Nothing
# Fine printing: print methods should SHOW the estimated networks (Nestimate
# style) -- a weight-range line and the labelled weight matrix -- not just an
# accessor menu.
test_that("print.var_result shows network blocks and weight ranges", {
d <- synth_single(n_t = 120, vars = c("A", "B", "C"))
fit <- fit_var(d, vars = attr(d, "vars"), id = "id")
out <- capture.output(print(fit))
expect_true(any(grepl("Temporal \\[directed\\]", out)))
expect_true(any(grepl("Contemporaneous \\[undirected\\]", out)))
expect_true(any(grepl("weights \\[", out)))
# the weight matrix is printed with variable labels
expect_true(any(grepl("\\bA\\b", out)))
})
test_that("print stays invisible and returns the object", {
d <- synth_single(n_t = 120, vars = c("A", "B", "C"))
fit <- fit_var(d, vars = attr(d, "vars"), id = "id")
expect_output(res <- withVisible(print(fit)))
expect_false(res$visible)
expect_identical(res$value, fit)
})
test_that(".ido_print_networks matches edges()/as_netobject orientation", {
d <- synth_single(n_t = 150, vars = c("A", "B", "C"))
fit <- fit_var(d, vars = attr(d, "vars"), id = "id")
g <- as_netobject(fit)
out <- capture.output(print(fit))
# directedness tags in the print reflect the netobject directedness
expect_equal(isTRUE(g$temporal$directed), TRUE)
expect_true(any(grepl("Temporal \\[directed\\]", out)))
expect_true(any(grepl("Contemporaneous \\[undirected\\]", out)))
})
test_that("an empty network prints a 'no non-zero edges' line, not an error", {
z <- matrix(0, 3, 3, dimnames = list(c("A", "B", "C"), c("A", "B", "C")))
out <- capture.output(.ido_print_net_block(z, "Temporal", directed = TRUE))
expect_true(any(grepl("no non-zero edges", out)))
})
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