code: def delayed(function):
      """Decorator used to capture the arguments of a function."""
  
      @functools.wraps(function)
      def delayed_function(*args, **kwargs):
          return _FuncWrapper(function), args, kwargs
  
      return delayed_function
  
imports: import functools
  import logging
  import numbers
  import time
  import warnings
  from collections import Counter
  from contextlib import suppress
  from itertools import compress
  from traceback import format_exc
  import numpy
  import scipy.sparse
  from catboost import CatBoostClassifier, CatBoostRegressor
  from joblib import Parallel, logger
  from scipy.sparse import issparse
  from sklearn import config_context, get_config
  from sklearn.base import clone, is_classifier
  from sklearn.exceptions import FitFailedWarning, NotFittedError
  from sklearn.metrics import check_scoring
  from sklearn.metrics._scorer import _MultimetricScorer
  from sklearn.model_selection import check_cv
  from sklearn.utils.fixes import np_version, parse_version
  from sklearn.utils.validation import indexable
label_desc: Use image node_id 17 for calling a global function with example usage: delayed(function) and returns: delayed_function, _FuncWrapper,  args,  kwargs