* using log directory ‘/Volumes/Builds/packages/big-sur-arm64/results/4.5/tabnet.Rcheck’
* using R version 4.5.0 beta (2025-03-29 r88069)
* using platform: aarch64-apple-darwin20
* R was compiled by
    Apple clang version 14.0.0 (clang-1400.0.29.202)
    GNU Fortran (GCC) 14.2.0
* running under: macOS Ventura 13.4
* using session charset: UTF-8
* checking for file ‘tabnet/DESCRIPTION’ ... OK
* this is package ‘tabnet’ version ‘0.6.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for executable files ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘tabnet’ can be installed ... [5s/6s] OK
See 'https://www.r-project.org/nosvn/R.check/r-devel-macos-arm64/tabnet-00install.html' for details.
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... [1s/1s] OK
* checking whether the package can be loaded with stated dependencies ... [1s/1s] OK
* checking whether the package can be unloaded cleanly ... [0s/1s] OK
* checking whether the namespace can be loaded with stated dependencies ... [1s/1s] OK
* checking whether the namespace can be unloaded cleanly ... [1s/1s] OK
* checking loading without being on the library search path ... [1s/1s] OK
* checking whether startup messages can be suppressed ... [1s/1s] OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... [5s/5s] OK
* checking Rd files ... [0s/0s] OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... [53s/73s] ERROR
Running examples in ‘tabnet-Ex.R’ failed
The error most likely occurred in:

> ### Name: tabnet_pretrain
> ### Title: Tabnet model
> ### Aliases: tabnet_pretrain tabnet_pretrain.default
> ###   tabnet_pretrain.data.frame tabnet_pretrain.formula
> ###   tabnet_pretrain.recipe tabnet_pretrain.Node
> 
> ### ** Examples
> 
> ## Don't show: 
> if (torch::torch_is_installed()) (if (getRversion() >= "3.4") withAutoprint else force)({ # examplesIf
+ ## End(Don't show)
+ data("ames", package = "modeldata")
+ pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
+ ## Don't show: 
+ }) # examplesIf
> data("ames", package = "modeldata")
> pretrained <- tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
Error in `value_error()`:
! Can't convert data of class: 'NULL'
Backtrace:
     ▆
  1. ├─(if (getRversion() >= "3.4") withAutoprint else force)(...)
  2. │ └─base::source(...)
  3. │   ├─base::withVisible(eval(ei, envir))
  4. │   └─base::eval(ei, envir)
  5. │     └─base::eval(ei, envir)
  6. ├─tabnet::tabnet_pretrain(Sale_Price ~ ., data = ames, epochs = 1)
  7. └─tabnet:::tabnet_pretrain.formula(...)
  8.   └─tabnet:::tabnet_bridge(...)
  9.     └─tabnet:::tabnet_train_unsupervised(...)
 10.       ├─coro::loop(...)
 11.       │ └─rlang::eval_bare(loop, env)
 12.       └─coro (local) `<fn>`()
 13.         ├─coro::is_exhausted(elt <<- iterator())
 14.         ├─elt <<- iterator()
 15.         │ └─rlang::env_poke(env, lhs, value, inherit = TRUE, create = FALSE)
 16.         └─torch (local) iterator()
 17.           └─torch::dataloader_next(iter, coro::exhausted())
 18.             └─iter$.next()
 19.               └─self$.next_data()
 20.                 └─self$.dataset_fetcher$fetch(index)
 21.                   └─self$collate_fn(data)
 22.                     └─base::lapply(data, utils_data_default_convert)
 23.                       └─torch (local) FUN(X[[i]], ...)
 24.                         └─base::tryCatch(...)
 25.                           └─base (local) tryCatchList(expr, classes, parentenv, handlers)
 26.                             └─base (local) tryCatchOne(expr, names, parentenv, handlers[[1L]])
 27.                               └─value[[3L]](cond)
 28.                                 └─torch:::value_error("Can't convert data of class: '{class(data)}'")
 29.                                   └─rlang::abort(glue::glue(gettext(...)[[1]], .envir = env), class = "value_error")
Execution halted
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ... [1s/1s] OK
  Running ‘spelling.R’ [0s/0s]
  Running ‘testthat.R’ [1s/1s]
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... [27s/36s] OK
* checking PDF version of manual ... [4s/5s] OK
* DONE
Status: 1 ERROR
* using check arguments '--no-clean-on-error '

* elapsed time (check, wall clock): 2:32