Renumber spec 001 decision placeholders to D-040–D-051; record the Danish publication

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

tests/engine.test.ts

@@ -77,7 +77,7 @@ describe("BrowserEngine", () => {
     expect("modelId" in message).toBe(false);
   });
 
-  test("forwards the vocabulary hint as `prompt`, and omits an empty one (D-WS2a)", () => {
+  test("forwards the vocabulary hint as `prompt`, and omits an empty one (D-048)", () => {
     const worker = new FakeWorker();
     const engine = new BrowserEngine(worker);
     void engine.transcribe(new Float32Array(4), { prompt: "Maxwell\nVoid" });
@@ -88,7 +88,7 @@ describe("BrowserEngine", () => {
     expect("prompt" in worker.posted[2]!.message).toBe(false);
   });
 
-  test("forwards the long-form request only when set (D-WS3a)", () => {
+  test("forwards the long-form request only when set (D-049)", () => {
     const worker = new FakeWorker();
     const engine = new BrowserEngine(worker);
     void engine.transcribe(new Float32Array(4), { longForm: true });

tests/errors.test.ts

@@ -99,7 +99,7 @@ describe("classifyError", () => {
   });
 });
 
-describe("classifyError — transcript translation (D-WS4b)", () => {
+describe("classifyError — transcript translation (D-045)", () => {
   test("out of memory while translating suggests closing tabs, not a smaller Whisper model", () => {
     const classified = classifyError("RangeError: Out of memory", { stage: "translate" });
     expect(classified.kind).toBe("out-of-memory");

tests/fixtures/stub_fw/faster_whisper/__init__.py

@@ -1,7 +1,7 @@
 """faster_whisper stand-in that reports how server-py/sidecar.py called it.
 
 Lets tests/transcribe.test.ts check the real sidecar's request routing
-(D-WS5a: file → BatchedInferencePipeline + VAD, live → sequential) without
+(D-047: file → BatchedInferencePipeline + VAD, live → sequential) without
 CTranslate2 or model weights. Every segment's text describes the call:
 
   " seq model=<name> loads=<n> <sorted kwargs>"      WhisperModel.transcribe

tests/hint-parity.test.ts

@@ -2,7 +2,7 @@ import { describe, expect, test } from "bun:test";
 import { join } from "node:path";
 import { fitHintToBudget, normalizeHint, PROMPT_TOKEN_BUDGET } from "../src/lib/hint";
 
-// D-WS2a: the server engine truncates the hint in Python (server-py/sidecar.py,
+// D-048: the server engine truncates the hint in Python (server-py/sidecar.py,
 // with faster-whisper's tokenizer) and the browser engine in TypeScript
 // (src/lib/hint.ts, with the Transformers.js tokenizer). Both must apply the
 // same rule; with the same deterministic fake tokenizer they must agree

tests/hint.test.ts

@@ -67,13 +67,13 @@ describe("hint storage", () => {
   });
 });
 
-describe("fitHintToBudget (D-WS2a truncation rule)", () => {
+describe("fitHintToBudget (D-048 truncation rule)", () => {
   test("empty hint means no prompt", () => {
     expect(fitHintToBudget("  \n", charEncode)).toEqual([]);
   });
 
   test("a hint within budget is encoded as a space-led sentence ending in a full stop", () => {
-    // Measured (D-WS2a): an unterminated list prompt suppresses punctuation
+    // Measured (D-048): an unterminated list prompt suppresses punctuation
     // and triggers repetition loops on smaller models; a full stop does not.
     expect(fitHintToBudget("Maxwell\nVoices of the Void", charEncode)).toEqual(
       charEncode(" Maxwell, Voices of the Void."),

tests/live-real-model.test.ts

@@ -329,7 +329,7 @@ describe("live pipeline accuracy (real model, real recordings)", () => {
 });
 
 // ---------------------------------------------------------------------------
-// Vocabulary hint (D-WS2a): the worker's real prompt code on real weights
+// Vocabulary hint (D-048): the worker's real prompt code on real weights
 // ---------------------------------------------------------------------------
 
 const HINT = "Maxwell, Voices of the Void, Slenderman, RuneScape, UFO";
@@ -372,7 +372,7 @@ async function transcribeWithHint(
   return single.text ?? "";
 }
 
