code: def _precision_score(p, q):
      from sklearn.metrics import precision_score
  
      return precision_score(_abs_col_sum(p) > 0, _abs_col_sum(q) > 0)
  
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 16 for calling a global function with example usage: _precision_score(p, q) and returns: precision_score