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: Return the string representation of the SpinParam object.
docstr_tok: ["Return","the","string","representation","of","the","SpinParam","object","."]
code: def __repr__(self) -> str:
      """Return the string representation of the SpinParam object."""
      return f"SpinParam(u={self.u}, d={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 2 for calling the SpinParam obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str