code: def test_from_summaries_inertia(X, w, alphas):
      d = DiracDelta(alphas, inertia=0.3)
      d.summarize(X[:4])
      d.from_summaries()
      assert_array_almost_equal(d.alphas, alphas)
      assert_array_almost_equal(d._log_alphas, numpy.log(alphas))
  
      d.summarize(X[4:])
      d.from_summaries()
      assert_array_almost_equal(d.alphas, alphas)
      assert_array_almost_equal(d._log_alphas, numpy.log(alphas))
  
      d = DiracDelta(alphas, inertia=0.3)
      d.summarize(X)
      d.from_summaries()
      assert_array_almost_equal(d.alphas, alphas)
      assert_array_almost_equal(d._log_alphas, numpy.log(alphas))
  
imports: import os
  import numpy
  import torch
  import pytest
  from pomegranate.distributions import DiracDelta
  from ._utils import _test_initialization_raises_one_parameter
  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 23 for calling a global function with example usage: test_from_summaries_inertia(X, w, alphas) without return types