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\"https://esm.town/v/std/blob/main.ts\";\nconst UA = { \"user-agent\": \"shashti/1.0 (personal media tracker)\" };\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst KEY = \"corpus_v2\";\n\nconst HEADS = \"Plot|Synopsis|Premise|Plot summary|Story|Storyline|Trama|Sinossi|Argumento|Sinopsis|\" +\n \"Intrigue|Handlung|Enredo|Fabuła|Сюжет|あらすじ|줄거리|剧情|劇情|قصة|الحبكة|ملخص|Résumé|Yarn\";\n\nasync function j(u: string) {\n try { const r = await fetch(u, { headers: UA, signal: AbortSignal.timeout(12000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\n\nasync function wikiPlot(lang: string, title: string) {\n const d = await j(`https://${lang}.wikipedia.org/w/api.php?action=query&prop=extracts&explaintext=1&format=json&redirects=1&titles=${encodeURIComponent(title)}`);\n const p: any = Object.values(d?.query?.pages || {})[0];\n const t = String(p?.extract || \"\");\n if (t.length < 200) return \"\";\n const m = t.match(new 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n = Number(u.searchParams.get(\"n\") || \"10\");\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n let pool: any[] = [];\n if (band === \"tail\") pool = C.slice(C.length - 4000);\n else if (band === \"recent\") pool = C.filter(r => Number(r.year) >= 2024);\n else if (band === \"mid\") pool = C.slice(6000, 9000);\n else pool = C.slice(0, 400);\n\n const step = Math.max(1, Math.floor(pool.length / n));\n const sample = Array.from({ length: n }, (_, i) => pool[i * step]).filter(Boolean);\n\n const rows: string[] = [];\n let ok = 0, chars = 0;\n for (const r of sample) {\n const parts: string[] = [];\n let best = 0;\n\n /* أ) ويكيبيديا الإنجليزية عبر البحث لا التخمين */\n const en = await wikiFind(\"en\", r.title + \" \" + (r.kind === \"tv\" ? \"TV series\" : \"film\") + \" \" + r.year);\n if (en) { parts.push(\"wiki-en \" + en.len); best = Math.max(best, en.len); }\n\n /* ب) لغة العمل الأصلية — نجلبها من TMDB */\n if (!en) {\n const d = await j(`${SH}/tmdb/${r.kind}/${r.id}`);\n const lang = String(d?.original_language || \"\");\n const orig = String(d?.original_title || d?.original_name || r.title);\n if (lang && lang !== \"en\") {\n const w = await wikiFind(lang, orig);\n if (w) { parts.push(\"wiki-\" + lang + \" \" + w.len); best = Math.max(best, w.len); }\n }\n }\n\n /* ج) TVmaze للمسلسلات */\n if (r.kind === \"tv\") {\n const t = await tvmazeEps(r.title);\n if (t > 250) { parts.push(\"tvmaze \" + t); best = Math.max(best, t); }\n }\n\n if (best > 250) { ok++; chars += best; }\n rows.push(`${best > 250 ? \"✅\" : \"❌\"} ${r.title} (${r.year}) ${r.kind}${parts.length ? \" — \" + parts.join(\" · \") : \"\"}`);\n }\n\n return Response.json({\n الشريحة: band,\n التغطية: ok + \"/\" + sample.length + \" (\" + Math.round(ok / sample.length * 100) + \"٪)\",\n \"متوسط النص\": ok ? Math.round(chars / ok) + \" حرف\" : \"—\",\n التفصيل: rows,\n });\n}\n",[193],"935b47db-8b4c-4818-a3ef-8a323ac56370","webtest.ts","09a375c0-b0ba-11f1-80e7-1607ee4eb77e",120,["D",1789444849721],"/* اختبار حاسم: هل محرك البحث يعرف ما لا يعرفه أي ملخّص؟\n الحالات الثلاث التي فشلت بكل الصيغ الثماني. */\nconst RELAY = \"http://145.241.108.185:8899/fetch?url=\";\n\nconst CASES: [string, string][] = [\n [\"a movie about a man who runs all over america and has a strange life\", \"Forrest Gump\"],\n [\"a movie about a time machine car and a boy who goes back to the past and meets his parents\", \"Back to the Future\"],\n [\"a series about doctors in a hospital and love stories between them\", \"Grey's Anatomy\"],\n];\n\nasync function viaWarp(url: string) {\n const r = await fetch(RELAY + encodeURIComponent(url), { signal: AbortSignal.timeout(28000) });\n return await r.text();\n}\n\n/* نستخرج عناوين الأعمال من روابط IMDb وTMDB ونعدّ تكرار كل معرّف */\nfunction titlesFrom(html: string) {\n const ids = new Map();\n for (const m of html.matchAll(/imdb\\.com\\/title\\/(tt\\d+)/gi)) ids.set(m[1], (ids.get(m[1]) || 0) + 1);\n const names = new Map();\n for (const m of html.matchAll(/>([^<>{}]{3,60}?)\\s*\$(?:19|20)\\d{2}\$\\s*[-–—|]/g)) {\n const t = m[1].replace(/&/g, \"&\").trim();\n if (t.length > 2) names.set(t, (names.get(t) || 0) + 1);\n }\n return {\n imdbIds: [...ids.entries()].sort((a, b) => b[1] - a[1]).slice(0, 5),\n names: [...names.entries()].sort((a, b) => b[1] - a[1]).slice(0, 6),\n };\n}\n\nexport default async function (req: Request): Promise {\n const i = Number(new URL(req.url).searchParams.get(\"i\") || \"0\");\n const [q, expect] = CASES[i] || CASES[0];\n const out: any = { الوصف: q, المتوقَّع: expect };\n\n for (const [name, url] of [\n [\"duckduckgo\", \"https://html.duckduckgo.com/html/?q=\" + encodeURIComponent(q)],\n [\"brave\", \"https://search.brave.com/search?q=\" + encodeURIComponent(q)],\n ] as [string, string][]) {\n try {\n const html = await viaWarp(url);\n const f = titlesFrom(html);\n out[name] = {\n حجم: html.length,\n \"يذكر المطلوب\": new RegExp(expect.replace(/[.*+?^${}()|[\\]\\\\]/g, \"\\\\$&\"), \"i\").test(html) ? \"✅ نعم\" : \"❌ لا\",\n عناوين: f.names.map(([t, c]) => `${t} (${c})`),\n معرّفات: f.imdbIds.map(([id, c]) => `${id} (${c})`),\n };\n } catch (e) { out[name] = \"ERR \" + String(e).slice(0, 100); }\n }\n return Response.json(out);\n}\n",[201],"ef518a57-29e4-48fb-a5c6-cd250b1ec999","webengine.ts","d2e0b0f2-aff6-11f1-8fd8-1607ee4eb77e",64,["D",1789361062685],3,"script","/* أنبوب متعدد المحركات عبر WARP + ياندكس من أوراكل — نسخة قابلة للقياس */\nconst RELAY = \"http://145.241.108.185:8899/fetch?url=\";\nconst SEARX = \"http://145.241.108.185:8888/search\";\nconst SHASHTI = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nconst NOISE = [\"imdb\", \"rotten tomatoes\", \"letterboxd\", \"netflix\", \"wikipedia\", \"youtube\", \"metacritic\",\n \"justwatch\", \"prime video\", \"reddit\", \"trailer\", \"official trailer\", \"movie review\", \"watch online\",\n \"plot summary\", \"the movie database\", \"tmdb\", \"fandom\", \"quotes\", \"ending explained\", \"best movies\",\n \"list of films\", \"similar movies\", \"cast and crew\", \"images\", \"videos\", \"news\", \"maps\", \"settings\", \"sign in\"];\n\n/* ⚠️ روابط تنقّل داخل صفحة العمل (\"Plot\" · \"CAST\" · \"Episodes\") كانت تدخل كمرشَّحين\n وتزيح العمل الصحيح — مقاس: Dark سقط و\"Overview\" و\"Family Tree\" أخذا مكانه. */\nconst NAV = new Set((\"plot cast crew overview episodes episode seasons season videos photos images news \" +\n \"awards trivia quotes reviews review details summary synopsis soundtrack goofs connections \" +\n \"full cast top rated watchlist share more home menu next previous back family tree production \" +\n \"the production line box office release info technical specs parents guide faq keywords \" +\n \"stream cast & crew user reviews external sites did you know\").split(\" \"));\nconst isNav = (t: string) => {\n const l = t.toLowerCase().trim();\n if (l.split(/\\s+/).length > 4) return false;\n return NAV.has(l) || l.split(/\\s+/).every(w => NAV.has(w));\n};\n\nfunction cleanTitle(raw: string): string {\n let t = String(raw || \"\").replace(/&/g, \"&\").replace(/'|'/g, \"'\").replace(/"/g, '\"')\n .replace(/ /g, \" \").replace(/</g, \"<\").replace(/>/g, \">\");\n t = t.split(/\\s+[-–|:]\\s+/)[0];\n t = t.replace(/\$(?:TV\\s+(?:Series|Mini[- ]?Series|Movie)\\s*)?\\d{4}(?:[–-]\\s*\\d{0,4})?\$/gi, \"\");\n t = t.replace(/[\"'“”‘’]/g, \"\").replace(/\\s+/g, \" \").trim();\n t = t.replace(/^(?:watch|stream)\\s+/i, \"\").trim();\n return t;\n}\nconst isNoise = (t: string) => {\n const l = t.toLowerCase();\n return l.length < 2 || l.length > 60 || NOISE.some(n => l === n || l.startsWith(n + \" \") || l.endsWith(\" \" + n));\n};\n\n/* مستخرِج عام: كل رابط+نص من أي صفحة نتائج — بدل محلّل مخصَّص لكل محرك\n (محلّل لكل محرك = أربع نقاط كسر مستقلة عند أي تغيير بتصميمهم) */\nfunction anchors(html: string): { url: string; title: string }[] {\n const out: { url: string; title: string }[] = [];\n const re = /]*href=[\"']([^\"']+)[\"'][^>]*>([\\s\\S]{0,300}?)<\\/a>/gi;\n let m: RegExpExecArray | null;\n while ((m = re.exec(html))) {\n let href = m[1];\n const text = m[2].replace(/<[^>]+>/g, \" \").replace(/\\s+/g, \" \").trim();\n if (!text || text.length < 2) continue;\n /* فك روابط التحويل: DuckDuckGo (uddg) وYahoo (RU) */\n const ud = href.match(/[?&]uddg=([^&]+)/); if (ud) href = decodeURIComponent(ud[1]);\n const ru = href.match(/[?&]RU=([^&]+)/); if (ru) href = decodeURIComponent(ru[1]);\n if (href.startsWith(\"//\")) href = \"https:\" + href;\n if (!/^https?:\\/\\//.test(href)) continue;\n out.push({ url: href, title: text });\n if (out.length > 400) break;\n }\n return out;\n}\n\nasync function viaWarp(url: string, ms = 25000) {\n const r = await fetch(RELAY + encodeURIComponent(url), { signal: AbortSignal.timeout(ms) });\n return await r.text();\n}\n\nconst ENGINES: Record Promise<{ url: string; title: string }[]>> = {\n /* ⚠️ lite.duckduckgo أعطى رابطاً واحداً فقط بالقياس — النسخة html أعطت ٣٣ك ونتائج كاملة */\n ddg: async q => anchors(await viaWarp(\"https://html.duckduckgo.com/html/?q=\" + encodeURIComponent(q))),\n brave: async q => anchors(await viaWarp(\"https://search.brave.com/search?q=\" + encodeURIComponent(q))),\n yahoo: async q => anchors(await viaWarp(\"https://search.yahoo.com/search?p=\" + encodeURIComponent(q))),\n yandex: async q => {\n const r = await fetch(SEARX + \"?format=json&engines=yandex&q=\" + encodeURIComponent(q), { signal: AbortSignal.timeout(22000) });\n const j = await r.json();\n return (j?.results || []).map((x: any) => ({ url: String(x.url || \"\"), title: String(x.title || \"\") }));\n },\n};\n\ntype C = { key: string; imdb?: string; title?: string; score: number; engines: Set };\n\nfunction harvest(map: Map, items: { url: string; title: string }[], eng: string) {\n const bump = (key: string, w: number, patch: Partial) => {\n let c = map.get(key);\n if (!c) { c = { key, score: 0, engines: new Set() }; map.set(key, c); }\n for (const k in patch) if ((patch as any)[k] != null && (c as any)[k] == null) (c as any)[k] = (patch as any)[k];\n c.score += w; c.engines.add(eng);\n };\n let rank = 0;\n const seenUrl = new Set();\n for (const it of items) {\n const bare = it.url.split(\"#\")[0].split(\"?\")[0];\n if (seenUrl.has(bare)) continue;\n seenUrl.add(bare);\n const tt = it.url.match(/imdb\\.com\\/title\\/(tt\\d+)/i);\n const known = /rottentomatoes\\.com|letterboxd\\.com|netflix\\.com|wikipedia\\.org|metacritic\\.com|justwatch\\.com|themoviedb\\.org/i.test(it.url);\n if (!tt && !known) continue;\n const t = cleanTitle(it.title);\n if (!t || isNav(t) || isNoise(t)) continue; /* روابط تنقّل لا نتائج */\n rank++;\n if (rank > 25) break;\n const w = 1 / rank;\n if (tt) bump(\"imdb:\" + tt[1], w * 3, { imdb: tt[1], title: t });\n else bump(\"name:\" + t.toLowerCase(), w * 2, { title: t });\n }\n}\n\nasync function tmdbFind(imdb: string) {\n const j = await fetch(SHASHTI + \"/tmdb/find/\" + imdb + \"?external_source=imdb_id\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null).catch(() => null);\n const mv = j?.movie_results?.[0], tv = j?.tv_results?.[0];\n if (mv) return { ...mv, _isMovie: true };\n if (tv) return { ...tv, _isMovie: false };\n return null;\n}\nasync function tmdbSearch(name: string) {\n const [m, t] = await Promise.all([\n fetch(SHASHTI + \"/tmdb/search/movie?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n fetch(SHASHTI + \"/tmdb/search/tv?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n ]);\n const norm = (s: any) => String(s || \"\").toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n const want = norm(name);\n const all = [...(m?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: true })),\n ...(t?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: false }))];\n const exact = all.filter(x => norm(x.title || x.name) === want || norm(x.original_title || x.original_name) === want);\n const pool = exact.length ? exact : all;\n pool.sort((a: any, b: any) => (b.popularity || 0) - (a.popularity || 0));\n return pool[0] || null;\n}\n\nexport async function search(rawText: string) {\n const t0 = Date.now();\n const dbg: any = {};\n let en = rawText.trim();\n if (/[\\u0600-\\u06FF]/.test(en)) {\n const tt = Date.now();\n try {\n const tr = await fetch(SHASHTI + \"/translate?q=\" + encodeURIComponent(en) + \"&target=en\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (tr?.text) en = String(tr.text);\n } catch { /* نكمل بالأصل */ }\n dbg.trMs = Date.now() - tt;\n }\n dbg.en = en;\n const q = en + \" movie or tv series\";\n\n const t1 = Date.now();\n const runs = await Promise.all(Object.entries(ENGINES).map(async ([name, fn]) => {\n const s = Date.now();\n try { const items = await fn(q); return { name, items, ms: Date.now() - s, err: \"\" }; }\n catch (e) { return { name, items: [] as any[], ms: Date.now() - s, err: String(e).slice(0, 60) }; }\n }));\n dbg.engines = runs.map(r => r.name + \":\" + r.items.length + \"/\" + r.ms + \"ms\" + (r.err ? \"!\" : \"\"));\n dbg.searchMs = Date.now() - t1;\n\n const map = new Map();\n for (const r of runs) harvest(map, r.items, r.name);\n\n const cands = [...map.values()]\n .map(c => ({ ...c, final: c.score * (1 + (c.engines.size - 1) * 1.3) }))\n .sort((a, b) => b.final - a.final).slice(0, 6);\n dbg.cands = cands.map(c => c.title + \"[\" + [...c.engines].join(\"+\") + \"·\" + c.final.toFixed(2) + \"]\");\n\n const t2 = Date.now();\n const resolved = await Promise.all(cands.map(async c => {\n try { return { c, hit: c.imdb ? await tmdbFind(c.imdb) : (c.title ? await tmdbSearch(c.title) : null) }; }\n catch { return { c, hit: null as any }; }\n }));\n dbg.tmdbMs = Date.now() - t2;\n\n const items: any[] = [], seen = new Set();\n for (const { c, hit } of resolved) {\n if (!hit?.id || seen.has(hit.id)) continue;\n seen.add(hit.id);\n items.push({\n id: hit.id, imdb: c.imdb || null, isMovie: !!hit._isMovie,\n title: hit.title || hit.name || c.title,\n year: String(hit.release_date || hit.first_air_date || \"\").slice(0, 4) || null,\n poster: hit.poster_path ? \"https://image.tmdb.org/t/p/w185\" + hit.poster_path : null,\n overview: hit.overview || \"\", rating: hit.vote_average ? Math.round(hit.vote_average * 10) / 10 : null,\n engines: [...c.engines], engineCount: c.engines.size,\n });\n }\n dbg.ms = Date.now() - t0;\n return { items: items.slice(0, 4), debug: dbg };\n}\n",[208],"51294a3d-0090-4b67-8119-46b2c79ef3e1","webbench.ts","da23a41e-aff6-11f1-a6e0-1607ee4eb77e",61,["D",1789361018151],"import { search } from \"./webengine.ts\";\n\nconst CASES: [string, string][] = [\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"quiet place\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"^dark$\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"inception\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"squid game\"],\n [\"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\", \"severance\"],\n [\"فلم عن ولد صغير يقدر يشوف الأموات\", \"sixth sense\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"^up$\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"groundhog\"],\n [\"فلم عن محامي يشتغل من سيارته\", \"lincoln lawyer\"],\n [\"مسلسل عن مدرس كيمياء يصير يصنع مخدرات\", \"breaking bad\"],\n];\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const i = Number(url.searchParams.get(\"i\") || \"0\");\n const n = Number(url.searchParams.get(\"n\") || \"2\");\n const rows: any[] = [];\n for (const [q, expect] of CASES.slice(i, i + n)) {\n try {\n const r = await search(q);\n const titles = (r.items || []).map((x: any) => String(x.title || \"\"));\n const re = new RegExp(expect, \"i\");\n rows.push({\n q, expect,\n rank: titles.findIndex(t => re.test(t)),\n top: titles,\n eng: r.debug.engines,\n ms: r.debug.ms, trMs: r.debug.trMs, searchMs: r.debug.searchMs, tmdbMs: r.debug.tmdbMs,\n });\n } catch (e) { rows.push({ q, err: String(e).slice(0, 200) }); }\n }\n return Response.json(rows);\n}\n",[217],"81e25c0f-e5da-4588-b1c3-20f70d247f27","tune.ts","89a1914a-b019-11f1-af1b-1607ee4eb77e",80,["D",1789375915472],"/* تجربة تحسينات مستقلة — كل واحد يُقاس وحده ثم مدموجاً */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nconst tok = (s: string) => (s || \"\").toLowerCase().match(/[a-z0-9]+/g) || [];\n\n/* كلمات الاستعلام الشائعة: \"a movie about a man who...\" — تضيف ضجيجاً بلا تمييز */\nconst QSTOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been about \" +\n \"after who that this its their he she it they them his her one two three new old can could must \" +\n \"movie film series show tv season episode story man woman boy girl people thing\").split(\" \"));\n\nfunction buildBM25(docs: string[][]) {\n const N = docs.length;\n const df = new Map();\n for (const d of docs) for (const w of new Set(d)) df.set(w, (df.get(w) || 0) + 1);\n const len = docs.map(d => d.length);\n const avg = len.reduce((a, b) => a + b, 0) / N;\n const tf = docs.map(d => { const m = new Map(); for (const w of d) m.set(w, (m.get(w) || 0) + 1); return m; });\n const k1 = 1.5, b = 0.75;\n const score = (q: string[]) => {\n const s = new Float64Array(N);\n for (const w of q) {\n const n = df.get(w); if (!n) continue;\n const idf = Math.log(1 + (N - n + 0.5) / (n + 0.5));\n for (let i = 0; i < N; i++) {\n const f = tf[i].get(w); if (!f) continue;\n s[i] += idf * (f * (k1 + 1)) / (f + k1 * (1 - b + b * len[i] / avg));\n }\n }\n return s;\n };\n return { score, tf, df, N };\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"45\");\n\n const C: any[] = (await blob.getJSON(\"imdbcorpus_v1\")) as any[] || [];\n const titles = C.map(r => String(r.title || \"\"));\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n const isTv = C.map(r => r.kind === \"tv\");\n\n const docs = C.map(r => tok(r.ov + \" \" + (r.plots || []).join(\" \")));\n const bm = buildBM25(docs);\n\n /* الشعبية معيارية لوغاريتمية */\n const rawPop = C.map(r => Math.log10(10 + (r.pop || 0)));\n const pMin = Math.min(...rawPop), pMax = Math.max(...rawPop);\n const POP = rawPop.map(x => (x - pMin) / ((pMax - pMin) || 1));\n\n const n01 = (s: Float64Array) => {\n let mn = Infinity, mx = -Infinity;\n for (const v of s) { if (v < mn) mn = v; if (v > mx) mx = v; }\n const d = (mx - mn) || 1;\n const o = new Float64Array(s.length);\n for (let i = 0; i < s.length; i++) o[i] = (s[i] - mn) / d;\n return o;\n };\n\n const rows: any[] = [];\n const V = [\"أساس\", \"بلا كلمات شائعة\", \"+شعبية\", \"+نوع\", \"+توسيع تلقائي\", \"الكل مدموج\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n let en = ar;\n if (/[\\u0600-\\u06FF]/.test(ar)) {\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل */ }\n }\n const qRaw = tok(en);\n const qClean = qRaw.filter(w => !QSTOP.has(w) && w.length > 2);\n const q = qClean.length >= 2 ? qClean : qRaw;\n\n /* نية النوع من نص المستخدم الأصلي (عربي أو إنجليزي) */\n const wantsTv = /مسلسل|series|show|season/i.test(ar);\n const wantsMovie = /فلم|فيلم|movie|film/i.test(ar) && !wantsTv;\n\n const base = bm.score(qRaw);\n const clean = bm.score(q);\n\n /* توسيع تلقائي: نأخذ أهم كلمات أفضل ٥ نتائج ونعيد البحث بها (RM3 مبسّط) */\n const top5 = Array.from(clean.keys()).sort((a, b) => clean[b] - clean[a]).slice(0, 5);\n const cnt = new Map();\n for (const i of top5) for (const w of new Set(docs[i])) {\n if (QSTOP.has(w) || w.length <= 3) continue;\n const n = bm.df.get(w) || 0;\n if (n > bm.N * 0.05) continue; /* كلمة عامة جداً */\n cnt.set(w, (cnt.get(w) || 0) + 1);\n }\n const extra = [...cnt.entries()].filter(([, c]) => c >= 3).sort((a, b) => b[1] - a[1]).slice(0, 8).map(([w]) => w);\n const expanded = bm.score(q.concat(extra));\n\n const variants: Record = {};\n variants[\"أساس\"] = base;\n variants[\"بلا كلمات شائعة\"] = clean;\n\n const withPop = n01(clean);\n for (let i = 0; i < withPop.length; i++) withPop[i] += 0.25 * POP[i];\n variants[\"+شعبية\"] = withPop;\n\n const withType = n01(clean);\n if (wantsTv || wantsMovie) for (let i = 0; i < withType.length; i++)\n if (isTv[i] !== wantsTv) withType[i] *= 0.55;\n variants[\"+نوع\"] = withType;\n\n const withExp = n01(clean);\n const ne = n01(expanded);\n for (let i = 0; i < withExp.length; i++) withExp[i] = 0.75 * withExp[i] + 0.25 * ne[i];\n variants[\"+توسيع تلقائي\"] = withExp;\n\n const combo = n01(clean);\n const ne2 = n01(expanded);\n for (let i = 0; i < combo.length; i++) {\n combo[i] = 0.8 * combo[i] + 0.2 * ne2[i] + 0.25 * POP[i];\n if ((wantsTv || wantsMovie) && isTv[i] !== wantsTv) combo[i] *= 0.55;\n }\n variants[\"الكل مدموج\"] = combo;\n\n const row: any = { exp };\n const want = norm(exp);\n for (const name of V) {\n const s = variants[name];\n const order = Array.from(s.keys()).sort((a, b) => s[b] - s[a]);\n const rank = order.findIndex(i => {\n const t = norm(titles[i]);\n return t === want || t.startsWith(want) || want.startsWith(t);\n });\n row[name] = rank;\n if (name === \"الكل مدموج\") row.top = titles[order[0]];\n if (rank === 0) tally[name][0]++;\n if (rank >= 0 && rank < 5) tally[name][1]++;\n if (rank >= 0 && rank < 20) tally[name][2]++;\n }\n rows.push(row);\n }\n\n const n = rows.length;\n return Response.json({\n tested: n,\n summary: Object.fromEntries(V.map(v =>\n [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n fails: rows.filter(r => r[\"الكل مدموج\"] !