text: from azureml.core import Workspace
  from azureml.core.compute import AmlCompute
  from azureml.core.compute import ComputeTarget
  from azureml.exceptions import ComputeTargetException
  from env_variables import Env
  
  
  def get_compute(
      workspace: Workspace,
      compute_name: str,
      vm_size: str
  ):
      try:
          if compute_name in workspace.compute_targets:
              compute_target = workspace.compute_targets[compute_name]
              if compute_target and type(compute_target) is AmlCompute:
                  print('Found existing compute target ' + compute_name
                        + ' so using it.')
          else:
              e = Env()
              compute_config = AmlCompute.provisioning_configuration(
                  vm_size=vm_size,
                  vm_priority=e.vm_priority,
                  min_nodes=e.min_nodes,
                  max_nodes=e.max_nodes,
                  idle_seconds_before_scaledown="300"
                  #    #Uncomment the below lines for VNet support
                  #    vnet_resourcegroup_name=vnet_resourcegroup_name,
                  #    vnet_name=vnet_name,
                  #    subnet_name=subnet_name
              )
              compute_target = ComputeTarget.create(workspace, compute_name,
                                                    compute_config)
              compute_target.wait_for_completion(
                  show_output=True,
                  min_node_count=None,
                  timeout_in_minutes=10)
          return compute_target
      except ComputeTargetException as e:
          print(e)
          print('An error occurred trying to provision compute.')
          exit()
  