After update to R 4.0.0: multi-core doesn't work

[agilebean]

After update from R 3.6 to 4.0 on MacOS Catalina,
plot_gg() does not work in multi-core mode, and the ETA visualization bar is not shown either.
After about 1.5 min, the following error is thrown:

Error in makePSOCKcluster(names = spec, ...) : 
  Cluster setup failed. 16 of 16 workers failed to connect.

Is this due to an underlying library?
Reinstalling Rccp package did not help.

sessionInfo:

R version 4.0.0 (2020-04-24)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Catalina 10.15.4

Matrix products: default
BLAS:   /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib

locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

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

other attached packages:
 [1] rayshader_0.16.0         DataExplorer_0.8.1       rmarkdown_2.1           
 [4] likert_1.3.5             xtable_1.8-4             machinelearningtools_0.1
 [7] forcats_0.5.0            stringr_1.4.0            dplyr_0.8.99.9003       
[10] purrr_0.3.4              readr_1.3.1              tidyr_1.1.0             
[13] tibble_3.0.1             ggplot2_3.3.0            tidyverse_1.3.0         
[16] magrittr_1.5             googlesheets_0.3.0       psych_1.9.12.31         

loaded via a namespace (and not attached):
 [1] nlme_3.1-147            fs_1.4.1                usethis_1.6.1           lubridate_1.7.8        
 [5] devtools_2.3.0          webshot_0.5.2           progress_1.2.2          doParallel_1.0.15      
 [9] RColorBrewer_1.1-2      httr_1.4.1              rprojroot_1.3-2         tools_4.0.0            
[13] backports_1.1.7         utf8_1.1.4              R6_2.4.1                DBI_1.1.0              
[17] colorspace_1.4-1        manipulateWidget_0.10.1 withr_2.2.0             tidyselect_1.1.0       
[21] gridExtra_2.3           prettyunits_1.1.1       mnormt_1.5-7            processx_3.4.2         
[25] compiler_4.0.0          cli_2.0.2               rvest_0.3.5             xml2_1.3.2             
[29] desc_1.2.0              labeling_0.3            scales_1.1.1            callr_3.4.3            
[33] digest_0.6.25           pkgconfig_2.0.3         htmltools_0.4.0         sessioninfo_1.1.1      
[37] fastmap_1.0.1           dbplyr_1.4.3            htmlwidgets_1.5.1       rlang_0.4.6            
[41] readxl_1.3.1            rstudioapi_0.11         shiny_1.4.0.2           farver_2.0.3           
[45] generics_0.0.2          jsonlite_1.6.1          crosstalk_1.1.0.1       Rcpp_1.0.4.6           
[49] munsell_0.5.0           fansi_0.4.1             lifecycle_0.2.0         stringi_1.4.6          
[53] pkgbuild_1.0.8          plyr_1.8.6              grid_4.0.0              promises_1.1.0         
[57] parallel_4.0.0          crayon_1.3.4            miniUI_0.1.1.1          lattice_0.20-41        
[61] haven_2.2.0             hms_0.5.3               knitr_1.28              ps_1.3.3               
[65] pillar_1.4.4            igraph_1.2.5            codetools_0.2-16        reshape2_1.4.4         
[69] pkgload_1.0.2           reprex_0.3.0            glue_1.4.1              packrat_0.5.0          
[73] evaluate_0.14           data.table_1.12.8       remotes_2.1.1           modelr_0.1.8           
[77] httpuv_1.5.2            foreach_1.5.0           vctrs_0.3.0             testthat_2.3.2         
[81] networkD3_0.4           cellranger_1.1.0        gtable_0.3.0            assertthat_0.2.1       
[85] xfun_0.14               mime_0.9                broom_0.5.6             later_1.0.0            
[89] iterators_1.0.12        tinytex_0.23            memoise_1.1.0           rgl_0.100.54           
[93] ellipsis_0.3.1  

[tylermorganwall]

Have you tried setting plot_gg(..., raytrace=FALSE)?

[agilebean]

@tylermorganwall yes, but it doesn't render anything.
This issue seems to be caused by the parallel package that does not work yet with R 4.0.0.
The workaround is to set a sequential option, and because rayshader seems to trigger the makePSOCKcluster(), make an entry in the .Rprofile.

[agilebean]

R 4.0.0 seems to cause multiple incompatibilities.
The following all worked perfectly under R 3.5.
After getting rid of the makePSOCKcluster error, the plot_gg is able to work on the cluster and finishes. However, the plot is not shown in the Viewer window.
render_snapshot creates a black image, see:

[agilebean]

Removing the multicore option,

gg <- plot_gg(
  ggdiamonds,
  # multicore = TRUE,
  width = 5,
  height = 5,
  scale = 250,
  windowsize = c(1400, 866),
  zoom = 0.55,
  phi = 30
)

triggers ETA progress bar:

but still no output shown.
Maybe this a hidden incompatibility between R 4.0.0 and X11??

[tylermorganwall]

For the black square, check out this (#77 ) closed issue and make sure you aren't writing to the NULL device in RGL.

e.g. run this before loading either rayshader or rgl

options(rgl.useNULL = FALSE)

[agilebean]

with

options(rgl.useNULL = FALSE)
render_snapshot()

still a black square is shown in the viewer.

it is too sad that the R4.0 update brought all this!

[tylermorganwall]

Are you running that code prior to loading rayshader or rgl with library? With a fresh session:

options(rgl.useNULL = FALSE)
library(rayshader)
...
your code
...

Otherwise it won't have any effect.