code: def test_decomposition(self, dtype):
      # A positive definite matrix
      A = random_matrix((5, 5), dtype, scale=(10, 10000), sym=True)
      self.check_L(A)
      # np.linalg.cholesky only uses a lower triangle of an array
      self.check_L(numpy.array([[1, 2], [1, 9]], dtype))
  
imports: import unittest
  import numpy
  import pytest
  import cupy
  from cupyx import cusolver
  from cupy.cuda import driver
  from cupy.cuda import runtime
  from cupy.linalg import _util
  from cupy import testing
  from cupy.testing import _condition
  import cupyx
label_desc: Use image node_id 2 for calling the TestCholeskyDecomposition obj's underlying member method code with example usage: obj.test_decomposition(dtype) without return types