*
     * 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()

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

            }
        }
    }
}

tasks.register("zip", Zip) {
    from "archive-contents"
    archiveFileName = "archive.zip"
}

tasks.register("tar", Tar) {
    from "archive-contents"
    archiveFileName = "archive.tar"
}

tasks.register("tarGz", Tar) {
    from "archive-contents"
    archiveFileName = "archive.tar.gz"
    compression = 'gzip'
}

- Build configuration time.
- Task execution time.
- Heap consumption at the end of the build.
- Total heap usage during the build

### Report

A `performance:report` task generates a static HTML report from the contents of the database in `~/.gradle-performance-test-data`. This report allows the results over
time to be visualized.

The reports for the most recent test suite run against master can be found at:

                }
                false
            }
            else -> {
                true
            }
        }

        override fun visitCollection(source: FileCollectionInternal.Source, contents: Iterable<File>) =
            throw UnsupportedOperationException()

        override fun visitFileTree(root: File, patterns: PatternSet, fileTree: FileTreeInternal) {

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+"

)
```

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