[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_236":237,"_238":239},"routes/_app.x.$handle.$name",{"_107":106,"_38":50,"_115":94,"_33":116,"_13":14,"_117":-5,"_11":118,"_119":120,"_121":122,"_123":124,"_125":126,"_26":-5,"_127":128,"_129":130,"_131":31,"_132":133,"_134":64,"_135":-5,"_136":-5,"_137":138},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":-5},"project",{"_48":49,"_38":50,"_43":51,"_52":-5,"_53":31,"_54":55,"_56":55,"_57":58,"_59":-5,"_19":60,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":68,"_69":70,"_71":72,"_73":74,"_75":76,"_77":-5,"_78":79,"_80":79,"_81":82,"_83":82,"_84":82,"_85":79,"_86":79,"_87":88,"_89":90,"_91":92,"_93":31},"version",10,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","fe32f182-8d72-4d68-ac6e-93b96acf8887","aiChatThreadId","aiChatThreadUserId","aiChatThreadTitle",{"_26":27,"_28":29,"_30":31,"_32":31,"_33":34,"_35":34},"file",{"_36":37,"_38":34,"_39":26,"_40":42,"_43":44,"_45":14,"_46":47,"_30":31},"previous",{"_36":37,"_38":34,"_39":26,"_40":41},"deleted",false,"deletedHere","path","README.md","latestPath","fileId","019e4ba1-3c27-7589-9484-12ad747ac6c7","name","fileType","content","# 📡 AISI Blog RSS Feed\n\nAn unofficial RSS feed for the\n[UK AI Security Institute (AISI) blog](https://www.aisi.gov.uk/blog), which\ndoesn't provide one natively.\n\n## Usage\n\nSubscribe to the feed in your RSS reader:\n\n```\nhttps://hrbrmstr--a9fd1110460d11f1b63242b51c65c3df.web.val.run/feed\n```\n\n## How it works\n\n```mermaid\nflowchart LR\n A[AISI Blog] -->|scrape HTML| B[scraper.ts]\n B -->|upsert| C[(SQLite)]\n D[cron.ts] -->|daily trigger| B\n E[RSS Reader] -->|GET /feed| F[feed.ts]\n F -->|query| C\n F -->|render| G[RSS 2.0 XML]\n G --> E\n```\n\n### Components\n\n| File | Type | Purpose |\n| ------------ | -------- | ---------------------------------------------------------- |\n| `feed.ts` | HTTP | Serves the RSS feed at `/feed` and a landing page at `/` |\n| `cron.ts` | Interval | Runs daily to scrape and store new blog entries |\n| `scraper.ts` | Script | Fetches and parses blog entries from the AISI Webflow site |\n| `rss.ts` | Script | Generates RSS 2.0 XML from stored entries |\n| `main.ts` | Script | One-time database schema initialization |\n\n### Endpoints\n\n- **`/`** — Landing page with feed URL and links\n- **`/feed`** or **`/rss`** — RSS 2.0 XML feed\n- **`/source`** — Redirect to this val's source code\n\n### Scraper details\n\nThe AISI blog is a Webflow site. Each blog card is a\n`div.work-card-wrapper.w-dyn-item` with data fields conveniently marked via\n`fs-list-field` attributes (`title`, `category`, `date`, `description`). The\nscraper uses Cheerio to parse these into structured entries and upserts them\ninto SQLite keyed by slug.\n\n## Not affiliated with AISI","# Spicy Takes RSS Feed\n\nUnofficial RSS feed for [spicytakes.org](https://www.spicytakes.org/feed) — 1000 recent posts across 28 tech voices, LLM-analyzed and heat-rated.\n\n## What it does\n\nScrapes the Spicy Takes feed page daily, stores posts in SQLite, and serves a clean RSS 2.0 feed.