== 0)\n .map(r => `${r.exp}: ${r[\"الكل مدموج\"] < 0 ? \"خارج\" : \"#\" + (r[\"الكل مدموج\"] + 1)} ← ${r.top}`),\n });\n}\n",[224],"37ffcf2c-02bf-4334-87e8-35c627b995a0","sweep.ts","2e73d21c-b080-11f1-8c8a-1607ee4eb77e",105,["D",1789420000638],"/* مسح أوزان الأعمدة — ترجمة تُحسب مرة وتُستخدم لكل الأوزان (إلغاء تذبذب القياس) */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\n/* أوزان: [العنوان, الملخّصات, الوسوم] */\nconst W: [string, number, number, number][] = [\n [\"ملخّصات فقط\", 1, 1, 0],\n [\"وسوم فقط\", 1, 0, 1],\n [\"متساوٍ ١:١\", 1, 1, 1],\n [\"ملخّص ٢ : وسم ١\", 1, 2, 1],\n [\"ملخّص ١ : وسم ٢\", 1, 1, 2],\n [\"ملخّص ٣ : وسم ١\", 1, 3, 1],\n [\"ملخّص ١ : وسم ٣\", 1, 1, 3],\n [\"ملخّص ٤ : وسم ١\", 1, 4, 1],\n];\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n /* ترجمة مخزَّنة: نفس النص لكل التشغيلات — القياس كان يتذبذب لأنها تتغيّر */\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n let dirty = false;\n\n const tally: any = {}; for (const [n] of W) tally[n] = [0, 0, 0];\n const rows: string[] = [];\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n let en = cache[ar];\n if (!en) {\n en = ar;\n if (/[\\u0600-\\u06FF]/.test(ar)) {\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(12000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل */ }\n }\n cache[ar] = en; dirty = true;\n }\n const terms = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n const match = terms.map(w => `\"${w}\"`).join(\" OR \");\n const want = norm(exp);\n const parts: string[] = [];\n\n for (const [name, wt, wp, wk] of W) {\n const r = await sqlite.execute({\n sql: `SELECT title FROM plot5 WHERE plot5 MATCH ?\n ORDER BY bm25(plot5, ${wt}, ${wp}, ${wk}) LIMIT 20`,\n args: [match],\n });\n const list = (r.rows || []).map((x: any) => String(x[0]));\n const rk = list.findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[name][0]++;\n if (rk >= 0 && rk < 5) tally[name][1]++;\n if (rk >= 0 && rk < 20) tally[name][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" \")}`);\n }\n\n if (dirty) await blob.setJSON(\"trcache_v1\", cache);\n const n = rows.length;\n return Response.json({\n ترتيب: W.map(w => w[0]).join(\" · \"),\n النتيجة: Object.fromEntries(W.map(([name]) =>\n [name, `أول ${tally[name][0]}/${n} · ضمن٥ ${tally[name][1]}/${n} · ضمن٢٠ ${tally[name][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[231],"aca9aebe-cbe4-497b-acc0-5c2ca9197d48","strict.ts","9625ae64-b0b5-11f1-ab2f-1607ee4eb77e",119,["D",1789442937961],"/* التشديد التدريجي: نبدأ بـAND على كل الكلمات المميّزة، ونخفّف تدريجياً.\n السبب المقاس: الأعمال الصحيحة تحوي كل الكلمات لكن OR يرجّح من يكرّر كلمة واحدة. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\n\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been being am \" +\n \"about after before while during into onto over under out up down off through across against between among \" +\n \"who whom whose that this these those which what when where how why there here \" +\n \"he she it they them him her his hers its their theirs we us our ours you your i me my mine \" +\n \"not no nor none any some all both each few more most other such only own same so than too very \" +\n \"can will just should now does do did done has have had having would could \" +\n \"movie film series show season episode\").split(\" \"));\n\nasync function q(match: string, lim = 20) {\n try {\n const r = await sqlite.execute({\n sql: `SELECT title FROM plot5 WHERE plot5 MATCH ? ORDER BY bm25(plot5,1,1,1) LIMIT ${lim}`,\n args: [match],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n } catch { return []; }\n}\n\n/* ندرة الكلمة تُقاس بعدد الأعمال التي تحويها — الأندر أهم فيبقى للنهاية */\nasync function rarity(w: string) {\n try {\n const r = await sqlite.execute({\n sql: `SELECT count(*) FROM plot5 WHERE plot5 MATCH ?`, args: [`\"${w}\"`],\n });\n return Number(r.rows[0][0]) || 999999;\n } catch { return 999999; }\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"OR (الحالي)\", \"تشديد تدريجي\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n let ms = 0;\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n const en = cache[ar] || ar;\n const all = [...new Set((en.toLowerCase().match(/[a-z0-9]+/g) || []).filter((w: string) => w.length > 1))] as string[];\n const content = all.filter(w => !STOP.has(w));\n\n const t0 = Date.now();\n const orList = await q(all.map(w => `\"${w}\"`).join(\" OR \"));\n\n /* نرتّب الكلمات المميّزة من الأندر للأشيع، ثم نطلب AND عليها كلها\n ونُسقط الأشيع واحدة تلو الأخرى حتى نحصل على نتائج كافية */\n const withR = await Promise.all(content.map(async w => ({ w, n: await rarity(w) })));\n const sorted = withR.sort((a, b) => a.n - b.n).map(x => x.w);\n\n let strict: string[] = [];\n const used: string[] = [];\n for (let k = Math.min(sorted.length, 6); k >= 2; k--) {\n const pick = sorted.slice(0, k);\n const res = await q(pick.map(w => `\"${w}\"`).join(\" AND \"));\n if (res.length >= 3) { strict = res; used.push(...pick); break; }\n }\n /* التشديد يعطي القلّة الدقيقة، ثم نكمل القائمة من OR بلا تكرار */\n const merged = [...strict, ...orList.filter(t => !strict.includes(t))].slice(0, 20);\n ms += Date.now() - t0;\n\n const lists: Record = { \"OR (الحالي)\": orList, \"تشديد تدريجي\": merged };\n const want = norm(exp);\n const parts: string[] = [];\n for (const v of V) {\n const rk = lists[v].findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" → \")}${used.length ? \" [\" + used.join(\"+\") + \"]\" : \"\"}`);\n }\n\n const n = rows.length;\n return Response.json({\n زمن: Math.round(ms / n) + \"ms\",\n النتيجة: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[238],"9e146b1f-27c1-4840-a7e7-4f31c9c1ff18","stopbench.ts","bc15e200-b075-11f1-a41d-1607ee4eb77e",94,["D",1789415513830],"/* قياس أثر حذف الكلمات الشائعة من الاستعلام — على القاعدة الجديدة */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { CASES } from \"./cases.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\n/* كلمات وظيفية بحتة: تظهر بكل مستند تقريباً فلا تميّز شيئاً */\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been being am \" +\n \"about after before while during into onto over under out up down off through across against between among \" +\n \"who whom whose that this these those which what when where how why there here \" +\n \"he she it they them him her his hers its their theirs we us our you your i me my mine \" +\n \"not no nor none any some all both each few more most other such only own same so than too very \" +\n \"can will just should now also does do did done has have had having \" +\n \"one two three first second new old \" +\n \"movie film series show season episode story \" +\n \"faces face goes go get gets got make makes made take takes took come comes came \" +\n \"man woman boy girl child children people person guy\").split(\" \"));\n\nasync function run(terms: string[]) {\n if (!terms.length) return [];\n const r = await sqlite.execute({\n sql: `SELECT title, year, bm25(plot2,1.0,1.0) FROM plot2 WHERE plot2 MATCH ? ORDER BY 3 LIMIT 20`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"15\");\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"خام\", \"بلا شائعة\"];\n const tally: any = { \"خام\": [0, 0], \"بلا شائعة\": [0, 0] };\n const rows: any[] = [];\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n let en = ar;\n if (/[\\u0600-\\u06FF]/.test(ar)) {\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(12000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل */ }\n }\n const raw = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n const clean = raw.filter(w => !STOP.has(w));\n const use = clean.length >= 2 ? clean : raw;\n\n const want = norm(exp);\n const rank = (list: string[]) => {\n const i = list.findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n return i;\n };\n const a = rank(await run(raw));\n const b = rank(await run(use));\n if (a === 0) tally[\"خام\"][0]++; if (a >= 0 && a < 5) tally[\"خام\"][1]++;\n if (b === 0) tally[\"بلا شائعة\"][0]++; if (b >= 0 && b < 5) tally[\"بلا شائعة\"][1]++;\n rows.push({ exp, خام: a < 0 ? \"خارج\" : \"#\" + (a + 1), نظيف: b < 0 ? \"خارج\" : \"#\" + (b + 1), كلمات: use.join(\" \") });\n }\n\n const n = rows.length;\n return Response.json({\n tested: n,\n summary: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n}`])),\n rows,\n });\n}\n",[245],"8243be34-d352-4557-9440-ce4032b9da88","stop2.ts","ed28050c-b080-11f1-9b46-1607ee4eb77e",109,["D",1789420320608],"/* الاختبار الحاسم: حذف الكلمات الوظيفية من الاستعلام على الفهرس ذي الأعمدة */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\n\n/* كلمات وظيفية بحتة — تتكرر مئات المرات بالنصوص الطويلة فتسحق الكلمات المميّزة */\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been being am \" +\n \"about after before while during into onto over under out up down off through across against between among \" +\n \"who whom whose that this these those which what when where how why there here \" +\n \"he she it they them him her his hers its their theirs we us our ours you your i me my mine \" +\n \"not no nor none any some all both each few more most other such only own same so than too very \" +\n \"can will just should now does do did done has have had having \" +\n \"movie film series show season episode\").split(\" \"));\n\nasync function q(match: string) {\n const r = await sqlite.execute({\n sql: `SELECT title FROM plot5 WHERE plot5 MATCH ? ORDER BY bm25(plot5,1,1,1) LIMIT 20`,\n args: [match],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"مع الوظيفية\", \"بلا وظيفية\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n const en = cache[ar] || ar;\n const all = [...new Set((en.toLowerCase().match(/[a-z0-9]+/g) || []).filter((w: string) => w.length > 1))] as string[];\n const clean = all.filter(w => !STOP.has(w));\n const use = clean.length >= 2 ? clean : all;\n\n const lists: Record = {\n \"مع الوظيفية\": await q(all.map(w => `\"${w}\"`).join(\" OR \")),\n \"بلا وظيفية\": await q(use.map(w => `\"${w}\"`).join(\" OR \")),\n };\n const want = norm(exp);\n const parts: string[] = [];\n for (const v of V) {\n const rk = lists[v].findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" → \")}`);\n }\n\n const n = rows.length;\n return Response.json({\n النتيجة: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[252],"69e15ab9-37f6-444e-a9cd-175922d67591","semtest.ts","214dea66-b0bf-11f1-9096-1607ee4eb77e",127,["D",1789447036897],"/* القياس الحاسم: لفظي (FTS5) · دلالي (Jina) · هجين — على نفس الاستعلامات */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { embed } from \"./jembed.ts\";\nimport { CASES } from \"./cases.ts\";\n\nconst DIM = 512;\n\nasync function loadVecs() {\n const state: any = (await blob.getJSON(\"embed_state\")) || { done: {} };\n const keys = Object.keys(state.done).sort((a, b) => Number(a.slice(2)) - Number(b.slice(2)));\n const titles: string[] = [];\n const mats: Float32Array[] = [];\n for (const k of keys) {\n const d: any = await blob.getJSON(k);\n if (!d?.b64) continue;\n const bin = atob(d.b64);\n const bytes = new Uint8Array(bin.length);\n for (let i = 0; i < bin.length; i++) bytes[i] = bin.charCodeAt(i);\n mats.push(new Float32Array(bytes.buffer));\n titles.push(...d.titles);\n }\n const total = mats.reduce((a, m) => a + m.length, 0);\n const V = new Float32Array(total);\n let off = 0;\n for (const m of mats) { V.set(m, off); off += m.length; }\n return { V, titles, n: titles.length };\n}\n\nfunction topSem(V: Float32Array, titles: string[], q: number[], k = 20) {\n const n = titles.length;\n const scored: [number, number][] = [];\n for (let i = 0; i < n; i++) {\n let s = 0;\n const o = i * DIM;\n for (let j = 0; j < DIM; j++) s += V[o + j] * q[j];\n scored.push([s, i]);\n }\n scored.sort((a, b) => b[0] - a[0]);\n return scored.slice(0, k).map(([s, i]) => ({ t: titles[i], s }));\n}\n\nasync function lexical(terms: string[], allowed: Set, k = 20) {\n const r = await sqlite.execute({\n sql: `SELECT title FROM plot5 WHERE plot5 MATCH ? ORDER BY bm25(plot5,1,1,1) LIMIT 400`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n /* نحصر المقارنة بنفس نطاق الأعمال المضمَّنة — وإلا كانت المقارنة غير عادلة */\n return (r.rows || []).map((x: any) => String(x[0])).filter(t => allowed.has(t)).slice(0, k);\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const { V, titles, n } = await loadVecs();\n const allowed = new Set(titles);\n const out: any = { \"نطاق المقارنة\": n + \" عملاً مضمَّناً\" };\n\n const V2 = [\"لفظي\", \"دلالي\", \"هجين\"];\n const tally: any = {}; for (const v of V2) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n let tested = 0;\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n const want = norm(exp);\n if (![...allowed].some(t => { const x = norm(t); return x === want || x.startsWith(want) || want.startsWith(x); })) continue;\n tested++;\n\n const en = cache[ar] || ar;\n const terms = [...new Set((en.toLowerCase().match(/[a-z0-9]+/g) || []).filter((w: string) => w.length > 1))] as string[];\n const lex = await lexical(terms, allowed);\n /* الاستعلام الدلالي بالعربي مباشرة — النموذج متعدد اللغات */\n const qe = await embed([ar], \"retrieval.query\");\n const sem = topSem(V, titles, qe.vecs[0]).map(x => x.t);\n\n /* الهجين: دمج رتب بسيط */\n const sc = new Map();\n lex.forEach((t, i) => sc.set(t, (sc.get(t) || 0) + 1 / (60 + i + 1)));\n sem.forEach((t, i) => sc.set(t, (sc.get(t) || 0) + 1 / (60 + i + 1)));\n const hyb = [...sc.entries()].sort((a, b) => b[1] - a[1]).map(([t]) => t);\n\n const lists: Record = { \"لفظي\": lex, \"دلالي\": sem, \"هجين\": hyb };\n const parts: string[] = [];\n for (const v of V2) {\n const rk = lists[v].findIndex(t => { const x = norm(t); return x === want || x.startsWith(want) || want.startsWith(x); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" \")}`);\n }\n\n out.أعمدة = V2.join(\" · \");\n out.النتيجة = Object.fromEntries(V2.map(v => [v, `أول ${tally[v][0]}/${tested} · ضمن٥ ${tally[v][1]}/${tested} · ضمن٢٠ ${tally[v][2]}/${tested}`]));\n out.التفصيل = rows;\n return Response.json(out);\n}\n",[259],"73a5e5db-394a-4635-b592-efafc96c2320","searxdiag.ts","0f5baec8-af9e-11f1-bbcf-1607ee4eb77e",134,["D",1789448081320],32,"/* حفر بمصادر جديدة كلياً — على الأعمال التي فشلت فيها ويكيبيديا الإنجليزية بالضبط */\nconst UA = { \"user-agent\": \"shashti/1.0 (personal media tracker)\" };\n\nasync function j(u: string, h: any = UA) {\n try {\n const r = await fetch(u, { headers: h, signal: AbortSignal.timeout(18000) });\n return r.ok ? await r.json() : null;\n } catch { return null; }\n}\n\n/* ١) ويكيبيديا بلغة العمل الأصلية — الفلم الإيطالي له مقال إيطالي غنيّ */\nasync function wikiLang(lang: string, title: string) {\n const d = await j(`https://${lang}.wikipedia.org/w/api.php?action=query&prop=extracts&explaintext=1&format=json&redirects=1&titles=${encodeURIComponent(title)}`);\n const p: any = Object.values(d?.query?.pages || {})[0];\n const t = String(p?.extract || \"\");\n if (t.length < 200) return null;\n const m = t.match(/\\n==+\\s*(Plot|Trama|Sinossi|Argumento|Intrigue|Synopsis|Handlung|قصة|الحبكة|Episodes)\\s*==+\\n([\\s\\S]*?)(?=\\n==+)/i);\n return { page: p?.title, total: t.length, plot: m ? m[2].trim().length : 0, sample: (m ? m[2] : t).slice(0, 200) };\n}\n\n/* ٢) Fandom — ويكيات المعجبين، تغطي المغمور والأنمي والمسلسلات بتفصيل مذهل */\nasync function fandom(query: string) {\n const s = await j(`https://community.fandom.com/api/v1/Search/CrossWiki?query=${encodeURIComponent(query)}&limit=3`);\n return (s?.items || []).map((x: any) => ({ wiki: x?.title, url: x?.url, desc: String(x?.desc || \"\").slice(0, 120) }));\n}\n\n/* ٣) TVmaze — واجهة مفتوحة بلا مفتاح، ملخّص لكل حلقة من كل مسلسل */\nasync function tvmaze(name: string) {\n const d = await j(`https://api.tvmaze.com/singlesearch/shows?q=${encodeURIComponent(name)}&embed=episodes`);\n if (!d?.id) return null;\n const eps = d?._embedded?.episodes || [];\n const text = eps.map((e: any) => String(e.summary || \"\").replace(/<[^>]+>/g, \" \")).join(\" \");\n return { show: d.name, حلقات: eps.length, \"نص الحلقات\": text.length, sample: text.slice(0, 220) };\n}\n\nexport default async function (req: Request): Promise {\n const out: any = {};\n\n /* الأعمال التي فشلت فعلياً بقياس ويكيبيديا الإنجليزية */\n out[\"Generation 56k (إيطالي ٢٠٢١)\"] = {\n \"ويكيبيديا إيطالية\": await wikiLang(\"it\", \"Generazione 56k\"),\n fandom: await fandom(\"Generazione 56k\"),\n tvmaze: await tvmaze(\"Generation 56k\"),\n };\n out[\"Fallout (مسلسل ٢٠٢٤)\"] = {\n \"ويكيبيديا إنجليزية\": await wikiLang(\"en\", \"Fallout (American TV series)\"),\n tvmaze: await tvmaze(\"Fallout\"),\n };\n out[\"The Naked Gun (٢٠٢٥)\"] = {\n \"ويكيبيديا إنجليزية\": await wikiLang(\"en\", \"The Naked Gun (2025 film)\"),\n };\n out[\"La Job (مسلسل كندي ٢٠٠٦)\"] = {\n tvmaze: await tvmaze(\"La Job\"),\n fandom: await fandom(\"La Job série\"),\n };\n return Response.json(out);\n}\n",[266],"bcb16cad-8451-445b-927a-90cd1820bf34","probe2.ts","39f94fc6-af9b-11f1-94aa-1607ee4eb77e",7,["D",1789321725227],"export default async function (req: Request): Promise {\n const url = new URL(req.url);\n const q = url.searchParams.get(\"q\") || \"\";\n if (!q) return Response.json({ error: \"no q\" });\n const { findByPlot } = await import(\"./engine.ts\");\n try {\n const out = await findByPlot(q);\n return Response.json(out);\n } catch (e) {\n return Response.json({ error: String(e).slice(0, 500) });\n }\n}\n",[274],"0ed10905-12cb-4084-ba11-75fe36d7791f","probe.ts","3289ae34-af9b-11f1-84b0-1607ee4eb77e",4,["D",1789321659655],"export default async function () {\n const q = \"family lives in silence monsters hunt by sound movie\";\n const out: any = {};\n const u = \"http://145.241.108.185:8888/search?q=\" + encodeURIComponent(q) + \"&format=json\";\n try {\n const r = await fetch(u, { signal: AbortSignal.timeout(20000) });\n const txt = await r.text();\n out.status = r.status;\n out.len = txt.length;\n out.head = txt.slice(0, 1500);\n } catch (e) {\n out.error = String(e).slice(0, 400);\n }\n console.log(JSON.stringify(out, null, 2));\n return out;\n}\n",[281],"321c26ca-5a45-4c1a-a531-6e2130748268","popfill.ts","6addd5fc-b019-11f1-9685-1607ee4eb77e",79,["D",1789375863865],"/* يضيف الشعبية والنوع للقاعدة — إشارتان لازمتان لتجربة تحسين الترتيب */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst KEY = \"imdbcorpus_v1\";\n\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n const out: R[] = []; let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; out[k] = await fn(items[k]); }\n }));\n return out;\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"1\");\n const to = Number(u.searchParams.get(\"to\") || \"65\");\n\n const all: any[] = (await blob.getJSON(KEY)) as any[] || [];\n const pages: [string, number][] = [];\n for (let p = from; p <= to; p++) { pages.push([\"movie\", p]); pages.push([\"tv\", p]); }\n\n const maps = await pool(pages, 8, async ([kind, p]) => {\n const d = await j(`${SH}/tmdb/discover/${kind}?sort_by=popularity.desc&page=${p}&vote_count.gte=100`);\n return (d?.results || []).map((x: any) => [kind + \":\" + x.id, { pop: x.popularity || 0, votes: x.vote_count || 0 }]);\n });\n const M = new Map(maps.flat() as any);\n\n let hit = 0;\n for (const r of all) {\n const m = M.get(r.kind + \":\" + r.id);\n if (m) { r.pop = m.pop; r.votes = m.votes; hit++; }\n else if (r.pop == null) { r.pop = 0; r.votes = 0; }\n }\n await blob.setJSON(KEY, all);\n return Response.json({ total: all.length, updatedNow: hit, withPop: all.filter(r => (r.pop || 0) > 0).length });\n}\n",[288],"a487fdf0-1032-4ea4-b78f-2db0779ccef9","plotsearch.ts","98aa950c-b02c-11f1-8604-1607ee4eb77e",93,["D",1789415078932],2,"/* ابحث بالوصف — نسخة FTS5 (المقاسة: ٦٩٪ أول · ٨٩٪ ضمن٥ · ٢٠ مللي) */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nasync function api(q: string) {\n const t0 = Date.now();\n let en = q.trim(), trMs = 0;\n if (/[\\u0600-\\u06FF]/.test(en)) {\n const t = Date.now();\n try {\n const r = await fetch(`${SH}/translate?q=${encodeURIComponent(en)}&target=en`, { signal: AbortSignal.timeout(15000) })\n .then(x => x.ok ? x.json() : null);\n if (r?.text) en = String(r.text);\n } catch { /* نكمل بالأصل */ }\n trMs = Date.now() - t;\n }\n const terms = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n if (!terms.length) return { items: [], debug: { en, note: \"لا كلمات صالحة\" } };\n\n const wantsTv = /مسلسل|series\\b|\\bshow\\b|season/i.test(q);\n const wantsMovie = /فلم|فيلم|movie|film/i.test(q) && !wantsTv;\n\n const tS = Date.now();\n const r = await sqlite.execute({\n sql: `SELECT title, kind, year, tmdbid, bm25(plot2, 1.0, 1.0) AS s, snippet(plot2, 4, '«', '»', '…', 18) AS sn\n FROM plot2 WHERE plot2 MATCH ? ORDER BY s LIMIT 40`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n const searchMs = Date.now() - tS;\n\n /* bm25 بـSQLite سالب — الأصغر أفضل. نقلبه لدرجة موجبة مفهومة. */\n let rows = (r.rows || []).map((x: any) => ({\n title: String(x[0]), kind: String(x[1]), year: String(x[2]), tmdbid: String(x[3]),\n score: -Number(x[4]), snippet: String(x[5] || \"\"),\n }));\n\n /* ترجيح خفيف بالنوع فقط — بقية التحسينات أضرّت بالقياس فلم تُطبَّق */\n if (wantsTv || wantsMovie) {\n rows = rows.map(r2 => ({ ...r2, score: (r2.kind === \"tv\") === wantsTv ? r2.score : r2.score * 0.75 }))\n .sort((a, b) => b.score - a.score);\n }\n\n /* إشارة الثقة: الفجوة بين الأول والثالث (مقاسة: ١٤٫٥ حقيقي مقابل ٢٫٣ وهمي) */\n const gap = rows.length >= 3 ? rows[0].score - rows[2].score : 0;\n const conf = gap > 8 ? \"عالية\" : gap > 4 ? \"متوسطة\" : \"ضعيفة\";\n\n const top = rows.slice(0, 8);\n const posters = await Promise.all(top.map(async t => {\n try {\n const d = await fetch(`${SH}/tmdb/${t.kind}/${t.tmdbid}`, { signal: AbortSignal.timeout(8000) })\n .then(x => x.ok ? x.json() : null);\n return { poster: d?.poster_path ? \"https://image.tmdb.org/t/p/w185\" + d.poster_path : null,\n rating: d?.vote_average ? Math.round(d.vote_average * 10) / 10 : null,\n ov: d?.overview || \"\" };\n } catch { return { poster: null, rating: null, ov: \"\" }; }\n }));\n\n return {\n items: top.map((t, i) => ({ ...t, ...posters[i] })),\n debug: { en, trMs, searchMs, totalMs: Date.now() - t0, gap: +gap.toFixed(1), conf, terms: terms.length },\n };\n}\n\nconst HTML = `\n\nابحث بالوصف\n\n\n