-describe("vocabulary hint (real model, D-WS2a)", () => {
+describe("vocabulary hint (real model, D-048)", () => {
   test.skipIf(!available)(
     "a hint keeps the transcript intact, keeps the hinted names, and never leaks into the text",
     async () => {
@@ -429,7 +429,7 @@ describe("vocabulary hint (real model, D-WS2a)", () => {
 });
 
 // ---------------------------------------------------------------------------
-// File-mode accuracy of the long-form pipeline (D-WS3a): Silero VAD chunks,
+// File-mode accuracy of the long-form pipeline (D-049): Silero VAD chunks,
 // one decode per ≤ 30 s chunk — the path behind "Skip silence". Same
 // per-clip bars as the live and chunked file paths above.
 // ---------------------------------------------------------------------------
@@ -462,7 +462,7 @@ describe("long-form file pipeline accuracy (real model, real recordings)", () =>
           if (clip.language !== "en") {
             // "Auto-detect" in the UI: the chunked path forces English here
             // (Transformers.js 4.2 has no detection); long-form detects once
-            // on the first speech chunk and pins it (D-WS3a).
+            // on the first speech chunk and pins it (D-049).
             // Detection must not cost an extra encoder pass: the first
             // chunk's decode reuses the encoder output detection computed.
             const model = asr.model as unknown as Record<string, unknown>;

tests/longform-setting.test.ts

@@ -18,7 +18,7 @@ function memoryStorage(initial: Record<string, string> = {}) {
   };
 }
 
-describe("long-form setting persistence (D-WS3a)", () => {
+describe("long-form setting persistence (D-049)", () => {
   test("defaults when nothing is stored or storage is unavailable", () => {
     expect(loadLongFormChoice(memoryStorage())).toBe(LONG_FORM_DEFAULT);
     expect(loadLongFormChoice(null)).toBe(LONG_FORM_DEFAULT);

tests/longform-transformers.test.ts

@@ -75,7 +75,7 @@ describe.skipIf(!available)("Silero VAD on the Transformers.js runtime (real mod
   });
 });
 
-describe("createWhisperDeps decode with the names-and-terms hint (D-WS2a × D-WS3a)", () => {
+describe("createWhisperDeps decode with the names-and-terms hint (D-048 × D-049)", () => {
   /** A fake ASR pipeline that records the generate options of each call. */
   function fakeAsr() {
     const calls: Record<string, unknown>[] = [];

tests/mobileMemoryGuard.test.ts

@@ -106,7 +106,7 @@ describe("shouldWarnBeforeLoad", () => {
   });
 });
 
-describe("desktop-only models (D-WS7a)", () => {
+describe("desktop-only models (D-051)", () => {
   const parakeet = MODELS.find((model) => model.id === PARAKEET_MODEL_ID)!;
   const phone = { userAgent: ANDROID_UA, maxTouchPoints: 5, deviceMemoryGB: 8 };
   const ipad = { userAgent: IPAD_DESKTOP_UA, maxTouchPoints: 5, deviceMemoryGB: undefined };

tests/modelFiles.test.ts

@@ -2,7 +2,7 @@ import { describe, expect, test } from "bun:test";
 import { fetchModelFile, type ModelFileCacheStorage } from "../src/worker/modelFiles";
 import type { LoadProgressMessage } from "../src/worker/protocol";
 
-// Cache-API-backed weight download for the Parakeet path (D-WS7a, D-005).
+// Cache-API-backed weight download for the Parakeet path (D-051, D-005).
 
 const URL_A = "https://huggingface.co/org/model/resolve/rev/encoder.onnx";
 

tests/models.test.ts

@@ -39,7 +39,7 @@ describe("MODELS catalog", () => {
       "onnx-community/whisper-medium-ONNX",
       "onnx-community/whisper-large-v3-turbo",
       `${DANISH_MODELS_HF_OWNER}/whisper-small-danish-ONNX`,
-      // Not Whisper: the D-WS7a Parakeet engine path, last so it never
+      // Not Whisper: the D-051 Parakeet engine path, last so it never
       // becomes anyone's accidental default.
       "ysdede/parakeet-tdt-0.6b-v3-onnx",
     ]);
@@ -80,7 +80,7 @@ describe("MODELS catalog", () => {
   });
 
   test("every Whisper model maps to a faster-whisper name for the server engine (D-013)", () => {
-    // The Danish conversions (D-WS6a) have no faster-whisper alias; their
+    // The Danish conversions (D-046) have no faster-whisper alias; their
     // server-engine name is a Hub repo id — covered by the Danish suite below.
     for (const model of WHISPER_MODELS.filter((m) => !m.id.startsWith(`${DANISH_MODELS_HF_OWNER}/`))) {
       // The onnx-community ids and faster-whisper's aliases share the same
@@ -98,7 +98,7 @@ describe("MODELS catalog", () => {
   });
 });
 
