class_docstr: Options:
      - "majority": the majority value of the labels
      - "majority_weighted": the majority value of the labels, weighted by annotator's confidence
      - "disagreement": preserve the natural disagreement between annotators
  
  Examples:
      >>> from argilla import LabelQuestion, LabelQuestionStrategy
      >>> strategy = LabelQuestionStrategy("majority")
      >>> records = strategy.compute_unified_responses(records, question=LabelQuestion(...))
docstr: The function `_majority` takes a list of feedback records and a question, and determines the
  majority value for that question based on the submitted responses.
  
  Args:
  - records The `records` parameter is a list of `FeedbackRecord` objects. Each
  `FeedbackRecord` object represents a feedback record and contains information about the
  responses given by a user.
  - question The "question" parameter is a string that represents the specific question for
  which you want to determine the majority value.
  
  Returns: a modified version of the input `FeedbackRecord` object.
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code: def _majority(self, records: List[FeedbackRecord], question: str):
      """
      The function `_majority` takes a list of feedback records and a question, and determines the
      majority value for that question based on the submitted responses.
  
      Args:
      - records The `records` parameter is a list of `FeedbackRecord` objects. Each
      `FeedbackRecord` object represents a feedback record and contains information about the
      responses given by a user.
      - question The "question" parameter is a string that represents the specific question for
      which you want to determine the majority value.
  
      Returns: a modified version of the input `FeedbackRecord` object.
      """
      for rec in records:
          if not rec.responses:
              continue
          counter = Counter()
          # only allow for submitted responses
          responses = [
              resp
              for resp in rec.responses
              if resp.status == "submitted"
          ]
          # get responses with a value that is most frequent
          for resp in responses:
              if question in resp.values:
                  counter.update([resp.values[question].value])
          if not counter.values():
              continue
          # Find the maximum count
          max_count = max(counter.values())
          # Get a list of values with the maximum count
          most_common_values = [
              value
              for value, count in counter.items()
              if count == max_count
          ]
          if len(most_common_values) > 1:
              majority_value = random.choice(most_common_values)
          else:
              majority_value = counter.most_common(1)[0][0]
  
          rec._unified_responses[question] = [
              UnifiedValueSchema(
                  value=majority_value, strategy=self.value
              )
          ]
      return rec
  
imports: import random
  from abc import abstractmethod
  from collections import Counter
  from enum import Enum
  from typing import Any, Dict, List, Union
  import pandas
  from argilla.client.feedback.schemas import FeedbackRecord, LabelQuestion, MultiLabelQuestion, RankingQuestion, RatingQuestion, ValueSchema
  from argilla.pydantic_v1 import BaseModel, root_validator, validator
label_desc: Use image node_id 1 for calling the LabelQuestionStrategy obj's underlying member method code with example usage: obj._majority(records, question) and returns: rec