code: def test_fit():
      X = Xdigits.copy()
  
      rbm = BernoulliRBM(
          n_components=64,
          learning_rate=0.1,
          batch_size=10,
          n_iter=7,
          random_state=9,
      )
      rbm.fit(X)
  
      assert_almost_equal(rbm.score_samples(X).mean(), -21.0, decimal=0)
  
      # in-place tricks shouldn't have modified X
      assert_array_equal(X, Xdigits)
  
imports: import re
  import sys
  from io import StringIO
  import numpy
  import pytest
  from sklearn.datasets import load_digits
  from sklearn.neural_network import BernoulliRBM
  from sklearn.utils._testing import assert_allclose, assert_almost_equal, assert_array_equal
  from sklearn.utils.fixes import CSC_CONTAINERS, CSR_CONTAINERS, LIL_CONTAINERS
  from sklearn.utils.validation import assert_all_finite
label_desc: Use image node_id 1 for calling a global function with example usage: test_fit() without return types