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docs/en/docs/advanced/custom-response.md
But you can also declare the `Response` that you want to be used, in the *path operation decorator*. The contents that you return from your *path operation function* will be put inside of that `Response`.
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docs/en/docs/async.md
return burgers ``` ### More technical details You might have noticed that `await` can only be used inside of functions defined with `async def`. But at the same time, functions defined with `async def` have to be "awaited". So, functions with `async def` can only be called inside of functions defined with `async def` too. So, about the egg and the chicken, how do you call the first `async` function?
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirSymbolContainingDeclarationProvider.kt
is KtClassLikeSymbol -> { val outerClassId = symbol.classIdIfNonLocal?.outerClassId if (outerClassId != null) { // Won't work for local and top-level classes, or classes inside a script val outerFirClassifier = symbolFirSession.firProvider.getFirClassifierByFqName(outerClassId) ?: return null
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docs/en/docs/how-to/sql-databases-peewee.md
``` To set a value used in the current "context" (e.g. for the current request) use: ```Python some_var.set("new value") ``` To get a value anywhere inside of the context (e.g. in any part handling the current request) use: ```Python some_var.get() ``` ### Set context variables in the `async` dependency `reset_db_state()`
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docs/fa/docs/features.md
شما پایتون استاندارد را با استفاده از تایپ ها مینویسید: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` که سپس میتوان به این شکل از آن استفاده کرد:
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docs/tr/docs/index.md
"_Python ile kullanıma hazır bir API oluşturmak isteyen herhangi biri için, **FastAPI**'ı şiddetle tavsiye ederim. **Harika tasarlanmış**, **kullanımı kolay** ve **yüksek ölçeklenebilir**, API odaklı geliştirme stratejimizin **ana bileşeni** haline geldi ve Virtual TAC Engineer gibi birçok otomasyon ve servisi yönetiyor._"
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tensorflow/c/BUILD
"//tensorflow/core:protos_all_cc", "//tensorflow/core:test", "//tensorflow/core:test_main", "//tensorflow/core/kernels:ops_testutil", "@com_google_absl//absl/container:inlined_vector", "@com_google_absl//absl/strings:str_format", "@eigen_archive//:eigen3", ], ) tf_cc_test( name = "ops_test", size = "medium", srcs = ["ops_test.cc"],
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docs/tr/docs/async.md
Buna ek olarak Python'un **Veri Bilimi**, Makine Öğrenimi ve özellikle Derin Öğrenme için ana dil olduğu gerçeği, FastAPI'yi Veri Bilimi / Makine Öğrenimi web API'leri ve uygulamaları için çok iyi bir seçenek haline getirir. Production'da nasıl oldugunu görmek için şu bölüme bakın [Deployment](deployment/index.md){.internal-link target=_blank}. ## `async` ve `await`
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CHANGELOG.md
* Breaking: Drop support for Kotlin Multiplatform. We planned to support multiplatform in OkHttp 5.0, but after building it, we weren't happy with the implementation trade-offs. We can't use our HTTP client engine on Kotlin/JS, and we weren't prepared to build a TLS API for Kotlin/Native. We'd prefer a multiplatform HTTP client API that's backed by OkHttp on Android and JVM, and
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docs/vi/docs/index.md
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