JuliaParallel / JuliaParallel/DistributedArrays.jl
localindices methods in conflict with SharedArrays
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Descripción
It seems like there is a conflict between localindices method between SharedArrays and DistributedArrays. Please, see the REPL output below.
10:46:39 $ julia-1.0
_
_ _ _(_)_ | Documentation: https://docs.julialang.org
(_) | (_) (_) |
_ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 1.0.2 (2018-11-08)
_/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release
|__/ |
julia> using SharedArrays
julia> SharedArrays.
SharedArray include range_1dim shm_unlink
SharedMatrix indexpids sa_refs shmem_fill
SharedVector init_loc_flds sdata shmem_rand
_shm_mmap_array initialize_shared_array shared_pids shmem_randn
eval localindices shm_mmap_array sub_1dim
finalize_refs print_shmem_limits shm_open
julia> using DistributedArrays
WARNING: using DistributedArrays.localindices in module Main conflicts with an existing identifier.
help?> SharedArrays.localindices
localindices(S::SharedArray)
Returns a range describing the "default" indices to be handled by the current process. This range should
be interpreted in the sense of linear indexing, i.e., as a sub-range of 1:length(S). In multi-process
contexts, returns an empty range in the parent process (or any process for which indexpids returns 0).
It's worth emphasizing that localindices exists purely as a convenience, and you can partition work on the
array among workers any way you wish. For a SharedArray, all indices should be equally fast for each
worker process.
help?> DistributedArrays.localindices
localindices(d)
A tuple describing the indices owned by the local process. Returns a tuple with empty ranges if no local
part exists on the calling process.
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Línea de trabajo
Reproduce the warning in the Julia 1.0.2 REPL by loading SharedArrays and DistributedArrays in that order. Compare the exported localindices methods and their documented return shapes, then determine the compatible API behavior and add or update a regression test showing that both packages can be used without an ambiguous identifier.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- julia
- Área
- distributed-systems
- Tipo de issue
- Error
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 35/100