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.teamcity/src/test/kotlin/ApplyDefaultConfigurationTest.kt
import configurations.applyDefaults import configurations.applyTestDefaults import io.mockk.every import io.mockk.impl.annotations.MockK import io.mockk.junit5.MockKExtension import io.mockk.mockk import io.mockk.slot import jetbrains.buildServer.configs.kotlin.BuildStep import jetbrains.buildServer.configs.kotlin.BuildSteps import jetbrains.buildServer.configs.kotlin.buildSteps.GradleBuildStep import model.CIBuildModel
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architecture/README.md
Each process, or "runtime", applies different constraints to the code that runs in that process. For example, each process has different supported JVMs and a different set of services available for dependency injection. While a lot of Gradle source code runs only in the Gradle daemon, not all of it does and so, when working on some source code it is important to be aware of the runtimes in which it will run.
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build-logic-commons/gradle-plugin/src/main/kotlin/gradlebuild.repositories.gradle.kts
repositories { maven { name = "Gradle public repository" url = uri("https://repo.gradle.org/gradle/public") content { includeGroup("net.rubygrapefruit") includeModule("flot", "flot") includeModule("org.gradle", "gradle-tooling-api") includeModule("org.gradle.buildtool.internal", "configuration-cache-report")
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architecture/standards/0002-avoid-using-java-serialization.md
- **Performance:** Java's built-in serialization mechanism is often slower compared to other serialization solutions. This is due to Java's use of reflection and the need to maintain a lot of metadata. - **Size of Serialized Data:** Java serialization tends to produce larger serialized objects because it includes class metadata and other overhead. - **Flexibility and Control:**
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