fix libensemble tests since they were failing

[shahzebsiddiqui]

@JNavarro @shudson
I noticed the test test_lib_sbatch_forces_perlmutter was failing in https://my.cdash.org/test/110542566 so i tried to fix this. First off we had to change the e4s versions since 22.05 stack was removed so that caused some interesting changes. The second question i had about the GPU test run_forces_gpu_perlmutter.sh, I dont understand why we need PrgEnv-nvidia loaded. The py-libensemble package is built with gcc compiler not nvhpc. Can you please clarify

(buildtest) siddiq90@login02> buildtest it query -o -e test_lib_sbatch_forces_perlmutter test_libe_simple_inplace
──────────────────────────────────────────────────────────────────────────────────── test_libe_simple_inplace/8a17984d-48ce-486f-ad2c-d488c858db59 ────────────────────────────────────────────────────────────────────────────────────
Executor: muller.slurm.regular
Description: run libEnsemble simple script
State: PASS
Returncode: 0
Runtime: 70.49 sec
Starttime: 2023/12/14 08:14:55
Endtime: 2023/12/14 08:16:26
Command: bash test_libe_simple_inplace_build.sh
Test Script: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/test_libe_simple_inplace.sh
Build Script: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/test_libe_simple_inplace_build.sh
Output File: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/test_libe_simple_inplace.out
Error File: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/test_libe_simple_inplace.err
Log File: /global/u1/s/siddiq90/gitrepos/buildtest/var/logs/buildtest_m_c6rqtv.log
─────────────────────────────────── Output File: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/test_libe_simple_inplace.out ───────────────────────────────────

libEnsemble with random sampling has generated enough points

libEnsemble with random sampling has generated enough points

─────────────────────────────────── Error File: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/test_libe_simple_inplace.err ────────────────────────────────────

The following have been reloaded with a version change:
  1) python/3.9-anaconda-2021.11 => python/3.11

/opt/cray/pe/lmod/lmod/init/bash: line 221: conda: command not found

_______________________________________________________________________________________________________
     The Extreme-Scale Scientific Software Stack (E4S) is accessible via the
Spack package manager.

     In order to access the production stack, you will need to load a spack
environment. Here are some tips to get started:


     'spack env list' - List all Spack environments
     'spack env activate gcc' - Activate the "gcc" Spack environment
     'spack env status' - Display the active Spack environment
     'spack load amrex' - Load the "amrex" Spack package into your user
environment

     For additional support, please refer to the following references:

       NERSC E4S Documentation: https://docs.nersc.gov/applications/e4s/
       E4S Documentation: https://e4s.readthedocs.io
       Spack Documentation: https://spack.readthedocs.io/en/latest/
       Spack Slack: https://spackpm.slack.com


______________________________________________________________________________________________________

------------------ Run completed -------------------
Saving results to file: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/stage/1d_sampling_history_length=1000_evals=504_workers=4
------------------ Run completed -------------------
Saving results to file: /global/u1/s/siddiq90/gitrepos/buildtest/var/tests/muller.slurm.regular/libensemble/test_libe_simple_inplace/8a17984d/stage/1d_sampling_history_length=1000_evals=504_workers=4