skip_on_cran() toks <- tokens(data_corpus_inaugural) xtoks <- as.tokens_xptr(toks) test_that("Basic functions work", { expect_true(is.tokens_xptr(tokens("a b c d", xptr = TRUE))) }) test_that("Basic functions work", { expect_false(is.tokens_xptr(toks)) expect_true(is.tokens_xptr(xtoks)) expect_identical(docnames(xtoks), docnames(toks)) expect_identical(docid(xtoks), docid(toks)) expect_identical(segid(xtoks), segid(toks)) expect_identical(ndoc(xtoks), ndoc(toks)) expect_identical(ntoken(xtoks), ntoken(toks)) expect_identical(types(xtoks), types(toks)) expect_identical(concatenator(xtoks), concatenator(toks)) expect_identical(concat(xtoks), concat(toks)) expect_identical(ntype(xtoks), ntype(toks)) expect_warning( ntoken(xtoks, xxx = TRUE), "xxx argument is not used" ) xtoks2 <- tokens_remove(as.tokens_xptr(xtoks), min_nchar = 2, padding = TRUE) toks2 <- tokens_remove(toks, min_nchar = 2, padding = TRUE) expect_identical(ntype(xtoks2), ntype(toks2)) expect_identical(ntoken(xtoks2, remove_padding = TRUE), ntoken(tokens_remove(toks2, ""))) }) test_that("attributes are the same", { expect_identical(attr(toks, "docvars"), attr(xtoks, "docvars")) expect_identical(attr(toks, "meta"), attr(xtoks, "meta")) }) test_that("subsetting works", { expect_identical(docnames(as.tokens_xptr(toks)[2:6]), docnames(toks)[2:6]) expect_identical(docnames(as.tokens_xptr(toks)[2:6 * -1]), docnames(toks)[2:6 * -1]) expect_identical(docnames(head(as.tokens_xptr(toks))), docnames(head(toks))) expect_identical(docnames(head(as.tokens_xptr(toks), 0)), docnames(head(toks, 0))) expect_identical(docnames(head(as.tokens_xptr(toks), 100)), docnames(head(toks, 100))) expect_identical(docnames(tail(as.tokens_xptr(toks))), docnames(tail(toks))) expect_identical(docnames(tail(as.tokens_xptr(toks), -10)), docnames(tail(toks, -10))) }) test_that("extractor works", { expect_identical(xtoks[[integer()]], toks[[integer()]]) expect_identical(xtoks[[10]], toks[[10]]) expect_identical(xtoks[[10:20]], toks[[10:20]]) }) test_that("deep copy xtokens", { expect_identical( as.tokens(as.tokens_xptr(xtoks)), as.tokens(xtoks) ) }) test_that("c works on xtokens", { xtoks_pad <- tokens_remove(as.tokens_xptr(toks), stopwords(), padding = TRUE) xtoks1 <- as.tokens_xptr(xtoks_pad)[1:10] xtoks2 <- as.tokens_xptr(xtoks_pad)[11:20] expect_identical(as.list(c(xtoks1, xtoks2)), as.list(as.tokens_xptr(xtoks_pad)[1:20])) expect_error( c(xtoks_pad, list()), "Cannot combine different types of objects" ) }) test_that("operations on copied xtokens do not affect the original xtokens", { expect_identical( as.list(as.tokens(tokens_subset(as.tokens_xptr(toks), Party == "Republican"))), as.list(tokens_subset(toks, Party == "Republican")) ) expect_identical( as.list(as.tokens(tokens_select(as.tokens_xptr(toks), stopwords("en")))), as.list(tokens_select(toks, stopwords("en"))) ) expect_identical( as.list(as.tokens(tokens_ngrams(as.tokens_xptr(toks)))), as.list(tokens_ngrams(toks)) ) }) test_that("operations on copied xtokens do not affect the original xtokens", { xtoks <- as.tokens_xptr(toks) xtoks_copy <- as.tokens_xptr(xtoks) xtoks_copy <- tokens_remove(xtoks_copy, stopwords(), padding = TRUE) expect_false(identical(as.list(xtoks_copy), as.list(xtoks))) expect_identical(as.list(toks), as.list(xtoks)) }) test_that("tokens_select and tokens_remove work", { toks2 <- tokens_remove(toks, stopwords(), padding = TRUE) |> tokens_select(data_dictionary_LSD2015, padding = TRUE) xtoks2 <- as.tokens_xptr(toks) |> tokens_remove(stopwords(), padding = TRUE) |> tokens_select(data_dictionary_LSD2015, padding = TRUE) expect_identical(as.list(xtoks2), as.list(toks2)) }) test_that("tokens_tolower and tokens_toupper work", { expect_identical(as.list(as.tokens(tokens_tolower(as.tokens_xptr(toks)))), as.list(as.tokens(tokens_tolower(xtoks)))) expect_identical(as.list(as.tokens(tokens_toupper(as.tokens_xptr(toks)))), as.list(as.tokens(tokens_toupper(xtoks)))) }) test_that("tokens_tolower and tokens_toupper work", { dict <- data_dictionary_LSD2015[1:2] expect_identical(as.tokens(tokens_lookup(as.tokens_xptr(toks), dict)), tokens_lookup(toks, dict)) xtoks1 <- tokens_lookup(as.tokens_xptr(toks), dict, exclusive = FALSE) expect_identical(quanteda:::cpp_get_attributes(xtoks1), list(recompiled = FALSE, padded = FALSE)) xtoks2 <- tokens_lookup(as.tokens_xptr(toks), dict, nomatch = "nomatch") expect_identical(quanteda:::cpp_get_attributes(xtoks2), list(recompiled = TRUE, padded = FALSE)) # attributes are copied xtoks3 <- as.tokens_xptr(xtoks2) expect_identical(quanteda:::cpp_get_attributes(xtoks3), list(recompiled = TRUE, padded = FALSE)) }) test_that("tokens_subset works", { expect_equal( tokens_subset(xtoks, 1000 <= ntoken(xtoks)), tokens_subset(xtoks, min_ntoken = 1000) ) expect_equal( tokens_subset(xtoks, ntoken(xtoks) <= 3000), tokens_subset(xtoks, max_ntoken = 3000) ) expect_equal( tokens_subset(xtoks, Year > 2000 & 1000 <= ntoken(xtoks) & ntoken(xtoks) >= 1000), tokens_subset(xtoks, Year > 2000, min_ntoken = 1000, max_ntoken = 3000) ) }) test_that("all the meta fields are copied", { toks_dict <- tokens_lookup(toks, data_dictionary_LSD2015[1:2]) xtoks_dict <- as.tokens_xptr(toks_dict) expect_identical(attr(toks_dict, "meta"), attr(xtoks_dict, "meta")) toks_ngram <- tokens_ngrams(toks) xtoks_ngram <- as.tokens_xptr(toks_ngram) expect_identical(attr(toks_ngram, "meta"), attr(xtoks_ngram, "meta")) }) test_that("attributes are correct", { dict <- data_dictionary_LSD2015[1:2] xtoks2 <- tokens_remove(as.tokens_xptr(toks), stopwords(), padding = TRUE) expect_false(quanteda:::cpp_get_attributes(xtoks2)$recompiled) expect_true(quanteda:::cpp_get_attributes(xtoks2)$padded) xtoks_dict1 <- tokens_lookup(as.tokens_xptr(toks), dict, exclusive = TRUE) expect_true(quanteda:::cpp_get_attributes(xtoks_dict1)$recompiled) xtoks_dict2 <- tokens_lookup(as.tokens_xptr(toks), dict, exclusive = FALSE) expect_false(quanteda:::cpp_get_attributes(xtoks_dict2)$recompiled) }) test_that("tokens_compound works", { dict <- data_dictionary_LSD2015[3:4] expect_identical(as.list(tokens_compound(as.tokens_xptr(toks), dict)), as.list(tokens_compound(toks, dict))) expect_identical(as.list(tokens_compound(as.tokens_xptr(toks), phrase("of the"))), as.list(tokens_compound(toks, phrase("of