ابحث بالوصف 🎬

٥٥١١ عملاً · ملخصات IMDb كتبها مشاهدون · صفر خدمة خارجية

\n\n\n

\n`;\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n if (u.pathname === \"/api\") {\n const q = (u.searchParams.get(\"q\") || \"\").trim();\n if (!q) return Response.json({ items: [], debug: {} });\n try { return Response.json(await api(q)); }\n catch (e) { return Response.json({ error: String(e).slice(0, 300) }); }\n }\n return new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n}\n",[295],"046fffc1-6318-447d-b78c-3a21421b00a7","ondevice.ts","fdaf6144-affa-11f1-b05b-1607ee4eb77e",73,["D",1789362795764],"const CORPUS_URL = \"https://q8kamikaze--dfc53fe6affa11f198ef1607ee4eb77e.web.val.run/\";\n\nconst HTML = `\n\n\nقياس البحث على الجهاز\n\n\n

قياس البحث الدلالي على جهازك 🧪

النموذج يشتغل داخل جوالك — صفر خادم، صفر حساب، صفر حصة.\nالصفحة تقيس نفسها: زمن التحميل، زمن التجهيز، زمن البحث، ودقة ١٥ اختباراً حقيقياً.

\n\n

\n\n`;\n\nexport default () => new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n",[303],"d9f04b43-f127-4594-854f-7233d1cbbc93","main.ts",55,["D",1789325062701],5,"import { findByPlot } from \"./engine.ts\";\nimport { findByKeywords } from \"./kwengine.ts\";\n\nconst HTML = `\n\n\n\n\nابحث بالوصف — تجربة حية\n\n\n\n\n

ابحث بالوصف — تجربة حية 🧪

\n \n \n

\n\n\n

مجاني ١٠٠٪: ترجمة ← SearXNG (سيرفرك) ← TMDB. ⚠️ يعتمد على محركات بحث تُعلَّق عند كثرة الطلبات.

\n \n \n

\n\n\n

الفكرة: وسوم كتبها بشر لكل عمل بـIMDb. نحوّل وصفك لوسوم، نتقاطعها، ثم نتحقّق من وسوم كل مرشَّح نفسه ونرتّب بعدد المطابق. صفر ذكاء اصطناعي · صفر محرك بحث · صفر حجب.

