Running ‘testthat.R’ [36s/49s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(dplyr)
  
  Attaching package: 'dplyr'
  
  The following object is masked from 'package:testthat':
  
      matches
  
  The following objects are masked from 'package:stats':
  
      filter, lag
  
  The following objects are masked from 'package:base':
  
      intersect, setdiff, setequal, union
  
  > 
  > test_check("fabletools")
  Loading required package: fabletools
  ── 1. Error: Out-of-sample accuracy (@test-accuracy.R#52)  ─────────────────────
  `vars` must be a character vector.
  Backtrace:
    1. testthat::expect_warning(accuracy(fbl, head(us_deaths)), "12 observations are missing between 1978 Jan and 1978 Dec")
    7. fabletools:::accuracy.fbl_ts(fbl, head(us_deaths))
    9. tsibble:::transmute.tbl_ts(...)
   14. tsibble:::mutate.tbl_ts(.data, !!!lst_quos)
   15. tsibble:::retain_tsibble(mut_data, key(.data), index(.data))
   16. tsibble:::duplicated_key_index(data, key, index)
   17. dplyr::grouped_df(as_tibble(data), key)
  
  ── 2. Error: fable dplyr verbs (@test-fable.R#32)  ─────────────────────────────
  `vars` must be a character vector.
  Backtrace:
    1. testthat::expect_equivalent(...)
    5. base::rbind(fbl_multi[1:12, ], fbl_multi[13:24, ])
    6. fabletools:::rbind(deparse.level, ...)
   11. base::rbind(...)
   12. tsibble:::rbind(deparse.level, ...)
   13. tsibble:::retain_tsibble(x, key(data), index(data))
   14. tsibble:::duplicated_key_index(data, key, index)
   15. dplyr::grouped_df(as_tibble(data), key)
  
  ── 3. Failure: features() (@test-features.R#23)  ───────────────────────────────
  `.` not equal to c("a", "b", "V1").
  1/3 mismatches
  x[3]: "...3"
  y[3]: "V1"
  
  ── 4. Error: generate (@test-generate.R#6)  ────────────────────────────────────
  `vars` must be a character vector.
  Backtrace:
    9. generics::generate(.)
   11. fabletools:::map2(...)
   12. base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
   14. fabletools:::generate.mdl_ts(...)
    5. fabletools:::map(...)
   13. fabletools:::invoke("rbind", .)
   26. tsibble:::rbind(deparse.level, ...)
   27. tsibble:::retain_tsibble(x, key(data), index(data))
   28. tsibble:::duplicated_key_index(data, key, index)
   29. dplyr::grouped_df(as_tibble(data), key)
  
  ── 5. Error: generate seed setting (@test-generate.R#31)  ──────────────────────
  `vars` must be a character vector.
  Backtrace:
    1. testthat::expect_equal(...)
   10. generics::generate(., seed = seed)
   14. fabletools:::map2(...)
   15. base::mapply(.f, .x, .y, MoreArgs = list(...), SIMPLIFY = FALSE)
   17. fabletools:::generate.mdl_ts(...)
    6. fabletools:::map(...)
   14. fabletools:::invoke("rbind", .)
   29. tsibble:::rbind(deparse.level, ...)
   30. tsibble:::retain_tsibble(x, key(data), index(data))
   31. tsibble:::duplicated_key_index(data, key, index)
   32. dplyr::grouped_df(as_tibble(data), key)
  
  ── 6. Error: reconciliation (@test-reconciliation.R#4)  ────────────────────────
  `vars` must be a character vector.
  Backtrace:
    9. fabletools::aggregate_key(., key, value = sum(value))
    2. tsibble::build_tsibble_meta(...)
   10. dplyr::mutate(...)
   21. tsibble:::retain_tsibble(mut_data, key(.data), index(.data))
   22. tsibble:::duplicated_key_index(data, key, index)
   23. dplyr::grouped_df(as_tibble(data), key)
  
  ══ testthat results  ═══════════════════════════════════════════════════════════
  [ OK: 264 | SKIPPED: 1 | WARNINGS: 0 | FAILED: 6 ]
  1. Error: Out-of-sample accuracy (@test-accuracy.R#52) 
  2. Error: fable dplyr verbs (@test-fable.R#32) 
  3. Failure: features() (@test-features.R#23) 
  4. Error: generate (@test-generate.R#6) 
  5. Error: generate seed setting (@test-generate.R#31) 
  6. Error: reconciliation (@test-reconciliation.R#4) 
  
  Error: testthat unit tests failed
  Execution halted