code: def warn_fit_failure(error_score, e):
      warnings.warn(
          "Classifier fit failed. The score on this train-test"
          " partition for these parameters will be set to %f. "
          "Details: \n%r" % (error_score, e),
          FitFailedWarning,
      )
  
imports: from __future__ import absolute_import, division, print_function
  import warnings
  from collections import defaultdict
  from threading import Lock
  from timeit import default_timer
  import numpy
  import packaging.version
  from dask.base import normalize_token
  from scipy import sparse
  from scipy.stats import rankdata
  from sklearn.exceptions import FitFailedWarning
  from sklearn.pipeline import FeatureUnion, Pipeline
  from sklearn.utils.validation import check_consistent_length
  from toolz import pluck
  from .._compat import Mapping
  from .utils import _index_param_value, _num_samples, _safe_indexing, copy_estimator
label_desc: Use image node_id 1 for calling a global function with example usage: warn_fit_failure(error_score, e) without return types