radian: Bus Error on Radian Launch

Setting R_HOME also did not do the trick for me. And using Homebrew R isn’t really a solution because (last I checked) it prevents the use of CRAN binary packages.

If it helps give any clues: reinstalling problematic packages from source makes the issue goes away (e.g., using renv, renv::install("dplyr", type = "source") — but there were other packages, like httpuv). But this is too time-consuming across multiple projects to be a real solution, and identifying the culprit packages doesn’t seem entirely trivial, esp with many projects that are using renv.

Ai, maybe it is not obvious enough, please make sure that both python, R and R packages are arm64.

Unfortunately, that does not work on my m2. I tried with the homebrew python and r (brew install --cask r) and the official arm64 r.

What if I want to use radian on MacOS with pyenv and rig, which enables using multiple versions of Python and R? I use pyenv to compile and install Python and rig to maintain multiple versions of R.

I need to support multiple versions of Python and R for my projects and it would be great to find a way to be able to leverage radian in these situations.

I just tested @randy3k’s statement about Homebrew R and Python being the same. I was having this issue when I had the Homebrew cask, but when I installed from the Homebrew formula, the error seems to have disappeared. I recommend others try this out. If your R executable (in $(brew --prefix)/bin) points to /Library/Frameworks/R.framework..., you have the cask installed. Try brew uninstall --cask r && brew install r.

I was running into the issue when radian would look for the exported members for autocompletion, specifically with cmdstanr. I thought that since cmdstanr has an external dependency it was the issue, but then rmarkdown had a problem. I wonder if there’s some relationship to external libraries that could be hosing the dylib lookup?

This has the assumption that your Python is managed by Homebrew as well!

I think this is a radian issue - I’m experiencing the caught bus error by using radian in the terminal with no VS Code involved. The error happens when I try to load a package with library.

I’m using R 4.3 installed by rig.

❯ radian --r-binary=/usr/local/bin/R-4.3-arm64 --version
radian version: 0.6.7
r executable: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/bin/R
r version: 4.3.1
python executable: /Users/lmendelowitz/.pyenv/versions/3.10.8/bin/python3.10
python version: 3.10.8

❯ radian --r-binary=/usr/local/bin/R-4.3-arm64
R version 4.3.1 (2023-06-16) -- "Beagle Scouts"
Platform: aarch64-apple-darwin20 (64-bit)

r$> library(dplyr)

 *** caught bus error ***
address 0x10394a6d0, cause 'invalid alignment'

Traceback:
 1: dyn.load(file, DLLpath = DLLpath, ...)
 2: library.dynam(lib, package, package.lib)
 3: loadNamespace(i, c(lib.loc, .libPaths()), versionCheck = vI[[i]])
 4: namespaceImport(ns, loadNamespace(i, c(lib.loc, .libPaths()),     versionCheck = vI[[i]]), from = package)
 5: loadNamespace(package, lib.loc)
 6: doTryCatch(return(expr), name, parentenv, handler)
 7: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 8: tryCatchList(expr, classes, parentenv, handlers)
 9: tryCatch({    attr(package, "LibPath") <- which.lib.loc    ns <- loadNamespace(package, lib.loc)    env <- attachNamespace(ns, pos = pos, deps, exclude, include.only)}, error = function(e) {    P <- if (!is.null(cc <- conditionCall(e)))         paste(" in", deparse(cc)[1L])    else ""    msg <- gettextf("package or namespace load failed for %s%s:\n %s",         sQuote(package), P, conditionMessage(e))    if (logical.return && !quietly)         message(paste("Error:", msg), domain = NA)    else stop(msg, call. = FALSE, domain = NA)})
10: library(dplyr)

Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace

Selection:

I receive no error if I run without radian:

❯ /usr/local/bin/R-4.3-arm64

R version 4.3.1 (2023-06-16) -- "Beagle Scouts"
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Platform: aarch64-apple-darwin20 (64-bit)

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> library(dplyr)

Attaching package: ‘dplyr’

The following objects are masked from ‘package:stats’:

    filter, lag

The following objects are masked from ‘package:base’:

    intersect, setdiff, setequal, union

>