[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_333":334,"_335":336},"routes/_app.x.$handle.$name",{"_104":103,"_37":49,"_113":94,"_32":114,"_13":14,"_115":-5,"_11":116,"_117":118,"_119":120,"_121":122,"_123":124,"_26":-5,"_125":-5,"_126":-5,"_127":30,"_128":129,"_130":63,"_131":-5,"_132":-5,"_133":134},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":-5},"project",{"_47":48,"_37":49,"_42":50,"_51":-5,"_52":30,"_53":54,"_55":54,"_56":57,"_58":-5,"_19":59,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":67,"_68":69,"_70":71,"_72":73,"_74":75,"_76":-5,"_77":78,"_79":78,"_80":81,"_82":81,"_83":81,"_84":78,"_85":78,"_86":87,"_88":89,"_90":91,"_92":30},"version",24,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","0e364a7c-3d72-4059-abf1-6a555991b179","aiChatThreadId","aiChatThreadUserId","aiChatThreadTitle",{"_26":27,"_28":-7,"_29":30,"_31":30,"_32":33,"_34":33},"file",{"_35":36,"_37":38,"_39":26,"_40":41,"_42":43,"_44":14,"_45":46,"_29":30},"previous","deleted",false,"deletedHere","path","python/depth_first_search.py","latestPath","fileId","03014d1a-a547-11f1-94b6-1607ee4eb77e","name","depth_first_search.py","fileType","content","#!/usr/bin/env python3\n\"\"\"Perform Depth-First Search (DFS) on a graph.\n\nThe graph is represented as an adjacency dict:\n graph = { \"A\": [\"B\", \"C\"], \"B\": [\"D\"], \"C\": [\"E\"], \"D\": [], \"E\": [] }\n\nDFS is provided in both recursive and iterative forms.\n\nUsage:\n python depth_first_search.py A E # search from A for E\n\"\"\"\n\nimport sys\n\n# Example graph (a directed graph).\nGRAPH = {\n \"A\": [\"B\", \"C\"],\n \"B\": [\"D\", \"E\"],\n \"C\": [\"F\"],\n \"D\": [],\n \"E\": [\"F\"],\n \"F\": [],\n}\n\n\ndef dfs_recursive(graph, node, target, visited=None, path=None):\n \"\"\"Return the DFS path from `node` searching for `target` (recursive).\"\"\"\n visited = visited if visited is not None else set()\n path = path if path is not None else []\n visited.add(node)\n path.append(node)\n if node == target:\n return path\n for neighbor in graph.get(node, []):\n if neighbor not in visited:\n result = dfs_recursive(graph, neighbor, target, visited, path)\n if result:\n return result\n return None\n\n\ndef dfs_iterative(graph, start, target):\n \"\"\"Return the DFS path from `start` searching for `target` (iterative).\"\"\"\n stack = [start]\n visited = set()\n parent = {start: None}\n while stack:\n node = stack.pop()\n if node in visited:\n continue\n visited.add(node)\n if node == target:\n # Reconstruct path back from target via parents.\n path = []\n cur = node\n while cur is not None:\n path.append(cur)\n cur = parent.get(cur)\n return path[::-1]\n for neighbor in reversed(graph.get(node, [])):\n if neighbor not in visited:\n parent[neighbor] = node\n stack.append(neighbor)\n return None\n\n\ndef main():\n start = sys.argv[1] if len(sys.argv) >= 2 else \"A\"\n target = sys.argv[2] if len(sys.argv) >= 2 else \"F\"\n\n print(f\"DFS from {start} searching for {target}\")\n print(\"Graph:\", GRAPH)\n print(\"Recursive path:\", dfs_recursive(GRAPH, start, target))\n print(\"Iterative path:\", dfs_iterative(GRAPH, start, target))\n\n\nif __name__ == \"__main__\":\n main()\n","createdAt",["D",1788185983678],"branchVersion","branchId","facc9d3b-2591-46d4-aa09-877f74dd5fe8","id","76d48347-9504-4164-8b61-d6b8707b38ca","newval",["D",1788008896829],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","The Vibe Board — a public guestbook with a daily vibe.","imageUrl","99124ac5-1fde-4d43-8302-fbafdac4084a","pinnedFileId","b33b4de6-a3aa-11f1-8e7b-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",1,"orgId","019fd78e-d597-712d-a568-d11b132905d8","tursoName","76d48347950441648b61d6b8707b38ca","tursoHostname","76d48347950441648b61d6b8707b38ca-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789484509295],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_104":103,"_112":108},"org",{"_104":103,"_105":106,"_107":108,"_19":-5,"_109":110,"_111":30},"branch",{"_13":93,"_37":94,"_47":46,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"isOwned",34,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","darkworld","handle","displayName","Dark","avatar","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/59607acb-2124-4a41-8bc3-f89534b62001/square512?exp=1789538399&sig=8b96449fb0b597d2faf5dded3919b0716c77d563e3ab75a69857ef6584a4d116","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_47":48,"_37":49,"_42":328,"_51":-5,"_52":30,"_53":54,"_55":54,"_56":57,"_58":-5,"_19":59,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":67,"_68":69,"_70":71,"_72":73,"_74":329,"_76":-5,"_77":78,"_79":78,"_80":81,"_82":81,"_83":81,"_84":78,"_85":78,"_86":330,"_88":331,"_90":332,"_92":30},"tree",[200,213,214,215,216,217],"files",[200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217],"counts",{"_190":148,"_191":67,"_192":148,"_193":194,"_195":196},"contents",[135,136,137,138,139,140],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_47":183,"_37":184,"_35":185,"_144":-5,"_45":46,"_44":186,"_146":63,"_42":187,"_13":148,"_39":188,"_40":-5,"_29":30,"_151":-5,"_32":189},{"_47":176,"_37":177,"_35":178,"_144":-5,"_45":46,"_44":179,"_146":63,"_42":180,"_13":148,"_39":26,"_40":181,"_29":30,"_151":-5,"_32":182},{"_47":168,"_37":169,"_35":170,"_144":-5,"_45":46,"_44":171,"_146":63,"_42":172,"_13":148,"_39":173,"_40":174,"_29":30,"_151":-5,"_32":175},{"_47":159,"_37":160,"_35":61,"_144":-5,"_45":46,"_44":161,"_146":63,"_42":162,"_13":163,"_39":164,"_40":165,"_29":30,"_151":166,"_32":167},{"_47":153,"_37":154,"_35":155,"_144":-5,"_45":46,"_44":156,"_146":63,"_42":157,"_13":148,"_39":149,"_40":114,"_29":30,"_151":-5,"_32":158},{"_47":141,"_37":142,"_35":143,"_144":-5,"_45":46,"_44":145,"_146":63,"_42":147,"_13":148,"_39":149,"_40":150,"_29":30,"_151":-5,"_32":152},"2606a41c-1b9a-4fdc-9f3f-5e89dc185da1","vibes.ts","f6afd4d4-a3aa-11f1-9ea1-1607ee4eb77e","parentId",2,"latest",["D",1788009010361],0,"script","/** A little library of vibes. Shared by the HTTP app and the daily cron. */\n\nexport const VIBES = [\n \"Ship something small today.