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i=0;while(i100000)a.push({start:s,end:e,size:e-s});i=e;break}i++}}else i++}return a}\nexport default async function(req:Request){const u=new URL(req.url),from=Number(u.searchParams.get(\"from\")||\"5\"),to=Number(u.searchParams.get(\"to\")||String(from));const raw=await blob.get(PDF_KEY);if(!raw)return Response.json({ok:false,error:\"missing\"},{status:404});const b=new Uint8Array(await raw.arrayBuffer()),a=imgs(b);const w=await createWorker(\"kor+eng\");const out:any[]=[];for(let p=from;p<=to&&p<=a.length;p++){const x=a[p-1],r=await w.recognize(b.slice(x.start,x.end)),text=r.data.text,key=`${P}/page-${String(p).padStart(2,\"0\")}.txt`;await blob.set(key,text);out.push({page:p,jpeg_bytes:x.size,key,text})}await w.terminate();return Response.json({ok:true,pages:a.length,from,to,results:out})}\n",[162],"7fd8e4c8-ad35-4a58-8deb-ad1bca4f891c","ocr.ts","a607a0ee-acc8-11f1-a489-1607ee4eb77e",2,["D",1789011320406],"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { createWorker } from \"npm:tesseract.js\";\n\nconst PDF_KEY = \"pb/2022-r59-natural-science-a/exact.pdf\";\nconst OCR_PREFIX = \"pb/2022-r59-natural-science-a/ocr\";\n\nfunction findJpegs(bytes: Uint8Array) {\n const out: Array<{start:number,end:number,size:number}> = [];\n let i = 0;\n while (i < bytes.length - 3) {\n if (bytes[i] === 0xff && bytes[i+1] === 0xd8 && bytes[i+2] === 0xff) {\n const start = i;\n i += 3;\n while (i < bytes.length - 1) {\n if (bytes[i] === 0xff && bytes[i+1] === 0xd9) {\n const end = i + 2;\n out.push({start,end,size:end-start});\n i = end;\n break;\n }\n i++;\n }\n } else i++;\n }\n return out;\n}\n\nexport default async function(req: Request): Promise {\n const u = new URL(req.url);\n const page = Number(u.searchParams.get(\"page\") || \"1\");\n const raw = await blob.get(PDF_KEY);\n if (!raw) return Response.json({ok:false,error:\"missing pdf blob\"},{status:404});\n const bytes = new Uint8Array(await raw.arrayBuffer());\n const images = findJpegs(bytes).filter(x => x.size > 100000);\n if (!Number.isInteger(page) || page < 1 || page > images.length) {\n return Response.json({ok:false,pages:images.length,images});\n }\n const span = images[page-1];\n const img = bytes.slice(span.start, span.end);\n const worker = await createWorker(\"kor+eng\");\n const result = await worker.recognize(img);\n await worker.terminate();\n const text = result.data.text;\n const key = `${OCR_PREFIX}/page-${String(page).padStart(2,\"0\")}.txt`;\n await blob.set(key, text);\n return Response.json({ok:true,page,pages:images.length,jpeg_bytes:img.byteLength,key,text});\n}\n",[169],"eee68150-e284-4547-90ef-8df4059dd9cf","main.ts",["D",1789010997526],"// @ts-ignore Val Town supports HTTPS imports; local Node tsc does not resolve them.\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst TARGET = {\n bytes: 4_830_605,\n sha256: \"baa62634f43206b384ae52f12914b40447d150d41eae4774cfa8c176e9790537\",\n filename: \"2022년_제59회 변리사 1차_자연과학개론_A형.pdf\",\n artlSeq: \"5209594\",\n fileSeq: \"2202058\",\n filePath: \"bbs/Q004/Q004_2202058\",\n};\n\nconst HORAENG = \"https://horaeng.com/wp-content/uploads/2022%EB%85%84_%EC%A0%9C59%ED%9A%8C-%EB%B3%80%EB%A6%AC%EC%82%AC-1%EC%B0%A8_%EC%9E%90%EC%97%B0%EA%B3%BC%ED%95%99%EA%B0%9C%EB%A1%A0_A%ED%98%95-1.pdf\";\nconst QBASE = \"https://www.q-net.or.kr\";\nconst UA = \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/126.0.0.0 Safari/537.36\";\n\nfunction hex(buf: ArrayBuffer): string {\n return [...new Uint8Array(buf)].map((b) => b.toString(16).padStart(2, \"0\")).join(\"\");\n}\nasync function sha256(bytes: Uint8Array): Promise {\n const copy = new Uint8Array(bytes.byteLength);\n copy.set(bytes);\n return hex(await crypto.subtle.digest(\"SHA-256\", copy));\n}\nfunction pdfLike(bytes: Uint8Array): boolean {\n return bytes.byteLength > 1000 && new TextDecoder().decode(bytes.slice(0, 8)).startsWith(\"%PDF-\");\n}\nfunction cookieLine(headers: Headers): string {\n const h = headers as Headers & { getSetCookie?: () => string[] };\n const all = h.getSetCookie?.