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docs/en/docs/release-notes.md
## 0.66.0 ### Features
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tests/test_datastructures.py
assert testing_file_store[0].file.closed # For UploadFile coverage, segments copied from Starlette tests @pytest.mark.anyio async def test_upload_file(): stream = io.BytesIO(b"data") file = UploadFile(filename="file", file=stream, size=4) assert await file.read() == b"data" assert file.size == 4 await file.write(b" and more data!") assert await file.read() == b"" assert file.size == 19
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docs/de/docs/advanced/custom-response.md
# Benutzerdefinierte Response – HTML, Stream, Datei, andere Standardmäßig gibt **FastAPI** die Responses mittels `JSONResponse` zurück. Sie können das überschreiben, indem Sie direkt eine `Response` zurückgeben, wie in [Eine Response direkt zurückgeben](response-directly.md){.internal-link target=_blank} gezeigt.
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fastapi/responses.py
class UJSONResponse(JSONResponse): """ JSON response using the high-performance ujson library to serialize data to JSON. Read more about it in the [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/). """ def render(self, content: Any) -> bytes: assert ujson is not None, "ujson must be installed to use UJSONResponse"
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docs/en/docs/reference/responses.md
There are several custom response classes you can use to create an instance and return them directly from your *path operations*. Read more about it in the [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/). You can import them directly from `fastapi.responses`: ```python from fastapi.responses import ( FileResponse, HTMLResponse,
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docs/en/docs/advanced/custom-response.md
# Custom Response - HTML, Stream, File, others By default, **FastAPI** will return the responses using `JSONResponse`. You can override it by returning a `Response` directly as seen in [Return a Response directly](response-directly.md){.internal-link target=_blank}.
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fastapi/applications.py
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docs/de/docs/reference/responses.md
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docs/de/docs/deployment/concepts.md
Wenn Sie für drei Server bezahlen, aber nur wenig von deren RAM und CPU nutzen, **verschwenden Sie wahrscheinlich Geld** 💸 und wahrscheinlich **Strom für den Server** 🌎, usw. In diesem Fall könnte es besser sein, nur zwei Server zu haben und einen höheren Prozentsatz von deren Ressourcen zu nutzen (CPU, Arbeitsspeicher, Festplatte, Netzwerkbandbreite, usw.).
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fastapi/routing.py
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