code: def test_subsamples():
      X, y, w, c = gen_toy_problem_4d()
      theil_sen = TheilSenRegressor(
          n_subsamples=X.shape[0], random_state=0
      ).fit(X, y)
      lstq = LinearRegression().fit(X, y)
      # Check for exact the same results as Least Squares
      assert_array_almost_equal(theil_sen.coef_, lstq.coef_, 9)
  
imports: import os
  import re
  import sys
  from contextlib import contextmanager
  import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal, assert_array_equal, assert_array_less
  from scipy.linalg import norm
  from scipy.optimize import fmin_bfgs
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.linear_model import LinearRegression, TheilSenRegressor
  from sklearn.linear_model._theil_sen import _breakdown_point, _modified_weiszfeld_step, _spatial_median
  from sklearn.utils._testing import assert_almost_equal
label_desc: Use image node_id 16 for calling a global function with example usage: test_subsamples() without return types