code: def copy(self):
      optimizer = self.__class__()
      if self.gains is not None:
          optimizer.gains = np.copy(self.gains)
      if self.update is not None:
          optimizer.update = np.copy(self.update)
      return optimizer
  
imports: import inspect
  import logging
  import multiprocessing
  from collections.abc import Iterable
  from types import SimpleNamespace
  from time import time
  import numpy
  from sklearn.base import BaseEstimator
  from openTSNE import _tsne
  from openTSNE import initialization
  from openTSNE.affinity import Affinities, MultiscaleMixture
  from openTSNE.quad_tree import QuadTree
  from openTSNE import utils
label_desc: Use image node_id 2 for calling the gradient_descent obj's underlying member method code with example usage: obj.copy() and returns: optimizer