docstr: Tests to ensure the top-k from the short_sequence_transition_probabilities
  transition matrix is expected
docstr_tok: ["Tests","to","ensure","the","top-k","from","the","short_sequence_transition_probabilities","transition","matrix","is","expected"]
code: def test_take_short_sequence_step(self):
      """
      Tests to ensure the top-k from the short_sequence_transition_probabilities
      transition matrix is expected
      """
      self.beam_search.beam_size = 5
      expected_top_k = np.array(
          [
              [5, 5, 5, 5, 5],
              [1, 5, 5, 5, 5],
              [1, 2, 5, 5, 5],
              [1, 2, 3, 5, 5],
              [1, 2, 3, 4, 5],
          ]
      )
      expected_log_probs = np.log(
          np.array([0.9, 0.09, 0.009, 0.0009, 0.0001])
      )
      self._check_results(
          expected_top_k=expected_top_k,
          expected_log_probs=expected_log_probs,
          take_step=take_short_sequence_step,
      )
  
imports: from typing import Dict, Tuple, Union
  import numpy
  import pytest
  import torch
  from allennlp.common.checks import ConfigurationError
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.nn.beam_search import MultinomialSampler, BeamSearch, TopKSampler, TopPSampler, GumbelSampler, LengthNormalizedSequenceLogProbabilityScorer, RepeatedNGramBlockingConstraint, StepFunctionTypeWithTimestep, StepFunctionTypeNoTimestep
  from allennlp.common.params import Params
  from allennlp.nn.util import min_value_of_dtype
label_desc: Use image node_id 10 for calling the BeamSearchTest obj's underlying member method code with example usage: obj.test_take_short_sequence_step() without return types