code: def test_lars_path_gram_equivalent(method, return_path):
      _assert_same_lars_path_result(
          linear_model.lars_path_gram(
              Xy=Xy,
              Gram=G,
              n_samples=n_samples,
              method=method,
              return_path=return_path,
          ),
          linear_model.lars_path(
              X, y, Gram=G, method=method, return_path=return_path
          ),
      )
  
imports: import warnings
  import numpy
  import pytest
  from scipy import linalg
  from sklearn import datasets, linear_model
  from sklearn.base import clone
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.linear_model import Lars, LarsCV, LassoLars, LassoLarsCV, LassoLarsIC, lars_path
  from sklearn.linear_model._least_angle import _lars_path_residues
  from sklearn.model_selection import train_test_split
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.utils._testing import TempMemmap, assert_allclose, assert_array_almost_equal, ignore_warnings
label_desc: Use image node_id 4 for calling a global function with example usage: test_lars_path_gram_equivalent(method, return_path) without return types