code: def resize(self, *shape):
      shape = check_shape(shape)
      newM, newN = shape
      M, N = self.shape
      if newM < M or newN < N:
          # Remove all elements outside new dimensions
          for i, j in list(self.keys()):
              if i >= newM or j >= newN:
                  del self._dict[i, j]
      self._shape = shape
  
imports: import itertools
  import numpy
  from ._matrix import spmatrix
  from ._base import _spbase, sparray, issparse
  from ._index import IndexMixin
  from ._sputils import isdense, getdtype, isshape, isintlike, isscalarlike, upcast, upcast_scalar, check_shape
label_desc: Use image node_id 44 for calling the _dok_base obj's underlying member method code with example usage: obj.resize() without return types