code: def test_get_unified_responses_and_suggestions(
      feedback_dataset_guidelines: str,
      feedback_dataset_fields: List["AllowedFieldTypes"],
      feedback_dataset_questions: List["AllowedQuestionTypes"],
      feedback_dataset_records_with_paired_suggestions: List[
          FeedbackRecord
      ],
      question: str,
      expected_unified_responses: Optional[Union[List, str, int]],
      value_type: type,
      strategy: str,
  ):
      dataset = FeedbackDataset(
          guidelines=feedback_dataset_guidelines,
          fields=feedback_dataset_fields,
          questions=feedback_dataset_questions,
      )
      dataset.add_records(
          records=feedback_dataset_records_with_paired_suggestions
      )
  
      if question == "question-1":
          with pytest.raises(
              NotImplementedError,
              match="^This function is not available",
          ):
              get_unified_responses_and_suggestions(dataset, question)
      else:
          unified_dataset = dataset.compute_unified_responses(
              question, strategy
          )
          (
              unified_responses,
              suggestions,
          ) = get_unified_responses_and_suggestions(
              unified_dataset, question
          )
          assert (
              len(unified_responses)
              == len(suggestions)
              == len(expected_unified_responses)
          )
          assert all(
              [
                  isinstance(response, value_type)
                  for response in unified_responses
              ]
          )
  
imports: from typing import TYPE_CHECKING, List, Optional, Union
  import pytest
  from argilla.client.feedback.dataset import FeedbackDataset
  from argilla.client.feedback.metrics.utils import get_responses_and_suggestions_per_user, get_unified_responses_and_suggestions
  from argilla.client.feedback.schemas import FeedbackRecord
label_desc: Use image node_id 2 for calling a global function with example usage: test_get_unified_responses_and_suggestions(feedback_dataset_guidelines, feedback_dataset_fields, feedback_dataset_questions, feedback_dataset_records_with_paired_suggestions, question, expected_unified_responses, value_type, strategy) without return types