conda-linux-64.lock

# Generated by conda-lock.
# platform: linux-64
# input_hash: b042bb26c65640e93c4d906e171d5e3b4aaaec092c82778af41f9be2340574a5
@EXPLICIT
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# Generated by conda-lock.
# platform: linux-aarch64
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@EXPLICIT
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https://conda.anaconda.org/conda-forge/osx-64/scotch-6.0.9-h3da7401_2.tar.bz2#201a64c35a3b3ce59b56a33f08c7a70e
https://conda.anaconda.org/conda-forge/osx-64/sigtool-0.1.3-h88f4db0_0.tar.bz2#fbfb84b9de9a6939cb165c02c69b1865
https://conda.anaconda.org/conda-forge/osx-64/krb5-1.21.2-hb884880_0.conda#80505a68783f01dc8d7308c075261b2f
https://conda.anaconda.org/conda-forge/osx-64/ld64_osx-64-609-ha20a434_15.conda#4709e6e1ce59f92f822470e16253bae1
https://conda.anaconda.org/conda-forge/osx-64/libclang-cpp16-16.0.6-default_h762fdd7_1.conda#e398eb00747237c8a68f94e1c0647880
https://conda.anaconda.org/conda-forge/osx-64/libopenblas-0.3.24-openmp_h48a4ad5_0.conda#077718837dd06cf0c3089070108869f6
https://conda.anaconda.org/conda-forge/osx-64/llvm-tools-16.0.6-he4b1e75_2.conda#301727f6047e65138071deccd0d8bafb
https://conda.anaconda.org/conda-forge/osx-64/mpc-1.3.1-h81bd1dd_0.conda#c752c0eb6c250919559172c011e5f65b
https://conda.anaconda.org/conda-forge/osx-64/mpich-4.1.2-hd33e60e_100.conda#3678b5622cbe89184eb9de2cca188c17
https://conda.anaconda.org/conda-forge/osx-64/python-3.10.13-h00d2728_0_cpython.conda#d09fa6ab82a97c95d3a324d79263b980
https://conda.anaconda.org/conda-forge/osx-64/cctools_osx-64-973.0.1-ha1c5b94_15.conda#c9dbe505cd17a5a4a6a787dbceea2dba
https://conda.anaconda.org/conda-forge/osx-64/clang-16-16.0.6-default_h762fdd7_1.conda#5a28ee228f99d7d6d69d9f922b899c51
https://conda.anaconda.org/conda-forge/osx-64/fftw-3.3.10-mpi_mpich_h4a8b384_8.conda#dee20f993f99366c5350a5715aa25680
https://conda.anaconda.org/conda-forge/osx-64/gmpy2-2.1.2-py310hb691cb2_1.tar.bz2#a495ede1fb673f39133b7c2628af7259
https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-19_osx64_openblas.conda#e932b99c38915fa2ee252cdff6ea1f01
https://conda.anaconda.org/conda-forge/osx-64/libcurl-8.4.0-h726d00d_0.conda#2c17b4dedf0039736951471f493353bd
https://conda.anaconda.org/conda-forge/osx-64/mpi4py-3.1.5-py310h97e25aa_0.conda#bb1437d9f80cdd6d49d52afd6ee24ea8
https://conda.anaconda.org/conda-forge/noarch/mpmath-1.3.0-pyhd8ed1ab_0.conda#dbf6e2d89137da32fa6670f3bffc024e
https://conda.anaconda.org/conda-forge/osx-64/parmetis-4.0.3-hb7fa8f8_1005.tar.bz2#93c34a9e24211ed262743444fd187f4d
https://conda.anaconda.org/conda-forge/noarch/pkgconfig-1.5.5-pyhd8ed1ab_4.tar.bz2#8b714fcb673b50d8a8e4094b6bf80ed6
https://conda.anaconda.org/conda-forge/osx-64/ptscotch-6.0.9-h4f3afa6_2.tar.bz2#fad5880e9a67a2254babb5d77e63005f
https://conda.anaconda.org/conda-forge/osx-64/pybind11-global-2.11.1-py310h88cfcbd_2.conda#2e158685f95ad4661f98e25d789fbd47
https://conda.anaconda.org/conda-forge/noarch/setuptools-68.2.2-pyhd8ed1ab_0.conda#fc2166155db840c634a1291a5c35a709
https://conda.anaconda.org/conda-forge/noarch/six-1.16.0-pyh6c4a22f_0.tar.bz2#e5f25f8dbc060e9a8d912e432202afc2
https://conda.anaconda.org/conda-forge/osx-64/clang-16.0.6-hc177806_1.conda#5dbc51bad84769384bebd1c2db8706a0
https://conda.anaconda.org/conda-forge/osx-64/cmake-3.27.6-hf40c264_0.conda#771da6a52aaf0f9d84114d0ed0d0299f
https://conda.anaconda.org/conda-forge/osx-64/hdf5-1.14.2-mpi_mpich_h3618df7_0.conda#d3604d31a3d35682adfa8f24cb283165
