From 2a49ebdab281e54cdb95ceaf7c135ea653dcd332 Mon Sep 17 00:00:00 2001
From: xsl <youmiss@163.com>
Date: Mon, 12 Oct 2026 22:44:41 +0800
Subject: [PATCH] test(deploy): verify report touch release on public server

---
 docs/报告布局与跟手交互调整-2026-10-12.md |    9 +
 graphify-out/.graphify_labels.json        |   20 +-
 graphify-out/.graphify_labels.json.sig    |    2 +-
 graphify-out/GRAPH_REPORT.md              |  140 ++-
 graphify-out/graph.html                   |    8 +-
 graphify-out/graph.json                   | 1033 +++++++++++----------
 graphify-out/manifest.json                |   13 +-
 h5/test/report-touch-layout.mjs           |    3 +-
 8 files changed, 669 insertions(+), 559 deletions(-)

diff --git a/docs/报告布局与跟手交互调整-2026-10-12.md b/docs/报告布局与跟手交互调整-2026-10-12.md
index 7997bfc..a384220 100644
--- a/docs/报告布局与跟手交互调整-2026-10-12.md
+++ b/docs/报告布局与跟手交互调整-2026-10-12.md
@@ -51,3 +51,12 @@ node h5/test/analyze-timeout.js
 本次未修改拍摄合格阈值、评分算法、推荐规则、报告文案、登录或保存逻辑。未追踪的 `new_feedback/` 保持原样，不纳入本次提交。
 
 发布目标为 `ubuntu@1me.xajuzi.com:/home/ubuntu/juzi`，服务 `juzi-h5.service`。沿用 Git bundle 快进同步，不代用户推送 origin，不更改服务器环境配置或历史数据；上线后核对静态文件哈希、服务健康和匿名访问保护，并通过公网执行只读模拟账号浏览器测试。
+
+## 线上验收（2026-10-12）
+
+- 功能提交 `63c9e06`，从服务器基线 `69dc996` 快进发布，已重启服务。`active/running`，退出码 0、自动重启次数 0，本机及公网健康检查均通过。
+- 公网首页、app/swipe-track/report-ui/profile-store/capture-quality 脚本、最新 CSS、三张 JPG、扫描底图与蒙版，共 12 份静态资源均为 200，SHA-256 与本地一致，保持 `Cache-Control: no-cache`；JPG 正确返回 `image/jpeg`。
+- 公网匿名会话未登录且 `no-store`；报告列表、后台页面/统计返回 401，账号私有数据及服务端源码/测试入口返回 404。
+- 公网 `report-touch-layout.mjs`、`scan-placeholder.mjs`、`profile-interaction.mjs` 全部通过；覆盖此次报告布局、三组真实触摸跟手/吸附/取消/边界/上下滚动/图片放大，以及白色人头扫描完整周期、失败/取消/迟到响应和基础信息记忆/隔离。没有页面 JS 异常，不创建线上账号/报告，不调用付费检测。
+- 新报告专项脚本首次使用默认 `load` 导航与 30 秒预算，在公网冷加载字体/测试素材时超时。测试改为与现有公网用例一致的 60 秒预算及 `domcontentloaded` 导航，仍等待真实报告渲染与字体加载后执行原有断言，复验通过；不改运行时代码和界面行为。
+- 已检查线上报告、滑动中状态和白色人头扫描截图。震动是否实际发生仍需支持该能力的手机真机确认。
diff --git a/graphify-out/.graphify_labels.json b/graphify-out/.graphify_labels.json
index 185499a..68a79a8 100644
--- a/graphify-out/.graphify_labels.json
+++ b/graphify-out/.graphify_labels.json
@@ -5,7 +5,7 @@
   "3": "skin-score.js",
   "4": "customer-feedback-second.js",
   "5": "n",
-  "6": "ComputeAllFaceDescriptorsTask",
+  "6": "f",
   "7": "test/profile-store.js",
   "8": "admin.js",
   "9": "__awaiter",
@@ -20,7 +20,7 @@
   "18": "1'me肌肤状态检测 H5",
   "19": "customer-feedback-fourth.js",
   "20": "build_fixtures.py",
-  "21": "disposeUnusedWeightTensors",
+  "21": "AgeGenderNet",
   "22": ".loadFromDisk",
   "23": "facepp-skinanalyze（旷视皮肤分析专业版调用技能）",
   "24": "巨子测肤 · 1'me 语音播报内容设计文档 V1.0",
@@ -40,9 +40,9 @@
   "38": "FaceLandmark68Net",
   "39": "UI交互界面调整",
   "40": "第四轮反馈修改与验收",
-  "41": ".forwardInput",
+  "41": "SsdMobilenetv1",
   "42": "layer_at",
-  "43": "AgeGenderNet",
+  "43": "height",
   "44": "start-local.sh",
   "45": "PredictAllAgeAndGenderWithFaceAlignmentTask",
   "46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
@@ -54,18 +54,18 @@
   "52": "region-data.js",
   "53": "护理建议（全量文本，按需求摘抄）",
   "54": "UI 对齐 10.09 设计稿：调研与实施计划",
-  "55": "i",
+  "55": "FaceLandmarks68",
   "56": "report-ui.js",
   "57": "regression.js",
   "58": ".forwardInput",
   "59": "call_skinanalyze.sh",
   "60": "report-fixture.js",
-  "61": "extractAllFacesAndComputeResults",
+  "61": "报告布局与跟手交互调整",
   "62": "提交前 Review（2026-10-11）",
   "63": "e2e-browser.mjs",
   "64": "start",
   "65": "微信登录接入与公网部署说明",
-  "66": "FaceLandmarks",
+  "66": "normalize",
   "67": "ui-20261009.mjs",
   "68": "analyze-timeout.js",
   "69": "misans/README.md",
@@ -100,8 +100,8 @@
   "98": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
   "99": "DetectSingleFaceLandmarksTask",
   "100": "ComputeSingleFaceDescriptorTask",
-  "101": "drawFaceExpressions",
-  "102": "extractFaceTensors",
+  "101": "PredictSingleFaceExpressionsTask",
+  "102": "Box",
   "103": "第四轮反馈/傅艳NEW与项思炼的会话 2026年10月12日.md",
   "104": "export_fourth_feedback_assets.py",
   "105": "capture-quality-browser.mjs",
@@ -110,7 +110,7 @@
   "108": "profile-interaction.mjs",
   "109": "submitPhotos",
   "110": "doCapture",
-  "111": "k",
+  "111": "i",
   "112": "showScreen",
   "113": "swipe-track.js",
   "114": "optimize_delivery_images.py",
diff --git a/graphify-out/.graphify_labels.json.sig b/graphify-out/.graphify_labels.json.sig
index 5c62a06..efc376d 100644
--- a/graphify-out/.graphify_labels.json.sig
+++ b/graphify-out/.graphify_labels.json.sig
@@ -1 +1 @@
-{"0": "dcb526d7f5862ca1", "1": "cb6ea50bd4e4a5ca", "2": "3427a6e8a9c7cb3e", "3": "bcbfbc0b66f44357", "4": "56bf12952b0de42b", "5": "9c2200b016047a0f", "6": "3dd68cce72af5314", "7": "417f570ec3320aca", "8": "a689fcb62e7754af", "9": "78f24ff96d971d81", "10": "2b037735e1f5b0f6", "11": "4a490abd5e503318", "12": "aeca274694e158d2", "13": "7e3b558a587a4ebe", "14": "bf75bfc99d4f9e34", "15": "24564b251581a338", "16": "95add6a975c0cb72", "17": "e042d7fe7351bcb9", "18": "f93d5d85e671fcee", "19": "39abb1eef19df707", "20": "aecf2fce44ba49c5", "21": "b53e90dd83caf582", "22": "be2f6d3dcfc9aabd", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "def3f7743d0ffa30", "27": "eab427ce9a5219e9", "28": "9fae77ec21097d72", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "241be5abeab1da6f", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "5e546676ab96de03", "41": "880a74c6d255e5cc", "42": "916170b9f5d7346b", "43": "68c816ca169c7a23", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "cf2f2424bc00436f", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "0148452bf4e4efe0", "56": "9ee2ad45dc27851d", "57": "f2a40b5f1b29f669", "58": "f1a11f57dc1f84a8", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "0e4124a270816f7a", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "a01bccd7f7c24c78", "65": "bdee3c4a37df52f8", "66": "04df478e971b7941", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "be0c8310abda2467", "71": "b6cde9f25b294afc", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "50a4503d0a778ed2", "77": "2ee521497bb8506a", "78": "42c9bc548e269a96", "79": "0746e33eaf6cd1f9", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "200f25fbad7af8fb", "83": "1284897282eb47a3", "84": "d8bb296741d3d05c", "85": "4bc370be8afd7db1", "86": "386c6fcc7be918e0", "87": "e5fa7717989eda80", "88": "8b5ab5232cef3457", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "91": "83b0fd3b14363e4d", "92": "fced244d93677d90", "93": "5a9014c4a7f87699", "94": "713d04996c4627df", "95": "59c31f858c7b6970", "96": "4195478d5c528371", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54", "99": "23f1d406f6c779ae", "100": "7ac475ea9bc280f8", "101": "a0bc88eb14b70170", "102": "74e90d27271154a1", "103": "6ffbe07b521a061b", "104": "e114a7aebaaca2f1", "105": "0567be4dc8048b9c", "106": "8bc72c179793e1c2", "107": "d9c195d9ccdb137e", "108": "e0fc0a42e33bda91", "109": "2c27e5c32bc10822", "110": "b7f77cb02f68832b", "111": "6cc4ed7ee9712ccc", "112": "71cbe5098f4c1b6f", "113": "0d99f86b9e41c4bb", "114": "b9d7c266afa84437", "124": "29790cf710874dd0", "125": "e4f29216745ec758"}
\ No newline at end of file
+{"0": "350e88c1423ab124", "1": "cb6ea50bd4e4a5ca", "2": "3427a6e8a9c7cb3e", "3": "1f737ca8edb978f2", "4": "56bf12952b0de42b", "5": "171f3b1f99ef2776", "6": "f074a081a584c171", "7": "417f570ec3320aca", "8": "a689fcb62e7754af", "9": "ff49d722f6484b4e", "10": "2b037735e1f5b0f6", "11": "4a490abd5e503318", "12": "aeca274694e158d2", "13": "7e3b558a587a4ebe", "14": "bf75bfc99d4f9e34", "15": "3866142b66f8bfdd", "16": "95add6a975c0cb72", "17": "e042d7fe7351bcb9", "18": "f93d5d85e671fcee", "19": "39abb1eef19df707", "20": "aecf2fce44ba49c5", "21": "0c9d5cdd4092b114", "22": "f125f2a02294efd7", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "ab23d3f368091829", "27": "eab427ce9a5219e9", "28": "d5bc4d13da321cc8", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "241be5abeab1da6f", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "5e546676ab96de03", "41": "2f0c86fdda7fa4a4", "42": "916170b9f5d7346b", "43": "3b9b3f4698579e2e", "44": "852c1bb2446edd9c", "45": "92ab3e5134ed8685", "46": "65718282b3c32109", "47": "e594ecaa8e7d1538", "48": "cf2f2424bc00436f", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "68c52c80f38f8b2c", "56": "9ee2ad45dc27851d", "57": "f2a40b5f1b29f669", "58": "0c0cbd63a7b39bc6", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "4b39db1973f82bfe", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "a01bccd7f7c24c78", "65": "bdee3c4a37df52f8", "66": "2a59363e5caa0628", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "be0c8310abda2467", "71": "ecb8093dbcce277d", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "50a4503d0a778ed2", "77": "429cd62f9137881c", "78": "71f300fdfae6e5a6", "79": "86f177bf0a7dd07c", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "200f25fbad7af8fb", "83": "1284897282eb47a3", "84": "2fb17901aa87e0e7", "85": "4bc370be8afd7db1", "86": "386c6fcc7be918e0", "87": "e5fa7717989eda80", "88": "8b5ab5232cef3457", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "91": "83b0fd3b14363e4d", "92": "fced244d93677d90", "93": "8bd61518dd267641", "94": "713d04996c4627df", "95": "59c31f858c7b6970", "96": "4195478d5c528371", "97": "01f68dfc34a29d32", "98": "8c471c7baeaaca54", "99": "23f1d406f6c779ae", "100": "7ac475ea9bc280f8", "101": "cb5ac3401283c378", "102": "04e5ac36860f09d1", "103": "6ffbe07b521a061b", "104": "e114a7aebaaca2f1", "105": "0567be4dc8048b9c", "106": "8bc72c179793e1c2", "107": "d9c195d9ccdb137e", "108": "e0fc0a42e33bda91", "109": "2c27e5c32bc10822", "110": "b7f77cb02f68832b", "111": "f707b3512f2738ed", "112": "71cbe5098f4c1b6f", "113": "0d99f86b9e41c4bb", "114": "b9d7c266afa84437", "124": "c96276581a8c98d4", "125": "e4f29216745ec758"}
\ No newline at end of file
diff --git a/graphify-out/GRAPH_REPORT.md b/graphify-out/GRAPH_REPORT.md
index 9a72c19..9467c43 100644
--- a/graphify-out/GRAPH_REPORT.md
+++ b/graphify-out/GRAPH_REPORT.md
@@ -1,16 +1,16 @@
 # Graph Report - juzi  (2026-10-12)
 
