code: def test_run_with_exception(self, context, config):
      # Test the run method with a mock logic unit that raises an exception
      pipeline = Pipeline(context)
  
      class MockLogicUnit(BaseLogicUnit):
          def execute(self, data, logger, config, context):
              raise Exception("Mock exception")
  
      pipeline.add_step(MockLogicUnit())
      with pytest.raises(Exception):
          pipeline.run("InitialData")
  
imports: from typing import Any, Optional
  from unittest.mock import Mock
  import pandas
  import pytest
  from pandasai.llm.fake import FakeLLM
  from pandasai.pipelines.base_logic_unit import BaseLogicUnit
  from pandasai.pipelines.pipeline import Pipeline
  from pandasai.pipelines.pipeline_context import PipelineContext
  from pandasai.schemas.df_config import Config
  from pandasai.smart_dataframe import SmartDataframe
label_desc: Use image node_id 13 for calling the TestPipeline obj's underlying member method code with example usage: obj.test_run_with_exception(context, config) without return types