code: def _aggregate_score_dicts(scores):
      """Aggregate the list of dict to dict of np ndarray"""
      return {
          key: np.asarray([score[key] for score in scores])
          for key in scores[0]
      }
  
file_path: sk-dist/skdist/distribute/utils.py
imports: import numbers
  import numpy
  from sklearn.metrics import check_scoring
  from .validation import _safe_indexing
label_desc: Use image node_id 1 for calling a global function with example usage: _aggregate_score_dicts(scores) and returns: unknown