Closed romainfrancois closed 2 years ago
We are about to release dplyr 1.0.8 and this currently makes this package fail on:
── Test failures ─────────────────────────────────────────────────────────────────────────────── testthat ──── > library(testthat) > library(datacleanr) > > test_check("datacleanr") ══ Failed tests ════════════════════════════════════════════════════════════════ ── Failure (test-filter_scoped.R:23:3): filter fails with incorrect statement ── `filter_scoped(iris, "Spec == 'setosa'", scope_at = NULL)` threw an error with unexpected class. Expected class: dplyr_error Actual class: rlang_error/error/condition Message: Problem while computing `..1 = eval(statement)`. Backtrace: ▆ 1. ├─testthat::expect_error(...) at test-filter_scoped.R:23:2 2. │ └─testthat:::quasi_capture(...) 3. │ ├─testthat .capture(...) 4. │ │ └─base::withCallingHandlers(...) 5. │ └─rlang::eval_bare(quo_get_expr(.quo), quo_get_env(.quo)) 6. ├─datacleanr:::filter_scoped(iris, "Spec == 'setosa'", scope_at = NULL) 7. │ ├─dplyr::group_by(...) 8. │ ├─dplyr::filter(dplyr::ungroup(dframe), eval(statement), na.rm = TRUE) 9. │ └─dplyr:::filter.data.frame(...) 10. │ └─dplyr:::filter_rows(.data, ..., caller_env = caller_env()) 11. │ └─dplyr:::filter_eval(dots, mask = mask, error_call = error_call) 12. │ ├─base::withCallingHandlers(...) 13. │ └─mask$eval_all_filter(dots, env_filter) 14. └─base::eval(statement) 15. └─base::eval(statement) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 46 ] Error: Test failures Execution halted 1 error x | 0 warnings ✓ | 1 note x
because dplyr will no longer mark errors with the dplyr_error class.
dplyr_error
Please consider releasing after incorporating this change, which should be fine with both released and future version of dplyr.
dplyr
Thank you for highlighting this and for the fix! Very much appreciated.
We are about to release dplyr 1.0.8 and this currently makes this package fail on:
because dplyr will no longer mark errors with the
dplyr_error
class.Please consider releasing after incorporating this change, which should be fine with both released and future version of
dplyr
.