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  1. docs/ko/docs/tutorial/path-params.md

    `str`을 상속함으로써 API 문서는 값이 `string` 형이어야 하는 것을 알게 되고 이는 문서에 제대로 표시됩니다.
    
    가능한 값들에 해당하는 고정된 값의 클래스 어트리뷰트들을 만듭니다:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip | 팁
    
    혹시 궁금하다면, "AlexNet", "ResNet", 그리고 "LeNet"은 그저 머신 러닝 <dfn title="기술적으로는 딥 러닝 모델 아키텍처">모델</dfn>들의 이름입니다.
    
    ///
    
    ### *경로 매개변수* 선언 { #declare-a-path-parameter }
    
    생성한 열거형 클래스(`ModelName`)를 사용하는 타입 어노테이션으로 *경로 매개변수를* 만듭니다:
    
    Created: Sun Apr 05 07:19:11 GMT 2026
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  2. docs/en/docs/tutorial/path-params.md

    Then create class attributes with fixed values, which will be the available valid values:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip
    
    If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <dfn title="Technically, Deep Learning model architectures">models</dfn>.
    
    ///
    
    ### Declare a *path parameter* { #declare-a-path-parameter }
    
    Created: Sun Apr 05 07:19:11 GMT 2026
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  3. docs/zh-hant/docs/tutorial/path-params.md

    繼承自 `str` 之後,API 文件就能知道這些值的型別必須是 `string`,並能正確地呈現。
    
    然後建立具有固定值的類別屬性,這些就是可用的有效值:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip
    
    如果你在想,「AlexNet」、「ResNet」和「LeNet」只是一些機器學習 <dfn title="嚴格來說是深度學習的模型架構">模型</dfn> 的名字。
    
    ///
    
    ### 宣告一個「路徑參數」 { #declare-a-path-parameter }
    
    接著使用你建立的列舉類別(`ModelName`)作為型別註記,建立一個「路徑參數」:
    
    Created: Sun Apr 05 07:19:11 GMT 2026
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  4. docs/de/docs/tutorial/path-params.md

    Erstellen Sie dann Klassen-Attribute mit festgelegten Werten, welches die erlaubten Werte sein werden:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip | Tipp
    
    Falls Sie sich fragen, was „AlexNet“, „ResNet“ und „LeNet“ ist, das sind Namen von <dfn title="Genauer gesagt: Deep-Learning-Modellarchitekturen">Modellen</dfn> für maschinelles Lernen.
    
    ///
    
    ### Einen *Pfad-Parameter* deklarieren { #declare-a-path-parameter }
    Created: Sun Apr 05 07:19:11 GMT 2026
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  5. docs/es/docs/tutorial/path-params.md

    Luego crea atributos de clase con valores fijos, que serán los valores válidos disponibles:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip | Consejo
    
    Si te estás preguntando, "AlexNet", "ResNet" y "LeNet" son solo nombres de <dfn title="Técnicamente, arquitecturas de modelos de Deep Learning">modelos</dfn> de Machine Learning.
    
    ///
    
    ### Declarar un *path parameter* { #declare-a-path-parameter }
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 19 18:15:55 GMT 2026
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  6. docs/tr/docs/tutorial/path-params.md

    Sonra, kullanılabilir geçerli değerler olacak sabit değerli class attribute'ları oluşturun:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip | İpucu
    
    Merak ediyorsanız: "AlexNet", "ResNet" ve "LeNet", Makine Öğrenmesi <dfn title="Teknik olarak, Derin Öğrenme model mimarileri">modelleri</dfn>nin sadece isimleridir.
    
    ///
    
    ### Bir *Path Parameter* Tanımlayalım { #declare-a-path-parameter }
    
    Created: Sun Apr 05 07:19:11 GMT 2026
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  7. docs/uk/docs/tutorial/path-params.md

    Після цього створіть атрибути класу з фіксованими значеннями, які будуть доступними коректними значеннями:
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip | Порада
    
    Якщо вам цікаво, «AlexNet», «ResNet» та «LeNet» — це просто назви моделей машинного навчання <dfn title="Технічно, архітектури моделей глибокого навчання">моделі</dfn>.
    
    ///
    
    ### Оголосіть *параметр шляху* { #declare-a-path-parameter }
    
    Created: Sun Apr 05 07:19:11 GMT 2026
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  8. docs/fr/docs/tutorial/path-params.md

    Créez ensuite des attributs de classe avec des valeurs fixes, qui seront les valeurs valides disponibles :
    
    {* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}
    
    /// tip | Astuce
    
    Si vous vous demandez, « AlexNet », « ResNet » et « LeNet » sont juste des noms de <dfn title="Techniquement, architectures de modèles de Deep Learning">modèles</dfn> de Machine Learning.
    
    ///
    
    Created: Sun Apr 05 07:19:11 GMT 2026
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