load the probability distribution from arr into this we only use this in the sampler array, but fortran has no friend classes, so its public want to use for sampling
| Type | Intent | Optional | Attributes | Name | ||
|---|---|---|---|---|---|---|
| class(AliasSampler_t), | intent(inout) | :: | this | |||
| integer, | intent(in) | :: | rank_with_info |
The intra-node rank that contains the weights to be used all other arr of all other ranks are ignored (and can be allocated with size 0). |
||
| real(kind=dp), | intent(in) | :: | arr(:) |
subroutine init_AliasSampler_t(this, rank_with_info, arr) class(AliasSampler_t), intent(inout) :: this integer, intent(in) :: rank_with_info !! The **intra-node** rank that contains the weights to be used !! all other arr of all other ranks are ignored (and can be allocated with size 0). real(dp), intent(in) :: arr(:) block logical :: early_return(1) integer :: ierr early_return = near_zero(sum(arr)) call MPI_Bcast(early_return, size(early_return, kind=MPIArg), MPI_LOGICAL, rank_with_info, mpi_comm_intra, ierr) if (early_return(1)) then ! if we reach this point, probs is uninitialized -> null it this%probs%ptr => null() return end if end block ! load the data - assume this is pre-allocated call this%table%init(rank_with_info, arr) call this%init_probs(rank_with_info, arr) end subroutine init_AliasSampler_t