class_docstr: !
  @brief Represents output dynamic of PCNN (pulse-coupled neural network).
class_docstr_tok: ["!","@","brief","Represents","output","dynamic","of","PCNN","(","pulse-coupled","neural","network",")","."]
docstr: !
  @brief Default destructor of PCNN dynamic.
docstr_tok: ["!","@","brief","Default","destructor","of","PCNN","dynamic","."]
code: def __del__(self):
      """!
      @brief Default destructor of PCNN dynamic.
  
      """
      if self.__ccore_pcnn_dynamic_pointer is not None:
          wrapper.pcnn_dynamic_destroy(
              self.__ccore_pcnn_dynamic_pointer
          )
  
imports: import random
  import numpy
  import matplotlib.pyplot
  import matplotlib.animation
  from PIL import Image
  from pyclustering.nnet import *
  from pyclustering.core.wrapper import ccore_library
  import pyclustering.core.pcnn_wrapper
  from pyclustering.utils import draw_dynamics
label_desc: Use image node_id 4 for calling the pcnn_dynamic obj's underlying member method code with example usage: obj.__del__() without return types