Installation issue

[HerambMahajan]

During running './update_and_rebuild_libmesh.sh' during installation, I get following error:

---

----- Configuring for optional packages -----

...
note: Checking /lib and /include for MPI
note: Could not find /lib/libmpi(.a/.so/.dylib)
mpicxx -std=gnu++17 Compiler Supports MPI
configure: error: *** PETSc was not found, but --enable-petsc-required was specified.
Running make -j 1...
make: *** No targets specified and no makefile found. Stop.

---

I am not sure, how to resolve this issue. Any suggestions?

[bwspenc]

This sounds like something you would get if you haven't installed the dependencies that are needed for a MOOSE build. If you haven't done so, install conda and the MOOSE environment packages using these instructions:
https://mooseframework.inl.gov/getting_started/installation/conda.html
If you've already done that, then we need to dig deeper.

[bwspenc]

@HerambMahajan Did you get it working?

[HerambMahajan]

No. I ran make clobber in Blackbear but during rebuilding, I got fetal error:

x86_64-conda-linux-gnu-c++: fatal error: Killed signal terminated program cc1plus
compilation terminated.

[dschwen]

That usually means the compiler ran out of memory. Try make or use a lower number with the -j parameter.

[HerambMahajan]

The test 'test:neml_regression.pycache' failed. The error details are:

*** ERROR ***
test:neml_regression.pycache: Unable to open file "/projects/blackbear/test/tests/neml_regression/../../../contrib/neml/test/test_regression/pycache/data.csv". Check to make sure that it exists and that you have read permission.

I checked this file location, and there is no csv file.

Update =====
Even though this test failed, the neml_simple/le_stress.i example ran successfully. So, I think the NEMLStress command is working.

[bwspenc]

Those tests look in the directory where neml is to compare the solution from running with BlackBear directly with the neml standalone solutions. That sounds like what would happen if you didn't have the neml submodule initialized. I'm not sure how that model with neml would work in that case.