code: def reshape(self, *newshape):
      new_total_size = functools.reduce(lambda x, y: x * y, newshape)
      if new_total_size != self._loop_size:
          raise ValueError("Invalid reshape parameters " + newshape)
  
      return type(self)(self._sparse_array, newshape)
  
imports: from sympy.core.basic import Basic
  from sympy.core.containers import Dict, Tuple
  from sympy.core.singleton import S
  from sympy.core.sympify import _sympify
  from sympy.tensor.array.mutable_ndim_array import MutableNDimArray
  from sympy.tensor.array.ndim_array import NDimArray, ImmutableNDimArray
  from sympy.utilities.iterables import flatten
  import functools
label_desc: Use image node_id 5 for calling the SparseNDimArray obj's underlying member method code with example usage: obj.reshape() and returns: type