+ time = as.POSIXct(i*15*60, origin="2007-01-01", tz="GMT")
+ exo = runif(4)
+ exo_hat = runif(4)
+ data$append(time, serie, level, exo, exo_hat)
+ }
+ data
+}
+
+test_that("output is as expected on simulated series",
+{
+ data = getDataTest(150)
+
+ # index 143 : serie type 2
+ pred = computeForecast(data, 143, "Neighbors", "Zero",
+ horizon=length(data$getSerie(1)), simtype="endo", h_window=1)
+ f = computeFilaments(data, pred, 1, limit=60, plot=FALSE)
+
+ # Expected output: 50-3-10 series of type 2, then 23 series of type 3 (closest next)
+ expect_identical(length(f$neighb_indices), as.integer(60))
+ expect_identical(length(f$colors), as.integer(60))
+ expect_equal(f$index, 143)
+ expect_true(all(I(f$neighb_indices) >= 2))
+ for (i in 1:37)
+ {
+ expect_equal(I(f$neighb_indices[i]), 2)
+ expect_match(f$colors[i], f$colors[1])
+ }
+ for (i in 38:60)
+ {
+ expect_equal(I(f$neighb_indices[i]), 3)
+ expect_match(f$colors[i], f$colors[38])