context("Test .compute_distinct_score")
## .compute_distinct_score is correct
test_that("(Basic) .compute_distinct_score works", {
# load("tests/assets/test_data1.RData")
load("../assets/test_data1.RData")
score_1 <- test_data$score_1
score_2 <- test_data$score_2
common_score <- test_data$common_score
res <- .compute_distinct_score(score_1, score_2, common_score)
expect_true(is.list(res))
expect_true(all(sort(names(res)) == sort(c("distinct_score_1", "distinct_score_2"))))
expect_true(all(dim(res$distinct_score_1) == dim(score_1)))
expect_true(all(dim(res$distinct_score_2) == dim(score_2)))
})
test_that("(Math) .compute_distinct_score generates orthogonal distinct matrices", {
# load("tests/assets/test_data1.RData")
bool_vec <- sapply(1:4, function(i){
load(paste0("../assets/test_data", i, ".RData"))
score_1 <- test_data$score_1
score_2 <- test_data$score_2
common_score <- test_data$common_score
res <- .compute_distinct_score(score_1, score_2, common_score)
all(abs(crossprod(res$distinct_score_1, res$distinct_score_2)) <= 1e-6)
})
expect_true(all(bool_vec))
})
test_that("(Math) .compute_distinct_score generates equal-lengthed matrices when fix_tilt_perc = T", {
# load("tests/assets/test_data1.RData")
bool_vec <- sapply(1:4, function(i){
load(paste0("../assets/test_data", i, ".RData"))
score_1 <- test_data$score_1
score_2 <- test_data$score_2
common_score <- test_data$common_score
res <- .compute_distinct_score(score_1, score_2, common_score)
diff_vec1 <- sapply(1:ncol(common_score), function(k){
.l2norm(common_score[,k] - res$distinct_score_1[,k])
})
diff_vec2 <- sapply(1:ncol(common_score), function(k){
.l2norm(common_score[,k] - res$distinct_score_2[,k])
})
sum(abs(diff_vec1 - diff_vec2)) <= 1e-6
})
expect_true(all(bool_vec))
})
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