class_docstr: Blur an image with a Butterworth filter with a frequency
  cutoff matching local block size
class_docstr_tok: ["Blur","an","image","with","a","Butterworth","filter","with","a","frequency","cutoff","matching","local","block","size"]
docstr: scramble blocksize of 128 => filter threshold of 64
  scramble blocksize of 64 => filter threshold of 32
  scramble blocksize of 32 => filter threshold of 16
  scramble blocksize of 16 => filter threshold of 8
  scramble blocksize of 8 => filter threshold of 4
docstr_tok: ["scramble","blocksize","of","128","=",">","filter","threshold","of","64","scramble","blocksize","of","64","=",">","filter","threshold","of","32","scramble","blocksize","of","32","=",">","filter","threshold","of","16","scramble","blocksize","of","16","=",">","filter","threshold","of","8","scramble","blocksize","of","8","=",">","filter","threshold","of","4"]
code: def __init__(self, threshold, order=5):
      """
      scramble blocksize of 128 => filter threshold of 64
      scramble blocksize of 64 => filter threshold of 32
      scramble blocksize of 32 => filter threshold of 16
      scramble blocksize of 16 => filter threshold of 8
      scramble blocksize of 8 => filter threshold of 4
      """
      self.threshold = threshold
      self.order = order
  
file_path: pywick/pywick/transforms/distortion_transforms.py
imports: import torch
  import numpy
  import random
label_desc: Use image node_id 1 to create a new Blur object  with example: obj = Blur(threshold, order)