docs: mention SGE support (#2756)

* docs: mention the current brand name for UGE/SGE

* docs: mention SGE support

doc/source/user_guide/launching_ansys_fluent.rst

@@ -105,8 +105,8 @@ Scheduler support
 When PyFluent is run within a job scheduler environment, the :func:`launch_fluent()
 <ansys.fluent.core.launcher.launcher.launch_fluent>` method automatically determines
 the list of machines and core counts to start Fluent with. The supported
-scheduler environments are Univa Grid Engine (UGE), Load Sharing Facility (LSF),
-Portable Batch System (PBS), and Slurm.
+scheduler environments are Altair Grid Engine (formerly UGE), Sun Grid Engine (SGE),
+Load Sharing Facility (LSF), Portable Batch System (PBS), and Slurm.
 
 This example shows a bash shell script that can be submitted to a Slurm
 scheduler using the ``sbatch`` command:

src/ansys/fluent/core/fluent_connection.py

@@ -369,6 +369,7 @@ def __init__(
         )
         # At this point, the server must be running. If the following check_health()
         # throws, we should not proceed.
+        # TODO: Show user-friendly error message.
         self.health_check.check_health()
 
         self._slurm_job_id = slurm_job_id