code: def normal_intensity(
      image, min_clip=-79.0, max_clip=304.0, mean=101.0, std=76.9
  ):
      image = np.clip(image, min_clip, max_clip)
      image = (image - mean) / std
      return image
  
file_path: tinygrad/extra/datasets/kits19.py
imports: import random
  import functools
  from pathlib import Path
  import numpy
  import nibabel
  from scipy import signal
  import torch
  import torch.nn.functional
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import fetch
label_desc: Use image node_id 4 for calling a global function with example usage: normal_intensity(image, min_clip, max_clip, mean, std) and returns: image