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Error with auk package #2
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I also can't replay the files collected from running Will try another package. |
This seems to be due to some dplyr magic : df1 <- tibble(a="A")
# these work
mutate(df1, b = paste(a, "X"))
#> # A tibble: 1 × 2
#> a b
#> <chr> <chr>
#> 1 A A X
coalesce(df1$a, "X")
#> [1] "A"
transform(df1, b = coalesce(a, "X"))
#> a b
#> 1 A A
# this doesnt
mutate(df1, b = coalesce(a, "X"))
#> Error:
#> ℹ In argument: `b = coalesce(a, "X")`.
#> Caused by error:
#> ! unused argument (base::quote("A"))
#> Backtrace:
#> ▆
#> 1. ├─dplyr::mutate(df1, b = coalesce(a, "X"))
#> 2. │ └─collector::collect_and_run()
#> 3. │ └─base::eval(call_to_original, new_caller_env) at collector/R/collector.R:116:3
#> 4. │ └─base::eval(call_to_original, new_caller_env)
#> 5. │ ├─dplyr (local) `<fn>`(df1, b = coalesce(a, "X"))
#> 6. │ └─dplyr:::mutate.data.frame(df1, b = coalesce(a, "X")) at dplyr/R/mutate.R:146:3
#> 7. │ └─dplyr:::mutate_cols(.data, dplyr_quosures(...), by) at dplyr/R/mutate.R:181:3
#> 8. │ ├─base::withCallingHandlers(...) at dplyr/R/mutate.R:268:3
#> 9. │ └─dplyr:::mutate_col(dots[[i]], data, mask, new_columns) at dplyr/R/mutate.R:273:7
#> 10. │ └─mask$eval_all_mutate(quo) at dplyr/R/mutate.R:380:9
#> 11. │ └─dplyr (local) eval() at dplyr/R/data-mask.R:94:7
#> 12. ├─dplyr::coalesce(a, "X")
#> 13. │ └─collector::collect_and_run()
#> 14. │ └─collector:::env_clone_lazy(caller_env) at collector/R/collector.R:104:3
#> 15. │ └─collector:::env_clone_lazy(env_parent(env)) at collector/R/collector.R:126:3
#> 16. │ └─rlang::env_bind_lazy(clone, `:=`(!!nm, !!env[[nm]])) at collector/R/collector.R:132:5
#> 17. ├─base::delayedAssign(x, value = "A", assign.env = y, eval.env = z)
#> 18. └─base::.handleSimpleError(...)
#> 19. └─dplyr (local) h(simpleError(msg, call))
#> 20. └─rlang::abort(message, class = error_class, parent = parent, call = error_call) at dplyr/R/conditions.R:235:5 |
I think it's due to a rlang bug, but one we might work around, At some point in
if we remove the binding first (usually unneeded) this works, and it's ok to do it because at this point we're looping on evaluated variables |
Confirming that auk now works, thanks. It is collecting too much data for its calls to |
With a variant of cynkra/dplyr#4 (applied on top of the most recent dplyr, our fork is hopelessly outdated):
Created on 2024-04-18 with reprex v2.1.0
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