code: def test_lars_copy_X(datatype):
      X, y = fetch_california_housing(return_X_y=True)
      X = cp.asarray(X, dtype=datatype, order="F")
      y = cp.asarray(y, dtype=datatype, order="F")
  
      X0 = cp.copy(X)
      culars1 = cuLars(precompute=False, copy_X=True)
      culars1.fit(X, y)
      # Test that array was not changed
      assert cp.all(X0 == X)
  
file_path: cuml/python/cuml/tests/test_lars.py
imports: import sklearn
  from sklearn.linear_model import Lars
  from sklearn.datasets import fetch_california_housing
  from cuml.testing.utils import array_equal, unit_param, quality_param, stress_param
  from cuml.experimental.linear_model import Lars
  import sys
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
  from cuml.internals.safe_imports import gpu_only_import
  from test_linear_model import make_regression_dataset
label_desc: Use image node_id 5 for calling a global function with example usage: test_lars_copy_X(datatype) without return types