code: def leggauss(deg: int, **tkwargs: Any) -> Tuple[Tensor, Tensor]:
      x, w = numpy_leggauss(deg)
      return torch.as_tensor(x, **tkwargs), torch.as_tensor(
          w, **tkwargs
      )
  
imports: from __future__ import annotations
  import math
  from functools import lru_cache
  from math import pi
  from numbers import Number
  from typing import Any, Callable, Iterable, Iterator, Optional, Tuple, Union
  import torch
  from botorch.utils.safe_math import logdiffexp
  from numpy.polynomial.legendre import leggauss
  from torch import BoolTensor, LongTensor, Tensor
label_desc: Use image node_id 6 for calling a global function with example usage: leggauss(deg) and returns: torch,  torch