code: def _call_if_callable(metrics):
      if callable(metrics):
          return metrics()
      return metrics
  
imports: import warnings
  from abc import ABCMeta, abstractmethod
  import numpy
  from sklearn.base import BaseEstimator, MultiOutputMixin
  from ...None import tensor
  from ...tensor.reshape.reshape import _reshape
  from ..metrics.pairwise import PAIRWISE_DISTANCE_FUNCTIONS
  from ..metrics import pairwise_distances_topk
  from ..utils import check_array
  from ..utils.validation import check_is_fitted
  from ._ball_tree import create_ball_tree, ball_tree_query, SklearnBallTree
  from ._kd_tree import create_kd_tree, kd_tree_query, SklearnKDTree
  from ._faiss import build_faiss_index, faiss_query, METRIC_TO_FAISS_METRIC_TYPE
  from ._proxima import build_proxima_index, proxima_query, METRIC_TO_PROXIMA_METRIC_TYPE
  from ._kneighbors_graph import KNeighborsGraph
label_desc: Use image node_id 1 for calling a global function with example usage: _call_if_callable(metrics) and returns: metrics, metrics