 ## Corpus Check
-- 103 files · ~4,904,011 words
+- 104 files · ~4,904,196 words
 - Verdict: corpus is large enough that graph structure adds value.
 
 ## Summary
-- 1439 nodes · 2888 edges · 117 communities (93 shown, 24 thin omitted)
+- 1444 nodes · 2892 edges · 117 communities (92 shown, 25 thin omitted)
 - Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 209 edges (avg confidence: 0.57)
 - Token cost: 0 input · 0 output
 
 ## Graph Freshness
-- Built from commit: `bcf198ca`
+- Built from commit: `63c9e065`
 - Run `git rev-parse HEAD` and compare to check if the graph is stale.
 - Run `graphify update .` after code changes (no API cost).
 
@@ -21,7 +21,7 @@
 - skin-score.js
 - customer-feedback-second.js
 - n
-- ComputeAllFaceDescriptorsTask
+- f
 - test/profile-store.js
 - admin.js
 - __awaiter
@@ -36,7 +36,7 @@
 - 1'me肌肤状态检测 H5
 - customer-feedback-fourth.js
 - build_fixtures.py
-- disposeUnusedWeightTensors
+- AgeGenderNet
 - .loadFromDisk
 - facepp-skinanalyze（旷视皮肤分析专业版调用技能）
 - 巨子测肤 · 1'me 语音播报内容设计文档 V1.0
@@ -54,9 +54,9 @@
 - FaceLandmark68Net
 - UI交互界面调整
 - 第四轮反馈修改与验收
-- .forwardInput
+- SsdMobilenetv1
 - layer_at
-- AgeGenderNet
+- height
 - start-local.sh
 - PredictAllAgeAndGenderWithFaceAlignmentTask
 - PredictAllFaceExpressionsWithFaceAlignmentTask
@@ -66,17 +66,17 @@
 - call_skinanalyze_3view.sh
 - 护理建议（全量文本，按需求摘抄）
 - UI 对齐 10.09 设计稿：调研与实施计划
-- i
+- FaceLandmarks68
 - report-ui.js
 - regression.js
 - .forwardInput
 - call_skinanalyze.sh
-- extractAllFacesAndComputeResults
+- 报告布局与跟手交互调整
 - 提交前 Review（2026-10-11）
 - e2e-browser.mjs
 - start
 - 微信登录接入与公网部署说明
-- FaceLandmarks
+- normalize
 - ui-20261009.mjs
 - analyze-timeout.js
 - misans/README.md
@@ -107,15 +107,15 @@
 - PredictSingleFaceExpressionsWithFaceAlignmentTask
 - DetectSingleFaceLandmarksTask
 - ComputeSingleFaceDescriptorTask
-- drawFaceExpressions
-- extractFaceTensors
+- PredictSingleFaceExpressionsTask
+- Box
 - 第四轮反馈/傅艳NEW与项思炼的会话 2026年10月12日.md
 - 第三轮反馈20261012/傅艳NEW与项思炼的会话 2026年10月12日.md
 - 基础信息记忆与肤质拖动
 - profile-interaction.mjs
 - submitPhotos
 - doCapture
-- k
+- i
 - showScreen
 - TinyYolov2
 - 报告等待页实拍背景-2026-10-12.md
@@ -147,11 +147,11 @@
 ## Import Cycles
 - None detected.
 
