import kotlinx.validation.ApiValidationExtension
import org.gradle.api.tasks.testing.logging.TestExceptionFormat
import org.jetbrains.dokka.gradle.DokkaTaskPartial
import org.jetbrains.kotlin.gradle.dsl.JvmTarget
import org.jetbrains.kotlin.gradle.dsl.kotlinExtension
import org.jetbrains.kotlin.gradle.targets.jvm.tasks.KotlinJvmTest
import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
import ru.vyarus.gradle.plugin.animalsniffer.AnimalSnifferExtension

Bei getrennten Funktionen, die keine gemeinsame Logik oder Variablen haben, ist dies schwieriger, da Sie Werte in globalen Variablen speichern oder ähnliche Tricks verwenden müssen.

Aus diesem Grund wird jetzt empfohlen, stattdessen `lifespan` wie oben erläutert zu verwenden.

## Technische Details

Nur ein technisches Detail für die neugierigen Nerds. 🤓

{* ../../docs_src/path_params_numeric_validations/tutorial002_an_py39.py hl[10] *}

## Sortieren Sie die Parameter wie Sie möchten: Tricks

/// tip | Tipp

Wenn Sie `Annotated` verwenden, ist das folgende nicht so wichtig / nicht notwendig.

///

Hier ein **kleiner Trick**, der nützlich sein kann, aber Sie werden ihn nicht oft brauchen.

Wenn Sie eines der folgenden Dinge tun möchten:

- **Encryption Context**: Per-session encryption state management
- **Key Derivation**: SMB3 KDF implementation with dialect-specific parameters
- **Pre-Authentication Integrity**: SMB 3.1.1 PAI for preventing downgrade attacks
- **Automatic Detection**: Encryption automatically enabled when servers require it
- **Secure Key Management**: Proper key derivation and nonce generation

### Core Features

import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

/**
 * Helper class for managing crawling information and statistics.
 * Provides functionality to track crawling sessions, manage document expiration,
 * and handle crawling information storage and retrieval.
 */
public class CrawlingInfoHelper {

    /**
     * Creates a new instance of CrawlingInfoHelper.
     */

* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.
* Many extra features (thanks to Starlette) as:
    * **WebSockets**
    * extremely easy tests based on HTTPX and `pytest`
    * **CORS**

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.

## `TrustedHostMiddleware` { #trustedhostmiddleware }

Enforces that all incoming requests have a correctly set `Host` header, in order to guard against HTTP Host Header attacks.

{* ../../docs_src/advanced_middleware/tutorial002.py hl[2,6:8] *}

The following arguments are supported:

        // Verify that multiple threads were processed
        assertTrue("Should process at least one thread", threadCount.get() >= 1);
        assertTrue("Should have stack trace elements", stackTraceCount.get() > 0);
        assertTrue("Should have more stack traces than threads", stackTraceCount.get() > threadCount.get());
    }

    public void test_processThreadDump_withException() {
        Consumer<String> exceptionConsumer = line -> {

      DerHeader(
        tagClass = DerHeader.TAG_CLASS_UNIVERSAL,
        tag = DerHeader.TAG_END_OF_CONTENTS,
        constructed = false,
        length = -1L,
      )
  }

  /** A source that keeps track of how many bytes it's consumed. */
  private class CountingSource(
    source: Source,
  ) : ForwardingSource(source) {
    var bytesRead = 0L

    override fun read(
      sink: Buffer,