To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
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      file or class name and description of purpose be included on the

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      file or class name and description of purpose be included on the

        this.sessionId = sessionId;
    }

    @Override
    public int size() {
        return TRANSFORM_HEADER_SIZE;
    }

    @Override
    public int encode(final byte[] dst, int dstIndex) {
        final int start = dstIndex;

        // Protocol ID
        SMBUtil.writeInt4(TRANSFORM_PROTOCOL_ID, dst, dstIndex);
        dstIndex += 4;

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
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      file or class name and description of purpose be included on the

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      file or class name and description of purpose be included on the

        @Override
        public int decode(byte[] buffer, int bufferIndex) throws SMBProtocolDecodingException {
            return 0;
        }

        @Override
        public int encode(byte[] dst, int dstIndex) {
            return 0;
        }

        @Override
        public void setDigest(SMBSigningDigest digest) {
        }

        @Override

		for i, disk := range disks {
			writers[i] = newBitrotWriter(disk, "", "testbucket", "testobject", erasure.ShardFileSize(test.size), test.algorithm, erasure.ShardSize())
		}
		_, err = erasure.Encode(t.Context(), bytes.NewReader(data), writers, buffer, erasure.dataBlocks+1)
		closeBitrotWriters(writers)
		if err != nil {
			t.Fatalf("Test %d: failed to create random test data: %v", i, err)
		}

Si tienes un modelo de Pydantic en tu prueba y quieres enviar sus datos a la aplicación durante las pruebas, puedes usar el `jsonable_encoder` descrito en [Codificador Compatible con JSON](encoder.md).

///

## Ejecútalo { #run-it }

Después de eso, solo necesitas instalar `pytest`.

Asegúrate de crear un [entorno virtual](../virtual-environments.md), activarlo y luego instalarlo, por ejemplo:

因為這種情況下函式不是 async，正確的回傳型別會是 `Iterable[Item]`：

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[27:30] hl[28] *}

### 不宣告回傳型別 { #no-return-type }

你也可以省略回傳型別。此時 FastAPI 會使用 [`jsonable_encoder`](./encoder.md) 將資料轉換為可序列化為 JSON 的形式，然後以 JSON Lines 傳送。

{* ../../docs_src/stream_json_lines/tutorial001_py310.py ln[33:36] hl[34] *}

## 伺服器推播事件（SSE） { #server-sent-events-sse }

由于此时函数不是 async，正确的返回类型应为 `Iterable[Item]`：

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[28:31] hl[29] *}

### 无返回类型 { #no-return-type }

你也可以省略返回类型。FastAPI 将使用 [`jsonable_encoder`](./encoder.md) 转换数据并发送。

{* ../../docs_src/server_sent_events/tutorial001_py310.py ln[34:37] hl[35] *}

## `ServerSentEvent` { #serversentevent }