Future.randjump and accumulate?

General Usage
1

I am getting the following warning with nightly:

 Warning: `randjump(rng, steps::Integer, len::Integer` is deprecated; use `Future.randjump` and `accumulate` instead

The only Future I could find is Distributed.Future, which is a DataType.

The warnings were initially complaining about randjump(rng, n*(gpt+1)) saying to use Random.randjump(rng, big(10)^20, n*(gpt+1)) instead which, when I did, gave the above warning. Any clues or pointer to relevant docs?

2

My version of master appears to have it:

julia> VERSION
v"0.7.0-beta.214"

julia> using Future

help?> Future.randjump
  randjump(r::MersenneTwister, steps::Integer) -> MersenneTwister

Create an initialized MersenneTwister object, whose state is moved forward (without generating numbers) from r by steps steps. One such step corresponds to the generation of
two Float64 numbers. For each different value of steps, a large polynomial has to be generated internally. One is already pre-computed for steps=big(10)^20.
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3

Found it, it was masked by “an existing identifier”, this single most annoying error when forgetting to import some stdlib package and having to restart REPL to find it. Thanks.

4

For the record, this is how I managed to replicate the default behavior of the old randjump:

oldrandjump(mt, len) = accumulate(Future.randjump, [0; [big(10)^20 for i in 1:len-1]], init = mt)

 oldrandjump(mt, len) = [mt; accumulate(Future.randjump, [big(10)^20 for i in 1:len-1], init = mt)]

I am not sure if there is a more obvious way, as this one uses the non-obvious behavior of accumulate with a function taking 2 arguments of different types.

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5

This is not exactly correct. Old randjump returned source object as a first element of an array. Your function returns a copy. So actually you should prepend mt to a generated sequence without adding 0 element inside.

Actually you have an example of this in the Julia Manual in the last example of this section https://docs.julialang.org/en/latest/manual/parallel-computing/#The-@threads-Macro-1.

2 Likes
6

Corrected and thanks for the pointer.

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