code: def test_f1_score():
      clf = SkopeRules()
      rule0 = ("a > 0", (0, 0, 0))
      rule1 = ("a > 0", (0.5, 0.5, 0))
      rule2 = ("a > 0", (0.5, 0, 0))
  
      assert_equal(clf.f1_score(rule0), 0)
      assert_equal(clf.f1_score(rule1), 0.5)
      assert_equal(clf.f1_score(rule2), 0)
  
imports: import numpy
  from sklearn.model_selection import ParameterGrid
  from sklearn.datasets import load_iris, load_boston, make_blobs
  from sklearn.metrics import accuracy_score
  from sklearn.utils import check_random_state
  from sklearn.utils.testing import assert_array_equal
  from sklearn.utils.testing import assert_raises
  from sklearn.utils.testing import assert_warns_message
  from sklearn.utils.testing import assert_equal
  from sklearn.utils.testing import assert_in
  from sklearn.utils.testing import assert_not_in
  from sklearn.utils.testing import assert_not_equal
  from sklearn.utils.testing import assert_no_warnings
  from sklearn.utils.testing import assert_greater
  from sklearn.utils.testing import ignore_warnings
  from skrules import SkopeRules
label_desc: Use image node_id 8 for calling a global function with example usage: test_f1_score() without return types