\n\nEach RSS item includes:\n- 🌶️ Spiciness score (0–10)\n- ✍️ Author\n- 💡 Key Insight (LLM-extracted)\n- Summary paragraph\n- 📣 Up to 3 notable quotes\n- 🔗 Link to both the spicytakes analysis page and the original article\n\n## Architecture\n\n```mermaid\ngraph LR\n A[spicytakes.org/feed] -->|daily cron| B[scraper.ts]\n B -->|upsert| C[(SQLite)]\n C -->|query| D[rss.ts]\n D -->|serve| E[feed.ts /feed]\n```\n\n## Files\n\n| File | Purpose |\n|------|---------|\n| `scraper.ts` | Fetches & parses `spicytakes.org/feed` with cheerio |\n| `rss.ts` | Reads SQLite → generates RSS 2.0 XML |\n| `feed.ts` | HTTP handler: serves `/feed` and landing page |\n| `cron.ts` | Daily interval trigger → runs `scrapeAndStore()` |\n| `main.ts` | DB schema init (run once) |\n\n## HTML selectors used\n\nThe page is a SvelteKit SSR app. Key selectors:\n\n| Data | Selector |\n|------|---------|\n| Month group (year context) | `section.month-group` → `span.month-label` |\n| Post card | `article.post-card` |\n| Author | `span.author-name` |\n| Date | `time.post-date` (e.g. \"May 18\"; year inferred from month group) |\n| Heat score | `span.spicy-badge` |\n| Title + analysis URL | `h3.post-title a` |\n| Key insight | `p.post-insight` |\n| Summary | `p.post-summary` |\n| Quotes | `blockquote.feed-quote p` |\n| Original source URL | `a.action-secondary` (\"Original\" button) |\n\n## Setup\n\n1. Run `main.ts` once to initialize the database schema\n2. Run `cron.ts` manually (or wait for the daily trigger) to do the first scrape\n3. The feed is live at `/feed`\n","createdAt",["D",1779385516595],"branchVersion","branchId","5dbbc880-553c-11f1-a0c1-ee650bb23af1","id","5db6e360-553c-11f1-a0c1-ee650bb23af1","spicy-takes-rss",["D",1779385318374],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","RSS feed gen for the Spicy Takes agg (spicytakes.org)","imageUrl","660e611e-30de-4ed3-8449-79507be25f74","pinnedFileId","019e4ba1-3c27-7589-9484-1be4e0f2513b","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","f4053730-af3b-4f20-9c5e-6d19f910dfd0","tursoName","5db6e360553c11f1a0c1ee650bb23af1","tursoHostname","5db6e360553c11f1a0c1ee650bb23af1-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789501263826],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_107":106,"_114":110},"org",{"_107":106,"_108":-5,"_109":110,"_19":60,"_111":112,"_113":31},"branch",{"_13":14,"_38":94,"_48":47,"_95":49,"_96":97,"_98":99,"_100":55,"_101":102,"_103":70,"_104":50,"_105":106},"isOwned","main","projectId","forkedBranchId","e6d4b62a-460c-11f1-9efa-42b51c65c3df","forkedBranchVersion",13,"forkedProjectPrivacy","forkedProjectId","e6d3dcaa-460c-11f1-9efa-42b51c65c3df","forkedProjectOrgId","projectName","userHandle","hrbrmstr","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ybTQ2MzZSZEl6dm1wZjZnT1hJM2NGNjFCbWgifQ","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_48":49,"_38":50,"_43":231,"_52":-5,"_53":31,"_54":55,"_56":55,"_57":58,"_59":-5,"_19":60,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":68,"_69":70,"_71":72,"_73":74,"_75":232,"_77":-5,"_78":79,"_80":79,"_81":82,"_83":82,"_84":82,"_85":79,"_86":79,"_87":233,"_89":234,"_91":235,"_93":31},"tree",[206,207,208,209,210,211],"files",[206,207,208,209,210,211],"counts",{"_196":68,"_197":160,"_198":160,"_199":200,"_201":202},"contents",[147,148,149,150,151,152],"upstreamProject",{"_48":102,"_38":144,"_57":145,"_59":-5,"_54":55,"_87":146},"upstreamBranch",{"_48":97,"_43":139,"_140":141,"_38":94,"_95":102,"_13":99,"_96":-5,"_98":-5,"_142":143,"_52":-5,"_93":31,"_54":55,"_105":106,"_69":70,"_104":144},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1777715665144],"updatedAt",["D",1777717667629],"lockfileKey","1777717671816-esm.town_v_hrbrmstr_aisi-rss@13-main","aisi-rss","RSS