\",\n \"Small vals, big projects.\",\n \"Drizzle some JS on it.\",\n \"The deploy is the feature.\",\n \"One cron at a time.\",\n \"Your future self says thanks.\",\n \"Write code, ship joy.\",\n \"Every great app started as a throwaway val.\",\n \"Idempotent and at peace.\",\n \"Just hit refresh — it's live.\",\n \"Serverless, but make it fun.\",\n \"A blob a day keeps the bugs away.\",\n];\n\n/** Deterministically pick a vibe for a given date (YYYY-MM-DD). */\nexport function vibeFor(dateStr: string): string {\n let hash = 0;\n for (const ch of dateStr) hash = (hash * 31 + ch.charCodeAt(0)) >>> 0;\n return VIBES[hash % VIBES.length];\n}\n","label",[142],"146d4de3-1e05-4528-a05e-f6a3e09f951d","new-file-6457.ts","6d1982ae-a3ac-11f1-ad67-1607ee4eb77e",12,["D",1788009638518],[154],"9db92b4e-8589-45ef-a0ce-90996e4031b2","main.ts",10,["D",1788009128415],7,"http","/**\n * The Vibe Board — a tiny public guestbook that shows off a few Val Town basics:\n * - an HTTP endpoint (this file)\n * - SQLite for the visitor counter and the notes\n * - blob storage for the daily vibe (written by the daily-vibe cron)\n * - viewer identity via the X-Val-Town-User header\n */\nimport { Hono } from \"npm:hono\";\nimport { html, raw } from \"npm:hono/html\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { vibeFor } from \"./vibes.ts\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\n// ---- schema (idempotent across restarts) ----\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS notes (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n author TEXT NOT NULL,\n body TEXT NOT NULL,\n created_at TEXT NOT NULL\n)`);\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS visits (\n id INTEGER PRIMARY KEY AUTOINCREMENT\n)`);\n\ntype Note = { id: number; author: string; body: string; created_at: string };\n\n// ---- viewer identity ----\nconst IDENTITY_HEADER = \"X-Val-Town-User\";\n\n/** Resolve the viewer's public profile, or return null (public/bot callers). */\nasync function getViewer(req: Request) {\n const signed = req.headers.get(IDENTITY_HEADER);\n if (!signed) return null;\n const res = await fetch(\"https://api.val.town/v3/val/viewer\", {\n headers: {\n Authorization: `Bearer ${Deno.env.get(\"valtown\")}`,\n [IDENTITY_HEADER]: signed,\n },\n });\n if (!res.ok) return null;\n return await res.json();\n}\n\n// ---- page ----\nfunction noteCards(notes: Note[]) {\n if (notes.length === 0) {\n return html`

Nobody's vibed yet. Be the first 👇

`;\n }\n const cards = notes.map((n) => html`\n

\n @${n.author}\n

${n.body}

\n `).join(\"\\n\");\n return raw(cards);\n}\n\nfunction page(opts: { visitor: string; visits: number; vibe: string; notes: Note[] }) {\n const { visitor, visits, vibe, notes } = opts;\n return html`\n\n \n \n \n The Vibe Board\n \n \n \n

✨ The Vibe Board

Welcome, ${visitor}. Leave a mark.

\n Vibe of the day: ${vibe}\n

\n ${visits} visits\n ${notes.length} notes\n

\n \n

Guestbook

\n ${noteCards(notes)}\n

\n \n \n \n`;\n}\n\n// ---- routes ----\napp.get(\"/\", async (c) => {\n await sqlite.execute(\"INSERT INTO visits DEFAULT VALUES\");\n const [{ count }] = (await sqlite.execute(\"SELECT COUNT(*) AS count FROM visits\")).rows;\n const visits = Number(count ?? 0);\n\n const viewer = await getViewer(c.req.raw);\n const visitor = viewer?.username ?? \"mysterious stranger\";\n\n const notes = (await sqlite.execute(\"SELECT * FROM notes ORDER BY id DESC LIMIT 50\")).rows as Note[];\n\n const dateStr = new Date().toISOString().slice(0, 10);\n const vibe = (await blob.getJSON(\"vibe:\" + dateStr)) ?? vibeFor(dateStr);\n\n return c.html(page({ visitor, visits, vibe, notes }));\n});\n\n// Accept the form POST (browser) and also tolerate JSON or raw text bodies\napp.post(\"/\", async (c) => {\n let body = \"\";\n const ct = c.req.header(\"content-type\") ?? \"\";\n if (ct.includes(\"application/json\")) {\n const j = await c.req.json().catch(() => ({}));\n body = String(j?.body ?? \"\");\n } else if (ct.includes(\"x-www-form-urlencoded\")) {\n const form = await c.req.formData();\n body = String(form.get(\"body\") ?? \"\");\n } else {\n const text = await c.req.text();\n body = String(new URLSearchParams(text).get(\"body\") ?? \"\");\n }\n body = body.trim().slice(0, 200);\n const viewer = await getViewer(c.req.raw);\n const author = viewer?.username ?? \"anonymous\";\n if (body) {\n await sqlite.execute({\n sql: \"INSERT INTO notes (author, body, created_at) VALUES (?, ?, ?)