### Pydantic- und FastAPI-`examples`

Wenn Sie `examples` innerhalb eines Pydantic-Modells hinzufügen, indem Sie `schema_extra` oder `Field(examples=["something"])` verwenden, wird dieses Beispiel dem **JSON-Schema** für dieses Pydantic-Modell hinzugefügt.

Und dieses **JSON-Schema** des Pydantic-Modells ist in der **OpenAPI** Ihrer API enthalten und wird dann in der Benutzeroberfläche der Dokumentation verwendet.

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Sadece modern Python

Tamamiyle standartlar **Python 3.8**'nın type hintlerine dayanıyor (Pydantic'in sayesinde). Yeni bir syntax öğrenmene gerek yok. Sadece modern Python.

* Walidacja **złożonych struktur**:
    * Wykorzystanie hierarchicznych modeli Pydantic, Pythonowego modułu `typing` zawierającego `List`, `Dict`, itp.
    * Walidatory umożliwiają jasne i łatwe definiowanie, sprawdzanie złożonych struktur danych oraz dokumentowanie ich jako JSON Schema.

platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-kotlin-dsl-maintainers

# Core automation platform (Declarative DSL)
platforms/core-configuration/declarative-dsl-api/                   @gradle/bt-declarative-dsl

import binascii
from base64 import b64decode
from typing import Optional

from fastapi.exceptions import HTTPException
from fastapi.openapi.models import HTTPBase as HTTPBaseModel
from fastapi.openapi.models import HTTPBearer as HTTPBearerModel
from fastapi.security.base import SecurityBase
from fastapi.security.utils import get_authorization_scheme_param
from pydantic import BaseModel
from starlette.requests import Request

  if (tags) {
    return errors::Unimplemented(
        "Loading saved models with explicit tags will be supported in the "
        "future");
  }

  SavedModelV2Bundle bundle;
  TF_RETURN_IF_ERROR(SavedModelV2Bundle::Load(directory, &bundle));

  // TODO(bmzhao): Mangle loaded function names so that different
  // models loaded in the same runtime Context don't clobber eachother.
  // This occurs in python here:

    * Przetwarzanie Pythonowych typów (`str`, `int`, `float`, `bool`, `list`, itp).
    * Obiekty `datetime`.
    * Obiekty `UUID`.
    * Modele baz danych.
    * ...i wiele więcej.
* Automatyczne interaktywne dokumentacje API, wliczając 2 alternatywne interfejsy użytkownika:
    * Swagger UI.
    * ReDoc.

---

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)

    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

!!! info
    Eine ausführlichere Erklärung von `**user_dict` finden Sie in [der Dokumentation für **Extra Modelle**](../extra-models.md#uber-user_indict){.internal-link target=_blank}.

## Den Token zurückgeben

Die Response des `token`-Endpunkts muss ein JSON-Objekt sein.

// Creates a pass that converts TPU models for CPU by removing TPU related ops
// such as TPUPartitionedCall, TPUReplicatedOp, etc. The TF quantizer does not
// work with models specifically designed for TPU, so this pass makes the input
// TPU model compatible with the TF quantizer by rewriting the TPU ops. The
// output model of this pass is expected to be ready for the TF quantizer.