



"""simple docstring"""





import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


SCREAMING_SNAKE_CASE				:     List[Any]          =	logging.get_logger(__name__)

SCREAMING_SNAKE_CASE				:     List[str]          =	{
    'src_vocab_file': 'vocab-src.json',
    'tgt_vocab_file': 'vocab-tgt.json',
    'merges_file': 'merges.txt',
}

SCREAMING_SNAKE_CASE				:     Tuple          =	{
    'src_vocab_file': {
        'stas/tiny-wmt19-en-de': 'https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json'
    },
    'tgt_vocab_file': {
        'stas/tiny-wmt19-en-de': 'https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json'
    },
    'merges_file': {'stas/tiny-wmt19-en-de': 'https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt'},
}

SCREAMING_SNAKE_CASE				:     Optional[int]          =	{'stas/tiny-wmt19-en-de': 1_0_2_4}
SCREAMING_SNAKE_CASE				:     Union[str, Any]          =	{
    'stas/tiny-wmt19-en-de': {
        'langs': ['en', 'de'],
        'model_max_length': 1_0_2_4,
        'special_tokens_map_file': None,
        'full_tokenizer_file': None,
    }
}






def 	__UpperCAmelCase					(       snake_case_  :  Optional[int]   )							->	List[str]:






   """simple docstring"""


   _lowerCAmelCase					     =		set()
   _lowerCAmelCase					     =		word[0]
   for char in word[1:]:
      pairs.add((prev_char, char)   )
      _lowerCAmelCase					     =		char
   return pairs






def 	__UpperCAmelCase					(       snake_case_  :  List[Any]   )							->	Optional[Any]:






   """simple docstring"""


   _lowerCAmelCase					     =		text.replace("""，"""   ,	""","""   )
   _lowerCAmelCase					     =		re.sub(r"""。\s*"""   ,	""". """   ,	__A   )
   _lowerCAmelCase					     =		text.replace("""、"""   ,	""","""   )
   _lowerCAmelCase					     =		text.replace("""”"""   ,	"""\""""   )
   _lowerCAmelCase					     =		text.replace("""“"""   ,	"""\""""   )
   _lowerCAmelCase					     =		text.replace("""∶"""   ,	""":"""   )
   _lowerCAmelCase					     =		text.replace("""："""   ,	""":"""   )
   _lowerCAmelCase					     =		text.replace("""？"""   ,	"""?"""   )
   _lowerCAmelCase					     =		text.replace("""《"""   ,	"""\""""   )
   _lowerCAmelCase					     =		text.replace("""》"""   ,	"""\""""   )
   _lowerCAmelCase					     =		text.replace("""）"""   ,	""")"""   )
   _lowerCAmelCase					     =		text.replace("""！"""   ,	"""!"""   )
   _lowerCAmelCase					     =		text.replace("""（"""   ,	"""("""   )
   _lowerCAmelCase					     =		text.replace("""；"""   ,	""";"""   )
   _lowerCAmelCase					     =		text.replace("""１"""   ,	"""1"""   )
   _lowerCAmelCase					     =		text.replace("""」"""   ,	"""\""""   )
   _lowerCAmelCase					     =		text.replace("""「"""   ,	"""\""""   )
   _lowerCAmelCase					     =		text.replace("""０"""   ,	"""0"""   )
   _lowerCAmelCase					     =		text.replace("""３"""   ,	"""3"""   )
   _lowerCAmelCase					     =		text.replace("""２"""   ,	"""2"""   )
   _lowerCAmelCase					     =		text.replace("""５"""   ,	"""5"""   )
   _lowerCAmelCase					     =		text.replace("""６"""   ,	"""6"""   )
   _lowerCAmelCase					     =		text.replace("""９"""   ,	"""9"""   )
   _lowerCAmelCase					     =		text.replace("""７"""   ,	"""7"""   )
   _lowerCAmelCase					     =		text.replace("""８"""   ,	"""8"""   )
   _lowerCAmelCase					     =		text.replace("""４"""   ,	"""4"""   )
   _lowerCAmelCase					     =		re.sub(r"""．\s*"""   ,	""". """   ,	__A   )
   _lowerCAmelCase					     =		text.replace("""～"""   ,	"""~"""   )
   _lowerCAmelCase					     =		text.replace("""’"""   ,	"""'"""   )
   _lowerCAmelCase					     =		text.replace("""…"""   ,	"""..."""   )
   _lowerCAmelCase					     =		text.replace("""━"""   ,	"""-"""   )
   _lowerCAmelCase					     =		text.replace("""〈"""   ,	"""<"""   )
   _lowerCAmelCase					     =		text.replace("""〉"""   ,	""">"""   )
   _lowerCAmelCase					     =		text.replace("""【"""   ,	"""["""   )
   _lowerCAmelCase					     =		text.replace("""】"""   ,	"""]"""   )
   _lowerCAmelCase					     =		text.replace("""％"""   ,	"""%"""   )
   return text






def 	__UpperCAmelCase					(       snake_case_  :  Tuple   )							->	Optional[int]:






