code: def cv_extract_params(cvs, keys, vals, n):
      return {
          k: cvs.extract_param(tok, v, n)
          for (k, tok), v in zip(keys, vals)
      }
  
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 5 for calling a global function with example usage: cv_extract_params(cvs, keys, vals, n) and returns: unknown