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docs/tr/docs/async.md
Production'da nasıl oldugunu görmek için şu bölüme bakın [Deployment](deployment/index.md){.internal-link target=_blank}. ## `async` ve `await`
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.bazelrc
# Default paths for TF_SYSTEM_LIBS build:linux --define=PREFIX=/usr build:linux --define=LIBDIR=$(PREFIX)/lib build:linux --define=INCLUDEDIR=$(PREFIX)/include build:linux --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include build:macos --define=PREFIX=/usr build:macos --define=LIBDIR=$(PREFIX)/lib build:macos --define=INCLUDEDIR=$(PREFIX)/include build:macos --define=PROTOBUF_INCLUDE_PATH=$(PREFIX)/include
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docs/en/docs/reference/request.md
You can import it directly from `fastapi`: ```python from fastapi import Request ``` !!! tip When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.
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docs/en/docs/reference/httpconnection.md
# `HTTPConnection` class When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`. You can import it from `fastapi.requests`: ```python from fastapi.requests import HTTPConnection ```
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docs/en/docs/advanced/events.md
# Lifespan Events You can define logic (code) that should be executed before the application **starts up**. This means that this code will be executed **once**, **before** the application **starts receiving requests**. The same way, you can define logic (code) that should be executed when the application is **shutting down**. In this case, this code will be executed **once**, **after** having handled possibly **many requests**.
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fastapi/encoders.py
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tensorflow/BUILD
config_setting( name = "dynamic_loaded_kernels", define_values = { "dynamic_loaded_kernels": "true", "framework_shared_object": "true", }, visibility = ["//visibility:public"], ) config_setting( name = "using_rocm_hipcc", define_values = {"using_rocm_hipcc": "true"}, ) config_setting( name = "override_eigen_strong_inline", define_values = {"override_eigen_strong_inline": "true"},
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docs/en/docs/reference/websockets.md
It is provided directly by Starlette, but you can import it from `fastapi`: ```python from fastapi import WebSocket ``` !!! tip When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`. ::: fastapi.WebSocket options: members: - scope - app
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fastapi/security/api_key.py
with the API key and integrates that into the OpenAPI documentation. It extracts the key value sent in the query parameter automatically and provides it as the dependency result. But it doesn't define how to send that API key to the client. ## Usage Create an instance object and use that object as the dependency in `Depends()`. The dependency result will be a string containing the key value.
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fastapi/routing.py
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