code: def setUp(self):
      # Reproducibility.
      np.random.seed(0)
  
      n_samples = 20
      n_features = 10
  
      self.X = np.random.randn(n_samples, n_features)
      self.y = np.random.binomial(1, 0.5, size=n_samples)
  
file_path: tffm/test.py
imports: import unittest
  import numpy
  from tffm import TFFMClassifier
  from scipy import sparse
  import tensorflow
  import pickle
label_desc: Use image node_id 1 for calling the TestFM obj's underlying member method code with example usage: obj.setUp() without return types