() ?? (headers.get(\"set-cookie\") ? [headers.get(\"set-cookie\")!] : []);\n return all.map((s) => s.split(\";\", 1)[0]).filter(Boolean).join(\"; \");\n}\nfunction mergeCookies(a: string, b: string): string {\n const m = new Map();\n for (const c of [a, b]) for (const part of c.split(/;\\s*/)) {\n const i = part.indexOf(\"=\"); if (i > 0) m.set(part.slice(0, i), part.slice(i + 1));\n }\n return [...m].map(([k, v]) => `${k}=${v}`).join(\"; \");\n}\nasync function responseBytes(res: Response): Promise {\n return new Uint8Array(await res.arrayBuffer());\n}\nasync function verify(label: string, url: string, bytes: Uint8Array) {\n const digest = await sha256(bytes);\n return {\n label, url, bytes: bytes.byteLength, sha256: digest,\n pdf_like: pdfLike(bytes),\n exact_size: bytes.byteLength === TARGET.bytes,\n exact_sha256: digest === TARGET.sha256,\n exact: bytes.byteLength === TARGET.bytes && digest === TARGET.sha256,\n };\n}\n\nasync function fetchStatic() {\n const res = await fetch(HORAENG, {\n redirect: \"follow\",\n headers: { \"user-agent\": UA, \"accept\": \"application/pdf,*/*;q=0.8\", \"accept-language\": \"ko-KR,ko;q=0.9\" },\n });\n if (!res.ok) throw new Error(`Horaeng HTTP ${res.status}`);\n const bytes = await responseBytes(res);\n return { bytes, audit: await verify(\"horaeng_static\", res.url || HORAENG, bytes) };\n}\n\nasync function qFetch(url: string, init: RequestInit = {}, cookie = \"\") {\n const headers = new Headers(init.headers);\n headers.set(\"user-agent\", UA);\n headers.set(\"accept-language\", \"ko-KR,ko;q=0.9\");\n if (cookie) headers.set(\"cookie\", cookie);\n const res = await fetch(url, { ...init, headers, redirect: \"follow\" });\n return { res, cookie: mergeCookies(cookie, cookieLine(res.headers)) };\n}\n\nasync function fetchQNet() {\n let cookie = \"\";\n let x = await qFetch(`${QBASE}/man001.do?gSite=L&gId=51`, {}, cookie); cookie = x.cookie;\n\n const detailUrl = `${QBASE}/cst003.do?id=cst00302&gSite=L&gId=51`;\n const form = new URLSearchParams({\n page: \"1\", schType: \"\", schText: \"\", artlSeq: TARGET.artlSeq,\n boardId: \"Q004\", code: \"1008\", menuType: \"cst00309\", cst: \"\",\n });\n x = await qFetch(detailUrl, {\n method: \"POST\",\n body: form,\n headers: { \"content-type\": \"application/x-www-form-urlencoded\", referer: detailUrl },\n }, cookie); cookie = x.cookie;\n if (!x.res.ok) throw new Error(`Q-Net detail HTTP ${x.res.status}`);\n const detail = await x.res.text();\n\n let filePath = TARGET.filePath, fileName = TARGET.filename, fileSeq = TARGET.fileSeq;\n const re = /fileDown\\('([^']+)'\\s*,\\s*'([^']+)'\\s*,\\s*'(\\d+)'\\)/g;\n for (const m of detail.matchAll(re)) {\n if (m[2].includes(\"자연과학개론\")) { filePath = m[1]; fileName = m[2]; fileSeq = m[3]; break; }\n }\n const q = new URLSearchParams({\n id: \"cst00302s01\", gSite: \"L\", gId: \"51\", fileCode: \"R001\",\n filePath, fileName, fileSeq, artlSeq: TARGET.artlSeq, href: \"0\",\n });\n const dl = `${QBASE}/cst003.do?${q.toString()}`;\n x = await qFetch(dl, { headers: { referer: detailUrl, accept: \"application/pdf,*/*;q=0.8\" } }, cookie);\n if (!x.res.ok) throw new Error(`Q-Net attachment HTTP ${x.res.status}`);\n const bytes = await responseBytes(x.res);\n return { bytes, audit: await verify(\"qnet_official_session\", x.res.url || dl, bytes), resolved: { filePath, fileName, fileSeq } };\n}\n\nasync function acquire() {\n const attempts: any[] = [];\n for (const fn of [fetchStatic, fetchQNet]) {\n try {\n const got: any = await fn();\n attempts.push(got.audit);\n if (got.audit.exact) {\n const key = \"pb/2022-r59-natural-science-a/exact.pdf\";\n await blob.set(key, got.bytes);\n const provenance = {\n accepted_at: new Date().toISOString(), target: TARGET, accepted_from: got.audit.label,\n audit: got.audit, resolved: got.resolved ?? 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