https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-19_osx64_openblas.conda#40e412c219ad8cf87ba664466071bcf6
https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-19_osx64_openblas.conda#2e714df18db99ee6d7b4ac728f53ca62
https://conda.anaconda.org/conda-forge/osx-64/pybind11-2.11.1-py310h88cfcbd_2.conda#d2de1b52edc2134e4e881ed0cb14d361
https://conda.anaconda.org/conda-forge/noarch/sympy-1.12-pypyh9d50eac_103.conda#2f7d6347d7acf6edf1ac7f2189f44c8f
https://conda.anaconda.org/conda-forge/osx-64/clangxx-16.0.6-default_h762fdd7_1.conda#045821d0728819cb66bada9fa54c7eb7
https://conda.anaconda.org/conda-forge/osx-64/hypre-2.28.0-mpi_mpich_h5eb2ec2_0.conda#386f4feaed1ccae0bbb6681659da5300
https://conda.anaconda.org/conda-forge/osx-64/numpy-1.26.0-py310h0171094_0.conda#d58ec8238a040c4cfedbc6b1afbb9d56
https://conda.anaconda.org/conda-forge/osx-64/scalapack-2.2.0-hc746714_1.tar.bz2#8287ee9620ffd1cba4fa3e2230652d5e
https://conda.anaconda.org/conda-forge/osx-64/suitesparse-5.10.1-h7aff33d_1.tar.bz2#d30185298e8ba70c8bc17121f837730d
https://conda.anaconda.org/conda-forge/osx-64/superlu-5.2.2-h1f0f902_0.tar.bz2#415a218b750ec31760d6a530d11dc98d
https://conda.anaconda.org/conda-forge/osx-64/superlu_dist-7.2.0-h4bb6bf2_0.tar.bz2#f5937bfa7727627ff7446791a25edf16
https://conda.anaconda.org/conda-forge/noarch/compiler-rt_osx-64-16.0.6-he1888fc_1.conda#92e7cff913f988ec98eebfbd2e8d6598
https://conda.anaconda.org/conda-forge/osx-64/fenics-dijitso-2019.1.0-py310h2ec42d9_38.conda#97839aedab6aa62d2af0b6917ea6f81c
https://conda.anaconda.org/conda-forge/osx-64/fenics-fiat-2019.1.0-py310h2ec42d9_38.conda#3fa75262e6851e8ad910cfd07c1da76e
https://conda.anaconda.org/conda-forge/osx-64/fenics-ufl-2019.1.0-py310h2ec42d9_38.conda#d21809ddf88b8a3a46fe262c626a5263
https://conda.anaconda.org/conda-forge/osx-64/mumps-mpi-5.2.1-h690e093_11.tar.bz2#64fcc5df660d6d866c5d5799f1d0af58
https://conda.anaconda.org/conda-forge/osx-64/compiler-rt-16.0.6-he1888fc_1.conda#8d3dd84e7478565bccf6204244a614d0
https://conda.anaconda.org/conda-forge/osx-64/fenics-ffc-2019.1.0-py310h2ec42d9_38.conda#f9ea10ef931e06d1756191e0d563eadb
https://conda.anaconda.org/conda-forge/osx-64/petsc-3.20.1-real_h4e83fda_100.conda#ce1d88898b688670432d41c6b164e160
https://conda.anaconda.org/conda-forge/osx-64/clang_impl_osx-64-16.0.6-h8787910_6.conda#878ac85d82296525ee4684a70783912a
https://conda.anaconda.org/conda-forge/osx-64/petsc4py-3.20.1-real_h012e950_100.conda#cde44aa369f2002d28e604a305c5ac54
https://conda.anaconda.org/conda-forge/osx-64/slepc-3.20.0-real_h1d59d1f_100.conda#4c5ff2bfb50026287477feb080ae9f5c
https://conda.anaconda.org/conda-forge/osx-64/clang_osx-64-16.0.6-hb91bd55_6.conda#6b39c2b8566c12a838dde6c1d401d7f4
https://conda.anaconda.org/conda-forge/osx-64/fenics-libdolfin-2019.1.0-h3bad251_42.conda#dd757af39d978d006a2ba27e9e064230
https://conda.anaconda.org/conda-forge/osx-64/slepc4py-3.20.0-real_h99e8a61_100.conda#f1057ed23d7049f71ec4d16fc20e98ff
https://conda.anaconda.org/conda-forge/osx-64/clangxx_impl_osx-64-16.0.6-h1b7723c_6.conda#58c76521e83274278e43d49f9ed31377
https://conda.anaconda.org/conda-forge/osx-64/clangxx_osx-64-16.0.6-h2fff7d5_6.conda#e42585e3b359f9fe112cc5016c649624
https://conda.anaconda.org/conda-forge/osx-64/fenics-dolfin-2019.1.0-py310h5f0a818_42.conda#20dfb340ab8b6af142644d63a95e0303
https://conda.anaconda.org/conda-forge/osx-64/fenics-2019.1.0-py310h5b579e5_42.conda#a23bb359febde52d47810ea43c7e5039

