Improve RichProgreasBar speed performance

[GdoongMathew]

What does this PR do?

Attempt to fix #13937

Benchmark Results are as below

master
    === Benchmark Results ===
    Version      No Rich (s)    With Rich (s)
    ---------  -------------  ---------------
    2.6.0.dev          7.945           13.089

master auto-refresh enabled, 33 updates / second
    === Benchmark Results ===
    Version      No Rich (s)    With Rich (s)
    ---------  -------------  ---------------
    2.6.0.dev          7.605             7.09

this branch
    === Benchmark Results ===
    Version      No Rich (s)    With Rich (s)
    ---------  -------------  ---------------
    2.6.0.dev          7.676            8.345

Key changes:

1. Conditional refresh
   CustomProgress.refresh now only calls its superclass method when running in interactive mode. This change is critical for performance since in most cases, we only need to notify the refresh thread rather than performing a full refresh.
2. No threading.Event for custom _RefreshThread
   Using Event would introduce unnecessary locking overhead. Since acquiring and releasing locks are relatively expensive here, this approach didn’t yield any speed improvement.
3. Auto-refresh side effects
   Simply enabling auto_refresh would revert Add refresh_rate to RichProgressBar #10497 and bring back pdb - based debugging with RichProgressBar doesn't show input #10607, which causes pdb unusable when using RichProgressBar.

TBH, I’m not entirely sure if this is the best solution, but I haven’t found another way to improve performance without undoing prior fixes.
Given that we’re now defaulting to rich-based progress bars and model summaries when rich is installed, I think this could still be quite a beneficial improvement — happy to hear thoughts or alternative ideas.

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📚 Documentation preview 📚: https://pytorch-lightning--21321.org.readthedocs.build/en/21321/