// Return a new options object.
TF_CAPI_EXPORT extern TFE_ContextOptions* TFE_NewContextOptions(void);

// Set the config in TF_ContextOptions.options.
// config should be a serialized tensorflow.ConfigProto proto.
// If config was not parsed successfully as a ConfigProto, record the
// error information in *status.
TF_CAPI_EXPORT extern void TFE_ContextOptionsSetConfig(

    * Pydantic permet aussi de le représenter sous la forme d'un « encodage de différence de temps ISO 8601 », [voir la documentation pour plus d'informations](https://docs.pydantic.dev/latest/concepts/serialization/#custom-serializers).
* `frozenset` :
    * Dans les requêtes et les réponses, traité de la même manière qu'un `set` :
        * Dans les requêtes, une liste sera lue, les doublons éliminés, puis convertie en `set`.

		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		(*z) = BitrotAlgorithm(zb0001)
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BitrotAlgorithm) Msgsize() (s int) {
	s = msgp.UintSize
	return
}

// DecodeMsg implements msgp.Decodable
func (z *ChecksumInfo) DecodeMsg(dc *msgp.Reader) (err error) {
	var field []byte

    private static final Logger logger = LogManager.getLogger(FessStandardTransformer.class);

    /**
     * Initializes the transformer after dependency injection.
     * Sets up the Fess configuration and data serializer components.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initializing {}", this.getClass().getSimpleName());
        }

```

</div>

Sonra `/docs` arayüzüne gidin; **FastAPI**’nin API’yi **dokümante etmek** için bu **modelleri** kullandığını göreceksiniz. Ayrıca veriyi **serialize** ve **validate** etmek için de onları kullanacaktır.

<div class="screenshot">
<img src="/img/tutorial/sql-databases/image01.png">
</div>

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobReplicateCredentials) Msgsize() (s int) {
	s = 1 + 10 + msgp.StringPrefixSize + len(z.AccessKey) + 10 + msgp.StringPrefixSize + len(z.SecretKey) + 13 + msgp.StringPrefixSize + len(z.SessionToken)
	return

		if err != nil {
			err = msgp.WrapError(err, zb0001)
			return
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z BatchJobPrefix) Msgsize() (s int) {
	s = msgp.ArrayHeaderSize
	for zb0003 := range z {
		s += msgp.StringPrefixSize + len(z[zb0003])
	}
	return
}

// DecodeMsg implements msgp.Decodable

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z AccElem) Msgsize() (s int) {
	s = 1 + 6 + msgp.Int64Size + 5 + msgp.Int64Size + 2 + msgp.Int64Size
	return
}

// DecodeMsg implements msgp.Decodable

Y por supuesto, puedes usar el mismo modelo configurado para usar base64 para manejar tanto la entrada (*validate*) con `val_json_bytes` como la salida (*serialize*) con `ser_json_bytes` al recibir y enviar datos JSON.

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BatchJobExpire) Msgsize() (s int) {