// managed version's POM, *not* any other version's POM.
                                    // We retrieve the POM below in the retrieval step.
                                    manageArtifact(child, managedVersions, listeners);

                                    // Also, we need to ensure that any exclusions it presents are

          "format": "time_series",
          "instant": false,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": "{{bucket,range}}",
          "refId": "A",
          "step": 300
        }
      ],
      "title": "Object Size Distribution",
      "type": "bargauge"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"

         * Only kill local Gradle processes (classpath in checkout directory).
         * Not clean up global Gradle processes (i.e. classpath in ~/.gradle/...).
         * Because the step is not guaranteed to run (e.g. build timeout), we need `KILL_LEAKED_PROCESSES_FROM_PREVIOUS_BUILDS` mode.
         */
        KILL_PROCESSES_STARTED_BY_GRADLE,
        /**

        }

        return delegate.calculateLifecycleMappings(session, project, lifecycle, lifecyclePhase);
    }

    /**
     * Post-processes the effective configuration for the specified mojo execution. This step discards all parameters
     * from the configuration that are not applicable to the mojo and injects the default values for any missing
     * parameters.
     *

#### Request a New Language

Let's say that you want to request translations for a language that is not yet translated, not even some pages. For example, Latin.

* The first step would be for you to find other 2 people that would be willing to be reviewing translation PRs for that language with you.

In the end, a hierarchical tree of dependencies is built, and the **Dependency Injection** system takes care of solving all these dependencies for you (and their sub-dependencies) and providing (injecting) the results at each step.

For example, let's say you have 4 API endpoints (*path operations*):

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

 *    we must send a `CONNECT` request, and handle authorization challenges from the proxy.
 *  * Optional [TLS handshake][connectTls].
 *
 * Each step may fail. If a retry is possible, a new instance is created with the next plan, which
 * will be configured differently.
 */
class ConnectPlan internal constructor(
  private val taskRunner: TaskRunner,

        # self._type_adapter.validate_python(value)
        # This uses Pydantic's dump_json() which serializes directly to JSON
        # bytes in one pass (via Rust), avoiding the intermediate Python dict
        # step of dump_python(mode="json") + json.dumps().
        return self._type_adapter.dump_json(
            value,
            include=include,
            exclude=exclude,
            by_alias=by_alias,

  # Find all one-step dependencies of those tests which are from //tensorflow
  # (since external deps will come from Python-level pip dependencies),
  # excluding dependencies and files that are known to be unneccessary.

     * more values and build again.
     *
     * <p><b>Performance note:</b> the returned array is backed by the same array as the builder, so
     * no data is copied as part of this step, but this may occupy more memory than strictly
     * necessary. To copy the data to a right-sized backing array, use {@code .build().trimmed()}.
     */
    public ImmutableLongArray build() {