Another day, another question. I'm looking for something Spark's cartesian method on Channels
For example, I might have a channel with all the input files in it, and another channel with a bunch of different algorithm parameter property files in it, and I want to run all input files over all different algorithm parameter property files.
Is it not the same as spread ?
spread takes an array/collection, so I suppose I could use toList on the second channel
yes
and lists of tuples should be fine?
I think so,
but I'd suggest to give a try to it
yeah seems to work fine, thank you, again :)
;)
welcome