-describe("Danish fine-tune conversions (D-WS6a)", () => {
+describe("Danish fine-tune conversions (D-046)", () => {
   const owner = `${DANISH_MODELS_HF_OWNER}/`;
   const danish = MODELS.filter((model) => model.id.startsWith(owner));
 
@@ -131,7 +131,7 @@ describe("Danish fine-tune conversions (D-WS6a)", () => {
     expect(smallDa!.decoderParamsM).toBe(small.decoderParamsM);
   });
 
-  test("default to the dtypes measured on the converted files (D-WS6a)", () => {
+  test("default to the dtypes measured on the converted files (D-046)", () => {
     // da_festuge on onnxruntime-node: q4 matched or beat q8 and was faster for
     // all three, small included; fp16 encoders did not overflow (D-022 check).
     for (const model of danish) {
@@ -141,7 +141,7 @@ describe("Danish fine-tune conversions (D-WS6a)", () => {
         decoder_model_merged: "q4",
       });
       expect(resolveDefaultDtype(model.id, "webnn")).toBe("fp16");
-      expect(model.defaults.wasm.note).toContain("D-WS6a");
+      expect(model.defaults.wasm.note).toContain("D-046");
     }
   });
 });
@@ -270,7 +270,7 @@ describe("WHISPER_LANGUAGES", () => {
   });
 });
 
-describe("canTranslate (D-WS4a)", () => {
+describe("canTranslate (D-044)", () => {
   test("Whisper translate is offered only where OpenAI trained it", () => {
     const translating = MODELS.filter((model) => model.canTranslate).map((model) => model.id);
     // large-v3-turbo was not trained for translation (OpenAI model card);
@@ -290,7 +290,7 @@ describe("canTranslate (D-WS4a)", () => {
   });
 });
 
-describe("taskForModel (D-WS4a)", () => {
+describe("taskForModel (D-044)", () => {
   test("a stale translate resets to transcribe on a model that cannot translate", () => {
     expect(taskForModel("onnx-community/whisper-large-v3-turbo", "translate")).toBe("transcribe");
     expect(taskForModel("onnx-community/whisper-small.en", "translate")).toBe("transcribe");
@@ -306,7 +306,7 @@ describe("taskForModel (D-WS4a)", () => {
   });
 });
 
-describe("Parakeet catalog entry (D-WS7a)", () => {
+describe("Parakeet catalog entry (D-051)", () => {
   const parakeet = getModel(PARAKEET_MODEL_ID)!;
 
   test("family defaults to whisper when absent", () => {

tests/offline.md

@@ -69,7 +69,7 @@ The worker now caps WASM sessions at `graphOptimizationLevel: "basic"`
 outside the browser. **Re-run this step with Backend = WASM to confirm in a
 real browser.**
 
-**Update (2026-10-30, D-WS1c):** the Transformers.js 4.3.2 bump brings an
+**Update (2026-10-30, D-043):** the Transformers.js 4.3.2 bump brings an
 onnxruntime-web build without that bug, so the cap is gone and WASM sessions
 run at the default level again. Re-run this step with Backend = WASM (Whisper
 Tiny and Tiny.en) to confirm the session still loads in a real browser.
@@ -111,7 +111,7 @@ Result: Works.
 
 Result: Works
 
-## 5. Transcript translation offline (D-WS4b)
+## 5. Transcript translation offline (D-045)
 
 1. Online: transcribe anything, open **Translate transcript…**, pick a
    direction, click **Translate**. The hint said "Downloads a translation
@@ -129,7 +129,7 @@ Result: Works
 
 Result: _pending (needs a real browser)_
 
-## 6. "Skip silence" (long-form pipeline, D-WS3a/D-WS3b)
+## 6. "Skip silence" (long-form pipeline, D-049/D-050)
 
