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###########################################################################/**
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# @RdocClass RspShSourceCode
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#
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# @title "The RspShSourceCode class"
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#
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# \description{
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# @classhierarchy
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#
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# An RspShSourceCode object is an @see "RspSourceCode" holding shell code.
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# }
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#
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# @synopsis
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#
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# \arguments{
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# \item{...}{@character strings.}
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# }
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#
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# \section{Fields and Methods}{
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# @allmethods
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# }
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#
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# @author
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#
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# @keyword internal
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#*/###########################################################################
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setConstructorS3("RspShSourceCode", function(...) {
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extend(RspSourceCode(...), "RspShSourceCode")
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})
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#########################################################################/**
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# @RdocMethod evaluate
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# @aliasmethod findProcessor
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#
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# @title "Evaluates the shell (sh) code"
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#
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# \description{
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# @get "title".
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# }
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#
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# @synopsis
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#
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# \arguments{
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# \item{envir}{The @environment in which the RSP string is evaluated.}
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# \item{args}{A named @list of arguments assigned to the environment
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# in which the RSP string is parsed and evaluated.
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# See @see "R.utils::cmdArgs".}
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# \item{output}{A @character string specifying how the RSP output
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# should be handled/returned.}
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# \item{...}{Optional arguments passed to @see "base::eval".}
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# }
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#
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# \value{
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# If \code{output="stdout"}, then @NULL is returned and the RSP output
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# is sent to the standard output.
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# Note that this is output is "buffered", meaning it will be sent to
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# standard output upon completion. This is a limitation of R.
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# If \code{output="RspStringProduct"}, then the output is captured
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# and returned as an @see "RspStringProduct" with attributes set.
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# }
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#
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# @author
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#
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# \seealso{
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# @seeclass
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# }
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#*/#########################################################################
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setMethodS3("evaluate", "RspShSourceCode", function(object, envir=parent.frame(), args="*", output=c("RspStringProduct", "stdout"), ..., verbose=FALSE) {
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# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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# Local functions
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# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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evalSh <- function(text, ...) {
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pathnameT <- tempfile(pattern="RSP-sh-", fileext=".sh")
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writeLines(text, con=pathnameT)
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on.exit({
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file.remove(pathnameT)
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})
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res <- system2("sh", args=list(pathnameT), stdout=TRUE)
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res <- paste(res, collapse="\n")
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res
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} # evalSh()
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# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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# Validate arguments
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# - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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# Argument 'args':
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args <- cmdArgs(args=args)
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# Argument 'output':
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output <- match.arg(output)
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code <- object
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# Assign arguments to the parse/evaluation environment
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attachLocally(args, envir=envir)
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# Evaluate R source code and capture output
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res <- evalSh(code)
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if (output == "RspStringProduct") {
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res <- RspStringProduct(res, type=getType(object))
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} else {
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cat(res)
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res <- NULL
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}
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res
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}, createGeneric=FALSE) # evaluate()
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setMethodS3("findProcessor", "RspShSourceCode", function(object, ...) {
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function(...) {
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evaluate(...)
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}
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}) # findProcess()
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HenrikBengtsson