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  1. docs/pt/docs/tutorial/extra-data-types.md

        * O `Decimal` padrão do Python.
        * Em requisições e respostas será representado como um `float`.
    * Você pode checar todos os tipos de dados válidos do Pydantic aqui: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Tipos de dados do Pydantic</a>.
    
    ## 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"
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  2. docs/it/docs/index.md

    ---
    
    ## **Typer**, la FastAPI delle CLI
    
    <a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>
    
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  3. docs/ja/docs/tutorial/extra-data-types.md

    * `Decimal`:
        * Pythonの標準的な`Decimal`です。
        * リクエストやレスポンスでは`float`と同じように扱います。
    
    * Pydanticの全ての有効な型はこちらで確認できます: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>。
    ## 例
    
    ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。
    
    ```Python hl_lines="1 2 12-16"
    {!../../docs_src/extra_data_types/tutorial001.py!}
    ```
    
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  4. docs/em/docs/tutorial/extra-data-types.md

        * 🏗 🔗 🔜 ✔ 👈 ⚫️ `str` ⏮️ `binary` "📁".
    * `Decimal`:
        * 🐩 🐍 `Decimal`.
        * 📨 &amp; 📨, 🍵 🎏 `float`.
    * 👆 💪 ✅ 🌐 ☑ Pydantic 📊 🆎 📥: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic 📊 🆎</a>.
    
    ## 🖼
    
    📥 🖼 *➡ 🛠️* ⏮️ 🔢 ⚙️ 🔛 🆎.
    
    //// tab | 🐍 3️⃣.6️⃣ &amp; 🔛
    
    ```Python hl_lines="1  3  12-16"
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  5. docs/ko/docs/tutorial/extra-data-types.md

        * 생성된 스키마는 이것이 `binary` "형식"의 `str`임을 명시합니다.
    * `Decimal`:
        * 표준 파이썬의 `Decimal`.
        * 요청과 응답에서 `float`와 동일하게 다뤄집니다.
    * 여기에서 모든 유효한 pydantic 데이터 자료형을 확인할 수 있습니다: <a href="https://docs.pydantic.dev/latest/usage/types/types/" class="external-link" target="_blank">Pydantic 데이터 자료형</a>.
    
    ## 예시
    
    위의 몇몇 자료형을 매개변수로 사용하는 *경로 작동* 예시입니다.
    
    //// tab | Python 3.10+
    
    ```Python hl_lines="1  3  12-16"
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  6. cmd/setup-type.go

    package cmd
    
    // SetupType - enum for setup type.
    type SetupType int
    
    const (
    	// UnknownSetupType - starts with unknown setup type.
    	UnknownSetupType SetupType = iota
    
    	// FSSetupType - FS setup type enum.
    	FSSetupType
    
    	// ErasureSDSetupType - Erasure single drive setup enum.
    	ErasureSDSetupType
    
    	// ErasureSetupType - Erasure setup type enum.
    	ErasureSetupType
    
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  7. docs/nl/docs/index.md

    ---
    
    ## **Typer**, de FastAPI van CLIs
    
    <a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>
    
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  8. internal/grid/trace.go

    	// Should match SingleHandler.Call checks.
    	switch typed := v.(type) {
    	case *MSS:
    		trace.Path += typed.ToQuery()
    	case map[string]string:
    		m := MSS(typed)
    		trace.Path += m.ToQuery()
    	case *URLValues:
    		trace.Path += typed.Values().Encode()
    	case *NoPayload, *Bytes:
    		trace.Path = fmt.Sprintf("%s?payload=%T", trace.Path, typed)
    	case string:
    		trace.Path = fmt.Sprintf("%s?%s", trace.Path, typed)
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  9. tests/test_compat.py

        # TODO: in theory this would allow declaring types that could be lists of bytes
        # to be read from files and other types, but I'm not even sure it's a good idea
        # to support it as a first class "feature"
        assert is_bytes_sequence_annotation(Union[List[str], List[bytes]])
    
    
    def test_is_uploadfile_sequence_annotation():
        # For coverage
        # TODO: in theory this would allow declaring types that could be lists of UploadFile
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  10. docs/de/docs/alternatives.md

    Da die Parameter mit TypeScript-Typen beschrieben werden (ähnlich den Python-Typhinweisen), ist die Editorunterstützung ziemlich gut.
    
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