\n \n \n

\n \n

\n\n

\n\n\n`;\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n if (url.pathname === \"/api\") {\n const q = (url.searchParams.get(\"q\") || \"\").trim();\n if (!q) return Response.json({ error: \"empty\" });\n try { return Response.json(await findByPlot(q)); }\n catch (e) { return Response.json({ error: String(e).slice(0, 400) }); }\n }\n if (url.pathname === \"/kw\") {\n const q = (url.searchParams.get(\"q\") || \"\").trim();\n const pick = (url.searchParams.get(\"pick\") || \"\").split(\",\").map(s => s.trim()).filter(Boolean);\n if (!q) return Response.json({ error: \"empty\" });\n try { return Response.json(await findByKeywords(q, pick.length ? pick : undefined)); }\n catch (e) { return Response.json({ error: String(e).slice(0, 400) }); }\n }\n return new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n}\n",[310],"afe34866-1484-4fcc-ab0a-e35cf402481d","kwengine.ts","76f16f0c-afa1-11f1-8955-1607ee4eb77e",54,["D",1789324990359],14,"/* دراسة عمق — أنبوب وسوم IMDb البشرية + تصويت الأزواج\n ⚠️ ثلاثة أخطاء أمسكها القياس وصُحّحت هنا:\n ١) سقف الاتساع ٨٠٠٠ كان **يرمي أفضل وسم بالحالتين**: time-travel (٩١٥٥) وmonster (٩٥٩٥).\n السقف الآن ٣٠٬٠٠٠ — يرمي العام حقاً لا المميّز.\n ٢) المطابقة التقريبية (startsWith) أدخلت وسوماً دخيلة تماماً (\"theremin\") — أُلغيت، حرفي فقط.\n ٣) الترتيب بالندرة وحدها رفع مطابقات عرضية؛ الآن: العبارة الأطول أولاً (الأدق دلالياً)،\n ثم الأندر. */\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst SHASHTI = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst H = {\n \"content-type\": \"application/json\",\n \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\",\n};\nasync function gql(query: string) {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query }), signal: AbortSignal.timeout(25000) });\n return await r.json();\n}\n\n/* كلمات لا تصلح وسماً **مستقلاً** — لكنها مسموحة **داخل** وسم مركّب\n (\"time\" وحدها ضجيج، لكن \"time travel\" أقوى وسم ممكن. خلطهما كان خطأً مقاساً.) */\nconst WEAK = new Set((\"lives live living life time man woman boy girl child children thing place world year day night \" +\n \"hunt sound family people story\").split(\" \"));\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been about after \" +\n \"who that this his her its their he she it they them movie film series show tv season episode one two three \" +\n \"new old make made get gets has have had not no all some any more most where when how why \" +\n \"someone something himself herself themselves each other into onto over under while during because\").split(\" \"));\n\nconst slug = (s: string) => s.trim().toLowerCase().replace(/\\s+/g, \"-\");\n\nasync function toKeywords(text: string) {\n const words = text.toLowerCase().replace(/[^a-z0-9 ]+/g, \" \").split(/\\s+/).filter(Boolean);\n /* جذر خفيف: أول ٥ حروف — يجسر \"traveling\"↔\"travel\" و\"monsters\"↔\"monster\" */\n const stem = (w: string) => w.slice(0, 5);\n const bag = new Set(words.filter(w => !STOP.has(w) && w.length > 2).map(stem));\n\n const cand: string[] = [];\n for (let n = 3; n >= 1; n--) {\n for (let i = 0; i + n <= words.length; i++) {\n const g = words.slice(i, i + n);\n if (STOP.has(g[0]) || STOP.has(g[g.length - 1])) continue;\n if (g.every(w => STOP.has(w) || w.length <= 2)) continue;\n cand.push(g.join(\" \"));\n }\n }\n const uniq = [...new Set(cand)].slice(0, 24);\n /* مفرد/جمع: \"monsters\" ليست وسماً و\"monster\" وسم — نضيف المفرد كمرشَّح مستقل */\n const singular = uniq.map(w => w.replace(/\\b(\\w{4,})s\\b/g, \"$1\")).filter(w => !uniq.includes(w));\n const all = [...uniq, ...new Set(singular)].slice(0, 32);\n const hits = await Promise.all(all.map(async w => {\n try {\n const j = await gql(`query { mainSearch(first: 6, options: { searchTerm: ${JSON.stringify(w)}, type: KEYWORD }) {\n edges { node { entity { ... on Keyword { text { text } } } } } } }`);\n const list: string[] = (j?.data?.mainSearch?.edges || []).map((e: any) => e.node?.entity?.text?.text).filter(Boolean);\n const exact = list.find(h => h === w);\n /* ⚠️ تصحيح رابع (قياس): الترجمة تقلب ترتيب العبارة (\"traveling in time\" مقابل\n \"time travel\")، فالثنائية الحرفية لا تتكوّن أبداً ويضيع أقوى وسم. الحل:\n نقبل أي اقتراح **كل كلماته موجودة بالوصف نفسه** — لا شرط على الترتيب. */\n const subset = list\n .filter(h => h !== w && h.split(\" \").length > 1)\n .filter(h => h.split(\" \").every(x => STOP.has(x) || bag.has(stem(x))));\n const chosen = exact || subset[0] || null;\n return { w, kw: chosen, n: chosen ? chosen.split(\" \").length : 0, via: exact ? \"حرفي\" : (chosen ? \"تجميع\" : \"\") };\n } catch { return { w, kw: null, n: 0, via: \"\" }; }\n }));\n const seen = new Set();\n const strong: any[] = [], weak: any[] = [];\n for (const h of hits.filter(x => x.kw).sort((a, b) => b.n - a.n)) {\n const s = slug(h.kw!);\n if (seen.has(s)) continue;\n seen.add(s);\n /* كلمة ضعيفة مفردة تُؤجَّل احتياطاً — تُستعمل فقط لو الوسوم القوية أقل من ثلاثة */\n (h.n === 1 && WEAK.has(h.kw!.toLowerCase()) ? weak : strong).push({ ...h, slug: s });\n }\n return strong.length >= 3 ? strong : strong.concat(weak);\n}\n\nasync function keywordBreadth(s: string) {\n try {\n const j = await gql(`query { advancedTitleSearch(first: 1,\n constraints: { keywordConstraint: { allKeywords: ${JSON.stringify([s])} },\n explicitContentConstraint: { explicitContentFilter: EXCLUDE_ADULT } }) { total } }`);\n return j?.data?.advancedTitleSearch?.total ?? -1;\n } catch { return -1; }\n}\n\nasync function pair(a: string, b: string, take = 12) {\n try {\n const j = await gql(`query { advancedTitleSearch(first: ${take},\n sort: { sortBy: POPULARITY, sortOrder: ASC },\n constraints: { keywordConstraint: { allKeywords: ${JSON.stringify([a, b])} },\n explicitContentConstraint: { explicitContentFilter: EXCLUDE_ADULT } })\n { total edges { node { title { id titleText { text } releaseYear { year } titleType { id }\n primaryImage { url } ratingsSummary { aggregateRating } } } } } }`);\n const d = j?.data?.advancedTitleSearch;\n return { total: d?.total ?? 0, items: (d?.edges || []).map((e: any) => ({\n id: e.node?.title?.id, t: e.node?.title?.titleText?.text, y: e.node?.title?.releaseYear?.year,\n type: e.node?.title?.titleType?.id, img: e.node?.title?.primaryImage?.url || null,\n r: e.node?.title?.ratingsSummary?.aggregateRating ?? null,\n })) };\n } catch { return { total: 0, items: [] }; }\n}\n\nexport async function findByKeywords(rawText: string, picked?: string[]) {\n const t0 = Date.now();\n const dbg: any = {};\n let en = rawText.trim();\n if (/[\\u0600-\\u06FF]/.test(en)) {\n try {\n const tr = await fetch(SHASHTI + \"/translate?q=\" + encodeURIComponent(en) + \"&target=en\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (tr?.text) en = String(tr.text);\n } catch { /* نكمل بالأصل */ }\n }\n dbg.en = en;\n\n const kws = await toKeywords(en);\n dbg.mapped = kws.map(k => k.w + \" → \" + k.kw);\n\n const withBreadth = await Promise.all(kws.slice(0, 12).map(async k => ({ ...k, total: await keywordBreadth(k.slug) })));\n const auto = withBreadth\n .filter(k => k.total >= 5 && k.total <= 30000)\n .sort((a, b) => (b.n - a.n) || (a.total - b.total))\n .slice(0, 5);\n\n /* رقائق للعرض: كل الوسوم الصالحة + اقتراحات IMDb حولها (يجسر الفجوة اللفظية:\n المستخدم يكتب \"dream\" وIMDb يسمّيها \"dream within a dream\") */\n const sugSeeds = withBreadth.filter(k => k.total >= 5).slice(0, 4);\n const sugLists = await Promise.all(sugSeeds.map(async k => {\n try {\n const j = await gql(`query { mainSearch(first: 8, options: { searchTerm: ${JSON.stringify(k.kw)}, type: KEYWORD }) {\n edges { node { entity { ... on Keyword { text { text } } } } } } }`);\n return (j?.data?.mainSearch?.edges || []).map((e: any) => e.node?.entity?.text?.text).filter(Boolean);\n } catch { return []; }\n }));\n const chipSet = new Map();\n for (const k of withBreadth.filter(x => x.total >= 5)) chipSet.set(k.slug, true);\n for (const l of sugLists) for (const s of l) chipSet.set(slug(s), false);\n dbg.chips = [...chipSet.entries()].slice(0, 24).map(([s, isAuto]) => ({ s, auto: isAuto }));\n\n /* لو المستخدم اختار رقائق بنفسه، هي المصدر — وإلا الاختيار الآلي */\n const good = picked && picked.length >= 2\n ? picked.map(p => ({ slug: p, total: 0, n: p.split(\"-\").length, w: p, kw: p }))\n : auto;\n dbg.breadth = withBreadth.map(k => k.slug + \":\" + k.total);\n dbg.chosen = good.map((k: any) => k.slug + (k.total ? \"(\" + k.total + \")\" : \"\"));\n dbg.manual = !!(picked && picked.length >= 2);\n\n if (dbg.manual) {\n for (const g of good as any[]) if (!g.total) g.total = await keywordBreadth(g.slug);\n }\n\n if (good.length < 2) { dbg.ms = Date.now() - t0; return { items: [], debug: dbg, reason: \"وسوم غير كافية\" }; }\n\n const pairs: [string, string][] = [];\n for (let i = 0; i < good.length; i++)\n for (let j = i + 1; j < good.length; j++) pairs.push([good[i].slug, good[j].slug]);\n\n const results = await Promise.all(pairs.slice(0, 10).map(async ([a, b]) => ({ a, b, ...(await pair(a, b)) })));\n dbg.pairs = results.map(r => r.a + \"+\" + r.b + \"=\" + r.total);\n\n const votes = new Map();\n for (const r of results) {\n if (!r.total || r.total > 2000) continue;\n r.items.forEach((it: any) => {\n if (!it.id) return;\n let v = votes.get(it.id);\n if (!v) { v = { ...it, pairs: 0, from: [] as string[] }; votes.set(it.id, v); }\n v.pairs++;\n if (v.from.length < 4) v.from.push(r.a + \"+\" + r.b);\n });\n }\n\n /* ═══ الحل الجذري لفشل الاختيار الآلي ═══\n لا نحاول تخمين «أي وسمين هما الجوهريان» — نجمع كل المرشَّحين من كل الأزواج،\n ثم نسحب **قائمة وسوم كل مرشَّح نفسه** ونحسب كم وسماً من وسوم وصفك يحملها فعلاً.\n العمل الصحيح يحمل أربعة أو خمسة منها؛ الدخيل يحمل الاثنين اللذين جاء بهما فقط.\n والوزن IDF: وسم نادر (missing-children ٥٨) يساوي أضعاف وسم عام (time-travel ٩١٥٥). */\n const cands = [...votes.values()].slice(0, 24);\n if (cands.length) {\n const alias = cands.map((c, i) =>\n `t${i}: title(id: ${JSON.stringify(c.id)}) { keywords(first: 40) { edges { node { text } } } }`).join(\" \");\n try {\n const j = await gql(`query { ${alias} }`);\n const qk = withBreadth.filter(k => k.total > 0)\n .concat(dbg.manual ? (good as any[]).filter(g => !withBreadth.some(w => w.slug === g.slug)) : []);\n const BASE = 400000;\n const stemSet = (s: string) => new Set(s.split(\"-\").filter(x => x.length > 2 && !STOP.has(x)).map(x => x.slice(0, 5)));\n cands.forEach((c, i) => {\n const own = ((j?.data?.[`t${i}`]?.keywords?.edges) || []).map((e: any) => slug(String(e.node?.text || \"\")));\n const ownStems = own.map((o: string) => ({ o, st: stemSet(o) }));\n const used = new Set();\n let hit = 0, idf = 0;\n const matched: string[] = [];\n for (const k of qk) {\n const mine = stemSet(k.slug);\n if (!mine.size) continue;\n /* ⚠️ المطابقة الحرفية للوسم كانت تُسقط الصحيح: Dark يحمل \"missing child\"\n و\"german town\" بينما وصفك أنتج \"missing children\" و\"german\" — نفس المعنى،\n سلسلة مختلفة. فالمطابقة الآن بتداخل الجذور (أحدهما يحتوي الآخر). */\n let best: any = null, exact = false;\n for (const o of ownStems) {\n if (used.has(o.o)) continue;\n if (o.o === k.slug) { best = o; exact = true; break; }\n /* ⚠️ بگ مقاس: وسم بلا جذور معتبرة (k9 · ak-47) مجموعته فارغة،\n و«every» على مجموعة فارغة ترجع true — فينتج تطابق كاذب تماماً.\n الشرط الآن: الطرفان غير فارغين، ومع تداخل فعلي. */\n if (!o.st.size || !mine.size) continue;\n const sub = [...mine].every(x => o.st.has(x)) || [...o.st].every(x => mine.has(x));\n if (sub && !best) best = o;\n }\n if (!best) continue;\n used.add(best.o);\n hit++;\n idf += Math.log(BASE / Math.max(k.total, 5)) * (exact ? 1 : 0.7);\n matched.push(k.slug + (exact ? \"\" : \"≈\" + best.o));\n }\n c.hit = hit; c.idf = +idf.toFixed(2); c.matched = matched;\n });\n } catch (e) { dbg.verifyErr = String(e).slice(0, 120); }\n }\n\n const ranked = cands\n .sort((a, b) => (b.hit || 0) - (a.hit || 0) || (b.idf || 0) - (a.idf || 0))\n .slice(0, 8);\n dbg.ms = Date.now() - t0;\n return { items: ranked, debug: dbg };\n}\n",[317],"0399d86d-3497-4b1c-bd7c-45a126c8f86b","kwbench.ts","7dc0073a-afa1-11f1-b4e3-1607ee4eb77e",47,["D",1789324674682],"import { findByKeywords } from \"./kwengine.ts\";\n\nconst CASES: [string, string][] = [\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"A Quiet Place\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"Dark\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"Inception\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"Squid Game\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"Up\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"Groundhog\"],\n];\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const i = Number(url.searchParams.get(\"i\") || \"0\");\n const rows: any[] = [];\n for (const [q, expect] of CASES.slice(i, i + 2)) {\n try {\n const r = await findByKeywords(q);\n const titles = (r.items || []).map((x: any) => x.t);\n rows.push({\n q, expect,\n rankAuto: titles.findIndex((t: string) => new RegExp(expect, \"i\").test(t || \"\")),\n chips: r.debug.chosen,\n top: (r.items || []).slice(0, 4).map((x: any) => x.t + \" [\" + x.hit + \"·\" + x.idf + \"] \" + (x.matched || []).join(\"،\")),\n ms: r.debug.ms,\n });\n } catch (e) { rows.push({ q, err: String(e).slice(0, 200) }); }\n }\n return Response.json(rows);\n}\n",[325],"06ec6f4d-dcd0-47f0-be91-831c4343ece6","jtargets.ts","c1633426-b0be-11f1-b1eb-1607ee4eb77e",124,["D",1789446875967],"/* تضمين موجَّه: يضمن حضور كل عناوين الاختبار بالعيّنة مهما كان موقعها بالقاعدة */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { docText, embed } from \"./jembed.ts\";\nimport { CASES } from \"./cases.ts\";\n\nconst DIM = 512;\nfunction packVecs(vecs: number[][]) {\n const f = new Float32Array(vecs.length * DIM);\n vecs.forEach((v, i) => f.set(v, i * DIM));\n const b = new Uint8Array(f.buffer);\n let bin = \"\";\n for (let i = 0; i < b.length; i += 8192) bin += String.fromCharCode(...b.subarray(i, i + 8192));\n return btoa(bin);\n}\n\nexport default async function (req: Request): Promise {\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const norm = (s: string) => String(s || \"\").toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n /* مواقع عناوين الاختبار داخل القاعدة */\n const wanted = CASES.map(c => norm(c[1]));\n const idx: number[] = [];\n const found: string[] = [];\n C.forEach((r, i) => {\n const t = norm(r.title);\n if (wanted.some(w => t === w || t.startsWith(w + \" \") || w.startsWith(t))) { idx.push(i); found.push(r.title + \" @\" + i); }\n });\n\n const out: any = { \"عناوين الاختبار بالقاعدة\": found.length, مواقع: found.slice(0, 60) };\n if (new URL(req.url).searchParams.get(\"dry\")) return Response.json(out);\n\n /* نضمّن هذه المواضع فقط (الباقي مضمَّن تسلسلياً بمسار آخر) */\n const slice = idx.map(i => C[i]);\n const B = 64;\n const all: number[][] = [];\n let tokens = 0;\n for (let i = 0; i < slice.length; i += B) {\n const e = await embed(slice.slice(i, i + B).map(docText), \"retrieval.passage\");\n all.push(...e.vecs); tokens += e.tokens;\n }\n await blob.setJSON(\"vecs_targets\", {\n n: all.length, dim: DIM,\n ids: slice.map(r => r.kind + \":\" + r.id),\n titles: slice.map(r => r.title),\n b64: packVecs(all),\n });\n out.مضمَّن = all.length; out.رموز = tokens;\n return Response.json(out);\n}\n",[332],"bede3109-a389-41bc-9677-06b5e491f586","jloop.ts","fb06ea42-b0be-11f1-b636-1607ee4eb77e",130,["D",1789447269320],"/* تضمين متواصل بإيقاع يحترم الحدّ المقاس (١٠٠ ألف رمز/دقيقة):\n دفعة ٣٢ نصاً (~١٠ آلاف رمز) كل ٧ ثوانٍ، ويستمر بالخلفية بعد انتهاء مهلة الطلب. */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { docText, embed } from \"./jembed.ts\";\n\nconst DIM = 512;\nfunction pack(vecs: number[][]) {\n const f = new Float32Array(vecs.length * DIM);\n vecs.forEach((v, i) => f.set(v, i * DIM));\n const b = new Uint8Array(f.buffer);\n let bin = \"\";\n for (let i = 0; i < b.length; i += 8192) bin += String.fromCharCode(...b.subarray(i, i + 8192));\n return btoa(bin);\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"1600\");\n const budget = Number(u.searchParams.get(\"sec\") || \"20\") * 1000;\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const state: any = (await blob.getJSON(\"embed_state\")) || { done: {} };\n const t0 = Date.now();\n const log: string[] = [];\n let tokens = 0;\n\n const B = 32;\n for (let s = from; s < Math.min(to, C.length); s += B) {\n if (Date.now() - t0 > budget) { log.push(\"انتهت المهلة عند \" + s); break; }\n const key = \"v_\" + s;\n if (state.done[key]) continue;\n const slice = C.slice(s, s + B);\n try {\n const e = await embed(slice.map(docText), \"retrieval.passage\");\n tokens += e.tokens;\n await blob.setJSON(key, {\n start: s, n: e.vecs.length, dim: DIM,\n ids: slice.map(r => r.kind + \":\" + r.id),\n titles: slice.map(r => r.title),\n b64: pack(e.vecs),\n });\n state.done[key] = e.vecs.length;\n await blob.setJSON(\"embed_state\", state);\n await new Promise(r => setTimeout(r, 1200)); /* تهدئة خفيفة — المهلة القصيرة تحمي من الحدّ */\n } catch (err) {\n log.push(s + \": \" + String(err).slice(0, 120));\n await new Promise(r => setTimeout(r, 20000)); /* تهدئة أطول عند الرفض */\n }\n }\n\n const total = Object.values(state.done).reduce((a: any, b: any) => a + b, 0);\n return Response.json({ مضمَّن_إجمالاً: total, رموز_هذه_الجولة: tokens, log, ثوانٍ: Math.round((Date.now() - t0) / 1000) });\n}\n",[339],"d54a6402-f3a3-4f1b-ab29-101bacdbcc61","jinatest.ts","29531688-b0be-11f1-9904-1607ee4eb77e",128,["D",1789447135280],"/* فحص الرصيد الفعلي — لا افتراض */\nexport default async function (req: Request): Promise {\n const k = Deno.env.get(\"JINA_KEY2\") || \"\";\n const out: any = {};\n const H = { authorization: \"Bearer \" + k, \"content-type\": \"application/json\" };\n\n /* نقاط الحساب الرسمية بـJina */\n for (const [name, url] of [\n [\"رصيد المفتاح\", \"https://api.jina.ai/v1/rate_limit\"],\n [\"حالة الحساب\", \"https://embeddings-dashboard-api.jina.ai/api/v1/api_key/user?api_key=\" + encodeURIComponent(k)],\n ] as [string, string][]) {\n try {\n const r = await fetch(url, { headers: H, signal: AbortSignal.timeout(20000) });\n const t = await r.text();\n out[name] = { status: r.status, body: t.slice(0, 600) };\n } catch (e) { out[name] = \"ERR \" + String(e).slice(0, 120); }\n }\n return Response.json(out);\n}\n",[346],"de0dbed0-ed0b-4207-9ff2-58658dab6f8f","jembed.ts","acbdf8d0-b0be-11f1-b546-1607ee4eb77e",125,["D",1789446901219],"/* تضمين دلالي عبر Jina — نص مختصر مركّز لتوفير الرموز:\n العنوان + الوسوم + أول ٦٠٠ حرف من الملخّصات (الجوهر عادةً بالبداية). */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst KEY = () => Deno.env.get(\"JINA_KEY2\") || Deno.env.get(\"JINA_KEY\") || \"\";\nconst DIM = 512;\n\nfunction splitExtra(extra: string) {\n const p = String(extra || \"\").split(\" \\n \");\n if (p.length >= 3 && p[0] === p[1] && p[1] === p[2]) return { kw: p[0], tag: p[3] || \"\" };\n return { kw: \"\", tag: \"\" };\n}\n\nexport function docText(r: any) {\n const s = splitExtra(r.extra);\n return [\n String(r.title || \"\"),\n s.kw ? \"Keywords: \" + s.kw.slice(0, 400) : \"\",\n String(r.ov || \"\").slice(0, 300),\n (r.plots || []).join(\" \").slice(0, 600),\n ].filter(Boolean).join(\". \").slice(0, 1400);\n}\n\nexport async function embed(texts: string[], task: \"retrieval.passage\" | \"retrieval.query\") {\n const r = await fetch(\"https://api.jina.ai/v1/embeddings\", {\n method: \"POST\",\n headers: { \"content-type\": \"application/json\", authorization: \"Bearer \" + KEY() },\n body: JSON.stringify({ model: \"jina-embeddings-v3\", task, dimensions: DIM, input: texts }),\n signal: AbortSignal.timeout(50000),\n });\n const j = await r.json();\n if (!j?.data) throw new Error(JSON.stringify(j).slice(0, 200));\n return { vecs: j.data.map((d: any) => d.embedding as number[]), tokens: j?.usage?.total_tokens || 0 };\n}\n\n/* تخزين المتجهات: Float32 مضغوطة كـbase64 — أصغر بكثير من JSON */\nfunction packVecs(vecs: number[][]) {\n const f = new Float32Array(vecs.length * DIM);\n vecs.forEach((v, i) => f.set(v, i * DIM));\n let bin = \"\";\n const b = new Uint8Array(f.buffer);\n for (let i = 0; i < b.length; i += 8192) bin += String.fromCharCode(...b.subarray(i, i + 8192));\n return btoa(bin);\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"500\");\n const out: any = { start, count };\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n /* الأعمال مرتّبة بالأهمية، ونضمن حضور كل حالات الاختبار ضمن العيّنة */\n const slice = C.slice(start, start + count);\n if (!slice.length) return Response.json({ done: true, total: C.length });\n\n const B = 64;\n const all: number[][] = [];\n let tokens = 0;\n const t0 = Date.now();\n for (let i = 0; i < slice.length; i += B) {\n const texts = slice.slice(i, i + B).map(docText);\n try {\n const e = await embed(texts, \"retrieval.passage\");\n all.push(...e.vecs); tokens += e.tokens;\n /* ⚠️ حدّ مقاس: ١٠٠ ألف رمز/دقيقة. الدفعة ~٢٠ ألف رمز، فنهدّئ ١٣ث بين الدفعات */\n if (i + B < slice.length) await new Promise(r => setTimeout(r, 13000));\n } catch (err) {\n out.error = String(err).slice(0, 200);\n break;\n }\n }\n out.