code: def run(self, n_samples=1000, random_state=None):
      raise NotImplementedError()
  
imports: import gzip
  import pickle
  import time
  from os import path
  import fire
  import numpy
  from MulticoreTSNE import MulticoreTSNE
  from sklearn.manifold import TSNE
  from sklearn.utils import check_random_state
  import openTSNE
  import openTSNE.callbacks
label_desc: Use image node_id 1 for calling the TSNEBenchmark obj's underlying member method code with example usage: obj.run(n_samples, random_state) without return types