code: def test_two_local_run_init_with_same_run_name_and_different_exp_names(
      sagemaker_session,
  ):
      exp_name1 = f"my-two-local-exp1-{name()}"
      exp_name2 = f"my-two-local-exp2-{name()}"
      run_name = "test-run"
      with cleanup_exp_resources(
          exp_names=[exp_name1, exp_name2],
          sagemaker_session=sagemaker_session,
      ):
          # Run name is not provided, will create a new TC
          with Run(
              experiment_name=exp_name1,
              run_name=run_name,
              sagemaker_session=sagemaker_session,
          ) as run1:
              pass
          with Run(
              experiment_name=exp_name2,
              run_name=run_name,
              sagemaker_session=sagemaker_session,
          ) as run2:
              pass
  
          assert run1.experiment_name != run2.experiment_name
          assert run1.run_name == run2.run_name
          assert (
              run1._trial_component.trial_component_name
              != run2._trial_component.trial_component_name
          )
          assert (
              run1._trial_component.trial_component_name
              == f"{exp_name1}{DELIMITER}{run_name}"
          )
          assert (
              run2._trial_component.trial_component_name
              == f"{exp_name2}{DELIMITER}{run_name}"
          )
  
imports: from __future__ import absolute_import
  import datetime
  import json
  import os
  import time
  import pytest
  from tests.conftest import CUSTOM_S3_OBJECT_KEY_PREFIX
  from tests.integ.sagemaker.experiments.conftest import TAGS
  from sagemaker.experiments._api_types import _TrialComponentStatusType
  from sagemaker.experiments._utils import is_run_trial_component
  from sagemaker.processing import FrameworkProcessor
  from sagemaker.pytorch import PyTorch
  from sagemaker.s3 import S3Uploader
  from sagemaker.xgboost import XGBoostModel
  from tests.integ import DATA_DIR
  from sagemaker.experiments._metrics import BATCH_SIZE
  from sagemaker.experiments.trial_component import _TrialComponent
  from sagemaker.sklearn import SKLearn
  from sagemaker.utils import retry_with_backoff, unique_name_from_base
  from tests.integ.sagemaker.experiments.helpers import name, cleanup_exp_resources
  from sagemaker.experiments.run import RUN_NAME_BASE, DELIMITER
  from sagemaker.experiments import Run, load_run, list_runs
  from sagemaker.experiments._helper import _DEFAULT_ARTIFACT_PREFIX
label_desc: Use image node_id 3 for calling a global function with example usage: test_two_local_run_init_with_same_run_name_and_different_exp_names(sagemaker_session) without return types