context("Check that computeFilaments behaves as expected")
-test_that("output is as expected on simulated series",
+getDataTest = function(n, shift)
{
x = seq(0,10,0.1)
L = length(x)
#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))
{
serie[sample(seq_len(L),1)] = NA
series[[i]] = list("level"=level,"serie"=serie) #no need for more
}
- data = new("Data", data=series)
+ if (shift)
+ {
+ # 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)])
+ }
+ new("Data", data=series)
+}
+
+test_that("output is as expected on simulated series",
+{
+ data = getDataTest(150, FALSE)
# index 142 : serie type 2
- f2 = computeFilaments(data, 142, limit=60, plot=FALSE)
+ f = 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)])
+ expect_identical(length(f$indices), 60)
+ expect_identical(length(f$colors), 60)
+ for (i in 1:22)
+ {
+ expect_identical((f$indices[i] %% 3) + 1, 3)
+ expect_match(f2$colors[i], f$colors[1])
+ }
+ for (i in 23:60)
+ {
+ expect_identical((f$indices[i] %% 3) + 1, 2)
+ expect_match(f2$colors[i], f$colors[23])
+ }
+ expect_match(colors[1], "...")
+ expect_match(colors[23], "...")
+})
+
+test_that("output is as expected on simulated series",
+{
+ data = getDataTest(150, TRUE)
+
# index 143 : serie type 3
- f3 = computeFilaments(data, 143, limit=70, plot=FALSE)
+ f = 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
- #
- #
+ expect_identical(length(f$indices), 70)
+ expect_identical(length(f$colors), 70)
+ for (i in 1:22)
+ {
+ # -1 because of the initial shift
+ expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 2)
+ expect_match(f$colors[i], f$colors[1])
+ }
+ for (i in 23:70)
+ {
+ expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 3)
+ expect_match(f$colors[i], f$colors[23])
+ }
+ expect_match(colors[1], "...")
+ expect_match(colors[23], "...")
+})
+
+test_that("output is as expected on simulated series",
+{
+ data = getDataTest(150, TRUE)
+
# index 144 : serie type 1
- f1 = computeFilaments(data, 144, limit=50, plot=FALSE)
+ f = 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) )
+ expect_identical(length(f$indices), 50)
+ expect_identical(length(f$colors), 50)
+ for (i in 1:2)
+ {
+ # -1 because of the initial shift
+ expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 3)
+ expect_match(f$colors[i], f$colors[1])
+ }
+ for (i in 3:50)
+ {
+ expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 1)
+ expect_match(f$colors[i], f$colors[3])
+ }
+ expect_match(colors[1], "...")
+ expect_match(colors[3], "...")
})