 1. Online, open **Advanced**, tick **Skip silence in uploaded files**, and
    transcribe a file. DevTools → Network shows one request for

tests/parakeet-real-model.test.ts

@@ -15,7 +15,7 @@ import {
 import { wordErrorRate } from "./dsp";
 
 /**
- * Real-model accuracy of the Parakeet engine path (D-WS7a), opt-in:
+ * Real-model accuracy of the Parakeet engine path (D-051), opt-in:
  *
  *   PARAKEET_REAL=1 bun test tests/parakeet-real-model.test.ts
  *

tests/parakeet.test.ts

@@ -12,7 +12,7 @@ import {
 } from "../src/lib/parakeet";
 import { transcriptToSrt, transcriptToTimestampedTxt } from "../src/lib/export";
 
-// Pure Parakeet engine logic (D-WS7a) — no model, no runtime.
+// Pure Parakeet engine logic (D-051) — no model, no runtime.
 
 const RATE = 16_000;
 

tests/prompt.test.ts

@@ -35,7 +35,7 @@ function tokens(output: unknown): number[] {
   return (output as Tensor).tolist()[0]!.map(Number);
 }
 
-describe("installPromptSupport (D-WS2a)", () => {
+describe("installPromptSupport (D-048)", () => {
   test("without a prompt kwarg, generate is called exactly as before", async () => {
     const model = fakeModel([50258, 50259, 50360]);
     installPromptSupport(model);
@@ -117,7 +117,7 @@ describe("buildPromptPrefix", () => {
     ]);
   });
 
-  test("a huge hint stays within the 120-token budget (D-WS2a)", () => {
+  test("a huge hint stays within the 120-token budget (D-048)", () => {
     const prefix = buildPromptPrefix(tokenizer, "Maxwell, ".repeat(500));
     expect(prefix.length).toBeLessThanOrEqual(121);
   });

tests/protocol.test.ts

@@ -83,7 +83,7 @@ describe("isUiToWorkerMessage", () => {
   });
 });
 
-describe("choosePipeline (D-WS3a/D-WS3b)", () => {
+describe("choosePipeline (D-049/D-050)", () => {
   test("long-form only when asked for and the VAD model loaded", () => {
     expect(choosePipeline({ longForm: true, vadReady: true })).toBe("longform");
     // Offline / never downloaded: the old path, never an error (Review Focus 3).
@@ -248,7 +248,7 @@ describe("deviceAttempts (D-004, D-017)", () => {
   });
 });
 
-describe("parakeetDeviceAttempts (D-WS7a)", () => {
+describe("parakeetDeviceAttempts (D-051)", () => {
   const everything = { webnn: true, webgpu: true, webgpuF16: true };
 
   test("auto never picks an accelerator for Parakeet", () => {
@@ -322,7 +322,7 @@ describe("TranscribeProgressTracker", () => {
     expect(tracker.finalizeWindow()).toBeNull(); // 20 clamps to 8, not an advance
   });
 
-  describe("forWindows (variable-length VAD chunks, D-WS3a)", () => {
+  describe("forWindows (variable-length VAD chunks, D-049)", () => {
     // Two speech chunks with a skipped 15 s silence between them: [0–20 s]
     // and [35–60 s] of a 70 s file.
     const windows = [

tests/server-engine.md

@@ -22,7 +22,7 @@ FW_INTEGRATION=1 bun test tests/transcribe.test.ts
 
 Runs the real sidecar end to end (spawn → ready handshake → `tiny.en` load →
 transcribe → done), then the first 60 s of `tests/audio_files/en_alien.opus`
-(needs `ffmpeg`) in both decoding modes (D-WS5a): `file` (faster-whisper's
+(needs `ffmpeg`) in both decoding modes (D-047): `file` (faster-whisper's
 `BatchedInferencePipeline` + Silero VAD, what `POST /api/transcribe` uses) and
 `live` (sequential, what server-live passes use). First run downloads ~75 MB
 of weights from the Hub. Point `SIDECAR_PYTHON` at a virtualenv's python if
@@ -52,11 +52,11 @@ burst, segments in bursts — and cancels a batched run after its first burst.
 5. Transcribe the same clip through the server engine.
 
