```JSON hl_lines="4-8"
{
    "openapi": "3.1.0",
    // More stuff here
    "servers": [
        {
            "url": "/api/v1"
        }
    ],
    "paths": {
            // More stuff here
    }
}
```

    /**
     * Gets the profiles that were active during model building.
     *
     * @return The active profiles of the model or an empty list if the model has no active profiles.
     */
    @Nonnull
    List<Profile> getActivePomProfiles();

    /**
     * Gets the external profiles that were active during model building. External profiles are those that were
     * contributed by {@link ModelBuilderRequest#getProfiles()}.

     *         {@link ProjectBuilderException}.
     */
    @Nonnull
    Optional<Project> getProject();

    /**
     * Gets the problems that were encountered during the project building.
     *
     * @return the problems that were encountered during the project building, can be empty but never {@code null}
     */
    @Nonnull
    Collection<BuilderProblem> getProblems();

    /**

		case isSysErrPathNotFound(err):
			// This is a special case should be handled only for
			// windows, because windows API does not return "not a
			// directory" error message. Handle this specifically
			// here.
			return errFileAccessDenied
		}
	}
	return err
}

// Reliably retries os.RemoveAll if for some reason os.RemoveAll returns
// syscall.ENOTEMPTY (children has files).

Like `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 the method was called `.dict()`, it was deprecated (but still supported) in Pydantic v2, and renamed to `.model_dump()`.

The examples here use `.dict()` for compatibility with Pydantic v1, but you should use `.model_dump()` instead if you can use Pydantic v2.

///

gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch
keras-nightly ~= 3.10.0.dev
tb-nightly ~= 2.20.0.a

(we highly recommend to name this branch without prefix and hyphen (`-`) because it's used to generate build type ID) and want to
test these changes without affecting `master`/`release` pipeline. Here are the instructions.

- Click the left sidebar "VCS Roots" here and create a VCS root [here](https://builds.gradle.org/admin/editProject.html?projectId=Gradle&cameFromUrl=%2Fproject.html%3FprojectId%3DGradle%26tab%3DprojectOverview%26branch_Gradle_Master_Check%3Dmaster)

# The mode of Lasta Di's smart-deploy, should be cool in production (e.g. hot, cool, warm)
lasta_di.smart.deploy.mode = warm

# Is development environment here? (used for various purpose, you should set false if unknown)
development.here = false

# The title of environment (e.g. local or integration or production)
environment.title = Production

# Does it enable the Framework internal debug? (true only when emergency)

# The mode of Lasta Di's smart-deploy, should be cool in production (e.g. hot, cool, warm)
lasta_di.smart.deploy.mode = warm

# Is development environment here? (used for various purpose, you should set false if unknown)
development.here = false

# The title of environment (e.g. local or integration or production)
environment.title = Production

# Does it enable the Framework internal debug? (true only when emergency)

) = connectionSpec.apply(sslSocket, isFallback)

internal fun ConnectionSpec.effectiveCipherSuites(socketEnabledCipherSuites: Array<String>): Array<String> =
  if (cipherSuitesAsString != null) {
    // 3 options here for ordering
    // 1) Legacy Platform - based on the Platform/Provider existing ordering in
    // sslSocket.enabledCipherSuites
    // 2) OkHttp Client - based on MODERN_TLS source code ordering