-## Communities (117 total, 24 thin omitted)
+## Communities (117 total, 25 thin omitted)
 
 ### Community 0 - "face-api.js"
 Cohesion: 0.02
-Nodes (46): bgrToRgbTensor(), cn(), computeReshapedDimensions(), createBrowserEnv(), createFaceDetectionNet(), createFileSystem(), createNodejsEnv(), createSsdMobilenetv1() (+38 more)
+Nodes (33): bgrToRgbTensor(), cn(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), Dimensions(), dr(), en() (+25 more)
 
 ### Community 1 - "线上闭环测试（不含真实微信授权）"
 Cohesion: 0.25
@@ -162,7 +162,7 @@ Cohesion: 0.11
 Nodes (22): cancelSkinDrag(), esc(), goSkin(), openHistory(), renderHistoryList(), renderReport(), renderViz(), restartScanCycle() (+14 more)
 
 ### Community 3 - "skin-score.js"
-Cohesion: 0.11
+Cohesion: 0.12
 Nodes (45): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+37 more)
 
 ### Community 4 - "customer-feedback-second.js"
@@ -171,7 +171,11 @@ Nodes (10): assert, context, face, fs, geometry, original, path, source (+2 more
 
 ### Community 5 - "n"
 Cohesion: 0.12
-Nodes (48): a(), ae(), be(), bf(), ce(), cf(), d(), de() (+40 more)
+Nodes (37): ae(), be(), bf(), bi(), ce(), de(), e(), Ef() (+29 more)
+
+### Community 6 - "f"
+Cohesion: 0.21
+Nodes (23): a(), cf(), d(), drawContour(), dt(), ea(), f(), g() (+15 more)
 
 ### Community 7 - "test/profile-store.js"
 Cohesion: 0.12
@@ -182,8 +186,8 @@ Cohesion: 0.20
 Nodes (29): ageText(), api(), bind(), captureQualityHtml(), closeDetail(), collectFilters(), dimsHtml(), doRetry() (+21 more)
 
 ### Community 9 - "__awaiter"
-Cohesion: 0.17
-Nodes (10): __awaiter(), extendWithFaceExpressions(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), loadWeightMap() (+2 more)
+Cohesion: 0.13
+Nodes (14): __awaiter(), bufferToImage(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), fetchImage(), fetchJson() (+6 more)
 
 ### Community 10 - "wechat-browser.mjs"
 Cohesion: 0.22
@@ -202,8 +206,8 @@ Cohesion: 0.12
 Nodes (15): files, analyze-fail, analyzing, countdown-321, hint-far, hint-front, hint-hold, hint-near (+7 more)
 
 ### Community 15 - "extractFaces"
-Cohesion: 0.21
-Nodes (17): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+9 more)
+Cohesion: 0.16
+Nodes (20): awaitMediaLoaded(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractFaceTensors(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+12 more)
 
 ### Community 16 - "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范"
 Cohesion: 0.15
@@ -225,13 +229,13 @@ Nodes (37): evaluate(), finite(), assertPoints(), check(), clamp(), dist(), esti
 Cohesion: 0.40
 Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more)
 
-### Community 21 - "disposeUnusedWeightTensors"
-Cohesion: 0.10
-Nodes (23): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+15 more)
+### Community 21 - "AgeGenderNet"
+Cohesion: 0.05
+Nodes (28): AgeGenderNet(), disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParams$1(), extractParamsFromWeigthMap() (+20 more)
 
 ### Community 22 - ".loadFromDisk"
-Cohesion: 0.20
-Nodes (5): ComposableTask(), getModelUris(), Gf(), Kf(), TinyFaceDetector()
+Cohesion: 0.24
+Nodes (5): ComposableTask(), getModelUris(), Gf(), loadWeightMap(), TinyFaceDetector()
 
 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -247,7 +251,7 @@ Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _class
 
 ### Community 26 - "NeuralNetwork"
 Cohesion: 0.07
-Nodes (26): createFaceRecognitionNet(), createMtcnn(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory(), extractorsFactory(), extractorsFactory$1() (+18 more)
+Nodes (25): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+17 more)
 
 ### Community 27 - "gen_voice.py"
 Cohesion: 0.30
@@ -255,7 +259,7 @@ Nodes (11): ndarray, Path, gen_countdown(), main(), normalize_clip(), 倒计时
 
 ### Community 28 - "C"
 Cohesion: 0.09
-Nodes (29): ao(), Bo(), C(), cd(), co(), Do(), eo(), fo() (+21 more)
+Nodes (31): ao(), Bo(), C(), cd(), co(), Do(), eo(), fo() (+23 more)
 
 ### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
 Cohesion: 0.29
@@ -285,17 +289,17 @@ Nodes (4): 1meAI测肤旷视UI问题反馈, UI交互界面调整, 交互, **设
 Cohesion: 0.22
 Nodes (8): PSD 来源, 前端参数及限制, 后台校准留痕, 已确认并实现, 生产部署及只读验收, 皱纹（紧塑力）原文, 第四轮反馈修改与验收, 验证
 
-### Community 41 - ".forwardInput"
-Cohesion: 0.22
-Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)
+### Community 41 - "SsdMobilenetv1"
+Cohesion: 0.18
+Nodes (10): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+2 more)
 
 ### Community 42 - "layer_at"
 Cohesion: 0.18
 Nodes (11): list, bounds(), layer_at(), main(), save_image(), composite(), main(), sha256() (+3 more)
 
-### Community 43 - "AgeGenderNet"
-Cohesion: 0.10
-Nodes (14): AgeGenderNet(), convLayer(), convWithBatchNorm(), depthwiseSeparableConv$1(), FaceLandmark68TinyNet(), FaceProcessor(), fullyConnectedLayer(), leaky() (+6 more)
+### Community 43 - "height"
+Cohesion: 0.27
+Nodes (5): height(), FaceLandmark68NetBase(), sigmoid(), TinyYolov2Base(), validateConfig()
 
 ### Community 44 - "start-local.sh"
 Cohesion: 0.50
@@ -317,10 +321,6 @@ Nodes (19): 5\.1 轮廓（紧塑力）, 5\.2 皱纹（紧塑力）, 5\.3 肤色
 Cohesion: 0.11
 Nodes (17): 1. 结论和依据, 2. 统一比较口径, 3. 逐页差异和调整内容, 4. 报告数据如何接到新 UI, 5. 登录与“我的报告”的真实能力缺口, 6. 原稿中需要整理的内容, 7. 实施顺序与交付物, 8. 验收定义 (+9 more)
 
-### Community 55 - "i"
-Cohesion: 0.07
-Nodes (32): bi(), bn(), dn(), ee(), Ef(), er(), et(), fn() (+24 more)
-
 ### Community 56 - "report-ui.js"
 Cohesion: 0.50
 Nodes (7): build(), count(), fill(), focusOf(), numeric(), scalar(), wrinkleDetails()
@@ -331,11 +331,11 @@ Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()
 
