docstr: Args:
      min_v (int): minimum value
      max_v (int): maximum value
      root_transform (transform object): transform that will be applied.
                                         must accept a value as input.
      vtype (string): value type - "int"
docstr_tok: ["Args",":","min_v","(","int",")",":","minimum","value","max_v","(","int",")",":","maximum","value","root_transform","(","transform","object",")",":","transform","that","will","be","applied",".","must","accept","a","value","as","input",".","vtype","(","string",")",":","value","type","-","``","int","''"]
code: def __init__(
      self, min_v=0, max_v=256, root_transform=Solarize, vtype="int"
  ):
      """
      Args:
          min_v (int): minimum value
          max_v (int): maximum value
          root_transform (transform object): transform that will be applied.
                                             must accept a value as input.
          vtype (string): value type - "int"
      """
      super(RandomSolarizeTransform, self).__init__(
          min_v, max_v, root_transform, vtype, True
      )
  
imports: import numpy
  import PIL
label_desc: Use image node_id 1 to create a new RandomSolarizeTransform object from inherited base classes: RandomValueApplier with example: obj = RandomSolarizeTransform(min_v, max_v, root_transform, vtype)