Hi,

this post is about foreach operators, the compiler package and the last update of doMC that includes support for the compiler functionality.

I am using a home-made %dopar%-like operator that adds some custom expression to be executed before the foreach loop expression itself (see sample code below). It used to work perfectly with doMC 1.2.1, but with the introduction of the compiler functionality, things do not work properly. The change in the doMC package consists in evaluating a compiled expression instead of the original R expression:

# from doMC:::doMC ...
c.expr <- comp(expr, env = envir, options = list(suppressUndefined = TRUE))

and for R >= 2.13.0 comp is defined as compiler::compile:
function (e, env = .GlobalEnv, options = NULL)
{
    cenv <- makeCenv(env)
    cntxt <- make.toplevelContext(cenv, options)
    cntxt$env <- addCenvVars(cenv, findLocals(e, cntxt))
    genCode(e, cntxt)
}
<environment: namespace:compiler>

My guess is that the function findLocals or genCode can not handle a 2-length expression vector.

Maybe somebody who knows the internals of these functions could explain better this behaviour?
How can I concatenate two expressions into a single one?

Thank you,
Renaud


##################################################
# Sample code
##################################################

`%dopar2%` <- function(obj, ex){

    # append custom code to the expression
    ex <- c(expression({ a <- i; message("Custom ", a);}), substitute(ex))

    # call the standard %dopar% operator
    do.call(`%dopar%`, list(obj, ex), envir=parent.frame() )
}
res <- foreach(i=1:3) %dopar2% { print(i); i*2; }
res


#########################
# Output with doSEQ or doMC 1.2.1
#########################
Custom 1
[1] 1
Custom 2
[1] 2
Custom 3
[1] 3
> res
[[1]]
[1] 2

[[2]]
[1] 4

[[3]]
[1] 6


#########################
# Output with doMC 1.2.2
#########################

[[1]]
expression({
    a <- i
    message("Custom ", a)
}, {
    print(i)
    i * 2
})

[[2]]
expression({
    a <- i
    message("Custom ", a)
}, {
    print(i)
    i * 2
})

[[3]]
expression({
    a <- i
    message("Custom ", a)
}, {
    print(i)
    i * 2
})



--
Renaud Gaujoux
Computational Biology - University of Cape Town
South Africa




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