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okhttp/src/main/kotlin/okhttp3/internal/cache2/Relay.kt
* is returned by upstream, or after the upstream source has been exhausted. * * As bytes are returned from upstream they are written to a local file. Downstream sources read * from this file as necessary. * * This class also keeps a small buffer of bytes recently read from upstream. This is intended to * save a small amount of file I/O and data copying. */ class Relay private constructor( /**
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build-logic-commons/module-identity/src/main/kotlin/gradlebuild/identity/provider/BuildTimestampValueSource.kt
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docs/en/docs/reference/websockets.md
# WebSockets When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it. It is provided directly by Starlette, but you can import it from `fastapi`: ```python from fastapi import WebSocket ``` !!! tip
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docs/en/docs/tutorial/static-files.md
### What is "Mounting" "Mounting" means adding a complete "independent" application in a specific path, that then takes care of handling all the sub-paths. This is different from using an `APIRouter` as a mounted application is completely independent. The OpenAPI and docs from your main application won't include anything from the mounted application, etc.
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docs/en/docs/tutorial/bigger-applications.md
This is because we also have another variable named `router` in the submodule `users`. If we had imported one after the other, like: ```Python from .routers.items import router from .routers.users import router ``` the `router` from `users` would overwrite the one from `items` and we wouldn't be able to use them at the same time. So, to be able to use both of them in the same file, we import the submodules directly:
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build-logic/jvm/src/main/kotlin/gradlebuild.launchable-jar.gradle.kts
startScriptsDir = layout.buildDirectory.dir("startScripts") launcherJar.from(tasks.jar) agentJars.from(agentsClasspath) // The trick below is to use the templates from the current code instead of the wrapper. It does not cover the case where the generation logic is updated though.
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Dockerfile.release.fips
MINIO_UPDATE_MINISIGN_PUBKEY="RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGav" \ MINIO_CONFIG_ENV_FILE=config.env COPY --from=build /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/ COPY --from=build /go/bin/minio /usr/bin/minio COPY --from=build /go/bin/cur* /usr/bin/ COPY CREDITS /licenses/CREDITS COPY LICENSE /licenses/LICENSE COPY dockerscripts/docker-entrypoint.sh /usr/bin/docker-entrypoint.sh
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docs/en/docs/tutorial/path-params.md
### Create an `Enum` class Import `Enum` and create a sub-class that inherits from `str` and from `Enum`. By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly. Then create class attributes with fixed values, which will be the available valid values:
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Dockerfile.release.old_cpu
MINIO_CONFIG_ENV_FILE=config.env \ MC_CONFIG_DIR=/tmp/.mc COPY --from=build /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/ COPY --from=build /go/bin/minio /usr/bin/minio COPY --from=build /go/bin/mc /usr/bin/mc COPY --from=build /go/bin/cur* /usr/bin/ COPY CREDITS /licenses/CREDITS COPY LICENSE /licenses/LICENSE
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docs/en/docs/python-types.md
* **Editor support**. * **Type checks**. ...and **FastAPI** uses the same declarations to: * **Define requirements**: from request path parameters, query parameters, headers, bodies, dependencies, etc. * **Convert data**: from the request to the required type. * **Validate data**: coming from each request: * Generating **automatic errors** returned to the client when the data is invalid. * **Document** the API using OpenAPI:
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