مضمَّن = all.length;\n out.رموز = tokens;\n out.ms = Date.now() - t0;\n\n if (all.length) {\n const key = \"vecs_\" + start;\n await blob.setJSON(key, {\n start, n: all.length, dim: DIM,\n ids: slice.slice(0, all.length).map(r => r.kind + \":\" + r.id),\n titles: slice.slice(0, all.length).map(r => r.title),\n b64: packVecs(all),\n });\n out.مخزَّن = key;\n }\n out.التالي = start + all.length;\n return Response.json(out);\n}\n",[353],"138638d2-edbf-4e39-a85e-b9529f624936","index6.ts","3df4bdb8-b081-11f1-99ef-1607ee4eb77e",111,["D",1789420456174],"/* الحفر في تطبيع الطول: نحذف الكلمات الوظيفية **عند الفهرسة** لا عند البحث.\n الفرق جوهري: الحذف عند البحث يفقد السياق، أما الحذف عند الفهرسة فيمنع\n النصوص الطويلة من تكديس درجات من \"the/and/to\" — بلا فقد أي كلمة مضمون. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been being am \" +\n \"about after before while during into onto over under out up down off through across against between among \" +\n \"who whom whose that this these those which what when where how why there here \" +\n \"he she it they them him her his hers its their theirs we us our ours you your i me my mine \" +\n \"not no nor none any some all both each few more most other such only own same so than too very \" +\n \"can will just should now does do did done has have had having would could may might must \" +\n \"also then thus however therefore because since until though although if else \" +\n \"one two three s t d ll re ve m\").split(\" \"));\n\nconst strip = (s: string) =>\n (String(s || \"\").toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => !STOP.has(w) && w.length > 1).join(\" \");\n\nfunction splitExtra(extra: string) {\n const p = String(extra || \"\").split(\" \\n \");\n if (p.length >= 3 && p[0] === p[1] && p[1] === p[2]) return { kw: p[0], tag: p[3] || \"\" };\n return { kw: \"\", tag: \"\" };\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"1800\");\n const cap = Number(u.searchParams.get(\"cap\") || \"0\"); /* 0 = بلا تقصير */\n const table = cap ? \"plot7\" : \"plot6\";\n const out: any = { table, cap };\n\n if (start === 0) {\n await sqlite.execute(`DROP TABLE IF EXISTS ${table}`);\n await sqlite.execute(`CREATE VIRTUAL TABLE ${table} USING fts5(\n title, plots, kw, kind UNINDEXED, year UNINDEXED, tmdbid UNINDEXED, tokenize='porter unicode61')`);\n out.created = true;\n }\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const slice = C.slice(start, start + count);\n const t = Date.now();\n for (let i = 0; i < slice.length; i += 40) {\n await sqlite.batch(slice.slice(i, i + 40).map(r => {\n const s = splitExtra(r.extra);\n let body = strip([String(r.ov || \"\"), (r.plots || []).join(\" \")].join(\" \"));\n if (cap) body = body.split(\" \").slice(0, cap).join(\" \");\n return {\n sql: `INSERT INTO ${table} (title, plots, kw, kind, year, tmdbid) VALUES (?, ?, ?, ?, ?, ?)`,\n args: [String(r.title || \"\"), body, strip([s.kw, s.tag].join(\" \")),\n String(r.kind || \"\"), String(r.year || \"\"), String(r.id || \"\")],\n };\n }));\n }\n const rc = await sqlite.execute(`SELECT count(*) FROM ${table}`);\n out.inserted = slice.length; out.ms = Date.now() - t;\n out.total = rc.rows[0][0]; out.next = start + count < C.length ? start + count : null;\n return Response.json(out);\n}\n",[360],"7e58dd2d-ec82-4d8b-b23f-680a1b446a8b","index5.ts","092ea8b0-b080-11f1-b300-1607ee4eb77e",117,["D",1789421774697],"/* الحل الجذري: فهرس واحد بعمودين منفصلين (ملخّصات · وسوم).\n FTS5 يدعم وزناً مستقلاً لكل عمود داخل bm25() — فلا دمج رتب ولا فقدان درجات،\n ونضبط الوزن بالقياس بدل الاختيار بين فهرسين. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nfunction splitExtra(extra: string) {\n const p = String(extra || \"\").split(\" \\n \");\n if (p.length >= 3 && p[0] === p[1] && p[1] === p[2]) return { kw: p[0], tag: p[3] || \"\" };\n return { kw: \"\", tag: \"\" };\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"1800\");\n const out: any = {};\n\n if (start === 0) {\n await sqlite.execute(`DROP TABLE IF EXISTS plot5`);\n await sqlite.execute(`CREATE VIRTUAL TABLE plot5 USING fts5(\n title, plots, kw, kind UNINDEXED, year UNINDEXED, tmdbid UNINDEXED,\n tokenize='porter unicode61')`);\n out.created = true;\n }\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const slice = C.slice(start, start + count);\n const t = Date.now();\n for (let i = 0; i < slice.length; i += 40) {\n await sqlite.batch(slice.slice(i, i + 40).map(r => {\n const s = splitExtra(r.extra);\n return {\n sql: `INSERT INTO plot5 (title, plots, kw, kind, year, tmdbid) VALUES (?, ?, ?, ?, ?, ?)`,\n args: [String(r.title || \"\"),\n [String(r.ov || \"\"), (r.plots || []).join(\" \")].join(\" \\n \"),\n [s.kw, s.tag].filter(Boolean).join(\" \\n \"),\n String(r.kind || \"\"), String(r.year || \"\"), String(r.id || \"\")],\n };\n }));\n }\n const rc = await sqlite.execute(`SELECT count(*) FROM plot5`);\n out.inserted = slice.length; out.ms = Date.now() - t;\n out.total = rc.rows[0][0]; out.next = start + count < C.length ? start + count : null;\n return Response.json(out);\n}\n",[367],"53a8abe7-e4fe-4b17-9f5f-59d0cb8c1041","index4.ts","dc0a33b2-b076-11f1-8592-1607ee4eb77e",101,["D",1789415996938],"/* فهرس رابع: ملخّصات + وسوم + شعارات فقط — بلا اقتباسات ولا طرائف (مصدر التشويش المقاس) */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\n/* extra بُني هكذا: [kw, kw, kw, taglines, quotes, trivia].join(\" \\n \")\n فالمقاطع الثلاثة الأولى متطابقة (الوسوم) والرابع الشعارات. */\nfunction splitExtra(extra: string) {\n const p = String(extra || \"\").split(\" \\n \");\n if (p.length >= 3 && p[0] === p[1] && p[1] === p[2]) {\n return { kw: p[0], taglines: p[3] || \"\", rest: p.slice(4).join(\" \") };\n }\n return { kw: \"\", taglines: \"\", rest: p.join(\" \") };\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"1500\");\n const out: any = {};\n\n if (start === 0) {\n await sqlite.execute(`DROP TABLE IF EXISTS plot4`);\n await sqlite.execute(`CREATE VIRTUAL TABLE plot4 USING fts5(\n title, kind UNINDEXED, year UNINDEXED, tmdbid UNINDEXED, body, tokenize='porter unicode61')`);\n out.created = true;\n }\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const slice = C.slice(start, start + count);\n let withKw = 0;\n const t = Date.now();\n for (let i = 0; i < slice.length; i += 40) {\n await sqlite.batch(slice.slice(i, i + 40).map(r => {\n const s = splitExtra(r.extra);\n if (s.kw) withKw++;\n return {\n sql: `INSERT INTO plot4 (title, kind, year, tmdbid, body) VALUES (?, ?, ?, ?, ?)`,\n args: [String(r.title || \"\"), String(r.kind || \"\"), String(r.year || \"\"), String(r.id || \"\"),\n [String(r.ov || \"\"), (r.plots || []).join(\" \"), s.kw, s.kw, s.taglines].filter(Boolean).join(\" \\n \")],\n };\n }));\n }\n const rc = await sqlite.execute(`SELECT count(*) FROM plot4`);\n out.inserted = slice.length; out.withKeywords = withKw; out.ms = Date.now() - t;\n out.total = rc.rows[0][0]; out.next = start + count < C.length ? start + count : null;\n return Response.json(out);\n}\n",[374],"16dfd65e-36fa-4485-b2b9-23c103ef12fd","index3.ts","67836bd0-b076-11f1-bde9-1607ee4eb77e",99,["D",1789415811270],"/* فهرس مُثرى: ملخّصات + وسوم + اقتباسات + شعارات + طرائف */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"2000\");\n const out: any = {};\n\n if (start === 0) {\n await sqlite.execute(`DROP TABLE IF EXISTS plot3`);\n await sqlite.execute(`CREATE VIRTUAL TABLE plot3 USING fts5(\n title, kind UNINDEXED, year UNINDEXED, tmdbid UNINDEXED, body, tokenize='porter unicode61')`);\n out.created = true;\n }\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const slice = C.slice(start, start + count);\n const t = Date.now();\n /* ⚠️ دفعة ١٥٠ تجاوزت حد حجم الطلب بعد الإثراء (النص تضاعف) — خُفّضت إلى ٣٠ */\n for (let i = 0; i < slice.length; i += 30) {\n await sqlite.batch(slice.slice(i, i + 30).map(r => ({\n sql: `INSERT INTO plot3 (title, kind, year, tmdbid, body) VALUES (?, ?, ?, ?, ?)`,\n args: [String(r.title || \"\"), String(r.kind || \"\"), String(r.year || \"\"), String(r.id || \"\"),\n [String(r.ov || \"\"), (r.plots || []).join(\" \"), String(r.extra || \"\")].join(\" \\n \")],\n })));\n }\n const rc = await sqlite.execute(`SELECT count(*) FROM plot3`);\n out.inserted = slice.length; out.ms = Date.now() - t;\n out.total = rc.rows[0][0]; out.next = start + count < C.length ? start + count : null;\n return Response.json(out);\n}\n",[381],"48ad11c9-a4ec-4cca-945c-ace95fd057b0","index2.ts","7e45a40e-b072-11f1-a522-1607ee4eb77e",88,["D",1789414121637],"/* ينقل القاعدة الجديدة لفهرس FTS5 (جدول منفصل حتى لا نكسر القديم قبل التأكد) */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"1500\");\n const out: any = {};\n\n if (start === 0) {\n await sqlite.execute(`DROP TABLE IF EXISTS plot2`);\n await sqlite.execute(`CREATE VIRTUAL TABLE plot2 USING fts5(\n title, kind UNINDEXED, year UNINDEXED, tmdbid UNINDEXED, body, tokenize='porter unicode61')`);\n out.created = true;\n }\n\n const C: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const slice = C.slice(start, start + count);\n const t = Date.now();\n for (let i = 0; i < slice.length; i += 200) {\n await sqlite.batch(slice.slice(i, i + 200).map(r => ({\n sql: `INSERT INTO plot2 (title, kind, year, tmdbid, body) VALUES (?, ?, ?, ?, ?)`,\n args: [String(r.title || \"\"), String(r.kind || \"\"), String(r.year || \"\"), String(r.id || \"\"),\n String(r.ov || \"\") + \" \" + (r.plots || []).join(\" \")],\n })));\n }\n const rc = await sqlite.execute(`SELECT count(*) FROM plot2`);\n out.inserted = slice.length;\n out.ms = Date.now() - t;\n out.totalInTable = rc.rows[0][0];\n out.corpusTotal = C.length;\n out.next = start + count < C.length ? start + count : null;\n return Response.json(out);\n}\n",[388],"d2d683fb-48b0-4ab3-876a-b82e4ff33f87","imdbserve.ts","b5669678-b009-11f1-a5b1-1607ee4eb77e",76,["D",1789369116962],"/* يضمن أعمال الاختبار + يخدم قاعدة IMDb للقياس */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\nconst KEY = \"imdbcorpus_v1\";\n\nconst WANT: [string, string][] = [\n [\"movie\", \"A Quiet Place\"], [\"tv\", \"Dark\"], [\"movie\", \"Inception\"], [\"tv\", \"Squid Game\"],\n [\"tv\", \"Severance\"], [\"movie\", \"The Sixth Sense\"], [\"movie\", \"Up\"], [\"movie\", \"Groundhog Day\"],\n [\"tv\", \"Breaking Bad\"], [\"movie\", \"The Lincoln Lawyer\"], [\"movie\", \"The Matrix\"],\n [\"movie\", \"Interstellar\"], [\"movie\", \"Parasite\"], [\"tv\", \"Chernobyl\"], [\"movie\", \"Titanic\"],\n];\n\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\nasync function plots(id: string) {\n try {\n const r = await fetch(GQL, { method: \"POST\", headers: H, signal: AbortSignal.timeout(20000),\n body: JSON.stringify({ query: `query { title(id: ${JSON.stringify(id)}) {\n plots(first: 6) { edges { node { plotText { plainText } } } } } }` }) });\n const d = await r.json();\n return (d?.data?.title?.plots?.edges || []).map((e: any) => String(e.node?.plotText?.plainText || \"\")).filter(Boolean);\n } catch { return []; }\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const all: any[] = (await blob.getJSON(KEY)) as any[] || [];\n\n if (u.searchParams.get(\"ensure\")) {\n const have = new Set(all.map(r => String(r.title || \"\").toLowerCase()));\n const added: string[] = [];\n for (const [kind, name] of WANT) {\n if (have.has(name.toLowerCase())) continue;\n const s = await j(`${SH}/tmdb/search/${kind}?query=${encodeURIComponent(name)}`);\n const x = s?.results?.[0];\n if (!x) continue;\n const e = await j(`${SH}/tmdb/${kind}/${x.id}/external_ids`);\n if (!e?.imdb_id) continue;\n all.push({\n id: x.id, kind, title: x.title || x.name, imdb: e.imdb_id,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n plots: await plots(e.imdb_id),\n });\n added.push(name);\n }\n await blob.setJSON(KEY, all);\n return Response.json({ added, total: all.length });\n }\n\n return Response.json(all.map(r => ({\n t: r.title, y: r.year, k: r.kind,\n ov: r.ov,\n p: (r.plots || []).join(\" \\n \"),\n })), { headers: { \"access-control-allow-origin\": \"*\" } });\n}\n",[395],"58fcb378-0d8d-4c20-9013-c7fc5129d460","imdbbuild.ts","96cb2102-b009-11f1-ba79-1607ee4eb77e",75,["D",1789369065617],"/* يبني قاعدة قياس مصغَّرة بملخّصات IMDb الكاملة (٦ لكل عمل) */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\nconst KEY = \"imdbcorpus_v1\";\n\nasync function gql(q: string) {\n try {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query: q }), signal: AbortSignal.timeout(20000) });\n return await r.json();\n } catch { return null; }\n}\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\n\n/* نسحب ملخّصات ٥ أعمال بنداء واحد عبر الأسماء المستعارة — يقلّل النداءات ٥ أضعاف */\nasync function plotsBatch(ids: string[]) {\n const alias = ids.map((id, i) => `t${i}: title(id: ${JSON.stringify(id)}) {\n titleText { text } plots(first: 6) { edges { node { plotText { plainText } plotType } } } }`).join(\" \");\n const r = await gql(`query { ${alias} }`);\n return ids.map((id, i) => {\n const t = r?.data?.[`t${i}`];\n const texts = (t?.plots?.edges || []).map((e: any) => String(e.node?.plotText?.plainText || \"\")).filter(Boolean);\n return { id, imdbTitle: t?.titleText?.text || \"\", plots: texts };\n });\n}\n\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n const out: R[] = []; let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; out[k] = await fn(items[k]); }\n }));\n return out;\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"1\");\n const to = Number(u.searchParams.get(\"to\") || \"3\");\n\n let prev: any[] = [];\n try { prev = (await blob.getJSON(KEY)) as any[] || []; } catch { /* أول مرة */ }\n const seen = new Set(prev.map((r: any) => r.kind + \":\" + r.id));\n\n /* ١) نجمع أعمالاً من TMDB مع معرّف IMDb */\n const pages: [string, number][] = [];\n for (let p = from; p <= to; p++) { pages.push([\"movie\", p]); pages.push([\"tv\", p]); }\n const base = (await pool(pages, 6, async ([kind, p]) => {\n const d = await j(`${SH}/tmdb/discover/${kind}?sort_by=popularity.desc&page=${p}&vote_count.gte=100`);\n return (d?.results || []).map((x: any) => ({\n id: x.id, kind, title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n }));\n })).flat().filter((r: any) => !seen.has(r.kind + \":\" + r.id));\n\n /* ٢) معرّف IMDb لكل عمل */\n const withImdb = await pool(base, 12, async (r: any) => {\n const e = await j(`${SH}/tmdb/${r.kind}/${r.id}/external_ids`);\n r.imdb = e?.imdb_id || null;\n return r;\n });\n const ok = withImdb.filter((r: any) => r.imdb);\n\n /* ٣) ملخّصات IMDb — دفعات من ٥ */\n const groups: any[][] = [];\n for (let i = 0; i < ok.length; i += 5) groups.push(ok.slice(i, i + 5));\n const plotted = await pool(groups, 5, async (g: any[]) => {\n const res = await plotsBatch(g.map(r => r.imdb));\n g.forEach((r, i) => { r.plots = res[i]?.plots || []; });\n return g;\n });\n\n const all = prev.concat(plotted.flat());\n await blob.setJSON(KEY, all);\n const withPlots = all.filter((r: any) => (r.plots || []).length);\n return Response.json({\n added: plotted.flat().length, total: all.length,\n withPlots: withPlots.length,\n avgPlots: +(withPlots.reduce((a: number, r: any) => a + r.plots.length, 0) / (withPlots.length || 1)).toFixed(1),\n });\n}\n",[402],"280e4a4f-4566-459c-92bb-8443a1416b83","imdbbench.ts","d212ec36-b009-11f1-b6b8-1607ee4eb77e",77,["D",1789369165061],"/* القياس المقارن داخل Val Town: ملخّص TMDB مقابل ملخّصات IMDb — نفس الخوارزمية بالضبط */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nconst CASES: [string, string][] = [\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"A Quiet Place\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"Dark\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"Inception\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"Squid Game\"],\n [\"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\", \"Severance\"],\n [\"فلم عن ولد صغير يقدر يشوف الأموات\", \"The Sixth Sense\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"Up\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"Groundhog Day\"],\n [\"مسلسل عن مدرس كيمياء يصير يصنع مخدرات\", \"Breaking Bad\"],\n [\"فلم عن محامي يشتغل من سيارته\", \"The Lincoln Lawyer\"],\n [\"فلم عن عالم افتراضي والبطل ياخذ حبة حمرا\", \"The Matrix\"],\n [\"فلم عن سفر بالفضاء عبر ثقب دودي عشان ينقذون البشرية\", \"Interstellar\"],\n [\"فلم كوري عن عائلة فقيرة تشتغل عند عائلة غنية\", \"Parasite\"],\n [\"مسلسل عن انفجار مفاعل نووي بالاتحاد السوفيتي\", \"Chernobyl\"],\n [\"فلم عن سفينة تضرب جبل جليد وتغرق\", \"Titanic\"],\n];\n\nconst tok = (s: string) => (s || \"\").toLowerCase().match(/[a-z0-9]+/g) || [];\n\n/* BM25 بسيط ومطابق للمكتبة القياسية بمعاملاتها الافتراضية */\nfunction buildBM25(docs: string[][]) {\n const N = docs.length;\n const df = new Map();\n for (const d of docs) for (const w of new Set(d)) df.set(w, (df.get(w) || 0) + 1);\n const len = docs.map(d => d.length);\n const avg = len.reduce((a, b) => a + b, 0) / N;\n const tf = docs.map(d => { const m = new Map(); for (const w of d) m.set(w, (m.get(w) || 0) + 1); return m; });\n const k1 = 1.5, b = 0.75;\n return (q: string[]) => {\n const s = new Float64Array(N);\n for (const w of q) {\n const n = df.get(w); if (!n) continue;\n const idf = Math.log(1 + (N - n + 0.5) / (n + 0.5));\n for (let i = 0; i < N; i++) {\n const f = tf[i].get(w); if (!f) continue;\n s[i] += idf * (f * (k1 + 1)) / (f + k1 * (1 - b + b * len[i] / avg));\n }\n }\n return s;\n };\n}\n\nexport default async function (req: Request): Promise {\n const C: any[] = (await blob.getJSON(\"imdbcorpus_v1\")) as any[] || [];\n const titles = C.map(r => String(r.title || \"\"));\n\n const bmTMDB = buildBM25(C.map(r => tok(r.ov)));\n const bmIMDB = buildBM25(C.map(r => tok((r.plots || []).join(\" \"))));\n const bmBOTH = buildBM25(C.map(r => tok(r.ov + \" \" + (r.plots || []).join(\" \"))));\n\n const res: any = { corpus: C.length, cases: [] };\n const tally: any = { tmdb: [0, 0, 0], imdb: [0, 0, 0], both: [0, 0, 0] };\n\n for (const [ar, exp] of CASES) {\n let en = ar;\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل بالعربي */ }\n const q = tok(en);\n\n const row: any = { exp };\n for (const [name, fn] of [[\"tmdb\", bmTMDB], [\"imdb\", bmIMDB], [\"both\", bmBOTH]] as [string, any][]) {\n const s = fn(q);\n const order = Array.from(s.keys()).sort((a: number, b: number) => s[b] - s[a]);\n const rank = order.findIndex((i: number) => titles[i].toLowerCase() === exp.toLowerCase());\n row[name] = rank;\n row[name + \"Top\"] = titles[order[0]];\n if (rank === 0) tally[name][0]++;\n if (rank >= 0 && rank < 5) tally[name][1]++;\n if (rank >= 0 && rank < 20) tally[name][2]++;\n }\n res.cases.push(row);\n }\n res.summary = {\n \"ملخص TMDB\": `أول ${tally.tmdb[0]}/15 · ضمن٥ ${tally.tmdb[1]}/15 · ضمن٢٠ ${tally.tmdb[2]}/15`,\n \"ملخصات IMDb\": `أول ${tally.imdb[0]}/15 · ضمن٥ ${tally.imdb[1]}/15 · ضمن٢٠ ${tally.imdb[2]}/15`,\n \"الاثنان معاً\": `أول ${tally.both[0]}/15 · ضمن٥ ${tally.both[1]}/15 · ضمن٢٠ ${tally.both[2]}/15`,\n };\n return Response.json(res);\n}\n",[409],"52038205-3cbb-440f-b943-96f484fbf6db","fusion.ts","f61c7c70-b07f-11f1-8667-1607ee4eb77e",103,["D",1789419906144],"/* الحل بلا مقايضة: نسأل الفهرسين معاً وندمج بالرتب (RRF).\n العمل الذي يعلو بأي فهرس يرتفع بالنتيجة النهائية — فلا نخسر ما ربحه أيٌّ منهما. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { CASES } from \"./cases.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nasync function run(table: string, terms: string[], lim = 40) {\n const r = await sqlite.execute({\n sql: `SELECT title FROM ${table} WHERE ${table} MATCH ? ORDER BY bm25(${table},1.0,1.0) LIMIT ${lim}`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\n/* دمج الرتب: كل قائمة تعطي العمل نقاطاً بحسب موقعه فيها.