docstr: Sets value at each (i, j) to zero, preserving sparsity structure.
  Here (i,j) index major and minor respectively.
code: def _zero_many(self, i, j):
      """Sets value at each (i, j) to zero, preserving sparsity structure.
      Here (i,j) index major and minor respectively.
      """
      i, j, M, N = self._prepare_indices(i, j)
  
      new_sp = cupyx.scipy.sparse.csr_matrix(
          (
              cupy.arange(self.nnz, dtype=cupy.float32),
              self.indices,
              self.indptr,
          ),
          shape=(M, N),
      )
  
      offsets = (
          new_sp._get_arrayXarray(i, j, not_found_val=-1)
          .astype(cupy.int32)
          .ravel()
      )
  
      # only assign zeros to the existing sparsity structure
      self.data[offsets[offsets > -1]] = 0
  
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 24 for calling the _compressed_sparse_matrix obj's underlying member method code with example usage: obj._zero_many(i, j) without return types