the")))) }) test_that("tokens_chunk() works", { expect_identical(as.tokens(tokens_chunk(as.tokens_xptr(toks), 10)), tokens_chunk(toks, 10)) }) test_that("tokens_replace() and tokens_split() work", { pat <- phrase(c("Supreme Court")) rep <- phrase(c("Supreme Court of the United States")) expect_identical(as.tokens(tokens_replace(as.tokens_xptr(toks), pat, rep)), tokens_replace(toks, pat, rep)) expect_identical(as.tokens(tokens_split(as.tokens_xptr(toks), "-")), tokens_split(toks, "-")) }) test_that("tokens_sample() works", { set.seed(1234) toks1 <- as.tokens(tokens_sample(as.tokens_xptr(toks), 10)) set.seed(1234) toks2 <- tokens_sample(toks, 10) expect_identical(toks1, toks2) }) test_that("dfm works", { xtoks <- as.tokens_xptr(toks) expect_identical(dfm(xtoks, tolower = TRUE), dfm(toks, tolower = TRUE)) expect_identical(dfm(xtoks, tolower = FALSE), dfm(toks, tolower = FALSE)) expect_false(any(duplicated(colnames(dfm(xtoks))))) # with padding toks_pad <- tokens_remove(toks, stopwords(), padding = TRUE) expect_identical(dfm(as.tokens_xptr(toks_pad)), dfm(toks_pad)) expect_identical(dfm(as.tokens_xptr(toks_pad), tolower = FALSE), dfm(toks_pad, tolower = FALSE)) # with dictionary keys dict <- data_dictionary_LSD2015 expect_equal( featnames(dfm(tokens_lookup(as.tokens_xptr(toks), dict))), names(dict) ) expect_equal( featnames(dfm(tokens_lookup(as.tokens_xptr(toks), rev(dict)))), rev(names(dict)) ) }) test_that("order of the feature is unique", { mat <- replicate(5, featnames(dfm(tokens_ngrams(as.tokens_xptr(toks))))) expect_true(all(mat[,1] == mat)) }) test_that("fcm works", { expect_identical(fcm(as.tokens_xptr(toks[1:10])), fcm(toks[1:10])) expect_identical(fcm(as.tokens_xptr(toks), window = 5), fcm(toks, window = 5)) }) test_that("cpp_serialize is working", { lis <- as.list(toks) out1 <- quanteda:::cpp_as_list(quanteda:::cpp_serialize(lis)) out2 <- quanteda:::serialize_tokens(lis) expect_equal( lapply(unclass(out1), function(x) attr(out1, "types")[x]), lapply(unname(out2), function(x) attr(out2, "types")[x]) ) }) test_that("returns shallow or deep copy x", { # shallow copy xtoks <- as.tokens_xptr(toks[1:10]) xtoks10 <- tokens_select(xtoks, stopwords("en")) expect_true(identical(quanteda:::address(xtoks), quanteda:::address(xtoks10))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks11 <- tokens_compound(xtoks, "and", window = 1) expect_true(identical(quanteda:::address(xtoks), quanteda:::address(xtoks11))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks12 <- tokens_lookup(xtoks, data_dictionary_LSD2015) expect_true(identical(quanteda:::address(xtoks), quanteda:::address(xtoks12))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks13 <- tokens_ngrams(xtoks) expect_true(identical(quanteda:::address(xtoks), quanteda:::address(xtoks13))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks14 <- tokens_replace(xtoks, phrase("fellow citizens"), phrase("fellow Americans")) expect_true(identical(quanteda:::address(xtoks), quanteda:::address(xtoks14))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks15 <- tokens_restore(xtoks) expect_true(identical(quanteda:::address(xtoks), quanteda:::address(xtoks15))) # deep