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,
          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.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
  
file_path: sagemaker-python-sdk/tests/unit/sagemaker/tensorflow/test_estimator_attach.py
imports: from __future__ import absolute_import
  import pytest
  from mock import MagicMock, Mock, patch
  from packaging.version import Version
  from sagemaker import image_uris
  from sagemaker.tensorflow import TensorFlow
label_desc: Use image node_id 1 for calling a global function with example usage: sagemaker_session() and returns: session