{"version":3,"file":"arangodb.cjs","names":["#opts","#db","#aql","#ensure","#dims","#indexed","#ensureVectorIndex","#parseMeta","#project"],"sources":["../../../src/batteries/vector/arangodb/index.ts"],"sourcesContent":["/**\n * @module @nhtio/adk/batteries/vector/arangodb\n *\n * ArangoDB adapter (experimental vector index, 3.12.4+). Each collection is an ArangoDB\n * document collection keyed by `_key`; a `vector` index on `vec` enables KNN via\n * `APPROX_NEAR_COSINE` / `APPROX_NEAR_L2`. Metadata is a JSON string attribute filtered with\n * the neutral filter tree's JS reference evaluator for exact cross-adapter parity.\n *\n * Driver: `arangojs` (pure JS). Requires the server started with\n * `--experimental-vector-index=true`. All values are passed as AQL bind parameters.\n */\n\nimport { evaluateFilter } from '../filters'\nimport { BaseVectorStore } from '../contract'\nimport { validateRecords } from '../validation'\nimport { isInstanceOf } from '@nhtio/adk/guards'\nimport {\n  E_VECTOR_STORE_DRIVER_UNAVAILABLE,\n  E_VECTOR_STORE_CONNECTION_FAILED,\n  E_VECTOR_STORE_COLLECTION_FAILED,\n  E_VECTOR_STORE_UPSERT_FAILED,\n  E_VECTOR_STORE_SEARCH_FAILED,\n  E_VECTOR_STORE_DELETE_FAILED,\n  E_VECTOR_STORE_DIMENSION_MISMATCH,\n  E_VECTOR_STORE_UNSUPPORTED_OPERATION,\n} from '../exceptions'\nimport type { SearchPlan, UpsertPlan, DeletePlan, CollectionSpec } from '../plan'\nimport type {\n  VectorMatch,\n  VectorStoreCapabilities,\n  BaseVectorStoreOptions,\n  VectorMetadata,\n} from '../types'\n\nexport interface ArangoDBVectorStoreOptions extends BaseVectorStoreOptions {\n  /** Connection and authentication parameters for the backend. */\n  connection: {\n    url: string\n    username?: string\n    password?: string\n    database?: string\n    nLists?: number\n  }\n}\n\nconst getArango = async () => {\n  try {\n    const mod = await import('arangojs')\n    return mod\n  } catch {\n    throw new E_VECTOR_STORE_DRIVER_UNAVAILABLE(['arangojs'])\n  }\n}\n\nexport class ArangoDBVectorStore extends BaseVectorStore {\n  readonly capabilities: VectorStoreCapabilities = {\n    transactions: false,\n    namedVectors: false,\n    rename: false,\n    rawSql: false,\n    builtInEncoding: false,\n    // Document writes are synchronous (visible on resolve). The option is a no-op.\n    consistency: { configurable: false, default: 'strong', modes: ['strong'] },\n  }\n\n  #db: any | null = null\n  #aql: any | null = null\n  #dims: Map<string, number> = new Map()\n  // ArangoDB's IVF vector index can't be created on an empty collection (\"not ready\") and\n  // needs nLists <= doc count. We therefore create the index lazily after the first upsert.