context("Check that computeFilaments behaves as expected")

test_that("output is as expected on simulated series",
{
	x = seq(0,10,0.1)
	L = length(x)
	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 )
	n = 150
	series = list()
	for (i in seq_len(n))
	{
		index = (i%%3) + 1
		level = mean(s[[index]])
		serie = s[[index]] - level + rnorm(L,sd=0.05)
		# 10 series with NAs for index 2
		if (index == 2 && i >= 60 && i<= 90)
			serie[sample(seq_len(L),1)] = NA
		series[[i]] = list("level"=level,"serie"=serie) #no need for more
	}
	data = new("Data", data=series)

	# index 142 : serie type 2
	f2 = computeFilaments(data, 142, limit=60, plot=FALSE)
	# Expected output: 22 series of type 3 (closer), then 50-2-10 series of type 2
	#
	#
	#
	#
	#
	#
	# Simulate shift at origin when predict_at > 0
	series[2:(n+1)] = series[1:n]
	series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
	# index 143 : serie type 3
	f3 = computeFilaments(data, 143, limit=70, plot=FALSE)
	# Expected output: 22 series of type 2 (closer) then 50-2 series of type 3
	# ATTENTION au shift
	#
	#
	# index 144 : serie type 1
	f1 = computeFilaments(data, 144, limit=50, plot=FALSE)
	# Expected output: 2 series of type 3 (closer), then 50-2 series of type 1
	#
	expect_that( diff_norm, is_less_than(0.5) )
})