code: def test_add_remove_columns():
      """Checks that no exceptions are raised whenever columns are dropped and/or added."""
  
      X = pd.read_csv(datasets.TrumpApproval().path)
      Y = X.pop("five_thirty_eight")
  
      lin_reg = lm.LinearRegression()
      for xb, yb in zip(np.array_split(X, 10), np.array_split(Y, 10)):
          # Pick half of the columns at random
          cols = np.random.choice(
              X.columns, len(X.columns) // 2, replace=False
          )
          lin_reg.learn_many(xb[cols], yb)
  
imports: from __future__ import annotations
  import copy
  import itertools
  import math
  import random
  import numpy
  import pandas
  import pytest
  from sklearn import linear_model
  from sklearn.datasets import make_classification, make_regression
  from sklearn.metrics import log_loss
  from river import datasets, optim, preprocessing, stream, utils
  from river import linear_model
label_desc: Use image node_id 5 for calling a global function with example usage: test_add_remove_columns() without return types