code: def write_to_conll_eval_file(
      prediction_file,
      gold_file,
      verb_index,
      sentence,
      prediction,
      gold_labels,
  ):
      """
      Prints predicate argument predictions and gold labels for a single verbal
      predicate in a sentence to two provided file references.
  
      Parameters
      ----------
      prediction_file : TextIO, required.
          A file reference to print predictions to.
      gold_file : TextIO, required.
          A file reference to print gold labels to.
      verb_index : Optional[int], required.
          The index of the verbal predicate in the sentence which
          the gold labels are the arguments for, or None if the sentence
          contains no verbal predicate.
      sentence : List[str], required.
          The word tokens.
      prediction : List[str], required.
          The predicted BIO labels.
      gold_labels : List[str], required.
          The gold BIO labels.
      """
      verb_only_sentence = ["-"] * len(sentence)
      if verb_index:
          verb_only_sentence[verb_index] = sentence[verb_index]
  
      conll_format_predictions = convert_bio_tags_to_conll_format(
          prediction
      )
      conll_format_gold_labels = convert_bio_tags_to_conll_format(
          gold_labels
      )
  
      for word, predicted, gold in izip(
          verb_only_sentence,
          conll_format_predictions,
          conll_format_gold_labels,
      ):
          prediction_file.write(word.ljust(15))
          prediction_file.write(predicted.rjust(15) + "\n")
          gold_file.write(word.ljust(15))
          gold_file.write(gold.rjust(15) + "\n")
      prediction_file.write("\n")
      gold_file.write("\n")
  
imports: from __future__ import absolute_import
  import torch
  from torch.nn.modules import Linear, Dropout
  import torch.nn.functional
  from allennlp.common.checks import check_dimensions_match
  from allennlp.data import Vocabulary
  from allennlp.modules import Seq2SeqEncoder, TimeDistributed, TextFieldEmbedder
  from allennlp.modules.token_embedders import Embedding
  from allennlp.models.model import Model
  from allennlp.nn import InitializerApplicator, RegularizerApplicator
  from allennlp.nn.util import get_text_field_mask, sequence_cross_entropy_with_logits
  from allennlp.nn.util import get_lengths_from_binary_sequence_mask, viterbi_decode
  from allennlp.training.metrics import SpanBasedF1Measure
label_desc: Use image node_id 1 for calling a global function with example usage: write_to_conll_eval_file(prediction_file, gold_file, verb_index, sentence, prediction, gold_labels) without return types