code: def _get_model(self):
      return AlternatingLeastSquares(
          factors=32, regularization=0, use_gpu=False, random_state=23
      )
  
imports: import pickle
  import unittest
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from recommender_base_test import RecommenderBaseTestMixin, get_checker_board
  from scipy.sparse import coo_matrix, csr_matrix, random
  import implicit
  from implicit.als import AlternatingLeastSquares
  from implicit.gpu import HAS_CUDA
label_desc: Use image node_id 1 for calling the ALSTest obj's underlying member method code with example usage: obj._get_model() and returns: AlternatingLeastSquares