Infer the total number of workers planned out after the future::plan() call?

[ramiromagno]

Currently I have a code pattern like so:

workers <- c(rep("rey", times = 64L), rep("r2d2", times = 40L))
future::plan(future::cluster, workers = workers, homogeneous = FALSE)
...
daeqtl_mapping2(snp_pairs = snp_pairs2, zygosity = zygosity, ae = ae, .n_cores = 64 + 40)

where daeqtl_mapping2() uses future.apply::future_lapply() for parallelization.

I use the parameter .n_cores to instruct daeqtl_mapping2() how many chunks should the to-be-iterated data table be partitioned.

Isn't the number of workers, i.e. the 64 + 40 = 104 workers set at the future::plan() call, accessible in some way that I could use inside daeqtl_mapping2() without having to pass this information as an argument?

[HenrikBengtsson]

Have a look at https://future.futureverse.org/reference/index.html

[ramiromagno]

I appreciate the subtle reference :) I did see nbrOfWorkers() (if that is what you're hinting at) and I had tried that but it was not returning the 104 workers I expected, so I thought my understanding of this function was off. I will look again into it.

[ramiromagno]

I swear I had tried it before and it was not giving the expected number of workers according to the plan... but it is now :)

Thank you so much for your patience with such a pestering user.