 - [ ] Segments stream in as JSON lines (not one blob at the end). With the
-      batched pipeline (D-WS5a) they arrive in bursts — one burst per 8
+      batched pipeline (D-047) they arrive in bursts — one burst per 8
       speech chunks (≈ up to 4 min of audio) — with blank heartbeat lines
       every 5 s in between; on a clip under ~30 s of speech, everything
       arrives as a single segment at the end. Each segment covers one VAD
-      speech chunk (up to 30 s), not one sentence — expected (D-WS5a).
+      speech chunk (up to 30 s), not one sentence — expected (D-047).
 - [ ] Cancelling a long server transcription (abort / page refresh) stops
       the sidecar within one burst; the next request then starts normally.
 - [ ] Both transcripts agree in content (minor punctuation/casing drift

tests/server-live.test.ts

@@ -125,7 +125,7 @@ describe("createLiveWebSocket", () => {
     // wait for the payload itself, or a loaded machine races past it.
     await waitFor(() => sidecar.audioPayloads.length > 0);
     expect(sidecar.requests[0]).toEqual(
-      // Live passes are short: sequential decoding, no batching/VAD (D-WS5a).
+      // Live passes are short: sequential decoding, no batching/VAD (D-047).
       expect.objectContaining({ model: "base", language: "da", task: "translate", mode: "live" }),
     );
     // The bytes written to the temp file are exactly the committed segment's
@@ -142,7 +142,7 @@ describe("createLiveWebSocket", () => {
     await waitFor(async () => (await readdir(tempDir)).length === 0);
   });
 
-  test("every pass of a session carries the session's vocabulary hint (D-WS2a)", async () => {
+  test("every pass of a session carries the session's vocabulary hint (D-048)", async () => {
     const tempDir = await makeTempDir();
     const sidecar = fakeSidecar();
     const handler = createLiveWebSocket({ sidecar });

tests/transcribe.test.ts

@@ -168,7 +168,7 @@ describe("parseLanguageAndTask", () => {
   });
 });
 
-describe("parseLanguageAndTask: vocabulary hint (D-WS2a)", () => {
+describe("parseLanguageAndTask: vocabulary hint (D-048)", () => {
   const parse = (query: string) => parseLanguageAndTask(new URL(`http://localhost/x${query}`));
 
   test("normalizes the hint like the worker does", () => {
@@ -357,7 +357,7 @@ describe("POST /api/transcribe", () => {
   });
 
   test("heartbeat blank lines keep a quiet stream alive before the first segment (D-021)", async () => {
-    // The batched pipeline (D-WS5a) runs VAD over the whole file and decodes a
+    // The batched pipeline (D-047) runs VAD over the whole file and decodes a
     // full batch before its first segment, so the quiet stretch is longer.
     const handlers = createTranscribeHandlers({
       sidecar: fakeSidecar({ delayMs: 200 }),
@@ -375,7 +375,7 @@ describe("POST /api/transcribe", () => {
     expect(text).toContain('"type":"result"');
   });
 
-  test("passes the vocabulary hint to the sidecar; 400 for an over-long one (D-WS2a)", async () => {
+  test("passes the vocabulary hint to the sidecar; 400 for an over-long one (D-048)", async () => {
     const sidecar = fakeSidecar();
     const handlers = createTranscribeHandlers({
       sidecar,
@@ -477,7 +477,7 @@ describe("createSidecar (fake python sidecar)", () => {
     expect(segments[1]!.text).toContain("model=ok bytes=12 lang=da task=translate");
     expect(segments[1]!.text).not.toContain("prompt=");
 
-    // The vocabulary hint crosses the JSON-lines protocol intact (D-WS2a).
+    // The vocabulary hint crosses the JSON-lines protocol intact (D-048).
     const prompted: SidecarSegment[] = [];
     await sidecar.transcribe(
       { model: "ok", audioPath, prompt: "Århus, Voices of the Void" },
@@ -554,11 +554,11 @@ describe("createSidecar (degradation, D-013)", () => {
 
 // ---------------------------------------------------------------------------
 // The real server-py/sidecar.py against a stubbed faster_whisper/numpy
-// (tests/fixtures/stub_fw): request routing, model cache, cancel (D-WS5a).
+// (tests/fixtures/stub_fw): request routing, model cache, cancel (D-047).
 // `-S` keeps real site-packages out, so this runs the same everywhere.
 // ---------------------------------------------------------------------------
 
