Hi Hong, Thanks for the advice. I could not install petsc4py with the --with-petsc4py=1 option, which gave me an "No rule to make target 'petsc4py-install'" error when I ran "make install". That was why I needed to install petsc4py separately after the PETSc was installed. Best regards, Peng Sun ________________________________ From: Zhang, Hong <[email protected]> Sent: Thursday, October 13, 2022 4:30 PM To: Peng Sun <[email protected]> Cc: [email protected] <[email protected]> Subject: Re: [petsc-users] Issue with single precision complex numbers in petsc4py It seems that you installed petsc4py separately. I would suggest to add the configure option --with-petsc4py=1 and follow the instructions to set PYTHONPATH before using petsc4py. Hong (Mr.)
On Oct 13, 2022, at 10:42 AM, Peng Sun <[email protected]> wrote:
Hi Matt,
Sure, please see the attached configure.log file. Thanks!
Best regards, Peng Sun
From: Matthew Knepley <[email protected]> Sent: Thursday, October 13, 2022 6:34 AM To: Peng Sun <[email protected]> Cc: [email protected] <[email protected]> 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 <[email protected]> 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 petsc4py
import 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/ <configure.log>