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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: 80159 Segmentation fault: 11  '/Library/Frameworks/R.framework/Resources/bin/Rscript' --vanilla --default-packages= -e "tools::buildVignettes(dir = '.', tangle = TRUE)" > '/tmp/RtmpxHHaq1/xshell12561360ff955' 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/RtmpxHHaq1/Rinst12561778c92df/TitanCNA/extdata/test_alleleCounts_chr2.txt
Reading GC and mappability files
Slurping: /private/tmp/RtmpxHHaq1/Rinst12561778c92df/TitanCNA/extdata/gc_chr2.wig
Parsing: fixedStep chrom=2 start=1 step=1000 span=1000
Sorting by decreasing chromosome size
Slurping: /private/tmp/RtmpxHHaq1/Rinst12561778c92df/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/RtmpxHHaq1/Rinst12561778c92df/TitanCNA/extdata/test_tum_chr2.wig
Slurping: /private/tmp/RtmpxHHaq1/Rinst12561778c92df/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/RtmpxHHaq1/Rinst12561778c92df/TitanCNA/extdata/test_norm_chr2.wig
Slurping: /private/tmp/RtmpxHHaq1/Rinst12561778c92df/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=-30430 and n=0.3961 (map), s=[0.0082,0.3746], phi=1.497
fwdBack: loglik=-34143.7062
fwdBack: priorN=0.3614
fwdBack: priorS=-2.6809
fwdBack: priorVar=-437.7889
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.1145
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 1 complete loglik=-34523.5854
fwdBack: Elapsed time for iteration 1: 0.0571m
fwdBack: Iteration 2 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26816 and n=0.254 (map), s=[0.0083,0.4327], phi=1.471
fwdBack: loglik=-28866.3565
fwdBack: priorN=0.1284
fwdBack: priorS=-2.6247
fwdBack: priorVar=-752.6577
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.2425
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 2 complete loglik=-29561.4093
fwdBack: Elapsed time for iteration 2: 0.0564m
fwdBack: Iteration 3 chr: 1 
Using Coordinate Descent iteration 11 with Fval=-26061 and n=0.2114 (map), s=[0.0068,0.4529], phi=1.486
fwdBack: loglik=-26331.3141
fwdBack: priorN=0.0003
fwdBack: priorS=-2.8025
fwdBack: priorVar=-822.2334
fwdBack: priorVarR=0.0000
fwdBack: priorPhi=-1.1684
fwdBack: priorPiG=60.3628
fwdBack: priorPiZ=0.9808
fwdBack: EM iteration 3 complete loglik=-27096.1745
fwdBack: Elapsed time for iteration 3: 0.0559m
fwdBack: Total elapsed time: 0.2706m
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 ...