code: def feature_store_session():
      boto_session = boto3.Session(region_name="us-east-2")
  
      sagemaker_client = boto_session.client("sagemaker")
      featurestore_runtime_client = boto_session.client(
          "sagemaker-featurestore-runtime"
      )
  
      return Session(
          boto_session=boto_session,
          sagemaker_client=sagemaker_client,
          sagemaker_featurestore_runtime_client=featurestore_runtime_client,
      )
  
imports: from __future__ import absolute_import
  import datetime
  import json
  import time
  import dateutil.parser
  from contextlib import contextmanager
  import boto3
  import numpy
  import pandas
  import pytest
  from pandas import DataFrame
  from sagemaker.feature_store.feature_utils import get_feature_group_as_dataframe
  from sagemaker.feature_store.feature_definition import FractionalFeatureDefinition, StringFeatureDefinition, ListCollectionType
  from sagemaker.feature_store.feature_group import FeatureGroup
  from sagemaker.feature_store.feature_store import FeatureStore
  from sagemaker.feature_store.inputs import FeatureValue, FeatureParameter, TableFormatEnum, Filter, ResourceEnum, Identifier, DeletionModeEnum, TtlDuration, OnlineStoreConfigUpdate, OnlineStoreStorageTypeEnum
  from sagemaker.feature_store.dataset_builder import JoinTypeEnum
  from sagemaker.session import get_execution_role, Session
  from tests.integ.timeout import timeout
  from urllib.parse import urlparse
label_desc: Use image node_id 3 for calling a global function with example usage: feature_store_session() and returns: Session