copy xtoks <- as.tokens_xptr(toks[1:10]) xtoks20 <- tokens_group(xtoks) expect_false(identical(quanteda:::address(xtoks), quanteda:::address(xtoks20))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks21 <- tokens_subset(xtoks) expect_false(identical(quanteda:::address(xtoks), quanteda:::address(xtoks21))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks22 <- xtoks[] expect_false(identical(quanteda:::address(xtoks), quanteda:::address(xtoks22))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks23 <- tokens_segment(xtoks, "\\p{P}", valuetype = "regex") expect_false(identical(quanteda:::address(xtoks), quanteda:::address(xtoks23))) xtoks <- as.tokens_xptr(toks[1:10]) xtoks24 <- tokens_chunk(xtoks, size = 1000) expect_false(identical(quanteda:::address(xtoks), quanteda:::address(xtoks24))) }) test_that("lengths works on tokens xptr objects", { expect_identical( lengths(toks), lengths(xtoks) ) expect_identical( lengths(toks, use.names = FALSE), lengths(xtoks, use.names = FALSE) ) expect_identical( names(lengths(xtoks, use.names = FALSE)), names(1:5), NULL ) }) test_that("test low-level validation", { xtoks <- tokens("a b c", xptr = TRUE) # interger patterns dict <- list(c(1L, 2L)) expect_error( quanteda:::cpp_tokens_select(as.tokens_xptr(xtoks), dict, 2, TRUE, 0, 0, c(1, 1), 3, FALSE), "Invalid pos_from" ) expect_error( quanteda:::cpp_tokens_select(as.tokens_xptr(xtoks), dict, 2, TRUE, 0, 0, 1, c(3, 3), FALSE), "Invalid pos_to" ) expect_error( quanteda:::cpp_tokens_select(as.tokens_xptr(xtoks), dict, 2, TRUE, 0, 0, 1, 3, c(FALSE, TRUE)), "Invalid bypass" ) expect_error( quanteda:::cpp_tokens_compound(as.tokens_xptr(xtoks), dict, "-", TRUE, FALSE, 0, 0, c(FALSE, TRUE)), "Invalid bypass" ) expect_error( quanteda:::cpp_tokens_replace(as.tokens_xptr(xtoks), dict, list(c(2, 3)), c(FALSE, TRUE)), "Invalid bypass" ) expect_error( quanteda:::cpp_tokens_lookup(as.tokens_xptr(xtoks), dict, 1, "A", 1, 1, c(FALSE, TRUE)), "Invalid bypass" ) expect_error( quanteda:::cpp_tokens_lookup(as.tokens_xptr(xtoks), dict, c(1, 2), "A", 1, 1, c(FALSE)), "Invalid words and keys" ) expect_error( quanteda:::cpp_subset(as.tokens_xptr(xtoks), c(TRUE, FALSE)), "Invalid document index" ) expect_error( quanteda:::cpp_tokens_group(as.tokens_xptr(xtoks), 2), "Invalid groups" ) expect_error( quanteda:::cpp_kwic(as.tokens_xptr(xtoks), c(1, 2), c(1, 1), c(1, 1), 2), "Invalid documents" ) expect_error( quanteda:::cpp_kwic(as.tokens_xptr(xtoks), 1, c(1, 1), 2, 2), "Invalid pos_from" ) expect_error( quanteda:::cpp_kwic(as.tokens_xptr(xtoks), 1, 1, c(2, 2), 2), "Invalid pos_to" ) expect_error( quanteda:::cpp_kwic(as.tokens_xptr(xtoks), 1, 3, 1, 2), "Invalid index" ) # not-integer patterns expect_error( quanteda:::cpp_tokens_select(as.tokens_xptr(xtoks), list(c(1, 2)), 2, TRUE, 0, 0, 1, 3, FALSE), "Invalid patterns" ) # negative patterns expect_silent( quanteda:::cpp_tokens_select(as.tokens_xptr(xtoks), list(c(1L, -1L)), 2, TRUE, 0, 0, 1, 3, FALSE) ) # NA in patterns expect_silent( quanteda:::cpp_tokens_select(as.tokens_xptr(xtoks), list(c(1L, NA_integer_)), 2, TRUE, 0, 0, 1, 3, FALSE) ) })