R Under development (unstable) (2025-09-04 r88794 ucrt) -- "Unsuffered Consequences"
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> library(reclin2)
> library(data.table)
> source("helpers.R")
> 
> pairs <- data.table(
+   .x = c(3,3,1,2,3,2), 
+   .y = c(4,5,1,2,1,3),
+   score = c(1,5,10,5,4,1)
+ )
> class(pairs) <- c("pairs", class(pairs))
> 
> t <- select_greedy(pairs, "select", "score")
> expect_equal(t$select, c(FALSE, TRUE, TRUE, TRUE, FALSE, FALSE))
> 
> t <- select_greedy(pairs, "select", "score", threshold = 20)
> expect_equal(t$select, c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE))
> 
> t <- select_greedy(pairs, "select", "score", threshold = 10)
> expect_equal(t$select, c(FALSE, FALSE, TRUE, FALSE, FALSE, FALSE))
> 
> # Test empty set pairs; regression test
> t <- select_greedy(pairs[FALSE,], "select", "score", threshold = 10)
> expect_equal(t$select, logical(0))
> 
> 
> 
> # Deduplication
> pairs <- data.table(
+   .x    = c(1,1,2,1),
+   .y    = c(2,3,3,4),
+   score = c(3,2,4,0)
+ )
> class(pairs) <- c("pairs", class(pairs))
> # Incorrect:
> t <- select_greedy(pairs, "select", "score")
> expect_equal(t$select, c(TRUE, FALSE, TRUE, FALSE))
> attr(pairs, "deduplication") <- TRUE
> t <- select_greedy(pairs, "select", "score")
> t
  Total number of pairs: 4 pairs

      .x    .y score select
   <num> <num> <num> <lgcl>
1:     1     2     3  FALSE
2:     1     3     2  FALSE
3:     2     3     4   TRUE
4:     1     4     0   TRUE
> expect_equal(t$select, c(FALSE, FALSE, TRUE, TRUE))
> 
> 
> proc.time()
   user  system elapsed 
   0.34    0.04    0.32