text: # coding: utf8
  from __future__ import unicode_literals
  
  from ...symbols import ORTH, LEMMA, NORM, PRON_LEMMA
  
  
  _exc = {
      "pal": [{ORTH: "pa", LEMMA: "para"}, {ORTH: "l", LEMMA: "el", NORM: "el"}],
      "pala": [{ORTH: "pa", LEMMA: "para"}, {ORTH: "la", LEMMA: "la", NORM: "la"}],
  }
  
  
  for exc_data in [
      {ORTH: "aprox.", LEMMA: "aproximadamente"},
      {ORTH: "dna.", LEMMA: "docena"},
      {ORTH: "esq.", LEMMA: "esquina"},
      {ORTH: "pág.", LEMMA: "página"},
      {ORTH: "p.ej.", LEMMA: "por ejemplo"},
      {ORTH: "Ud.", LEMMA: PRON_LEMMA, NORM: "usted"},
      {ORTH: "Vd.", LEMMA: PRON_LEMMA, NORM: "usted"},
      {ORTH: "Uds.", LEMMA: PRON_LEMMA, NORM: "ustedes"},
      {ORTH: "Vds.", LEMMA: PRON_LEMMA, NORM: "ustedes"},
  ]:
      _exc[exc_data[ORTH]] = [exc_data]
  
  
  # Times
  
  _exc["12m."] = [{ORTH: "12"}, {ORTH: "m.", LEMMA: "p.m."}]
  
  
  for h in range(1, 12 + 1):
      for period in ["a.m.", "am"]:
          _exc["%d%s" % (h, period)] = [{ORTH: "%d" % h}, {ORTH: period, LEMMA: "a.m."}]
      for period in ["p.m.", "pm"]:
          _exc["%d%s" % (h, period)] = [{ORTH: "%d" % h}, {ORTH: period, LEMMA: "p.m."}]
  
  
  for orth in [
      "a.C.",
      "a.J.C.",
      "apdo.",
      "Av.",
      "Avda.",
      "Cía.",
      "EE.UU.",
      "etc.",
      "fig.",
      "Gob.",
      "Gral.",
      "Ing.",
      "J.C.",
      "km/h",
      "Lic.",
      "m.n.",
      "núm.",
      "P.D.",
      "Prof.",
      "Profa.",
      "q.e.p.d.",
      "S.A.",
      "S.L.",
      "s.s.s.",
      "Sr.",
      "Sra.",
      "Srta.",
  ]:
      _exc[orth] = [{ORTH: orth}]
  
  
  TOKENIZER_EXCEPTIONS = _exc
  