Simplify plots: version OK with R6 classes

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

diff --git a/pkg/tests/testthat/test.computeFilaments.R b/pkg/tests/testthat/test.computeFilaments.R
index 46f2e3f..34e07f7 100644 (file)
--- a/pkg/tests/testthat/test.computeFilaments.R
+++ b/pkg/tests/testthat/test.computeFilaments.R
@@ -1,7 +1,13 @@
 context("Check that computeFilaments behaves as expected")
 
-test_that("output is as expected on simulated series",
+#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$new()
        x = seq(0,10,0.1)
        L = length(x)
        s1 = cos(x)
@@ -11,41 +17,64 @@ test_that("output is as expected on simulated series",
        #sum((s1-s3)^2) == 57.03051
        #sum((s2-s3)^2) == 40.5633
        s = list( s1, s2, s3 )
-       n = 150
        series = list()
        for (i in seq_len(n))
        {
-               index = (i%%3) + 1
-               level = mean(s[[index]])
-               serie = s[[index]] - level + rnorm(L,sd=0.05)
+               serie = s[[I(i)]] + rnorm(L,sd=0.01)
+               level = mean(serie)
+               serie = serie - level
                # 10 series with NAs for index 2
-               if (index == 2 && i >= 60 && i<= 90)
+               if (I(i) == 2 && i >= 60 && i<= 90)
                        serie[sample(seq_len(L),1)] = NA
-               series[[i]] = list("level"=level,"serie"=serie) #no need for more
+               data$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])
        }
-       data = new("Data", data=series)
+       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)
 
-       # 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) )
+       # 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*")
 })