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docs/de/docs/advanced/response-headers.md
Und wenn Sie ein `response_model` deklariert haben, wird es weiterhin zum Filtern und Konvertieren des von Ihnen zurückgegebenen Objekts verwendet. **FastAPI** verwendet diese *vorübergehende* Response, um die Header (auch Cookies und Statuscode) zu extrahieren und fügt diese in die endgültige Response ein, die den von Ihnen zurückgegebenen Wert enthält, gefiltert nach einem beliebigen `response_model`.
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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/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/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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docs/tr/docs/tutorial/path-params.md
!!! tip "İpucu" Merak ediyorsanız söyleyeyim, "AlexNet", "ResNet" ve "LeNet" isimleri Makine Öğrenmesi <abbr title="Teknik olarak, Derin Öğrenme model mimarileri">modellerini</abbr> temsil eder. ### Bir *Yol Parametresi* Tanımlayalım Sonrasında, yarattığımız enum sınıfını (`ModelName`) kullanarak tip belirteci aracılığıyla bir *yol parametresi* oluşturalım:
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docs/em/docs/tutorial/sql-databases.md
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