 ### Community 58 - ".forwardInput"
 Cohesion: 0.14
-Nodes (12): height(), FaceLandmark68NetBase(), getSizesForScale(), nonMaxSuppression(), normalize$1(), rescaleAndNormalize(), scale(), SsdMobilenetv1() (+4 more)
+Nodes (15): computeReshapedDimensions(), extractBoundingBoxes(), getSizesForScale(), iou(), isEven(), nonMaxSuppression(), nonMaxSuppression$1(), normalize$1() (+7 more)
 
-### Community 61 - "extractAllFacesAndComputeResults"
-Cohesion: 0.31
-Nodes (4): extendWithFaceDescriptor(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet()
+### Community 61 - "报告布局与跟手交互调整"
+Cohesion: 0.40
+Nodes (4): 报告布局与跟手交互调整, 本次范围, 资源体积, 验证
 
 ### Community 62 - "提交前 Review（2026-10-11）"
 Cohesion: 0.40
@@ -353,9 +353,9 @@ Nodes (7): decode(), drain(), load(), preload(), start(), stopCur(), unlock()
 Cohesion: 0.29
 Nodes (7): 公网服务器配置, 公网真机验收清单, 反向代理与后台保护, 已完成的链路, 微信登录接入与公网部署说明, 数据、迁移与备份, 本机开发环境限制（不代表线上状态）
 
-### Community 66 - "FaceLandmarks"
-Cohesion: 0.06
-Nodes (24): conv(), conv$1(), convDown(), convLayer$1(), convNoRelu(), denseBlock3(), denseBlock4(), depthwiseSeparableConv() (+16 more)
+### Community 66 - "normalize"
+Cohesion: 0.08
+Nodes (28): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+20 more)
 
 ### Community 68 - "analyze-timeout.js"
 Cohesion: 0.20
@@ -366,23 +366,23 @@ Cohesion: 0.29
 Nodes (3): errors, samples, unexpectedWrites
 
 ### Community 71 - ".predictAgeAndGender"
-Cohesion: 0.18
-Nodes (5): age(), extendWithAge(), extendWithGender(), FaceExpressionNet(), PredictSingleAgeAndGenderTask()
+Cohesion: 0.29
+Nodes (5): age(), extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()
 
 ### Community 76 - "onPhotoCaptured"
 Cohesion: 0.18
 Nodes (15): busyWithFlow(), captureHaptic(), checkStill(), dropHint(), faceLuma(), faceOffsetX(), handleCamVisible(), hideCamStatus() (+7 more)
 
 ### Community 77 - ".runAndExtendWithFaceDetections"
-Cohesion: 0.18
-Nodes (8): DetectAllFacesTask(), DrawBox(), drawDetections(), DrawFaceLandmarks(), extendWithFaceDetection(), isWithFaceDetection(), isWithFaceLandmarks(), resizeResults()
+Cohesion: 0.15
+Nodes (11): DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions(), DrawFaceLandmarks(), extendWithFaceDetection(), FaceExpressions(), isWithFaceDetection() (+3 more)
 
 ### Community 78 - ".toString"
-Cohesion: 0.50
-Nodes (3): FaceMatch(), la(), pr()
+Cohesion: 0.12
+Nodes (11): FaceLandmarks5(), FaceMatch(), getCenterPoint(), la(), Point(), pr(), pt(), vt() (+3 more)
 
 ### Community 79 - "登录反馈与加载优化（2026-10-12）"
-Cohesion: 0.22
+Cohesion: 0.33
 Nodes (5): 体验变化, 公网部署后复测, 慢的原因与处理, 登录反馈与加载优化（2026-10-12）, 验证
 
 ### Community 80 - "线上微信登录部署记录"
@@ -402,7 +402,7 @@ Cohesion: 0.29
 Nodes (5): 10.09 新版 H5 实施与验收, 按确认项实现, 文档未定义部分的实施口径, 素材再生成, 验证命令
 
 ### Community 84 - "微信登录联调：2026-10-12"
-Cohesion: 0.33
+Cohesion: 0.22
 Nodes (6): 后续真机确认与体验优化, 微信登录联调：2026-10-12, 本轮修正, 白名单与凭据, 真实微信验收与排查, 自动验证
 
 ### Community 85 - "test/accounts.js"
@@ -426,8 +426,8 @@ Cohesion: 0.33
 Nodes (5): 公网部署与复测, 客户反馈修改（2026-10-12）, 皱纹数据说明, 逐项处理, 验证
 
 ### Community 93 - ".runAndExtendWithFaceDetection"
-Cohesion: 0.33
-Nodes (5): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), detectAllFaces(), DetectSingleFaceTask()
+Cohesion: 0.23
+Nodes (6): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), DetectAllFaceLandmarksTask(), detectAllFaces(), DetectSingleFaceTask()
 
 ### Community 94 - "第三轮反馈：PSD 对齐、验收及上线记录"
 Cohesion: 0.33
@@ -437,13 +437,9 @@ Nodes (5): 原稿与导出可追溯性, 已完成, 本地验证, 生产部署及
 Cohesion: 0.50
 Nodes (3): artifacts, errors, samples
 
-### Community 101 - "drawFaceExpressions"
-Cohesion: 0.50
-Nodes (3): drawFaceExpressions(), FaceExpressions(), isWithFaceExpressions()
-
-### Community 102 - "extractFaceTensors"
-Cohesion: 0.18
-Nodes (5): Box(), DetectAllFaceLandmarksTask(), extendWithFaceLandmarks(), extractFaceTensors(), isTensor3D()
+### Community 102 - "Box"
+Cohesion: 0.11
+Nodes (8): Box(), ComputeAllFaceDescriptorsTask(), extendWithFaceDescriptor(), extendWithFaceLandmarks(), FaceLandmarks(), isDimensions(), minBbox(), ObjectDetection()
 
 ### Community 107 - "基础信息记忆与肤质拖动"
 Cohesion: 0.33
@@ -461,27 +457,27 @@ Nodes (16): applyMirror(), bindBackdropClose(), closeLoginSuccess(), closeOverla
 Cohesion: 0.17
 Nodes (19): armNudge(), beginDetect(), captureFromVideo(), detectFrame(), detTick(), doCapture(), enableFallback(), hideNudge() (+11 more)
 
-### Community 111 - "k"
-Cohesion: 0.10
-Nodes (24): b(), ba(), ca(), cl(), da(), fa(), gn(), k() (+16 more)
+### Community 111 - "i"
+Cohesion: 0.07
+Nodes (36): b(), ba(), bn(), ca(), cl(), da(), dn(), ee() (+28 more)
 
 ### Community 112 - "showScreen"
 Cohesion: 0.22
 Nodes (11): loadAppFont(), loginAllowed(), loginBrowser(), loginSucceeded(), loginWechat(), openOverlay(), prepareScanArtwork(), renderAccountStatus() (+3 more)
 
 ## Knowledge Gaps
-- **311 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+306 more)
+- **314 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+309 more)
   These have ≤1 connection - possible missing edges or undocumented components.
-- **24 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
+- **25 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
 
