X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=pkg%2Ftests%2Ftestthat%2Ftest.computeFilaments.R;fp=pkg%2Ftests%2Ftestthat%2Ftest.computeFilaments.R;h=0000000000000000000000000000000000000000;hb=3ddf1c12af0c167fe7d3bb59e63258550270cfc5;hp=ec39340af424847e263d91108eeb591c9d32e779;hpb=102bcfda4afbb5cfee885cbee0f55545624168fd;p=talweg.git

diff --git a/pkg/tests/testthat/test.computeFilaments.R b/pkg/tests/testthat/test.computeFilaments.R
deleted file mode 100644
index ec39340..0000000
--- a/pkg/tests/testthat/test.computeFilaments.R
+++ /dev/null
@@ -1,87 +0,0 @@
-context("Check that computeFilaments behaves as expected")
-
-#shorthand: map 1->1, 2->2, 3->3, 4->1, ..., 149->2, 150->3
-I = function(i)
-	(i-1) %% 3 + 1
-
-#MOCK data; NOTE: could be in inst/testdata as well
-getDataTest = function(n)
-{
-	data = Data$new()
-	x = seq(0,9.5,0.1)
-	L = length(x) #96 1/4h
-	s1 = cos(x)
-	s2 = sin(x)
-	s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
-	#sum((s1-s2)^2) == 96
-	#sum((s1-s3)^2) == 58
-	#sum((s2-s3)^2) == 38
-	s = list(s1, s2, s3)
-	series = list()
-	for (i in seq_len(n))
-	{
-		serie = s[[I(i)]] + rnorm(L,sd=0.01)
-		level = mean(serie)
-		serie = serie - level
-		# 10 series with NAs for index 2
-		if (I(i) == 2 && i >= 60 && i<= 90)
-			serie[sample(seq_len(L),1)] = NA
-		time = as.POSIXct(i*15*60, origin="2007-01-01", tz="GMT")
-		exo = runif(4)
-		exo_hat = runif(4)
-		data$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$colors[38])
-	}
-	expect_match(f$colors[1], "#1*")
-	expect_match(f$colors[38], "#E*")
-
-	# index 142 : serie type 1
-	pred = computeForecast(data, 142, "Neighbors", "Zero",
-		horizon=length(data$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$neighb_indices), as.integer(50))
-	expect_identical(length(f$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$neighb_indices[i]), 1)
-		expect_match(f$colors[i], f$colors[1])
-	}
-	for (i in 38:50)
-	{
-		expect_equal(I(f$neighb_indices[i]), 3)
-		expect_match(f$colors[i], f$colors[38])
-	}
-	expect_match(f$colors[1], "#1*")
-	expect_match(f$colors[38], "#E*")
-})