code: def test_cramers_v_imbalanced_ignore_min_category_size():
      dist1 = np.array([0] * 9900 + [1] * 100)
      dist2 = np.array([0] * 9950 + [1] * 50)
      res = cramers_v(
          dist1=dist1,
          dist2=dist2,
          balance_classes=True,
          min_category_size_ratio=0.1,
      )
      assert_that(res, close_to(0.17, 0.01))
  
imports: import numpy
  from hamcrest import assert_that, calling, close_to, equal_to, raises
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.utils.distribution.drift import cramers_v, earth_movers_distance, kolmogorov_smirnov
label_desc: Use image node_id 20 for calling a global function with example usage: test_cramers_v_imbalanced_ignore_min_category_size() without return types