amitm:/tmp$ julia -p 2 -e "@everywhere include(\"module.jl\")"
Warning: requiring "DataStructures" did not define a corresponding module.
Warning: requiring "DataStructures" did not define a corresponding module.

amitm:/tmp$ julia -p 2 -e "require(\"module.jl\")"

Only the include is throwing up the warning, require seems to be fine....




On Wed, Jan 22, 2014 at 11:41 AM, Amit Murthy <[email protected]> wrote:

> I just did a 'Pkg.add("DataStructures")' and tried the above code. Seeing
> the same issue.
>
>
> On Wed, Jan 22, 2014 at 11:38 AM, Jeff Bezanson 
> <[email protected]>wrote:
>
>> This ought to work. The warning is interesting, since the
>> DataStructures package does (for me at least) define a DataStructures
>> module. Is it possible DataStructures is not fully installed, missing
>> files or something like that?
>>
>>
>> On Wed, Jan 22, 2014 at 1:01 AM, Madeleine Udell
>> <[email protected]> wrote:
>> > I'm trying to understand the most Julian way to perform a particular
>> > parallel programming task. Suppose I need function foo from module.jl
>> to be
>> > available everywhere. Let's call the following code map_foo.jl:
>> >
>> > @everywhere include("module.jl")
>> > @everywhere using MyModule
>> > pmap(foo,1:100)
>> >
>> > That works fine, except when module.jl itself has other dependencies on
>> > other modules:
>> >
>> > module MyModule
>> >
>> > using DataStructures
>> > export foo
>> >
>> > function foo(i)
>> > return Queue(i)
>> > end
>> >
>> > end # module
>> >
>> > In this case, it works to call
>> >
>> > julia map_foo.jl
>> >
>> > but when I call
>> >
>> > julia -p 2 map_foo.jl
>> >
>> > I get the following error
>> >
>> > Warning: requiring "DataStructures" did not define a corresponding
>> module.
>> > Warning: requiring "DataStructures" did not define a corresponding
>> module.
>> > exception on exception on 2: 3: ERROR: ERROR: Queue not definedQueue not
>> > defined
>> >  in
>> >  in foo at /Users/madeleineudell/Dropbox/pestilli_icme_life
>> > (1)/src/julia/questions/module.jl:7
>> >  in anonymous at multi.jl:834
>> >  in run_work_thunk at multi.jl:575
>> >  in anonymous at task.jl:834
>> > foo at /Users/madeleineudell/Dropbox/pestilli_icme_life
>> > (1)/src/julia/questions/module.jl:7
>> >  in anonymous at multi.jl:834
>> >  in run_work_thunk at multi.jl:575
>> >  in anonymous at task.jl:834
>> >
>> > Does anyone know how I can successfully chain dependencies like this
>> when
>> > using parallelism? Calling @everywhere on the import call in module.jl
>> also
>> > doesn't fix the problem, strangely enough.
>> >
>> > Of course, if I could put all my code into shared memory, I'd be much
>> > happier. I just saw an update adding shared memory arrays, but I don't
>> know
>> > if there's a way to get shared memory code!
>> >
>>
>
>

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