Return function from function with minimal environment
On Tue, 4 Apr 2006, Roger D. Peng wrote:
In R 2.3.0-to-be, I think you can do
foo <- function(huge) {
scale <- mean(huge)
g <- function(x) { scale * x }
environment(g) <- emptyenv()
g
}
You can, but you really don't want to and you will get the same error. A
'minimal environment' is baseenv(), since you are not going to be able to
do very much without the primitives such as * (and even "{"), and
(relevant here) you will never save anything from it so it will cost you
nothing. In this example, 'scale' is supposed to being picked up from the
environment. So (removing all the empty statements to save memory)
foo <- function(huge) {
scale <- mean(huge)
env <- new.env(parent=baseenv())
assign("scale", scale, envir=env)
bar <- function(x) { scale * x }
environment(bar) <- env
bar
}
is I think minimal baggage (and fcn saves in 153 bytes).
-roger Henrik Bengtsson wrote:
Hi,
this relates to the question "How to set a former environment?" asked
yesterday. What is the best way to to return a function with a
minimal environment from a function? Here is a dummy example:
foo <- function(huge) {
scale <- mean(huge)
function(x) { scale * x }
}
fcn <- foo(1:10e5)
The problem with this approach is that the environment of 'fcn' does
not only hold 'scale' but also the memory consuming object 'huge',
i.e.
env <- environment(fcn)
ll(envir=env) # ll() from R.oo
# member data.class dimension object.size
# 1 huge numeric 1000000 4000028
# 2 scale numeric 1 36
save(env, file="temp.RData")
file.info("temp.RData")$size
# [1] 2007624
I generate quite a few of these and my 'huge' objects are of order
100Mb, and I want to keep memory usage as well as file sizes to a
minimum. What I do now, is to remove variable from the local
environment of 'foo' before returning, i.e.
foo2 <- function(huge) {
scale <- mean(huge)
rm(huge)
function(x) { scale * x }
}
fcn <- foo2(1:10e5)
env <- environment(fcn)
ll(envir=env)
# member data.class dimension object.size
# 1 scale numeric 1 36
save(env, file="temp.RData")
file.info("temp.RData")$size
# [1] 156
Since my "foo" functions are complicated and contains many local
variables, it becomes tedious to identify and remove all of them, so
instead I try:
foo3 <- function(huge) {
scale <- mean(huge);
env <- new.env();
assign("scale", scale, envir=env);
bar <- function(x) { scale * x };
environment(bar) <- env;
bar;
}
fcn <- foo3(1:10e5)
But,
env <- environment(fcn)
save(env, file="temp.RData");
file.info("temp.RData")$size
# [1] 2007720
When I try to set the parent environment of 'env' to emptyenv(), it
does not work, e.g.
fcn(2)
# Error in fcn(2) : attempt to apply non-function
but with the new.env(parent=baseenv()) it works fine. The "base"
environment has the empty environment as a parent. So, I try to do
the same myself, i.e. new.env(parent=new.env(parent=emptyenv())), but
once again I get
fcn(2)
# Error in fcn(2) : attempt to apply non-function
Apparently, I do not understand enough here. Please, enlighten me. In
the meantime I stick with foo2().
Best,
Henrik
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Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595