class_docstr: Data structure that contains information about a contracted gaussian
  type orbital (CGTO).
  
  Examples
  --------
  >>> import torch
  >>> from deepchem.utils.dft_utils import CGTOBasis
  >>> alphas = torch.ones(1)
  >>> coeffs = torch.ones(1)
  >>> cgto = CGTOBasis(angmom=0, alphas=alphas, coeffs=coeffs)
  >>> cgto.wfnormalize_()
  CGTOBasis(angmom=0, alphas=tensor([1.]), coeffs=tensor([2.5265]), normalized=True)
docstr: Initialize the CGTOBasis object.
  
  Parameters
  ----------
  angmom: int
      The angular momentum of the basis.
  alphas: torch.Tensor
      The gaussian exponents of the basis. Shape: (nbasis,)
  coeffs: torch.Tensor
      The coefficients of the basis. Shape: (nbasis,)
docstr_tok: ["Initialize","the","CGTOBasis","object",".","Parameters","--","--","--","--","--","angmom",":","int","The","angular","momentum","of","the","basis",".","alphas",":","torch.Tensor","The","gaussian","exponents","of","the","basis",".","Shape",":","(","nbasis",",",")","coeffs",":","torch.Tensor","The","coefficients","of","the","basis",".","Shape",":","(","nbasis",",",")"]
code: def __init__(
      self, angmom: int, alphas: torch.Tensor, coeffs: torch.Tensor
  ):
      """Initialize the CGTOBasis object.
  
      Parameters
      ----------
      angmom: int
          The angular momentum of the basis.
      alphas: torch.Tensor
          The gaussian exponents of the basis. Shape: (nbasis,)
      coeffs: torch.Tensor
          The coefficients of the basis. Shape: (nbasis,)
  
      """
      self.angmom = angmom
      self.alphas = alphas
      self.coeffs = coeffs
      self.normalized = False
  
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 1 to create a new CGTOBasis object  with example: obj = CGTOBasis(angmom, alphas, coeffs)