code: def test__repr__():
      assert cuBinarizer().__repr__() == "Binarizer()"
      assert (
          cuFunctionTransformer().__repr__() == "FunctionTransformer()"
      )
      assert cuKBinsDiscretizer().__repr__() == "KBinsDiscretizer()"
      assert cuKernelCenterer().__repr__() == "KernelCenterer()"
      assert cuMaxAbsScaler().__repr__() == "MaxAbsScaler()"
      assert cuMinMaxScaler().__repr__() == "MinMaxScaler()"
      assert cuMissingIndicator().__repr__() == "MissingIndicator()"
      assert cuNormalizer().__repr__() == "Normalizer()"
      assert cuPolynomialFeatures().__repr__() == "PolynomialFeatures()"
      assert (
          cuQuantileTransformer().__repr__() == "QuantileTransformer()"
      )
      assert cuRobustScaler().__repr__() == "RobustScaler()"
      assert cuSimpleImputer().__repr__() == "SimpleImputer()"
      assert cuStandardScaler().__repr__() == "StandardScaler()"
  
imports: from cuml.internals.safe_imports import gpu_only_import
  import pytest
  import sklearn
  from cuml.preprocessing import Binarizer, FunctionTransformer, KBinsDiscretizer, KernelCenterer, MaxAbsScaler, MinMaxScaler, MissingIndicator, Normalizer, PolynomialFeatures, PowerTransformer, QuantileTransformer, RobustScaler, SimpleImputer, StandardScaler
  from cuml.preprocessing import add_dummy_feature, binarize, maxabs_scale, minmax_scale, normalize, power_transform, quantile_transform, robust_scale, scale
  from sklearn.preprocessing import Binarizer, FunctionTransformer, KBinsDiscretizer, KernelCenterer, MaxAbsScaler, MinMaxScaler, Normalizer, PolynomialFeatures, PowerTransformer, QuantileTransformer, RobustScaler, StandardScaler
  from sklearn.preprocessing import add_dummy_feature, binarize, maxabs_scale, minmax_scale, normalize, power_transform, quantile_transform, robust_scale, scale
  from sklearn.impute import MissingIndicator, SimpleImputer
  from cuml.testing.test_preproc_utils import clf_dataset, int_dataset, blobs_dataset, nan_filled_positive, sparse_nan_filled_positive, sparse_clf_dataset, sparse_blobs_dataset, sparse_int_dataset, sparse_imputer_dataset, sparse_dataset_with_coo
  from cuml.testing.test_preproc_utils import assert_allclose
  from cuml.metrics import pairwise_kernels
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 39 for calling a global function with example usage: test__repr__() without return types