code: def gaussian_integral(
      n: int, alpha: Union[float, torch.Tensor]
  ) -> Union[float, torch.Tensor]:
      """Performs the gaussian integration.
  
      Examples
      --------
      >>> gaussian_integral(5, 1.0)
      1.0
  
      Parameters
      ----------
      n: int
          The order of the integral
      alpha: Union[float, torch.Tensor]
          The parameter of the gaussian
  
      Returns
      -------
      Union[float, torch.Tensor]
          The value of the integral
  
      """
      n1 = (n + 1) * 0.5
      return scipy.special.gamma(n1) / (2 * alpha**n1)
  
file_path: deepchem/deepchem/utils/pytorch_utils.py
imports: import scipy
  import torch
  from typing import Callable, Union, List, Generator, Tuple
label_desc: Use image node_id 6 for calling a global function with example usage: gaussian_integral(n, alpha) and returns: unknown