\n  #indexed: Set<string> = new Set()\n\n  get #opts(): ArangoDBVectorStoreOptions {\n    return this.options as ArangoDBVectorStoreOptions\n  }\n\n  /** Static availability probe: whether this adapter's runtime driver can load in the current environment. */\n  static isAvailable(): boolean {\n    return typeof process !== 'undefined'\n  }\n  isAvailable(): boolean {\n    return typeof process !== 'undefined'\n  }\n\n  async connect(): Promise<void> {\n    if (this.#db) return\n    const arango = await getArango()\n    this.#aql = arango.aql\n    const c = this.#opts.connection\n    const dbName = c.database ?? 'vector'\n    try {\n      const auth = c.username ? { username: c.username, password: c.password ?? '' } : undefined\n      const sys = new arango.Database({ url: c.url, auth })\n      const exists = await sys.listDatabases().then((dbs: string[]) => dbs.includes(dbName))\n      if (!exists) {\n        await sys.createDatabase(dbName)\n      }\n      this.#db = new arango.Database({ url: c.url, databaseName: dbName, auth })\n    } catch (err) {\n      throw new E_VECTOR_STORE_CONNECTION_FAILED([String(err)])\n    }\n  }\n\n  async close(): Promise<void> {\n    this.#db = null\n    this.#aql = null\n  }\n\n  async #ensure(): Promise<any> {\n    if (!this.#db) await this.connect()\n    return this.#db!\n  }\n\n  async createCollection(spec: CollectionSpec, ifNotExists: boolean): Promise<void> {\n    const db = await this.#ensure()\n    this.#dims.set(spec.collection, spec.vector.dimensions)\n    try {\n      const col = db.collection(spec.collection)\n      const exists = await col.exists()\n      if (exists && !ifNotExists) {\n        await col.drop()\n        this.#indexed.delete(spec.collection)\n      }\n      if (!(await col.exists())) {\n        await col.create()\n        this.#indexed.delete(spec.collection)\n      }\n      // The vector index is created lazily on first upsert (see #ensureVectorIndex): ArangoDB\n      // rejects creating it on an empty collection (\"vector index not ready\").\n    } catch (err) {\n      throw new E_VECTOR_STORE_COLLECTION_FAILED(['createCollection', String(err)])\n    }\n  }\n\n  // Create the IVF vector index once the collection has data (idempotent per collection).\n  async #ensureVectorIndex(collection: string): Promise<void> {\n    if (this.#indexed.has(collection)) return\n    const db = await this.#ensure()\n    const col = db.collection(collection)\n    const metric = this.#opts.metric ?? 'cosine'\n    const dim = this.#dims.get(collection) ?? this.#opts.dimensions\n    if (dim === undefined) return\n    try {\n      await col.ensureIndex({\n        type: 'vector',\n        fields: ['vec'],\n        params: {\n          metric: metric === 'euclidean' ? 'l2' : 'cosine',\n          dimension: dim,\n          nLists: this.