class_docstr: System is a class describing the environment before doing the quantum
  chemistry calculation. It contains the information of the atoms, the
  external electric field, the spin, the charge, etc. It also contains the
  Hamiltonian object and the grid object for the calculation. The system
  object is also responsible for setting up the cache for the parameters
  that can be read/written from/to the cache file.
  
  Examples
  --------
  >>> from deepchem.utils.dft_utils import BaseSystem
  >>> from deepchem.utils.dft_utils import BaseHamilton
  >>> from deepchem.utils.dft_utils import BaseGrid
  >>> class MySystem(BaseSystem):
  ...     def __init__(self):
  ...         self.hamiltonian = BaseHamilton()
  ...         self.grid = BaseGrid()
  ...     def get_hamiltonian(self):
  ...         return self.hamiltonian
  ...     def get_grid(self):
  ...         return self.grid
  ...     def requires_grid(self):
  ...         return True
  >>> system = MySystem()
  >>> system.requires_grid()
  True
docstr: Set up the cache to read/write some parameters from the given files.
  If paramnames is not given, then read/write all cache-able parameters
  specified by each class.
  
  Parameters
  ----------
  fname: str
      The file name of the cache file.
  paramnames: Optional[List[str]] (default None)
      The list of parameter names to read/write from the cache file.
  
  Returns
  -------
  BaseSystem
      The system with cache enabled.
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code: def set_cache(
      self, fname: str, paramnames: Optional[List[str]] = None
  ) -> BaseSystem:
      """
      Set up the cache to read/write some parameters from the given files.
      If paramnames is not given, then read/write all cache-able parameters
      specified by each class.
  
      Parameters
      ----------
      fname: str
          The file name of the cache file.
      paramnames: Optional[List[str]] (default None)
          The list of parameter names to read/write from the cache file.
  
      Returns
      -------
      BaseSystem
          The system with cache enabled.
  
      """
      pass
  
imports: from __future__ import annotations
  from abc import abstractmethod, abstractproperty
  import torch
  from typing import List, Union, Optional, Tuple
  from deepchem.utils.differentiation_utils import EditableModule
  from deepchem.utils.dft_utils import BaseHamilton, BaseGrid, SpinParam, ZType, BasisInpType
label_desc: Use image node_id 3 for calling the BaseSystem obj's underlying member method code with example usage: obj.set_cache(fname, paramnames) without return types