\n K=60 قيمة قياسية بأبحاث الاسترجاع — تمنع سيطرة المركز الأول المطلقة. */\nfunction rrf(lists: string[][], weights: number[], K = 60) {\n const s = new Map();\n lists.forEach((l, li) => l.forEach((t, i) => {\n s.set(t, (s.get(t) || 0) + weights[li] / (K + i + 1));\n }));\n return [...s.entries()].sort((a, b) => b[1] - a[1]).map(([t]) => t);\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"أصلي\", \"وسوم\", \"دمج ١:١\", \"دمج ٢:١ للأصلي\", \"دمج ١:٢ للوسوم\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n let en = ar;\n if (/[\\u0600-\\u06FF]/.test(ar)) {\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(12000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل */ }\n }\n const terms = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n const A = await run(\"plot2\", terms);\n const B = await run(\"plot4\", terms);\n\n const lists: Record = {\n \"أصلي\": A, \"وسوم\": B,\n \"دمج ١:١\": rrf([A, B], [1, 1]),\n \"دمج ٢:١ للأصلي\": rrf([A, B], [2, 1]),\n \"دمج ١:٢ للوسوم\": rrf([A, B], [1, 2]),\n };\n\n const want = norm(exp);\n const parts: string[] = [];\n for (const v of V) {\n const rk = lists[v].findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : \"#\" + (rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" | \")}`);\n }\n\n const n = rows.length;\n return Response.json({\n أعمدة: V.join(\" | \"),\n النتيجة: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[416],"5a5b7fae-d53e-4632-9966-556182d45290","fts.ts","1738d752-b01a-11f1-938c-1607ee4eb77e",83,["D",1789376153020],"/* اختبار معماري حاسم: SQLite FTS5 بدل إعادة بناء الفهرس بكل نداء.\n FTS5 يخزّن الفهرس مرة واحدة ويرتّب بـBM25 داخلياً — نفس الخوارزمية، بلا كلفة بناء. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const out: any = {};\n\n if (u.searchParams.get(\"build\")) {\n let t = Date.now();\n await sqlite.execute(`DROP TABLE IF EXISTS plotfts`);\n await sqlite.execute(`CREATE VIRTUAL TABLE plotfts USING fts5(\n title, kind UNINDEXED, year UNINDEXED, tmdbid UNINDEXED, body, tokenize='porter unicode61')`);\n out.createMs = Date.now() - t;\n\n t = Date.now();\n const C: any[] = (await blob.getJSON(\"imdbcorpus_v1\")) as any[] || [];\n out.loadMs = Date.now() - t;\n\n t = Date.now();\n const B = 200;\n let n = 0;\n for (let i = 0; i < C.length; i += B) {\n const chunk = C.slice(i, i + B);\n const stmts = chunk.map(r => ({\n sql: `INSERT INTO plotfts (title, kind, year, tmdbid, body) VALUES (?, ?, ?, ?, ?)`,\n args: [String(r.title || \"\"), String(r.kind || \"\"), String(r.year || \"\"), String(r.id || \"\"),\n String(r.ov || \"\") + \" \" + (r.plots || []).join(\" \")],\n }));\n await sqlite.batch(stmts);\n n += chunk.length;\n }\n out.insertMs = Date.now() - t;\n out.inserted = n;\n return Response.json(out);\n }\n\n /* بحث */\n const q = u.searchParams.get(\"q\") || \"family lives in complete silence because monsters hunt by sound\";\n /* FTS5 يحتاج تنظيف الرموز الخاصة، ونستعمل OR لأن AND يقصي كثيراً */\n const terms = (q.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n const match = terms.map(w => `\"${w}\"`).join(\" OR \");\n\n const t = Date.now();\n const r = await sqlite.execute({\n sql: `SELECT title, kind, year, tmdbid, bm25(plotfts, 1.0, 1.0) AS score\n FROM plotfts WHERE plotfts MATCH ? ORDER BY score LIMIT 10`,\n args: [match],\n });\n out.searchMs = Date.now() - t;\n out.terms = terms.length;\n out.results = (r.rows || []).map((x: any) => `${x[0]} (${x[2]}) ${Number(x[4]).toFixed(2)}`);\n return Response.json(out);\n}\n",[423],"aa00b4f2-7ded-40c9-b5ed-1adbbe015460","finalbench.ts","8f92fc08-b076-11f1-8e51-1607ee4eb77e",102,["D",1789416048918],"/* القياس الحاسم الثلاثي: أصلي · مُثرى كامل · وسوم فقط */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { CASES } from \"./cases.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\nconst T = [[\"أصلي\", \"plot2\"], [\"مُثرى كامل\", \"plot3\"], [\"وسوم فقط\", \"plot4\"]] as [string, string][];\n\nasync function run(table: string, terms: string[]) {\n const r = await sqlite.execute({\n sql: `SELECT title FROM ${table} WHERE ${table} MATCH ? ORDER BY bm25(${table},1.0,1.0) LIMIT 20`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const tally: any = {}; for (const [n] of T) tally[n] = [0, 0, 0];\n const rows: string[] = [];\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n let en = ar;\n if (/[\\u0600-\\u06FF]/.test(ar)) {\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(12000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل */ }\n }\n const terms = (en.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n const want = norm(exp);\n const parts: string[] = [];\n for (const [name, tbl] of T) {\n const list = await run(tbl, terms);\n const rk = list.findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[name][0]++;\n if (rk >= 0 && rk < 5) tally[name][1]++;\n if (rk >= 0 && rk < 20) tally[name][2]++;\n parts.push(rk < 0 ? \"خارج\" : \"#\" + (rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" | \")}`);\n }\n\n const n = rows.length;\n return Response.json({\n ترتيب_الأعمدة: \"أصلي | مُثرى كامل | وسوم فقط\",\n النتيجة: Object.fromEntries(T.map(([name]) =>\n [name, `أول ${tally[name][0]}/${n} · ضمن٥ ${tally[name][1]}/${n} · ضمن٢٠ ${tally[name][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[430],"eb81fb4b-73d5-4845-ae1d-2f60a69aa629",["D",1789448372912],[28],"58e27435-2674-4dbb-93c7-754ee1424c9c","enrich2.ts","31f58a3e-b076-11f1-b8da-1607ee4eb77e",97,["D",1789415711556],"/* إثراء القاعدة بالمصادر الأربعة المكتشَفة: وسوم · اقتباسات · شعارات · معلومات طريفة */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\nconst KEY = \"corpus_v2\";\n\nasync function gql(q: string) {\n try {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query: q }), signal: AbortSignal.timeout(20000) });\n return await r.json();\n } catch { return null; }\n}\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; await fn(items[k]); }\n }));\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const start = Number(u.searchParams.get(\"start\") || \"0\");\n const count = Number(u.searchParams.get(\"n\") || \"700\");\n\n const all: any[] = (await blob.getJSON(KEY)) as any[] || [];\n const slice = all.slice(start, start + count).filter(r => r.imdb && !r.extra);\n\n const groups: any[][] = [];\n for (let i = 0; i < slice.length; i += 5) groups.push(slice.slice(i, i + 5));\n\n const t0 = Date.now();\n await pool(groups, 6, async (g: any[]) => {\n const alias = g.map((r, i) => `t${i}: title(id: ${JSON.stringify(r.imdb)}) {\n taglines(first: 4) { edges { node { text } } }\n quotes(first: 10) { edges { node { lines { text } } } }\n trivia(first: 6) { edges { node { text { plainText } } } }\n keywords(first: 25) { edges { node { text } } } }`).join(\" \");\n const res = await gql(`query { ${alias} }`);\n g.forEach((r, i) => {\n const t = res?.data?.[`t${i}`];\n if (!t) return;\n const tags = (t.taglines?.edges || []).map((e: any) => e.node?.text).filter(Boolean);\n const qs = (t.quotes?.edges || []).map((e: any) =>\n (e.node?.lines || []).map((l: any) => l.text).filter(Boolean).join(\" \")).filter(Boolean);\n const tr = (t.trivia?.edges || []).map((e: any) => e.node?.text?.plainText).filter(Boolean);\n const kw = (t.keywords?.edges || []).map((e: any) => e.node?.text).filter(Boolean);\n /* الوسوم تتكرر ثلاثاً: كلماتها أدق تمييزاً من نثر الاقتباسات، والتكرار يرفع وزنها بـBM25 */\n r.extra = [kw.join(\", \"), kw.join(\", \"), kw.join(\", \"), tags.join(\" \"), qs.join(\" \"), tr.join(\" \")]\n .filter(Boolean).join(\" \\n \").slice(0, 6000);\n });\n });\n\n await blob.setJSON(KEY, all);\n const done = all.filter(r => r.extra).length;\n return Response.json({\n معالَج: slice.length, ms: Date.now() - t0,\n \"لديه إثراء\": done, الإجمالي: all.length,\n التالي: start + count < all.length ? start + count : null,\n });\n}\n",[440],"4bfedf98-1822-4183-8af2-03e15ea129c7","engine.ts","5a8211d8-af9b-11f1-9a30-1607ee4eb77e",["D",1789322565717],"/* ابحث بالوصف — الأنبوب المجاني بالكامل (نسخة ٢: تصويت + تحقّق + عدّ تكرار)\n وصف → /translate (خادم شاشتي) → ٣ بحوث متوازية بـSearXNG (أوراكل) →\n تصويت + عدّ تكرار بالنصوص → TMDB → تحقّق من الملخص → بطاقات.\n صفر ذكاء اصطناعي · صفر حصة · صفر طرف ثالث مدفوع. */\n\nconst SHASHTI = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst SEARX = \"http://145.241.108.185:8888/search\";\n\nconst NOISE = [\n \"imdb\", \"rotten tomatoes\", \"letterboxd\", \"netflix\", \"wikipedia\", \"youtube\",\n \"metacritic\", \"justwatch\", \"prime video\", \"reddit\", \"trailer\", \"official trailer\",\n \"movie review\", \"film review\", \"watch online\", \"cast and crew\", \"plot summary\",\n \"the movie database\", \"tmdb\", \"moviefone\", \"fandom\", \"quotes\", \"ending explained\",\n \"best movies\", \"best tv shows\", \"list of films\", \"similar movies\",\n];\n\n/* كلمات لا تحمل معنى تمييزياً — تُستبعد من التحقّق بالملخص (ب) */\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been \" +\n \"his her its their this that these those who whom which what when where how why \" +\n \"about after before during while into onto over under between out up down off \" +\n \"he she it they them him we you i my your our movie film series show tv season episode \" +\n \"one two three new old man woman boy girl people story about make makes made get gets \" +\n \"must can will would could should has have had do does did not no all some any more most\").split(\" \"));\n\nfunction words(s: string): string[] {\n return String(s || \"\").toLowerCase().replace(/[^a-z0-9\\u0600-\\u06FF]+/g, \" \")\n .split(\" \").filter(w => w.length > 2 && !STOP.has(w));\n}\n\nfunction cleanTitle(raw: string): string {\n let t = String(raw || \"\");\n t = t.split(/\\s+[-–|:]\\s+/)[0];\n t = t.replace(/\$(?:TV\\s+(?:Series|Mini[- ]?Series|Movie)\\s*)?\\d{4}(?:[–-]\\s*\\d{0,4})?\$/gi, \"\");\n t = t.replace(/\$\\s*(?:TV\\s+Series|Film|Movie|مسلسل|فيلم)\\s*\$/gi, \"\");\n t = t.replace(/[\"'“”‘’]/g, \"\").replace(/\\s+/g, \" \").trim();\n t = t.replace(/^(?:watch|stream|أشاهد|شاهد)\\s+/i, \"\").trim();\n return t;\n}\n\nfunction isNoise(t: string): boolean {\n const low = t.toLowerCase();\n if (low.length < 2 || low.length > 60) return true;\n return NOISE.some(n => low === n || low.startsWith(n + \" \") || low.endsWith(\" \" + n));\n}\n\ntype Cand = {\n key: string; imdb?: string; tmdb?: string; tmdbType?: string; title?: string;\n score: number; queries: Set; mentions: number; why: string[];\n};\n\nasync function searx(q: string) {\n const u = SEARX + \"?q=\" + encodeURIComponent(q) + \"&format=json\";\n const r = await fetch(u, { signal: AbortSignal.timeout(22000) });\n if (!r.ok) throw new Error(\"searx \" + r.status);\n const j = await r.json();\n return (j?.results || []) as any[];\n}\n\n/* ═══ (أ) تصويت: نجمع مرشَّحي عدة بحوث بمخزن واحد ═══ */\nfunction harvest(map: Map, results: any[], qTag: string, qWeight: number) {\n const bump = (key: string, w: number, patch: Partial, why: string) => {\n let c = map.get(key);\n if (!c) { c = { key, score: 0, queries: new Set(), mentions: 0, why: [] }; map.set(key, c); }\n for (const k in patch) if ((patch as any)[k] != null && (c as any)[k] == null) (c as any)[k] = (patch as any)[k];\n c.score += w * qWeight;\n c.queries.add(qTag);\n if (c.why.length < 3) c.why.push(why);\n };\n\n results.slice(0, 20).forEach((res, i) => {\n const url = String(res?.url || \"\");\n const title = String(res?.title || \"\");\n const w = 1 / (i + 1);\n\n const tt = url.match(/imdb\\.com\\/title\\/(tt\\d+)/i);\n if (tt) { bump(\"imdb:\" + tt[1], w * 3, { imdb: tt[1], title: cleanTitle(title) }, title.slice(0, 90)); return; }\n\n const tm = url.match(/themoviedb\\.org\\/(movie|tv)\\/(\\d+)/i);\n if (tm) { bump(\"tmdb:\" + tm[1] + \":\" + tm[2], w * 3, { tmdb: tm[2], tmdbType: tm[1].toLowerCase(), title: cleanTitle(title) }, title.slice(0, 90)); return; }\n\n if (/rottentomatoes\\.com|letterboxd\\.com|netflix\\.com|wikipedia\\.org|metacritic\\.com|justwatch\\.com|thetvdb\\.com|trakt\\.tv/i.test(url)) {\n const t = cleanTitle(title);\n if (t && !isNoise(t)) bump(\"name:\" + t.toLowerCase(), w * 2, { title: t }, title.slice(0, 90));\n }\n });\n}\n\n/* ═══ (ج) عدّ تكرار اسم العمل داخل نصوص كل النتائج ═══\n العمل الصحيح يُذكر بعناوين ومقتطفات كثيرة، لا برابط واحد فقط. */\nfunction countMentions(cands: Cand[], allText: string) {\n const hay = allText.toLowerCase();\n for (const c of cands) {\n const t = (c.title || \"\").toLowerCase().trim();\n if (t.length < 3) { c.mentions = 0; continue; }\n let n = 0, from = 0;\n while (true) {\n const at = hay.indexOf(t, from);\n if (at === -1) break;\n n++; from = at + t.length;\n if (n > 40) break;\n }\n c.mentions = n;\n }\n}\n\nasync function tmdbFind(imdb: string) {\n const r = await fetch(SHASHTI + \"/tmdb/find/\" + imdb + \"?external_source=imdb_id\", { signal: AbortSignal.timeout(15000) });\n if (!r.ok) return null;\n const j = await r.json();\n const mv = j?.movie_results?.[0], tv = j?.tv_results?.[0];\n if (mv) return { ...mv, _isMovie: true };\n if (tv) return { ...tv, _isMovie: false };\n return null;\n}\n\nasync function tmdbSearch(name: string) {\n const [m, t] = await Promise.all([\n fetch(SHASHTI + \"/tmdb/search/movie?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n fetch(SHASHTI + \"/tmdb/search/tv?query=\" + encodeURIComponent(name), { signal: AbortSignal.timeout(15000) }).then(r => r.ok ? r.json() : null).catch(() => null),\n ]);\n const norm = (s: any) => String(s || \"\").toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n const want = norm(name);\n const movies = (m?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: true }));\n const shows = (t?.results || []).slice(0, 6).map((x: any) => ({ ...x, _isMovie: false }));\n const all = [...movies, ...shows];\n const exact = all.filter(x => norm(x.title || x.name) === want || norm(x.original_title || x.original_name) === want);\n const pool = exact.length ? exact : all;\n pool.sort((a: any, b: any) => (b.popularity || 0) - (a.popularity || 0));\n return pool[0] || null;\n}\n\nasync function tmdbById(id: string, type: string) {\n const r = await fetch(SHASHTI + \"/tmdb/\" + (type === \"tv\" ? \"tv\" : \"movie\") + \"/\" + id, { signal: AbortSignal.timeout(15000) }).then(x => x.ok ? x.json() : null).catch(() => null);\n if (!r?.id) return null;\n return { ...r, _isMovie: type !== \"tv\" };\n}\n\nexport async function findByPlot(raw: string) {\n const t0 = Date.now();\n const dbg: any = {};\n const arabic = /[\\u0600-\\u06FF]/.test(raw.trim());\n let en = raw.trim();\n\n if (arabic) {\n try {\n const tr = await fetch(SHASHTI + \"/translate?q=\" + encodeURIComponent(raw.trim()) + \"&target=en\", { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (tr?.text) en = String(tr.text);\n } catch { /* نكمل بالنص كما هو */ }\n }\n dbg.translated = en;\n\n /* ═══ (أ) ثلاثة بحوث متوازية — صياغات مختلفة، إجماعها أوثق من ترتيب بحث واحد ═══\n ١) الإنجليزي + \"movie or tv series\" (الصياغة الأصلية، أثبتت نجاحها)\n ٢) الإنجليزي عارياً + \"what movie is\" (صياغة السؤال، تلتقط منتديات وأسئلة الناس)\n ٣) العربي كما كتبه (مقالات عربية تصف الأعمال بلغة المستخدم نفسها) */\n const queries: { tag: string; q: string; w: number }[] = [\n { tag: \"en\", q: en + \" movie or tv series\", w: 1.0 },\n { tag: \"ask\", q: \"what movie or series is this: \" + en, w: 0.9 },\n ];\n if (arabic) queries.push({ tag: \"ar\", q: raw.trim() + \" فلم او مسلسل\", w: 0.8 });\n else queries.push({ tag: \"plot\", q: en + \" plot summary film\", w: 0.8 });\n dbg.queries = queries.map(x => x.q);\n\n const runs = await Promise.all(queries.map(async x => {\n try { return { tag: x.tag, w: x.w, results: await searx(x.q) }; }\n catch (e) { return { tag: x.tag, w: x.w, results: [] as any[], err: String(e).slice(0, 120) }; }\n }));\n dbg.perQuery = runs.map(r => ({ tag: r.tag, n: r.results.length, err: (r as any).err }));\n\n const map = new Map();\n let allText = \"\";\n for (const r of runs) {\n harvest(map, r.results, r.tag, r.w);\n allText += \" \" + r.results.slice(0, 20).map((x: any) => (x?.title || \"\") + \" \" + (x?.content || \"\")).join(\" \");\n }\n\n let cands = [...map.values()];\n countMentions(cands, allText);\n\n /* الدمج النهائي للوزن:\n - وزن الموقع (score) الأساس\n - ×(١ + عدد البحوث اللي ظهر فيها) ← تصويت (أ)\n - + جذر عدد التكرارات ← (ج) */\n for (const c of cands) {\n const vote = 1 + (c.queries.size - 1) * 1.2;\n (c as any).final = c.score * vote + Math.sqrt(c.mentions) * 0.35;\n }\n cands.sort((a: any, b: any) => b.final - a.final);\n cands = cands.slice(0, 8);\n dbg.candidates = cands.map((c: any) => ({\n title: c.title, final: +c.final.toFixed(2), pos: +c.score.toFixed(2),\n votes: [...c.queries].join(\"+\"), mentions: c.mentions,\n }));\n\n /* ═══ تحويل لبطاقات + (ب) التحقّق من الملخص ═══ */\n const qWords = new Set(words(en));\n const items: any[] = [];\n const seen = new Set();\n const rejected: any[] = [];\n\n /* الحل بالتوازي لا بالتسلسل — ثمانية مرشَّحين تسلسلياً كانوا ~١٣ث وحدهم (مقاس) */\n const resolved = await Promise.all(cands.map(async (c) => {\n try {\n if (c.imdb) return { c, hit: await tmdbFind(c.imdb) };\n if (c.tmdb) return { c, hit: await tmdbById(c.tmdb, c.tmdbType || \"movie\") };\n if (c.title) return { c, hit: await tmdbSearch(c.title) };\n } catch { /* مرشَّح فشل، نكمل */ }\n return { c, hit: null as any };\n }));\n\n for (const { c, hit } of resolved) {\n if (items.length >= 5) break;\n if (!hit?.id || seen.has(hit.id)) continue;\n seen.add(hit.id);\n\n /* (ب) التحقّق: كم كلمة معنى مشتركة بين وصفك وملخّص العمل؟ */\n const ovWords = new Set(words((hit.overview || \"\") + \" \" + (hit.title || hit.name || \"\")));\n let shared = 0;\n for (const w of qWords) if (ovWords.has(w)) shared++;\n const overlap = qWords.size ? shared / qWords.size : 0;\n\n const item = {\n id: hit.id,\n imdb: c.imdb || null,\n isMovie: !!hit._isMovie,\n title: hit.title || hit.name || c.title,\n year: String(hit.release_date || hit.first_air_date || \"\").slice(0, 4) || null,\n poster: hit.poster_path ? \"https://image.tmdb.org/t/p/w185\" + hit.poster_path : null,\n overview: hit.overview || \"\",\n rating: hit.vote_average ? Math.round(hit.vote_average * 10) / 10 : null,\n votes: [...c.queries].join(\"+\"),\n voteCount: c.queries.size,\n mentions: c.mentions,\n shared,\n overlap: +overlap.toFixed(2),\n base: +(c as any).final.toFixed(2),\n final: 0,\n why: c.why,\n };\n\n /* الملخّص بصفر كلمة مشتركة **وبلا إجماع** = مرشَّح ضعيف يُسقَط.\n (لو ظهر ببحثين أو أكثر نبقيه — الإجماع يغطّي ملخصاً فقيراً بالكلمات.) */\n if (shared === 0 && c.queries.size < 2 && c.mentions < 3) {\n rejected.push({ title: item.title, reason: \"صفر تطابق بالملخص وبلا إجماع\" });\n continue;\n }\n\n item.final = +((c as any).final * (1 + overlap * 1.5)).toFixed(2);\n items.push(item);\n }\n\n /* الترتيب النهائي بعد التحقّق — التطابق بالملخص يقدر يقلب الترتيب */\n items.sort((a, b) => b.final - a.final);\n dbg.rejected = rejected;\n dbg.ms = Date.now() - t0;\n return { items: items.slice(0, 4), debug: dbg };\n}\n",[447],"afe77f16-63be-4d07-87fe-88e7ff065bdf","embtest.ts","07940258-aff8-11f1-b3bc-1607ee4eb77e",70,["D",1789361552552],"/* محاولة ثانية: نسخة أقدم من المكتبة (onnxruntime-web) — بعض البيئات تدعمها وحدها */\nexport default async function (req: Request): Promise {\n const out: any = {};\n const variants = [\n \"https://esm.sh/@xenova/transformers@2.17.2\",\n \"https://esm.sh/@huggingface/transformers@3.7.5\",\n ];\n for (const url of variants) {\n const o: any = {};\n const t0 = Date.now();\n try {\n const mod: any = await import(url);\n o.import = Date.now() - t0;\n if (mod.env) { mod.env.allowLocalModels = false; mod.env.useBrowserCache = false; }\n const t1 = Date.now();\n const ex: any = await mod.pipeline(\"feature-extraction\", \"Xenova/all-MiniLM-L6-v2\");\n o.load = Date.now() - t1;\n const t2 = Date.now();\n const e = await ex([\"a family lives in silence\"], { pooling: \"mean\", normalize: true });\n o.embed = Date.now() - t2;\n o.dims = e.dims;\n o.ok = true;\n } catch (e) { o.err = String(e).slice(0, 200); }\n out[url] = o;\n if (o.ok) break;\n }\n return Response.json(out);\n}\n",[453],"da644e7a-d7ac-4590-8148-e0962006cf8d","diag.ts","8ef0ba88-b071-11f1-bc59-1607ee4eb77e",95,["D",1789415649603],"/* تشخيص: هل الفشل فجوة لفظية أم غياب من القاعدة؟ */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nexport default async function (req: Request): Promise {\n const out: any = {};\n for (const t of [\"Severance\", \"The Lincoln Lawyer\", \"The Matrix\"]) {\n const r = await sqlite.execute({\n sql: `SELECT title, year, kind, length(body), substr(body,1,320) FROM plot2 WHERE title = ? LIMIT 3`,\n args: [t],\n });\n out[t] = (r.rows || []).map((x: any) => ({\n عنوان: x[0], سنة: x[1], نوع: x[2], طول_النص: x[3], بداية_النص: x[4],\n }));\n if (!