\",\n args: [author, body, new Date().toISOString()],\n });\n }\n return c.redirect(\"/\");\n});\n\napp.get(\"/api/notes\", async (c) => {\n const notes = await sqlite.execute(\"SELECT * FROM notes ORDER BY id DESC LIMIT 50\");\n return c.json(notes.rows);\n});\n\nexport default app.fetch;\n","vibe-board",[160],"88251558-9580-43e2-9fde-53fab452a1d2","daily-vibe.ts","f6b70862-a3aa-11f1-9ea1-1607ee4eb77e",3,["D",1788009010407],"interval","/**\n * Daily cron: stores today's \"vibe of the day\" in the val's blob storage.\n * The HTTP app reads it back so the vibe rolls over once per day.\n */\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { vibeFor } from \"./vibes.ts\";\n\nexport default async function (_interval: Interval) {\n const dateStr = new Date().toISOString().slice(0, 10);\n await blob.setJSON(\"vibe:\" + dateStr, vibeFor(dateStr));\n console.log(`Set vibe of the day (${dateStr}): ${vibeFor(dateStr)}`);\n}\n",[169],"e04868cf-2699-4ab8-9492-7928c4301833","README.md","573fd4a2-a3ab-11f1-9ea1-1607ee4eb77e",11,["D",1788009169895],"# ✨ The Vibe Board\n\nA tiny public guestbook that showcases a handful of **Val Town basics** in one little app. Anyone with the link can drop a one-liner on the board, and a fresh \"vibe of the day\" rolls over every morning.\n\n## 🌐 Live\n\n[Try the app](url:main.ts) · lives at \n\n## What it demonstrates\n\n| Capability | Where |\n| --- | --- |\n| 🚀 HTTP endpoint | [`main.ts`](main.ts) — Hono server, served at a custom subdomain |\n| 🗄️ SQLite | [`main.ts`](main.ts) — visitor counter + guestbook notes via `std/sqlite` |\n| ☁️ Blob storage | [`daily-vibe.ts`](daily-vibe.ts) — the daily vibe persisted via `std/blob` |\n| 🕐 Interval cron | [`daily-vibe.ts`](daily-vibe.ts) — runs at `10 0 * * *` (UTC) |\n| 👤 Viewer identity | [`main.ts`](main.ts) — greets logged-in visitors via `X-Val-Town-User` |\n\n## Files\n\n- **`main.ts`** — the HTTP app: renders the page, accepts POSTs, and exposes a JSON API at `/api/notes`.\n- **`vibes.ts`** — a shared list of vibes + the deterministic `vibeFor(date)` picker.\n- **`daily-vibe.ts`** — a nightly cron that stores today's vibe in blob storage.\n\n## Try it\n\n- Visit for the raw guestbook as JSON.\n- Post a vibe in the box on the homepage — it's stored in SQLite and shown to everyone.\n\n## Notes\n\n- Code runs on Val Town's Deno runtime — no filesystem, so state lives in `std/sqlite` and `std/blob`.\n- The cron sets a blob key per date; if it hasn't run yet, the app falls back to computing the same vibe deterministically.\n",[177],"7d1cd943-2505-40a3-8c71-d82cdb423c40","python","eae93186-1417-4d16-a731-f2fc5bf3a7bd",13,["D",1788182576388],"directory",[184],"pulls","branches","forks","envVars",{"_197":148,"_199":148},"connections",{"_197":148,"_198":148},"count","unfilledCount","emptyCount",{"_47":183,"_37":184,"_35":185,"_144":-5,"_45":46,"_44":186,"_146":63,"_42":325,"_13":148,"_39":188,"_40":-5,"_29":30,"_151":-5,"_219":326,"_32":327},{"_47":317,"_37":318,"_35":319,"_144":185,"_45":46,"_44":320,"_146":63,"_42":321,"_13":148,"_39":26,"_40":322,"_29":30,"_151":-5,"_219":323,"_32":324},{"_47":309,"_37":310,"_35":311,"_144":185,"_45":46,"_44":312,"_146":63,"_42":313,"_13":148,"_39":26,"_40":314,"_29":30,"_151":-5,"_219":315,"_32":316},{"_47":305,"_37":38,"_35":36,"_144":185,"_45":46,"_44":14,"_146":63,"_42":306,"_13":148,"_39":26,"_40":41,"_29":30,"_151":-5,"_219":307,"_32":308},{"_47":297,"_37":298,"_35":299,"_144":185,"_45":46,"_44":300,"_146":63,"_42":301,"_13":148,"_39":26,"_40":302,"_29":30,"_151":-5,"_219":303,"_32":304},{"_47":289,"_37":290,"_35":291,"_144":185,"_45":46,"_44":292,"_146":63,"_42":293,"_13":148,"_39":26,"_40":294,"_29":30,"_151":-5,"_219":295,"_32":296},{"_47":281,"_37":282,"_35":283,"_144":185,"_45":46,"_44":284,"_146":63,"_42":285,"_13":148,"_39":26,"_40":286,"_29":30,"_151":-5,"_219":287,"_32":288},{"_47":273,"_37":274,"_35":275,"_144":185,"_45":46,"_44":276,"_146":63,"_42":277,"_13":148,"_39":26,"_40":278,"_29":30,"_151":-5,"_219":279,"_32":280},{"_47":265,"_37":266,"_35":267,"_144":185,"_45":46,"_44":268,"_146":63,"_42":269,"_13":148,"_39":26,"_40":270,"_29":30,"_151":-5,"_219":271,"_32":272},{"_47":257,"_37":258,"_35":259,"_144":185,"_45":46,"_44":260,"_146":63,"_42":261,"_13":148,"_39":26,"_40":262,"_29":30,"_151":-5,"_219":263,"_32":264},{"_47":250,"_37":251,"_35":252,"_144":185,"_45":46,"_44":186,"_146":63,"_42":253,"_13":148,"_39":26,"_40":254,"_29":30,"_151":-5,"_219":255,"_32":256},{"_47":242,"_37":243,"_35":244,"_144":185,"_45":46,"_44":245,"_146":63,"_42":246,"_13":148,"_39":26,"_40":247,"_29":30,"_151":-5,"_219":248,"_32":249},{"_47":234,"_37":235,"_35":236,"_144":185,"_45":46,"_44":237,"_146":63,"_42":238,"_13":148,"_39":26,"_40":239,"_29":30,"_151":-5,"_219":240,"_32":241},{"_47":176,"_37":177,"_35":178,"_144":-5,"_45":46,"_44":179,"_146":63,"_42":231,"_13":148,"_39":26,"_40":181,"_29":30,"_151":-5,"_219":232,"_32":233},{"_47":168,"_37":169,"_35":170,"_144":-5,"_45":46,"_44":171,"_146":63,"_42":228,"_13":148,"_39":173,"_40":174,"_29":30,"_151":-5,"_219":229,"_32":230},{"_47":159,"_37":160,"_35":61,"_144":-5,"_45":46,"_44":161,"_146":63,"_42":225,"_13":163,"_39":164,"_40":165,"_29":30,"_151":166,"_219":226,"_32":227},{"_47":153,"_37":154,"_35":155,"_144":-5,"_45":46,"_44":156,"_146":63,"_42":222,"_13":148,"_39":149,"_40":114,"_29":30,"_151":-5,"_219":223,"_32":224},{"_47":141,"_37":142,"_35":143,"_144":-5,"_45":46,"_44":145,"_146":63,"_42":218,"_13":148,"_39":149,"_40":150,"_29":30,"_151":-5,"_219":220,"_32":221},["D",1788009010361],"children",[],[142],["D",1788009638518],[],[154],["D",1788009128415],[],[160],["D",1788009010407],[],[169],["D",1788009169895],[],[177],"7b271cb4-d5ba-4407-9a0b-f42715b3d51c","todo_list.py","fb3b1188-a546-11f1-980b-1607ee4eb77e",19,["D",1788185970634],"#!