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### Running command:
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###   /Library/Frameworks/R.framework/Resources/bin/R CMD build --keep-empty-dirs --no-resave-data TitanCNA
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* checking for file ‘TitanCNA/DESCRIPTION’ ... OK
* preparing ‘TitanCNA’:
* checking DESCRIPTION meta-information ... OK
* cleaning src
* installing the package to build vignettes
* creating vignettes ...sh: line 1: 11971 Segmentation fault: 11  '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/RtmpqeDC2O/xshell1b4764de2e21' 2>&1
 ERROR
--- re-building ‘TitanCNA.Rnw’ using Sweave
Warning: replacing previous import ‘GenomicRanges::shift’ by ‘data.table::shift’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::first’ by ‘dplyr::first’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::desc’ by ‘dplyr::desc’ when loading ‘TitanCNA’
Warning: replacing previous import ‘BiocGenerics::setequal’ by ‘dplyr::setequal’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::slice’ by ‘dplyr::slice’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::intersect’ by ‘dplyr::intersect’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::last’ by ‘dplyr::last’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::union’ by ‘dplyr::union’ when loading ‘TitanCNA’
Warning: replacing previous import ‘data.table::between’ by ‘dplyr::between’ when loading ‘TitanCNA’
Warning: replacing previous import ‘BiocGenerics::combine’ by ‘dplyr::combine’ when loading ‘TitanCNA’
Warning: replacing previous import ‘IRanges::collapse’ by ‘dplyr::collapse’ when loading ‘TitanCNA’
Warning: replacing previous import ‘GenomicRanges::setdiff’ by ‘dplyr::setdiff’ when loading ‘TitanCNA’
Warning: replacing previous import ‘dplyr::select’ by ‘VariantAnnotation::select’ when loading ‘TitanCNA’
Warning in fun(libname, pkgname) :
  Package 'TitanCNA' is deprecated and will be removed from Bioconductor
  version 3.23
titan: Loading data /private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/test_alleleCounts_chr2.txt
Reading GC and mappability files
Slurping: /private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/gc_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Slurping: /private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/map_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading tumour file:/private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/test_tum_chr2.wig
Slurping: /private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/test_tum_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Loading normal file:/private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/test_norm_chr2.wig
Slurping: /private/tmp/RtmpqeDC2O/Rinst1b473ab82a65/TitanCNA/extdata/test_norm_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Warning in .replace_seqlevels_style(x_seqlevels, value) :
  found more than one best sequence renaming map compatible with seqname style "NCBI" for this object, using the first one
Correcting Tumour
Applying filter on data...
Correcting for GC bias...
Correcting for mappability bias...
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) :
  collapsing to unique 'x' values
Correcting Normal
Applying filter on data...
Correcting for GC bias...
Correcting for mappability bias...
Warning in regularize.values(x, y, ties, missing(ties), na.rm = na.rm) :
  collapsing to unique 'x' values
Normalizing Tumour by Normal
Removed Chrs: 
titan: Running HMM...
fwdBack: Iteration 1 chr: Warning: executing %dopar% sequentially: no parallel backend registered
1 
Using Coordinate Descent iteration 11 with Fval=-30455 and n=0.3941 (map), s=[0.0082,0.3819], phi=1.502
fwdBack: loglik=-34161.5996
fwdBack: priorN=0.3596
fwdBack: priorS=-2.6740
fwdBack: priorVar=-437.9723
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.0902
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 1 complete loglik=-34541.6329
fwdBack: Elapsed time for iteration 1: 0.0436m
fwdBack: Iteration 2 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26838 and n=0.2526 (map), s=[0.0099,0.4339], phi=1.467
fwdBack: loglik=-28931.9835
fwdBack: priorN=0.1247
fwdBack: priorS=-2.4446
fwdBack: priorVar=-748.3402
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.2661
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 2 complete loglik=-29622.5661
fwdBack: Elapsed time for iteration 2: 0.0417m
fwdBack: Iteration 3 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26084 and n=0.2114 (map), s=[0.0069,0.4528], phi=1.481
fwdBack: loglik=-26357.0182
fwdBack: priorN=0.0002
fwdBack: priorS=-2.7879
fwdBack: priorVar=-817.3506
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.1947
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 3 complete loglik=-27117.0076
fwdBack: Elapsed time for iteration 3: 0.0422m
fwdBack: Total elapsed time: 0.2158m
outputTitanResults: Correcting results...
outputTitanResults: Recomputing log-likelihood.
titan: Running HMM...
