code: def get_job_provisioning_data(
      dockerized: bool,
  ) -> JobProvisioningData:
      return JobProvisioningData(
          backend=BackendType.AWS,
          instance_type=InstanceType(
              name="instance",
              resources=Resources(
                  cpus=1, memory_mib=512, spot=False, gpus=[]
              ),
          ),
          instance_id="instance_id",
          hostname="127.0.0.4",
          region="us-east-1",
          price=10.5,
          username="ubuntu",
          ssh_port=22,
          dockerized=dockerized,
          backend_data=None,
      )
  
file_path: dstack/src/tests/_internal/server/background/tasks/test_process_running_jobs.py
imports: from datetime import datetime, timezone
  from pathlib import Path
  from unittest.mock import Mock, patch
  import pytest
  from sqlalchemy.ext.asyncio import AsyncSession
  from dstack._internal.core.errors import SSHError
  from dstack._internal.core.models.backends.base import BackendType
  from dstack._internal.core.models.instances import InstanceType, Resources
  from dstack._internal.core.models.runs import JobProvisioningData, JobStatus
  from dstack._internal.server import settings
  from dstack._internal.server.background.tasks.process_running_jobs import process_running_jobs
  from dstack._internal.server.schemas.runner import HealthcheckResponse, JobStateEvent, PullResponse
  from dstack._internal.server.testing.common import create_job, create_project, create_repo, create_run, create_user
label_desc: Use image node_id 1 for calling a global function with example usage: get_job_provisioning_data(dockerized) and returns: JobProvisioningData