On the issue of pyFluent suddenly stopping in Linux environments.

Isao Arimoto
Isao Arimoto Member, Employee Posts: 3
First Comment

Our customer faced one problem that pyFluent on Linux stopped suddenly.
But they can finish same data on Windows.
They checked followinfgs;
- AMD and Intel CPU & Intel-MPI(2012&2018)-> same
- 1 core and multi-cores -> same
- Checking with Top, the status is "S". (usually R).
I have no idea what is causing this and would like advice on where to start.
Could anyone advise me?

Their environment of Linux;

  • [***1 PyF_Test]$ cat /etc/os-release
  • NAME="Red Hat Enterprise Linux"
  • VERSION="9.0 (Plow)"
  • ID="rhel"
  • ID_LIKE="fedora"
  • VERSION_ID="9.0"
  • PLATFORM_ID="platform:el9"
  • PRETTY_NAME="Red Hat Enterprise Linux 9.0 (Plow)"
  • ANSI_COLOR="0;31"
  • LOGO="fedora-logo-icon"
  • CPE_NAME="cpe:/o:redhat:enterprise_linux:9::baseos"
  • HOME_URL="https://www.redhat.com/"
  • DOCUMENTATION_URL="https://access.redhat.com/documentation/red_hat_enterprise_linux/9/"
  • BUG_REPORT_URL="https://bugzilla.redhat.com/"
  • REDHAT_BUGZILLA_PRODUCT="Red Hat Enterprise Linux 9"
  • REDHAT_BUGZILLA_PRODUCT_VERSION=9.0
  • REDHAT_SUPPORT_PRODUCT="Red Hat Enterprise Linux"
  • REDHAT_SUPPORT_PRODUCT_VERSION="9.0"

Their installed pyAnsys packages;* [*** PyF_Test]$ /home/t130044/python/python3918_2/bin/python3.9 -V

  • Python 3.9.18
  • [*** PyF_Test]$ /home/t130044/python/python3918_2/bin/pip3.9 list
  • Package Version
  • ------------------------------------- ------------
  • ansys-api-fluent 0.3.18
  • ansys-api-platform-instancemanagement 1.0.0
  • ansys-fluent-core 0.17.1
  • ansys-fluent-parametric 0.8.1
  • ansys-platform-instancemanagement 1.1.2
  • certifi 2023.11.17
  • charset-normalizer 3.3.2
  • docker 6.1.3
  • grpcio 1.59.3
  • grpcio-health-checking 1.48.2
  • h5py 3.10.0
  • idna 3.4
  • importlib-metadata 6.8.0
  • lxml 4.9.3
  • numpy 1.26.2
  • packaging 23.2
  • pandas 2.1.3
  • pip 23.3.1
  • platformdirs 4.0.0
  • protobuf 3.20.3
  • psutil 5.9.6
  • PySocks 1.7.1
  • python-dateutil 2.8.2
  • pytz 2023.3.post1
  • PyYAML 6.0.1
  • requests 2.31.0
  • setuptools 58.1.0
  • six 1.16.0
  • tzdata 2023.3
  • urllib3 2.1.0
  • websocket-client 1.6.4
  • zipp 3.17.0

Answers