fix(offline): mutate cached HF constants + threadsafe refcount

Review feedback on the initial fix surfaced two real issues:

1. ``os.environ`` toggles alone don't flip offline mode.
   ``huggingface_hub.constants.HF_HUB_OFFLINE`` is read once at import
   time into a module-level bool; ``transformers.utils.hub._is_offline_mode``
   mirrors that bool at its own import time. The hot paths
   (``_http._default_backend_factory`` in huggingface_hub,
   ``is_offline_mode`` in transformers) read the cached bools — not the
   env — so mutating only ``os.environ`` was a no-op.

2. Race condition on concurrent inference. Two threads running inside
   ``force_offline_if_cached`` via ``asyncio.to_thread`` could have
   thread A's ``finally`` strip thread B's offline protection mid-run.

Rewrite the helper to:
  - mutate ``huggingface_hub.constants.HF_HUB_OFFLINE`` and
    ``transformers.utils.hub._is_offline_mode`` directly
  - refcount concurrent users under a single ``threading.RLock`` so a
    shared offline window is restored only when the last caller exits
  - still write ``os.environ`` for anything that reads it dynamically

Also addresses the unused-variable ruff flag on the Whisper transcribe
path (``audio, sr`` → ``audio, _sr``).

New unit tests cover the cached-constant mutation, env propagation,
no-op on ``is_cached=False``, nested contexts, and a threaded race
where a slow thread must retain offline mode after a peer exits.

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>

backend/backends/pytorch_backend.py

@@ -347,7 +347,7 @@ class PyTorchSTTBackend:
         def _transcribe_sync():
             """Run synchronous transcription in thread pool."""
             # Load audio
-            audio, sr = load_audio(audio_path, sample_rate=16000)
+            audio, _sr = load_audio(audio_path, sample_rate=16000)
 
             # Model is loaded → weights are on disk. Force offline so
             # `get_decoder_prompt_ids` and any lazy tokenizer lookups