Fix a handful of Task Vine docstring issues (#3736)

## Type of change

- Update to human readable text: Documentation/error messages/comments

docs/reference.rst

@@ -32,6 +32,8 @@ Configuration
     parsl.addresses.address_by_interface
     parsl.addresses.address_by_query
     parsl.addresses.address_by_route
+    parsl.addresses.get_all_addresses
+    parsl.addresses.get_any_address
     parsl.utils.get_all_checkpoints
     parsl.utils.get_last_checkpoint
 
@@ -193,3 +195,13 @@ Internal
     parsl.jobs.job_status_poller.JobStatusPoller
     parsl.jobs.strategy.Strategy
     parsl.utils.Timer
+
+Task Vine configuration
+=======================
+
+.. autosummary::
+    :toctree: stubs
+    :nosignatures:
+
+    parsl.executors.taskvine.TaskVineManagerConfig
+    parsl.executors.taskvine.TaskVineFactoryConfig

parsl/executors/taskvine/factory_config.py

@@ -32,7 +32,7 @@ class TaskVineFactoryConfig:
 
     worker_options: Optional[str]
         Additional options to pass to workers. Run
-        `vine_worker --help` for more details.
+        ``vine_worker --help`` for more details.
         Default is None.
 
     worker_executable: str

parsl/executors/taskvine/manager_config.py

@@ -24,7 +24,7 @@ class TaskVineManagerConfig:
 
     address: Optional[str]
         Address of the local machine.
-        If None, socket.gethostname() will be used to determine the address.
+        If None, :py:func:`parsl.addresses.get_any_address` will be used to determine the address.
 
     project_name: Optional[str]
         If given, TaskVine will periodically report its status and performance
@@ -56,7 +56,7 @@ class TaskVineManagerConfig:
         environment name is given, TaskVine will package the conda
         environment in a tarball and send it along with tasks to be
         executed in a replicated conda environment.
-        If a tarball of packages (*.tar.gz) is given, TaskVine
+        If a tarball of packages (``*.tar.gz``) is given, TaskVine
         skips the packaging step and sends the tarball along with
         tasks to be executed in a replicated conda environment.