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  1. src/test/java/org/codelibs/fess/score/LtrQueryRescorerTest.java

            Map<String, Object> params = new HashMap<>();
            params.put("param", "value");
    
            // First call with model name
            ComponentUtil.setFessConfig(new FessConfig.SimpleImpl() {
                @Override
                public String getLtrModelName() {
                    return "model1";
                }
    
                @Override
                public int getLtrWindowSize() {
                    return 50;
    Registered: Thu Sep 04 12:52:25 UTC 2025
    - Last Modified: Tue Aug 19 14:09:36 UTC 2025
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  2. tests/migrate_test.go

    			}
    		},
    	}
    	session := DB.Session(&gorm.Session{Logger: tracer})
    
    	DB.Migrator().DropTable(model1)
    	var modifySql []string
    	if err := session.AutoMigrate(model1); err != nil {
    		t.Fatalf("failed to auto migrate, got error: %v", err)
    	}
    	if err := session.AutoMigrate(model1); err != nil {
    		t.Fatalf("failed to auto migrate, got error: %v", err)
    	}
    	tracer2 := Tracer{
    Registered: Sun Sep 07 09:35:13 UTC 2025
    - Last Modified: Wed Aug 20 04:51:17 UTC 2025
    - 65.2K bytes
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  3. docs/en/docs/tutorial/extra-models.md

    # Extra Models { #extra-models }
    
    Continuing with the previous example, it will be common to have more than one related model.
    
    This is especially the case for user models, because:
    
    * The **input model** needs to be able to have a password.
    * The **output model** should not have a password.
    * The **database model** would probably need to have a hashed password.
    
    /// danger
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:15:41 UTC 2025
    - 7.2K bytes
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  4. docs/en/docs/tutorial/response-model.md

    ## See it in the docs { #see-it-in-the-docs }
    
    When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema:
    
    <img src="/img/tutorial/response-model/image01.png">
    
    And both models will be used for the interactive API documentation:
    
    <img src="/img/tutorial/response-model/image02.png">
    
    ## Other Return Type Annotations { #other-return-type-annotations }
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:15:41 UTC 2025
    - 16K bytes
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  5. docs/en/docs/tutorial/query-param-models.md

    # Query Parameter Models { #query-parameter-models }
    
    If you have a group of **query parameters** that are related, you can create a **Pydantic model** to declare them.
    
    This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
    
    /// note
    
    This is supported since FastAPI version `0.115.0`. 🤓
    
    ///
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:15:41 UTC 2025
    - 2.2K bytes
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  6. docs/en/docs/tutorial/cookie-param-models.md

    # Cookie Parameter Models { #cookie-parameter-models }
    
    If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪
    
    This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎
    
    /// note
    
    This is supported since FastAPI version `0.115.0`. 🤓
    
    ///
    
    /// tip
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:15:41 UTC 2025
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  7. docs/es/docs/tutorial/header-param-models.md

    # Modelos de Parámetros de Header
    
    Si tienes un grupo de **parámetros de header** relacionados, puedes crear un **modelo Pydantic** para declararlos.
    
    Esto te permitirá **reutilizar el modelo** en **múltiples lugares** y también declarar validaciones y metadatos para todos los parámetros al mismo tiempo. 😎
    
    /// note | Nota
    
    Esto es compatible desde la versión `0.115.0` de FastAPI. 🤓
    
    ///
    
    ## Parámetros de Header con un Modelo Pydantic
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Mon Dec 30 18:26:57 UTC 2024
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  8. docs/pt/docs/tutorial/header-param-models.md

    # Modelos de Parâmetros do Cabeçalho
    
    Se você possui um grupo de **parâmetros de cabeçalho** relacionados, você pode criar um **modelo do Pydantic** para declará-los.
    
    Isso vai lhe permitir **reusar o modelo** em **múltiplos lugares** e também declarar validações e metadadados para todos os parâmetros de uma vez. 😎
    
    /// note | Nota
    
    Isso é possível desde a versão `0.115.0` do FastAPI. 🤓
    
    ///
    
    ## Parâmetros do Cabeçalho com um Modelo Pydantic
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Mon Nov 18 02:25:44 UTC 2024
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  9. docs/pt/docs/tutorial/response-model.md

    ## Veja na documentação
    
    Quando você vê a documentação automática, pode verificar se o modelo de entrada e o modelo de saída terão seus próprios esquemas JSON:
    
    <img src="/img/tutorial/response-model/image01.png">
    
    E ambos os modelos serão usados ​​para a documentação interativa da API:
    
    <img src="/img/tutorial/response-model/image02.png">
    
    ## Outras anotações de tipo de retorno
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Tue Nov 26 22:51:05 UTC 2024
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  10. docs/es/docs/tutorial/query-param-models.md

    # Modelos de Parámetros Query
    
    Si tienes un grupo de **parámetros query** que están relacionados, puedes crear un **modelo de Pydantic** para declararlos.
    
    Esto te permitiría **reutilizar el modelo** en **múltiples lugares** y también declarar validaciones y metadatos para todos los parámetros de una vez. 😎
    
    /// note | Nota
    
    Esto es compatible desde la versión `0.115.0` de FastAPI. 🤓
    
    ///
    
    ## Parámetros Query con un Modelo Pydantic
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Mon Dec 30 18:26:57 UTC 2024
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