feat: embedded subtitles in the video player (MNP 3.3)

MSE decodes no in-band text track, so a subtitle cannot ride inside the
fragmented MP4 the player is fed. The node extracts one track whole, converts
it to WebVTT and caches it under its own hash; the client pulls that blob
through the ordinary file_req/chunk path and hangs a <track> on the video
element — the same indirection as a TMDB poster or an audio transcode, which
is what makes a film's subtitles extracted once in the life of the file rather
than once per viewing. Whole-file also makes the cues absolute, so a seek and
an audio-language change both leave the track untouched.

**The ordinal counts every subtitle stream, including the ones never listed.**
Only text codecs are offered: a bitmap track (PGS, VOBSUB — about a fifth of a
real library) has no path to WebVTT without OCR, and one extracted anyway
yields a header with no cues, which is a menu entry that shows nothing and
reports no error. Numbering the survivors of that filter would give a
PGS/SRT/SRT file the ordinals 0 and 1 for its text tracks and `-map 0:s:0`
would then extract the PGS — the same trap `AudioTrack.ordinal` exists for,
one level deeper. A fixture whose first subtitle stream cannot be decoded pins
it, and the handler checks membership of the probed list, never a range.

Additive and MINOR: the selector is drawn from `subtitle_tracks` in the node's
own `stream_init` and from no version number, so `subtitle_req` is never sent
to a peer that would not answer it. The floor stays at 3.0.

Also here: a failed extraction never touches playback, a superseded reply
cannot install its blob over a newer choice, and `_languageName` is shared
with the audio labels — lifted by both label harnesses, since a lift that
names one function stops covering the rule the moment logic moves out of it.

Tests: 9 node (tracks told apart by the words in the extracted cues, not by
tags), 10 client. Full suite green: 1545 node/common, 1252 hub.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UGY17EPph5LsLzePPXhUVc

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