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analysis/analysis-api-platform-interface/src/org/jetbrains/kotlin/analysis/api/platform/modification/KotlinGlobalSourceOutOfBlockModificationListener.kt
* * Library modules (including library sources) do not need to be considered modified, so any caches related to library modules and their * contents may be kept. * * @see KotlinModificationTopics */ public fun onModification()
Registered: Wed Jun 12 09:53:16 UTC 2024 - Last Modified: Thu Jun 06 17:44:50 UTC 2024 - 1K bytes - Viewed (0) -
docker/Dockerfile.distroless
FROM cgr.dev/chainguard/static@sha256:873e9709e2a83acc995ff24e71c100480f9c0368e0d86eaee9c3c7cb8fb5f0e0 as distroless_source # prepare a base dev to modify file contents FROM ubuntu:noble as ubuntu_source # Modify contents of container COPY --from=distroless_source /etc/ /home/etc COPY --from=distroless_source /home/nonroot /home/nonroot RUN echo istio-proxy:x:1337: >> /home/etc/group
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Thu May 09 00:17:51 UTC 2024 - 828 bytes - Viewed (0) -
testing/performance/src/templates/archivePerformanceProject/build.gradle
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Apr 26 11:42:52 UTC 2024 - 1.6K bytes - Viewed (0) -
platforms/core-configuration/core-serialization-codecs/src/main/kotlin/org/gradle/internal/serialize/codecs/core/FileTreeCodec.kt
} false } else -> { true } } override fun visitCollection(source: FileCollectionInternal.Source, contents: Iterable<File>) = throw UnsupportedOperationException() override fun visitFileTree(root: File, patterns: PatternSet, fileTree: FileTreeInternal) {
Registered: Wed Jun 12 18:38:38 UTC 2024 - Last Modified: Fri Jun 07 23:09:56 UTC 2024 - 7.3K bytes - Viewed (0) -
docs/en/docs/tutorial/body-multiple-params.md
Let's say you only have a single `item` body parameter from a Pydantic model `Item`. By default, **FastAPI** will then expect its body directly. But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`: ```Python item: Item = Body(embed=True) ``` as in: === "Python 3.10+"
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Sun Jun 09 02:01:51 UTC 2024 - 7.7K bytes - Viewed (0) -
docs/en/docs/tutorial/extra-models.md
) ``` Or more exactly, using `user_dict` directly, with whatever contents it might have in the future: ```Python UserInDB( username = user_dict["username"], password = user_dict["password"], email = user_dict["email"], full_name = user_dict["full_name"], ) ``` #### A Pydantic model from the contents of another
Registered: Mon Jun 17 08:32:26 UTC 2024 - Last Modified: Thu Apr 18 19:53:19 UTC 2024 - 7.7K bytes - Viewed (0)