code: def compute_metric_value(func, classes, true_y, pred_y, metric):
      """Compute metric from the given function, true and predicted values.
  
      :param func: The metric function to evaluate.
      :type func: function
      :param classes: List of classes.
      :type classes: list
      :param true_y: True y values.
      :type true_y: numpy.ndarray
      :param pred_y: Predicted y values.
      :type pred_y: numpy.ndarray
      :param metric: Metric to compute.
      :type metric: str
      :return: The computed metric value.
      :rtype: float
      """
      requires_pos_label = (
          metric == Metrics.RECALL_SCORE
          or metric == Metrics.PRECISION_SCORE
          or metric == Metrics.F1_SCORE
      )
      if requires_pos_label:
          ordered_labels = get_ordered_classes(classes, true_y, pred_y)
          if ordered_labels is not None and len(ordered_labels) == 2:
              return func(true_y, pred_y, pos_label=ordered_labels[1])
      return func(true_y, pred_y)
  
imports: import logging
  import numbers
  from enum import Enum
  import numpy
  import pandas
  from lightgbm import Booster, LGBMClassifier, LGBMRegressor
  from sklearn.metrics import mean_absolute_error, mean_squared_error, median_absolute_error, r2_score
  from erroranalysis._internal.cohort_filter import filter_from_cohort
  from erroranalysis._internal.constants import DIFF, LEAF_INDEX, METHOD, PRED_Y, ROW_INDEX, SPLIT_FEATURE, SPLIT_INDEX, TRUE_Y, CohortFilterMethods, Metrics, ModelTask, TreeNode, error_metrics, f1_metrics, metric_to_display_name, precision_metrics, recall_metrics, regression_metrics
  from erroranalysis._internal.metrics import get_ordered_classes, metric_to_func
  from erroranalysis._internal.process_categoricals import process_categoricals
  from erroranalysis._internal.utils import is_spark
  from raiutils.exceptions import UserConfigValidationException
label_desc: Use image node_id 23 for calling a global function with example usage: compute_metric_value(func, classes, true_y, pred_y, metric) and returns: func, func