Nothing
test_that("missing argument fails", {
f <- function(z) {
check_missing(z)
}
expect_error(
f(),
"Argument `z` is missing\\."
)
})
test_that("missing values fail", {
f <- function(z) {
check_na(z)
}
expect_error(
f(c(1, 2, NA)),
"Argument `z` must not contain missing values\\."
)
})
test_that("invalid model type fails", {
expect_error(
check_model_type("unknown"),
"Argument `type` must be either"
)
})
test_that("invalid scaling options fail", {
expect_error(
check_model_scaling("unknown"),
"Elements of `scaling` must be either"
)
})
test_that("invalid class fails", {
f <- function(z) {
check_class(z, "test_class")
}
expect_error(
f(z = 1),
"Argument `z` must be a <test_class> object\\."
)
})
test_that("non-sequence data tna fails", {
f <- function(z) {
check_tna_seq(z)
}
expect_error(
f(z = mock_tna),
"Argument `z` must be a <tna> object created from sequence data\\."
)
})
test_that("invalid centrality measures fail", {
expect_error(
check_measures("unknown"),
"Argument `measures` contains invalid centrality measures:"
)
})
test_that("negative values fail", {
opts <- expand.grid(
type = c("integer", "numeric"),
strict = c(FALSE, TRUE),
scalar = c(FALSE, TRUE)
)
f <- function(i, z) {
check_values(
z,
type = opts[i, 1],
strict = opts[i, 2],
scalar = opts[i, 3]
)
}
expect_error(
f(i = 1, z = -1),
"Argument `z` must be a non-negative <integer> vector\\."
)
expect_error(
f(i = 2, z = -1),
"Argument `z` must be a non-negative <numeric> vector\\."
)
expect_error(
f(i = 3, z = -1),
"Argument `z` must be a positive <integer> vector\\."
)
expect_error(
f(i = 4, z = -1),
"Argument `z` must be a positive <numeric> vector\\."
)
expect_error(
f(i = 5, z = -1),
"Argument `z` must be a non-negative <integer>\\."
)
expect_error(
f(i = 6, z = -1),
"Argument `z` must be a non-negative <numeric> value\\."
)
expect_error(
f(i = 7, z = -1),
"Argument `z` must be a positive <integer>\\."
)
expect_error(
f(i = 8, z = -1),
"Argument `z` must be a positive <numeric> value\\."
)
})
test_that("invalid range check fails", {
opts <- expand.grid(
type = c("integer", "numeric"),
scalar = c(FALSE, TRUE)
)
f <- function(i, z) {
check_range(z, type = opts[i, 1], scalar = opts[i, 2], min = -2, max = 2)
}
expect_error(
f(i = 1, z = 3),
"Argument `z` must only contain <integer> values between -2 and 2\\."
)
expect_error(
f(i = 2, z = 4),
"Argument `z` must only contain <numeric> values between -2 and 2\\."
)
expect_error(
f(i = 3, z = -4),
"Argument `z` must be a single <integer> between -2 and 2\\."
)
expect_error(
f(i = 4, z = -3),
"Argument `z` must be a single <numeric> value between -2 and 2\\."
)
})
test_that("invalid logical fails", {
f <- function(z) {
check_flag(z)
}
expect_error(
f(data.frame()),
"Argument `z` must be a single <logical> value\\."
)
})
test_that("invalid plotting layout fails", {
expect_error(
check_layout(mock_tna, "unknown"),
"A <character> layout must be either \"circle\", \"groups\", or \"spring\"\\."
)
expect_error(
check_layout(mock_tna, matrix(0, 2, 1000)),
"A <matrix> layout must have two columns:"
)
expect_error(
check_layout(mock_tna, matrix(0, 1000, 2)),
"A <matrix> layout must have exactly one row for each node"
)
expect_error(
check_layout(mock_tna, data.frame()),
"Argument `layout` must be a <character> string, a <matrix>, or a <function>\\."
)
})
test_that("cluster check fails on invalid clusters", {
expect_error(
check_clusters(mmm_model, i = 1, j = 1),
"Arguments `i` and `j` must be different\\."
)
expect_error(
check_clusters(mmm_model, i = 1, j = 4),
"Argument `j` must be between 1 and 3 when of type <numeric>\\."
)
expect_error(
check_clusters(mmm_model, i = c(2, 3), j = 1),
"Argument `i` must be a <numeric> or a <character> vector of length 1\\."
)
expect_error(
check_clusters(mmm_model, i = 1, j = "Cluster 4"),
"Argument `j` must be a name of `x` when of type <character>\\."
)
})
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