code: def test_arrays_transformer_numpy():
      X = np.array([[0, 0], [1, 1]])
      y = np.array([[0, 0], [1, 1]])
  
      arrays_transformer = ArraysTransformer(X, y)
      X_res, y_res = arrays_transformer.transform(X, y)
      assert isinstance(X_res, np.ndarray)
      assert isinstance(y_res, np.ndarray)
  
imports: from collections import Counter, OrderedDict
  import numpy
  import pytest
  from sklearn.cluster import KMeans
  from sklearn.neighbors import NearestNeighbors
  from sklearn.neighbors._base import KNeighborsMixin
  from sklearn.utils._testing import assert_array_equal
  from imblearn.utils import check_neighbors_object, check_sampling_strategy, check_target_type
  from imblearn.utils._validation import ArraysTransformer, _deprecate_positional_args, _is_neighbors_object
  from imblearn.utils.testing import _CustomNearestNeighbors
label_desc: Use image node_id 18 for calling a global function with example usage: test_arrays_transformer_numpy() without return types