X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2Ftests%2Ftestthat%2Ftest.computeFilaments.R;h=ec39340af424847e263d91108eeb591c9d32e779;hb=ff5df8e310b73883565761ab4b1aa5a0672e9f27;hp=ca2fb692746fd8e042e42c3733b8d7454017ecf7;hpb=af3b84f4cacade7d83221ca0249b546c50ddf340;p=talweg.git

diff --git a/pkg/tests/testthat/test.computeFilaments.R b/pkg/tests/testthat/test.computeFilaments.R
index ca2fb69..ec39340 100644
--- a/pkg/tests/testthat/test.computeFilaments.R
+++ b/pkg/tests/testthat/test.computeFilaments.R
@@ -8,15 +8,15 @@ I = function(i)
 getDataTest = function(n)
 {
 	data = Data$new()
-	x = seq(0,10,0.1)
-	L = length(x)
+	x = seq(0,9.5,0.1)
+	L = length(x) #96 1/4h
 	s1 = cos(x)
 	s2 = sin(x)
 	s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
-	#sum((s1-s2)^2) == 97.59381
-	#sum((s1-s3)^2) == 57.03051
-	#sum((s2-s3)^2) == 40.5633
-	s = list( s1, s2, s3 )
+	#sum((s1-s2)^2) == 96
+	#sum((s1-s3)^2) == 58
+	#sum((s2-s3)^2) == 38
+	s = list(s1, s2, s3)
 	series = list()
 	for (i in seq_len(n))
 	{
@@ -26,7 +26,10 @@ getDataTest = function(n)
 		# 10 series with NAs for index 2
 		if (I(i) == 2 && i >= 60 && i<= 90)
 			serie[sample(seq_len(L),1)] = NA
-		data$append(c(), serie, level, c(), c()) #no need for more
+		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
 }
@@ -36,45 +39,49 @@ test_that("output is as expected on simulated series",
 	data = getDataTest(150)
 
 	# index 143 : serie type 2
-	f = computeFilaments(data, 143, limit=60, plot=FALSE)
-	# Expected output: 23 series of type 3 (closer), then 50-3-10 series of type 2, then 143
-	expect_identical(length(f$indices), as.integer(61)) #61 because result also contain today
-	expect_identical(length(f$colors),  as.integer(61))
-	expect_true(all(I(f$indices) >= 2))
-	for (i in 1:23)
+	pred = computeForecast(data, 143, "Neighbors", "Zero",
+		horizon=length(data$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$indices[i]), 3)
+		expect_equal(I(f$neighb_indices[i]), 2)
 		expect_match(f$colors[i], f$colors[1])
 	}
-	for (i in 24:60)
+	for (i in 38:60)
 	{
-		expect_equal(I(f$indices[i]), 2)
-		expect_match(f$colors[i], f$colors[24])
+		expect_equal(I(f$neighb_indices[i]), 3)
+		expect_match(f$colors[i], f$colors[38])
 	}
-	expect_equal(f$indices[61], 143)
-	expect_match(f$colors[61], "#FF0000") #special color: current day in red
-	expect_match(f$colors[1], "#E*")
-	expect_match(f$colors[24], "#1*")
+	expect_match(f$colors[1], "#1*")
+	expect_match(f$colors[38], "#E*")
 
 	# index 142 : serie type 1
-	f = computeFilaments(data, 142, limit=50, plot=FALSE)
-	# Expected output: 13 series of type 3 (closer), then 50-10-3 series of type 1, then 142
+	pred = computeForecast(data, 142, "Neighbors", "Zero",
+		horizon=length(data$getSerie(1)), simtype="endo", h_window=1)
+	f = computeFilaments(data, pred, 1, limit=50, plot=FALSE)
+
+	# Expected output: 50-10-3 series of type 1, then 13 series of type 3 (closest next)
 	# NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[
-	expect_identical(length(f$indices), as.integer(51))
-	expect_identical(length(f$colors), as.integer(51))
-	expect_true(all(I(f$indices) != 2))
-	for (i in 1:13)
+	expect_identical(length(f$neighb_indices), as.integer(50))
+	expect_identical(length(f$colors), as.integer(50))
+	expect_equal(f$index, 142)
+	expect_true(all(I(f$neighb_indices) != 2))
+	for (i in 1:37)
 	{
-		expect_equal(I(f$indices[i]), 3)
+		expect_equal(I(f$neighb_indices[i]), 1)
 		expect_match(f$colors[i], f$colors[1])
 	}
-	for (i in 14:50)
+	for (i in 38:50)
 	{
-		expect_equal(I(f$indices[i]), 1)
-		expect_match(f$colors[i], f$colors[14])
+		expect_equal(I(f$neighb_indices[i]), 3)
+		expect_match(f$colors[i], f$colors[38])
 	}
-	expect_equal(f$indices[51], 142)
-	expect_match(f$colors[51], "#FF0000")
-	expect_match(f$colors[1], "#E*")
-	expect_match(f$colors[14], "#1*")
+	expect_match(f$colors[1], "#1*")
+	expect_match(f$colors[38], "#E*")
 })