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requirements-docs.txt
mkdocs-material==9.5.18 mdx-include >=1.4.1,<2.0.0 mkdocs-redirects>=1.2.1,<1.3.0 typer >=0.12.0 pyyaml >=5.3.1,<7.0.0 # For Material for MkDocs, Chinese search jieba==0.42.1 # For image processing by Material for MkDocs pillow==10.3.0 # For image processing by Material for MkDocs cairosvg==2.7.0 mkdocstrings[python]==0.24.3 griffe-typingdoc==0.2.2 # For griffe, it formats with black black==24.3.0
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docs/en/docs/how-to/custom-request-and-route.md
Doing this, our `GzipRequest` will take care of decompressing the data (if necessary) before passing it to our *path operations*. After that, all of the processing logic is the same. But because of our changes in `GzipRequest.body`, the request body will be automatically decompressed when it is loaded by **FastAPI** when needed. ## Accessing the request body in an exception handler
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docs/en/docs/async.md
--- Common examples of CPU bound operations are things that require complex math processing. For example: * **Audio** or **image processing**.
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docs/en/docs/python-types.md
!!! tip If you use Python 3.9 or above, you don't have to import `List` from `typing`, you can use the same regular `list` type instead. By doing that, your editor can provide support even while processing items from the list: <img src="/img/python-types/image05.png"> Without types, that's almost impossible to achieve. Notice that the variable `item` is one of the elements in the list `items`.
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docs/fr/docs/async.md
Et comme la plupart du temps d'exécution est pris par du "vrai" travail (et non de l'attente), et que le travail dans un ordinateur est fait par un <abbr title="Central Processing Unit">CPU</abbr>, ce sont des problèmes dits "CPU bound". --- Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes. Par exemple :
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docs/ja/docs/async.md
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docs/en/docs/advanced/custom-response.md
That way, you don't have to read it all first in memory, and you can pass that generator function to the `StreamingResponse`, and return it. This includes many libraries to interact with cloud storage, video processing, and others. ```{ .python .annotate hl_lines="2 10-12 14" } {!../../../docs_src/custom_response/tutorial008.py!} ```
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docs/tr/docs/async.md
Bu senaryoda, temizlikçilerin her biri (siz dahil) birer işlemci olacak ve üzerine düşeni yapacaktır. Yürütme süresinin çoğu (beklemek yerine) iş yapıldığından ve bilgisayardaki iş bir <abbr title="Central Processing Unit">CPU</abbr> tarafından yapıldığından, bu sorunlara "CPU bound" diyorlar". --- CPU'ya bağlı işlemlerin yaygın örnekleri, karmaşık matematik işlemleri gerektiren işlerdir. Örneğin:
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docs/en/docs/tutorial/sql-databases.md
And then we close it in the `finally` block. This way we make sure the database session is always closed after the request. Even if there was an exception while processing the request.
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docs/en/docs/release-notes.md
In some cases, for pure data validation and processing, you can get performance improvements of **20x** or more. This means 2,000% or more. 🤯
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