class_docstr: Unit test for Smart Data Lake Result Validation
class_docstr_tok: ["Unit","test","for","Smart","Data","Lake","Result","Validation"]
code: def test_result_is_not_of_dict_type(self, context, logger):
      # Test Flow : Code Execution Successful with no exceptions
      result_validation = ResultValidation()
  
      context._query_exec_tracker = Mock()
      context.query_exec_tracker.get_execution_time = Mock()
      context.query_exec_tracker.add_step = Mock()
  
      result = result_validation.execute(
          input="Not Dict Type Result", context=context, logger=logger
      )
  
      assert not context.query_exec_tracker.add_step.called
      assert isinstance(result_validation, ResultValidation)
      assert result == "Not Dict Type Result"
  
imports: from typing import Optional
  from unittest.mock import Mock
  import pandas
  import pytest
  from pandasai.helpers.logger import Logger
  from pandasai.llm.fake import FakeLLM
  from pandasai.pipelines.pipeline_context import PipelineContext
  from pandasai.smart_dataframe import SmartDataframe
  from pandasai.pipelines.smart_datalake_chat.result_validation import ResultValidation
label_desc: Use image node_id 9 for calling the TestResultValidation obj's underlying member method code with example usage: obj.test_result_is_not_of_dict_type(context, logger) without return types