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  1. tests/test_tutorial/test_dataclasses/test_tutorial003.py

                        "description": "The kombucha mushroom people's favorite",
                    },
                    {"name": "Pad Thai", "description": None},
                    {
                        "name": "Lonely Night",
                        "description": "The mostests lonliest nightiest of allest",
                    },
                ],
            },
        ]
    
    
    @needs_pydanticv2
    def test_openapi_schema():
    Python
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  2. docs/en/docs/advanced/generate-clients.md

    And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇
    
    For example, you might want to try <a href="https://speakeasyapi.dev/?utm_source=fastapi+repo&utm_medium=github+sponsorship" class="external-link" target="_blank">Speakeasy</a>.
    
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  3. docs/pl/docs/index.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
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  4. docs/ru/docs/index.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_Мы использовали библиотеку **FastAPI** для создания сервера **REST**, к которому можно делать запросы для получения **прогнозов**. [для Ludwig]_"
    
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  5. docs/it/docs/index.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    "_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"
    
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  6. docs/zh/docs/index.md

    <div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>微软</strong> <a href="https://github.com/tiangolo/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>
    
    ---
    
    「_我们选择了 **FastAPI** 来创建用于获取**预测结果**的 **REST** 服务。[用于 Ludwig]_」
    
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  7. docs/en/docs/advanced/behind-a-proxy.md

    # Behind a Proxy
    
    In some situations, you might need to use a **proxy** server like Traefik or Nginx with a configuration that adds an extra path prefix that is not seen by your application.
    
    In these cases you can use `root_path` to configure your application.
    
    The `root_path` is a mechanism provided by the ASGI specification (that FastAPI is built on, through Starlette).
    
    The `root_path` is used to handle these specific cases.
    
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  8. docs/en/docs/alternatives.md

    It uses the information from Webargs and Marshmallow to automatically generate OpenAPI schemas, using APISpec.
    
    It's a great tool, very underrated. It should be way more popular than many Flask plug-ins out there. It might be due to its documentation being too concise and abstract.
    
    This solved having to write YAML (another syntax) inside of Python docstrings.
    
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  9. docs/en/docs/tutorial/first-steps.md

    This schema definition includes your API paths, the possible parameters they take, etc.
    
    #### Data "schema"
    
    The term "schema" might also refer to the shape of some data, like a JSON content.
    
    In that case, it would mean the JSON attributes, and data types they have, etc.
    
    #### OpenAPI and JSON Schema
    
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  10. docs/en/docs/tutorial/response-model.md

    ### Disable Response Model
    
    Continuing from the example above, you might not want to have the default data validation, documentation, filtering, etc. that is performed by FastAPI.
    
    But you might want to still keep the return type annotation in the function to get the support from tools like editors and type checkers (e.g. mypy).
    
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