-describe("server-py/sidecar.py (stubbed faster-whisper, D-WS5a)", () => {
+describe("server-py/sidecar.py (stubbed faster-whisper, D-047)", () => {
   const STUB_DIR = join(import.meta.dir, "fixtures/stub_fw");
   const stubbedSidecar = () =>
     createSidecar(["env", `PYTHONPATH=${STUB_DIR}`, "python3", "-S", REAL_SIDECAR]);
@@ -590,7 +590,7 @@ describe("server-py/sidecar.py (stubbed faster-whisper, D-WS5a)", () => {
     expect(explicit.texts[0]).toContain("batched model=m1");
     expect(explicit.texts[0]).toContain("vad_filter=True");
     expect(explicit.texts[0]).toContain("batch_size=8");
-    // Tuned Silero VAD: the default (0.5 / 400 ms) dropped quiet speech (D-WS5a).
+    // Tuned Silero VAD: the default (0.5 / 400 ms) dropped quiet speech (D-047).
     expect(explicit.texts[0]).toContain("vad_parameters={'threshold': 0.2, 'speech_pad_ms': 800}");
     expect(explicit.texts[0]).toContain("language=da");
     expect(explicit.texts[0]).toContain("task=transcribe");
@@ -599,7 +599,7 @@ describe("server-py/sidecar.py (stubbed faster-whisper, D-WS5a)", () => {
     expect(implicit.texts[0]).toContain("batched model=m1");
   });
 
-  test("the vocabulary hint reaches the batched pipeline as text, and live passes as ids (D-WS2a, D-WS5a)", async () => {
+  test("the vocabulary hint reaches the batched pipeline as text, and live passes as ids (D-048, D-047)", async () => {
     const sidecar = stubbedSidecar();
     const file = await run(sidecar, { model: "m1", mode: "file", prompt: "Maxwell, Voices of the Void" });
     expect(file.texts).toHaveLength(1);
@@ -611,7 +611,7 @@ describe("server-py/sidecar.py (stubbed faster-whisper, D-WS5a)", () => {
     expect(live.texts[0]).toContain("initial_prompt=[32, 77, 97, 120, 119, 101, 108, 108, 46]");
   });
 
-  test("live mode stays sequential without VAD (short passes, D-WS5a)", async () => {
+  test("live mode stays sequential without VAD (short passes, D-047)", async () => {
     const sidecar = stubbedSidecar();
     const { texts } = await run(sidecar, { model: "m1", mode: "live", task: "translate" });
     expect(texts[0]).toContain("seq model=m1");
@@ -681,7 +681,7 @@ describe.skipIf(!process.env.FW_INTEGRATION)("real faster-whisper sidecar", () =
   );
 
   test(
-    "file mode (batched + VAD) and live mode both transcribe real speech (D-WS5a)",
+    "file mode (batched + VAD) and live mode both transcribe real speech (D-047)",
     async () => {
       const sidecar = createSidecar();
       // First 60 s of en_alien as raw float32 16 kHz mono — what the browser uploads.
@@ -718,7 +718,7 @@ describe.skipIf(!process.env.FW_INTEGRATION)("real faster-whisper sidecar", () =
   }
 
   test(
-    "a long file streams in bursts behind heartbeats over HTTP (D-021, D-WS5a)",
+    "a long file streams in bursts behind heartbeats over HTTP (D-021, D-047)",
     async () => {
       const handlers = createTranscribeHandlers({
         sidecar: createSidecar(),
@@ -756,7 +756,7 @@ describe.skipIf(!process.env.FW_INTEGRATION)("real faster-whisper sidecar", () =
       expect(segmentLines.at(-1)!.at - segmentLines[0]!.at).toBeGreaterThan(100);
       expect(lines.at(-1)!.line).toContain('"type":"result"');
       console.log(
-        "[D-WS5a] segment arrival (ms):",
+        "[D-047] segment arrival (ms):",
         segmentLines.map(({ at }) => Math.round(at)).join(" "),
       );
     },

tests/transcriptionOptions.test.tsx

@@ -2,7 +2,7 @@ import { describe, expect, test } from "bun:test";
 import { renderToStaticMarkup } from "react-dom/server";
 import { TranscriptionOptions } from "../src/components/TranscriptionOptions";
 
-// D-WS4a: Whisper's own "Translate to English" only where the model can do it.
+// D-044: Whisper's own "Translate to English" only where the model can do it.
 function render(canTranslate: boolean): string {
   return renderToStaticMarkup(
     <TranscriptionOptions

tests/transformers-runtime.test.ts

@@ -3,7 +3,7 @@ import { existsSync, readFileSync } from "node:fs";
 import { join } from "node:path";
 
