# OWNER_LIST: Zalim.Bashorov
# OWNER_LIST: Ilya.Goncharov Artem.Kobzar
# OWNER_LIST: Simon.Ogorodnik Stanislav.Erokhin
# OWNER_LIST: Alexander.Shabalin Aleksei.Glushko Sergey.Bogolepov Svyatoslav.Scherbina
# OWNER_LIST: Brian.Norman
# OWNER_LIST: Sergej.Jaskiewicz
# OWNER_LIST: Wojciech.Litewka
# Kotlin Libraries
# OWNER_LIST: A.Qurbonzoda Vsevolod.Tolstopyato Ilya.Gorbunov Sergey.Shanshin Leonid.Startsev Filipp.Zhinkin

`tf.keras`:

* `datetime.date`:
    * Python `datetime.date`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15`.
* `datetime.time`:
    * A Python `datetime.time`.
    * In requests and responses will be represented as a `str` in ISO 8601 format, like: `14:23:55.003`.
* `datetime.timedelta`:

!!! note
    If you use a response class with no media type, FastAPI will expect your response to have no content, so it will not document the response format in its generated OpenAPI docs.

## Use `ORJSONResponse`

### Other utility functions

Any other utility function that you call directly can be created with normal `def` or `async def` and FastAPI won't affect the way you call it.

You also need to run `mvn clean verify` with Java 8 before committing changes.

If you have ktlint errors, you can automatically fix them by running `mvn com.github.gantsign.maven:ktlint-maven-plugin:1.1.1:format`.

## How the configuration works

We use Kotlin portable DSL to store TeamCity configuration, which means you can easily create a new pipeline

| `license_info` | `dict` | Die Lizenzinformationen für die verfügbar gemachte API. Kann mehrere...

import java.io.IOException
import java.util.concurrent.locks.ReentrantLock
import java.util.logging.Level.FINE
import java.util.logging.Logger
import okhttp3.internal.connection.Locks.withLock
import okhttp3.internal.format
import okhttp3.internal.http2.Http2.CONNECTION_PREFACE
import okhttp3.internal.http2.Http2.FLAG_ACK
import okhttp3.internal.http2.Http2.FLAG_END_HEADERS
import okhttp3.internal.http2.Http2.FLAG_END_STREAM

{!../../../docs_src/path_operation_advanced_configuration/tutorial006.py !}
```

Dans cet exemple, nous n'avons déclaré aucun modèle Pydantic. En fait, le corps de la requête n'est même pas <abbr title="converti d'un format simple, comme des octets, en objets Python">parsé</abbr> en tant que JSON, il est lu directement en tant que `bytes`, et la fonction `magic_data_reader()` serait chargé de l'analyser d'une manière ou d'une autre.

  // +optional
  optional Time time = 4;

  // FieldsType is the discriminator for the different fields format and version.
  // There is currently only one possible value: "FieldsV1"
  optional string fieldsType = 6;

  // FieldsV1 holds the first JSON version format as described in the "FieldsV1" type.
  // +optional
  optional FieldsV1 fieldsV1 = 7;