code: def check_lu_factor_reconstruction(self, A):
      m, n = self.shape
      lu, piv = cupyx.scipy.linalg.lu_factor(A)
      # extract ``L`` and ``U`` from ``lu``
      L = cupy.tril(lu, k=-1)
      cupy.fill_diagonal(L, 1.0)
      L = L[:, :m]
      U = cupy.triu(lu)
      U = U[:n, :]
      # check output shapes
      assert lu.shape == (m, n)
      assert L.shape == (m, min(m, n))
      assert U.shape == (min(m, n), n)
      assert piv.shape == (min(m, n),)
      # apply pivot (on CPU since slaswp is not available in cupy)
      piv = cupy.asnumpy(piv)
      rows = numpy.arange(m)
      for i, row in enumerate(piv):
          if i != row:
              rows[i], rows[row] = rows[row], rows[i]
      PA = A[rows]
      # check that reconstruction is close to original
      LU = L.dot(U)
      cupy.testing.assert_allclose(LU, PA, atol=1e-5)
  
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 2 for calling the TestLUFactor obj's underlying member method code with example usage: obj.check_lu_factor_reconstruction(A) without return types