 ## Suggested Questions
 _Questions this graph is uniquely positioned to answer:_
 
-- **Why does `v()` connect `n` to `report-ui.js`, `face-api.js`, `app.js`, `C`?**
-  _High betweenness centrality (0.047) - this node is a cross-community bridge._
-- **Why does `height()` connect `.forwardInput` to `app.js`, `customer-feedback.js`, `scan-placeholder.mjs`, `extractFaceTensors`, `extractFaces`, `showScreen`?**
+- **Why does `v()` connect `f` to `report-ui.js`, `face-api.js`, `app.js`, `C`?**
+  _High betweenness centrality (0.046) - this node is a cross-community bridge._
+- **Why does `height()` connect `height` to `app.js`, `customer-feedback.js`, `scan-placeholder.mjs`, `extractFaces`, `showScreen`, `.forwardInput`?**
   _High betweenness centrality (0.045) - this node is a cross-community bridge._
-- **Why does `k()` connect `k` to `face-api.js`, `app.js`, `n`, `lib/accounts.js`, `i`?**
+- **Why does `k()` connect `i` to `face-api.js`, `app.js`, `n`, `f`, `lib/accounts.js`, `C`?**
   _High betweenness centrality (0.040) - this node is a cross-community bridge._
 - **Are the 24 inferred relationships involving `n()` (e.g. with `newRecordId()` and `ae()`) actually correct?**
   _`n()` has 24 INFERRED edges - model-reasoned connections that need verification._
@@ -490,4 +486,4 @@ _Questions this graph is uniquely positioned to answer:_
 - **Are the 9 inferred relationships involving `i()` (e.g. with `da()` and `f()`) actually correct?**
   _`i()` has 9 INFERRED edges - model-reasoned connections that need verification._
 - **What connects `source`, `document_size`, `pages` to the rest of the system?**
-  _311 weakly-connected nodes found - possible documentation gaps or missing edges._
\ No newline at end of file
+  _314 weakly-connected nodes found - possible documentation gaps or missing edges._
\ No newline at end of file
diff --git a/graphify-out/graph.html b/graphify-out/graph.html
index 9b0fdf7..7f37410 100644
--- a/graphify-out/graph.html
+++ b/graphify-out/graph.html
@@ -63,12 +63,12 @@
     </div>
     <div id="legend"></div>
   </div>
-  <div id="stats">1439 nodes &middot; 2888 edges &middot; 117 communities</div>
+  <div id="stats">1444 nodes &middot; 2892 edges &middot; 117 communities</div>
 </div>
 <script>
-const RAW_NODES = [{"id": "design_ui_20261009_manifest", "label": "ui-20261009/manifest.json", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.3, "font": {"size": 0, "color": "#ffffff"}, "title": "ui-20261009/manifest.json", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 5}, {"id": "design_ui_20261009_manifest_source", "label": "source", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "source", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_document_size", "label": "document_size", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "document_size", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_pages", "label": "pages", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "pages", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_assets", "label": "assets", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "assets", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261009_manifest_layers", "label": "layers", "color": {"background": "#4E79A7", "border": "#4E79A7", "highlight": {"background": "#ffffff", "border": "#4E79A7"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "layers", "community": 30, "community_name": "ui-20261009/manifest.json", "source_file": "design/ui-20261009/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest", "label": "ui-20261012/manifest.json", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.5, "font": {"size": 0, "color": "#ffffff"}, "title": "ui-20261012/manifest.json", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 8}, {"id": "design_ui_20261012_manifest_source", "label": "source", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "source", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_source_sha256", "label": "source_sha256", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "source_sha256", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_document_size", "label": "document_size", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "document_size", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_native_header_px", "label": "native_header_px", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "native_header_px", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_design_scale", "label": "design_scale", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "design_scale", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_assets", "label": "assets", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "assets", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_text_styles", "label": "text_styles", "color": {"background": "#9C755F", "border": "#9C755F", "highlight": {"background": "#ffffff", "border": "#9C755F"}}, "size": 10.1, "font": {"size": 0, "color": "#ffffff"}, "title": "text_styles", "community": 88, "community_name": "ui-20261012/manifest.json", "source_file": "design/ui-20261012/manifest.json", "file_type": "code", "degree": 1}, {"id": "design_ui_20261012_manifest_shape_metrics", 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 // HTML-escape helper — prevents XSS when injecting graph data into innerHTML
 function esc(s) {
diff --git a/graphify-out/graph.json b/graphify-out/graph.json
index 5c6d6dd..f4a56d8 100644
--- a/graphify-out/graph.json
+++ b/graphify-out/graph.json
@@ -1929,8 +1929,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_js_app_height",
-      "community": 58,
-      "community_name": ".forwardInput",
+      "community": 43,
+      "community_name": "height",
       "norm_label": "height()"
     },
     {
@@ -5891,7 +5891,7 @@
       "label": "drag()",
       "file_type": "code",
       "source_file": "h5/test/report-touch-layout.mjs",
-      "source_location": "L62",
+      "source_location": "L63",
       "_callable": true,
       "_origin": "ast",
       "id": "h5_test_report_touch_layout_drag",
@@ -5903,7 +5903,7 @@
       "label": "aligned()",
       "file_type": "code",
       "source_file": "h5/test/report-touch-layout.mjs",
-      "source_location": "L85",
+      "source_location": "L86",
       "_callable": true,
       "_origin": "ast",
       "id": "h5_test_report_touch_layout_aligned",
@@ -6227,8 +6227,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_t",
-      "community": 55,
-      "community_name": "i",
+      "community": 5,
+      "community_name": "n",
       "norm_label": "t()"
     },
     {
@@ -6239,8 +6239,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_a",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "a()"
     },
     {
@@ -6251,7 +6251,7 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_i",
-      "community": 55,
+      "community": 111,
       "community_name": "i",
       "norm_label": "i()"
     },
@@ -6263,8 +6263,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_l",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "l()"
     },
     {
@@ -6275,8 +6275,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_h",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "h()"
     },
     {
@@ -6287,8 +6287,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_f",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "f()"
     },
     {
@@ -6299,8 +6299,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_d",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "d()"
     },
     {
@@ -6311,8 +6311,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_p",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "p()"
     },
     {
@@ -6323,8 +6323,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_v",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "v()"
     },
     {
@@ -6335,8 +6335,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_m",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
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-      "community_name": "FaceLandmarks",
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-      "community_name": "FaceLandmarks",
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-      "community_name": "i",
+      "community": 5,
+      "community_name": "n",
       "norm_label": "td()"
     },
     {
@@ -8651,8 +8651,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_drawcontour",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "drawcontour()"
     },
     {
@@ -8700,7 +8700,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_spreadarrays",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": "__spreadarrays()"
     },
     {
@@ -8736,7 +8736,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_istensor",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "istensor()"
     },
     {
@@ -8748,7 +8748,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_istensor1d",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "istensor1d()"
     },
     {
@@ -8760,7 +8760,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_istensor2d",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "istensor2d()"
     },
     {
@@ -8771,8 +8771,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_istensor3d",
-      "community": 102,
-      "community_name": "extractFaceTensors",
+      "community": 15,
+      "community_name": "extractFaces",
       "norm_label": "istensor3d()"
     },
     {
@@ -8807,8 +8807,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_iseven",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 58,
+      "community_name": ".forwardInput",
       "norm_label": "iseven()"
     },
     {
@@ -8831,8 +8831,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_isdimensions",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": "isdimensions()"
     },
     {
@@ -8843,8 +8843,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_computereshapeddimensions",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 58,
+      "community_name": ".forwardInput",
       "norm_label": "computereshapeddimensions()"
     },
     {
@@ -8855,8 +8855,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_getcenterpoint",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": "getcenterpoint()"
     },
     {
@@ -8903,8 +8903,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": "point()"
     },
     {
@@ -8915,8 +8915,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_add",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".add()"
     },
     {
@@ -8927,8 +8927,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_sub",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".sub()"
     },
     {
@@ -8939,8 +8939,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_mul",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".mul()"
     },
     {
@@ -8952,7 +8952,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_div",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": ".div()"
     },
     {
@@ -8963,8 +8963,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_abs",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".abs()"
     },
     {
