*   Tracing/timeline support for distributed runtime (no GPU profiler yet).
*   C API gives access to inferred shapes with `TF_GraphGetTensorNumDims` and
    `TF_GraphGetTensorShape`.
*   Shape functions for core ops have moved to C++ via
    `REGISTER_OP(...).SetShapeFn(...)`. Python shape inference RegisterShape
    calls use the C++ shape functions with `common_shapes.call_cpp_shape_fn`. A
    future release will remove `RegisterShape` from python.

"optimum","part","pattern","placeholder","playsinline","popover","popovertarget","popovertargetaction","poster","preload","pubdate","radiogroup","readonly","rel","required","rev","reversed","role","rows","rowspan","spellcheck","scope","selected","shape","size","sizes","slot","span","srclang","start","src","srcset","step","style","summary","tabindex","title","translate","type","usemap","valign","value","width","wrap","xmlns","slot"]),P=i(["accent-height","accumulate","additive","alignment-baselin...

"`one_person`, `Person` adlı **class**'tır" anlamına gelmez.

## Pydantic modelleri { #pydantic-models }

[Pydantic](https://docs.pydantic.dev/), data validation yapmak için bir Python kütüphanesidir.

Verinin "shape"'ini attribute'lara sahip sınıflar olarak tanımlarsınız.

Ve her attribute'un bir tipi vardır.

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Den `username` und das Format der Daten überprüfen { #verify-the-username-and-data-shape }

Wir verifizieren, dass wir einen `username` erhalten, und extrahieren die Scopes.

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## `username` ve veri şeklinin doğrulanması { #verify-the-username-and-data-shape }

Bir `username` aldığımızı doğruluyoruz ve scope'ları çıkarıyoruz.

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Проверка `username` и формата данных { #verify-the-username-and-data-shape }

Мы проверяем, что получили `username`, и извлекаем scopes.

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Перевірте `username` і структуру даних { #verify-the-username-and-data-shape }

Ми перевіряємо, що отримали `username`, і видобуваємо scopes.

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Verifique o `username` e o formato dos dados { #verify-the-username-and-data-shape }

Nós verificamos que nós obtemos um `username`, e extraímos os escopos.

) -> list[str]:
    """
    Update each code block in `text` with the corresponding code block from
    `original_code_blocks` with comments taken from `code_blocks`.

    Raises ValueError if the number, language, or shape of code blocks do not match.
    """

    if len(code_blocks) != len(original_code_blocks):
        raise ValueError(
            "Number of code blocks does not match the number in the original document "

在这个异常中，我们包含所需的作用域（如果有的话），以空格分隔的字符串（使用 `scope_str`）。我们把这个包含作用域的字符串放在 `WWW-Authenticate` 响应头中（这是规范要求的一部分）。

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## 校验 `username` 与数据形状 { #verify-the-username-and-data-shape }

我们校验是否获取到了 `username`，并提取作用域。

然后使用 Pydantic 模型验证这些数据（捕获 `ValidationError` 异常），如果读取 JWT 令牌或用 Pydantic 验证数据时出错，就抛出我们之前创建的 `HTTPException`。

为此，我们给 Pydantic 模型 `TokenData` 添加了一个新属性 `scopes`。