blob: aa4a771319dc7695905f76bca2621aec87768aee [file] [log] [blame]
test_that("collocationScoreQuery works", {
skip_if_offline()
kco <- new("KorAPConnection", accessToken = NULL, cache = TRUE, verbose = TRUE)
df <- collocationScoreQuery(kco, "Ameisenplage", "heimgesucht", leftContextSize=0, rightContextSize=1)
expect_gt(df$logDice, 1)
expect_equal(df$ll, ll(df$O1, df$O2, df$O, df$N, df$E, df$w))
expect_equal(df$pmi, pmi(df$O1, df$O2, df$O, df$N, df$E, df$w))
expect_equal(df$mi2, mi2(df$O1, df$O2, df$O, df$N, df$E, df$w))
expect_equal(df$mi3, mi3(df$O1, df$O2, df$O, df$N, df$E, df$w))
expect_equal(df$logDice, logDice(df$O1, df$O2, df$O, df$N, df$E, df$w))
})
test_that("collocationAnalysis works and warns about missing token", {
skip_if_offline()
kco <- new("KorAPConnection",
accessToken = NULL,
verbose = TRUE)
expect_warning(
df <-
collocationAnalysis(
kco,
"focus([tt/p=ADJA] {Newstickeritis})",
leftContextSize = 1,
rightContextSize = 0,
),
"access token"
)
expect_gt(df$O, df$E)
expect_gt(df$logDice, -1)
})
test_that("collocationAnalysis on unaccounted strings does not error out", {
skip_if_offline()
kco <- new("KorAPConnection", accessToken = NULL, verbose = TRUE)
expect_warning(
df <- collocationAnalysis(kco, "XXXXXXXXAmeisenplage", vc=c("corpusSigle=/WDD17/", "corpusSigle=/WUD17/"), maxRecurse = 2),
"access token"
)
testthat::expect_equal(nrow(df), 0)
})
test_that("removeWithinSpanWorks", {
expect_equal(
removeWithinSpan("contains(<base/s=s>, (machen []{0,1} aufmerksam | aufmerksam []{0,1} machen))", "base/s=s"),
"(machen []{0,1} aufmerksam | aufmerksam []{0,1} machen)")
})
test_that("mergeDuplicateCollocatesWorksAsExpected", {
ldf <- tibble(
node = c("focus(in [tt/p=NN] {[tt/l=nehmen]})"),
collocate = c("Anspruch"),
label = c(""),
vc = c(""),
query = c("Anspruch focus(in [tt/p=NN] {[tt/l=nehmen]})"),
webUIRequestUrl = c(
"https://korap.ids-mannheim.de/?q=Anspruch%20focus%28in%20%5btt%2fp%3dNN%5d%20%7b%5btt%2fl%3dnehmen%5d%7d%29&ql=poliqarp"
),
w = c(1),
leftContextSize = c(1),
rightContextSize = c(0),
N = c(23578528381.5),
O = c(0.5),
O1 = c(1168410.5),
O2 = c(1296870.5),
E = c(64.2651265093014),
pmi = c(11.9173498777957),
mi2 = c(29.8406639214616),
mi3 = c(47.7639779651274),
logDice = c(11.6899933757298),
ll = c(3717716.74208791)
)
rdf <- tibble(
node = c("focus({[tt/l=nehmen] in} [tt/p=NN])"),
collocate = c("Anspruch"),
label = c(""),
vc = c(""),
query = c("focus({[tt/l=nehmen] in} [tt/p=NN]) Anspruch"),
webUIRequestUrl = c(
"https://korap.ids-mannheim.de/?q=focus%28%7b%5btt%2fl%3dnehmen%5d%20in%7d%20%5btt%2fp%3dNN%5d%29%20Anspruch&ql=poliqarp"
),
w = c(1),
leftContextSize = c(0),
rightContextSize = c(1),
N = c(23578528381.5),
O = c(0.5),
O1 = c(17077.5),
O2 = c(1296870.5),
E = c(0.939299756346416),
pmi = c(7.99469408391783),
mi2 = c(15.8990457079122),
mi3 = c(23.8033973319065),
logDice = c(2.57887487309409),
ll = c(2181.35986032019)
)
merged <- mergeDuplicateCollocates(ldf, rdf, smoothingConstant = 0.5)
expect_equal(merged$O, 0.5)
expect_equal(merged$O1, 1185487.5)
expect_equal(merged$O2, 1296870.5)
expect_equal(merged$query, "Anspruch focus(in [tt/p=NN] {[tt/l=nehmen]}) | focus({[tt/l=nehmen] in} [tt/p=NN]) Anspruch")
})