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docs/en/docs/advanced/dataclasses.md
# Using Dataclasses FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses. But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way: ```Python hl_lines="1 7-12 19-20" {!../../../docs_src/dataclasses/tutorial001.py!} ```
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docs/en/docs/fastapi-people.md
* Review Pull Requests, [especially important for translations](contributing.md#translations){.internal-link target=_blank}. A round of applause to them. 👏 🙇 ## FastAPI Experts These are the users that have been [helping others the most with questions in GitHub](help-fastapi.md#help-others-with-questions-in-github){.internal-link target=_blank}. 🙇 They have proven to be **FastAPI Experts** by helping many others. ✨ !!! tip
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docs/en/docs/history-design-future.md
<blockquote markdown="1"> **FastAPI** wouldn't exist if not for the previous work of others. There have been many tools created before that have helped inspire its creation. I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.
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docs/es/docs/advanced/response-headers.md
s/Web/HTTP/Headers" class="external-link" target="_blank">usando el prefijo 'X-'</a>. Si tienes headers personalizados y deseas que un cliente pueda verlos en el navegador, es necesario que los añadas a tus configuraciones de CORS (puedes leer más en [CORS (Cross-Origin Resource Sharing)](../tutorial/cors.md){.internal-link target=_blank}), usando el parámetro `expose_headers` documentado en <a href="https://www.starlette.io/middleware/#corsmiddleware" class="external-link" target="_blank">Starlette's...
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docs/en/docs/features.md
![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png) You will get completion in code you might even consider impossible before. As for example, the `price` key inside a JSON body (that could have been nested) that comes from a request. No more typing the wrong key names, coming back and forth between docs, or scrolling up and down to find if you finally used `username` or `user_name`. ### Short
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docs/es/docs/tutorial/index.md
## GuĂa Avanzada de Usuario TambiĂ©n hay una **GuĂa Avanzada de Usuario** que puedes leer luego de este **Tutorial - GuĂa de Usuario**. La **GuĂa Avanzada de Usuario**, se basa en este tutorial, utiliza los mismos conceptos y enseña algunas caracterĂsticas adicionales. Pero primero deberĂas leer el **Tutorial - GuĂa de Usuario** (lo que estas leyendo ahora mismo).
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docs/en/docs/tutorial/extra-data-types.md
# Extra Data Types Up to now, you have been using common data types, like: * `int` * `float` * `str` * `bool` But you can also use more complex data types. And you will still have the same features as seen up to now: * Great editor support. * Data conversion from incoming requests. * Data conversion for response data. * Data validation. * Automatic annotation and documentation. ## Other data types
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.github/workflows/issue-manager.yml
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docs/en/docs/advanced/response-cookies.md
So, you will have to make sure your data is of the correct type. E.g. it is compatible with JSON, if you are returning a `JSONResponse`. And also that you are not sending any data that should have been filtered by a `response_model`. ### More info !!! note "Technical Details" You could also use `from starlette.responses import Response` or `from starlette.responses import JSONResponse`.
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fastapi/datastructures.py
return with_info_plain_validator_function(cls._validate) class DefaultPlaceholder: """ You shouldn't use this class directly. It's used internally to recognize when a default value has been overwritten, even if the overridden default value was truthy. """ def __init__(self, value: Any): self.value = value def __bool__(self) -> bool: return bool(self.value)
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