@@ -8975,8 +8975,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_magnitude",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".magnitude()"
     },
     {
@@ -8987,8 +8987,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_point_floor",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".floor()"
     },
     {
@@ -9000,7 +9000,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box",
       "community": 102,
-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
       "norm_label": "box()"
     },
     {
@@ -9011,8 +9011,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_round",
-      "community": 3,
-      "community_name": "skin-score.js",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".round()"
     },
     {
@@ -9024,7 +9024,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_floor",
       "community": 102,
-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
       "norm_label": ".floor()"
     },
     {
@@ -9048,7 +9048,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_rescale",
       "community": 102,
-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
       "norm_label": ".rescale()"
     },
     {
@@ -9059,8 +9059,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_pad",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".pad()"
     },
     {
@@ -9072,7 +9072,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_clipatimageborders",
       "community": 102,
-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
       "norm_label": ".clipatimageborders()"
     },
     {
@@ -9084,7 +9084,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_shift",
       "community": 102,
-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
       "norm_label": ".shift()"
     },
     {
@@ -9096,7 +9096,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_box_padatborders",
       "community": 102,
-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
       "norm_label": ".padatborders()"
     },
     {
@@ -9131,8 +9131,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_objectdetection",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": "objectdetection()"
     },
     {
@@ -9143,8 +9143,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_objectdetection_forsize",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".forsize()"
     },
     {
@@ -9179,8 +9179,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_iou",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 58,
+      "community_name": ".forwardInput",
       "norm_label": "iou()"
     },
     {
@@ -9191,8 +9191,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_minbbox",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": "minbbox()"
     },
     {
@@ -9216,7 +9216,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_normalize",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": "normalize()"
     },
     {
@@ -9251,8 +9251,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_sigmoid",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 43,
+      "community_name": "height",
       "norm_label": "sigmoid()"
     },
     {
@@ -9287,8 +9287,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": "facelandmarks()"
     },
     {
@@ -9299,8 +9299,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_forsize",
-      "community": 77,
-      "community_name": ".runAndExtendWithFaceDetections",
+      "community": 15,
+      "community_name": "extractFaces",
       "norm_label": ".forsize()"
     },
     {
@@ -9311,8 +9311,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_shiftby",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".shiftby()"
     },
     {
@@ -9323,8 +9323,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_shiftbypoint",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".shiftbypoint()"
     },
     {
@@ -9335,8 +9335,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_align",
-      "community": 61,
-      "community_name": "extractAllFacesAndComputeResults",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".align()"
     },
     {
@@ -9347,8 +9347,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_aligndlib",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".aligndlib()"
     },
     {
@@ -9359,8 +9359,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_alignminbbox",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".alignminbbox()"
     },
     {
@@ -9371,8 +9371,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks_getrefpointsforalignment",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": ".getrefpointsforalignment()"
     },
     {
@@ -9383,8 +9383,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks5",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": "facelandmarks5()"
     },
     {
@@ -9395,8 +9395,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks5_getrefpointsforalignment",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 78,
+      "community_name": ".toString",
       "norm_label": ".getrefpointsforalignment()"
     },
     {
@@ -9407,8 +9407,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": "facelandmarks68()"
     },
     {
@@ -9419,8 +9419,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getjawoutline",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getjawoutline()"
     },
     {
@@ -9431,8 +9431,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getlefteyebrow",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getlefteyebrow()"
     },
     {
@@ -9443,8 +9443,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getrighteyebrow",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getrighteyebrow()"
     },
     {
@@ -9455,8 +9455,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getnose",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getnose()"
     },
     {
@@ -9467,8 +9467,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getlefteye",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getlefteye()"
     },
     {
@@ -9479,8 +9479,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getrighteye",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getrighteye()"
     },
     {
@@ -9491,8 +9491,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getmouth",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getmouth()"
     },
     {
@@ -9503,8 +9503,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmarks68_getrefpointsforalignment",
-      "community": 66,
-      "community_name": "FaceLandmarks",
+      "community": 55,
+      "community_name": "FaceLandmarks68",
       "norm_label": ".getrefpointsforalignment()"
     },
     {
@@ -9551,8 +9551,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_labeledfacedescriptors",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": "labeledfacedescriptors()"
     },
     {
@@ -9563,8 +9563,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_labeledfacedescriptors_tojson",
-      "community": 5,
-      "community_name": "n",
+      "community": 6,
+      "community_name": "f",
       "norm_label": ".tojson()"
     },
     {
@@ -9659,8 +9659,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_isnodejs",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 15,
+      "community_name": "extractFaces",
       "norm_label": "isnodejs()"
     },
     {
@@ -9719,8 +9719,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_resolveinput",
-      "community": 0,
-      "community_name": "face-api.js",
+      "community": 15,
+      "community_name": "extractFaces",
       "norm_label": "resolveinput()"
     },
     {
@@ -9887,8 +9887,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_buffertoimage",
-      "community": 15,
-      "community_name": "extractFaces",
+      "community": 9,
+      "community_name": "__awaiter",
       "norm_label": "buffertoimage()"
     },
     {
@@ -10079,8 +10079,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_extractfacetensors",
-      "community": 102,
-      "community_name": "extractFaceTensors",
+      "community": 15,
+      "community_name": "extractFaces",
       "norm_label": "extractfacetensors()"
     },
     {
@@ -10151,8 +10151,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_loadweightmap",
-      "community": 9,
-      "community_name": "__awaiter",
+      "community": 22,
+      "community_name": ".loadFromDisk",
       "norm_label": "loadweightmap()"
     },
     {
@@ -10307,8 +10307,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_neuralnetwork_loadfromuri",
-      "community": 9,
-      "community_name": "__awaiter",
+      "community": 22,
+      "community_name": ".loadFromDisk",
       "norm_label": ".loadfromuri()"
     },
     {
@@ -10368,7 +10368,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_depthwiseseparableconv",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": "depthwiseseparableconv()"
     },
     {
@@ -10380,7 +10380,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_denseblock3",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": "denseblock3()"
     },
     {
@@ -10392,7 +10392,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_denseblock4",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": "denseblock4()"
     },
     {
@@ -10403,8 +10403,8 @@
       "_callable": true,
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_convlayer",
-      "community": 43,
-      "community_name": "AgeGenderNet",
+      "community": 66,
+      "community_name": "normalize",
       "norm_label": "convlayer()"
     },
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@@ -10416,7 +10416,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_disposeunusedweighttensors",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "disposeunusedweighttensors()"
     },
     {
@@ -10476,7 +10476,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_loadseparableconvparamsfactory",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "loadseparableconvparamsfactory()"
     },
     {
@@ -10488,7 +10488,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_extractweightentryfactory",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "extractweightentryfactory()"
     },
     {
@@ -10536,7 +10536,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_loadconvparamsfactory",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "loadconvparamsfactory()"
     },
     {
@@ -10548,7 +10548,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_loadparamsfactory",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "loadparamsfactory()"
     },
     {
@@ -10560,7 +10560,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_extractparamsfromweigthmap",
       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -10572,7 +10572,7 @@
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -10584,7 +10584,7 @@
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       "id": "h5_vendor_faceapi_face_api_facefeatureextractor_forwardinput",
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -10608,7 +10608,7 @@
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       "id": "h5_vendor_faceapi_face_api_facefeatureextractor_getdefaultmodelname",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": ".getdefaultmodelname()"
