code: def test_1(self):
      init = initialization.pca(self.x)
      aff = affinity.PerplexityBasedNN(self.x, perplexity=30)
      embedding = openTSNE.TSNEEmbedding(init, aff)
      embedding.optimize(
          25, exaggeration=12, momentum=0.8, inplace=True
      )
      embedding.optimize(50, exaggeration=1, momentum=0.8, inplace=True)
      self.eval_embedding(embedding, self.y)
      new_embedding = embedding.transform(self.x)
      self.eval_embedding(new_embedding, self.y, "transform")
  
imports: import unittest
  from functools import partial
  import numpy
  from scipy.spatial.distance import pdist, squareform, cdist
  from sklearn import datasets
  from sklearn.metrics import accuracy_score
  from sklearn.neighbors import KNeighborsClassifier, NearestNeighbors
  import openTSNE
  from openTSNE import affinity, initialization, nearest_neighbors, TSNEEmbedding
label_desc: Use image node_id 1 for calling the TestUsageLowestLevel obj's underlying member method code with example usage: obj.test_1() without return types