code: def dataset():
      X, y = make_classification(100, 5, random_state=42)
      X = X.astype(np.float64)
      y = y.astype(np.float64)
      return X, y
  
imports: from sklearn.datasets import make_classification
  from cuml.testing.utils import ClassEnumerator
  from cuml.internals.base import Base
  from cuml.internals.safe_imports import cpu_only_import
  import inspect
  import pytest
  import cuml
  import cuml.internals.mixins
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 2 for calling a global function with example usage: dataset() and returns: X,  y