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@@ -10620,7 +10620,7 @@
       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facefeatureextractor_extractparamsfromweigthmap",
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -10643,8 +10643,8 @@
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       "_origin": "ast",
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-      "community": 43,
-      "community_name": "AgeGenderNet",
+      "community": 66,
+      "community_name": "normalize",
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@@ -10655,8 +10655,8 @@
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       "_origin": "ast",
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-      "community_name": "NeuralNetwork",
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+      "community_name": "AgeGenderNet",
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@@ -10668,7 +10668,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -10680,7 +10680,7 @@
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-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -10703,7 +10703,7 @@
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       "community_name": "AgeGenderNet",
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@@ -10715,7 +10715,7 @@
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       "community_name": "AgeGenderNet",
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@@ -10727,7 +10727,7 @@
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@@ -10739,7 +10739,7 @@
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@@ -10751,7 +10751,7 @@
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@@ -10763,7 +10763,7 @@
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@@ -10775,8 +10775,8 @@
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-      "community_name": "drawFaceExpressions",
+      "community": 77,
+      "community_name": ".runAndExtendWithFaceDetections",
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@@ -10787,8 +10787,8 @@
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-      "community": 101,
-      "community_name": "drawFaceExpressions",
+      "community": 77,
+      "community_name": ".runAndExtendWithFaceDetections",
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@@ -10799,8 +10799,8 @@
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       "_origin": "ast",
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-      "community": 71,
-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -10811,8 +10811,8 @@
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-      "community": 71,
-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -10847,8 +10847,8 @@
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-      "community": 71,
-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -10859,8 +10859,8 @@
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       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_faceexpressionnet_getclassifierchannelsin",
-      "community": 71,
-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -10871,8 +10871,8 @@
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-      "community": 71,
-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -10883,8 +10883,8 @@
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-      "community": 101,
-      "community_name": "drawFaceExpressions",
+      "community": 77,
+      "community_name": ".runAndExtendWithFaceDetections",
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@@ -10907,8 +10907,8 @@
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       "_origin": "ast",
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-      "community": 101,
-      "community_name": "drawFaceExpressions",
+      "community": 77,
+      "community_name": ".runAndExtendWithFaceDetections",
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@@ -10932,7 +10932,7 @@
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-      "community_name": "extractFaceTensors",
+      "community_name": "Box",
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@@ -11016,7 +11016,7 @@
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-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -11028,7 +11028,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -11040,7 +11040,7 @@
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-      "community_name": "FaceLandmarks",
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@@ -11052,7 +11052,7 @@
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-      "community_name": "FaceLandmarks",
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@@ -11064,7 +11064,7 @@
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-      "community_name": "FaceLandmarks",
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@@ -11075,8 +11075,8 @@
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       "_origin": "ast",
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-      "community_name": "NeuralNetwork",
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+      "community_name": "normalize",
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@@ -11088,7 +11088,7 @@
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11111,8 +11111,8 @@
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       "id": "h5_vendor_faceapi_face_api_tinyxception_getdefaultmodelname",
-      "community": 26,
-      "community_name": "NeuralNetwork",
+      "community": 66,
+      "community_name": "normalize",
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@@ -11123,8 +11123,8 @@
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-      "community_name": "NeuralNetwork",
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+      "community_name": "normalize",
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+      "community_name": "AgeGenderNet",
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@@ -11171,7 +11171,7 @@
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@@ -11183,8 +11183,8 @@
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       "id": "h5_vendor_faceapi_face_api_agegendernet_runnet",
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-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -11195,8 +11195,8 @@
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-      "community": 71,
-      "community_name": ".predictAgeAndGender",
+      "community": 21,
+      "community_name": "AgeGenderNet",
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@@ -11231,7 +11231,7 @@
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       "community_name": "AgeGenderNet",
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@@ -11255,7 +11255,7 @@
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       "community_name": "AgeGenderNet",
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@@ -11267,7 +11267,7 @@
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       "community_name": "AgeGenderNet",
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@@ -11280,7 +11280,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -11291,7 +11291,7 @@
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+      "community": 21,
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@@ -11303,8 +11303,8 @@
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       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facelandmark68netbase",
-      "community": 58,
-      "community_name": ".forwardInput",
+      "community": 43,
+      "community_name": "height",
       "norm_label": "facelandmark68netbase()"
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@@ -11315,8 +11315,8 @@
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       "id": "h5_vendor_faceapi_face_api_facelandmark68netbase_postprocess",
-      "community": 58,
-      "community_name": ".forwardInput",
+      "community": 43,
+      "community_name": "height",
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@@ -11327,8 +11327,8 @@
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       "id": "h5_vendor_faceapi_face_api_facelandmark68netbase_forwardinput",
-      "community": 58,
-      "community_name": ".forwardInput",
+      "community": 43,
+      "community_name": "height",
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@@ -11363,7 +11363,7 @@
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       "_origin": "ast",
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+      "community": 21,
       "community_name": "AgeGenderNet",
       "norm_label": ".getclassifierchannelsout()"
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@@ -11412,7 +11412,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "extractparamsfromweigthmaptiny()"
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@@ -11435,8 +11435,8 @@
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       "_origin": "ast",
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-      "community": 26,
-      "community_name": "NeuralNetwork",
+      "community": 66,
+      "community_name": "normalize",
       "norm_label": "tinyfacefeatureextractor()"
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@@ -11448,7 +11448,7 @@
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       "id": "h5_vendor_faceapi_face_api_tinyfacefeatureextractor_forwardinput",
       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
       "norm_label": ".forwardinput()"
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@@ -11471,8 +11471,8 @@
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       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_tinyfacefeatureextractor_getdefaultmodelname",
-      "community": 26,
-      "community_name": "NeuralNetwork",
+      "community": 66,
+      "community_name": "normalize",
       "norm_label": ".getdefaultmodelname()"
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@@ -11484,7 +11484,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -11507,7 +11507,7 @@
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+      "community": 21,
       "community_name": "AgeGenderNet",
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@@ -11519,7 +11519,7 @@
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       "_origin": "ast",
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+      "community": 21,
       "community_name": "AgeGenderNet",
       "norm_label": ".getdefaultmodelname()"
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@@ -11531,7 +11531,7 @@
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       "_origin": "ast",
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+      "community": 21,
       "community_name": "AgeGenderNet",
       "norm_label": ".getclassifierchannelsin()"
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@@ -11568,7 +11568,7 @@
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       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11580,7 +11580,7 @@
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       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11592,7 +11592,7 @@
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       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11604,7 +11604,7 @@
