i23 <- 2000:3000
  i24 <- -1:-1000
  i25 <- -111:-1000
  i26 <- b >= 0

  objs_to_test <- letters[1:11]
  ind_to_test <- paste0("i", 1:26)

  for (obj in objs_to_test){
    if (!is.raw(get(obj))){
      assign(obj, `names<-`(na_insert(get(obj), n = 111), sample.int(1000)))
    }
  }
  # Vectors lose their names here
  df <- data.frame(a, b, c, d, e, f, g, h)
  df$i <- i
  df$j <- j
  df$k <- k

  test_df <- expand.grid(objs_to_test, ind_to_test, stringsAsFactors = FALSE)
  names(test_df) <- c("obj", "ind")
  for (ii in seq_len(nrow(test_df))){
    r_obj <- get(test_df$obj[ii])
    r_ind <- get(test_df$ind[ii])
    expect_identical(
     sset(r_obj, r_ind),
     r_obj[r_ind]
    )
  }
  # Base data frame subset except row names are reset
  base_sset <- function(...){
    out <- `[`(...)
    attr(out, "row.names") <- .set_row_names(nrow(out))
    out
  }
  for (ind in ind_to_test){
    r_ind <- get(ind)
    expect_identical(
     sset(df, r_ind),
     base_sset(df, r_ind, 1:ncol(df), drop = FALSE)
    )
  }

  # Subsetting no rows
  expect_identical(
    sset(df, 0),
    base_sset(df, 0, 1:ncol(df), drop = FALSE)
  )

  # Subsetting data frame with 0 cols
  expect_identical(
    sset(df, 10:0, j = 0),
    base_sset(df, 10:1, 0, drop = FALSE)
  )

  expect_identical(
    sset(df, 0, 0),
    base_sset(df, 0, 0, drop = FALSE)
  )

  empty_df <- df[0, , drop = FALSE]

  expect_identical(
    lapply(empty_df, `[`, 0:10),
    lapply(empty_df, sset, 0:10)
  )
  expect_identical(
    lapply(df, `[`, 0),
    lapply(df, sset, 0)
  )
  expect_identical(
    lapply(empty_df, `[`, NA_integer_),
    lapply(empty_df, sset, NA_integer_)
  )

  expect_identical(
    sset(empty_df, 0:20),
    base_sset(empty_df, 0:20, 1:ncol(empty_df), drop = FALSE)
  )
})