#opts.connection.nLists ?? 1,\n        },\n      })\n      this.#indexed.add(collection)\n    } catch {\n      // If it still isn't ready (too few docs), leave it; executeSearch falls back to a\n      // brute-force AQL scan so correctness holds regardless of the index.\n    }\n  }\n\n  async dropCollection(collection: string, ifExists: boolean): Promise<void> {\n    const db = await this.#ensure()\n    try {\n      const col = db.collection(collection)\n      if (await col.exists()) {\n        await col.drop()\n      } else if (!ifExists) {\n        throw new Error('collection not found: ' + collection)\n      }\n      this.#dims.delete(collection)\n    } catch (err) {\n      throw new E_VECTOR_STORE_COLLECTION_FAILED(['dropCollection', String(err)])\n    }\n  }\n\n  async hasCollection(collection: string): Promise<boolean> {\n    const db = await this.#ensure()\n    try {\n      return await db.collection(collection).exists()\n    } catch {\n      return false\n    }\n  }\n\n  async renameCollection(_from: string, _to: string): Promise<void> {\n    throw new E_VECTOR_STORE_UNSUPPORTED_OPERATION(['renameCollection', 'arangodb'])\n  }\n\n  async executeUpsert(plan: UpsertPlan): Promise<void> {\n    if (plan.records.length === 0) return\n    validateRecords(plan.records)\n    const db = await this.#ensure()\n    const expected = this.#opts.dimensions ?? this.#dims.get(plan.collection)\n    try {\n      const col = db.collection(plan.collection)\n      for (const r of plan.records) {\n        let vector = r.vector\n        if (!vector && r.document) {\n          const [v] = await this.encode([r.document], 'document')\n          vector = v\n        }\n        if (!vector) {\n          throw new E_VECTOR_STORE_UPSERT_FAILED(['Record missing vector and document'])\n        }\n        if (expected !== undefined && vector.length !== expected) {\n          throw new E_VECTOR_STORE_DIMENSION_MISMATCH([expected, vector.length])\n        }\n        const doc = {\n          _key: r.id,\n          vec: vector,\n          document: r.document ?? '',\n          metadata: r.metadata ? JSON.stringify(r.metadata) : '{}',\n        }\n        await col.save(doc, { overwriteMode: 'replace' })\n      }\n      // Now that the collection has data, ensure the IVF vector index exists.\n      await this.#ensureVectorIndex(plan.collection)\n    } catch (err) {\n      if (\n        isInstanceOf(err, 'E_VECTOR_STORE_DIMENSION_MISMATCH', E_VECTOR_STORE_DIMENSION_MISMATCH) ||\n        isInstanceOf(err, 'E_VECTOR_STORE_UPSERT_FAILED', E_VECTOR_STORE_UPSERT_FAILED)\n      ) {\n        throw err\n      }\n      throw new E_VECTOR_STORE_UPSERT_FAILED([String(err)])\n    }\n  }\n\n  async executeSearch(plan: SearchPlan): Promise<VectorMatch[]> {\n    const db = await this.