class_docstr: Stack windowed inputs (x(t-m+1), ... x(t)).
class_docstr_tok: ["Stack","windowed","inputs","(","x","(","t-m+1",")",",","...","x","(","t",")",")","."]
docstr: Reset preprocessing pipeline for new episode.
docstr_tok: ["Reset","preprocessing","pipeline","for","new","episode","."]
code: def reset(self):
      """Reset preprocessing pipeline for new episode."""
      self.__history.clear()
      for i in range(self.__history_len):
          self.__history.append(
              np.zeros(self._input_shape, self.__dtype)
          )
  
imports: from abc import ABCMeta, abstractmethod
  from collections import deque
  import numpy
  from PIL import Image
label_desc: Use image node_id 3 for calling the SlidingWindow obj's underlying member method code with example usage: obj.reset() without return types