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  1. docs/ja/docs/tutorial/extra-models.md

    Sebastián Ramírez <******@****.***> 1728247014 +0200
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  2. docs/de/docs/tutorial/extra-models.md

    Sebastián Ramírez <******@****.***> 1728247014 +0200
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  3. docs/pt/docs/tutorial/extra-models.md

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  4. docs/en/docs/tutorial/handling-errors.md

    /// warning
    
    These are technical details that you might skip if it's not important for you now.
    
    ///
    
    `RequestValidationError` is a sub-class of Pydantic's <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.
    
    **FastAPI** uses it so that, if you use a Pydantic model in `response_model`, and your data has an error, you will see the error in your log.
    
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  5. docs/ru/docs/tutorial/handling-errors.md

    Это технические детали, которые можно пропустить, если они не важны для вас сейчас.
    
    ///
    
    `RequestValidationError` является подклассом Pydantic <a href="https://docs.pydantic.dev/latest/concepts/models/#error-handling" class="external-link" target="_blank">`ValidationError`</a>.
    
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  6. SECURITY.md

    computation
    [**graphs**](https://developers.google.com/machine-learning/glossary/#graph).
    Since models are practically programs that TensorFlow executes, using untrusted
    models or graphs is equivalent to running untrusted code.
    
    If you need to run untrusted models, execute them inside a
    [**sandbox**](https://developers.google.com/code-sandboxing). Memory corruptions
    Registered: Tue Oct 29 12:39:09 UTC 2024
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  7. docs/en/mkdocs.yml

        - tutorial/query-param-models.md
        - tutorial/body-multiple-params.md
        - tutorial/body-fields.md
        - tutorial/body-nested-models.md
        - tutorial/schema-extra-example.md
        - tutorial/extra-data-types.md
        - tutorial/cookie-params.md
        - tutorial/header-params.md
        - tutorial/cookie-param-models.md
        - tutorial/header-param-models.md
        - tutorial/response-model.md
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  8. docs/en/docs/tutorial/first-steps.md

    {* ../../docs_src/first_steps/tutorial001.py hl[8] *}
    
    You can return a `dict`, `list`, singular values as `str`, `int`, etc.
    
    You can also return Pydantic models (you'll see more about that later).
    
    There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.
    
    ## Recap
    
    * Import `FastAPI`.
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  9. docs/en/docs/tutorial/body.md

    To declare a **request** body, you use <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> models with all their power and benefits.
    
    /// info
    
    To send data, you should use one of: `POST` (the more common), `PUT`, `DELETE` or `PATCH`.
    
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  10. tests/test_tuples.py

        data = [{"x": 1, "y": 2}, {"x": 3, "y": 4}]
        response = client.post("/tuple-of-models/", json=data)
        assert response.status_code == 200, response.text
        assert response.json() == data
    
    
    def test_tuple_with_model_invalid():
        data = [{"x": 1, "y": 2}, {"x": 3, "y": 4}, {"x": 5, "y": 6}]
        response = client.post("/tuple-of-models/", json=data)
        assert response.status_code == 422, response.text
    
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