code: def resize(self, *shape):
      shape = check_shape(shape)
      M, N = shape
      # we do not need to handle the case of expanding N
      self.data = self.data[:, :N]
  
      if M > self.shape[0] and np.any(
          self.offsets + self.shape[0] < self.data.shape[1]
      ):
          # explicitly clear values that were previously hidden
          mask = self.offsets[:, None] + self.shape[0] <= np.arange(
              self.data.shape[1]
          )
          self.data[mask] = 0
  
      self._shape = shape
  
imports: import numpy
  from ._matrix import spmatrix
  from ._base import issparse, _formats, _spbase, sparray
  from ._data import _data_matrix
  from ._sputils import isshape, upcast_char, getdtype, get_sum_dtype, validateaxis, check_shape
  from ._sparsetools import dia_matvec
label_desc: Use image node_id 17 for calling the _dia_base obj's underlying member method code with example usage: obj.resize() without return types