Caught segfault error

I’m running a code that relies on the Prophet library, but when I want to predict using a trained model, I get a “caught segfault error”. Any help on how to solve this? I’ve remove/reinstalled the prophet library already without any success.

 *** caught segfault ***
address 0x12cf90ffc, cause 'memory not mapped'
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Traceback:
1: pmax(abs(as.integer(width)), if (format == "fg" || format == "f") { xEx <- as.integer(floor(log10(abs(x + (x == 0))))) as.integer(x < 0 | flag != "") + digits + if (format == "f") { 2L + pmax(xEx, 0L) } else { 1L + pmax(xEx, digits, digits + (-xEx) + 1L) + length(nf) }} else rep.int(digits + 8L, n))
2: formatC(x, format = "fg", width = 1, digits = digits)
3: paste0(if (use.fC) formatC(x, format = "fg", width = 1, digits = digits) else format(x, trim = TRUE, digits = digits, ...), "%")
4: format_perc(probs)
5: quantile.default(newX[, i], ...)
6: FUN(newX[, i], ...)
7: apply(comp, 1, stats::quantile, lower.p, na.rm = TRUE)
8: predict_seasonal_components(object, df)
9: predict.prophet(m, all_data)
10: predict(m, all_data)
11: eval(statements[[idx]], envir = sourceEnv)
12: eval(statements[[idx]], envir = sourceEnv)
13: sourceWithProgress(script = "/Users/josolare/Documents/workspace/src/LRpR/backcaster.R", encoding = "UTF-8", con = stdout(), importRdata = NULL, exportRdata = NULL)
An irrecoverable exception occurred. R is aborting now ...

The sessionInfo is shown below:

> sessionInfo()
R version 4.0.2 (2020-06-22)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Mojave 10.14.6

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     

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.5        urca_1.3-0        pillar_1.4.6      compiler_4.0.2   
 [5] tseries_0.10-47   tools_4.0.2       xts_0.12-0        nlme_3.1-148     
 [9] lubridate_1.7.9   lifecycle_0.2.0   tibble_3.0.3      gtable_0.3.0     
[13] lattice_0.20-41   pkgconfig_2.0.3   rlang_0.4.7       DBI_1.1.0        
[17] rstudioapi_0.11   curl_4.3          parallel_4.0.2    dplyr_1.0.0      
[21] generics_0.0.2    vctrs_0.3.2       imputeTS_3.0      lmtest_0.9-37    
[25] grid_4.0.2        nnet_7.3-14       forecast_8.12     tidyselect_1.1.0 
[29] glue_1.4.1        R6_2.4.1          tidyr_1.1.0       TTR_0.23-6       
[33] ggplot2_3.3.2     purrr_0.3.4       magrittr_1.5      scales_1.1.1     
[37] ellipsis_0.3.1    quantmod_0.4.17   timeDate_3043.102 colorspace_1.4-1 
[41] fracdiff_1.5-1    quadprog_1.5-8    stinepack_1.4     munsell_0.5.0    
[45] crayon_1.3.4      zoo_1.8-8

[hideaki]

On my environment, it seems this only happens with tibble 3.0.2 or later. It does not happen with tibble 3.0.1.

[bletham]

@seanjtaylor ran into some segfaults when packages hadn’t been upgrade for a while, and found that devtools::clean_dll fixed it.