code: def _test_fit_params(d, shapes, rates, thetas):
      assert_array_almost_equal(d.shapes, shapes, 4)
      assert_array_almost_equal(d.rates, rates, 4)
  
      assert_array_almost_equal(d._w_sum, numpy.zeros(d.d))
      assert_array_almost_equal(d._xw_sum, numpy.zeros(d.d))
      assert_array_almost_equal(d._logx_w_sum, numpy.zeros(d.d))
  
      assert_array_almost_equal(d._log_rates, numpy.log(rates), 4)
      assert_array_almost_equal(
          d._lgamma_shapes, torch.lgamma(torch.tensor(shapes)), 4
      )
      assert_array_almost_equal(d._thetas, thetas, 4)
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import Gamma
  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 27 for calling a global function with example usage: _test_fit_params(d, shapes, rates, thetas) without return types