code: def load(self, kwargs):
      # Add functionality for masking multiples axes.
  
      # Mask Parameters
      add_parameter(self, kwargs, "mask_channels", {})
      add_parameter(self, kwargs, "num_masked", 1)
      add_parameter(self, kwargs, "masked_value", -10)
      add_parameter(self, kwargs, "random_sample", True)
  
      # Derived Parameters
      self.input_shape = {}
      self.augmentation_string = "_mask_"
  
imports: import numpy
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 1 for calling the MaskData obj's underlying member method code with example usage: obj.load(kwargs) without return types