code: def sagemaker_session():
      boto_mock = Mock(name="boto_session", region_name=REGION)
      session = Mock(
          name="sagemaker_session",
          boto_session=boto_mock,
          boto_region_name=REGION,
          config=None,
          local_mode=False,
          s3_resource=None,
          s3_client=None,
          settings=SessionSettings(),
          default_bucket_prefix=None,
      )
      session.default_bucket = Mock(
          name="default_bucket", return_value=BUCKET_NAME
      )
      session.expand_role = Mock(name="expand_role", return_value=ROLE)
      describe = {
          "ModelArtifacts": {"S3ModelArtifacts": "s3://m/m.tar.gz"}
      }
      session.sagemaker_client.describe_training_job = Mock(
          return_value=describe
      )
      session.sagemaker_client.describe_endpoint = Mock(
          return_value=ENDPOINT_DESC
      )
      session.sagemaker_client.describe_endpoint_config = Mock(
          return_value=ENDPOINT_CONFIG_DESC
      )
      session.sagemaker_client.list_tags = Mock(
          return_value=LIST_TAGS_RESULT
      )
      # For tests which doesn't verify config file injection, operate with empty config
      session.sagemaker_config = {}
      return session
  
imports: from __future__ import absolute_import
  import json
  import logging
  import os
  from mock import patch, Mock, MagicMock
  from packaging import version
  import pytest
  from sagemaker.estimator import _TrainingJob
  from sagemaker.session_settings import SessionSettings
  from sagemaker.tensorflow import TensorFlow
  from sagemaker.instance_group import InstanceGroup
  from sagemaker.workflow.parameters import ParameterString, ParameterBoolean
  from tests.unit import DATA_DIR
label_desc: Use image node_id 1 for calling a global function with example usage: sagemaker_session() and returns: session