Fixes/into v1.0 release (#1093)

* remove unneeded symlinks leftover from theme experiments

* organize rst_formatting_guidelines

* replace most references to funcX with Globus Compute

docs/advanced_installation.rst

@@ -181,7 +181,7 @@ The following packages may be installed separately to enable additional features
 .. _Balsam: https://balsam.readthedocs.io/en/latest/
 .. _conda-forge: https://conda-forge.org/
 .. _Conda: https://docs.conda.io/en/latest/
-.. _Globus Compute: https://funcx.readthedocs.io/en/latest/
+.. _Globus Compute: https://www.globus.org/compute
 .. _GitHub: https://github.com/Libensemble/libensemble
 .. _MPICH: https://www.mpich.org/
 .. _NumPy: http://www.numpy.org

docs/introduction_latex.rst

@@ -1,6 +1,5 @@
 .. include:: introduction.rst
 
-.. _across: https://libensemble.readthedocs.io/en/develop/platforms/platforms_index.html#funcx-remote-user-functions
 .. _APOSMM: https://link.springer.com/article/10.1007/s12532-017-0131-4
 .. _AWA: https://link.springer.com/article/10.1007/s12532-017-0131-4
 .. _Balsam: https://balsam.readthedocs.io/en/latest/
@@ -14,7 +13,6 @@
 .. _DFO-LS: https://github.com/numericalalgorithmsgroup/dfols
 .. _ECNoise: https://www.mcs.anl.gov/~wild/cnoise/
 .. _example user scripts: https://libensemble.readthedocs.io/en/main/examples/examples_index.html
-.. _funcX: https://funcx.org/
 .. _GitHub: https://github.com/Libensemble/libensemble
 .. _GitHub Actions: https://github.com/Libensemble/libensemble/actions
 .. _IPAC manuscript: https://doi.org/10.18429/JACoW-ICAP2018-SAPAF03

docs/platforms/platforms_index.rst

@@ -144,15 +144,15 @@ libE_specs option.
 When using the MPI Executor, it is possible to override the detected information using the
 `custom_info` argument. See the :doc:`MPI Executor<../executor/mpi_executor>` for more.
 
-.. _funcx_ref:
+.. _globus_compute_ref:
 
 Globus Compute - Remote User Functions
 --------------------------------------
 
 *Alternatively to much of the above*, if libEnsemble is running on some resource with
 internet access (laptops, login nodes, other servers, etc.), workers can be instructed to
 launch generator or simulator user function instances to separate resources from
-themselves via `Globus Compute`_, a distributed, high-performance function-as-a-service platform:
+themselves via `Globus Compute`_ (formerly funcX), a distributed, high-performance function-as-a-service platform:
 
     .. image:: ../images/funcxmodel.png
         :alt: running_with_globus_compute
@@ -196,7 +196,7 @@ argument. For example::
         globus_compute_endpoint = "3af6dc24-3f27-4c49-8d11-e301ade15353",
     )
 
-See the ``libensemble/tests/scaling_tests/funcx_forces`` directory for a complete
+See the ``libensemble/tests/scaling_tests/globus_compute_forces`` directory for a complete
 remote-simulation example.
 
 Instructions for Specific Platforms

docs/running_libE.rst

@@ -100,7 +100,7 @@ The default is ``mpi``.
         Set ``comms`` to ``ssh`` to launch workers on remote ssh-accessible systems. This
         colocates workers, functions, and any applications. User
         functions can also be persistent, unlike when launching remote functions via
-        :ref:`Globus Compute<funcx_ref>`.
+        :ref:`Globus Compute<globus_compute_ref>`.
 
         The remote working directory and Python need to be specified. This may resemble::
 

libensemble/tests/scaling_tests/forces/funcx_forces/globus_compute_forces.yaml → libensemble/tests/scaling_tests/forces/globus_compute_forces/globus_compute_forces.yaml

@@ -6,7 +6,7 @@ exit_criteria:
     sim_max: 8
 
 sim_specs:
-    sim_f: libensemble.tests.scaling_tests.forces.funcx_forces.forces_simf.run_forces_globus_compute
+    sim_f: libensemble.tests.scaling_tests.forces.globus_compute_forces.forces_simf.run_forces_globus_compute
     inputs:
         - x
     outputs:

libensemble/tests/scaling_tests/forces/funcx_forces/readme.md → libensemble/tests/scaling_tests/forces/globus_compute_forces/readme.md

@@ -18,25 +18,20 @@ See below.
 
 ### Running with libEnsemble.
 
-On the remote machine:
-
-    pip install funcx-endpoint
-    funcx-endpoint configure forces
-
-Configure the endpoint's `config.py` to include your project information and
+On the remote machine, Configure the endpoint's `config.py` to include your project information and
 match the machine's specifications.
 See [here](https://funcx.readthedocs.io/en/latest/endpoints.html#theta-alcf) for
 an example ALCF Theta configuration.
 
 Then to run with local comms (multiprocessing) with one manager and `N` workers:
 
-    python run_libe_forces_funcx.py --comms local --nworkers N
+    python run_libe_forces_globus_compute.py --comms local --nworkers N
 
 To run with MPI comms using one manager and `N-1` workers:
 
-    mpirun -np N python run_libe_forces.py
+    mpirun -np N python run_libe_forces_globus_compute.py
 
-Application parameters can be adjusted in `funcx_forces.yaml`.
+Application parameters can be adjusted in `globus_compute_forces.yaml`.
 
 Note that each function and path must be accessible and/or importable on the
 remote machine. Absolute paths are recommended.