append("-----BEGIN CERTIFICATE-----\n")
    encodeBase64Lines(encoded.toByteString())
    append("-----END CERTIFICATE-----\n")
  }
}

internal fun StringBuilder.encodeBase64Lines(data: ByteString) {
  val base64 = data.base64()
  for (i in 0 until base64.length step 64) {
    append(base64, i, minOf(i + 64, base64.length)).append('\n')
  }

Exec Time:  /*pmb.webFsIndexExecTime:orElse('-')*/ ms
Num of Doc: /*pmb.webFsIndexSize:orElse('-')*/ docs

--- Data Store Crawler ---
Start Time: /*pmb.dataCrawlStartTime:orElse('-')*/
End Time:   /*pmb.dataCrawlEndTime:orElse('-')*/
Exec Time:  /*pmb.dataCrawlExecTime:orElse('-')*/ ms

--- Data Store Indexer ---
Exec Time:  /*pmb.dataIndexExecTime:orElse('-')*/ ms
Num of Doc: /*pmb.dataIndexSize:orElse('-')*/ docs

)

boto3_session = Session(botocore_session=bc_session)
s3 = boto3_session.resource('s3', endpoint_url='http://localhost:9000')

with open('/etc/hosts', 'rb') as data:
    s3.meta.client.upload_fileobj(data,
                                  'testbucket',
                                  'hosts',
                                  ExtraArgs={'ServerSideEncryption': 'AES256'})

		} else {
			var data []byte
			if data, err = json.Marshal(struct{ Records []event.Event }{[]event.Event{eventData}}); err != nil {
				return err
			}

			_, err = conn.Do("HSET", target.args.Key, key, data)
		}
		if err != nil {
			return err
		}
	}

	if target.args.Format == event.AccessFormat {

    if not user:
        return False
    if not verify_password(password, user.hashed_password):
        return False
    return user


def create_access_token(data: dict, expires_delta: Union[timedelta, None] = None):
    to_encode = data.copy()
    if expires_delta:
        expire = datetime.now(timezone.utc) + expires_delta
    else:
        expire = datetime.now(timezone.utc) + timedelta(minutes=15)

    * Autocompletamento.
    * Controllo sulle annotazioni di tipo.
* Validazione dei dati:
    * Errori chiari e automatici quando i dati sono invalidi.
    * Validazione anche per gli oggetti JSON più complessi.
* <abbr title="anche noto come: serializzazione, parsing, marshalling">Conversione</abbr> dei dati di input: da risorse esterne a dati e tipi di Python. È possibile leggere da:
    * JSON.
    * Path parameters.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

    /**
     * @param responseType
     * @return decoded data
     * @throws SmbException
     */
    @SuppressWarnings ( "unchecked" )
    public <T extends Decodable> T getOutputData ( Class<T> responseType ) throws SmbException {

        Decodable out = getOutputData();

        if ( out == null ) {
            throw new SmbException("Failed to decode output data");
        }

```sh
aws s3api put-object --bucket testbucket --key lockme --object-lock-mode GOVERNANCE --object-lock-retain-until-date "2019-11-20"  --body /etc/issue
```

object WebSocketProtocol {
  /** Magic value which must be appended to the key in a response header. */
  internal const val ACCEPT_MAGIC = "258EAFA5-E914-47DA-95CA-C5AB0DC85B11"

  /*
  Each frame starts with two bytes of data.

   0 1 2 3 4 5 6 7    0 1 2 3 4 5 6 7
  +-+-+-+-+-------+  +-+-------------+
  |F|R|R|R| OP    |  |M| LENGTH      |
  |I|S|S|S| CODE  |  |A|             |
  |N|V|V|V|       |  |S|             |