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12 KiB
JSON
1 line
12 KiB
JSON
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{"ast":null,"code":"import { activeAnimations } from './animation-count.mjs';\nimport { statsBuffer } from './buffer.mjs';\nimport { frame, cancelFrame, frameData } from '../frameloop/frame.mjs';\nfunction record() {\n const {\n value\n } = statsBuffer;\n if (value === null) {\n cancelFrame(record);\n return;\n }\n value.frameloop.rate.push(frameData.delta);\n value.animations.mainThread.push(activeAnimations.mainThread);\n value.animations.waapi.push(activeAnimations.waapi);\n value.animations.layout.push(activeAnimations.layout);\n}\nfunction mean(values) {\n return values.reduce((acc, value) => acc + value, 0) / values.length;\n}\nfunction summarise(values) {\n let calcAverage = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : mean;\n if (values.length === 0) {\n return {\n min: 0,\n max: 0,\n avg: 0\n };\n }\n return {\n min: Math.min(...values),\n max: Math.max(...values),\n avg: calcAverage(values)\n };\n}\nconst msToFps = ms => Math.round(1000 / ms);\nfunction clearStatsBuffer() {\n statsBuffer.value = null;\n statsBuffer.addProjectionMetrics = null;\n}\nfunction reportStats() {\n const {\n value\n } = statsBuffer;\n if (!value) {\n throw new Error(\"Stats are not being measured\");\n }\n clearStatsBuffer();\n cancelFrame(record);\n const summary = {\n frameloop: {\n setup: summarise(value.frameloop.setup),\n rate: summarise(value.frameloop.rate),\n read: summarise(value.frameloop.read),\n resolveKeyframes: summarise(value.frameloop.resolveKeyframes),\n preUpdate: summarise(value.frameloop.preUpdate),\n update: summarise(value.frameloop.update),\n preRender: summarise(value.frameloop.preRender),\n render: summarise(value.frameloop.render),\n postRender: summarise(value.frameloop.postRender)\n },\n animations: {\n mainThread: summarise(value.animations.mainThread),\n waapi: summarise(value.animations.waapi),\n layout: summarise(value.animations.layout)\n },\n layoutProjection: {\n nodes: summarise(value.layoutProjection.nodes),\n calculatedTargetDeltas: summarise(value.layoutProjection.calculatedTargetDeltas),\n calculatedProjections: summarise(value.layoutProjection.calculatedProjections)\n }\n };\n /**\n * Convert the rate to FPS\n */\n const {\n rate\n } = summary.frameloop;\n rate.min = msToFps(rate.min);\n rate.max = msToFps(rate.max);\n rate.avg = msToFps(rate.avg);\n [rate.min, rate.max] = [rate.max, rate.min];\n return summary;\n}\nfunction recordStats() {\n if (statsBuffer.value) {\n clearStatsBuffer();\n throw new Error(\"Stats are already being measured\");\n }\n const newStatsBuffer = statsBuffer;\n newStatsBuffer.value = {\n frameloop: {\n setup: [],\n rate: [],\n read: [],\n resolveKeyframes: [],\n preUpdate: [],\n update: [],\n preRender: [],\n render: [],\n postRender: []\n },\n animations: {\n mainThread: [],\n waapi: [],\n layout: []\n },\n layoutProjection: {\n nodes: [],\n calculatedTargetDeltas: [],\n calculatedProjections: []\n }\n };\n newStatsBuffer.addProjectionMetrics = metrics => {\n const {\n layoutProjection\n } = newStatsBuffer.value;\n layoutProjection.nodes.push(metrics.nodes);\n layoutProjection.calculatedTargetDeltas.push(metrics.calculatedTargetDeltas);\n layoutProjection.calculatedProjections.push(metrics.calculatedProjections);\n };\n frame.postRender(record, true);\n return reportStats;\n}\nexport { recordStats };","map":{"version":3,"names":["activeAnimations","statsBuffer","frame","cancelFrame","frameData","record","value","frameloop","rate","push","delta","animations","mainThread","waapi","layout","mean","values","reduce","acc","length","summarise","calcAverage","arguments","undefined","min","max","avg","Math","msToFps","ms","round","clearStatsBuffer","addProjectionMetrics","reportStats","Error","summary","setup","read","resolveKeyframes","preUpdate","upda
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