code: def _get_single_annotator_agreement(
      labels_multiannotator: np.ndarray,
      num_annotations: np.ndarray,
      annotator_idx: int,
  ) -> float:
      """Returns the average agreement of a given annotator other annotators that label the same example.
  
      Parameters
      ----------
      labels_multiannotator : np.ndarray
          2D numpy array of multiple given labels for each example with shape ``(N, M)``,
          where N is the number of examples and M is the number of annotators.
          For more details, labels in the same format expected by the `~cleanlab.multiannotator.get_label_quality_multiannotator`.
      num_annotations : np.ndarray
          An array of shape ``(N,)`` with the number of annotators that have labeled each example.
      annotator_idx : int
          The index of the annotator we want to compute the annotator agreement for.
  
      Returns
      -------
      annotator_agreement : float
          An float repesenting the agreement of each annotator with other annotators that labeled the same examples.
      """
      annotator_agreement_per_example = np.zeros(
          len(labels_multiannotator)
      )
  
      for i, labels in enumerate(labels_multiannotator):
          labels_subset = labels[~np.isnan(labels)]
          examples_num_annotators = len(labels_subset)
          if examples_num_annotators > 1:
              annotator_agreement_per_example[i] = (
                  np.sum(labels_subset == labels[annotator_idx]) - 1
              ) / (examples_num_annotators - 1)
  
      adjusted_num_annotations = num_annotations - 1
      if np.sum(adjusted_num_annotations) == 0:
          annotator_agreement = np.NaN
      else:
          annotator_agreement = np.average(
              annotator_agreement_per_example,
              weights=num_annotations - 1,
          )
  
      return annotator_agreement
  
imports: import warnings
  import numpy
  import pandas
  from typing import List, Dict, Any, Union, Tuple, Optional
  from cleanlab.rank import get_label_quality_scores
  from cleanlab.internal.util import get_num_classes, value_counts
  from cleanlab.internal.constants import CLIPPING_LOWER_BOUND
  from cleanlab.internal.multiannotator_utils import assert_valid_inputs_multiannotator, assert_valid_pred_probs, check_consensus_label_classes, find_best_temp_scaler, temp_scale_pred_probs
label_desc: Use image node_id 11 for calling a global function with example usage: _get_single_annotator_agreement(labels_multiannotator, num_annotations, annotator_idx) and returns: annotator_agreement