package com.google.common.base;

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.common.collect.Lists;
import com.google.common.primitives.Chars;
import java.util.Collections;
import java.util.List;
import java.util.Locale;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for the ASCII class.
 *

import com.google.caliper.BeforeExperiment;
import com.google.caliper.Benchmark;
import com.google.caliper.Param;
import com.google.common.base.Optional;
import com.google.common.primitives.Ints;
import java.util.List;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for the {@code TreeTraverser} operations on binary trees.
 *
 * @author Louis Wasserman
 */
@NullUnmarked

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import java.nio.file.Path;
import java.util.Collection;
import java.util.List;
import java.util.Map;

import org.apache.maven.api.Artifact;
import org.apache.maven.api.ArtifactCoordinates;
import org.apache.maven.api.DownloadedArtifact;
import org.apache.maven.api.Repository;

또는 의존성이 값을 반환하지 않습니다.

그러나 여전히 실행/해결될 필요가 있습니다.

그런 경우에, `Depends`를 사용하여 *경로 작동 함수*의 매개변수로 선언하는 것보다 *경로 작동 데코레이터*에 `dependencies`의 `list`를 추가할 수 있습니다.

## *경로 작동 데코레이터*에 `dependencies` 추가하기

*경로 작동 데코레이터*는 `dependencies`라는 선택적인 인자를 받습니다.

`Depends()`로 된 `list`이어야합니다:

{* ../../docs_src/dependencies/tutorial006_an_py39.py hl[19] *}

이러한 의존성들은 기존 의존성들과 같은 방식으로 실행/해결됩니다. 그러나 값은 (무엇이든 반환한다면) *경로 작동 함수*에 제공되지 않습니다.

    @Resource
    private ProtwordsService protwordsService;

    /**
     * Retrieve list of protected words entries for the specified dictionary.
     *
     * @param dictId identifier of the dictionary
     * @param body search criteria and paging parameters
     * @return JSON response containing list of entries
     */
    // GET /api/admin/dict/protwords/settings/{dictId}
    @Execute

import java.io.ByteArrayOutputStream;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Tests for AbstractStreamingHasher.
 *
 * @author Dimitris Andreou
 */
@NullUnmarked

        return s == that.s;
      }
      return false;
    }
  }

  static class WithStreamParameter {
    private final List<?> list;

    // This should be ignored.
    public WithStreamParameter(Stream<?> s, String str) {
      this.list = s.collect(Collectors.toList());
      checkNotNull(str);
    }
  }

  static class UsesReferentialEquality {

  }

  static final class KeySet<K> extends ImmutableSet<K> {
    private final transient ImmutableMap<K, ?> map;
    private final transient ImmutableList<K> list;

    KeySet(ImmutableMap<K, ?> map, ImmutableList<K> list) {
      this.map = map;
      this.list = list;
    }

    @Override
    public UnmodifiableIterator<K> iterator() {
      return asList().iterator();
    }

    @Override

///

`response_model` recibe el mismo tipo que declararías para un campo de modelo Pydantic, por lo que puede ser un modelo de Pydantic, pero también puede ser, por ejemplo, un `list` de modelos de Pydantic, como `List[Item]`.

FastAPI usará este `response_model` para hacer toda la documentación de datos, validación, etc. y también para **convertir y filtrar los datos de salida** a su declaración de tipo.

/// tip | Consejo

            break;
        }
        return null;
    }

    /**
     * Creates an HTML response for the list page with optional pre-processing.
     *
     * @param runnable optional runnable to execute before rendering (can be null)
     * @return HTML response for the search request list page
     */
    private HtmlResponse asListHtml(final Runnable runnable) {
        if (runnable != null) {