{
  "version": 3,
  "sources": ["../../src/document/generated-tree-library/src/benchmarks.ts", "../../src/utils/ModulesRuntimeContext.ts"],
  "sourcesContent": ["import { treeLibrary } from \"document/models/CanvasTree/FastTreeLibrary.ts\"\nimport type { CanvasNode, CanvasTree, NodeID } from \"document/models/CanvasTree/index.ts\"\nimport { nodeFromValue, resetFastClone, setupFastClone, valueFromNode } from \"./tree-library.ts\"\n\n// Create a slightly nicer output for tinybench.\nfunction rewriteTable(baseline: number, table: (Record<string, any> | null)[]) {\n\treturn table.map((row: Record<string, any> | null) => {\n\t\tif (!row) return null\n\t\tconst nanos = row[\"Average Time (ns)\"]\n\t\tif (!nanos) return row\n\n\t\tif (row[\"Task Name\"] === \"baseline\") {\n\t\t\trow[\"Faster\"] = \"-\"\n\t\t} else {\n\t\t\tconst millis = nanos / 1000_000\n\t\t\trow[\"Faster\"] = (baseline / millis).toFixed(2)\n\t\t}\n\n\t\tdelete row[\"Margin\"]\n\t\tdelete row[\"Average Time (ns)\"]\n\t\trow[\"Average Time (s)\"] = (nanos / 1000_000_000).toFixed(3)\n\t\treturn row\n\t})\n}\n\nexport async function benchmarkValueFromNode(node: CanvasNode) {\n\tconst { default: Bench } = await import(\"tinybench\")\n\n\tconst bench = new Bench()\n\n\tbench.add(\"baseline\", () => treeLibrary.generics.valueFromNode(node))\n\tbench.add(\"new\", () => valueFromNode(node))\n\n\tawait bench.warmup()\n\tawait bench.run()\n\n\tconst table = rewriteTable(bench.results[0]?.mean ?? 0, bench.table())\n\tconst treeSize = [...node.walk()].length\n\tconsole.log(`Results for serializing ${node.__class} with ${treeSize} nodes`)\n\tconsole.table(table)\n}\n\nexport async function benchmarkNodeFromValue(tree: CanvasTree) {\n\tconst { default: Bench } = await import(\"tinybench\")\n\n\tconst rootValueNode = tree.root.toJS()\n\tlet clonedRootValueNode = rootValueNode\n\tfunction prepare() {\n\t\tclonedRootValueNode = JSON.parse(JSON.stringify(rootValueNode))\n\t}\n\n\tconst bench = new Bench()\n\tbench.add(\"baseline\", () => treeLibrary.generics.nodeFromValue(clonedRootValueNode), { beforeEach: prepare })\n\tbench.add(\"new\", () => nodeFromValue(clonedRootValueNode), { beforeEach: prepare })\n\n\tawait bench.warmup()\n\tawait bench.run()\n\n\tconst table = rewriteTable(bench.results[0]?.mean ?? 0, bench.table())\n\tconst treeSize = tree.size()\n\tconsole.log(`Results for parsing ${treeSize} nodes`)\n\tconsole.table(table)\n}\n\nexport async function benchmarkFastClone(node: CanvasNode) {\n\tconst { default: Bench } = await import(\"tinybench\")\n\n\tconst bench = new Bench({\n\t\titerations: 5,\n\t})\n\tbench.add(\"baseline\", () => node.clone(), { beforeAll: () => resetFastClone() })\n\tbench.add(\"new\", () => node.clone(), { beforeAll: () => setupFastClone() })\n\n\tawait bench.warmup()\n\tawait bench.run()\n\n\tconst table = rewriteTable(bench.results[0]?.mean ?? 0, bench.table())\n\tconst treeSize = [...node.walk()].length\n\tconsole.log(`Results for cloning ${treeSize} nodes`)\n\tconsole.table(table)\n}\n\nexport async function benchmarkTreeAssembling(tree: CanvasTree, scopeIds: NodeID[]) {\n\tconst { loadPartialDocument, loadOneRootChild, TreeAssembler } = await import(\"document/partialDocument.ts\")\n\tconst { VekterEngine } = await import(\"document/VekterEngine.ts\")\n\tconst { DocumentParser, serializeDocument } = await import(\"@framerjs/document-snapshotter\")\n\tconst { default: Bench } = await import(\"tinybench\")\n\n\tconst data = serializeDocument(tree.toJS())\n\tconst parser = new DocumentParser(data)\n\n\tconst assemblePages = () => {\n\t\tconst engine = new VekterEngine()\n\t\tconst partialTree = loadPartialDocument(parser, engine.componentLoader, scopeIds)\n\t\tconst loadedPages = new Map<string, CanvasNode>()\n\t\twhile (!loadOneRootChild(parser, loadedPages)) {\n\t\t\t// nothing\n\t\t}\n\t\tconst assembler = new TreeAssembler(engine, partialTree, loadedPages)\n\t\twhile (!assembler.assembleOnePage()) {\n\t\t\t// nothing\n\t\t}\n\t\tassembler.buildCompleteTree()\n\t}\n\n\tif (!sessionStorage.getItem(\"bench\")) {\n\t\tconsole.log(\"Running once, call with sessionStorage.bench = 1 to use benchmark.\")\n\t\tconsole.time(\"assemblePages\")\n\t\tassemblePages()\n\t\tconsole.timeEnd(\"assemblePages\")\n\t\treturn\n\t}\n\tconst bench = new Bench({})\n\n\tbench.add(\"baseline\", assemblePages)\n\n\tconsole.log(\"warmup\")\n\tawait bench.warmup()\n\tconsole.log(\"run\")\n\tawait bench.run()\n\n\tconst table = rewriteTable(bench.results[0]?.mean ?? 0, bench.table())\n\tconsole.table(table)\n}\n", "import { assert } from \"@framerjs/shared\"\nimport type { ModulesRuntime } from \"modulesRuntime/ModulesRuntime.ts\"\nimport { createContext, useContext } from \"react\"\n\nexport const ModulesRuntimeContext = createContext<ModulesRuntime | undefined>(undefined)\n\nexport function useModulesRuntime(): ModulesRuntime {\n\tconst modulesRuntime = useContext(ModulesRuntimeContext)\n\tassert(\n\t\tmodulesRuntime,\n\t\t\"modulesRuntime is not found in the context, make sure ModulesRuntimeContext.Provider is present in the tree.\",\n\t)\n\n\treturn modulesRuntime\n}\n"],
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