code: def test_agreement_metrics(
      feedback_dataset_guidelines: str,
      feedback_dataset_fields: List["AllowedFieldTypes"],
      feedback_dataset_questions: List["AllowedQuestionTypes"],
      feedback_dataset_records_with_paired_suggestions: List[
          FeedbackRecord
      ],
      question: str,
      metric_names: Union[str, List[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 in ("question-1",):
          with pytest.raises(
              NotImplementedError,
              match=r"^No metrics are defined currently for",
          ):
              AgreementMetric(dataset=dataset, question_name=question)
      else:
          metric = AgreementMetric(
              dataset=dataset, question_name=question
          )
          # Test for repr method
          assert (
              repr(metric)
              == f"AgreementMetric(question_name={question})"
          )
          metrics_report = metric.compute(metric_names)
          if isinstance(metric_names, str):
              metrics_report = [metrics_report]
          elif isinstance(metric_names, list):
              if len(metric_names) == 1:
                  metrics_report = [metrics_report]
          assert isinstance(metrics_report, list)
          assert all(
              [
                  isinstance(m, AgreementMetricResult)
                  for m in metrics_report
              ]
          )
  
file_path: argilla/tests/integration/client/feedback/metrics/test_agreement_metrics.py
imports: import uuid
  from typing import TYPE_CHECKING, FrozenSet, List, Tuple, Union
  import pytest
  from argilla import User, init
  from argilla.client.feedback.dataset import FeedbackDataset
  from argilla.client.feedback.metrics.agreement_metrics import AgreementMetric, AgreementMetricResult, prepare_dataset_for_annotation_task
  from argilla.client.feedback.schemas import FeedbackRecord
  from tests.factories import UserFactory, WorkspaceFactory
label_desc: Use image node_id 3 for calling a global function with example usage: test_agreement_metrics(feedback_dataset_guidelines, feedback_dataset_fields, feedback_dataset_questions, feedback_dataset_records_with_paired_suggestions, question, metric_names) without return types