/usr/bin/env python3\n\"\"\"A simple command-line todo list.\n\nTasks are saved to a JSON file so they persist between runs.\n\nUsage:\n python todo_list.py add \"Buy milk\"\n python todo_list.py list\n python todo_list.py done 1\n python todo_list.py remove 1\n\"\"\"\n\nimport json\nimport os\nimport sys\n\nDATA_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), \"todos.json\")\n\n\ndef load_todos():\n if os.path.exists(DATA_FILE):\n with open(DATA_FILE, \"r\", encoding=\"utf-8\") as f:\n return json.load(f)\n return []\n\n\ndef save_todos(todos):\n with open(DATA_FILE, \"w\", encoding=\"utf-8\") as f:\n json.dump(todos, f, indent=2)\n\n\ndef show(todos):\n if not todos:\n print(\"No tasks yet. Add one with: python todo_list.py add \\\"task\\\"\")\n return\n for i, task in enumerate(todos, 1):\n status = \"[x]\" if task.get(\"done\") else \"[ ]\"\n print(f\"{status} {i}. {task['text']}\")\n\n\ndef main():\n if len(sys.argv) < 2:\n print(__doc__)\n sys.exit(1)\n\n command = sys.argv[1]\n todos = load_todos()\n\n if command == \"add\":\n if len(sys.argv) < 3:\n print(\"Usage: python todo_list.py add \\\"task\\\"\")\n sys.exit(1)\n todos.append({\"text\": sys.argv[2], \"done\": False})\n save_todos(todos)\n print(f\"Added: {sys.argv[2]}\")\n elif command == \"list\":\n show(todos)\n elif command == \"done\":\n idx = int(sys.argv[2]) - 1\n if 0 <= idx < len(todos):\n todos[idx][\"done\"] = True\n save_todos(todos)\n print(f\"Marked done: {todos[idx]['text']}\")\n else:\n print(\"Invalid task number.\")\n elif command == \"remove\":\n idx = int(sys.argv[2]) - 1\n if 0 <= idx < len(todos):\n removed = todos.pop(idx)\n save_todos(todos)\n print(f\"Removed: {removed['text']}\")\n else:\n print(\"Invalid task number.\")\n else:\n print(f\"Unknown command: {command}\",\n file=sys.stderr)\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,235],"ac3c264e-d544-4278-8943-885f52a608ff","todo.py","f762c7d6-a546-11f1-99f5-1607ee4eb77e",16,["D",1788185964186],"#!/usr/bin/env python3\n\"\"\"A simple command-line todo list manager.\n\nData is persisted in a JSON file (default: todos.json).\n\nUsage:\n python todo.py add \"Buy milk\" # add a task\n python todo.py list # list all tasks\n python todo.py list --done # list only done tasks\n python todo.py done # mark a task done\n python todo.py remove # remove a task\n python todo.py clear # remove all tasks\n\"\"\"\n\nimport json\nimport os\nimport sys\n\nDB_FILE = os.path.join(os.path.dirname(os.path.abspath(__file__)), \"todos.json\")\n\n\ndef load_todos():\n \"\"\"Load the task list from disk.\"\"\"\n if not os.path.exists(DB_FILE):\n return []\n with open(DB_FILE, \"r\", encoding=\"utf-8\") as f:\n return json.load(f)\n\n\ndef save_todos(todos):\n \"\"\"Persist the task list to disk.\"\"\"\n with open(DB_FILE, \"w\", encoding=\"utf-8\") as f:\n json.dump(todos, f, indent=2)\n\n\ndef next_id(todos):\n \"\"\"Return the next available task id.\"\"\"\n return max((t[\"id\"] for t in todos), default=0) + 1\n\n\ndef add_task(todos, title):\n todos.append({\"id\": next_id(todos), \"title\": title, \"done\": False})\n save_todos(todos)\n print(f\"Added task: {title}\")\n\n\ndef list_tasks(todos, only_done=False):\n if not todos:\n print(\"No tasks yet. Add one with: python todo.py add \")\n return\n\n shown = [t for t in todos if t[\"done\"] == only_done] if only_done else todos\n if only_done and not shown:\n print(\"No completed tasks yet.\")\n return\n\n print(f\"{'ID':<4}{'Status':<8}Task\")\n print(\"-\" * 40)\n for t in shown:\n status = \"✓ done\" if t[\"done\"] else \"☐ todo\"\n print(f\"{t['id']:<4}{status:<8}{t['title']}\")\n\n\ndef mark_done(todos, task_id):\n for t in todos:\n if t[\"id\"] == task_id:\n t[\"done\"] = True\n save_todos(todos)\n print(f\"Marked task {task_id} as done.\")\n return\n print(f\"No task with id {task_id} found.\")\n\n\ndef remove_task(todos, task_id):\n for i, t in enumerate(todos):\n if t[\"id\"] == task_id:\n removed = todos.pop(i)\n save_todos(todos)\n print(f\"Removed task: {removed['title']}\")\n return\n print(f\"No task with id {task_id} found.\")\n\n\ndef clear_todos(todos):\n save_todos([])\n print(\"Cleared all tasks.\")\n\n\ndef main():\n if len(sys.argv) < 2:\n print(__doc__)\n sys.exit(1)\n\n command = sys.argv[1]\n todos = load_todos()\n\n if command == \"add\":\n if len(sys.argv) < 3 or not sys.argv[2].strip():\n print(\"Usage: python todo.py add \")\n sys.exit(1)\n add_task(todos, \" \".join(sys.argv[2:]))\n\n elif command == \"list\":\n only_done = \"--done\" in sys.argv[2:]\n list_tasks(todos, only_done=only_done)\n\n elif command == \"done\":\n if len(sys.argv) < 3:\n print(\"Usage: python todo.py done \")\n sys.exit(1)\n mark_done(todos, int(sys.argv[2]))\n\n elif command == \"remove\":\n if len(sys.argv) < 3:\n print(\"Usage: python todo.py remove \")\n sys.exit(1)\n remove_task(todos, int(sys.argv[2]))\n\n elif command == \"clear\":\n clear_todos(todos)\n\n else:\n print(f\"Unknown command: {command}\")\n print(__doc__)\n sys.exit(1)\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,243],"9221c1a8-1753-485f-8182-7704d93da4d2","quadratic.py","141a83a8-a53f-11f1-890b-1607ee4eb77e",["D",1788182576388],"#!/usr/bin/env python3\n\"\"\"Solve a quadratic equation: ax^2 + bx + c = 0.