feed generator for the AISI blog (aisi.gov.uk/blog)",{"_107":106,"_114":110},{"_48":193,"_38":34,"_36":37,"_156":-5,"_46":47,"_45":14,"_158":64,"_43":194,"_13":160,"_39":26,"_40":42,"_30":31,"_163":-5,"_33":195},{"_48":186,"_38":187,"_36":188,"_156":-5,"_46":47,"_45":160,"_158":64,"_43":189,"_13":68,"_39":190,"_40":191,"_30":31,"_163":-5,"_33":192},{"_48":179,"_38":180,"_36":62,"_156":-5,"_46":47,"_45":181,"_158":64,"_43":182,"_13":160,"_39":183,"_40":184,"_30":31,"_163":-5,"_33":185},{"_48":172,"_38":173,"_36":174,"_156":-5,"_46":47,"_45":175,"_158":64,"_43":176,"_13":160,"_39":161,"_40":177,"_30":31,"_163":-5,"_33":178},{"_48":165,"_38":166,"_36":167,"_156":-5,"_46":47,"_45":168,"_158":64,"_43":169,"_13":160,"_39":161,"_40":170,"_30":31,"_163":-5,"_33":171},{"_48":153,"_38":154,"_36":155,"_156":-5,"_46":47,"_45":157,"_158":64,"_43":159,"_13":160,"_39":161,"_40":162,"_30":31,"_163":-5,"_33":164},"a9ba6e26-553c-11f1-a544-ee650bb23af1","scraper.ts","019e4ba1-3c27-7589-9484-258de7de5636","parentId",5,"latest",["D",1779385445902],1,"script","// Blog scraper module — fetches and parses spicytakes.org/feed entries.\n//\n// Page structure (SvelteKit SSR):\n// section.month-group — groups posts by month\n// .month-header > span.month-label — \"May 2026\", \"April 2026\", etc.\n// article.post-card — one post per card\n// .post-meta\n// span.author-name — author display name\n// time.post-date — \"May 18\" (no year — inferred from month-group)\n// span.spicy-badge — heat score, e.g. \"7.2\"\n// h3.post-title a — title text + spicytakes analysis URL (href)\n// p.post-insight — key insight (text starts with \"Key Insight: \")\n// p.post-summary — summary paragraph\n// blockquote.feed-quote p — notable quotes (0–3)\n// a.action-secondary — \"Original\" link → actual source article URL\n\nimport * as cheerio from \"npm:cheerio@1.0.0\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst FEED_URL = \"https://www.spicytakes.org/feed\";\n\nexport interface BlogEntry {\n slug: string;\n title: string;\n author: string;\n heat: number | null;\n pubDate: string;\n insight: string | null;\n summary: string | null;\n quotes: string | null; // JSON array of strings\n link: string; // spicytakes analysis URL\n originalLink: string | null; // actual source article URL\n}\n\n/**\n * Parse a month-label string like \"May 2026\" → year number.\n * Falls back to current year on failure.\n */\nfunction yearFromMonthLabel(label: string): number {\n const match = label.match(/(\\d{4})/);\n return match ? parseInt(match[1], 10) : new Date().getFullYear();\n}\n\n/**\n * Parse a date string like \"May 18\" combined with a year into an ISO string.\n */\nfunction parsePostDate(dateText: string, year: number): string {\n const cleaned = dateText.replace(/\\s+/g, \" \").trim();\n const d = new Date(`${cleaned} ${year}`);\n if (isNaN(d.getTime())) {\n console.warn(`Could not parse date: \"${cleaned} ${year}\"`);\n return new Date().toISOString();\n }\n return d.toISOString();\n}\n\n/**\n * Derive a slug from a spicytakes analysis URL.