CRAN Package Check Results for Package mlvocab

Last updated on 2018-10-04 07:48:38 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1 50.30 88.36 138.66 OK
r-devel-linux-x86_64-debian-gcc 0.1 45.02 64.99 110.01 OK
r-devel-linux-x86_64-fedora-clang 0.1 155.45 ERROR
r-devel-linux-x86_64-fedora-gcc 0.1 153.85 OK
r-devel-windows-ix86+x86_64 0.1 119.00 113.00 232.00 OK
r-patched-linux-x86_64 0.1 51.80 66.59 118.39 OK
r-patched-solaris-x86 0.1 163.90 ERROR
r-release-linux-x86_64 0.1 56.62 65.20 121.82 OK
r-release-windows-ix86+x86_64 0.1 116.00 104.00 220.00 OK
r-release-osx-x86_64 0.1 ERROR
r-oldrel-windows-ix86+x86_64 0.1 99.00 99.00 198.00 OK
r-oldrel-osx-x86_64 0.1 ERROR

Additional issues

gcc8

Check Details

Version: 0.1
Check: tests
Result: ERROR
     Running ‘testhat.R’
    Running the tests in ‘tests/testhat.R’ failed.
    Complete output:
     > if (packageVersion("testthat") >= "0.7.1.99") {
     + library(testthat)
     + test_check("mlvocab")
     + }
     Loading required package: mlvocab
     Loading required package: Rcpp
     Loading required package: Matrix
     Loading required package: digest
     Loading required package: sparsepp
     OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead.
     OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
     ── 1. Failure: vocab is computed correctly (@test_vocab.R#37) ─────────────────
     `v` not equal to `vt`.
     Component "term": 7 string mismatches
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 1199 SKIPPED: 0 FAILED: 1
     1. Failure: vocab is computed correctly (@test_vocab.R#37)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1
Check: examples
Result: ERROR
    Running examples in ‘mlvocab-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: tfidf
    > ### Title: Tfidf re-weighting of 'dtm' and 'tdm' matrices
    > ### Aliases: tfidf
    >
    > ### ** Examples
    >
    > corpus <- list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"),
    + b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog",
    + "the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"))
    > v <- vocab(corpus, c(1, 2), " ")
    > dtm <- dtm(corpus, v)
    Error in (function (corpus0, vocabdf, term_weights, nbuckets, output, :
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
    Calls: dtm -> tm -> do.call -> <Anonymous>
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.1
Check: tests
Result: ERROR
     Running ‘testhat.R’
    Running the tests in ‘tests/testhat.R’ failed.
    Complete output:
     > if (packageVersion("testthat") >= "0.7.1.99") {
     + library(testthat)
     + test_check("mlvocab")
     + }
     Loading required package: mlvocab
     Loading required package: Rcpp
     Loading required package: Matrix
     Loading required package: digest
     Loading required package: sparsepp
     ── 1. Error: dtm output type is correct (@test_term_matrices.R#144) ───────────
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: dtm(corpus, vocab, output = "tri") at testthat/test_term_matrices.R:144
     2: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "quick", "brown", "fox", "jumps", "over", "lazy", "dog", "The"
     ), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L), doc_count = c(2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 1L)), class = c("mlvocab_vocab", "data.frame"), row.names = c(NA,
     -9L), ngram = c(1L, 1L), document_count = 2L, nbuckets = 0L, ngram_sep = "_", regex = "[[:space:]]+"),
     NULL, 0L, "triplet", ngram_min = 1L, ngram_max = 1L)
    
     ── 2. Error: dtm works with NULL names (@test_term_matrices.R#167) ────────────
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: dtm(corpus, v, output = "triplet") at testthat/test_term_matrices.R:167
     2: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"),
     c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "quick", "brown", "fox", "jumps", "over", "lazy", "dog", "The"
     ), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L), doc_count = c(2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 1L)), class = c("mlvocab_vocab", "data.frame"), row.names = c(NA,
     -9L), ngram = c(1L, 1L), document_count = 2L, nbuckets = 0L, ngram_sep = "_", regex = "[[:space:]]+"),
     NULL, 0L, "triplet", ngram_min = 1L, ngram_max = 1L)
    
     ── 3. Error: tdm works (@test_term_matrices.R#188) ────────────────────────────
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: tdm(corpus, v, output = "tri") at testthat/test_term_matrices.R:188
     2: tm(C_tdm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_tdm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "quick", "brown", "fox", "jumps", "over", "lazy", "dog", "The"
     ), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L), doc_count = c(2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 1L)), class = c("mlvocab_vocab", "data.frame"), row.names = c(NA,
     -9L), ngram = c(1L, 1L), document_count = 2L, nbuckets = 0L, ngram_sep = "_", regex = "[[:space:]]+"),
     NULL, 0L, "triplet", ngram_min = 1L, ngram_max = 1L)
    
