Cmdstanr fails to read its own csv files for large number of parameters

Strangely, I have the same issue on one of my (smaller) laptop, but not with large data (90k observations, bernoulli mixed model, cmdstanr backend)… despite updating all from latest GitHub. Any thoughts?

Compiling Stan program...
Start sampling
Running MCMC with 4 parallel chains...

Warning: Chain 1 finished unexpectedly!

Warning: Chain 2 finished unexpectedly!

Warning: Chain 3 finished unexpectedly!

Warning: Chain 4 finished unexpectedly!

Warning: Use read_cmdstan_csv() to read the results of the failed chains.
Error in cmdstanr::read_cmdstan_csv(out$output_files(), variables = "",  : 
  Assertion on 'files' failed: No file provided.
In addition: Warning messages:
1: All chains finished unexpectedly! Use the $output(chain_id) method for more information.
 
2: No chains finished successfully. Unable to retrieve the fit. 
R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19042)

Matrix products: default

locale:
[1] LC_COLLATE=English_Singapore.utf8  LC_CTYPE=English_Singapore.utf8   
[3] LC_MONETARY=English_Singapore.utf8 LC_NUMERIC=C                      
[5] LC_TIME=English_Singapore.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] brms_2.17.5    Rcpp_1.0.8.3   cmdstanr_0.5.3

loaded via a namespace (and not attached):
 [1] Brobdingnag_1.2-8    jsonlite_1.8.0       gtools_3.9.3        
 [4] StanHeaders_2.21.0-7 RcppParallel_5.1.5   threejs_0.3.3       
 [7] shiny_1.7.2          assertthat_0.2.1     posterior_1.2.2     
[10] distributional_0.3.0 stats4_4.2.0         tensorA_0.36.2      
[13] pillar_1.8.0         backports_1.4.1      lattice_0.20-45     
[16] glue_1.6.2           digest_0.6.29        promises_1.2.0.1    
[19] checkmate_2.1.0      colorspace_2.0-3     htmltools_0.5.2     
[22] httpuv_1.6.5         Matrix_1.4-1         plyr_1.8.7          
[25] dygraphs_1.1.1.6     pkgconfig_2.0.3      rstan_2.21.5        
[28] purrr_0.3.4          xtable_1.8-4         mvtnorm_1.1-3       
[31] scales_1.2.0         processx_3.7.0       later_1.3.0         
[34] tibble_3.1.8         bayesplot_1.9.0      generics_0.1.3      
[37] farver_2.1.1         ggplot2_3.3.6        ellipsis_0.3.2      
[40] DT_0.23              shinyjs_2.1.0        cli_3.3.0           
[43] crayon_1.5.1         magrittr_2.0.3       mime_0.12           
[46] ps_1.7.1             fansi_1.0.3          nlme_3.1-157        
[49] xts_0.12.1           pkgbuild_1.3.1       colourpicker_1.1.1  
[52] prettyunits_1.1.1    tools_4.2.0          loo_2.5.1           
[55] lifecycle_1.0.1      matrixStats_0.62.0   stringr_1.4.0       
[58] munsell_0.5.0        callr_3.7.0          compiler_4.2.0      
[61] rlang_1.0.4          grid_4.2.0           ggridges_0.5.3      
[64] rstudioapi_0.13      htmlwidgets_1.5.4    crosstalk_1.2.0     
[67] igraph_1.3.1         miniUI_0.1.1.1       base64enc_0.1-3     
[70] codetools_0.2-18     gtable_0.3.0         inline_0.3.19       
[73] abind_1.4-5          DBI_1.1.2            markdown_1.1        
[76] reshape2_1.4.4       R6_2.5.1             gridExtra_2.3       
[79] rstantools_2.2.0     zoo_1.8-10           knitr_1.39          
[82] bridgesampling_1.1-2 dplyr_1.0.9          fastmap_1.1.0       
[85] utf8_1.2.2           shinythemes_1.2.0    shinystan_2.6.0     
[88] stringi_1.7.6        parallel_4.2.0       vctrs_0.4.1         
[91] tidyselect_1.1.2     xfun_0.31            coda_0.19-4  

This is a different issue, as your chains have failed for some reason. Please open a separate thread if the issue persists.