\n * e.g. \"https://daringfireball.spicytakes.org/post/2026-05-16-ai_is_technology_not_a_product\"\n * → \"daringfireball/2026-05-16-ai_is_technology_not_a_product\"\n */\nfunction slugFromUrl(url: string): string {\n try {\n const u = new URL(url);\n const subdomain = u.hostname.replace(\".spicytakes.org\", \"\");\n const postSlug = u.pathname.replace(/^\\/post\\//, \"\").replace(/\\/$/, \"\");\n return `${subdomain}/${postSlug}`;\n } catch {\n return url;\n }\n}\n\n/**\n * Fetch and parse all post cards from spicytakes.org/feed.\n */\nexport async function fetchBlogEntries(): Promise {\n const res = await fetch(FEED_URL, {\n headers: {\n \"User-Agent\": \"SpicyTakes-RSS-Bot/1.0 (Val Town; RSS feed generator)\",\n \"Accept\": \"text/html\",\n },\n });\n\n if (!res.ok) {\n throw new Error(`Failed to fetch feed: ${res.status} ${res.statusText}`);\n }\n\n const html = await res.text();\n const $ = cheerio.load(html);\n const entries: BlogEntry[] = [];\n\n // Iterate month groups to get the year context for each card's date\n $(\"section.month-group\").each((_mi, monthSection) => {\n const monthLabel = $(monthSection).find(\"span.month-label\").first().text().trim();\n const year = yearFromMonthLabel(monthLabel);\n\n $(monthSection).find(\"article.post-card\").each((_pi, card) => {\n const $card = $(card);\n\n // Author\n const author = $card.find(\"span.author-name\").first().text().trim();\n if (!author) return;\n\n // Date (just \"May 18\" — no year)\n const dateText = $card.find(\"time.post-date\").first().text().trim();\n if (!dateText) return;\n const pubDate = parsePostDate(dateText, year);\n\n // Heat score\n const heatText = $card.find(\"span.spicy-badge\").first().text().trim();\n const heat = heatText ? parseFloat(heatText) : null;\n\n // Title + analysis link (spicytakes URL)\n const titleEl = $card.find(\"h3.post-title a\").first();\n const title = titleEl.text().trim();\n if (!title) return;\n const link = titleEl.attr(\"href\") ?? \"\";\n if (!link) return;\n\n const slug = slugFromUrl(link);\n\n // Key insight (strip leading \"Key Insight: \" label)\n const insightRaw = $card.find(\"p.post-insight\").first().text().trim();\n const insight = insightRaw.replace(/^Key Insight:\\s*/i, \"\").trim() || null;\n\n // Summary\n const summary = $card.find(\"p.post-summary\").first().text().trim() || null;\n\n // Quotes — collect blockquote text\n const quotesList: string[] = [];\n $card.find(\"blockquote.feed-quote\").each((_qi, bq) => {\n const qText = $(bq).find(\"p\").first().text().trim();\n if (qText) quotesList.push(qText);\n });\n const quotes = quotesList.length > 0 ? JSON.stringify(quotesList) : null;\n\n // Original source link (the \"Original\" button)\n const originalLink = $card.find(\"a.action-secondary\").first().attr(\"href\") ?? null;\n\n entries.push({\n slug,\n title,\n author,\n heat,\n pubDate,\n insight,\n summary,\n quotes,\n link,\n originalLink,\n });\n });\n });\n\n console.log(`Parsed ${entries.length} post entries`);\n return entries;\n}\n\n/**\n * Upsert blog entries into SQLite.