code: def test_multiclass_fit_resample():
      y = Y.copy()
      y[5] = 2
      y[6] = 2
      rus = RandomUnderSampler(random_state=RND_SEED)
      X_resampled, y_resampled = rus.fit_resample(X, y)
      count_y_res = Counter(y_resampled)
      assert count_y_res[0] == 2
      assert count_y_res[1] == 2
      assert count_y_res[2] == 2
  
file_path: imbalanced-learn/imblearn/under_sampling/_prototype_selection/tests/test_random_under_sampler.py
imports: from collections import Counter
  from datetime import datetime
  import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.utils._testing import assert_array_equal
  from imblearn.under_sampling import RandomUnderSampler
label_desc: Use image node_id 3 for calling a global function with example usage: test_multiclass_fit_resample() without return types