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: Reduce up and down parameters with the given function.
docstr_tok: ["Reduce","up","and","down","parameters","with","the","given","function","."]
code: def reduce(self, fcn: Callable) -> T:
      """Reduce up and down parameters with the given function."""
  
      return fcn(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 4 for calling the SpinParam obj's underlying member method code with example usage: obj.reduce(fcn) and returns: fcn