class_docstr: Data structure to store different values for spin-up and spin-down electrons.
  
  Examples
  --------
  >>> import torch
  >>> from deepchem.utils.dft_utils import SpinParam
  >>> dens_u = torch.ones(1)
  >>> dens_d = torch.zeros(1)
  >>> sp = SpinParam(u=dens_u, d=dens_d)
  >>> sp.u
  tensor([1.])
  >>> sp.sum()
  tensor([1.])
  >>> sp.reduce(torch.multiply)
  tensor([0.])
docstr: Returns the sum of up and down parameters.
docstr_tok: ["Returns","the","sum","of","up","and","down","parameters","."]
code: def sum(self):
      """Returns the sum of up and down parameters."""
  
      return self.u + self.d
  
imports: from typing import Union, TypeVar, Generic, Optional, Callable, List, Dict
  from dataclasses import dataclass
  import torch
  import numpy
  from deepchem.utils import gaussian_integral
label_desc: Use image node_id 3 for calling the SpinParam obj's underlying member method code with example usage: obj.sum() and returns: unknown