}

// Returns streaming bitrot reader implementation.
func newStreamingBitrotReader(disk StorageAPI, data []byte, volume, filePath string, tillOffset int64, algo BitrotAlgorithm, shardSize int64) *streamingBitrotReader {
	h := algo.New()
	return &streamingBitrotReader{
		disk:       disk,
		data:       data,
		volume:     volume,
		filePath:   filePath,

        List<String[]> data = new ArrayList<>();
        String k = null;
        for (String line : Files.readAllLines(Paths.get("src/test/resources/dag.txt"))) {
            if (line.startsWith("\t")) {
                data.add(new String[] {k, line.trim()});
            } else {
                k = line;
            }
        }
        Collections.shuffle(data);

        Graph g = new Graph();

    }
    return suite;
  }

  private ByteSink sink;

  ByteSinkTester(
      ByteSinkFactory factory, byte[] data, String suiteName, String caseDesc, Method method) {
    super(factory, data, suiteName, caseDesc, method);
  }

  @Override
  protected void setUp() throws Exception {
    sink = factory.createSink();
  }

    }
    return suite;
  }

  private ByteSink sink;

  ByteSinkTester(
      ByteSinkFactory factory, byte[] data, String suiteName, String caseDesc, Method method) {
    super(factory, data, suiteName, caseDesc, method);
  }

  @Override
  protected void setUp() throws Exception {
    sink = factory.createSink();
  }

`UploadFile` tem os seguintes métodos `assíncronos`. Todos eles chamam os métodos de arquivo correspondentes por baixo dos panos (usando o `SpooledTemporaryFile` interno).

* `write(data)`: Escreve `data` (`str` ou `bytes`) no arquivo.
* `read(size)`: Lê `size` (`int`) bytes/caracteres do arquivo.
* `seek(offset)`: Vai para o byte na posição `offset` (`int`) no arquivo.

      rm -rf "libc6_2.17-0ubuntu5.1_amd64.deb" "libc6_2.17-0ubuntu5.1_amd64"
  # Download binary glibc 2.17 development library release.
  wget "http://old-releases.ubuntu.com/ubuntu/pool/main/e/eglibc/libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      unar "libc6-dev_2.17-0ubuntu5.1_amd64.deb" && \
      tar -C "${TARGET}" -xvzf "libc6-dev_2.17-0ubuntu5.1_amd64/data.tar.gz" && \

# List zip contents
response = s3.list_objects_v2(Bucket="your-bucket", Prefix="path/to/file.zip/")
print(response)

# Download data.csv stored in the zip file

	return ARN{TargetID: tid, region: region}
}

// MarshalJSON - encodes to JSON data.
func (tid TargetID) MarshalJSON() ([]byte, error) {
	return json.Marshal(tid.String())
}

// UnmarshalJSON - decodes JSON data.
func (tid *TargetID) UnmarshalJSON(data []byte) error {
	var s string
	if err := json.Unmarshal(data, &s); err != nil {
		return err
	}

	targetID, err := parseTargetID(s)
	if err != nil {

            raise WebSocketException(code=status.WS_1008_POLICY_VIOLATION)
        await websocket.accept()
        while True:
            data = await websocket.receive_text()
            await websocket.send_text(f"Session cookie is: {session}")
            await websocket.send_text(f"Message text was: {data}, for item ID: {item_id}")
    ```
    """

    def __init__(
        self,
        code: Annotated[
            int,

Los modelos Pydantic tienen un método `.dict()` que devuelve un `dict` con los datos del modelo.

Así que, si creamos un objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

y luego llamamos a:

```Python
user_dict = user_in.dict()
```

ahora tenemos un `dict` con los datos en la variable `user_dict` (es un `dict` en lugar de un objeto modelo Pydantic).