test_that("reconciliation works with one-to-one", {
primary_cluster_assignment <- c(
"Apple",
"Apple",
"Carrot",
"Carrot",
"Banana",
"Banana"
)
alt_cluster_assignment <- c("Dog", "Dog", "Cat", "Dog", "Fish", "Fish")
res <- reconcile_clusterings_mapping(
primary_cluster_assignment,
alt_cluster_assignment
)
expect_equal(
res$alt_recoded,
c("Carrot", "Carrot", "Banana", "Carrot", "Apple", "Apple")
)
})
test_that("reconciliation works with uneven numbers", {
primary_cluster_assignment <- c(
"Apple",
"Apple",
"Carrot",
"Carrot",
"Banana",
"Banana"
)
alt_cluster_assignment <- c("Dog", "Dog", "Cat", "Dog", "Parrot", "Fish")
expect_snapshot(
error = TRUE,
reconcile_clusterings_mapping(
primary_cluster_assignment,
alt_cluster_assignment,
one_to_one = TRUE
)
)
res <- reconcile_clusterings_mapping(
primary_cluster_assignment,
alt_cluster_assignment,
one_to_one = FALSE
)
expect_equal(
res$alt_recoded,
c("Apple", "Apple", "Carrot", "Apple", "Banana", "Banana")
)
})
test_that("reconciliation errors for uneven lengths", {
expect_snapshot(
error = TRUE,
reconcile_clusterings_mapping(
letters,
letters[1:10]
)
)
})
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