class_docstr: No specific structure. No find_alliteration because it makes only sense
  for long lines.
class_docstr_tok: ["No","specific","structure",".","No","find_alliteration","because","it","makes","only","sense","for","long","lines","."]
docstr: >>> stanza = "Ein sat hon úti,\nþá er inn aldni kom\nyggjungr ása\nok í augu leit.\nHvers fregnið mik?\nHví freistið mín?\nAllt veit ek, Óðinn,\nhvar þú auga falt,\ní inum mæra\nMímisbrunni.\nDrekkr mjöð Mímir\nmorgun hverjan\naf veði Valföðrs.\nVituð ér enn - eða hvat?"
  >>> us = UnspecifiedStanza()
  >>> us.from_short_lines_text(stanza)
  >>> us.to_phonetics(False)
  >>> us.transcribed_text
  [['ɛin', 'sat', 'hɔn', 'uːti'], ['θaː', 'ɛr', 'inː', 'aldni', 'kɔm'], ['ygːjunɣr', 'aːsa'], ['ɔk', 'iː', 'ɒuɣu', 'lɛit'], ['hvɛrs', 'frɛɣnið', 'mik'], ['hviː', 'frɛistið', 'miːn'], ['alːt', 'vɛit', 'ɛk', 'oːðinː'], ['hvar', 'θuː', 'ɒuɣa', 'falt'], ['iː', 'inum', 'mɛːra'], ['miːmisbrunːi'], ['drɛkːr', 'mjœð', 'miːmir'], ['mɔrɣun', 'hvɛrjan'], ['av', 'vɛði', 'valvœðrs'], ['vituð', 'eːr', 'ɛnː', 'ɛða', 'hvat']]
  
  :return:
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code: def to_phonetics(self, with_squared_brackets=True):
      """
      >>> stanza = "Ein sat hon úti,\\nþá er inn aldni kom\\nyggjungr ása\\nok í augu leit.\\nHvers fregnið mik?\\nHví freistið mín?\\nAllt veit ek, Óðinn,\\nhvar þú auga falt,\\ní inum mæra\\nMímisbrunni.\\nDrekkr mjöð Mímir\\nmorgun hverjan\\naf veði Valföðrs.\\nVituð ér enn - eða hvat?"
      >>> us = UnspecifiedStanza()
      >>> us.from_short_lines_text(stanza)
      >>> us.to_phonetics(False)
      >>> us.transcribed_text
      [['ɛin', 'sat', 'hɔn', 'uːti'], ['θaː', 'ɛr', 'inː', 'aldni', 'kɔm'], ['ygːjunɣr', 'aːsa'], ['ɔk', 'iː', 'ɒuɣu', 'lɛit'], ['hvɛrs', 'frɛɣnið', 'mik'], ['hviː', 'frɛistið', 'miːn'], ['alːt', 'vɛit', 'ɛk', 'oːðinː'], ['hvar', 'θuː', 'ɒuɣa', 'falt'], ['iː', 'inum', 'mɛːra'], ['miːmisbrunːi'], ['drɛkːr', 'mjœð', 'miːmir'], ['mɔrɣun', 'hvɛrjan'], ['av', 'vɛði', 'valvœðrs'], ['vituð', 'eːr', 'ɛnː', 'ɛða', 'hvat']]
  
      :return:
      """
      transcriber = Transcriber(
          old_norse_transcription.DIPHTHONGS_IPA,
          old_norse_transcription.DIPHTHONGS_IPA_class,
          old_norse_transcription.IPA_class,
          old_norse_transcription.old_norse_rules,
      )
      transcribed_text = []
      phonological_features_text = []
      for short_line in self.short_lines:
          assert isinstance(short_line, ShortLine) or isinstance(
              short_line, LongLine
          )
          short_line.to_phonetics(transcriber, with_squared_brackets)
          transcribed_text.append(short_line.transcribed)
          phonological_features_text.append(
              short_line.phonological_features_text
          )
      self.transcribed_text = transcribed_text
      self.phonological_features_text = phonological_features_text
  
imports: import re
  from math import floor
  from typing import Dict, List, Tuple, Union
  import cltk.phonology.non.syllabifier
  import cltk.phonology.non.transcription
  from cltk.core.cltk_logger import logger
  from cltk.phonology.non.utils import Transcriber
  from cltk.phonology.syllabify import Syllabifier
  from cltk.stops.non import STOPS
  from cltk.tag.pos import POSTag
  from cltk.tokenizers.non import OldNorseWordTokenizer
label_desc: Use image node_id 4 for calling the UnspecifiedStanza obj's underlying member method code with example usage: obj.to_phonetics(with_squared_brackets) without return types