code: def test_from_summaries(X, alphas):
      d = DiracDelta(alphas)
      d.summarize(X)
      d.from_summaries()
      assert_array_almost_equal(d.alphas, alphas)
      assert_array_almost_equal(d._log_alphas, numpy.log(alphas))
  
      d = DiracDelta()
      d.summarize(X)
      d.from_summaries()
      assert_array_almost_equal(d.alphas, [1.0, 1.0, 1.0])
      assert_array_almost_equal(d._log_alphas, [0.0, 0.0, 0.0])
  
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 20 for calling a global function with example usage: test_from_summaries(X, alphas) without return types