code: def load(self, kwargs):
      # Naming Parameters
      add_parameter(self, kwargs, "name", "Resize")
  
      # Registration Parameters
      add_parameter(self, kwargs, "output_shape", [1, 1, 1])
      add_parameter(self, kwargs, "interpolation", "linear")
  
      # Derived Parameters
      add_parameter(
          self,
          kwargs,
          "preprocessor_string",
          "_Resized_"
          + str(self.output_shape)
          .strip("[]")
          .replace(" ", "")
          .replace(",", ""),
      )
      self.interpolation_dict = {
          "nearestNeighbor": "nn",
          "linear": "linear",
      }
      self.dimensions = (
          str(self.dimensions).strip("[]").replace(" ", "")
      )
  
      self.array_input = True
  
imports: import subprocess
  import os
  import numpy
  import itertools
  from deepneuro.preprocessing.preprocessor import Preprocessor
  from deepneuro.utilities.util import add_parameter, quotes
label_desc: Use image node_id 1 for calling the Resize obj's underlying member method code with example usage: obj.load(kwargs) without return types