新增 Baseline Profile 增加冷启动性能
This commit is contained in:
@@ -9,6 +9,7 @@ plugins {
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alias(libs.plugins.room)
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alias(libs.plugins.room)
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alias(libs.plugins.ksp)
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alias(libs.plugins.ksp)
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alias(libs.plugins.google.services)
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alias(libs.plugins.google.services)
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alias(libs.plugins.baselineprofile)
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}
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}
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apply(from = "download.gradle")
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apply(from = "download.gradle")
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@@ -168,6 +169,8 @@ ksp {
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}
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}
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dependencies {
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dependencies {
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implementation(libs.androidx.profileinstaller)
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"baselineProfile"(project(":baselineprofile"))
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coreLibraryDesugaring(libs.desugar)
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coreLibraryDesugaring(libs.desugar)
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testImplementation(libs.junit)
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testImplementation(libs.junit)
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androidTestImplementation(libs.bundles.androidTest)
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androidTestImplementation(libs.bundles.androidTest)
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@@ -0,0 +1 @@
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/build
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@@ -0,0 +1,69 @@
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import com.android.build.api.dsl.ManagedVirtualDevice
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plugins {
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alias(libs.plugins.android.test)
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alias(libs.plugins.baselineprofile)
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}
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android {
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namespace = "io.legado.baselineprofile"
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compileSdk {
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version = release(36) {
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minorApiLevel = 1
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}
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}
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compileOptions {
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sourceCompatibility = JavaVersion.VERSION_11
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targetCompatibility = JavaVersion.VERSION_11
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}
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defaultConfig {
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minSdk = 28
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targetSdk = 36
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testInstrumentationRunner = "androidx.test.runner.AndroidJUnitRunner"
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}
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targetProjectPath = ":app"
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flavorDimensions += listOf("mode")
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productFlavors {
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create("app") { dimension = "mode" }
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}
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// This code creates the gradle managed device used to generate baseline profiles.
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// To use GMD please invoke generation through the command line:
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// ./gradlew :app:generateBaselineProfile
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testOptions.managedDevices.allDevices {
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create<ManagedVirtualDevice>("pixel6Api34") {
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device = "Pixel 6"
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apiLevel = 34
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systemImageSource = "google"
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}
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}
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}
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// This is the configuration block for the Baseline Profile plugin.
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// You can specify to run the generators on a managed devices or connected devices.
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baselineProfile {
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managedDevices += "pixel6Api34"
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useConnectedDevices = false
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}
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dependencies {
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implementation(libs.androidx.benchmark.macro.junit4)
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implementation(libs.androidx.espresso.core)
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implementation(libs.androidx.junit)
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implementation(libs.androidx.uiautomator)
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}
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androidComponents {
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onVariants { v ->
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val artifactsLoader = v.artifacts.getBuiltArtifactsLoader()
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v.instrumentationRunnerArguments.put(
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"targetAppId",
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v.testedApks.map { artifactsLoader.load(it)?.applicationId }
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)
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}
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}
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@@ -0,0 +1 @@
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<manifest />
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@@ -0,0 +1,68 @@
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package io.legado.baselineprofile
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import androidx.benchmark.macro.junit4.BaselineProfileRule
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import androidx.test.ext.junit.runners.AndroidJUnit4
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import androidx.test.filters.LargeTest
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import androidx.test.platform.app.InstrumentationRegistry
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import org.junit.Rule
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import org.junit.Test
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import org.junit.runner.RunWith
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/**
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* This test class generates a basic startup baseline profile for the target package.
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*
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* We recommend you start with this but add important user flows to the profile to improve their performance.
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* Refer to the [baseline profile documentation](https://d.android.com/topic/performance/baselineprofiles)
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* for more information.
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*
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* You can run the generator with the "Generate Baseline Profile" run configuration in Android Studio or
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* the equivalent `generateBaselineProfile` gradle task:
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* ```
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* ./gradlew :app:generateReleaseBaselineProfile
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* ```
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* The run configuration runs the Gradle task and applies filtering to run only the generators.
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*
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* Check [documentation](https://d.android.com/topic/performance/benchmarking/macrobenchmark-instrumentation-args)
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* for more information about available instrumentation arguments.
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*
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* After you run the generator, you can verify the improvements running the [StartupBenchmarks] benchmark.
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*
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* When using this class to generate a baseline profile, only API 33+ or rooted API 28+ are supported.
