PyFluent safe mode

This is related to #4615, but has broader applicability.

Provide users with an option to use PyFluent in safe mode. This option would be provided at the launch step, but it should also be possible to activate and deactive for a live session. Its effect would be that the client code checks prerequisites exhaustively with the aim of isolating exceptions on the client-side as much as possible, thereby minimising harmful Fluent runtime errors. Examples of checks:
- Do parameter values violate imposed limits (min, max, allowed_values)?
- Is the object active?
- Is the object read-only?

Start by tracing the launch step and live-session APIs described in the issue, then identify where client-side parameter, object-active, and read-only checks can be coordinated. Done means users can enable safe mode at launch and activate or deactivate it during a live session, with the listed prerequisite checks limiting harmful Fluent runtime errors.

Written by the indexing model from the issue text.