`max_batch_size` for building TensorRT engines. Add parameters
        `use_dynamic_shape` to enable dynamic shape support. The default is to
        disable dynamic shape support. Add `dynamic_shape_profile_strategy` for
        selecting a dynamic shape profile strategy. The default is profile
        strategy is `Range`.
    *   Issue a warning when function get_tensorrt_rewriter_config is used.

"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...

This schema definition includes your API paths, the possible parameters they take, etc.

#### Data "schema" { #data-schema }

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema { #openapi-and-json-schema }

) -> 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 "

For example, if you declare a parameter of type `Hero`, it will be read from the **JSON body**.

The same way, you can declare it as the function's **return type**, and then the shape of the data will show up in the automatic API docs UI.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[40:45] hl[40:45] *}

在這個例外中，我們把所需的 scopes（若有）以空白分隔的字串形式（透過 `scope_str`）加入，並將該包含 scopes 的字串放在 `WWW-Authenticate` 標頭中（這是規格的一部分）。

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

## 驗證 `username` 與資料結構 { #verify-the-username-and-data-shape }

我們先確認取得了 `username`，並取出 scopes。

接著用 Pydantic 模型驗證這些資料（捕捉 `ValidationError` 例外），若在讀取 JWT token 或用 Pydantic 驗證資料時出錯，就丟出先前建立的 `HTTPException`。

為此，我們更新了 Pydantic 模型 `TokenData`，加入新屬性 `scopes`。

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`。

この例外には、要求されたスコープがあればそれらを空白区切りの文字列（`scope_str` を使用）として含めます。このスコープ文字列は `WWW-Authenticate` ヘッダに入れます（仕様の一部です）。

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

## `username` とデータ構造の検証 { #verify-the-username-and-data-shape }

`username` を取得できていることを確認し、スコープを取り出します。

そして、そのデータを Pydantic モデルで検証します（`ValidationError` 例外を捕捉）。JWT トークンの読み取りや Pydantic によるデータ検証でエラーが発生した場合は、先ほど作成した `HTTPException` を送出します。

"`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.