code: def test_lu_factor(self, dtype):
      if self.shape[0] != self.shape[1]:
          self.skipTest(
              "skip non-square tests since scipy.lu_factor requires square"
          )
      a_cpu = testing.shaped_random(self.shape, numpy, dtype=dtype)
      a_gpu = cupy.asarray(a_cpu)
      result_cpu = scipy.linalg.lu_factor(a_cpu)
      result_gpu = cupyx.scipy.linalg.lu_factor(a_gpu)
      assert len(result_cpu) == len(result_gpu)
      assert result_cpu[0].dtype == result_gpu[0].dtype
      assert result_cpu[1].dtype == result_gpu[1].dtype
      cupy.testing.assert_allclose(
          result_cpu[0], result_gpu[0], atol=1e-5
      )
      cupy.testing.assert_array_equal(result_cpu[1], result_gpu[1])
  
file_path: cupy/tests/cupyx_tests/scipy_tests/linalg_tests/test_decomp_lu.py
imports: import unittest
  import warnings
  import numpy
  import cupy
  from cupy import testing
  import cupyx.scipy.linalg
label_desc: Use image node_id 1 for calling the TestLUFactor obj's underlying member method code with example usage: obj.test_lu_factor(dtype) without return types