code: def test_bruteforce_ellipsis(print_changed_only_false):
      # Check that the bruteforce ellipsis (used when the number of non-blank
      # characters exceeds N_CHAR_MAX) renders correctly.
  
      lr = LogisticRegression()
  
      # test when the left and right side of the ellipsis aren't on the same
      # line.
      expected = """
  LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
                     in...
                     multi_class='warn', n_jobs=None, penalty='l2',
                     random_state=None, solver='warn', tol=0.0001, verbose=0,
                     warm_start=False)"""
  
      expected = expected[1:]  # remove first \n
      assert expected == lr.__repr__(N_CHAR_MAX=150)
  
      # test with very small N_CHAR_MAX
      # Note that N_CHAR_MAX is not strictly enforced, but it's normal: to avoid
      # weird reprs we still keep the whole line of the right part (after the
      # ellipsis).
      expected = """
  Lo...
                     warm_start=False)"""
  
      expected = expected[1:]  # remove first \n
      assert expected == lr.__repr__(N_CHAR_MAX=4)
  
      # test with N_CHAR_MAX == number of non-blank characters: In this case we
      # don't want ellipsis
      full_repr = lr.__repr__(N_CHAR_MAX=float("inf"))
      n_nonblank = len("".join(full_repr.split()))
      assert lr.__repr__(N_CHAR_MAX=n_nonblank) == full_repr
      assert "..." not in full_repr
  
      # test with N_CHAR_MAX == number of non-blank characters - 10: the left and
      # right side of the ellispsis are on different lines. In this case we
      # want to expend the whole line of the right side
      expected = """
  LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
                     intercept_scaling=1, l1_ratio=None, max_i...
                     multi_class='warn', n_jobs=None, penalty='l2',
                     random_state=None, solver='warn', tol=0.0001, verbose=0,
                     warm_start=False)"""
      expected = expected[1:]  # remove first \n
      assert expected == lr.__repr__(N_CHAR_MAX=n_nonblank - 10)
  
      # test with N_CHAR_MAX == number of non-blank characters - 10: the left and
      # right side of the ellispsis are on the same line. In this case we don't
      # want to expend the whole line of the right side, just add the ellispsis
      # between the 2 sides.
      expected = """
  LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
                     intercept_scaling=1, l1_ratio=None, max_iter...,
                     multi_class='warn', n_jobs=None, penalty='l2',
                     random_state=None, solver='warn', tol=0.0001, verbose=0,
                     warm_start=False)"""
      expected = expected[1:]  # remove first \n
      assert expected == lr.__repr__(N_CHAR_MAX=n_nonblank - 4)
  
      # test with N_CHAR_MAX == number of non-blank characters - 2: the left and
      # right side of the ellispsis are on the same line, but adding the ellipsis
      # would actually make the repr longer. So we don't add the ellipsis.
      expected = """
  LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
                     intercept_scaling=1, l1_ratio=None, max_iter=100,
                     multi_class='warn', n_jobs=None, penalty='l2',
                     random_state=None, solver='warn', tol=0.0001, verbose=0,
                     warm_start=False)"""
      expected = expected[1:]  # remove first \n
      assert expected == lr.__repr__(N_CHAR_MAX=n_nonblank - 2)
  
imports: import re
  from pprint import PrettyPrinter
  import numpy
  from sklearn.utils._pprint import _EstimatorPrettyPrinter
  from sklearn.linear_model import LogisticRegressionCV
  from sklearn.pipeline import make_pipeline
  from sklearn.base import BaseEstimator, TransformerMixin
  from sklearn.feature_selection import SelectKBest, chi2
  from sklearn import config_context
label_desc: Use image node_id 8 for calling a global function with example usage: test_bruteforce_ellipsis(print_changed_only_false) without return types