\n */\nexport async function upsertEntries(entries: BlogEntry[]): Promise {\n if (entries.length === 0) return 0;\n\n const statements = entries.map((e) => ({\n sql: `INSERT INTO blog_entries\n (slug, title, author, heat, pub_date, insight, summary, quotes, link, original_link)\n VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)\n ON CONFLICT(slug) DO UPDATE SET\n title = excluded.title,\n author = excluded.author,\n heat = excluded.heat,\n pub_date = excluded.pub_date,\n insight = excluded.insight,\n summary = excluded.summary,\n quotes = excluded.quotes,\n link = excluded.link,\n original_link= excluded.original_link,\n updated_at = datetime('now')`,\n args: [\n e.slug, e.title, e.author, e.heat, e.pubDate,\n e.insight, e.summary, e.quotes, e.link, e.originalLink,\n ] as (string | number | null)[],\n }));\n\n const results = await sqlite.batch(statements);\n const totalAffected = results.reduce((sum, r) => sum + (r.rowsAffected ?? 0), 0);\n return totalAffected;\n}\n\n/**\n * Full scrape + store pipeline. Returns summary.\n */\nexport async function scrapeAndStore(): Promise {\n const entries = await fetchBlogEntries();\n const count = await upsertEntries(entries);\n const msg = `Scraped ${entries.length} entries, upserted ${count}`;\n console.log(msg);\n return msg;\n}\n","label",[154],"b8c84244-553c-11f1-9d30-ee650bb23af1","rss.ts","019e4ba1-3c27-7589-9484-20b6558f5ec4",7,["D",1779385471147],"// RSS feed generator — reads Spicy Takes entries from SQLite and serves RSS 2.0 XML.\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst FEED_TITLE = \"Spicy Takes Feed\";\nconst FEED_DESCRIPTION = \"Recent posts from spicytakes.org — 28 tech voices, LLM-analyzed and rated\";\nconst FEED_LINK = \"https://www.spicytakes.org/feed\";\n\nfunction escapeXml(str: string): string {\n return str\n .replace(/&/g, \"&\")\n .replace(//g, \">\")\n .replace(/\"/g, \""\")\n .replace(/'/g, \"'\");\n}\n\n/**\n * Build the RSS content for a post.\n * Includes heat score, key insight, summary, and top quotes.\n */\nfunction buildDescription(row: Record): string {\n const parts: string[] = [];\n\n if (row.heat != null) {\n parts.push(`🌶️ Spiciness: ${row.heat}/10`);\n }\n if (row.author) {\n parts.push(`✍️ ${row.author}`);\n }\n if (row.insight) {\n parts.push(`\\n💡 Key Insight: ${row.insight}`);\n }\n if (row.summary) {\n parts.push(`\\n${row.summary}`);\n }\n if (row.quotes) {\n try {\n const quotes = JSON.parse(String(row.quotes)) as string[];\n if (quotes.length > 0) {\n parts.push(\"\\n📣 Notable quotes:\");\n for (const q of quotes.slice(0, 3)) {\n parts.push(` • ${q}`);\n }\n }\n } catch {\n // ignore malformed JSON\n }\n }\n if (row.original_link) {\n parts.push(`\\n🔗 Original: ${row.original_link}`);\n }\n\n return parts.join(\"\\n\");\n}\n\n/**\n * Generate RSS 2.0 XML from stored Spicy Takes entries.\n */\nexport async function generateRss(feedUrl: string): Promise {\n const result = await sqlite.execute(\n `SELECT slug, title, author, heat, pub_date, insight, summary, quotes, link, original_link\n FROM blog_entries\n ORDER BY pub_date DESC`,\n );\n\n const items = result.rows\n .map((row) => {\n const title = escapeXml(String(row.title ?? \"\"));\n // Link to the spicytakes analysis page; fall back to original\n const link = escapeXml(String(row.link ?? row.original_link ?? \"\"));\n const description = escapeXml(buildDescription(row));\n const author = row.author ? `${escapeXml(String(row.author))}` : \"\";\n const pubDate = row.pub_date ? new Date(String(row.pub_date)).toUTCString() : \"\";\n