* <abbr title="Mozilla Developer Network - Red de Desarrolladores de Mozilla: documentación para desarrolladores, escrita por la gente de Firefox">MDN</abbr>
* <abbr title="Input/Output - Entrada/Salida: lectura o escritura de disco, comunicaciones de red.">I/O</abbr>.

////

//// tab | Info

Los atributos "title" de los elementos "abbr" se traducen siguiendo instrucciones específicas.

/// info | 정보

`open()` 함수에서 `mode="a"`는 "append"(추가)를 의미하므로, 기존 내용을 덮어쓰지 않고 파일에 있던 내용 뒤에 줄이 추가됩니다.

///

/// tip | 팁

이 경우에는 파일과 상호작용하는 표준 파이썬 `open()` 함수를 사용하고 있습니다.

따라서 I/O(input/output)가 포함되어 있어 디스크에 기록되는 것을 "기다리는" 과정이 필요합니다.

하지만 `open()`은 `async`와 `await`를 사용하지 않습니다.

그래서 이벤트 핸들러 함수는 `async def` 대신 표준 `def`로 선언합니다.

///

* <abbr title="Mozilla Developer Network - Réseau des développeurs Mozilla: documentation pour les développeurs, écrite par l’équipe Firefox">MDN</abbr>
* <abbr title="Input/Output - Entrée/Sortie: lecture ou écriture sur le disque, communications réseau.">I/O</abbr>.

////

//// tab | Info

Les attributs « title » des éléments « abbr » sont traduits en suivant des consignes spécifiques.

    Function<String, Integer> stringLengthFunction =
        new Function<String, Integer>() {
          @Override
          public Integer apply(String input) {
            return input.length();
          }
        };

    Multimap<Integer, String> index = Multimaps.index(badGuys, stringLengthFunction);

    assertEquals(expectedIndex, index);
  }

	}
	return false
}

// gatherResults will collect all results on the input channel and filter results according
// to the options or to the current bucket ILM expiry rules.
// Caller should close the channel when done.
// The returned function will return the results once there is enough or input is closed,
// or the context is canceled.

const char* TFE_OpGetDevice(const TFE_Op* op, TF_Status* status) {
  return tensorflow::unwrap(op)->DeviceName().c_str();
}

void TFE_OpAddInput(TFE_Op* op, TFE_TensorHandle* input, TF_Status* status) {
  status->status = tensorflow::unwrap(op)->AddInput(tensorflow::unwrap(input));
}

void TFE_OpAddInputList(TFE_Op* op, TFE_TensorHandle** inputs, int num_inputs,
                        TF_Status* status) {

ion-S3-Sealed-Key":"IAAfAMjAucmcF9T61NeS/Y8R2boGqxdQTuXjxDOCe/fFs3/YhxPQ==","X-Minio-Internal-Server-Side-Encryption-Seal-Algorithm":"DAREv2-HMAC-SHA256","content-type":"text/plain"}},{"Bucket":"buck1","Name":"go_113/src/cmd/gofmt/testdata/stdin4.input","UserDef":{"X-Minio-Internal-Server-Side-Encryption-Iv":"UHLuHL2zRUItJLVeKZd2=","X-Minio-Internal-Server-Side-Encryption-S3-Kms-Key-Id":"my-minio-key","X-Minio-Internal-Server-Side-Encryption-S3-Kms-Sealed-Key":"IAAfAOfiHlthCSwXlGz2/3gt+60kdTHSc8...

## Retorne os mesmos dados de entrada { #return-the-same-input-data }

Aqui estamos declarando um modelo `UserIn`, ele conterá uma senha em texto simples:

{* ../../docs_src/response_model/tutorial002_py310.py hl[7,9] *}

/// info | Informação

            }
        }
        return params;
    }

    /**
     * Get the extracted data.
     * @param extractor The extractor.
     * @param in The input stream.
     * @param params The parameters.
     * @return The extracted data.
     */
    protected ExtractData getExtractData(final Extractor extractor, final InputStream in, final Map<String, String> params) {

@SuppressWarnings("serial") // we're overriding default serialization
public abstract class ImmutableMultiset<E> extends ImmutableCollection<E> implements Multiset<E> {

  /**
   * Returns a {@code Collector} that accumulates the input elements into a new {@code
   * ImmutableMultiset}. Elements iterate in order by the <i>first</i> appearance of that element in
   * encounter order.
   *
   * @since 21.0
   */