code: def _roc_auc_score(p, q):
      from sklearn.metrics import roc_auc_score
  
      return roc_auc_score(np.abs(p) > 0, np.abs(q))
  
imports: from functools import partial
  import numpy
  from scipy.spatial.distance import cdist
  from ...utils import _check_option, _validate_type, fill_doc
label_desc: Use image node_id 12 for calling a global function with example usage: _roc_auc_score(p, q) and returns: roc_auc_score