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library(foreach)
library(itertools)
n <- 10777
nrowsx <- 959
ncolsy <- 101
chunks <- 80 # applied to "n"
xchunks <- 1 # applied to "nrowsx"
ychunks <- 1 # applied to "ncolsy"
x <- matrix(rnorm(nrowsx * n), nrow=nrowsx)
y <- matrix(rnorm(n * ncolsy), nrow=n)
expected <- x %*% y
actual <-
foreach(ia=iarray(x, c(2,1), chunks=c(chunks,xchunks)),
.combine='rbind') %:%
foreach(a=ia, ib=iarray(y, c(2,1), chunks=c(ychunks,chunks)),
.combine='+') %:%
foreach(b=ib, .combine='cbind') %do% {
a %*% b
}
all.equal(actual, expected)
actual <-
foreach(ib=iarray(y, c(1,2), chunks=c(chunks,ychunks)),
.combine='cbind') %:%
foreach(b=ib, ia=iarray(x, c(1,2), chunks=c(xchunks,chunks)),
.combine='+') %:%
foreach(a=ia, .combine='rbind') %do% {
a %*% b
}
all.equal(actual, expected)
actual <-
foreach(bsub=iarray(y, 2, chunks=ychunks),
.combine='cbind') %:%
foreach(ia=iarray(x, c(2,1), chunks=c(chunks,xchunks)),
.combine='rbind') %:%
foreach(a=ia, b=iarray(bsub, 1, chunks=chunks),
.combine='+') %do% {
a %*% b
}
all.equal(actual, expected)
iqseq <- function(n, ...) {
i <- 0
it <- idiv(n, ...)
nextEl <- function() {
j <- i + nextElem(it)
val <- call(':', i + 1, j)
i <<- j
val
}
obj <- list(nextElem=nextEl)
class(obj) <- c('abstractiter', 'iter')
obj
}
actual <-
foreach(bcols=iqseq(ncol(y), chunks=ychunks),
.combine='cbind') %:%
foreach(ia=iarray(x, c(2,1), chunks=c(chunks,xchunks)),
.combine='rbind') %:%
foreach(a=ia, b=iarray(y, 1, chunks=chunks, idx=list(TRUE, bcols)),
.combine='+') %do% {
a %*% b
}
all.equal(actual, expected)
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