class_docstr: Helper class that interacts with the SageMaker training service.
class_docstr_tok: ["Helper","class","that","interacts","with","the","SageMaker","training","service","."]
docstr: Wait for the underlying sagemaker job to finish and displays its logs .
  
  This method blocks on the sagemaker job completing for up to the timeout value (if
  specified). If timeout is ``None``, this method will block until the job is completed.
  
  Args:
      timeout (int): Timeout in seconds to wait until the job is completed. ``None`` by
          default.
  
  Returns: None
docstr_tok: ["Wait","for","the","underlying","sagemaker","job","to","finish","and","displays","its","logs",".","This","method","blocks","on","the","sagemaker","job","completing","for","up","to","the","timeout","value","(","if","specified",")",".","If","timeout","is","``","None","``",",","this","method","will","block","until","the","job","is","completed",".","Args",":","timeout","(","int",")",":","Timeout","in","seconds","to","wait","until","the","job","is","completed",".","``","None","``","by","default",".","Returns",":","None"]
code: def wait(self, timeout: int = None):
      """Wait for the underlying sagemaker job to finish and displays its logs .
  
      This method blocks on the sagemaker job completing for up to the timeout value (if
      specified). If timeout is ``None``, this method will block until the job is completed.
  
      Args:
          timeout (int): Timeout in seconds to wait until the job is completed. ``None`` by
              default.
  
      Returns: None
      """
  
      self._last_describe_response = _logs_for_job(
          sagemaker_session=self.sagemaker_session,
          job_name=self.job_name,
          wait=True,
          timeout=timeout,
      )
  
imports: from __future__ import absolute_import
  import dataclasses
  import os
  import re
  import shutil
  import sys
  import json
  import secrets
  from typing import Callable, Dict, List, Optional, Tuple, Union, TYPE_CHECKING
  from urllib.parse import urlparse
  from io import BytesIO
  from sagemaker.config.config_schema import REMOTE_FUNCTION_ENVIRONMENT_VARIABLES, REMOTE_FUNCTION_IMAGE_URI, REMOTE_FUNCTION_DEPENDENCIES, REMOTE_FUNCTION_PRE_EXECUTION_COMMANDS, REMOTE_FUNCTION_PRE_EXECUTION_SCRIPT, REMOTE_FUNCTION_INCLUDE_LOCAL_WORKDIR, REMOTE_FUNCTION_INSTANCE_TYPE, REMOTE_FUNCTION_JOB_CONDA_ENV, REMOTE_FUNCTION_ROLE_ARN, REMOTE_FUNCTION_S3_ROOT_URI, REMOTE_FUNCTION_S3_KMS_KEY_ID, REMOTE_FUNCTION_VOLUME_KMS_KEY_ID, REMOTE_FUNCTION_TAGS, REMOTE_FUNCTION_VPC_CONFIG_SUBNETS, REMOTE_FUNCTION_VPC_CONFIG_SECURITY_GROUP_IDS, REMOTE_FUNCTION_ENABLE_INTER_CONTAINER_TRAFFIC_ENCRYPTION
  from sagemaker.experiments._run_context import _RunContext
  from sagemaker.experiments.run import Run
  from sagemaker.image_uris import get_base_python_image_uri
  from sagemaker import image_uris
  from sagemaker.remote_function.checkpoint_location import CheckpointLocation
  from sagemaker.session import get_execution_role, _logs_for_job, Session
  from sagemaker.utils import name_from_base, _tmpdir, resolve_value_from_config, format_tags, Tags
  from sagemaker.s3 import s3_path_join, S3Uploader
  from sagemaker import vpc_utils
  from sagemaker.remote_function.core.stored_function import StoredFunction, _SerializedData
  from sagemaker.remote_function.core.pipeline_variables import Context
  from sagemaker.remote_function.runtime_environment.runtime_environment_manager import RuntimeEnvironmentManager, _DependencySettings
  from sagemaker.remote_function import logging_config
  from sagemaker.remote_function.spark_config import SparkConfig
  from sagemaker.spark import defaults
  from sagemaker.remote_function.custom_file_filter import CustomFileFilter, copy_workdir, resolve_custom_file_filter_from_config_file
label_desc: Use image node_id 7 for calling the _Job obj's underlying member method code with example usage: obj.wait(timeout) without return types