\n\nUsage:\n python quadratic.py # interactive prompts\n python quadratic.py 1 -3 2 # from command-line args\n\"\"\"\n\nimport cmath\nimport math\nimport sys\n\n\ndef solve_quadratic(a, b, c):\n \"\"\"Return the roots of ax^2 + bx + c = 0 as a tuple (x1, x2).\n\n Uses the quadratic formula: x = (-b ± sqrt(b^2 - 4ac)) / (2a)\n Supports real and complex roots.\n \"\"\"\n discriminant = b ** 2 - 4 * a * c\n\n # Compute sqrt of the discriminant (complex-safe).\n sqrt_disc = cmath.sqrt(discriminant)\n\n x1 = (-b + sqrt_disc) / (2 * a)\n x2 = (-b - sqrt_disc) / (2 * a)\n return x1, x2\n\n\ndef describe(discriminant):\n \"\"\"Return a human-readable description of the nature of the roots.\"\"\"\n if discriminant > 0:\n return \"two distinct real roots\"\n if discriminant == 0:\n return \"one repeated real root\"\n return \"two complex (conjugate) roots\"\n\n\ndef main():\n if len(sys.argv) == 4:\n try:\n a, b, c = (float(v) for v in sys.argv[1:4])\n except ValueError:\n print(\"Error: coefficients must be numbers.\", file=sys.stderr)\n sys.exit(1)\n else:\n try:\n a = float(input(\"Enter a: \"))\n b = float(input(\"Enter b: \"))\n c = float(input(\"Enter c: \"))\n except ValueError:\n print(\"Error: coefficients must be numbers.\", file=sys.stderr)\n sys.exit(1)\n\n if a == 0:\n print(\"Error: 'a' cannot be zero (that would be a linear equation).\",\n file=sys.stderr)\n sys.exit(1)\n\n discriminant = b ** 2 - 4 * a * c\n print(f\"\\nEquation: {a:g}x^2 + {b:g}x + {c:g} = 0\")\n print(f\"Discriminant (b^2 - 4ac) = {discriminant:g}\")\n print(f\"Roots: {describe(discriminant)}\")\n\n x1, x2 = solve_quadratic(a, b, c)\n print(f\"x1 = {x1}\")\n print(f\"x2 = {x2}\")\n\n # If roots are real, show their approximate decimal values too.\n if discriminant >= 0 and not isinstance(x1, complex):\n print(f\"Approximate: x1 = {x1:.6f}, x2 = {x2:.6f}\")\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,251],"cbed1a0b-c366-4789-8733-f6da709fae63","plot_graph.py","f7ca35e2-a546-11f1-a63f-1607ee4eb77e",17,["D",1788185964861],"#!/usr/bin/env python3\n\"\"\"Plot the graph of a mathematical equation using matplotlib.\n\nUsage:\n python plot_graph.py # interactive: enter 3 points\n python plot_graph.py \"x**2 - 3*x + 2\" # plot a single function by name\n python plot_graph.py \"sin(x)\" \"cos(x)\" # plot multiple functions\n\nThe equation is evaluated using Python's math module, so you can use\nfunctions like sin, cos, tan, exp, log, sqrt, pi, e, abs, etc.\n\"\"\"\n\nimport math\nimport sys\n\nimport matplotlib.pyplot as plt\nimport numpy as np\n\n\n# Expose functions from the math module so equation strings can call them.\nNS = {name: getattr(math, name) for name in dir(math) if not name.startswith(\"_\")}\nNS.update({\"abs\": abs, \"pi\": math.pi, \"e\": math.e})\n\n\ndef eval_function(expr, x):\n \"\"\"Evaluate a single-variable expression against a numpy x value.\"\"\"\n # numpy arrays work with math functions via np.vectorize; apply per-element.\n return np.vectorize(lambda v: eval(expr, {\"__builtins__\": {}}, {**NS, \"x\": v}))(x)\n\n\ndef parse_range():\n \"\"\"Read xmin, xmax, step from user input; defaults to -10..10.\"\"\"\n try:\n raw = input(\"Enter x-min, x-max, step (default: -10 10 0.1): \").strip()\n if not raw:\n return -10.0, 10.0, 0.1\n parts = [float(p) for p in raw.replace(\",\", \" \").split()]\n if len(parts) == 2:\n return parts[0], parts[1], 0.1\n if len(parts) == 3:\n return parts[0], parts[1], parts[2]\n raise ValueError\n except ValueError:\n print(\"Invalid input, using defaults -10 10 0.1.\")\n return -10.0, 10.0, 0.1\n\n\ndef plot_equations(exprs, variants, x_min, x_max, step):\n x = np.arange(x_min, x_max + step, step)\n\n for expr, variant in zip(exprs, variants):\n try:\n with np.errstate(all=\"ignore\"):\n y = eval_function(expr, x)\n except Exception as exc: # noqa: BLE001\n print(f\"Could not evaluate '{expr}': {exc}\")\n continue\n plt.plot(x, y, label=expr, **variant)\n\n # Axes/decoration.\n plt.axhline(0, color=\"black\", linewidth=1)\n plt.axvline(0, color=\"black\", linewidth=1)\n plt.xlabel(\"x\")\n plt.ylabel(\"y\")\n plt.title(\"Graph of equation(s)\")\n plt.legend()\n plt.grid(True)\n plt.tight_layout()\n\n plt.show() # interactive window (only works with a GUI backend installed)\n\n\ndef main():\n if len(sys.argv) >= 2:\n # Plot functions given as command-line arguments.\n exprs = sys.argv[1:]\n x_min, x_max, step = -10.0, 10.0, 0.1\n plot_equations(exprs, [{} for _ in exprs], x_min, x_max, step)\n return\n\n # Interactive mode.\n print(\n \"Enter one or more equations in terms of x, \"\n \"e.g. 'x**2 - 3*x + 2' or 'sin(x)'.\\n\"\n \"Type a blank line when done.\"\n )\n exprs = []\n while True:\n line = input(\"Equation (blank to plot): \").strip()\n if not line:\n break\n exprs.append(line)\n\n if not exprs:\n exprs = [\"x**2 - 3*x + 2\"]\n\n x_min, x_max, step = parse_range()\n plot_equations(exprs, [{} for _ in exprs], x_min, x_max, step)\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,258],"ccd052e9-5025-49bd-b748-62057e252204","multiplication_table.py","f555e522-a546-11f1-b171-1607ee4eb77e",15,["D",1788185960735],"#!/usr/bin/env python3\n\"\"\"Print a multiplication table up to a given size.\n\nUsage:\n python multiplication_table.py # 12x12 table\n python multiplication_table.py 10 # 10x10 table\n python multiplication_table.py 5 5 # 5x5 table\n\"\"\"\n\nimport sys\n\n\ndef multiplication_table(rows, cols):\n \"\"\"Return a list of rows, each row a list of ints (the table grid).