(r.rows || []).length) out[t] = \"❌ غير موجود بالقاعدة\";\n }\n\n /* هل الكلمات المفتاحية موجودة بنص كل عمل؟ */\n const probes: [string, string][] = [\n [\"Severance\", \"memories\"], [\"Severance\", \"employees\"], [\"Severance\", \"work\"],\n [\"The Lincoln Lawyer\", \"car\"], [\"The Lincoln Lawyer\", \"lawyer\"], [\"The Lincoln Lawyer\", \"attorney\"],\n [\"The Matrix\", \"pill\"], [\"The Matrix\", \"virtual\"], [\"The Matrix\", \"simulated\"],\n ];\n out[\"فحص_الكلمات\"] = {};\n for (const [t, w] of probes) {\n const r = await sqlite.execute({\n sql: `SELECT count(*) FROM plot2 WHERE title = ? AND body LIKE ?`,\n args: [t, \"%\" + w + \"%\"],\n });\n out[\"فحص_الكلمات\"][t + \" ← \" + w] = Number(r.rows[0][0]) > 0 ? \"✅ موجودة\" : \"❌ غير موجودة\";\n }\n return Response.json(out);\n}\n",[460],"827ab3d0-3256-44df-b92d-fa20d776a2b1","deep.ts","03de0e02-b01a-11f1-9a6d-1607ee4eb77e",82,["D",1789376120553],"/* دراسة عمق: التغطية · الكلفة · زمن الفهرسة مقابل البحث · إشارة \"ما لقيت\" */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst tok = (s: string) => (s || \"\").toLowerCase().match(/[a-z0-9]+/g) || [];\n\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\n\nexport default async function (req: Request): Promise {\n const out: any = {};\n\n /* ═══ ١) الكلفة والحجم ═══ */\n let t = Date.now();\n const C: any[] = (await blob.getJSON(\"imdbcorpus_v1\")) as any[] || [];\n out[\"١_تحميل_القاعدة_من_التخزين\"] = (Date.now() - t) + \"ms\";\n const bytes = new TextEncoder().encode(JSON.stringify(C)).length;\n out[\"٢_حجم_القاعدة\"] = (bytes / 1048576).toFixed(2) + \" MB لـ\" + C.length + \" عملاً\";\n out[\"٣_متوسط_لكل_عمل\"] = Math.round(bytes / C.length) + \" بايت\";\n\n /* ═══ ٢) زمن بناء الفهرس مقابل زمن البحث ═══ */\n t = Date.now();\n const docs = C.map(r => tok(r.ov + \" \" + (r.plots || []).join(\" \")));\n out[\"٤_تقطيع_النصوص\"] = (Date.now() - t) + \"ms\";\n\n t = Date.now();\n const N = docs.length;\n const df = new Map();\n for (const d of docs) for (const w of new Set(d)) df.set(w, (df.get(w) || 0) + 1);\n const len = docs.map(d => d.length);\n const avg = len.reduce((a, b) => a + b, 0) / N;\n const tf = docs.map(d => { const m = new Map(); for (const w of d) m.set(w, (m.get(w) || 0) + 1); return m; });\n out[\"٥_بناء_الفهرس\"] = (Date.now() - t) + \"ms\";\n out[\"٦_مفردات_مميزة\"] = df.size;\n out[\"٧_متوسط_طول_المستند\"] = Math.round(avg) + \" كلمة\";\n\n const score = (q: string[]) => {\n const s = new Float64Array(N);\n for (const w of q) {\n const n = df.get(w); if (!n) continue;\n const idf = Math.log(1 + (N - n + 0.5) / (n + 0.5));\n for (let i = 0; i < N; i++) {\n const f = tf[i].get(w); if (!f) continue;\n s[i] += idf * (f * (1.5 + 1)) / (f + 1.5 * (1 - 0.75 + 0.75 * len[i] / avg));\n }\n }\n return s;\n };\n\n const q1 = tok(\"a family lives in complete silence because monsters hunt by sound\");\n t = Date.now();\n for (let k = 0; k < 20; k++) score(q1);\n out[\"٨_زمن_البحث_الواحد\"] = ((Date.now() - t) / 20).toFixed(1) + \"ms\";\n\n /* ═══ ٣) التغطية — كم عملاً بالعالم مقابل قاعدتنا ═══ */\n const mv = await j(`${SH}/tmdb/discover/movie?sort_by=popularity.desc&vote_count.gte=100&page=1`);\n const tv = await j(`${SH}/tmdb/discover/tv?sort_by=popularity.desc&vote_count.gte=100&page=1`);\n const totalWorld = (mv?.total_results || 0) + (tv?.total_results || 0);\n out[\"٩_التغطية\"] = {\n \"أعمال بالقاعدة\": C.length,\n \"أعمال بالعالم (≥١٠٠ صوت)\": totalWorld,\n \"النسبة\": (C.length / (totalWorld || 1) * 100).toFixed(1) + \"٪\",\n };\n\n /* ═══ ٤) هل يعرف أنه \"ما لقى\"؟ — مقارنة درجات وصف حقيقي بوصف وهمي ═══ */\n const real = score(tok(\"a man enters dreams to plant an idea in someone mind\"));\n const fake = score(tok(\"a purple elephant teaches quantum accounting to submarines in kuwait\"));\n const topN = (s: Float64Array, n: number) => Array.from(s).sort((a, b) => b - a).slice(0, n);\n const rt = topN(real, 3), ft = topN(fake, 3);\n out[\"١٠_إشارة_ما_لقيت\"] = {\n \"وصف حقيقي — أعلى درجة\": rt[0].toFixed(2),\n \"وصف وهمي — أعلى درجة\": ft[0].toFixed(2),\n \"الفجوة\": (rt[0] - ft[0]).toFixed(2),\n \"الفرق بين الأول والثالث (حقيقي)\": (rt[0] - rt[2]).toFixed(2),\n \"الفرق بين الأول والثالث (وهمي)\": (ft[0] - ft[2]).toFixed(2),\n };\n\n /* ═══ ٥) توزيع الملخصات ═══ */\n const plotCounts = C.map(r => (r.plots || []).length);\n const noPlot = plotCounts.filter(x => x === 0).length;\n const avgLen = C.reduce((a, r) => a + (r.plots || []).join(\" \").length, 0) / C.length;\n out[\"١١_جودة_البيانات\"] = {\n \"بلا ملخص IMDb\": noPlot + \" (\" + (noPlot / C.length * 100).toFixed(1) + \"٪)\",\n \"متوسط عدد الملخصات\": (plotCounts.reduce((a, b) => a + b, 0) / C.length).toFixed(1),\n \"متوسط طول نص IMDb\": Math.round(avgLen) + \" حرف\",\n \"متوسط طول نص TMDB\": Math.round(C.reduce((a, r) => a + (r.ov || \"\").length, 0) / C.length) + \" حرف\",\n };\n\n /* ═══ ٦) توزيع الأنواع والسنوات ═══ */\n const tvN = C.filter(r => r.kind === \"tv\").length;\n const years = C.map(r => Number(r.year) || 0).filter(y => y > 1900);\n const before2000 = years.filter(y => y < 2000).length;\n out[\"١٢_تركيبة_القاعدة\"] = {\n \"أفلام\": C.length - tvN, \"مسلسلات\": tvN,\n \"قبل ٢٠٠٠\": before2000 + \" (\" + (before2000 / years.length * 100).toFixed(1) + \"٪)\",\n \"أقدم عمل\": Math.min(...years), \"أحدث\": Math.max(...years),\n };\n\n return Response.json(out);\n}\n",[467],"7d744df7-1144-428d-96f7-18b9d3154605","coverage.ts","71fcfd6e-b072-11f1-8f30-1607ee4eb77e",87,["D",1789414100964],"/* فحص تغطية القاعدة الجديدة على أعمال لم تُضَف يدوياً */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst CHECK = [\"Home Alone\", \"Bicycle Thieves\", \"The Godfather\", \"Casablanca\", \"Jaws\",\n \"Rocky\", \"Back to the Future\", \"E.T.\", \"The Shining\", \"Speed\", \"Das Boot\",\n \"Ratatouille\", \"Toy Story\", \"Kill Bill\", \"Gladiator\", \"Life of Pi\", \"The Martian\",\n \"Groundhog Day\", \"The Sixth Sense\", \"Up\", \"Titanic\", \"The Matrix\", \"Memento\",\n \"Forrest Gump\", \"Friends\", \"Seinfeld\", \"Lost\", \"The Office\", \"Twin Peaks\"];\n\nexport default async function (req: Request): Promise {\n const v2: any[] = (await blob.getJSON(\"corpus_v2\")) as any[] || [];\n const v1: any[] = (await blob.getJSON(\"imdbcorpus_v1\")) as any[] || [];\n const norm = (s: string) => String(s || \"\").toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n const inSet = (C: any[], name: string) => {\n const w = norm(name);\n const hits = C.filter(r => { const t = norm(r.title); return t === w || t.startsWith(w + \" \") || t === w; });\n return hits.length ? hits.map(h => `${h.title} (${h.year})`).join(\" · \") : null;\n };\n\n const rows = CHECK.map(n => ({\n name: n,\n \"القديمة\": inSet(v1, n) ? \"✅\" : \"❌\",\n \"الجديدة\": inSet(v2, n) ? \"✅ \" + inSet(v2, n)!.slice(0, 40) : \"❌\",\n }));\n\n const years = v2.map(r => Number(r.year) || 0).filter(y => y > 1900);\n return Response.json({\n \"قاعدة جديدة\": v2.length,\n \"قبل ٢٠٠٠\": years.filter(y => y < 2000).length,\n \"قبل ١٩٩٠\": years.filter(y => y < 1990).length,\n \"تغطية القديمة\": rows.filter(r => r[\"القديمة\"] === \"✅\").length + \"/\" + CHECK.length,\n \"تغطية الجديدة\": rows.filter(r => r[\"الجديدة\"].startsWith(\"✅\")).length + \"/\" + CHECK.length,\n \"المفقود بالجديدة\": rows.filter(r => r[\"الجديدة\"] === \"❌\").map(r => r.name),\n \"تفصيل\": rows,\n });\n}\n",[474],"2f427439-081b-4e0e-8b33-430842bd3fb8","cov.ts","bc955566-b080-11f1-8581-1607ee4eb77e",107,["D",1789420239132],"/* الإصلاح الجذري: الترتيب بتغطية الكلمات المختلفة أولاً، ثم BM25.\n السبب المقاس: BM25 مع OR يكافئ تكرار كلمة واحدة لا تغطية كلمات مختلفة —\n فسقط Back to the Future رغم احتوائه ٨٨٪ من كلمات الاستعلام. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\n\nconst esc = (w: string) => w.replace(/'/g, \"''\");\n\nasync function baseline(match: string) {\n const r = await sqlite.execute({\n sql: `SELECT title FROM plot5 WHERE plot5 MATCH ? ORDER BY bm25(plot5,1,1,1) LIMIT 20`,\n args: [match],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\n/* التغطية تُحسب داخل قاعدة البيانات نفسها — بلا نقل نصوص للخارج */\nasync function coverage(match: string, terms: string[], mode: \"strict\" | \"blend\") {\n const cov = terms.map(w =>\n `(CASE WHEN instr(lower(plots||' '||kw||' '||title), '${esc(w)}') > 0 THEN 1 ELSE 0 END)`).join(\" + \");\n const order = mode === \"strict\"\n ? `cov DESC, s ASC`\n /* مزيج: التغطية إشارة قوية لكن ليست مطلقة — تمنع صعود مستند يطابق كلمات تافهة */\n : `(cov * 1.0 / ${terms.length}) * 12 + (-s) DESC`;\n const r = await sqlite.execute({\n sql: `SELECT title, (${cov}) AS cov, bm25(plot5,1,1,1) AS s\n FROM plot5 WHERE plot5 MATCH ?\n ORDER BY ${mode === \"strict\" ? \"cov DESC, s ASC\" : \"((cov * 1.0 / \" + terms.length + \") * 12 - s) DESC\"}\n LIMIT 20`,\n args: [match],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"12\");\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"أساس BM25\", \"تغطية صارمة\", \"تغطية ممزوجة\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n let ms = 0;\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n const en = cache[ar] || ar;\n const terms = [...new Set((en.toLowerCase().match(/[a-z0-9]+/g) || []).filter((w: string) => w.length > 1))];\n const match = terms.map(w => `\"${w}\"`).join(\" OR \");\n const want = norm(exp);\n\n const t0 = Date.now();\n const lists: Record = {\n \"أساس BM25\": await baseline(match),\n \"تغطية صارمة\": await coverage(match, terms as string[], \"strict\"),\n \"تغطية ممزوجة\": await coverage(match, terms as string[], \"blend\"),\n };\n ms += Date.now() - t0;\n\n const parts: string[] = [];\n for (const v of V) {\n const rk = lists[v].findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" \")}`);\n }\n\n const n = rows.length;\n return Response.json({\n أعمدة: V.join(\" · \"),\n \"زمن كل بحث\": Math.round(ms / (n * 3)) + \"ms\",\n النتيجة: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[481],"d98272bf-c5c3-4224-b315-5260340fee7d","corpus.ts","dfc53fe6-affa-11f1-98ef-1607ee4eb77e",72,["D",1789362745600],"/* يضمن وجود أعمال الاختبار بالقاعدة + يخدم القاعدة للجوال مع CORS */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst KEY = \"corpus_v1\";\n\nconst WANT: [string, string][] = [\n [\"movie\", \"A Quiet Place\"], [\"tv\", \"Dark\"], [\"movie\", \"Inception\"], [\"tv\", \"Squid Game\"],\n [\"tv\", \"Severance\"], [\"movie\", \"The Sixth Sense\"], [\"movie\", \"Up\"], [\"movie\", \"Groundhog Day\"],\n [\"tv\", \"Breaking Bad\"], [\"movie\", \"The Lincoln Lawyer\"], [\"movie\", \"The Matrix\"],\n [\"movie\", \"Interstellar\"], [\"movie\", \"Parasite\"], [\"tv\", \"Chernobyl\"], [\"movie\", \"Titanic\"],\n];\n\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n let all: any[] = (await blob.getJSON(KEY)) as any[] || [];\n\n if (u.searchParams.get(\"ensure\")) {\n const have = new Set(all.map(r => String(r.title || \"\").toLowerCase()));\n const added: string[] = [];\n for (const [kind, name] of WANT) {\n if (have.has(name.toLowerCase())) continue;\n const s = await j(`${SH}/tmdb/search/${kind}?query=${encodeURIComponent(name)}`);\n const x = s?.results?.[0];\n if (!x) continue;\n const d = await j(`${SH}/tmdb/${kind}/${x.id}?append_to_response=keywords`);\n const kwo = d?.keywords || {};\n all.push({\n id: x.id, kind, title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n kw: ((kwo.keywords || kwo.results || []) as any[]).map(w => w.name).slice(0, 20),\n genres: (d?.genres || []).map((g: any) => g.name),\n });\n added.push(name);\n }\n await blob.setJSON(KEY, all);\n return Response.json({ added, total: all.length });\n }\n\n /* نخدم نصاً مضغوطاً: سطر لكل عمل — أخف بكثير من JSON كامل للجوال */\n const lines = all.map(r => [\n r.kind, r.id, r.title, r.year,\n [r.title, (r.genres || []).join(\", \"), (r.kw || []).join(\", \"), r.ov].filter(Boolean).join(\" . \"),\n ].join(\"\\t\"));\n return new Response(lines.join(\"\\n\"), {\n headers: {\n \"content-type\": \"text/plain; charset=utf-8\",\n \"access-control-allow-origin\": \"*\",\n \"cache-control\": \"public, max-age=3600\",\n },\n });\n}\n",[488],"fcff2c88-89eb-4c2c-889a-24594b7cb394","compare.ts","910190ee-b072-11f1-aba4-1607ee4eb77e",90,["D",1789414291825],"/* هل التوسيع اللفظي يحل المشكلة فعلاً؟ اختبار مباشر قبل بناء أي نظام مرادفات */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nasync function s(terms: string[]) {\n const r = await sqlite.execute({\n sql: `SELECT title, year, bm25(plot2,1.0,1.0) FROM plot2 WHERE plot2 MATCH ? ORDER BY 3 LIMIT 6`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n return (r.rows || []).map((x: any, i: number) => `${i + 1}. ${x[0]} (${x[1]})`);\n}\nconst tok = (q: string) => (q.toLowerCase().match(/[a-z0-9]+/g) || []).filter(w => w.length > 1);\n\nexport default async function (req: Request): Promise {\n const base = \"A child whose family travels and leaves him at home alone faces thieves\";\n const out: any = {};\n out[\"الأصل\"] = await s(tok(base));\n out[\"+ burglars\"] = await s(tok(base).concat([\"burglars\", \"burglar\"]));\n out[\"+ burglars + بلا الشائع\"] = await s(\n tok(base).filter(w => ![\"a\", \"and\", \"him\", \"at\", \"whose\", \"faces\", \"child\"].includes(w)).concat([\"burglars\", \"burglar\"]));\n\n /* اختبار ثانٍ: Matrix — حبة حمراء */\n const m = \"a movie about a virtual world and the hero takes a red pill\";\n out[\"ماتريكس الأصل\"] = await s(tok(m));\n out[\"ماتريكس + red pill معاً\"] = await s(tok(m).concat([\"matrix\", \"simulated\", \"reality\"]));\n\n return Response.json(out);\n}\n",[495],"14dc5897-a27b-4bd5-a06a-1c55053ccfad","clean.ts","61333c8c-b081-11f1-8c8c-1607ee4eb77e",112,["D",1789420515302],"/* القياس: فهرس عادي (plot5) مقابل فهرس منظَّف عند الفهرسة (plot6) */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\n\nasync function q(table: string, terms: string[]) {\n if (!terms.length) return [];\n const r = await sqlite.execute({\n sql: `SELECT title FROM ${table} WHERE ${table} MATCH ? ORDER BY bm25(${table},1,1,1) LIMIT 20`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"15\");\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"عادي (plot5)\", \"منظَّف (plot6)\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n let ms = 0;\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n const en = cache[ar] || ar;\n const terms = [...new Set((en.toLowerCase().match(/[a-z0-9]+/g) || []).filter((w: string) => w.length > 1))] as string[];\n const t0 = Date.now();\n const lists: Record = {\n \"عادي (plot5)\": await q(\"plot5\", terms),\n \"منظَّف (plot6)\": await q(\"plot6\", terms),\n };\n ms += Date.now() - t0;\n const want = norm(exp);\n const parts: string[] = [];\n for (const v of V) {\n const rk = lists[v].findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" → \")}`);\n }\n\n const n = rows.length;\n return Response.json({\n زمن: Math.round(ms / (n * 2)) + \"ms\",\n النتيجة: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[502],"398d7fe3-de35-4065-97d5-fec5b6a739f1","cases.ts","9a5071f0-b019-11f1-a1ec-1607ee4eb77e",81,["D",1789375943458],"export const CASES: [string, string][] = [\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"A Quiet Place\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"Dark\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"Inception\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"Squid Game\"],\n [\"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\", \"Severance\"],\n [\"فلم عن ولد صغير يقدر يشوف الأموات\", \"The Sixth Sense\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"Up\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"Groundhog Day\"],\n [\"مسلسل عن مدرس كيمياء يصير يصنع مخدرات\", \"Breaking Bad\"],\n [\"فلم عن محامي يشتغل من سيارته\", \"The Lincoln Lawyer\"],\n [\"فلم عن عالم افتراضي والبطل ياخذ حبة حمرا\", \"The Matrix\"],\n [\"فلم عن سفر بالفضاء عبر ثقب دودي عشان ينقذون البشرية\", \"Interstellar\"],\n [\"فلم كوري عن عائلة فقيرة تشتغل عند عائلة غنية\", \"Parasite\"],\n [\"مسلسل عن انفجار مفاعل نووي بالاتحاد السوفيتي\", \"Chernobyl\"],\n [\"فلم عن سفينة تضرب جبل جليد وتغرق\", \"Titanic\"],\n [\"مسلسل عن ملكة بريطانيا من شبابها لين كبرت\", \"The Crown\"],\n [\"فلم عن مهرج يصير مجرم بمدينة فاسدة\", \"Joker\"],\n [\"مسلسل عن أطفال يلاقون بنت بقوى خارقة ووحش من عالم ثاني\", \"Stranger Things\"],\n [\"فلم عن رجل محبوس بالسجن سنين وحفر نفق للهروب\", \"The Shawshank Redemption\"],\n [\"فلم عن ملاكم يتدرب على درج فيلادلفيا\", \"Rocky\"],\n [\"مسلسل عن عائلات تتقاتل على عرش والتنانين\", \"Game of Thrones\"],\n [\"فلم عن رجل عنده ذاكرة قصيرة يكتب على جسمه\", \"Memento\"],\n [\"فلم عن أب يدور دراجته المسروقة مع ابنه بروما\", \"Bicycle Thieves\"],\n [\"فلم عن سمكة صغيرة ضاعت وأبوها يدورها بالبحر\", \"Finding Nemo\"],\n [\"فلم عن رجل يركض بأمريكا كلها وله حياة غريبة\", \"Forrest Gump\"],\n [\"مسلسل عن ست نفر أصدقاء بشقة بنيويورك\", \"Friends\"],\n [\"مسلسل إسباني عن عصابة تسرق دار سك النقود بأقنعة\", \"Money Heist\"],\n [\"فلم رعب عن فندق وكاتب يجن بالشتاء\", \"The Shining\"],\n [\"فلم عن سيارة زمن وولد يرجع للماضي يقابل أهله\", \"Back to the Future\"],\n [\"فلم عن كائن فضائي صغير يصادق ولد ويبي يرجع بيته\", \"E.T. the Extra-Terrestrial\"],\n [\"a man is stranded alone on mars and grows potatoes\", \"The Martian\"],\n [\"a shark terrorizes a beach town and three men hunt it\", \"Jaws\"],\n [\"toys come alive when humans are not looking\", \"Toy Story\"],\n [\"a rat wants to become a chef in paris\", \"Ratatouille\"],\n [\"a woman kills bill after waking from a coma\", \"Kill Bill\"],\n [\"gladiator seeks revenge against the emperor who killed his family\", \"Gladiator\"],\n [\"a hobbit carries a ring to a volcano to destroy it\", \"The Lord of the Rings\"],\n [\"a german submarine crew during world war two under pressure\", \"Das Boot\"],\n [\"a boy and a tiger stuck on a lifeboat in the ocean\", \"Life of Pi\"],\n [\"a bus that explodes if it drives under fifty miles per hour\", \"Speed\"],\n [\"فلم عن رجل يلبس بدلة خفافيش ويحارب الجريمة\", \"The Dark Knight\"],\n [\"مسلسل عن أطباء بمستشفى وقصص حب بينهم\", \"Grey's Anatomy\"],\n [\"فلم عن حرب النجوم والسيوف الضوئية\", \"Star Wars\"],\n [\"فلم عن ديناصورات ترجع للحياة بجزيرة\", \"Jurassic Park\"],\n [\"فلم عن رجل أخضر كبير يزعل ويكسر كل شي\", \"Hulk\"],\n];\n",[509],"bd302376-104b-4bf0-b0b3-ecfcb6237af2","build2.ts","c570fafa-b071-11f1-a003-1607ee4eb77e",116,["D",1789420815537],"/* بناء القاعدة بمعيار \"الأكثر تقييماً عبر التاريخ\" لا \"الأشهر الآن\".\n السبب المقاس: معيار الشعبية أسقط Home Alone الأصلي وأبقى أعمالاً مغمورة حديثة. */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst GQL = \"https://api.graphql.imdb.com/\";\nconst H = { \"content-type\": \"application/json\", \"origin\": \"https://www.imdb.com\",\n \"referer\": \"https://www.imdb.com/\",\n \"user-agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120 Safari/537.36\" };\nconst KEY = \"corpus_v2\";\n\nasync function j(u: string) {\n try { const r = await fetch(u, { signal: AbortSignal.timeout(15000) }); return r.ok ? await r.json() : null; }\n catch { return null; }\n}\nasync function gql(q: string) {\n try {\n const r = await fetch(GQL, { method: \"POST\", headers: H, body: JSON.stringify({ query: q }), signal: AbortSignal.timeout(20000) });\n return await r.json();\n } catch { return null; }\n}\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n const out: R[] = []; let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; out[k] = await fn(items[k]); }\n }));\n return out;\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"1\");\n const to = Number(u.searchParams.get(\"to\") || \"10\");\n const sort = u.searchParams.get(\"sort\") || \"vote_count.desc\";\n const minVotes = u.searchParams.get(\"mv\") || \"50\";\n\n const all: any[] = (await blob.getJSON(KEY)) as any[] || [];\n const seen = new Set(all.map((r: any) => r.kind + \":\" + r.id));\n\n const pages: [string, number][] = [];\n for (let p = from; p <= to; p++) { pages.push([\"movie\", p]); pages.push([\"tv\", p]); }\n\n const base = (await pool(pages, 14, async ([kind, p]) => {\n const d = await j(`${SH}/tmdb/discover/${kind}?sort_by=${sort}&page=${p}&vote_count.gte=${minVotes}`);\n return (d?.results || []).map((x: any) => ({\n id: x.id, kind, title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n votes: x.vote_count || 0, pop: x.popularity || 0,\n }));\n })).flat().filter((r: any) => !seen.has(r.kind + \":\" + r.id));\n\n const withImdb = await pool(base, 24, async (r: any) => {\n const e = await j(`${SH}/tmdb/${r.kind}/${r.id}/external_ids`);\n r.imdb = e?.imdb_id || null;\n return r;\n });\n const ok = withImdb.filter((r: any) => r.imdb);\n\n const groups: any[][] = [];\n for (let i = 0; i < ok.length; i += 5) groups.push(ok.slice(i, i + 5));\n await pool(groups, 12, async (g: any[]) => {\n const alias = g.map((r, i) => `t${i}: title(id: ${JSON.stringify(r.imdb)}) {\n plots(first: 6) { edges { node { plotText { plainText } } } } }`).join(\" \");\n const res = await gql(`query { ${alias} }`);\n g.forEach((r, i) => {\n r.plots = ((res?.data?.