test_that("compute_oscores",{
#test1
table1 = tibble::tibble(start = c(0.30, 0.55, 1.5, 2.5), end = c(0.51, 0.7, 2.2, 3),
sound.files = c(rep("JS001.wav",2),rep("JS002.wav",2)) , pos =c(1,2,3,4), note_label = "Curve")
table2 = tibble::tibble(start = c(0.25, 0.65, 1.6, 2.4), end = c(0.45, 0.75, 2.1, 2.9),
sound.files = c(rep("JS001.wav",2),rep("JS002.wav",2)), pos =c(1,2,3,4), note_label = "Unclassifed")
output = compute_oscores(table1,table2)
#compute answer
truth_tables = list(
table1[1:2,],
table1[3:4,]
)
comp_tables = list(
table2[1:2,],
table2[3:4,]
)
table_scores = list()
for(i in 1:2){
table_scores[[i]] = compute_oscores_dep2(truth_tables[[i]],comp_tables[[i]])
}
score_table = do.call(rbind, table_scores)
ans = colSums(score_table)
expect_equal(output,ans)
#test2, recordings not in the same order
table1 = tibble::tibble(start = c(0.30, 0.55, 1.5, 2.5), end = c(0.51, 0.7, 2.2, 3),
sound.files = c(rep("JS001.wav",2),rep("JS002.wav",2)) , pos =c(1,2,3,4), note_label = "Curve")
table2 = tibble::tibble(start = c(1.6, 2.4, 0.25, 0.65), end = c(2.1, 2.9, 0.45, 0.75),
sound.files = c(rep("JS002.wav",2),rep("JS001.wav",2)), pos =c(1,2,3,4), note_label = "Unclassifed")
output = compute_oscores(table1,table2)
#compute answer
table1 = table1[order(table1$sound.files),]
table2 = table2[order(table2$sound.files),]
truth_tables = list(
table1[1:2,],
table1[3:4,]
)
comp_tables = list(
table2[1:2,],
table2[3:4,]
)
table_scores = list()
for(i in 1:2){
table_scores[[i]] = compute_oscores_dep2(truth_tables[[i]],comp_tables[[i]])
}
score_table = do.call(rbind, table_scores)
ans = colSums(score_table)
expect_equal(output,ans)
})
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