code: def _print_logs_info(job_id, project_id):
      """Prints job id and access url.
  
      Args:
          job_id: The job id to print.
          project_id: The project id that is used to generate job access url.
      """
      print("\nJob submitted successfully.")
      print("Your job ID is: ", job_id)
      print("\nPlease access your training job information here:")
      print(
          "https://console.cloud.google.com/mlengine/jobs/{}?project={}".format(
              job_id, project_id
          )
      )
      print(
          "\nPlease access your training job logs here: "
          "https://console.cloud.google.com/logs/viewer?resource=ml_job%2F"
          "job_id%2F{}&interval=NO_LIMIT&project={}\n".format(
              job_id, project_id
          )
      )
  
file_path: cloud/src/python/tensorflow_cloud/core/deploy.py
imports: import subprocess
  import uuid
  from .None import gcp
  from .None import machine_config
  from googleapiclient import discovery
  from googleapiclient import errors
  from ..utils import google_api_client
label_desc: Use image node_id 3 for calling a global function with example usage: _print_logs_info(job_id, project_id) without return types