 /**
- * Tripwires for the patched, pinned Transformers.js runtime (D-WS1a).
+ * Tripwires for the patched, pinned Transformers.js runtime (D-040).
  * `@huggingface/transformers` carries a `bun patch` (D-027/D-028) keyed by
  * its exact version; a bump that forgets to regenerate the patch would leave
  * the app working but silently bring back the mobile OOM. These checks fail
@@ -48,22 +48,22 @@ describe("@huggingface/transformers runtime", () => {
     expect(body).toContain("for (const name of Object.keys(names))");
   });
 
-  test("Whisper generate still takes the seek loop when max_new_tokens is unset (D-021, D-WS1b)", () => {
+  test("Whisper generate still takes the seek loop when max_new_tokens is unset (D-021, D-042)", () => {
     // The worker's `max_new_tokens: 440` exists only to dodge this branch.
     // If upstream changes the condition, re-measure D-021 before touching it.
     const source = read(join(PKG_DIR, "src/models/whisper/modeling_whisper.js"));
     expect(source).toContain("if (generation_config.return_timestamps && !kwargs.max_new_tokens)");
   });
 
-  test("onnxruntime-web is the build D-WS1c re-tested 8-bit decoders on at the default optimization level", () => {
+  test("onnxruntime-web is the build D-043 re-tested 8-bit decoders on at the default optimization level", () => {
     // D-014's "basic" cap was dropped because this build loads the q8 merged
     // decoders at every graphOptimizationLevel. A different build needs the
-    // D-WS1c session-creation check re-run before it ships.
+    // D-043 session-creation check re-run before it ships.
     const ortWeb = JSON.parse(read(join(ROOT, "node_modules/onnxruntime-web/package.json"))).version;
     expect(ortWeb).toBe("1.31.0-dev.20260914-8d85527a0");
   });
 
-  test("worker leaves WASM sessions at the default graph optimization level (D-WS1c)", () => {
+  test("worker leaves WASM sessions at the default graph optimization level (D-043)", () => {
     const worker = read(join(ROOT, "src/worker/inference.worker.ts"));
     expect(worker).not.toContain("graphOptimizationLevel");
   });

tests/translate-real-model.test.ts

@@ -9,7 +9,7 @@ import {
 import { loadOpusMt, type OpusMtTranslator } from "../src/worker/opusMt";
 
 /**
- * Real Opus-MT translation on onnxruntime-node (D-WS4b), opt-in:
+ * Real Opus-MT translation on onnxruntime-node (D-045), opt-in:
  *
  *   MT_INTEGRATION=1 flock /tmp/whisper-heavy.lock bun test tests/translate-real-model.test.ts
  *

tests/translatePanel.test.tsx

@@ -2,7 +2,7 @@ import { describe, expect, test } from "bun:test";
 import { renderToStaticMarkup } from "react-dom/server";
 import { TranslatePanel, translateStatusText } from "../src/components/TranslatePanel";
 
-// D-WS4b: the panel's copy, before any worker exists (static render).
+// D-045: the panel's copy, before any worker exists (static render).
 const danish = { text: "Det er ikke noget med at vi skal på ferie.", chunks: [] };
 
 function render(downloaded: string[] = [], hint?: string) {

tests/translation.test.ts

@@ -12,7 +12,7 @@ import {
 } from "../src/lib/translation";
 import type { TranscriptChunk } from "../src/worker/protocol";
 
-// Pure planning for transcript translation (D-WS4b) — no model, no network.
+// Pure planning for transcript translation (D-045) — no model, no network.
 
 describe("translateUnits", () => {
   test("translates every piece in order, batched, and rejoins per unit", async () => {

tests/workerBundle.test.ts

@@ -2,7 +2,7 @@ import { describe, expect, test } from "bun:test";
 import { join } from "node:path";
 import { ortAliasPlugin } from "../scripts/ortAlias";
 
-// D-WS7a: the Parakeet path must not bring a second onnxruntime into the
+// D-051: the Parakeet path must not bring a second onnxruntime into the
 // inference worker. parakeet.js depends on its own onnxruntime-web (1.24.1);
 // the app runs the one Transformers.js pins. Unminified bundles carry a
 // `// node_modules/<path>` comment per bundled module, so count runtimes.