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# Title : Minimum Cost Arborescense
# File : R/minimumspanningtree.R
# Exported : MinCostArborescence
# Valid Algorithms : "MinCostArborescence" (default)
# Runners : MinCostArborescenceRunner
# 1) Ensure runner functions run without error and return the "expected
# objects".
test_that("min cost arborescense runner", {
s <- c(1, 2, 3, 4, 5, 6)
t <- c(2, 3, 4, 5, 6, 1)
d <- c(1, 10, 3, 2, 0, 8)
out <- MinCostArborescenceRunner(s, t, d, 1, 6)
expect_true(is.list(out))
expect_length(out, 3)
expect_equal(length(out[[1]]), length(out[[2]]))
expect_length(out[[3]], 1)
})
test_that("min cost arborescense functions", {
s <- c(1, 2, 3, 4, 5, 6)
t <- c(2, 3, 4, 5, 6, 1)
d <- c(1, 10, 3, 2, 0, 8)
# 2) Ensure exported functions run without error and return the "expected
# objects".
out <- MinCostArborescence(s, t, d, 1, 6)
expect_true(is.list(out))
expect_length(out, 3)
expect_equal(length(out[[1]]), length(out[[2]]))
expect_length(out[[3]], 1)
expect_named(out, c("sources", "targets", "cost"))
# 3) Ensure exported functions with `algorithm=`default runs without error, and
# returns the same if passed no argument
out2 <- MinCostArborescence(s, t, d, 1, 6, algorithm = "MinCostArborescence")
expect_identical(out, out2)
# 4) Ensure exported functions work with all valid algorithms.
# No alternate algorithsm
# 5) Ensure exported functions fail if passed an invalid algorithm.
expect_error(MinCostArborescence(s, t, d, 1, 6, algorithm = "abc"),
"Invalid")
expect_error(MinCostArborescence(s, t, d, 1, 6, algorithm = 1),
"must be a string")
expect_error(MinCostArborescence(s, t, d, 1, 6, algorithm = NULL),
"must be a string")
})
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