\"\"\"\n return [[i * j for j in range(1, cols + 1)] for i in range(1, rows + 1)]\n\n\ndef render_table(rows, cols):\n \"\"\"Build and return a nicely aligned table as a string.\"\"\"\n table = multiplication_table(rows, cols)\n\n # The largest number is rows * cols, so we know how wide each column is.\n cell_width = len(str(rows * cols))\n lines = []\n\n for i, row in enumerate(table, start=1):\n line = f\"{i:>{cell_width}} | \" + \" \".join(\n f\"{value:>{cell_width}}\" for value in row\n )\n lines.append(line)\n\n return \"\\n\".join(lines)\n\n\ndef main():\n args = [int(v) for v in sys.argv[1:3]] if len(sys.argv) > 1 else []\n\n if len(args) == 1:\n rows = cols = args[0]\n elif len(args) == 2:\n rows, cols = args\n else:\n try:\n rows = int(input(\"Rows (default 12): \") or 12)\n cols = int(input(\"Columns (default 12): \") or 12)\n except ValueError:\n print(\"Error: please enter whole numbers.\", file=sys.stderr)\n sys.exit(1)\n\n print(f\"\\nMultiplication table {rows}x{cols}:\\n\")\n print(render_table(rows, cols))\n print()\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,266],"30b8b3ae-8737-4d00-b04c-9852cae597a8","fibonacci.py","f4b7bb54-a546-11f1-830a-1607ee4eb77e",14,["D",1788185959696],"#!/usr/bin/env python3\n\"\"\"Generate a Fibonacci series.\n\nUsage:\n python fibonacci.py # first 10 terms\n python fibonacci.py 15 # first 15 terms\n python fibonacci.py 20 1 1 # n terms starting with (p1, p2)\n\"\"\"\n\nimport sys\n\n\ndef fibonacci(n, first=0, second=1):\n \"\"\"Return a list of the first `n` Fibonacci terms starting with the\n given seed values.\"\"\"\n if n <= 0:\n return []\n\n series = [first, second]\n for _ in range(n - 2):\n series.append(series[-1] + series[-2])\n return series[:n]\n\n\ndef fibonacci_gen(first=0, second=1):\n \"\"\"Yield Fibonacci numbers one at a time (lazy generator).\"\"\"\n a, b = first, second\n while True:\n yield a\n a, b = b, a + b\n\n\ndef main():\n # Parse arguments: optional n and optional seed values.\n n = 10 # default number of terms\n p1, p2 = 0, 1 # default seed values\n\n try:\n if len(sys.argv) >= 2:\n n = int(sys.argv[1])\n if len(sys.argv) == 4:\n p1, p2 = int(sys.argv[2]), int(sys.argv[3])\n except ValueError:\n print(\"Error: arguments must be integers.\", file=sys.stderr)\n sys.exit(1)\n\n if n <= 0:\n print(\"Error: n must be greater than 0.\", file=sys.stderr)\n sys.exit(1)\n\n print(f\"First {n} terms of the Fibonacci series ({p1}, {p2}):\")\n print(\", \".join(str(x) for x in fibonacci(n, p1, p2)))\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,274],"2220c847-6018-46dc-9ae4-c0184134e169","drawing_canvas.py","f92c071c-a546-11f1-99f5-1607ee4eb77e",18,["D",1788185967184],"#!/usr/bin/env python3\n\"\"\"Interactive drawing canvas using Tkinter.\n\nFeatures:\n - Left-drag to freehand draw\n - Color palette + brush size selector\n - Eraser mode (right-drag or toggle button)\n - Clear canvas\n - Save artwork as a PNG file\n\nUsage:\n python canvas.py\n\"\"\"\n\nimport tkinter as tk\nfrom tkinter import colorchooser, filedialog, messagebox\n\n# ------------------------------------------------------------------\n# Configuration\n# ------------------------------------------------------------------\nCANVAS_W, CANVAS_H = 800, 600\nBG_COLOR = \"white\"\nDEFAULT_PEN = \"black\"\n\nPALETTE = [\n \"#000000\", \"#ffffff\", \"#e74c3c\", \"#e67e22\", \"#f1c40f\",\n \"#2ecc71\", \"#3498db\", \"#9b59b6\", \"#ecf0f1\", \"#95a5a6\",\n]\n\n\nclass DrawingApp:\n def __init__(self, root):\n self.root = root\n self.root.title(\"Drawing Canvas\")\n\n self.color = DEFAULT_PEN\n self.brush_size = 4\n self.eraser = False\n\n self._build_toolbar()\n self._build_canvas()\n\n # Bind mouse events for drawing.\n self.canvas.bind(\"\", self.start_stroke)\n self.canvas.bind(\"\", self.draw)\n self.canvas.bind(\"\", self.end_stroke)\n\n # ------------------------------------------------------------------\n # UI construction\n # ------------------------------------------------------------------\n def _build_toolbar(self):\n toolbar = tk.Frame(self.root)\n toolbar.pack(side=tk.TOP, fill=tk.X, padx=4, pady=4)\n\n # Color swatches.\n for hex_color in PALETTE:\n swatch = tk.Button(\n toolbar,\n bg=hex_color,\n width=2,\n height=1,\n command=lambda c=hex_color: self.pick_color(c),\n )\n swatch.pack(side=tk.LEFT, padx=1)\n\n # Custom color picker.\n tk.Button(toolbar, text=\"…\", command=self.pick_custom_color).pack(\n side=tk.LEFT, padx=3\n )\n\n # Brush size scale.\n tk.Label(toolbar, text=\"Size:\").pack(side=tk.LEFT, padx=(12, 2))\n self.size_scale = tk.Scale(\n toolbar, from_=1, to=30, orient=tk.HORIZONTAL,\n command=self.set_size, length=120,\n )\n self.size_scale.set(self.brush_size)\n self.size_scale.pack(side=tk.LEFT)\n\n # Tool buttons.