const guid = escapeXml(String(row.slug ?? \"\"));\n // Expose the original link as a custom element for feed readers that support it\n const origEl = row.original_link\n ? `${escapeXml(String(row.author ?? \"\"))}`\n : \"\";\n const heat = row.heat != null ? `${row.heat}` : \"\";\n\n return ` \n ${title}\n ${link}\n ${description}\n ${author}\n ${pubDate}\n ${link}\n ${origEl}\n ${heat}\n `;\n })\n .join(\"\\n\");\n\n const lastBuildDate = new Date().toUTCString();\n\n return `\n\n \n ${escapeXml(FEED_TITLE)}\n ${escapeXml(FEED_LINK)}\n ${escapeXml(FEED_DESCRIPTION)}\n en\n ${lastBuildDate}\n \n${items}\n \n`;\n}\n",[166],"ae76a6b4-553c-11f1-8ed4-ee650bb23af1","main.ts","019e4ba1-3c27-7589-9484-1f130099fd7c",6,["D",1779385453847],"// Database initialization script — run once to set up the schema.\n// Can be re-run safely (uses IF NOT EXISTS / ADD COLUMN IF NOT EXISTS via try/catch).\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// Drop old table if columns changed (safe for first-run; data is re-scraped by cron)\nawait sqlite.execute(`DROP TABLE IF EXISTS blog_entries`);\n\nawait sqlite.execute(`\n CREATE TABLE IF NOT EXISTS blog_entries (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n slug TEXT UNIQUE NOT NULL,\n title TEXT NOT NULL,\n author TEXT NOT NULL,\n heat REAL,\n pub_date TEXT NOT NULL,\n insight TEXT,\n summary TEXT,\n quotes TEXT, -- JSON array of quote strings\n link TEXT NOT NULL, -- spicytakes.org analysis URL\n original_link TEXT, -- original source article URL\n created_at TEXT DEFAULT (datetime('now')),\n updated_at TEXT DEFAULT (datetime('now'))\n )\n`);\n\nawait sqlite.execute(`\n CREATE INDEX IF NOT EXISTS idx_blog_entries_pub_date ON blog_entries(pub_date DESC)\n`);\n\nawait sqlite.execute(`\n CREATE INDEX IF NOT EXISTS idx_blog_entries_slug ON blog_entries(slug)\n`);\n\nawait sqlite.execute(`\n CREATE INDEX IF NOT EXISTS idx_blog_entries_author ON blog_entries(author)\n`);\n\nconsole.log(\"✅ Database schema initialized\");\n",[173],"c1bcda86-553c-11f1-8ed4-ee650bb23af1","feed.ts",8,["D",1779385486179],"http","// HTTP endpoint — serves the RSS feed and a simple landing page.\nimport { generateRss } from \"./rss.ts\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const feedUrl = `${url.origin}/feed`;\n\n // Serve RSS feed at /feed or /rss\n if (url.pathname === \"/feed\" || url.pathname === \"/rss\") {\n const xml = await generateRss(feedUrl);\n return new Response(xml, {\n headers: {\n \"Content-Type\": \"application/rss+xml; charset=utf-8\",\n \"Cache-Control\": \"public, max-age=3600\",\n },\n });\n }\n\n // Source redirect\n if (url.pathname === \"/source\") {\n const { links } = parseVal();\n return new Response(null, { status: 302, headers: { Location: links.self.val } });\n }\n\n // Landing page at root\n const { links } = parseVal();\n const html = `\n\n\n \n \n Spicy Takes RSS Feed\n \n \n\n\n

🌶️

Spicy Takes RSS Feed

\n An unofficial RSS feed for\n spicytakes.org —\n 1000 recent posts across 28 tech voices, LLM-analyzed and heat-rated.\n Updated daily.\n

\n\n

RSS Feed URL:

\n ${feedUrl}\n

\n\n

\n \n 📰 View RSS Feed\n \n \n 🔗 View Source\n \n

\n\n

\n Scrapes spicytakes.org/feed daily.\n Not affiliated with Spicy Takes.\n

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