Simplify plots: version OK with R6 classes

[talweg.git] / pkg / tests / testthat / test.computeFilaments.R

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$new()
	x = seq(0,10,0.1)
	L = length(x)
	s1 = cos(x)
	s2 = sin(x)
	s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
	#sum((s1-s2)^2) == 97.59381
	#sum((s1-s3)^2) == 57.03051
	#sum((s2-s3)^2) == 40.5633
	s = list( s1, s2, s3 )
	series = list()
	for (i in seq_len(n))
	{
		serie = s[[I(i)]] + rnorm(L,sd=0.01)
		level = mean(serie)
		serie = serie - level
		# 10 series with NAs for index 2
		if (I(i) == 2 && i >= 60 && i<= 90)
			serie[sample(seq_len(L),1)] = NA
		data$append(c(), serie, level, c(), c()) #no need for more
	}
	data
}

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: 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
	f = computeFilaments(data, 142, 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*")
})