code: def test_elasticnet_methods(train_device, infer_device):
      ref_model = skElasticNet()
      ref_model.fit(X_train_reg, y_train_reg)
      ref_output = ref_model.score(X_train_reg, y_train_reg)
  
      model = ElasticNet()
      with using_device_type(train_device):
          model.fit(X_train_reg, y_train_reg)
      with using_device_type(infer_device):
          output = model.score(X_train_reg, y_train_reg)
  
      tol = 0.01
      assert ref_output - tol <= output <= ref_output + tol
  
imports: import platform
  from cuml.testing.test_preproc_utils import to_output_type
  from cuml.testing.utils import array_equal
  from cuml.cluster.hdbscan import HDBSCAN
  from cuml.neighbors import NearestNeighbors
  from cuml.metrics import trustworthiness
  from cuml.metrics import adjusted_rand_score
  from cuml.manifold import UMAP
  from cuml.linear_model import ElasticNet, Lasso, LinearRegression, LogisticRegression, Ridge
  from cuml.internals.memory_utils import using_memory_type
  from cuml.internals.mem_type import MemoryType
  from cuml.decomposition import PCA, TruncatedSVD
  from cuml.common.device_selection import DeviceType, using_device_type
  from hdbscan import HDBSCAN
  from sklearn.neighbors import NearestNeighbors
  from sklearn.linear_model import Ridge
  from sklearn.linear_model import ElasticNet
  from sklearn.linear_model import Lasso
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import LinearRegression
  from sklearn.decomposition import PCA
  from sklearn.decomposition import TruncatedSVD
  from sklearn.datasets import make_regression, make_blobs
  from pytest_cases import fixture_union, fixture_plus
  from importlib import import_module
  import inspect
  import pickle
  from cuml.internals.safe_imports import gpu_only_import
  import itertools
  import pytest
  import cuml
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 31 for calling a global function with example usage: test_elasticnet_methods(train_device, infer_device) without return types