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       "community": 66,
-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11640,7 +11640,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "extractorsfactory$3()"
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@@ -11652,7 +11652,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
       "norm_label": "extractparamsfromweigthmap$4()"
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@@ -11664,7 +11664,7 @@
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11676,7 +11676,7 @@
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11687,8 +11687,8 @@
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       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_facerecognitionnet",
-      "community": 61,
-      "community_name": "extractAllFacesAndComputeResults",
+      "community": 9,
+      "community_name": "__awaiter",
       "norm_label": "facerecognitionnet()"
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@@ -11700,7 +11700,7 @@
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-      "community_name": "FaceLandmarks",
+      "community_name": "normalize",
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@@ -11723,8 +11723,8 @@
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-      "community": 61,
-      "community_name": "extractAllFacesAndComputeResults",
+      "community": 9,
+      "community_name": "__awaiter",
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@@ -11735,8 +11735,8 @@
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       "id": "h5_vendor_faceapi_face_api_facerecognitionnet_getdefaultmodelname",
-      "community": 61,
-      "community_name": "extractAllFacesAndComputeResults",
+      "community": 9,
+      "community_name": "__awaiter",
       "norm_label": ".getdefaultmodelname()"
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@@ -11748,7 +11748,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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@@ -11783,8 +11783,8 @@
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       "_origin": "ast",
       "id": "h5_vendor_faceapi_face_api_extendwithfacedescriptor",
-      "community": 61,
-      "community_name": "extractAllFacesAndComputeResults",
+      "community": 102,
+      "community_name": "Box",
       "norm_label": "extendwithfacedescriptor()"
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@@ -11880,7 +11880,7 @@
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       "community": 21,
-      "community_name": "disposeUnusedWeightTensors",
+      "community_name": "AgeGenderNet",
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-      "community_name": "AgeGenderNet",
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+      "community": 84,
+      "community_name": "\u5fae\u4fe1\u767b\u5f55\u8054\u8c03\uff1a2026-10-12",
       "norm_label": "\u5fae\u4fe1\u767b\u5f55\u8054\u8c03-2026-10-12.md"
     },
     {
@@ -15689,6 +15689,61 @@
       "community_name": "\u5fae\u4fe1\u767b\u5f55\u8054\u8c03\uff1a2026-10-12",
       "norm_label": "\u771f\u5b9e\u5fae\u4fe1\u9a8c\u6536\u4e0e\u6392\u67e5"
     },
+    {
+      "label": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "file_type": "document",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L1",
+      "_origin": "ast",
+      "id": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12",
+      "community": 61,
+      "community_name": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "norm_label": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md"
+    },
+    {
+      "label": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "file_type": "document",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L1",
+      "_origin": "ast",
+      "id": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "community": 61,
+      "community_name": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "norm_label": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574"
+    },
+    {
+      "label": "\u672c\u6b21\u8303\u56f4",
+      "file_type": "document",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L3",
+      "_origin": "ast",
+      "id": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u672c\u6b21\u8303\u56f4",
+      "community": 61,
+      "community_name": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "norm_label": "\u672c\u6b21\u8303\u56f4"
+    },
+    {
+      "label": "\u8d44\u6e90\u4f53\u79ef",
+      "file_type": "document",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L12",
+      "_origin": "ast",
+      "id": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u8d44\u6e90\u4f53\u79ef",
+      "community": 61,
+      "community_name": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "norm_label": "\u8d44\u6e90\u4f53\u79ef"
+    },
+    {
+      "label": "\u9a8c\u8bc1",
+      "file_type": "document",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L23",
+      "_origin": "ast",
+      "id": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u9a8c\u8bc1",
+      "community": 61,
+      "community_name": "\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "norm_label": "\u9a8c\u8bc1"
+    },
     {
       "label": "\u62a5\u544a\u7b49\u5f85\u9875\u5b9e\u62cd\u80cc\u666f-2026-10-12.md",
       "file_type": "document",
@@ -15839,8 +15894,8 @@
       "source_location": "L1",
       "_origin": "ast",
       "id": "docs_\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55_2026_10_11",
-      "community": 79,
-      "community_name": "\u767b\u5f55\u53cd\u9988\u4e0e\u52a0\u8f7d\u4f18\u5316\uff082026-10-12\uff09",
+      "community": 84,
+      "community_name": "\u5fae\u4fe1\u767b\u5f55\u8054\u8c03\uff1a2026-10-12",
       "norm_label": "\u7ebf\u4e0a\u5fae\u4fe1\u767b\u5f55\u90e8\u7f72\u8bb0\u5f55-2026-10-11.md"
     },
     {
@@ -27768,7 +27823,7 @@
       "relation": "contains",
       "confidence": "EXTRACTED",
       "source_file": "h5/test/report-touch-layout.mjs",
-      "source_location": "L85",
+      "source_location": "L86",
       "weight": 1.0,
       "_origin": "ast",
       "source": "h5_test_report_touch_layout",
@@ -27779,7 +27834,7 @@
       "relation": "contains",
       "confidence": "EXTRACTED",
       "source_file": "h5/test/report-touch-layout.mjs",
-      "source_location": "L62",
+      "source_location": "L63",
       "weight": 1.0,
       "_origin": "ast",
       "source": "h5_test_report_touch_layout",
@@ -49196,6 +49251,50 @@
       "target": "docs_\u5fae\u4fe1\u767b\u5f55\u8054\u8c03_2026_10_12_\u81ea\u52a8\u9a8c\u8bc1",
       "confidence_score": 1.0
     },
+    {
+      "relation": "contains",
+      "confidence": "EXTRACTED",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L1",
+      "weight": 1.0,
+      "_origin": "ast",
+      "source": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12",
+      "target": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "confidence_score": 1.0
+    },
+    {
+      "relation": "contains",
+      "confidence": "EXTRACTED",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L3",
+      "weight": 1.0,
+      "_origin": "ast",
+      "source": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "target": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u672c\u6b21\u8303\u56f4",
+      "confidence_score": 1.0
+    },
+    {
+      "relation": "contains",
+      "confidence": "EXTRACTED",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L12",
+      "weight": 1.0,
+      "_origin": "ast",
+      "source": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "target": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u8d44\u6e90\u4f53\u79ef",
+      "confidence_score": 1.0
+    },
+    {
+      "relation": "contains",
+      "confidence": "EXTRACTED",
+      "source_file": "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md",
+      "source_location": "L23",
+      "weight": 1.0,
+      "_origin": "ast",
+      "source": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574",
+      "target": "docs_\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574_2026_10_12_\u9a8c\u8bc1",
+      "confidence_score": 1.0
+    },
     {
       "relation": "contains",
       "confidence": "EXTRACTED",
@@ -50177,5 +50276,5 @@
     }
   ],
   "hyperedges": [],
-  "built_at_commit": "bcf198ca6f8becf4efa055b3b2390b9425d38d5e"
+  "built_at_commit": "63c9e065a946f8ca70e108fd70ad2db23eb1ec6b"
 }
\ No newline at end of file
diff --git a/graphify-out/manifest.json b/graphify-out/manifest.json
index 0a29ade..818d2f2 100644
--- a/graphify-out/manifest.json
+++ b/graphify-out/manifest.json
@@ -1910,8 +1910,8 @@
     "semantic_hash": ""
   },
   "docs/\u62a5\u544a\u7b49\u5f85\u9875\u5b9e\u62cd\u80cc\u666f-2026-10-12.md": {
-    "mtime": 1791815038.0630124,
-    "ast_hash": "518dc04cd26577c59a14994f42fa65d6",
+    "mtime": 1791815348.6150107,
+    "ast_hash": "5e1c3161ecdeb5cf94988d1fdc814332",
     "semantic_hash": ""
   },
   "design/ui-20261012/delivery-optimization-20261012.json": {
@@ -1925,8 +1925,8 @@
     "semantic_hash": ""
   },
   "h5/test/report-touch-layout.mjs": {
-    "mtime": 1791815159.3550136,
-    "ast_hash": "b0967f039f8c1177dec801a03651c5dc",
+    "mtime": 1791816131.9590158,
+    "ast_hash": "8d8d8f76a50da655e7d577660c14579e",
     "semantic_hash": ""
   },
   "h5/test/scan-placeholder.mjs": {
@@ -1953,5 +1953,10 @@
     "mtime": 1791814981.5989842,
     "ast_hash": "949de309b645a513c695da5782de351c",
     "semantic_hash": ""
+  },
+  "docs/\u62a5\u544a\u5e03\u5c40\u4e0e\u8ddf\u624b\u4ea4\u4e92\u8c03\u6574-2026-10-12.md": {
+    "mtime": 1791815756.2269309,
+    "ast_hash": "97b6337ca9d46e521225c2d312e2efb7",
+    "semantic_hash": ""
   }
 }
\ No newline at end of file
diff --git a/h5/test/report-touch-layout.mjs b/h5/test/report-touch-layout.mjs
index 2f65166..63b22af 100644
--- a/h5/test/report-touch-layout.mjs
+++ b/h5/test/report-touch-layout.mjs
@@ -18,6 +18,7 @@ for (const asset of manifest.assets) {
 const browser = await chromium.launch({ headless: true });
 try {
   const page = await browser.newPage({ viewport: { width: 375, height: 726 }, isMobile: true, hasTouch: true });
+  page.setDefaultTimeout(60000); // Public-site cold font/fixture downloads may exceed 30s.
   const errors = [], writes = [];
   page.on('pageerror', e => errors.push(e.message));
   await page.route('**/*', route => {
@@ -26,7 +27,7 @@ try {
     if (req.url().endsWith('/api/auth/session')) return route.fulfill({ json: { ok: true, user: { id: 'report-touch-fixture', kind: 'browser' } } });
     return route.continue();
   });
-  await page.goto(base + '?mock=1&screen=report');
+  await page.goto(base + '?mock=1&screen=report', { waitUntil: 'domcontentloaded' });
   await page.waitForFunction(() => document.querySelector('#stat-score b').textContent !== '--' && [...document.querySelectorAll('.ditem-img')].every(i => !i.hidden && i.naturalWidth));
   await page.evaluate(async () => { await Promise.all([document.fonts.load('500 40px MiSans'), document.fonts.load('400 12px MiSans')]); });
   for (const width of [320, 375, 390, 414, 480]) {