code: def one_hot(feat, n_clusters):
      return np.eye(n_clusters)[feat]
  
file_path: fairseq/examples/textless_nlp/gslm/metrics/abx_metrics/dump_abx_feats.py
imports: import argparse
  import logging
  import os
  import joblib
  import numpy
  from examples.textless_nlp.gslm.speech2unit.clustering.utils import get_audio_files
  from examples.textless_nlp.gslm.speech2unit.pretrained.utils import get_features
label_desc: Use image node_id 3 for calling a global function with example usage: one_hot(feat, n_clusters) and returns: np