text: import numpy as np
  from sklearn.manifold import TSNE
  
  class Reducer:
      def __init__(self):
           self.r = 0
           self.i = 0
  
      def process(self):
          X = np.array([[0, 0, 0], [0, 1, 1], [1, 0, 1], [1, 1, 1]])
          X_embedded = TSNE(n_components=2).fit_transform(X)
          return X_embedded.shape