   """simple docstring"""


   _lowerCAmelCase					     =		[]
   for char in text:
      _lowerCAmelCase					     =		unicodedata.category(__A   )
      if cat.startswith("""C"""   ):
         continue
      output.append(__A   )
   return "".join(__A   )





class       __lowerCamelCase	(   UpperCAmelCase_    ):
   __UpperCamelCase									=   VOCAB_FILES_NAMES
   __UpperCamelCase									=   PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase									=   PRETRAINED_INIT_CONFIGURATION
   __UpperCamelCase									=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase									=   ['input_ids', 'attention_mask']







   def __init__(self       ,	lowerCamelCase=None       ,	lowerCamelCase=None       ,	lowerCamelCase=None       ,	lowerCamelCase=None       ,	lowerCamelCase=False       ,	lowerCamelCase="<unk>"       ,	lowerCamelCase="<s>"       ,	lowerCamelCase="</s>"       ,	lowerCamelCase="<pad>"       ,	**lowerCamelCase       ,	):




      '''simple docstring'''




      super().__init__(
          langs=lowerCamelCase       ,	src_vocab_file=lowerCamelCase       ,	tgt_vocab_file=lowerCamelCase       ,	merges_file=lowerCamelCase       ,	do_lower_case=lowerCamelCase       ,	unk_token=lowerCamelCase       ,	bos_token=lowerCamelCase       ,	sep_token=lowerCamelCase       ,	pad_token=lowerCamelCase       ,	**lowerCamelCase       ,	)

      try:
         import sacremoses
      except ImportError:
         raise ImportError(
             """You need to install sacremoses to use XLMTokenizer. """
             """See https://pypi.org/project/sacremoses/ for installation."""				)

      _lowerCAmelCase					     =		sacremoses

      _lowerCAmelCase					     =		src_vocab_file
      _lowerCAmelCase					     =		tgt_vocab_file
      _lowerCAmelCase					     =		merges_file
      _lowerCAmelCase					     =		do_lower_case

      # cache of sm.MosesPunctNormalizer instance
      _lowerCAmelCase					     =		{}
      # cache of sm.MosesTokenizer instance
      _lowerCAmelCase					     =		{}
      _lowerCAmelCase					     =		{}

      if langs and len(lowerCamelCase				) == 2:
         _lowerCAmelCase     ,						_lowerCAmelCase					     =		langs
      else:
         raise ValueError(
             f"""arg `langs` needs to be a list of 2 langs, e.g. ['en', 'ru'], but got {langs}. """
             """Usually that means that tokenizer can't find a mapping for the given model path """
             """in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer."""				)

      with open(lowerCamelCase       ,	encoding="""utf-8"""				) as src_vocab_handle:
         _lowerCAmelCase					     =		json.load(lowerCamelCase				)
      with open(lowerCamelCase       ,	encoding="""utf-8"""				) as tgt_vocab_handle:
         _lowerCAmelCase					     =		json.load(lowerCamelCase				)
         _lowerCAmelCase					     =		{v: k for k, v in tgt_vocab.items()}
      with open(lowerCamelCase       ,	encoding="""utf-8"""				) as merges_handle:
         _lowerCAmelCase					     =		merges_handle.read().split("""\n"""				)[:-1]
      _lowerCAmelCase					     =		[tuple(merge.split()[:2]				) for merge in merges]
      _lowerCAmelCase					     =		dict(zip(lowerCamelCase       ,	range(len(lowerCamelCase				)				)				)				)
      _lowerCAmelCase					     =		{}







   def 							A__						(self				):




      '''simple docstring'''




      return self.get_src_vocab()







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return self.src_vocab_size







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      if lang not in self.cache_moses_punct_normalizer:
         _lowerCAmelCase					     =		self.sm.MosesPunctNormalizer(lang=lowerCamelCase				)
         _lowerCAmelCase					     =		punct_normalizer
      return self.cache_moses_punct_normalizer[lang].normalize(lowerCamelCase				)







