[Rd] clusterApply arguments

[Tomas Kalibera]

On 03/15/2018 05:25 PM, Henrik Bengtsson wrote:
> On Thu, Mar 15, 2018 at 3:39 AM,  <FlorianSchwendinger at gmx.at> wrote:
>> Thank you for your answer!
>> I agree with you except for the 3 (Error) example and
>> I realize now I should have started with that in the explanation.
>>
>>  From my point of view
>> parLapply(cl = clu, X = 1:2, fun = fun, c = 1)
>> shouldn't give an error.
>>
>> This could be easily avoided by using all the argument
>> names in the custerApply call of parLapply which means changing,
>>
>> parLapply <- function(cl = NULL, X, fun, ...)  {
>>      cl <- defaultCluster(cl)
>>      do.call(c, clusterApply(cl, x = splitList(X, length(cl)),
>>              fun = lapply, fun, ...), quote = TRUE)
>> }
>>
>> to
>>
>> parLapply <- function (cl = NULL, X, fun, ...)  {
>>      cl <- defaultCluster(cl)
>>      do.call(c, clusterApply(cl = cl, x = splitList(X, length(cl)),
>>              fun = lapply, fun, ...), quote = TRUE)
>> }
> Oh... sorry I missed that point.  Yes, I agree, this should be a
> trivial fix to the 'parallel' package.
>
> /Henrik
Yes, thanks for the report, I am testing a fix for this (and other 
missing argument names in calls involving ...) in parallel.
Tomas
>
>> .
>>
>> Best regards,
>> Florian
>>
>>
>>
>> Gesendet: Mittwoch, 14. März 2018 um 19:05 Uhr
>> Von: "Henrik Bengtsson" <henrik.bengtsson at gmail.com>
>> An: "Florian Schwendinger" <Florian_Schwendinger at gmx.at>
>> Cc: fschwend at wu.ac.at, R-devel <r-devel at r-project.org>
>> Betreff: Re: [Rd] clusterApply arguments
>> This is nothing specific to parallel::clusterApply() per se. It is the
>> default behavior of R where it allows for partial argument names. I
>> don't think there's much that can be done here except always using
>> fully named arguments to the "apply" function itself as you show.
>>
>> You can "alert" yourself when there's a mistake by using:
>>
>> options(warnPartialMatchArgs = TRUE)
>>
>> e.g.
>>
>>> clusterApply(clu, x = 1:2, fun = fun, c = 1) ## Error
>> Warning in clusterApply(clu, x = 1:2, fun = fun, c = 1) :
>> partial argument match of 'c' to 'cl'
>> Error in checkCluster(cl) : not a valid cluster
>>
>> It's still only a warning, but an informative one.
>>
>> /Henrik
>>
>> On Wed, Mar 14, 2018 at 8:50 AM, Florian Schwendinger
>> <Florian_Schwendinger at gmx.at> wrote:
>>> Hi!
>>>
>>> I recognized that the argument matching of clusterApply (and therefore parLapply) goes wrong when one of the arguments of the function is called "c". In this case, the argument "c" is used as cluster and the functions give the following error message "Error in checkCluster(cl) : not a valid cluster".
>>>
>>> Of course, "c" is for many reasons an unfortunate argument name and this can be easily fixed by the user side.
>>>
>>> See below for a small example.
>>>
>>> library(parallel)
>>>
>>> clu <- makeCluster(2, "PSOCK")
>>>
>>> fun <- function(x0, x1) (x0 + x1)
>>> clusterApply(clu, x = 1:2, fun = fun, x1 = 1) ## OK
>>> parLapply(cl = clu, X = 1:2, fun = fun, x1 = 1) #OK
>>>
>>>
>>> fun <- function(b, c) (b + c)
>>> clusterApply(clu, x = 1:2, fun = fun, c = 1) ## Error
>>> clusterApply(cl = clu, x = 1:2, fun = fun, c = 1) ## OK
>>> parLapply(cl = clu, X = 1:2, fun = fun, c = 1) ## Error
>>>
>>> stopCluster(clu)
>>>
>>>
>>> I used "R version 3.4.3 Patched (2018-01-07 r74099".
>>>
>>>
>>> Best regards,
>>> Florian
>>>
>>> ______________________________________________
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>>> https://stat.ethz.ch/mailman/listinfo/r-devel
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