fwdBack: Iteration 1 chr: 1 
 *** caught segfault ***
address 0x1, cause 'memory not mapped'

Traceback:
 1: eval(xpr, envir = envir)
 2: eval(xpr, envir = envir)
 3: doTryCatch(return(expr), name, parentenv, handler)
 4: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 5: tryCatchList(expr, classes, parentenv, handlers)
 6: tryCatch(eval(xpr, envir = envir), error = function(e) e)
 7: doTryCatch(return(expr), name, parentenv, handler)
 8: tryCatchOne(expr, names, parentenv, handlers[[1L]])
 9: tryCatchList(expr, classes, parentenv, handlers)
10: tryCatch({    repeat {        args <- nextElem(it)        if (obj$verbose) {            cat(sprintf("evaluation # %d:\n", i))            print(args)        }        for (a in names(args)) assign(a, args[[a]], pos = envir,             inherits = FALSE)        r <- tryCatch(eval(xpr, envir = envir), error = function(e) e)        if (obj$verbose) {            cat("result of evaluating expression:\n")            print(r)        }        tryCatch(accumulator(list(r), i), error = function(e) {            cat("error calling combine function:\n")            print(e)            NULL        })        i <- i + 1    }}, error = function(e) {    if (!identical(conditionMessage(e), "StopIteration"))         stop(simpleError(conditionMessage(e), expr))})
11: e$fun(obj, substitute(ex), parent.frame(), e$data)
12: foreach(c = 1:numChrs, .combine = rbind, .noexport = c("data")) %dopar%     {        if (verbose == TRUE) {            message(c, " ", appendLF = FALSE)        }        .Call("fwd_backC_clonalCN", log(piGiZi[c, ]), py[, chrsI[[c]]],             gNoOUTStateParams$ct, gNoOUTStateParams$ZS, Z, posn[chrsI[[c]]],             txnZstrength * txnExpLen, txnExpLen, O)    }
13: runEMclonalCN(data, newParams, maxiter = 1, txnExpLen = convergeParams$txn_exp_len,     txnZstrength = convergeParams$txn_z_strength, useOutlierState = FALSE,     normalEstimateMethod = "fixed", estimateS = FALSE, estimatePloidy = F,     verbose = verbose)
14: removeEmptyClusters(data, convergeParams, outmat, proportionThreshold = proportionThreshold,     proportionThresholdClonal = proportionThresholdClonal, recomputeLogLik = recomputeLogLik,     verbose = verbose)
15: outputTitanResults(data, convergeParams, optimalPath, filename = NULL,     posteriorProbs = FALSE, subcloneProfiles = TRUE, correctResults = TRUE,     proportionThreshold = 0.05, proportionThresholdClonal = 0.05,     is.haplotypeData = FALSE)
16: eval(expr, .GlobalEnv)
17: eval(expr, .GlobalEnv)
18: withVisible(eval(expr, .GlobalEnv))
19: doTryCatch(return(expr), name, parentenv, handler)
20: tryCatchOne(expr, names, parentenv, handlers[[1L]])
21: tryCatchList(expr, classes, parentenv, handlers)
22: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
23: try(withVisible(eval(expr, .GlobalEnv)), silent = TRUE)
24: evalFunc(ce, options)
25: tryCatchList(expr, classes, parentenv, handlers)
26: tryCatch(evalFunc(ce, options), finally = {    cat("\n")    sink()})
27: driver$runcode(drobj, chunk, chunkopts)
28: utils::Sweave(...)
29: engine$weave(file, quiet = quiet, encoding = enc)
30: doTryCatch(return(expr), name, parentenv, handler)
31: tryCatchOne(expr, names, parentenv, handlers[[1L]])
32: tryCatchList(expr, classes, parentenv, handlers)
33: tryCatch({    engine$weave(file, quiet = quiet, encoding = enc)    setwd(startdir)    output <- find_vignette_product(name, by = "weave", engine = engine)    if (!have.makefile && vignette_is_tex(output)) {        texi2pdf(file = output, clean = FALSE, quiet = quiet)        output <- find_vignette_product(name, by = "texi2pdf",             engine = engine)    }    outputs <- c(outputs, output)}, error = function(e) {    thisOK <<- FALSE    fails <<- c(fails, file)    message(gettextf("Error: processing vignette '%s' failed with diagnostics:\n%s",         file, conditionMessage(e)))})
34: tools::buildVignettes(dir = ".", tangle = TRUE)
An irrecoverable exception occurred. R is aborting now ...