示例#1
0
 def test_pruned_max(self):
     forward_max_weights = k2host.DoubleArray1.create_array_with_size(
         self.num_states)
     backward_max_weights = k2host.DoubleArray1.create_array_with_size(
         self.num_states)
     wfsa = k2host.WfsaWithFbWeights(self.fsa,
                                     k2host.FbWeightType.kMaxWeight,
                                     forward_max_weights,
                                     backward_max_weights)
     beam = 8.0
     remover = k2host.EpsilonsRemoverPrunedMax(wfsa, beam)
     fsa_size = k2host.IntArray2Size()
     arc_derivs_size = k2host.IntArray2Size()
     remover.get_sizes(fsa_size, arc_derivs_size)
     fsa_out = k2host.Fsa.create_fsa_with_size(fsa_size)
     arc_derivs = k2host.IntArray2.create_array_with_size(arc_derivs_size)
     arc_weights_out = k2host.FloatArray1.create_array_with_size(
         fsa_size.size2)
     remover.get_output(fsa_out, arc_derivs)
     self.assertTrue(k2host.is_epsilon_free(fsa_out))
     self.assertEqual(fsa_out.size1, 6)
     self.assertEqual(fsa_out.size2, 11)  # TODO: fix this
     self.assertEqual(arc_derivs.size1, 11)  # TODO: fix this
     self.assertEqual(arc_derivs.size2, 18)  # TODO: fix this
     self.assertTrue(
         k2host.is_rand_equivalent_max_weight(self.fsa, fsa_out, beam))
示例#2
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 def test_pruned_max(self):
     forward_max_weights = k2host.DoubleArray1.create_array_with_size(
         self.num_states)
     backward_max_weights = k2host.DoubleArray1.create_array_with_size(
         self.num_states)
     wfsa = k2host.WfsaWithFbWeights(self.fsa,
                                     k2host.FbWeightType.kMaxWeight,
                                     forward_max_weights,
                                     backward_max_weights)
     beam = 10.0
     determinizer = k2host.DeterminizerPrunedMax(
         wfsa, beam, 100, k2host.FbWeightType.kNoWeight)
     fsa_size = k2host.IntArray2Size()
     arc_derivs_size = k2host.IntArray2Size()
     determinizer.get_sizes(fsa_size, arc_derivs_size)
     fsa_out = k2host.Fsa.create_fsa_with_size(fsa_size)
     arc_derivs = k2host.IntArray2.create_array_with_size(arc_derivs_size)
     arc_weights_out = k2host.FloatArray1.create_array_with_size(
         fsa_size.size2)
     determinizer.get_output(fsa_out, arc_derivs)
     self.assertTrue(k2host.is_deterministic(fsa_out))
     self.assertEqual(fsa_out.size1, 7)
     self.assertEqual(fsa_out.size2, 9)
     self.assertEqual(arc_derivs.size1, 9)
     self.assertEqual(arc_derivs.size2, 12)
     self.assertTrue(
         k2host.is_rand_equivalent_max_weight(self.fsa, fsa_out, beam))
示例#3
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 def test_with_beam(self):
     self.assertTrue(
         k2host.is_rand_equivalent_max_weight(self.fsa_a, self.fsa_b, 4.0))
     self.assertFalse(
         k2host.is_rand_equivalent_max_weight(self.fsa_a, self.fsa_c, 6.0))
示例#4
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 def test_max_weight(self):
     self.assertTrue(
         k2host.is_rand_equivalent_max_weight(self.fsa_a, self.fsa_b))
     self.assertFalse(
         k2host.is_rand_equivalent_max_weight(self.fsa_a, self.fsa_c))