code: def deserial(self, serialized: Tuple, context: Dict, subs: List):
      (
          data_header,
          data_buf_num,
          idx_header,
          idx_buf_num,
          indptr_header,
          shape,
      ) = serialized
      data_buffers = subs[:data_buf_num]
      idx_buffers = subs[data_buf_num : data_buf_num + idx_buf_num]
      indptr_buffers = subs[data_buf_num + idx_buf_num :]
  
      data = deserialize(data_header, data_buffers)
      indices = deserialize(idx_header, idx_buffers)
      indptr = deserialize(indptr_header, indptr_buffers)
      shape = tuple(shape)
  
      empty_arr = np.zeros(0, dtype=data.dtype)
  
      target_csr = sps.coo_matrix(
          (empty_arr, (empty_arr,) * 2), dtype=data.dtype, shape=shape
      ).tocsr()
      target_csr.data, target_csr.indices, target_csr.indptr = (
          data,
          indices,
          indptr,
      )
      return target_csr
  
imports: from typing import Any, Dict, List, Tuple
  import numpy
  from .core import Serializer, buffered, serialize, deserialize
label_desc: Use image node_id 2 for calling the CsrMatrixSerializer obj's underlying member method code with example usage: obj.deserial(serialized, context, subs) and returns: target_csr