It is made up of 3 architecture modules:

- **Runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.
- **Configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.

      "coverage" : {
        "per_day" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.nativeplatform.RealWorldNativePluginPerformanceTest.build with 0 parallel workers",
    "groups" : [ {
      "testProject" : "nativeMonolithic",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    }, {
      "testProject" : "nativeMonolithicOverlapping",

///

Para evitar bloquear el event loop, puedes simplemente declarar la *path operation function* con un `def` normal en lugar de `async def`; de esa forma FastAPI la ejecutará en un worker de threadpool para evitar bloquear el loop principal.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[30:34] hl[31] *}

/// tip | Consejo

    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi">

It is made up of 3 architecture modules:

- **core-runtime**: Provides the runtimes or "containers" in which code runs. These runtimes include the Gradle client, the daemon and the worker processes. This is the base module on which all other architecture modules depend.
- **core-configuration**: Allows the build structure and work, such as tasks, to be specified. This includes the project model, the DSL and so on.

import com.github.javaparser.symbolsolver.resolution.typesolvers.JavaParserTypeSolver
import com.github.javaparser.symbolsolver.resolution.typesolvers.ReflectionTypeSolver
import gradlebuild.basics.util.KotlinSourceParser
import org.gradle.workers.WorkAction
import org.jetbrains.kotlin.psi.KtCallableDeclaration
import org.jetbrains.kotlin.psi.KtDeclaration
import org.jetbrains.kotlin.psi.KtFile
import org.jetbrains.kotlin.psi.KtNamedDeclaration

			Description: "manage namespace scanning for usage calculation, lifecycle, healing and more",
		},
		config.HelpKV{
			Key:         config.BatchSubSys,
			Description: "manage batch job workers and wait times",
		},
		config.HelpKV{
			Key:         config.CompressionSubSys,
			Description: "enable server side compression of objects",
		},
		config.HelpKV{

import java.util.logging.Logger
import okhttp3.internal.addIfAbsent
import okhttp3.internal.concurrent.TaskRunner.Companion.INSTANCE
import okhttp3.internal.okHttpName
import okhttp3.internal.threadFactory

/**
 * A set of worker threads that are shared among a set of task queues.
 *
 * Use [INSTANCE] for a task runner that uses daemon threads. There is not currently a shared
 * instance for non-daemon threads.
 *

    <img src="https://github.com/fastapi/fastapi/actions/workflows/test.yml/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Testabdeckung">
</a>
<a href="https://pypi.org/project/fastapi">

///

Um die Event-Loop nicht zu blockieren, können Sie die Pfadoperation-Funktion einfach mit normalem `def` statt `async def` deklarieren, dadurch führt FastAPI sie in einem Threadpool-Worker aus, um die Haupt-Event-Loop nicht zu blockieren.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[30:34] hl[31] *}

/// tip | Tipp