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*
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* The minimum required version of androidx.benchmark to generate a baseline profile is 1.2.0.
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**/
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@RunWith(AndroidJUnit4::class)
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@LargeTest
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class BaselineProfileGenerator {
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@get:Rule
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val rule = BaselineProfileRule()
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@Test
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fun generate() {
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// The application id for the running build variant is read from the instrumentation arguments.
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rule.collect(
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packageName = InstrumentationRegistry.getArguments().getString("targetAppId")
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?: throw Exception("targetAppId not passed as instrumentation runner arg"),
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// See: https://d.android.com/topic/performance/baselineprofiles/dex-layout-optimizations
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includeInStartupProfile = true
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) {
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// This block defines the app's critical user journey. Here we are interested in
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// optimizing for app startup. But you can also navigate and scroll through your most important UI.
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// Start default activity for your app
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pressHome()
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startActivityAndWait()
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// TODO Write more interactions to optimize advanced journeys of your app.
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// For example:
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// 1. Wait until the content is asynchronously loaded
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// 2. Scroll the feed content
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// 3. Navigate to detail screen
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// Check UiAutomator documentation for more information how to interact with the app.
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// https://d.android.com/training/testing/other-components/ui-automator
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}
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}
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}
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@@ -0,0 +1,76 @@
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package io.legado.baselineprofile
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import androidx.benchmark.macro.BaselineProfileMode
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import androidx.benchmark.macro.CompilationMode
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import androidx.benchmark.macro.StartupMode
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import androidx.benchmark.macro.StartupTimingMetric
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import androidx.benchmark.macro.junit4.MacrobenchmarkRule
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import androidx.test.ext.junit.runners.AndroidJUnit4
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import androidx.test.filters.LargeTest
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import androidx.test.platform.app.InstrumentationRegistry
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import org.junit.Rule
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import org.junit.Test
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import org.junit.runner.RunWith
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/**
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* This test class benchmarks the speed of app startup.
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* Run this benchmark to verify how effective a Baseline Profile is.
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* It does this by comparing [CompilationMode.None], which represents the app with no Baseline
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* Profiles optimizations, and [CompilationMode.Partial], which uses Baseline Profiles.
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*
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* Run this benchmark to see startup measurements and captured system traces for verifying
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* the effectiveness of your Baseline Profiles. You can run it directly from Android
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* Studio as an instrumentation test, or run all benchmarks for a variant, for example benchmarkRelease,
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* with this Gradle task:
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* ```
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* ./gradlew :baselineprofile:connectedBenchmarkReleaseAndroidTest
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* ```
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*
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* You should run the benchmarks on a physical device, not an Android emulator, because the
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* emulator doesn't represent real world performance and shares system resources with its host.
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*
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* For more information, see the [Macrobenchmark documentation](https://d.android.com/macrobenchmark#create-macrobenchmark)
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* and the [instrumentation arguments documentation](https://d.android.com/topic/performance/benchmarking/macrobenchmark-instrumentation-args).
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**/
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@RunWith(AndroidJUnit4::class)
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@LargeTest
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class StartupBenchmarks {
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@get:Rule
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val rule = MacrobenchmarkRule()
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@Test
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fun startupCompilationNone() =
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benchmark(CompilationMode.None())
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@Test
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fun startupCompilationBaselineProfiles() =
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benchmark(CompilationMode.Partial(BaselineProfileMode.Require))
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private fun benchmark(compilationMode: CompilationMode) {
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// The application id for the running build variant is read from the instrumentation arguments.
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rule.measureRepeated(
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packageName = InstrumentationRegistry.getArguments().getString("targetAppId")
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?: throw Exception("targetAppId not passed as instrumentation runner arg"),
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metrics = listOf(StartupTimingMetric()),
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compilationMode = compilationMode,
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startupMode = StartupMode.COLD,
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iterations = 10,
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setupBlock = {
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pressHome()
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},
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measureBlock = {
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startActivityAndWait()
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// TODO Add interactions to wait for when your app is fully drawn.
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// The app is fully drawn when Activity.reportFullyDrawn is called.
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// For Jetpack Compose, you can use ReportDrawn, ReportDrawnWhen and ReportDrawnAfter
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// from the AndroidX Activity library.
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// Check the UiAutomator documentation for more information on how to
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// interact with the app.
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// https://d.android.com/training/testing/other-components/ui-automator
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}
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)
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}
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}
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Reference in New Issue
Block a user