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docs/es/docs/advanced/response-headers.md
Si declaraste un `response_model`, este se continuará usando para filtrar y convertir el objeto que devolviste. **FastAPI** usará ese response *temporal* para extraer los headers (al igual que las cookies y el status code), además las pondrá en el response final que contendrá el valor retornado y filtrado por algún `response_model`.
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docs/en/docs/tutorial/body-nested-models.md
## Nested Models Each attribute of a Pydantic model has a type. But that type can itself be another Pydantic model. So, you can declare deeply nested JSON "objects" with specific attribute names, types and validations. All that, arbitrarily nested. ### Define a submodel For example, we can define an `Image` model: === "Python 3.10+" ```Python hl_lines="7-9"
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docs/em/docs/advanced/response-headers.md
{!../../../docs_src/response_headers/tutorial002.py!} ``` & ⤴️ 👆 💪 📨 🙆 🎚 👆 💪, 👆 🛎 🔜 ( `dict`, 💽 🏷, ♒️). & 🚥 👆 📣 `response_model`, ⚫️ 🔜 ⚙️ ⛽ & 🗜 🎚 👆 📨. **FastAPI** 🔜 ⚙️ 👈 *🔀* 📨 ⚗ 🎚 (🍪 & 👔 📟), & 🔜 🚮 👫 🏁 📨 👈 🔌 💲 👆 📨, ⛽ 🙆 `response_model`. 👆 💪 📣 `Response` 🔢 🔗, & ⚒ 🎚 (& 🍪) 👫. ## 📨 `Response` 🔗 👆 💪 🚮 🎚 🕐❔ 👆 📨 `Response` 🔗.
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docs/en/docs/advanced/response-directly.md
# Return a Response Directly When you create a **FastAPI** *path operation* you can normally return any data from it: a `dict`, a `list`, a Pydantic model, a database model, etc. By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.
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docs/en/docs/deployment/concepts.md
### Memory per Process Now, when the program loads things in memory, for example, a machine learning model in a variable, or the contents of a large file in a variable, all that **consumes a bit of the memory (RAM)** of the server.
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docs/en/docs/features.md
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docs/em/docs/tutorial/sql-databases.md
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docs/en/docs/tutorial/body-updates.md
Like `item.model_dump(exclude_unset=True)`. !!! info In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`. The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.
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docs/de/docs/how-to/general.md
## Daten filtern – Sicherheit Um sicherzustellen, dass Sie nicht mehr Daten zurückgeben, als Sie sollten, lesen Sie die Dokumentation unter [Tutorial – Responsemodell – Rückgabetyp](../tutorial/response-model.md){.internal-link target=_blank}. ## Dokumentations-Tags – OpenAPI
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docs/de/docs/advanced/settings.md
!!! info
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