data("Income")

## find and some frequent itemsets
its <- eclat(Income, control = list(verbose = FALSE))[1:5]

expect_equal(
  support(its, Income),
  quality(its)$support
)
expect_equal(
  support(its, Income, type = "absolute"),
  quality(its)$support * length(Income)
)

expect_equal(
  support(its, Income, control = list("tidlists")),
  quality(its)$support
)
expect_equal(
  support(its, Income, type = "absolute", control = list("tidlists")),
  quality(its)$support * length(Income)
)

## weights are missing
expect_error(support(its, Income, weighted = TRUE))

## add weights
transactionInfo(Income)$weight <- 1
expect_equal(
  support(its, Income, weighted = TRUE),
  quality(its)$support
)

## check SunBai data
data(SunBai)

## compare weclat with eclat
data(Adult)
is1 <- eclat(Adult, control = list(verbose = FALSE))
is2 <- weclat(Adult, control = list(verbose = FALSE))
k <- match(is1, is2)
expect_equal(quality(is1)$support, quality(is2)$support[k])

## degenerate transactions
t <- new("transactions")
s <- weclat(t, control = list(verbose = FALSE))
# s
expect_equal(length(s), 0L)