Dockerfile

FROM condaforge/miniforge3
# allow native testing on intel or arm
COPY conda-linux-64.lock /tmp/
COPY conda-linux-aarch64.lock /tmp/
RUN \
    PLAT=$(conda info --json | python -c 'import json, sys; print(json.load(sys.stdin)["platform"])') \
 && mamba create --name test --file /tmp/conda-${PLAT}.lock
COPY test.py /tmp/
# run test with mpi
# but it fails the same in serial
ENV PYTHONUNBUFFERED=1
CMD ["conda", "run", "-n", "test", "mpirun", "-n", "2", "python", "/tmp/test.py"]

environment.yml

channels:
  - conda-forge
dependencies:
  - python=3.10
  - petsc=3.20
  - mpich # repro works with openmpi, too
  - fenics

test.py

from mpi4py import MPI
from petsc4py import PETSc

import sys

# other init orders
# from mpi4py import MPI
# import petsc4py
# petsc4py.init()#["-on_error_attach_debugger"])

import dolfin
from dolfin import UnitSquareMesh, FunctionSpace, as_backend_type, PETScDMCollection, SubSystemsManager
dolfin.cpp.log.set_log_level(dolfin.cpp.log.LogLevel.DEBUG)
log = dolfin.cpp.log
# this is dolfin's own init of petsc
# SubSystemsManager.init_petsc()

mesh = UnitSquareMesh(nx=8, ny=8)
V = FunctionSpace(mesh, 'CG', 1)
W = FunctionSpace(mesh, 'CG', 2)

dolfin_mat = as_backend_type(PETScDMCollection.create_transfer_matrix(V, W))
# the petsc4py Mat object
mat = dolfin_mat.mat()
log.info(f"{mat=}, {mat.type=}")
log.info(f"{mat.getInfo()=}")

comm = mat.comm.tompi4py()
log.info(f"{mat.comm=} {comm=} {comm.rank=}")
# make sure comm really works
ranks = comm.allgather(comm.rank)
log.info(f"{ranks=}")
log.info(f"{mat.getLocalSize()=}, {mat.getVecType()=}")
first, last = mat.getOwnershipRange()
log.info(f"{mat.getRow(first)=}")
log.info("createVecs will now fail")
sys.stdout.flush()
# this will fail
log.info(mat.createVecs())