}
        out.writeByte(value)
      }

      @Throws(IOException::class)
      fun writeByteString(data: ByteString) {
        if (useCompression && Huffman.encodedLength(data) < data.size) {
          val huffmanBuffer = Buffer()
          Huffman.encode(data, huffmanBuffer)
          val huffmanBytes = huffmanBuffer.readByteString()
          writeInt(huffmanBytes.size, PREFIX_7_BITS, 0x80)

     */
    static void E ( byte[] key, byte[] data, byte[] e ) throws ShortBufferException {
        byte[] key7 = new byte[7];
        byte[] e8 = new byte[8];

        for ( int i = 0; i < key.length / 7; i++ ) {
            System.arraycopy(key, i * 7, key7, 0, 7);
            Cipher des = Crypto.getDES(key7);
            des.update(data, 0, data.length, e8);
            System.arraycopy(e8, 0, e, i * 8, 8);

import okio.ByteString

/**
 * Representation of an individual case (set of headers and wire format). There are many cases for a
 * single story.  This class is used reflectively with Moshi to parse stories.
 */
data class Case(
  val seqno: Int = 0,
  val wire: ByteString? = null,
  val headers: List<Map<String, String>>,
) : Cloneable {
  val headersList: List<Header>
    get() {
      val result = mutableListOf<Header>()

```

////

//// tab | Python 3.8+

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial012_an.py!}
```

////

//// tab | Python 3.8 non-Annotated

/// tip | "Dica"

Utilize a versão com `Annotated` se possível.

///

```Python hl_lines="15"
{!> ../../docs_src/dependencies/tutorial012.py!}
```

////

type ReaderArgs struct {
	unmarshaled bool
}

// IsEmpty - returns whether reader args is empty or not.
func (args *ReaderArgs) IsEmpty() bool {
	return !args.unmarshaled
}

// UnmarshalXML - decodes XML data.
func (args *ReaderArgs) UnmarshalXML(d *xml.Decoder, start xml.StartElement) error {
	// Make subtype to avoid recursive UnmarshalXML().
	type subReaderArgs ReaderArgs
	parsedArgs := subReaderArgs{}

ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS

  //
  // +optional
  optional string signerName = 1;

  // trustBundle contains the individual X.509 trust anchors for this
  // bundle, as PEM bundle of PEM-wrapped, DER-formatted X.509 certificates.
  //
  // The data must consist only of PEM certificate blocks that parse as valid
  // X.509 certificates.  Each certificate must include a basic constraints
  // extension with the CA bit set.  The API server will reject objects that

def pdm_build_initialize(context: Context) -> None:
    metadata = context.config.metadata
    # Get custom config for the current package, from the env var
    config: Dict[str, Any] = context.config.data["tool"]["tiangolo"][
        "_internal-slim-build"
    ]["packages"].get(TIANGOLO_BUILD_PACKAGE)
    if not config:
        return
    project_config: Dict[str, Any] = config["project"]

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.survey.types

data class Client(
  val userAgent: String,
  val version: String,
  val platform: String? = null,
  val enabled: List<SuiteId> = listOf(),
  val supported: List<SuiteId> = listOf(),
) {
  val nameAndVersion: String

Ça, ajouté au fait que Python soit le langage le plus populaire pour la **Data Science**, le **Machine Learning** et surtout le **Deep Learning**, font de **FastAPI** un très bon choix pour les APIs et applications de **Data Science** / **Machine Learning**.