[`t${i}`]?.plots?.edges) || [])\n .map((e: any) => String(e.node?.plotText?.plainText || \"\")).filter(Boolean);\n });\n return g;\n });\n\n const merged = all.concat(ok);\n await blob.setJSON(KEY, merged);\n const wp = merged.filter((r: any) => (r.plots || []).length);\n return Response.json({\n added: ok.length, total: merged.length,\n withPlots: wp.length,\n قبل_٢٠٠٠: merged.filter((r: any) => Number(r.year) < 2000).length,\n });\n}\n",[516],"35cd0857-e581-43e0-ac6c-d0d323cf9ed9","build.ts","bf6cdb32-affa-11f1-97d5-1607ee4eb77e",71,["D",1789362691334],"/* يبني قاعدة القياس داخل Val Town (ملخص + وسوم بشرية) ويخزّنها بالبلوب.\n السبب: الجوال يحتاج ملفاً واحداً يحمّله، والبناء هنا يتجنّب نقل ٣ ميجا يدوياً. */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\nconst KEY = \"corpus_v1\";\n\nasync function j(u: string) {\n for (let i = 0; i < 2; i++) {\n try {\n const r = await fetch(u, { signal: AbortSignal.timeout(15000) });\n if (r.ok) return await r.json();\n } catch { /* نعيد المحاولة */ }\n }\n return null;\n}\n\nasync function page(kind: string, p: number) {\n const d = await j(`${SH}/tmdb/discover/${kind}?sort_by=popularity.desc&page=${p}&vote_count.gte=100`);\n return (d?.results || []).map((x: any) => ({\n id: x.id, kind,\n title: x.title || x.name,\n year: String(x.release_date || x.first_air_date || \"\").slice(0, 4),\n ov: String(x.overview || \"\").slice(0, 400),\n })).filter((r: any) => r.ov.length > 40);\n}\n\nasync function details(r: any) {\n const d = await j(`${SH}/tmdb/${r.kind}/${r.id}?append_to_response=keywords`);\n if (!d) return r;\n const kwo = d.keywords || {};\n r.kw = ((kwo.keywords || kwo.results || []) as any[]).map(w => w.name).slice(0, 20);\n r.genres = (d.genres || []).map((g: any) => g.name);\n return r;\n}\n\nasync function pool(items: T[], n: number, fn: (x: T) => Promise) {\n const out: R[] = []; let i = 0;\n await Promise.all(Array.from({ length: n }, async () => {\n while (i < items.length) { const k = i++; out[k] = await fn(items[k]); }\n }));\n return out;\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"1\");\n const to = Number(u.searchParams.get(\"to\") || \"10\");\n\n let prev: any[] = [];\n try { prev = (await blob.getJSON(KEY)) as any[] || []; } catch { /* أول مرة */ }\n\n const pages: [string, number][] = [];\n for (let p = from; p <= to; p++) { pages.push([\"movie\", p]); pages.push([\"tv\", p]); }\n const got = (await pool(pages, 8, ([k, p]) => page(k, p))).flat();\n\n const seen = new Set(prev.map((r: any) => r.kind + \":\" + r.id));\n const fresh = got.filter((r: any) => !seen.has(r.kind + \":\" + r.id));\n const enriched = await pool(fresh, 14, details);\n\n const all = prev.concat(enriched);\n await blob.setJSON(KEY, all);\n return Response.json({ pagesFrom: from, pagesTo: to, added: enriched.length, total: all.length });\n}\n",[523],"1258dcb6-2284-4713-92a0-b4b311ff581c","bigbench.ts","c352b898-b018-11f1-aa27-1607ee4eb77e",78,["D",1789375582772],"/* قياس موسَّع: ٤٥ عينة — عربية وإنجليزية · مشهورة وغامضة · صيغ وصف مختلفة */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst SH = \"https://q8kamikaze--0265d7dc765711f1baf01607ee4eb77e.web.val.run\";\n\ntype Case = [string, string, string]; /* الوصف · العمل المتوقَّع · التصنيف */\nconst CASES: Case[] = [\n /* ═══ عربي · مشهور ═══ */\n [\"عائلة تعيش بصمت كامل لأن وحوش تصطاد بالصوت\", \"A Quiet Place\", \"عربي/مشهور\"],\n [\"مسلسل ألماني عن سفر بالزمن فيه كهف وأطفال مفقودين\", \"Dark\", \"عربي/مشهور\"],\n [\"رجل يدخل بالأحلام عشان يزرع فكرة بعقل واحد\", \"Inception\", \"عربي/مشهور\"],\n [\"مسلسل كوري ناس مفلسين يلعبون ألعاب أطفال والخسران يموت\", \"Squid Game\", \"عربي/مشهور\"],\n [\"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\", \"Severance\", \"عربي/مشهور\"],\n [\"فلم عن ولد صغير يقدر يشوف الأموات\", \"The Sixth Sense\", \"عربي/مشهور\"],\n [\"فلم كرتون عن رجل عجوز يربط بيته ببالونات ويطير\", \"Up\", \"عربي/مشهور\"],\n [\"فلم عن رجل يعيش نفس اليوم مرة ورا مرة\", \"Groundhog Day\", \"عربي/مشهور\"],\n [\"مسلسل عن مدرس كيمياء يصير يصنع مخدرات\", \"Breaking Bad\", \"عربي/مشهور\"],\n [\"فلم عن محامي يشتغل من سيارته\", \"The Lincoln Lawyer\", \"عربي/مشهور\"],\n [\"فلم عن عالم افتراضي والبطل ياخذ حبة حمرا\", \"The Matrix\", \"عربي/مشهور\"],\n [\"فلم عن سفر بالفضاء عبر ثقب دودي عشان ينقذون البشرية\", \"Interstellar\", \"عربي/مشهور\"],\n [\"فلم كوري عن عائلة فقيرة تشتغل عند عائلة غنية\", \"Parasite\", \"عربي/مشهور\"],\n [\"مسلسل عن انفجار مفاعل نووي بالاتحاد السوفيتي\", \"Chernobyl\", \"عربي/مشهور\"],\n [\"فلم عن سفينة تضرب جبل جليد وتغرق\", \"Titanic\", \"عربي/مشهور\"],\n /* ═══ عربي · دفعة جديدة ═══ */\n [\"مسلسل عن ملكة بريطانيا من شبابها لين كبرت\", \"The Crown\", \"عربي/جديد\"],\n [\"فلم عن مهرج يصير مجرم بمدينة فاسدة\", \"Joker\", \"عربي/جديد\"],\n [\"مسلسل عن أطفال يلاقون بنت بقوى خارقة ووحش من عالم ثاني\", \"Stranger Things\", \"عربي/جديد\"],\n [\"فلم عن رجل محبوس بالسجن سنين وحفر نفق للهروب\", \"The Shawshank Redemption\", \"عربي/جديد\"],\n [\"فلم عن ملاكم يتدرب على درج فيلادلفيا\", \"Rocky\", \"عربي/جديد\"],\n [\"مسلسل عن عائلات تتقاتل على عرش والتنانين\", \"Game of Thrones\", \"عربي/جديد\"],\n [\"فلم عن رجل عنده ذاكرة قصيرة يكتب على جسمه\", \"Memento\", \"عربي/جديد\"],\n [\"فلم عن أب يدور ابنه بمباراة كرة بإيطاليا بعد الحرب\", \"Bicycle Thieves\", \"عربي/غامض\"],\n [\"فلم عن سمكة صغيرة ضاعت وأبوها يدورها بالبحر\", \"Finding Nemo\", \"عربي/جديد\"],\n [\"فلم عن رجل يركض بأمريكا كلها وله حياة غريبة\", \"Forrest Gump\", \"عربي/جديد\"],\n [\"مسلسل عن ست نفر أصدقاء بشقة بنيويورك\", \"Friends\", \"عربي/جديد\"],\n [\"فلم عن عصابة تسرق بنك وكلهم لابسين أقنعة\", \"Money Heist\", \"عربي/جديد\"],\n [\"فلم رعب عن فندق وكاتب يجن بالشتاء\", \"The Shining\", \"عربي/جديد\"],\n [\"فلم عن سيارة زمن وولد يرجع للماضي يقابل أهله\", \"Back to the Future\", \"عربي/جديد\"],\n [\"فلم عن كائن فضائي صغير يصادق ولد ويبي يرجع بيته\", \"E.T. the Extra-Terrestrial\", \"عربي/جديد\"],\n /* ═══ إنجليزي ═══ */\n [\"a man is stranded alone on mars and grows potatoes\", \"The Martian\", \"إنجليزي\"],\n [\"a shark terrorizes a beach town and three men hunt it\", \"Jaws\", \"إنجليزي\"],\n [\"toys come alive when humans are not looking\", \"Toy Story\", \"إنجليزي\"],\n [\"a rat wants to become a chef in paris\", \"Ratatouille\", \"إنجليزي\"],\n [\"a woman kills bill after waking from a coma\", \"Kill Bill: Vol. 1\", \"إنجليزي\"],\n [\"gladiator seeks revenge against the emperor who killed his family\", \"Gladiator\", \"إنجليزي\"],\n [\"a hobbit carries a ring to a volcano to destroy it\", \"The Lord of the Rings: The Fellowship of the Ring\", \"إنجليزي\"],\n [\"a submarine crew during world war two under pressure\", \"Das Boot\", \"إنجليزي/غامض\"],\n [\"an old man and a boy tiger stuck on a lifeboat\", \"Life of Pi\", \"إنجليزي\"],\n [\"a bus that explodes if it drives under fifty miles per hour\", \"Speed\", \"إنجليزي\"],\n /* ═══ وصف غامض/ناقص — الاختبار الأصعب ═══ */\n [\"فلم عن رجل يلبس بدلة خفافيش ويحارب الجريمة\", \"The Dark Knight\", \"غامض\"],\n [\"مسلسل عن أطباء بمستشفى وقصص حب بينهم\", \"Grey's Anatomy\", \"غامض\"],\n [\"فلم عن حرب النجوم والسيوف الضوئية\", \"Star Wars\", \"غامض\"],\n [\"فلم عن ديناصورات ترجع للحياة بجزيرة\", \"Jurassic Park\", \"غامض\"],\n [\"فلم عن رجل أخضر كبير يزعل ويكسر كل شي\", \"The Incredible Hulk\", \"غامض\"],\n];\n\nconst tok = (s: string) => (s || \"\").toLowerCase().match(/[a-z0-9]+/g) || [];\n\nfunction buildBM25(docs: string[][]) {\n const N = docs.length;\n const df = new Map();\n for (const d of docs) for (const w of new Set(d)) df.set(w, (df.get(w) || 0) + 1);\n const len = docs.map(d => d.length);\n const avg = len.reduce((a, b) => a + b, 0) / N;\n const tf = docs.map(d => { const m = new Map(); for (const w of d) m.set(w, (m.get(w) || 0) + 1); return m; });\n const k1 = 1.5, b = 0.75;\n return (q: string[]) => {\n const s = new Float64Array(N);\n for (const w of q) {\n const n = df.get(w); if (!n) continue;\n const idf = Math.log(1 + (N - n + 0.5) / (n + 0.5));\n for (let i = 0; i < N; i++) {\n const f = tf[i].get(w); if (!f) continue;\n s[i] += idf * (f * (k1 + 1)) / (f + k1 * (1 - b + b * len[i] / avg));\n }\n }\n return s;\n };\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"45\");\n\n const C: any[] = (await blob.getJSON(\"imdbcorpus_v1\")) as any[] || [];\n const titles = C.map(r => String(r.title || \"\"));\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const bmT = buildBM25(C.map(r => tok(r.ov)));\n const bmI = buildBM25(C.map(r => tok((r.plots || []).join(\" \"))));\n const bmB = buildBM25(C.map(r => tok(r.ov + \" \" + (r.plots || []).join(\" \"))));\n\n const slice = CASES.slice(from, to);\n const rows: any[] = [];\n const tally: any = {};\n const t0 = Date.now();\n\n for (const [ar, exp, tag] of slice) {\n let en = ar;\n if (/[\\u0600-\\u06FF]/.test(ar)) {\n try {\n const t = await fetch(`${SH}/translate?q=${encodeURIComponent(ar)}&target=en`, { signal: AbortSignal.timeout(15000) })\n .then(r => r.ok ? r.json() : null);\n if (t?.text) en = String(t.text);\n } catch { /* نكمل */ }\n }\n const q = tok(en);\n const row: any = { exp, tag };\n for (const [name, fn] of [[\"tmdb\", bmT], [\"imdb\", bmI], [\"both\", bmB]] as [string, any][]) {\n const s = fn(q);\n const order = Array.from(s.keys()).sort((a: number, b: number) => s[b] - s[a]);\n /* مطابقة مرنة: العنوان المتوقَّع جزء من عنوان النتيجة أو العكس */\n const want = norm(exp);\n const rank = order.findIndex((i: number) => {\n const t = norm(titles[i]);\n return t === want || t.startsWith(want) || want.startsWith(t);\n });\n row[name] = rank;\n if (name === \"both\") row.top = titles[order[0]];\n tally[name] = tally[name] || [0, 0, 0, 0];\n if (rank === 0) tally[name][0]++;\n if (rank >= 0 && rank < 5) tally[name][1]++;\n if (rank >= 0 && rank < 20) tally[name][2]++;\n tally[name][3]++;\n }\n rows.push(row);\n }\n\n const byTag: any = {};\n for (const r of rows) {\n byTag[r.tag] = byTag[r.tag] || { n: 0, first: 0, top5: 0 };\n byTag[r.tag].n++;\n if (r.imdb === 0) byTag[r.tag].first++;\n if (r.imdb >= 0 && r.imdb < 5) byTag[r.tag].top5++;\n }\n\n const pct = (a: number, b: number) => Math.round(a / b * 100) + \"٪\";\n return Response.json({\n corpus: C.length, tested: rows.length, ms: Date.now() - t0,\n summary: Object.fromEntries(Object.entries(tally).map(([k, v]: any) =>\n [k, `أول ${v[0]}/${v[3]} (${pct(v[0], v[3])}) · ضمن٥ ${v[1]}/${v[3]} (${pct(v[1], v[3])}) · ضمن٢٠ ${v[2]}/${v[3]}`])),\n byTag: Object.fromEntries(Object.entries(byTag).map(([k, v]: any) =>\n [k, `أول ${v.first}/${v.n} · ضمن٥ ${v.top5}/${v.n}`])),\n fails: rows.filter(r => r.imdb !== 0).map(r => `${r.exp}: IMDb ${r.imdb < 0 ? \"خارج\" : \"#\" + (r.imdb + 1)} ← ${r.top}`),\n });\n}\n",[530],"28e30795-0435-4a27-9059-da85b75f9215","best.ts","05d3c4d8-b081-11f1-aacd-1607ee4eb77e",110,["D",1789420362005],"/* أفضل ترتيب من الاستعلامين — لا متوسط ولا اختيار.\n كل عمل يأخذ أعلى مرتبة حققها بأيٍّ من الصيغتين، فلا يضيع مكسب أيٍّ منهما. */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { CASES } from \"./cases.ts\";\n\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been being am \" +\n \"about after before while during into onto over under out up down off through across against between among \" +\n \"who whom whose that this these those which what when where how why there here \" +\n \"he she it they them him her his hers its their theirs we us our ours you your i me my mine \" +\n \"not no nor none any some all both each few more most other such only own same so than too very \" +\n \"can will just should now does do did done has have had having \" +\n \"movie film series show season episode\").split(\" \"));\n\nasync function q(terms: string[], lim = 30) {\n if (!terms.length) return [];\n const r = await sqlite.execute({\n sql: `SELECT title FROM plot5 WHERE plot5 MATCH ? ORDER BY bm25(plot5,1,1,1) LIMIT ${lim}`,\n args: [terms.map(w => `\"${w}\"`).join(\" OR \")],\n });\n return (r.rows || []).map((x: any) => String(x[0]));\n}\n\n/* أفضل مرتبة: العمل يُقيَّم بأقوى ظهور له، والتعادل يُحسم بمجموع المرتبتين */\nfunction bestRank(A: string[], B: string[]) {\n const m = new Map();\n const add = (l: string[]) => l.forEach((t, i) => {\n const cur = m.get(t) || { best: 999, sum: 0 };\n cur.best = Math.min(cur.best, i + 1);\n cur.sum += i + 1;\n m.set(t, cur);\n });\n add(A); add(B);\n /* عمل ظهر بقائمة واحدة فقط: مجموعه يُعامَل كأنه ٩٩٩ بالقائمة الغائبة */\n for (const [t, v] of m) if (!(A.includes(t) && B.includes(t))) v.sum += 40;\n return [...m.entries()].sort((a, b) => (a[1].best - b[1].best) || (a[1].sum - b[1].sum)).map(([t]) => t);\n}\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const from = Number(u.searchParams.get(\"from\") || \"0\");\n const to = Number(u.searchParams.get(\"to\") || \"15\");\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const norm = (s: string) => s.toLowerCase().replace(/[^a-z0-9]+/g, \" \").trim();\n\n const V = [\"مع الوظيفية\", \"بلا وظيفية\", \"أفضل الاثنين\"];\n const tally: any = {}; for (const v of V) tally[v] = [0, 0, 0];\n const rows: string[] = [];\n let ms = 0;\n\n for (const [ar, exp] of CASES.slice(from, to)) {\n const en = cache[ar] || ar;\n const all = [...new Set((en.toLowerCase().match(/[a-z0-9]+/g) || []).filter((w: string) => w.length > 1))] as string[];\n const clean = all.filter(w => !STOP.has(w));\n const use = clean.length >= 2 ? clean : all;\n\n const t0 = Date.now();\n const A = await q(all), B = await q(use);\n const C = bestRank(A, B);\n ms += Date.now() - t0;\n\n const lists: Record = { \"مع الوظيفية\": A, \"بلا وظيفية\": B, \"أفضل الاثنين\": C };\n const want = norm(exp);\n const parts: string[] = [];\n for (const v of V) {\n const rk = lists[v].findIndex(t => { const n = norm(t); return n === want || n.startsWith(want) || want.startsWith(n); });\n if (rk === 0) tally[v][0]++;\n if (rk >= 0 && rk < 5) tally[v][1]++;\n if (rk >= 0 && rk < 20) tally[v][2]++;\n parts.push(rk < 0 ? \"خارج\" : String(rk + 1));\n }\n rows.push(`${exp}: ${parts.join(\" \")}`);\n }\n\n const n = rows.length;\n return Response.json({\n أعمدة: V.join(\" · \"),\n زمن: Math.round(ms / n) + \"ms للبحث\",\n النتيجة: Object.fromEntries(V.map(v => [v, `أول ${tally[v][0]}/${n} · ضمن٥ ${tally[v][1]}/${n} · ضمن٢٠ ${tally[v][2]}/${n}`])),\n التفصيل: rows,\n });\n}\n",[537],"35e9ae69-12fa-405c-8206-acef9afc49f6","bench.ts","a5c06a0e-af9c-11f1-8730-1607ee4eb77e",12,["D",1789322312741],"import { findByPlot } from \"./engine.ts\";\n\nconst TESTS = [\n \"فلم عن طبيب يخبي زوجته الميتة بالقبو\",\n \"مسلسل كوري عن لعبة موت والفايز ياخذ فلوس\",\n \"فلم قديم عن رجل يعيش نفس اليوم مرة ورا مرة\",\n \"مسلسل عن محامي يشتغل بسيارته\",\n \"فلم عن ولد يقدر يشوف الأموات\",\n \"مسلسل عن شركة موظفينها يفصلون ذاكرة الشغل عن حياتهم\",\n \"فلم عن رجل عجوز يربط بيته ببالونات ويطير\",\n \"فلم عن غواصة روسية تهرب لأمريكا\",\n];\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const i = Number(url.searchParams.get(\"i\") || \"0\");\n const slice = TESTS.slice(i, i + 3);\n const out: any[] = [];\n for (const t of slice) {\n try {\n const r = await findByPlot(t);\n out.push({\n q: t,\n tr: r.debug.translated,\n n: r.debug.resultCount,\n ms: r.debug.ms,\n top: (r.items || []).map((x: any) => x.title + (x.year ? \" (\" + x.year + \")\" : \"\")),\n });\n } catch (e) {\n out.push({ q: t, error: String(e).slice(0, 200) });\n }\n }\n return Response.json(out);\n}\n",[544],"e066c9b4-e363-4292-bd52-6896283c689f","autopsy.ts","9f4c10d0-b080-11f1-83fb-1607ee4eb77e",118,["D",1789442894572],"/* تشريح الفشل الثلاثة على القاعدة الكاملة — هل الكلمة المتذكَّرة موجودة بالنص أصلاً؟ */\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst T: [string, string, string[]][] = [\n [\"Forrest Gump\", \"فلم عن رجل يركض بأمريكا كلها وله حياة غريبة\", [\"run\", \"running\", \"america\", \"jog\", \"cross country\"]],\n [\"Back to the Future\", \"فلم عن سيارة سيارة زمن وولد يرجع للماضي يقابل أهله\", [\"time machine\", \"delorean\", \"1955\", \"past\", \"parents\", \"car\"]],\n [\"Grey's Anatomy\", \"مسلسل عن أطباء بمستشفى وقصص حب بينهم\", [\"doctor\", \"surgeon\", \"hospital\", \"romance\", \"intern\"]],\n];\n\nexport default async function (req: Request): Promise {\n const cache: any = (await blob.getJSON(\"trcache_v1\")) || {};\n const out: any = {};\n\n for (const [title, ar, words] of T) {\n const o: any = { الترجمة: cache[ar] || ar };\n const r = await sqlite.execute({\n sql: `SELECT length(plots), length(kw), substr(plots,1,260) FROM plot5 WHERE title = ? LIMIT 1`,\n args: [title],\n });\n if (!(r.rows || []).length) { o.الحالة = \"❌ غير موجود\"; out[title] = o; continue; }\n const row: any = r.rows[0];\n o.طول_الملخصات = row[0]; o.طول_الوسوم = row[1]; o.بداية_النص = row[2];\n\n o.الكلمات_المتذكَّرة = {};\n for (const w of words) {\n const q = await sqlite.execute({\n sql: `SELECT (CASE WHEN lower(plots) LIKE ? THEN 'ملخّص' ELSE '' END) ||\n (CASE WHEN lower(kw) LIKE ? THEN ' وسوم' ELSE '' END)\n FROM plot5 WHERE title = ? LIMIT 1`,\n args: [\"%\" + w + \"%\", \"%\" + w + \"%\", title],\n });\n const v = String(q.rows[0][0] || \"\").trim();\n o.الكلمات_المتذكَّرة[w] = v || \"❌ غير موجودة إطلاقاً\";\n }\n out[title] = o;\n }\n return Response.json(out);\n}\n",[551],"e92f1969-1353-4a88-8613-731661e1ed15","assoc.ts","01537b3c-b073-11f1-93a7-1607ee4eb77e",91,["D",1789414341502],"/* بناء جدول توسيع من ملخّصاتنا نفسها:\n لكل كلمة، الكلمات التي تشاركها السياق (تظهر بنفس المستندات أكثر من الصدفة).\n المقياس: PMI معياري — يرفع \"thieves↔burglars\" ويخفض \"thieves↔the\".\n صفر مصدر خارجي · يُبنى مرة واحدة · يُخزَّن بالبلوب. */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst KEY = \"corpus_v2\";\nconst OUT = \"assoc_v1\";\n\n/* كلمات لا تصلح للتوسيع أبداً */\nconst STOP = new Set((\"a an the of in on at to for from by with and or but is are was were be been being \" +\n \"about after who that this these those its their his her he she it they them we you i not no \" +\n \"has have had do does did will would can could should may might must there here when where how why \" +\n \"what which while during into onto over under out up down off then than also very just only more most \" +\n \"one two three first second new old man woman boy girl people time day night year years life \" +\n \"film movie series show season episode story character characters plot scene\").split(\" \"));\n\nconst tok = (s: string) => (s || \"\").toLowerCase().match(/[a-z]{3,}/g) || [];\n\nexport default async function (req: Request): Promise {\n const u = new URL(req.url);\n const minDf = Number(u.searchParams.get(\"mindf\") || \"8\");\n const maxDfRatio = Number(u.searchParams.get(\"maxdf\") || \"0.12\");\n const topK = Number(u.searchParams.get(\"k\") || \"6\");\n\n const C: any[] = (await blob.getJSON(KEY)) as any[] || [];\n const t0 = Date.now();\n\n /* ١) مجموعات كلمات لكل مستند (وجود فقط، لا تكرار) */\n const docs: Set[] = C.map(r => {\n const s = new Set();\n for (const w of tok(String(r.ov || \"\") + \" \" + (r.plots || []).join(\" \"))) if (!STOP.has(w)) s.add(w);\n return s;\n });\n const N = docs.length;\n\n /* ٢) تكرار كل كلمة */\n const df = new Map();\n for (const d of docs) for (const w of d) df.set(w, (df.get(w) || 0) + 1);\n\n /* ٣) المفردات الصالحة: ليست نادرة جداً ولا عامة جداً */\n const vocab = [...df.entries()]\n .filter(([, n]) => n >= minDf && n <= N * maxDfRatio)\n .map(([w]) => w);\n const vset = new Set(vocab);\n const idx = new Map(vocab.map((w, i) => [w, i]));\n\n /* ٤) مصفوفة التشارك — نمر على المستندات مرة واحدة */\n const co = new Map>();\n for (const d of docs) {\n const ws = [...d].filter(w => vset.has(w)).map(w => idx.get(w)!);\n if (ws.length > 120) continue; /* مستند طويل جداً يضخّم كل شيء */\n for (let i = 0; i < ws.length; i++) {\n let m = co.get(ws[i]); if (!m) { m = new Map(); co.set(ws[i], m); }\n for (let j = 0; j < ws.length; j++) if (i !== j) m.set(ws[j], (m.get(ws[j]) || 0) + 1);\n }\n }\n\n /* ٥) PMI معياري لكل زوج، ونحتفظ بأقوى K لكل 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