     ── 4. Error: tdm works with NULL names (@test_term_matrices.R#212) ────────────
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: tdm(corpus, v, output = "triplet") at testthat/test_term_matrices.R:212
     2: tm(C_tdm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_tdm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"),
     c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "quick", "brown", "fox", "jumps", "over", "lazy", "dog", "The"
     ), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L), doc_count = c(2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 1L)), class = c("mlvocab_vocab", "data.frame"), row.names = c(NA,
     -9L), ngram = c(1L, 1L), document_count = 2L, nbuckets = 0L, ngram_sep = "_", regex = "[[:space:]]+"),
     NULL, 0L, "triplet", ngram_min = 1L, ngram_max = 1L)
    
     ── 5. Error: tdm, dtm and tcm work with vocab=NULL (@test_term_matrices.R#230)
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: expect_equal(tdm(corpus, v, output = "triplet"), tdm(corpus, output = "triplet")) at testthat/test_term_matrices.R:230
     2: quasi_label(enquo(object), label)
     3: eval_bare(get_expr(quo), get_env(quo))
     4: tdm(corpus, v, output = "triplet")
     5: tm(C_tdm, corpus, vocab, ngram, nbuckets, output)
     6: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     7: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_tdm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "quick", "brown", "fox", "jumps", "over", "lazy", "dog", "The"
     ), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L), doc_count = c(2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 1L)), class = c("mlvocab_vocab", "data.frame"), row.names = c(NA,
     -9L), ngram = c(1L, 1L), document_count = 2L, nbuckets = 0L, ngram_sep = "_", regex = "[[:space:]]+"),
     NULL, 0L, "triplet", ngram_min = 1L, ngram_max = 1L)
    
     ── 6. Error: tdm/dtm work with empty docs (@test_term_matrices.R#238) ─────────
     Internal error: Incomplete compactification (ncompacted: 6, npris: 3)
     1: expect_equal(as.matrix(dtm(c(corpus, list(c = character())), v)), rbind(mat, c = 0)) at testthat/test_term_matrices.R:238
     2: quasi_label(enquo(object), label)
     3: eval_bare(get_expr(quo), get_env(quo))
     4: as.matrix(dtm(c(corpus, list(c = character())), v))
     5: dtm(c(corpus, list(c = character())), v)
     6: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     7: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     8: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"), c = character(0)),
     structure(list(term = c("the", "quick", "brown", "fox", "jumps", "over", "lazy",
     "dog", "The"), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L, 1L), doc_count = c(2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L)), class = c("mlvocab_vocab", "data.frame"), row.names = c(NA,
     -9L), ngram = c(1L, 1L), document_count = 2L, nbuckets = 0L, ngram_sep = "_", regex = "[[:space:]]+"),
     NULL, 0L, "row", ngram_min = 1L, ngram_max = 1L)
    
     ── 7. Error: tfidf works with tdm and dtm matrices (@test_tfidf.R#12) ─────────
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: dtm(corpus, v, output = "col") at testthat/test_tfidf.R:12
     2: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "dog", "quick", "quick brown", "brown", "brown fox", "fox", "fox jumps",
     "jumps", "jumps over", "over", "over the", "the lazy", "lazy", "lazy dog", "the quick",
     "The", "dog the", "The quick"), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
     3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L, 1L), doc_count = c(2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L)), class = c("mlvocab_vocab",
     "data.frame"), row.names = c(NA, -19L), ngram = 1:2, document_count = 2L, nbuckets = 0L, ngram_sep = " ", regex = "[[:space:]]+"),
     NULL, 0L, "column", ngram_min = 1L, ngram_max = 2L)
    
     ── 8. Error: tfidf works when dtm is constructed with explicit ngram (@test_tfid
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: dtm(corpus, v, c(1, 1), output = "col") at testthat/test_tfidf.R:96
     2: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "dog", "quick", "quick brown", "brown", "brown fox", "fox", "fox jumps",
     "jumps", "jumps over", "over", "over the", "the lazy", "lazy", "lazy dog", "the quick",
     "The", "dog the", "The quick"), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
     3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L, 1L), doc_count = c(2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L)), class = c("mlvocab_vocab",
     "data.frame"), row.names = c(NA, -19L), ngram = 1:2, document_count = 2L, nbuckets = 0L, ngram_sep = " ", regex = "[[:space:]]+"),
     NULL, 0L, "column", ngram_min = 1, ngram_max = 1)
    
     ── 9. Error: tfidf works when names don't match (@test_tfidf.R#131) ───────────
     Internal error: Incomplete compactification (ncompacted: 4, npris: 2)
     1: dtm(corpus, v, out = "col") at testthat/test_tfidf.R:131
     2: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "dog", "quick", "quick brown", "brown", "brown fox", "fox", "fox jumps",
     "jumps", "jumps over", "over", "over the", "the lazy", "lazy", "lazy dog", "the quick",
     "The", "dog the", "The quick"), term_count = c(5L, 3L, 3L, 3L, 3L, 3L, 3L, 3L,
     3L, 3L, 3L, 3L, 3L, 3L, 3L, 2L, 1L, 1L, 1L), doc_count = c(2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L)), class = c("mlvocab_vocab",
     "data.frame"), row.names = c(NA, -19L), ngram = 1:2, document_count = 2L, nbuckets = 0L, ngram_sep = " ", regex = "[[:space:]]+"),
     NULL, 0L, "column", ngram_min = 1L, ngram_max = 2L)
    
