tibble::view() error, variable name limitation

[benhmin]

System details:

Positron and OS details:

Mac OS 14.6.1, ARM/M2
Positron Version: 2024.09.0 (Universal) build 27
Code - OSS Version: 1.92.0
Commit: d996153
Date: 2024-09-11T02:38:46.408Z
Electron: 30.1.2
Chromium: 124.0.6367.243
Node.js: 20.14.0
V8: 12.4.254.20-electron.0
OS: Darwin arm64 23.6.0

Interpreter details: R 4.4.1

Describe the issue:

In Positron it seems that the tibble::view() command does not work for any df above a certain size. The error returned is:
Error in exists(): ! variable names are limited to 10000 bytes

The length of variable names does not seem to impact the occurrence of the error, rather the size/length of the data frame?

Steps to reproduce the issue:

1. This code works:
   head(palmerpenguins::penguins, 50) |> tibble::view()
2. This code works:
   palmerpenguins::penguins |> utils::View()
3. This code doesn't (error as above):
   palmerpenguins::penguins |> tibble::view()

Expected or desired behavior:

would expect the tibble::view() command to appropriately pass objects to either utils::View() or as.data.frame() . . . as described here: https://tibble.tidyverse.org/reference/view.html

Maybe this is an issue with tibble more than with positron, but this problem does not occur in RStudio 2024.04.2+764 on the same machine. This is a very commonly used package (tidyverse) and the view() command typically is used rather than the utils::View() function once the tidyverse is loaded.

[petetronic]

Thank you @benhmin for testing Positron! I'm able to reproduce this issue, sending to Triage.

[juliasilge]

Here is the full traceback:

Error in `exists()`:
! variable names are limited to 10000 bytes
Hide Traceback
    ▆
 1. ├─tibble::view(palmerpenguins::penguins)
 2. │ └─rlang::eval_tidy(quo(view_fun(!!x, !!title)))
 3. └─view_fun(`<tibble[,8]>`, "palmerpenguins::penguins")
 4.   ├─base::isTRUE(exists(object_name, envir = parent.frame(), inherits = FALSE))
 5.   └─base::exists(object_name, envir = parent.frame(), inherits = FALSE)

And here is what tibble is doing:

eval_tidy(quo(view_fun(!!x, !!title)))

[DavisVaughan]

Oh gosh its inlining the whole data frame 😭 cc @lionel-

We should probably do a tibble PR