code: def _get_arrayXarray(self, row, col, not_found_val=0):
      # inner indexing
      idx_dtype = self.indices.dtype
      M, N = self._swap(*self.shape)
      major, minor = self._swap(row, col)
      major = major.astype(idx_dtype, copy=False)
      minor = minor.astype(idx_dtype, copy=False)
  
      val = _index._csr_sample_values(
          M,
          N,
          self.indptr,
          self.indices,
          self.data,
          major.ravel(),
          minor.ravel(),
          not_found_val,
      )
  
      if major.ndim == 1:
          # Scipy returns `matrix` here
          return cupy.expand_dims(val, 0)
      return self.__class__(val.reshape(major.shape))
  
imports: import string
  import warnings
  import numpy
  import cupy
  import cupyx
  from cupy import _core
  from cupy._core import _scalar
  from cupy._creation import basic
  from cupyx.scipy.sparse import _base
  from cupyx.scipy.sparse import _coo
  from cupyx.scipy.sparse import _data
  from cupyx.scipy.sparse import _sputils
  from cupyx.scipy.sparse import _util
  from cupyx.scipy.sparse import _index
label_desc: Use image node_id 13 for calling the _compressed_sparse_matrix obj's underlying member method code with example usage: obj._get_arrayXarray(row, col, not_found_val) and returns: self, cupy