     ── 10. Error: tcm bootstrap (@test_tfidf.R#185) ───────────────────────────────
     Internal error: Incomplete compactification (ncompacted: 10, npris: 5)
     1: dtm(corpus, v, output = "col") at testthat/test_tfidf.R:185
     2: tm(C_dtm, corpus, vocab, ngram, nbuckets, output)
     3: do.call(cfun, list(corpus, vocab, NULL, nbuckets, output, ..., ngram_min = ngram[[1]],
     ngram_max = ngram[[2]]))
     4: (function (corpus0, vocabdf, term_weights, nbuckets, output, ngram_min, ngram_max)
     {
     .Call(`_mlvocab_C_dtm`, corpus0, vocabdf, term_weights, nbuckets, output, ngram_min,
     ngram_max)
     })(list(a = c("The", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"
     ), b = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the",
     "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog"), c = c("the", "quick",
     "brown", "fox", "jumps", "over", "the", "lazy", "dog", "the", "quick", "brown", "fox",
     "jumps", "over", "the", "lazy", "dog"), d = c("the", "quick", "brown", "fox", "jumps",
     "over", "the", "lazy", "dog", "the", "quick", "brown", "fox", "jumps", "over", "the",
     "lazy", "dog"), e = c("the", "quick", "brown", "fox", "jumps", "over", "the", "lazy",
     "dog", "the", "quick", "brown", "fox", "jumps", "over", "the", "lazy", "dog")), structure(list(
     term = c("the", "jumps", "dog", "lazy dog", "lazy", "the lazy", "over the", "over",
     "jumps over", "fox jumps", "fox", "brown fox", "brown", "quick brown", "quick",
     "the quick", "dog the", "The quick", "The"), term_count = c(17L, 9L, 9L, 9L,
     9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 9L, 8L, 4L, 1L, 1L), doc_count = c(5L,
     5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 5L, 4L, 4L, 1L, 1L)), class = c("mlvocab_vocab",
     "data.frame"), row.names = c(NA, -19L), ngram = 1:2, document_count = 5L, nbuckets = 0L, ngram_sep = " ", regex = "[[:space:]]+"),
     NULL, 0L, "column", ngram_min = 1L, ngram_max = 2L)
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 142 SKIPPED: 0 FAILED: 10
     1. Error: dtm output type is correct (@test_term_matrices.R#144)
     2. Error: dtm works with NULL names (@test_term_matrices.R#167)
     3. Error: tdm works (@test_term_matrices.R#188)
     4. Error: tdm works with NULL names (@test_term_matrices.R#212)
     5. Error: tdm, dtm and tcm work with vocab=NULL (@test_term_matrices.R#230)
     6. Error: tdm/dtm work with empty docs (@test_term_matrices.R#238)
     7. Error: tfidf works with tdm and dtm matrices (@test_tfidf.R#12)
     8. Error: tfidf works when dtm is constructed with explicit ngram (@test_tfidf.R#96)
     9. Error: tfidf works when names don't match (@test_tfidf.R#131)
     10. Error: tcm bootstrap (@test_tfidf.R#185)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.1
Check: tests
Result: ERROR
     Running ‘testhat.R’ [18s/4s]
    Running the tests in ‘tests/testhat.R’ failed.
    Last 13 lines of output:
     Loading required package: mlvocab
     Loading required package: Rcpp
     Loading required package: Matrix
     Loading required package: digest
     Loading required package: sparsepp
     ── 1. Failure: vocab is computed correctly (@test_vocab.R#37) ─────────────────
     `v` not equal to `vt`.
     Component "term": 7 string mismatches
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 1199 SKIPPED: 0 FAILED: 1
     1. Failure: vocab is computed correctly (@test_vocab.R#37)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-osx-x86_64

Version: 0.1
Check: tests
Result: ERROR
     Running ‘testhat.R’ [19s/5s]
    Running the tests in ‘tests/testhat.R’ failed.
    Last 13 lines of output:
     Loading required package: mlvocab
     Loading required package: Rcpp
     Loading required package: Matrix
     Loading required package: digest
     Loading required package: sparsepp
     ── 1. Failure: vocab is computed correctly (@test_vocab.R#37) ─────────────────
     `v` not equal to `vt`.
     Component "term": 7 string mismatches
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     OK: 1199 SKIPPED: 0 FAILED: 1
     1. Failure: vocab is computed correctly (@test_vocab.R#37)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-osx-x86_64