\n self.eraser_btn = tk.Button(\n toolbar, text=\"Eraser\", command=self.toggle_eraser\n )\n self.eraser_btn.pack(side=tk.LEFT, padx=8)\n\n tk.Button(toolbar, text=\"Clear\", command=self.clear_canvas).pack(\n side=tk.LEFT, padx=2\n )\n tk.Button(toolbar, text=\"Save PNG\", command=self.save_png).pack(\n side=tk.LEFT, padx=2\n )\n\n def _build_canvas(self):\n canvas_frame = tk.Frame(self.root)\n canvas_frame.pack(fill=tk.BOTH, expand=True, padx=4, pady=(0, 4))\n\n self.canvas = tk.Canvas(\n canvas_frame,\n width=CANVAS_W,\n height=CANVAS_H,\n bg=BG_COLOR,\n cursor=\"crosshair\",\n highlightthickness=1,\n highlightbackground=\"#b0b0b0\",\n )\n self.canvas.pack(fill=tk.BOTH, expand=True)\n\n # ------------------------------------------------------------------\n # Behavior\n # ------------------------------------------------------------------\n def pick_color(self, hex_color):\n self.color = hex_color\n self.eraser = False\n self.eraser_btn.config(relief=tk.RAISED)\n\n def pick_custom_color(self):\n chosen = colorchooser.askcolor(color=self.color)[1]\n if chosen:\n self.pick_color(chosen)\n\n def set_size(self, value):\n self.brush_size = int(value)\n\n def toggle_eraser(self):\n self.eraser = not self.eraser\n relief = tk.SUNKEN if self.eraser else tk.RAISED\n self.eraser_btn.config(relief=relief)\n\n def clear_canvas(self):\n if messagebox.askyesno(\"Clear\", \"Clear the whole canvas?\"):\n self.canvas.delete(\"all\")\n\n # ------------------------------------------------------------------\n # Drawing logic\n # ------------------------------------------------------------------\n def start_stroke(self, event):\n self.last_x, self.last_y = event.x, event.y\n\n def draw(self, event):\n color = BG_COLOR if self.eraser else self.color\n x, y = event.x, event.y\n # Line segments between the previous and current mouse position,\n # so fast strokes produce continuous smooth lines instead of dots.\n self.canvas.create_line(\n self.last_x, self.last_y, x, y,\n fill=color,\n width=self.brush_size,\n capstyle=tk.ROUND,\n smooth=True,\n )\n self.last_x, self.last_y = x, y\n\n def end_stroke(self, event):\n self.last_x, self.last_y = None, None\n\n # ------------------------------------------------------------------\n # Saving\n # ------------------------------------------------------------------\n def save_png(self):\n path = filedialog.asksaveasfilename(\n defaultextension=\".png\",\n filetypes=[(\"PNG image\", \"*.png\")],\n )\n if not path:\n return\n try:\n self.canvas.postscript(file=\"/tmp/canvas.ps\", colormode=\"color\")\n # Tkinter cannot export PNG directly, so we hand the PostScript\n # off to Ghostscript. If you do not have Ghostscript installed,\n # the drawing is still saved as the .ps file.\n self._convert_ps_to_png(\"/tmp/canvas.ps\", path)\n except Exception as exc: # noqa: BLE001\n messagebox.showerror(\"Save\", f\"Could not save:\\n{exc}\")\n else:\n messagebox.showinfo(\n \"Save\", \"Saved! (falls back to .ps if Ghostscript is absent)\"\n )\n\n @staticmethod\n def _convert_ps_to_png(ps_path, png_path):\n import subprocess\n subprocess.run(\n [\"gs\", \"-dNOPAUSE\", \"-dBATCH\", \"-sDEVICE=png16m\",\n f\"-sOutputFile={png_path}\", ps_path],\n check=True,\n )\n\n\nif __name__ == \"__main__\":\n root = tk.Tk()\n DrawingApp(root)\n root.mainloop()\n",[],[184,282],"388efb0b-248c-43ce-8362-41cba36f9b7b","draw_canvas.py","ff8371ea-a546-11f1-9817-1607ee4eb77e",21,["D",1788185977809],"#!/usr/bin/env python3\n\"\"\"Interactive drawing canvas using Pygame.\n\nMove the mouse with the LEFT button held to draw freehand lines.\nRight-click (or press C) to clear the canvas.\nPress ESC or close the window to quit.\n\nRequires: pip install pygame\nUsage: python canvas.py [width] [height]\n\"\"\"\n\nimport sys\n\nimport pygame\n\nDEFAULT_WIDTH = 800\nDEFAULT_HEIGHT = 600\nBG_COLOR = (255, 255, 255)\nINK_COLOR = (20, 20, 20)\nLINE_WIDTH = 4\n\n\ndef main():\n width = int(sys.argv[1]) if len(sys.argv) > 1 else DEFAULT_WIDTH\n height = int(sys.argv[2]) if len(sys.argv) > 2 else DEFAULT_HEIGHT\n\n pygame.init()\n screen = pygame.display.set_mode((width, height))\n pygame.display.set_caption(\"Drawing Canvas — hold left mouse to draw\")\n screen.fill(BG_COLOR)\n pygame.display.flip()\n\n drawing = False\n last_pos = None\n clock = pygame.time.Clock()\n\n running = True\n while running:\n for event in pygame.event.get():\n if event.type == pygame.QUIT:\n running = False\n elif event.type == pygame.KEYDOWN:\n if event.key == pygame.K_ESCAPE:\n running = False\n elif event.key == pygame.K_c:\n screen.fill(BG_COLOR)\n pygame.display.flip()\n elif event.type == pygame.MOUSEBUTTONDOWN:\n if event.button == 1: # left button\n drawing = True\n last_pos = event.pos\n elif event.button == 3: # right button: clear\n screen.fill(BG_COLOR)\n pygame.display.flip()\n elif event.type == pygame.MOUSEBUTTONUP:\n if event.button == 1:\n drawing = False\n last_pos = None\n elif event.type == pygame.MOUSEMOTION and drawing:\n if last_pos is not None:\n pygame.draw.line(screen, INK_COLOR, last_pos, event.pos,\n LINE_WIDTH)\n last_pos = event.pos\n pygame.display.update()\n\n clock.tick(60)\n\n pygame.quit()\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,290],"2639526a-150d-41b6-894e-03a8e437bdd6","dfs.py","ff91fb52-a546-11f1-9817-1607ee4eb77e",22,["D",1788185977911],"#!/usr/bin/env python3\n\"\"\"Perform a Depth-First Search (DFS) on a graph.\n\nThe graph is defined as an adjacency list passed in from the command line:\n python3 dfs.py 0:1,2 1:0,3 2:0 3:1\n\nEach entry is node:comma-separated-neighbors.\nThe example above defines:\n 0 -> 1, 2\n 1 -> 0, 3\n 2 -> 0\n 3 -> 1\n\nOutput: the DFS traversal order starting from the first node,\nplus a re-usable dfs function you can import.\n\"\"\"\n\nimport sys\nfrom collections import defaultdict\n\n\ndef dfs_iterative(graph, start):\n \"\"\"Return nodes reachable from `start` in DFS pre-order (iterative).