code: def get_named_labels(labels, numeric_labels):
      return np.array(
          [labels[num_label] for num_label in numeric_labels]
      )
  
file_path: wandb/wandb/sklearn/calculate/class_proportions.py
imports: from warnings import simplefilter
  import numpy
  from sklearn.utils.multiclass import unique_labels
  import wandb
  from wandb.sklearn import utils
label_desc: Use image node_id 4 for calling a global function with example usage: get_named_labels(labels, numeric_labels) and returns: np