code: def test_fit_chain(X):
      d = Uniform().fit(X[:4])
      _test_fit_params(d, [0.5, 0.2, 0.5], [3.1, 2.1, 2.2])
  
      d.fit(X[4:])
      _test_fit_params(d, [2.2, 1.0, 0.1], [5.4, 1.9, 4.0])
  
      d = Uniform().fit(X)
      _test_fit_params(d, [0.5, 0.2, 0.1], [5.4, 2.1, 4.0])
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Uniform
  from ._utils import _test_initialization_raises_two_parameters
  from ._utils import _test_initialization
  from ._utils import _test_predictions
  from ._utils import _test_efd_from_summaries
  from ._utils import _test_raises
  from nose.tools import assert_raises
  from numpy.testing import assert_array_almost_equal
label_desc: Use image node_id 36 for calling a global function with example usage: test_fit_chain(X) without return types