#ensure()\n    const aql = this.#aql\n    const metric = this.#opts.metric ?? 'cosine'\n    let queryVector: number[] | undefined\n    if (plan.near) {\n      if ('vector' in plan.near) {\n        queryVector = plan.near.vector\n      } else if ('serverText' in plan.near) {\n        const [v] = await this.encode([plan.near.serverText], 'query')\n        queryVector = v\n      } else if ('id' in plan.near) {\n        const col = db.collection(plan.collection)\n        try {\n          const doc = await col.document(plan.near.id)\n          queryVector = doc.vec as number[]\n        } catch {\n          throw new E_VECTOR_STORE_SEARCH_FAILED(['Referenced id not found: ' + plan.near.id])\n        }\n      }\n    }\n\n    const offset = plan.offset ?? 0\n    try {\n      let rows: any[]\n      if (queryVector) {\n        // Use the exact AQL distance functions (COSINE_SIMILARITY / L2_DISTANCE) rather than the\n        // APPROX_NEAR_* index functions: they need no index, are always correct, and avoid\n        // ArangoDB's IVF \"not ready\" / nLists-vs-doc-count constraints. The IVF index is still\n        // created lazily on upsert for production-scale ANN; here correctness comes first.\n        const useL2 = metric === 'euclidean'\n        const fn = useL2 ? 'L2_DISTANCE' : 'COSINE_SIMILARITY'\n        const dir = useL2 ? 'ASC' : 'DESC'\n        const k = plan.filter ? 100000 : plan.topK + offset\n        const query =\n          `FOR d IN @@col ` +\n          `LET __score = ${fn}(d.vec, @qv) ` +\n          `SORT __score ${dir} LIMIT @k ` +\n          `RETURN { id: d._key, vec: d.vec, document: d.document, metadata: d.metadata, score: __score }`\n        const cursor = await db.query(query, {\n          '@col': plan.collection,\n          'qv': queryVector,\n          k,\n        })\n        rows = await cursor.all()\n        const filtered = plan.filter\n          ? rows.filter((row) => evaluateFilter(plan.filter!, this.#parseMeta(row.metadata)))\n          : rows\n        return filtered\n          .slice(offset, offset + plan.topK)\n          .map((row) => this.#project(row, plan, true))\n      } else {\n        const cursor = await db.query(\n          aql`FOR d IN ${db.collection(plan.collection)} RETURN { id: d._key, vec: d.vec, document: d.document, metadata: d.metadata }`\n        )\n        rows = await cursor.all()\n        const filtered = plan.filter\n          ? rows.filter((row) => evaluateFilter(plan.filter!, this.#parseMeta(row.metadata)))\n          : rows\n        return filtered\n          .slice(offset, offset + plan.topK)\n          .map((row) => this.