for the tests to pass.
-   Once the tests pass, we now bring all the code into the internal code base,
    using a job called "copybara".

**5. Copy to Google Internal codebase and run internal CI**

-   Once the PR is in the Google codebase, we make sure it integrates well with
    its dependencies and the rest of the system.
-   Rarely, If the tests fail at this stage, we cannot merge the code.

* 100% <abbr title="De hoeveelheid code die automatisch wordt getest">van de code is getest</abbr>.
* 100% <abbr title="Python type annotaties, hiermee kunnen je editor en externe tools je beter ondersteunen">type geannoteerde</abbr> codebase.
* Wordt gebruikt in productietoepassingen.

## Starlette functies

of a plugin (tasks, extensions, domain objects).  The Provider API provides a consistent way to set conventions, wire related configuration together (extension <- domain object <- task) and avoid evaluation ordering problems.

The Gradle codebase has evolved over time and has a mixture of simple getter/setter methods, Provider API and things in between.  It can be hard to follow best practices because Gradle provided types are reused in unexpected ways and extended by third party plugins....

from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.
* Few hard dependencies.

Starlette is currently the fastest Python framework tested. Only surpassed by Uvicorn, which is not a framework, but a server.

            ModelBase.Builder builder,
            ModelBase target,
            ModelBase source,
            boolean sourceDominant,
            Map<Object, Object> context) {
        builder.pluginRepositories(source.getPluginRepositories());
    }

    @Override
    protected void mergeModelBase_Repositories(
            ModelBase.Builder builder,
            ModelBase target,

        -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!
        -  If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.

 * </p>
 *
 *
 * @since 4.0.0
 * @see Repository
 * @see LocalRepository
 * @see Session#getSettings()
 * @see ModelBase#getRepositories()
 * @see ModelBase#getPluginRepositories()
 */
@Experimental
@Immutable
public interface RemoteRepository extends Repository {

    @Nonnull
    String getUrl();

    @Nonnull
    String getProtocol();

    }

    /**
     * ProfileModelMerger
     */
    protected static class ProfileModelMerger extends MavenModelMerger {

        public void mergeModelBase(ModelBase.Builder builder, ModelBase target, ModelBase source) {
            mergeModelBase(builder, target, source, true, Collections.emptyMap());
        }

                && profile.getPluginRepositories().isEmpty()
                && profile.getReporting() == null;
    }

    private static <T extends ModelBase.Builder> T prune(T builder, ModelBase model) {
        builder.properties(null).reporting(null);
        if (model.getDistributionManagement() != null
                && model.getDistributionManagement().getRelocation() != null) {