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      if lang not in self.cache_moses_tokenizer:
         _lowerCAmelCase					     =		self.sm.MosesTokenizer(lang=lowerCamelCase				)
         _lowerCAmelCase					     =		moses_tokenizer
      return self.cache_moses_tokenizer[lang].tokenize(
          lowerCamelCase       ,	aggressive_dash_splits=lowerCamelCase       ,	return_str=lowerCamelCase       ,	escape=lowerCamelCase				)







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      if lang not in self.cache_moses_detokenizer:
         _lowerCAmelCase					     =		self.sm.MosesDetokenizer(lang=lowerCamelCase				)
         _lowerCAmelCase					     =		moses_detokenizer
      return self.cache_moses_detokenizer[lang].detokenize(lowerCamelCase				)







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		replace_unicode_punct(lowerCamelCase				)
      _lowerCAmelCase					     =		self.moses_punct_norm(lowerCamelCase       ,	lowerCamelCase				)
      _lowerCAmelCase					     =		remove_non_printing_char(lowerCamelCase				)
      return text







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return len(self.encoder				)







   @property
   def 							A__						(self				):




      '''simple docstring'''




      return len(self.decoder				)







   def 							A__						(self				):




      '''simple docstring'''




      return dict(self.encoder       ,	**self.added_tokens_encoder				)







   def 							A__						(self				):




      '''simple docstring'''




      return dict(self.decoder       ,	**self.added_tokens_decoder				)







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		tuple(token[:-1]				) + (token[-1] + """</w>""",)
      if token in self.cache:
         return self.cache[token]
      _lowerCAmelCase					     =		get_pairs(lowerCamelCase				)

      if not pairs:
         return token + "</w>"

      while True:
         _lowerCAmelCase					     =		min(lowerCamelCase       ,	key=lambda lowerCamelCase				: self.bpe_ranks.get(lowerCamelCase       ,	float("""inf"""				)				)				)
         if bigram not in self.bpe_ranks:
            break
         _lowerCAmelCase     ,						_lowerCAmelCase					     =		bigram
         _lowerCAmelCase					     =		[]
         _lowerCAmelCase					     =		0
         while i < len(lowerCamelCase				):
            try:
               _lowerCAmelCase					     =		word.index(lowerCamelCase       ,	lowerCamelCase				)
            except ValueError:
               new_word.extend(word[i:]				)
               break
            else:
               new_word.extend(word[i:j]				)
               _lowerCAmelCase					     =		j

            if word[i] == first and i < len(lowerCamelCase				) - 1 and word[i + 1] == second:
               new_word.append(first + second				)
               i += 2
            else:
               new_word.append(word[i]				)
               i += 1
         _lowerCAmelCase					     =		tuple(lowerCamelCase				)
         _lowerCAmelCase					     =		new_word
         if len(lowerCamelCase				) == 1:
            break
         else:
            _lowerCAmelCase					     =		get_pairs(lowerCamelCase				)
      _lowerCAmelCase					     =		""" """.join(lowerCamelCase				)
      if word == "\n  </w>":
         _lowerCAmelCase					     =		"""\n</w>"""
      _lowerCAmelCase					     =		word
      return word







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase="en"       ,	lowerCamelCase=False				):




      '''simple docstring'''




      _lowerCAmelCase					     =		self.src_lang

      if self.do_lower_case:
         _lowerCAmelCase					     =		text.lower()

      if bypass_tokenizer:
         _lowerCAmelCase					     =		text.split()
      else:
         _lowerCAmelCase					     =		self.moses_pipeline(lowerCamelCase       ,	lang=lowerCamelCase				)
         _lowerCAmelCase					     =		self.moses_tokenize(lowerCamelCase       ,	lang=lowerCamelCase				)

      _lowerCAmelCase					     =		[]
      for token in text:
         if token:
            split_tokens.extend(list(self.bpe(lowerCamelCase				).split(""" """				)				)				)

      return split_tokens







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      return self.encoder.get(lowerCamelCase       ,	self.encoder.get(self.unk_token				)				)







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      return self.decoder.get(lowerCamelCase       ,	self.unk_token				)







   def 							A__						(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		[t.replace(""" """       ,	""""""				).replace("""</w>"""       ,	""" """				) for t in tokens]
      _lowerCAmelCase					     =		"""""".join(lowerCamelCase				).split()
      # detokenize
      _lowerCAmelCase					     =		self.moses_detokenize(lowerCamelCase       ,	self.tgt_lang				)
      return text







