code: def extract_column(X, col_name):
      """Extract specified column from dataframe."""
      if col_name is None or col_name not in list(X.columns):
          return X, None
      w = X[col_name].copy()
      X = X.drop(col_name, axis=1)
      return X, w
  
imports: import logging
  import math
  import pickle
  import random
  import sys
  import time
  from typing import Callable, List, Tuple, Union
  import numpy
  import pandas
  import scipy.stats
  from numpy.typing import ArrayLike
  from pandas import DataFrame, Series
  from sklearn.model_selection import LeaveOneGroupOut, RepeatedKFold, RepeatedStratifiedKFold, train_test_split
  from autogluon.common.utils.resource_utils import ResourceManager
  from ..constants import BINARY, LARGE_DATA_THRESHOLD, MULTICLASS, MULTICLASS_UPPER_LIMIT, QUANTILE, REGRESS_THRESHOLD_LARGE_DATA, REGRESS_THRESHOLD_SMALL_DATA, REGRESSION, SOFTCLASS
  from ..metrics import Scorer, accuracy, pinball_loss, root_mean_squared_error
  from .miscs import warning_filter
label_desc: Use image node_id 18 for calling a global function with example usage: extract_column(X, col_name) and returns: X,  w, X,  None