code: def setUp(self):
      rvs = scipy.stats.randint(0, 15).rvs
      self.A = scipy.sparse.random(
          50, 50, density=0.2, data_rvs=rvs, dtype=self.dtype
      )
      self.b = numpy.random.randint(5, size=50)
      # symmetric and positive definite
      self.A = self.A.T * self.A + 10 * scipy.sparse.eye(50)
      self.b = self.A.T * self.b
      # initial scipy results by dense cholesky method.
      L = scipy.linalg.cho_factor(self.A.todense())
      self.x = scipy.linalg.cho_solve(L, self.b)
      if self.dtype == numpy.float64:
          self.decimal = 8
      else:
          self.decimal = 3
  
file_path: cupy/tests/cupyx_tests/linalg_tests/sparse_tests/test_solve.py
imports: import unittest
  import numpy
  import pytest
  import cupy
  from cupy import testing
  from cupy.testing import _condition
  import cupyx
  import cupyx.scipy.sparse
label_desc: Use image node_id 1 for calling the TestLschol obj's underlying member method code with example usage: obj.setUp() without return types