class_docstr: This :class:`TokenIndexer` represents tokens by their syntactic dependency label, as determined
  by the ``dep_`` field on ``Token``.
  
  Parameters
  ----------
  namespace : ``str``, optional (default=``dep_labels``)
      We will use this namespace in the :class:`Vocabulary` to map strings to indices.
code: def pad_token_sequence(
      self, tokens, desired_num_tokens, padding_lengths
  ):  # pylint: disable=unused-argument
      return dict(
          (key, pad_sequence_to_length(val, desired_num_tokens[key]))
          for key, val in list(tokens.items())
      )
  
file_path: magnitude/pymagnitude/third_party/allennlp/data/token_indexers/dep_label_indexer.py
imports: from __future__ import absolute_import
  import logging
  from allennlp.common.util import pad_sequence_to_length
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.data.tokenizers.token import Token
  from allennlp.data.token_indexers.token_indexer import TokenIndexer
label_desc: Use image node_id 6 for calling the DepLabelIndexer obj's underlying member method code with example usage: obj.pad_token_sequence(tokens, desired_num_tokens, padding_lengths) and returns: dict