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None				):




      '''simple docstring'''




      _lowerCAmelCase					     =		[self.sep_token_id]

      # no bos used in fairseq
      if token_ids_a is None:
         return token_ids_a + sep
      return token_ids_a + sep + token_ids_a + sep







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None       ,	lowerCamelCase = False				):




      '''simple docstring'''




      if already_has_special_tokens:
         return super().get_special_tokens_mask(
             token_ids_a=lowerCamelCase       ,	token_ids_a=lowerCamelCase       ,	already_has_special_tokens=lowerCamelCase				)
      # no bos used in fairseq
      if token_ids_a is not None:
         return ([0] * len(lowerCamelCase				)) + [1] + ([0] * len(lowerCamelCase				)) + [1]
      return ([0] * len(lowerCamelCase				)) + [1]







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None				):




      '''simple docstring'''




      _lowerCAmelCase					     =		[self.sep_token_id]

      # no bos used in fairseq
      if token_ids_a is None:
         return len(token_ids_a + sep				) * [0]
      return len(token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1]







   def 							A__						(self       ,	lowerCamelCase       ,	lowerCamelCase = None				):




      '''simple docstring'''




      if not os.path.isdir(lowerCamelCase				):
         logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
         return

      _lowerCAmelCase					     =		os.path.join(
          lowerCamelCase       ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""src_vocab_file"""]				)
      _lowerCAmelCase					     =		os.path.join(
          lowerCamelCase       ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""tgt_vocab_file"""]				)
      _lowerCAmelCase					     =		os.path.join(
          lowerCamelCase       ,	(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]				)

      with open(lowerCamelCase       ,	"""w"""       ,	encoding="""utf-8"""				) as f:
         f.write(json.dumps(self.encoder       ,	indent=2       ,	sort_keys=lowerCamelCase       ,	ensure_ascii=lowerCamelCase				) + """\n"""				)

      with open(lowerCamelCase       ,	"""w"""       ,	encoding="""utf-8"""				) as f:
         _lowerCAmelCase					     =		{v: k for k, v in self.decoder.items()}
         f.write(json.dumps(lowerCamelCase       ,	indent=2       ,	sort_keys=lowerCamelCase       ,	ensure_ascii=lowerCamelCase				) + """\n"""				)

      _lowerCAmelCase					     =		0
      with open(lowerCamelCase       ,	"""w"""       ,	encoding="""utf-8"""				) as writer:
         for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,	key=lambda lowerCamelCase				: kv[1]				):
            if index != token_index:
               logger.warning(
                   f"""Saving vocabulary to {merges_file}: BPE merge indices are not consecutive."""
                   """ Please check that the tokenizer is not corrupted!"""				)
               _lowerCAmelCase					     =		token_index
            writer.write(""" """.join(lowerCamelCase				) + """\n"""				)
            index += 1

      return src_vocab_file, tgt_vocab_file, merges_file







   def __getstate__(self				):




      '''simple docstring'''




      _lowerCAmelCase					     =		self.__dict__.copy()
      _lowerCAmelCase					     =		None
      return state







   def __setstate__(self       ,	lowerCamelCase				):




      '''simple docstring'''




      _lowerCAmelCase					     =		d

      try:
         import sacremoses
      except ImportError:
         raise ImportError(
             """You need to install sacremoses to use XLMTokenizer. """
             """See https://pypi.org/project/sacremoses/ for installation."""				)

      _lowerCAmelCase					     =		sacremoses




"""simple docstring"""





def 	__UpperCAmelCase					(       snake_case_  :  Optional[int]   ,	snake_case_  :  List[str]   )							->	Optional[int]:






   """simple docstring"""


   if n < 0:
      return 0
   # table[i] represents the number of ways to get to amount i
   _lowerCAmelCase					     =		[0] * (n + 1)

   # There is exactly 1 way to get to zero(You pick no coins).
   _lowerCAmelCase					     =		1

   # Pick all coins one by one and update table[] values
   # after the index greater than or equal to the value of the
   # picked coin
   for coin_val in s:
      for j in range(snake_case_   ,	n + 1   ):
         table[j] += table[j - coin_val]

   return table[n]


if __name__ == "__main__":
  import doctest

  doctest.testmod()