[petsc-users] Issue with single precision complex numbers in petsc4py

[Matthew Knepley]

Lisandro,

PETSc is compiled for single. Does petsc4py respect this, or does it always
use double for getArray() and friends?

  Thanks,

     Matt

On Thu, Oct 13, 2022 at 11:42 AM Peng Sun <psun at outlook.com> wrote:

> Hi Matt,
>
> Sure, please see the attached configure.log file.  Thanks!
>
> Best regards,
> Peng Sun
>
>
> ------------------------------
> *From:* Matthew Knepley <knepley at gmail.com>
> *Sent:* Thursday, October 13, 2022 6:34 AM
> *To:* Peng Sun <psun at outlook.com>
> *Cc:* petsc-users at mcs.anl.gov <petsc-users at mcs.anl.gov>
> *Subject:* Re: [petsc-users] Issue with single precision complex numbers
> in petsc4py
>
> First send configure.log so we can see the setup.
>
>   Thanks,
>
>       Matt
>
> On Thu, Oct 13, 2022 at 12:53 AM Peng Sun <psun at outlook.com> wrote:
>
> Dear PETSc community,
>
>
> I have a question regarding the single precision complex numbers of
> petsc4py.  I configured PETSc with the “--with-scalar-type=complex
> --with-precision=single" option before compiling, but all the DA structures
> I created with petsc4py had double precision.
>
>
> Here is a minimum test code on Python 3.8/PETSc 3.12/petsc4py 3.12: both
> print commands show data type of complex128.  Could anybody please help
> me?  Thanks!
>
>
> import petsc4pyimport sys
> petsc4py.init(sys.argv)from petsc4py import PETSc
>
> da=PETSc.DA().create(sizes=[2,2,2],dof=1,stencil_type=0,stencil_width=1,boundary_type=1)
> da_1 = da.createGlobalVec()print(petsc4py.PETSc.ComplexType)print(da_1.getArray().dtype)
>
>
>
>
> Best regards,
>
> Peng Sun
>
>
>
> --
> What most experimenters take for granted before they begin their
> experiments is infinitely more interesting than any results to which their
> experiments lead.
> -- Norbert Wiener
>
> https://www.cse.buffalo.edu/~knepley/
> <http://www.cse.buffalo.edu/~knepley/>
>


-- 
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener

https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
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