X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=pkg%2Ftests%2Ftestthat%2Ftest-computeFilaments.R;h=0c58c6969607f7dbbfce939354cc68373845824e;hp=6169a775ae71149b4e841ca4fc397204063ec440;hb=638f27f4296727aff62b56643beb9f42aa5b57ef;hpb=adf76c2a1fbeb7cfee31e1ce439a29a02373ee82

diff --git a/pkg/tests/testthat/test-computeFilaments.R b/pkg/tests/testthat/test-computeFilaments.R
index 6169a77..0c58c69 100644
--- a/pkg/tests/testthat/test-computeFilaments.R
+++ b/pkg/tests/testthat/test-computeFilaments.R
@@ -4,55 +4,51 @@ test_that("output is as expected on simulated series",
 {
 	data = getDataTest(150)
 
-
-
-
-#TODO: debug
-
-
-
-	# index 144-1 == 143 : serie type 2
-	pred = computeForecast(data, 143, "Neighbors", "Zero", predict_from=8,
-		horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, h_window=1)
+	# index 144 : serie type 3, yersteday type 2
+	pred = computeForecast(data, 144, "Neighbors", "Zero", predict_from=1,
+		horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, window=1, opera=TRUE)
 	f = computeFilaments(data, pred, 1, 8, limit=60, plot=FALSE)
 
-	# Expected output: 50-3-10 series of type 2, then 23 series of type 3 (closest next)
+	# Expected output: 50-3-10 series of type 2+1 = 3,
+	# then 23 series of type 3+1 %% 3 = 1 (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))
+	expect_equal(f$index, 144)
+	expect_true(all(I(f$neighb_indices) != 2))
 	for (i in 1:37)
 	{
-		expect_equal(I(f$neighb_indices[i]), 2)
+		expect_equal(I(f$neighb_indices[i]), 3)
 		expect_match(f$colors[i], f$colors[1])
 	}
 	for (i in 38:60)
 	{
-		expect_equal(I(f$neighb_indices[i]), 3)
+		expect_equal(I(f$neighb_indices[i]), 1)
 		expect_match(f$colors[i], f$colors[38])
 	}
 	expect_match(f$colors[1], "#1*")
 	expect_match(f$colors[38], "#E*")
 
-	# index 143-1 == 142 : serie type 1
-	pred = computeForecast(data, 143, "Neighbors", "Zero", predict_from=8,
-		horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, h_window=1)
+	# index 143 : serie type 2
+	pred = computeForecast(data, 143, "Neighbors", "Zero", predict_from=1,
+		horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, window=1, opera=TRUE)
 	f = computeFilaments(data, pred, 1, 8, limit=50, plot=FALSE)
 
-	# Expected output: 50-10-3 series of type 1, then 13 series of type 3 (closest next)
-	# NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[
+	# Expected output: 50-10-3 series of type 1+1=2,
+	# then 13 series of type 3+1 %% 3 = 1 (closest next)
+	# NOTE: -10 because only past tomorrows with no-NAs yerstedays
+	#        => exclude type 2 in [60,90[
 	expect_identical(length(f$neighb_indices), as.integer(50))
 	expect_identical(length(f$colors), as.integer(50))
 	expect_equal(f$index, 143)
-	expect_true(all(I(f$neighb_indices) != 2))
+	expect_true(all(I(f$neighb_indices) <= 2))
 	for (i in 1:37)
 	{
-		expect_equal(I(f$neighb_indices[i]), 1)
+		expect_equal(I(f$neighb_indices[i]), 2)
 		expect_match(f$colors[i], f$colors[1])
 	}
 	for (i in 38:50)
 	{
-		expect_equal(I(f$neighb_indices[i]), 3)
+		expect_equal(I(f$neighb_indices[i]), 1)
 		expect_match(f$colors[i], f$colors[38])
 	}
 	expect_match(f$colors[1], "#1*")