\"\"\"\n visited = []\n seen = set()\n stack = [start]\n\n while stack:\n node = stack.pop()\n if node in seen:\n continue\n seen.add(node)\n visited.append(node)\n # Push neighbors reversed so they pop in the original order.\n for neighbor in reversed(graph.get(node, [])):\n if neighbor not in seen:\n stack.append(neighbor)\n\n return visited\n\n\ndef dfs_recursive(graph, node, visited=None):\n \"\"\"Return nodes reachable from `node` in DFS pre-order (recursive).\"\"\"\n if visited is None:\n visited = []\n visited.append(node)\n for neighbor in graph.get(node, []):\n if neighbor not in visited:\n dfs_recursive(graph, neighbor, visited)\n return visited\n\n\ndef parse_graph(raw_entries):\n \"\"\"Convert 'node:a,b node:c,d' into an adjacency dict {node: [neighbors]}.\"\"\"\n graph = defaultdict(list)\n for entry in raw_entries:\n if \":\" not in entry:\n print(f\"Error: '{entry}' should look like 'node:neighbor1,neighbor2'\",\n file=sys.stderr)\n sys.exit(1)\n node, neighbors = entry.split(\":\", 1)\n graph[node] = [n for n in neighbors.split(\",\") if n]\n return dict(graph)\n\n\ndef main():\n if len(sys.argv) < 2:\n print(__doc__, file=sys.stderr)\n sys.exit(1)\n\n graph = parse_graph(sys.argv[1:])\n start = sys.argv[1].split(\":\")[0] # first node\n\n print(f\"Graph: {graph}\")\n print(f\"DFS from node {start!r} (iterative): \" +\n \" -> \".join(dfs_iterative(graph, start)))\n print(f\"DFS from node {start!r} (recursive): \" +\n \" -> \".join(dfs_recursive(graph, start)))\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,298],"e30204aa-9c1a-449b-b00f-1b7318e580cf",["D",1788185983678],[],[184,38],"5d018d01-74a8-4571-bc16-17fa2e7b859d","canvas_drawing.py","fb437cc4-a546-11f1-980b-1607ee4eb77e",20,["D",1788185970686],"#!/usr/bin/env python3\n\"\"\"Draw on a canvas — create PNG images with simple drawing primitives.\n\nRequires: pip install pillow\n\nCreates a canvas and draws a few example shapes, saving the result to a PNG.\n\nUsage:\n python canvas_drawing.py\n\"\"\"\n\nfrom PIL import Image, ImageDraw\n\nWIDTH, HEIGHT = 800, 600\n\n\ndef draw_example():\n # Create an RGB canvas (white background).\n canvas = Image.new(\"RGB\", (WIDTH, HEIGHT), \"white\")\n draw = ImageDraw.Draw(canvas)\n\n # Draw shapes.\n draw.rectangle([50, 50, 250, 200], outline=\"blue\", width=4)\n draw.ellipse([300, 50, 500, 200], fill=\"yellow\", outline=\"orange\", width=3)\n draw.line([50, 300, 750, 500], fill=\"red\", width=5)\n draw.polygon([(400, 300), (300, 470), (500, 470)], fill=\"purple\")\n\n return canvas\n\n\ndef main():\n canvas = draw_example()\n output = \"canvas_output.png\"\n canvas.save(output)\n print(f\"Saved drawing to {output} ({WIDTH}x{HEIGHT}px)\")\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,310],"b9e37287-03b7-4b38-9f90-ba2dd81711aa","breadth_first_search.py","00ae4202-a547-11f1-90d4-1607ee4eb77e",23,["D",1788185979778],"#!/usr/bin/env python3\n\"\"\"Breadth-first search (BFS) on a graph.\n\nExplores a graph level-by-level from a start node, finding the shortest path\n(in terms of number of edges) to a target. Works for both directed and\nundirected graphs (only relies on adjacency lists).\n\nGraph format: adjacency dict mapping node -> list of neighbor nodes.\n\nExample graph (undirected):\n A -- B -- C\n | |\n D -- E -- F\n\"\"\"\n\nfrom collections import deque\n\nGRAPH = {\n \"A\": [\"B\", \"D\"],\n \"B\": [\"A\", \"C\"],\n \"C\": [\"B\", \"F\"],\n \"D\": [\"A\", \"E\"],\n \"E\": [\"D\", \"F\"],\n \"F\": [\"C\", \"E\"],\n}\n\n\ndef bfs(graph, start, target):\n \"\"\"Return the shortest path from start to target, or None if unreachable.\"\"\"\n visited = {start}\n queue = deque([(start, [start])]) # each entry: (node, path_so_far)\n\n while queue:\n node, path = queue.popleft()\n if node == target:\n return path\n for neighbor in graph.get(node, []):\n if neighbor not in visited:\n visited.add(neighbor)\n queue.append((neighbor, path + [neighbor]))\n return None\n\n\ndef bfs_level_order(graph, start):\n \"\"\"Return nodes visited in BFS order (levels), for traversal purposes.\"\"\"\n visited = {start}\n queue = deque([start])\n order = []\n while queue:\n node = queue.popleft()\n order.append(node)\n for neighbor in graph.get(node, []):\n if neighbor not in visited:\n visited.add(neighbor)\n queue.append(neighbor)\n return order\n\n\ndef main():\n print(\"Graph adjacency:\", GRAPH)\n print(\"\\nBFS traversal from A:\", bfs_level_order(GRAPH, \"A\"))\n print(\"\\nShortest paths from A:\")\n for node in [\"B\", \"C\", \"D\", \"E\", \"F\"]:\n path = bfs(GRAPH, \"A\", node)\n print(f\" A -> {node}: {' -> '.join(path) if path else 'UNREACHABLE'}\")\n\n\nif __name__ == \"__main__\":\n main()\n",[],[184,318],["D",1788182576388],[201,202,203,204,205,206,207,208,209,210,211,212],[184],["D",1788008896829],["D",1789484509295],{"_104":103,"_112":108},{"_104":103,"_105":106,"_107":108,"_19":-5,"_109":110,"_111":30},{"_13":93,"_37":94,"_47":46,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"ctx",{"_86":-5,"_132":366,"_367":368,"_369":370,"_371":30,"_372":30,"_373":30,"_374":63,"_375":-5,"_376":-7,"_377":-7,"_378":148,"_379":30,"_380":30,"_381":-5,"_382":30,"_383":30,"_384":30,"_385":-5},"ENV",{"_337":338,"_339":340,"_341":94,"_342":343,"_344":345,"_346":347,"_348":349,"_350":351,"_352":353,"_354":355,"_356":357,"_358":359,"_360":361,"_362":363,"_364":365},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v24