#project(row, plan, false))\n      }\n    } catch (err) {\n      throw new E_VECTOR_STORE_SEARCH_FAILED([String(err)])\n    }\n  }\n\n  #parseMeta(val: unknown): VectorMetadata {\n    if (typeof val === 'string') {\n      try {\n        return JSON.parse(val) as VectorMetadata\n      } catch {\n        return {}\n      }\n    }\n    if (val && typeof val === 'object') return val as VectorMetadata\n    return {}\n  }\n\n  #project(row: any, plan: SearchPlan, isKnn: boolean): VectorMatch {\n    const proj = plan.projection\n    const out: VectorMatch = {}\n    if (proj.id) out.id = row.id as string\n    if (proj.vector && Array.isArray(row.vec)) out.vector = (row.vec as number[]).map(Number)\n    if (proj.document) out.document = (row.document ?? undefined) as string | undefined\n    if (proj.metadata) out.metadata = this.#parseMeta(row.metadata)\n    if (isKnn && row.score !== undefined && row.score !== null) {\n      // APPROX_NEAR_COSINE returns cosine similarity in [0,1]; L2 returns a distance.\n      const m = this.#opts.metric ?? 'cosine'\n      out.score = m === 'euclidean' ? 1 / (1 + Number(row.score)) : Number(row.score)\n    }\n    return out\n  }\n\n  async executeDelete(plan: DeletePlan): Promise<void> {\n    const db = await this.#ensure()\n    const aql = this.#aql\n    try {\n      const col = db.collection(plan.collection)\n      if (plan.ids && plan.ids.length > 0) {\n        await col.removeAll(plan.ids).catch(async () => {\n          for (const id of plan.ids!) await col.remove(id).catch(() => undefined)\n        })\n      } else if (plan.filter) {\n        const cursor = await db.query(\n          aql`FOR d IN ${col} RETURN { id: d._key, metadata: d.metadata }`\n        )\n        const rows = await cursor.all()\n        const targets = rows\n          .filter((row: any) => evaluateFilter(plan.filter!, this.#parseMeta(row.metadata)))\n          .map((row: any) => row.id as string)\n        if (targets.length > 0) {\n          await col.removeAll(targets).catch(async () => {\n            for (const id of targets) await col.remove(id).catch(() => undefined)\n          })\n        }\n      } else {\n        await col.truncate()\n      }\n    } catch (err) {\n      throw new E_VECTOR_STORE_DELETE_FAILED([String(err)])\n    }\n  }\n}\n"],"mappings":";;;;;;;;;;;;;;;;;;;;AA6CA,IAAM,YAAY,YAAY;CAC5B,IAAI;EAEF,OAAO,MADW,OAAO;CAE3B,QAAQ;EACN,MAAM,IAAI,oCAAA,kCAAkC,CAAC,UAAU,CAAC;CAC1D;AACF;AAEA,IAAa,sBAAb,cAAyC,kCAAA,gBAAgB;CACvD,eAAiD;EAC/C,cAAc;EACd,cAAc;EACd,QAAQ;EACR,QAAQ;EACR,iBAAiB;EAEjB,aAAa;GAAE,cAAc;GAAO,SAAS;GAAU,OAAO,CAAC,QAAQ;EAAE;CAC3E;CAEA,MAAkB;CAClB,OAAmB;CACnB,wBAA6B,IAAI,IAAI;CAGrC,2BAAwB,IAAI,IAAI;CAEhC,IAAIA,QAAoC;EACtC,OAAO,KAAK;CACd;;CAGA,OAAO,cAAuB;EAC5B,OAAO,OAAO,YAAY;CAC5B;CACA,cAAuB;EACrB,OAAO,OAAO,YAAY;CAC5B;CAEA,MAAM,UAAyB;EAC7B,IAAI,KAAKC,KAAK;EACd,MAAM,SAAS,MAAM,UAAU;EAC/B,KAAKC,OAAO,OAAO;EACnB,MAAM,IAAI,KAAKF,MAAM;EACrB,MAAM,SAAS,EAAE,YAAY;EAC7B,IAAI;GACF,MAAM,OAAO,EAAE,WAAW;IAAE,UAAU,EAAE;IAAU,UAAU,EAAE,YAAY;GAAG,IAAI,KAAA;GACjF,MAAM,MAAM,IAAI,OAAO,SAAS;IAAE,KAAK,EAAE;IAAK;GAAK,CAAC;GAEpD,IAAI,CAAC,MADgB,IAAI,cAAc,EAAE,MAAM,QAAkB,IAAI,SAAS,MAAM,CAAC,GAEnF,MAAM,IAAI,eAAe,MAAM;GAEjC,KAAKC,MAAM,IAAI,OAAO,SAAS;IAAE,KAAK,EAAE;IAAK,cAAc;IAAQ;GAAK,CAAC;EAC3E,SAAS,KAAK;GACZ,MAAM,IAAI,oCAAA,iCAAiC,CAAC,OAAO,GAAG,CAAC,CAAC;EAC1D;CACF;CAEA,MAAM,QAAuB;EAC3B,KAAKA,MAAM;EACX,KAAKC,OAAO;CACd;CAEA,MAAMC,UAAwB;EAC5B,IAAI,CAAC,KAAKF,KAAK,MAAM,KAAK,QAAQ;EAClC,OAAO,KAAKA;CACd;CAEA,MAAM,iBAAiB,MAAsB,aAAqC;EAChF,MAAM,KAAK,MAAM,KAAKE,QAAQ;EAC9B,KAAKC,MAAM,IAAI,KAAK,YAAY,KAAK,OAAO,UAAU;EACtD,IAAI;GACF,MAAM,MAAM,GAAG,WAAW,KAAK,UAAU;GAEzC,IAAI,MADiB,IAAI,OAAO,KAClB,CAAC,aAAa;IAC1B,MAAM,IAAI,KAAK;IACf,KAAKC,SAAS,OAAO,KAAK,UAAU;GACtC;GACA,IAAI,CAAE,MAAM,IAAI,OAAO,GAAI;IACzB,MAAM,IAAI,OAAO;IACjB,KAAKA,SAAS,OAAO,KAAK,UAAU;GACtC;EAGF,SAAS,KAAK;GACZ,MAAM,IAAI,oCAAA,iCAAiC,CAAC,oBAAoB,OAAO,GAAG,CAAC,CAAC;EAC9E;CACF;CAGA,MAAMC,mBAAmB,YAAmC;EAC1D,IAAI,KAAKD,SAAS,IAAI,UAAU,GAAG;EAEnC,MAAM,OAAM,MADK,KAAKF,QAAQ,GACf,WAAW,UAAU;EACpC,MAAM,SAAS,KAAKH,MAAM,UAAU;EACpC,MAAM,MAAM,KAAKI,MAAM,IAAI,UAAU,KAAK,KAAKJ,MAAM;EACrD,IAAI,QAAQ,KAAA,GAAW;EACvB,IAAI;GACF,MAAM,IAAI,YAAY;IACpB,MAAM;IACN,QAAQ,CAAC,KAAK;IACd,QAAQ;KACN,QAAQ,WAAW,cAAc,OAAO;KACxC,WAAW;KACX,QAAQ,KAAKA,MAAM,WAAW,UAAU;IAC1C;GACF,CAAC;GACD,KAAKK,SAAS,IAAI,UAAU;EAC9B,QAAQ,CAGR;CACF;CAEA,MAAM,eAAe,YAAoB,UAAkC;EACzE,MAAM,KAAK,MAAM,KAAKF,QAAQ;EAC9B,IAAI;GACF,MAAM,MAAM,GAAG,WAAW,UAAU;GACpC,IAAI,MAAM,IAAI,OAAO,GACnB,MAAM,IAAI,KAAK;QACV,IAAI,CAAC,UACV,MAAM,IAAI,MAAM,2BAA2B,UAAU;GAEvD,KAAKC,MAAM,OAAO,UAAU;EAC9B,SAAS,KAAK;GACZ,MAAM,IAAI,oCAAA,iCAAiC,CAAC,kBAAkB,OAAO,GAAG,CAAC,CAAC;EAC5E;CACF;CAEA,MAAM,cAAc,YAAsC;EACxD,MAAM,KAAK,MAAM,KAAKD,QAAQ;EAC9B,IAAI;GACF,OAAO,MAAM,GAAG,WAAW,UAAU,EAAE,OAAO;EAChD,QAAQ;GACN,OAAO;EACT;CACF;CAEA,MAAM,iBAAiB,OAAe,KAA4B;EAChE,MAAM,IAAI,oCAAA,qCAAqC,CAAC,oBAAoB,UAAU,CAAC;CACjF;CAEA,MAAM,cAAc,MAAiC;EACnD,IAAI,KAAK,QAAQ,WAAW,GAAG;EAC/B,oCAAA,gBAAgB,KAAK,OAAO;EAC5B,MAAM,KAAK,MAAM,KAAKA,QAAQ;EAC9B,MAAM,WAAW,KAAKH,MAAM,cAAc,KAAKI,MAAM,IAAI,KAAK,UAAU;EACxE,IAAI;GACF,MAAM,MAAM,GAAG,WAAW,KAAK,UAAU;GACzC,KAAK,MAAM,KAAK,KAAK,SAAS;IAC5B,IAAI,SAAS,EAAE;IACf,IAAI,CAAC,UAAU,EAAE,UAAU;KACzB,MAAM,CAAC,KAAK,MAAM,KAAK,OAAO,CAAC,EAAE,QAAQ,GAAG,UAAU;KACtD,SAAS;IACX;IACA,IAAI,CAAC,QACH,MAAM,IAAI,oCAAA,6BAA6B,CAAC,oCAAoC,CAAC;IAE/E,IAAI,aAAa,KAAA,KAAa,OAAO,WAAW,UAC9C,MAAM,IAAI,oCAAA,kCAAkC,CAAC,UAAU,OAAO,MAAM,CAAC;IAEvE,MAAM,MAAM;KACV,MAAM,EAAE;KACR,KAAK;KACL,UAAU,EAAE,YAAY;KACxB,UAAU,EAAE,WAAW,KAAK,UAAU,EAAE,QAAQ,IAAI;IACtD;IACA,MAAM,IAAI,KAAK,KAAK,EAAE,eAAe,UAAU,CAAC;GAClD;GAEA,MAAM,KAAKE,mBAAmB,KAAK,UAAU;EAC/C,SAAS,KAAK;GACZ,IACE,eAAA,aAAa,KAAK,qCAAqC,oCAAA,iCAAiC,KACxF,eAAA,aAAa,KAAK,gCAAgC,oCAAA,4BAA4B,GAE9E,MAAM;GAER,MAAM,IAAI,oCAAA,6BAA6B,CAAC,OAAO,GAAG,CAAC,CAAC;EACtD;CACF;CAEA,MAAM,cAAc,MAA0C;EAC5D,MAAM,KAAK,MAAM,KAAKH,QAAQ;EAC9B,MAAM,MAAM,KAAKD;EACjB,MAAM,SAAS,KAAKF,MAAM,UAAU;EACpC,IAAI;EACJ,IAAI,KAAK;OACH,YAAY,KAAK,MACnB,cAAc,KAAK,KAAK;QACnB,IAAI,gBAAgB,KAAK,MAAM;IACpC,MAAM,CAAC,KAAK,MAAM,KAAK,OAAO,CAAC,KAAK,KAAK,UAAU,GAAG,OAAO;IAC7D,cAAc;GAChB,OAAO,IAAI,QAAQ,KAAK,MAAM;IAC5B,MAAM,MAAM,GAAG,WAAW,KAAK,UAAU;IACzC,IAAI;KAEF,eAAc,MADI,IAAI,SAAS,KAAK,KAAK,EAAE,GACzB;IACpB,QAAQ;KACN,MAAM,IAAI,oCAAA,6BAA6B,CAAC,8BAA8B,KAAK,KAAK,EAAE,CAAC;IACrF;GACF;;EAGF,MAAM,SAAS,KAAK,UAAU;EAC9B,IAAI;GACF,IAAI;GACJ,IAAI,aAAa;IAKf,MAAM,QAAQ,WAAW;IACzB,MAAM,KAAK,QAAQ,gBAAgB;IACnC,MAAM,MAAM,QAAQ,QAAQ;IAC5B,MAAM,IAAI,KAAK,SAAS,MAAS,KAAK,OAAO;IAC7C,MAAM,QACJ,gCACiB,GAAG,4BACJ,IAAI;IAOtB,OAAO,OAAM,MALQ,GAAG,MAAM,OAAO;KACnC,QAAQ,KAAK;KACb,MAAM;KACN;IACF,CAAC,GACmB,IAAI;IAIxB,QAHiB,KAAK,SAClB,KAAK,QAAQ,QAAQ,iCAAA,eAAe,KAAK,QAAS,KAAKO,WAAW,IAAI,QAAQ,CAAC,CAAC,IAChF,MAED,MAAM,QAAQ,SAAS,KAAK,IAAI,EAChC,KAAK,QAAQ,KAAKC,SAAS,KAAK,MAAM,IAAI,CAAC;GAChD,OAAO;IAIL,OAAO,OAAM,MAHQ,GAAG,MACtB,GAAG,YAAY,GAAG,WAAW,KAAK,UAAU,EAAE,+EAChD,GACoB,IAAI;IAIxB,QAHiB,KAAK,SAClB,KAAK,QAAQ,QAAQ,iCAAA,eAAe,KAAK,QAAS,KAAKD,WAAW,IAAI,QAAQ,CAAC,CAAC,IAChF,MAED,MAAM,QAAQ,SAAS,KAAK,IAAI,EAChC,KAAK,QAAQ,KAAKC,SAAS,KAAK,MAAM,KAAK,CAAC;GACjD;EACF,SAAS,KAAK;GACZ,MAAM,IAAI,oCAAA,6BAA6B,CAAC,OAAO,GAAG,CAAC,CAAC;EACtD;CACF;CAEA,WAAW,KAA8B;EACvC,IAAI,OAAO,QAAQ,UACjB,IAAI;GACF,OAAO,KAAK,MAAM,GAAG;EACvB,QAAQ;GACN,OAAO,CAAC;EACV;EAEF,IAAI,OAAO,OAAO,QAAQ,UAAU,OAAO;EAC3C,OAAO,CAAC;CACV;CAEA,SAAS,KAAU,MAAkB,OAA6B;EAChE,MAAM,OAAO,KAAK;EAClB,MAAM,MAAmB,CAAC;EAC1B,IAAI,KAAK,IAAI,IAAI,KAAK,IAAI;EAC1B,IAAI,KAAK,UAAU,MAAM,QAAQ,IAAI,GAAG,GAAG,IAAI,SAAU,IAAI,IAAiB,IAAI,MAAM;EACxF,IAAI,KAAK,UAAU,IAAI,WAAY,IAAI,YAAY,KAAA;EACnD,IAAI,KAAK,UAAU,IAAI,WAAW,KAAKD,WAAW,IAAI,QAAQ;EAC9D,IAAI,SAAS,IAAI,UAAU,KAAA,KAAa,IAAI,UAAU,MAGpD,IAAI,SADM,KAAKP,MAAM,UAAU,cACb,cAAc,KAAK,IAAI,OAAO,IAAI,KAAK,KAAK,OAAO,IAAI,KAAK;EAEhF,OAAO;CACT;CAEA,MAAM,cAAc,MAAiC;EACnD,MAAM,KAAK,MAAM,KAAKG,QAAQ;EAC9B,MAAM,MAAM,KAAKD;EACjB,IAAI;GACF,MAAM,MAAM,GAAG,WAAW,KAAK,UAAU;GACzC,IAAI,KAAK,OAAO,KAAK,IAAI,SAAS,GAChC,MAAM,IAAI,UAAU,KAAK,GAAG,EAAE,MAAM,YAAY;IAC9C,KAAK,MAAM,MAAM,KAAK,KAAM,MAAM,IAAI,OAAO,EAAE,EAAE,YAAY,KAAA,CAAS;GACxE,CAAC;QACI,IAAI,KAAK,QAAQ;IAKtB,MAAM,WAAU,OADG,MAHE,GAAG,MACtB,GAAG,YAAY,IAAI,6CACrB,GAC0B,IAAI,GAE3B,QAAQ,QAAa,iCAAA,eAAe,KAAK,QAAS,KAAKK,WAAW,IAAI,QAAQ,CAAC,CAAC,EAChF,KAAK,QAAa,IAAI,EAAY;IACrC,IAAI,QAAQ,SAAS,GACnB,MAAM,IAAI,UAAU,OAAO,EAAE,MAAM,YAAY;KAC7C,KAAK,MAAM,MAAM,SAAS,MAAM,IAAI,OAAO,EAAE,EAAE,YAAY,KAAA,CAAS;IACtE,CAAC;GAEL,OACE,MAAM,IAAI,SAAS;EAEvB,SAAS,KAAK;GACZ,MAAM,IAAI,oCAAA,6BAA6B,CAAC,OAAO,GAAG,CAAC,CAAC;EACtD;CACF;AACF"}