code: def laplacian_1d(
      window_size: int,
      *,
      device: Optional[Device] = None,
      dtype: Dtype = torch.float32,
  ) -> Tensor:
      """One could also use the Laplacian of Gaussian formula to design the filter."""
      # TODO: add default dtype as None when kornia relies on torch > 1.12
      filter_1d = torch.ones(window_size, device=device, dtype=dtype)
      middle = window_size // 2
      filter_1d[middle] = 1 - window_size
      return filter_1d
  
imports: from __future__ import annotations
  import math
  from math import sqrt
  from typing import Any, Optional
  import torch
  from kornia.core import Device, Dtype, Tensor, concatenate, cos, stack, tensor, where, zeros, zeros_like
  from kornia.core.check import KORNIA_CHECK, KORNIA_CHECK_IS_TENSOR, KORNIA_CHECK_SHAPE
  from kornia.utils import deprecated
label_desc: Use image node_id 11 for calling a global function with example usage: laplacian_1d(window_size) and returns: filter_1d