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  1. .github/DISCUSSION_TEMPLATE/questions.yml

      - type: checkboxes
        id: checks
        attributes:
          label: First Check
          description: Please confirm and check all the following options.
          options:
            - label: I added a very descriptive title here.
              required: true
            - label: I used the GitHub search to find a similar question and didn't find it.
    Others
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Thu Aug 03 15:59:41 GMT 2023
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  2. .github/ISSUE_TEMPLATE/privileged.yml

      - type: checkboxes
        id: privileged
        attributes:
          label: Privileged issue
          description: Confirm that you are allowed to create an issue here.
          options:
            - label: I'm @tiangolo or he asked me directly to create an issue here.
              required: true
      - type: textarea
        id: content
        attributes:
    Others
    - Registered: Sun Apr 21 07:19:11 GMT 2024
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  3. docs/en/docs/how-to/separate-openapi-schemas.md

        ```
    
        </details>
    
    ...then the `description` field will **not be required**. Because it has a default value of `None`.
    
    ### Input Model in Docs
    
    You can confirm that in the docs, the `description` field doesn't have a **red asterisk**, it's not marked as required:
    
    <div class="screenshot">
    <img src="/img/tutorial/separate-openapi-schemas/image01.png">
    </div>
    
    Plain Text
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  4. docs_src/settings/app03/config.py

    from pydantic_settings import BaseSettings
    
    
    class Settings(BaseSettings):
        app_name: str = "Awesome API"
        admin_email: str
        items_per_user: int = 50
    
        class Config:
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Jul 07 17:12:13 GMT 2023
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  5. docs_src/settings/app02_an/config.py

    Sebastián Ramírez <******@****.***> 1688749933 +0200
    Python
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  6. docs_src/settings/app03_an_py39/config.py

    from pydantic_settings import BaseSettings
    
    
    class Settings(BaseSettings):
        app_name: str = "Awesome API"
        admin_email: str
        items_per_user: int = 50
    
        class Config:
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
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  7. tests/test_tutorial/test_configure_swagger_ui/test_tutorial002.py

            '"dom_id": "#swagger-ui"' in response.text
        ), "default configs should be preserved"
        assert "presets: [" in response.text, "default configs should be preserved"
        assert (
            "SwaggerUIBundle.presets.apis," in response.text
        ), "default configs should be preserved"
        assert (
            "SwaggerUIBundle.SwaggerUIStandalonePreset" in response.text
        ), "default configs should be preserved"
        assert (
    Python
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    - Last Modified: Sat Aug 19 19:54:04 GMT 2023
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  8. docs_src/settings/app03_an/config.py

    from pydantic_settings import BaseSettings, SettingsConfigDict
    
    
    class Settings(BaseSettings):
        app_name: str = "Awesome API"
        admin_email: str
        items_per_user: int = 50
    
    Python
    - Registered: Sun Apr 21 07:19:11 GMT 2024
    - Last Modified: Fri Jul 07 17:12:13 GMT 2023
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  9. docs/pt/docs/tutorial/schema-extra-example.md

    Você pode declarar exemplos dos dados que a sua aplicação pode receber.
    
    Aqui estão várias formas de se fazer isso.
    
    ## `schema_extra` do Pydantic
    
    Você pode declarar um `example` para um modelo Pydantic usando `Config` e `schema_extra`, conforme descrito em <a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Documentação do Pydantic: Schema customization</a>:
    
    ```Python hl_lines="15-23"
    Plain Text
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  10. docs/pt/docs/features.md

    Se você precisa refrescar a memória rapidamente sobre como usar tipos do Python (mesmo que você não use o FastAPI), confira esse rápido tutorial: [Tipos do Python](python-types.md){.internal-link target=_blank}.
    
    Você escreve Python padrão com tipos:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    Plain Text
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