class_docstr: Quantum Chemistry calculation. This class is the interface to the users
  regarding parameters that can be calculated after the self-consistent
  iterations (or other processes).
  
  References
  ----------
  Kasim, Muhammad F., and Sam M. Vinko. "Learning the exchange-correlation
  functional from nature with fully differentiable density functional
  theory." Physical Review Letters 127.12 (2021): 126403.
  https://github.com/diffqc/dqc/blob/master/dqc/utils/datastruct.py
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docstr: Calculate the energy from the given density matrix.
  
  Arguments
  ---------
  dm: torch.Tensor or SpinParam of torch.Tensor
      The input density matrix. It is tensor if restricted, and SpinParam
      of tensor if unrestricted.
  
  Returns
  -------
  torch.Tensor
      Tensor that represents the energy given the energy.
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code: def dm2energy(
      self, dm: Union[torch.Tensor, SpinParam[torch.Tensor]]
  ) -> torch.Tensor:
      """
      Calculate the energy from the given density matrix.
  
      Arguments
      ---------
      dm: torch.Tensor or SpinParam of torch.Tensor
          The input density matrix. It is tensor if restricted, and SpinParam
          of tensor if unrestricted.
  
      Returns
      -------
      torch.Tensor
          Tensor that represents the energy given the energy.
      """
      pass
  
imports: import hashlib
  import xitorch
  from dataclasses import dataclass
  from abc import abstractmethod, abstractproperty
  from typing import Union, List, TypeVar, Generic, Callable
label_desc: Use image node_id 5 for calling the BaseQCCalc obj's underlying member method code with example usage: obj.dm2energy(dm) without return types