mpi4py.futures doesn't work with FEniCS

I am trying to use an MPIPoolExecutor like:

# I did:
# conda create -n mpi_fenics fenics mpi4py
# source activate mpi_fenics
# mpiexec -n 2 python -m mpi4py.futures test.py

import os
from mpi4py.futures import MPIPoolExecutor

os.environ['OMP_NUM_THREADS'] = '1'

def f():
    import fenics
    mesh = fenics.Mesh()
    return 1

if __name__ == "__main__":  # ← use this, see warning @ <https://bit.ly/2HAk0GG>
    ex = MPIPoolExecutor()
    fut = ex.submit(f)
    result = fut.result()
    print(result)

This will be stuck forever, I am not sure what is happening. The CPU usage is 100% forever too.

My conda list:

(mpi_fenics) x86_64-conda_cos6-linux-gnu   ➜  ~  conda list --export
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
binutils_impl_linux-64=2.31.1=h6176602_1
binutils_linux-64=2.31.1=h6176602_7
boost-cpp=1.70.0=ha2d47e9_0
bzip2=1.0.6=h14c3975_1002
ca-certificates=2019.3.9=hecc5488_0
certifi=2019.3.9=py37_0
cmake=3.14.5=hf94ab9c_0
curl=7.64.1=hf8cf82a_0
eigen=3.3.7=h6bb024c_1000
expat=2.2.5=hf484d3e_1002
fastcache=1.1.0=py37h516909a_0
fenics=2019.1.0=py37_2
fenics-dijitso=2019.1.0=py_2
fenics-dolfin=2019.1.0=py37h80b64ce_2
fenics-ffc=2019.1.0=py_2
fenics-fiat=2019.1.0=py_2
fenics-libdolfin=2019.1.0=h9041177_2
fenics-ufl=2019.1.0=py_2
gcc_impl_linux-64=7.3.0=habb00fd_1
gcc_linux-64=7.3.0=h553295d_7
gmp=6.1.2=hf484d3e_1000
gmpy2=2.0.8=py37hb20f59a_1002
gxx_impl_linux-64=7.3.0=hdf63c60_1
gxx_linux-64=7.3.0=h553295d_7
hdf5=1.10.4=mpi_mpich_ha7d0aea_1006
hypre=2.15.1=hc98498a_1001
icu=58.2=hf484d3e_1000
krb5=1.16.3=h05b26f9_1001
libblas=3.8.0=7_openblas
libcblas=3.8.0=7_openblas
libcurl=7.64.1=hda55be3_0
libedit=3.1.20170329=hf8c457e_1001
libffi=3.2.1=he1b5a44_1006
libgcc-ng=9.1.0=hdf63c60_0
libgfortran-ng=7.3.0=hdf63c60_0
liblapack=3.8.0=7_openblas
libssh2=1.8.2=h22169c7_2
libstdcxx-ng=9.1.0=hdf63c60_0
libuv=1.29.1=h516909a_0
metis=5.1.0=hf484d3e_1003
mpc=1.1.0=hb20f59a_1006
mpfr=4.0.2=ha14ba45_0
mpi=1.0=mpich
mpi4py=3.0.1=py37hf046da1_0
mpich=3.2.1=hc99cbb1_1010
mpmath=1.1.0=py_0
mumps-include=5.1.2=1007
mumps-mpi=5.1.2=h5bebb2f_1007
ncurses=6.1=hf484d3e_1002
numpy=1.15.4=py37h8b7e671_1002
openblas=0.3.5=h9ac9557_1001
openssl=1.1.1b=h14c3975_1
parmetis=4.0.3=hb1a587f_1002
petsc=3.11.1=h624fa55_1
petsc4py=3.11.0=py37h906564f_0
pip=19.1.1=py37_0
pkg-config=0.29.2=h14c3975_1005
pkgconfig=1.3.1=py37_1001
ptscotch=6.0.6=h5a4526e_1002
pybind11=2.2.4=py37hc9558a2_1001
python=3.7.3=h5b0a415_0
readline=7.0=hf8c457e_1001
rhash=1.3.6=h14c3975_1001
scalapack=2.0.2=h2831592_1005
scotch=6.0.6=h491eb26_1002
setuptools=41.0.1=py37_0
six=1.12.0=py37_1000
slepc=3.11.1=h00d104f_0
slepc4py=3.11.0=py37hce3d510_0
sqlite=3.28.0=h8b20d00_0
suitesparse=4.5.6=heab0a99_1202
sympy=1.4=py37_0
tbb=2019.7=hc9558a2_0
tk=8.6.9=hed695b0_1002
wheel=0.33.4=py37_0
xz=5.2.4=h14c3975_1001
zlib=1.2.11=h14c3975_1004

I’ve also asked this here. I am sorry if I opened an issue in the incorrect repo, I am not extremely familiar with the ecosystem.

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