code: def load(self, kwargs):
      super(RangeNormalization, self).load(kwargs)
  
      add_parameter(self, kwargs, "intensity_range", [-1, 1])
      add_parameter(self, kwargs, "input_intensity_range", None)
  
      add_parameter(
          self, kwargs, "outlier_percent", None
      )  # Not Implemented
  
      # Naming Parameters
      add_parameter(self, kwargs, "name", "RangeNormalization")
      add_parameter(self, kwargs, "preprocessor_string", "_Range")
  
imports: import subprocess
  import os
  import numpy
  from deepneuro.preprocessing.preprocessor import Preprocessor
  from deepneuro.utilities.conversion import read_image_files
  from deepneuro.utilities.util import add_parameter, quotes
label_desc: Use image node_id 1 for calling the RangeNormalization obj's underlying member method code with example usage: obj.load(kwargs) without return types