code: def test_gaussian_noise():
      a = torch.rand(4, 3, 32, 32)
      b = torch.rand(1, 3, 200, 200)
      a1 = torchdrift.data.functional.gaussian_noise(a)
      b1 = torchdrift.data.functional.gaussian_noise(b)
      assert (a1 == a1.clamp(min=0, max=1)).all()
      assert (a - a1).std() < (b - b1).std()
  
file_path: TorchDrift/test/test_corruption_functions.py
imports: import pytest
  import torchdrift
  import torch
  import scipy.ndimage
label_desc: Use image node_id 1 for calling a global function with example usage: test_gaussian_noise() without return types