assertThat(buffer.readByteString()).isEqualTo("A20743054A6F6E6573".decodeHex())
  }

  @Test fun `decode implicit tagged implicit prefixed type`() {
    // Type1 ::= VisibleString
    // Type2 ::= [APPLICATION 3] IMPLICIT Type1
    // Type3 ::= [2] Type2
    // Type4 ::= [APPLICATION 7] IMPLICIT Type3
    val buffer =
      Buffer()
        .write("670743054A6F6E6573".decodeHex())

    val derReader = DerReader(buffer)

同じタイミングで`Ctrl+Space`で自動補完を実行すると、以下のようになります:

<img src="https://fastapi.tiangolo.com/img/python-types/image02.png">

これであれば、あなたは「ベルを鳴らす」一つを見つけるまで、オプションを見て、スクロールすることができます:

<img src="https://fastapi.tiangolo.com/img/python-types/image03.png">

## より強い動機

この関数を見てください。すでに型ヒントを持っています:

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial003.py!}
```

エディタは変数の型を知っているので、補完だけでなく、エラーチェックをすることもできます。

* You can check all the valid pydantic data types here: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic data types</a>.

## Example

Here's an example *path operation* with parameters using some of the above types.

=== "Python 3.10+"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

http://127.0.0.1:8000/items/?skip=0&limit=10
```

... die Query-Parameter:

* `skip`: mit dem Wert `0`
* `limit`: mit dem Wert `10`

Da sie Teil der URL sind, sind sie „naturgemäß“ Strings.

Aber wenn Sie sie mit Python-Typen deklarieren (im obigen Beispiel als `int`), werden sie zu diesem Typ konvertiert, und gegen diesen validiert.

Die gleichen Prozesse, die für Pfad-Parameter stattfinden, werden auch auf Query-Parameter angewendet:

<img src="/img/python-types/image02.png">

⏮️ 👈, 👆 💪 📜, 👀 🎛, ⏭ 👆 🔎 1️⃣ 👈 "💍 🔔":

<img src="/img/python-types/image03.png">

## 🌅 🎯

✅ 👉 🔢, ⚫️ ⏪ ✔️ 🆎 🔑:

```Python hl_lines="1"
{!../../../docs_src/python_types/tutorial003.py!}
```

↩️ 👨‍🎨 💭 🆎 🔢, 👆 🚫 🕴 🤚 🛠️, 👆 🤚 ❌ ✅:

<img src="/img/python-types/image04.png">

- Server-side encryption - The Select API supports querying objects that are protected with server-side encryption.

Type inference and automatic conversion of values is performed based on the context when the value is un-typed (such as when reading CSV data). If present, the CAST function overrides automatic conversion.

## Exemplo

Aqui está um exemplo de *operação de rota* com parâmetros utilizando-se de alguns dos tipos acima.

```Python hl_lines="1  3  12-16"
{!../../../docs_src/extra_data_types/tutorial001.py!}
```

## Пример

Вот пример *операции пути* с параметрами, который демонстрирует некоторые из вышеперечисленных типов.

=== "Python 3.8 и выше"

    ```Python hl_lines="1  3  12-16"
    {!> ../../../docs_src/extra_data_types/tutorial001.py!}
    ```

=== "Python 3.10 и выше"

    {!> ../../../docs_src/extra_data_types/tutorial001_an_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="1  3  13-17"
    {!> ../../../docs_src/extra_data_types/tutorial001_an.py!}
    ```

=== "Python 3.10+ non-Annotated"

    !!! tip
        Бажано використовувати `Annotated` версію, якщо це можливо.

    ```Python hl_lines="1  2  11-15"
    {!> ../../../docs_src/extra_data_types/tutorial001_py310.py!}
    ```

        override val diagnosticClass get() = IncompatibleTypes::class
        val typeA: KtType
        val typeB: KtType
    }

    interface IncompatibleTypesWarning : KtFirDiagnostic<KtElement> {
        override val diagnosticClass get() = IncompatibleTypesWarning::class
        val typeA: KtType
        val typeB: KtType
    }

    interface TypeVarianceConflictError : KtFirDiagnostic<PsiElement> {