



'''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


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

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

a__						:			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'},
}

a__						:			Optional[int]										=			{'stas/tiny-wmt19-en-de': 1_0_2_4}
a__						:			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 _lowercase   (  __A       ):



 '''simple docstring'''



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







def _lowercase   (  __A       ):



 '''simple docstring'''



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







def _lowercase   (  __A       ):



 '''simple docstring'''



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






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



 def __init__(  self		,	lowercase=None		,	lowercase=None		,	lowercase=None		,	lowercase=None		,	lowercase=False		,	lowercase="<unk>"		,	lowercase="<s>"		,	lowercase="</s>"		,	lowercase="<pad>"		,	**lowercase		,	)  ->							Any:
  super().__init__(
      langs=lowercase		,	src_vocab_file=lowercase		,	tgt_vocab_file=lowercase		,	merges_file=lowercase		,	do_lower_case=lowercase		,	unk_token=lowercase		,	bos_token=lowercase		,	sep_token=lowercase		,	pad_token=lowercase		,	**lowercase		,	)

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

  __UpperCamelCase				      =  sacremoses

  __UpperCamelCase				      =  src_vocab_file
  __UpperCamelCase				      =  tgt_vocab_file
  __UpperCamelCase				      =  merges_file
  __UpperCamelCase				      =  do_lower_case

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

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



 def    __lowerCamelCase				(  self			)  ->							Dict[str, int]:
  return self.get_src_vocab()



 @property
 def    __lowerCamelCase				(  self			)  ->							int:
  return self.src_vocab_size



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase			)  ->							Dict:
  if lang not in self.cache_moses_punct_normalizer:
   __UpperCamelCase				      =  self.sm.MosesPunctNormalizer(lang=lowercase			)
   __UpperCamelCase				      =  punct_normalizer
  return self.cache_moses_punct_normalizer[lang].normalize(lowercase			)



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase			)  ->							Optional[int]:
  if lang not in self.cache_moses_tokenizer:
   __UpperCamelCase				      =  self.sm.MosesTokenizer(lang=lowercase			)
   __UpperCamelCase				      =  moses_tokenizer
  return self.cache_moses_tokenizer[lang].tokenize(
      lowercase		,	aggressive_dash_splits=lowercase		,	return_str=lowercase		,	escape=lowercase			)



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase			)  ->							Union[str, Any]:
  if lang not in self.cache_moses_detokenizer:
   __UpperCamelCase				      =  self.sm.MosesDetokenizer(lang=lowercase			)
   __UpperCamelCase				      =  moses_detokenizer
  return self.cache_moses_detokenizer[lang].detokenize(lowercase			)



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase			)  ->							List[Any]:
  __UpperCamelCase				      =  replace_unicode_punct(lowercase			)
  __UpperCamelCase				      =  self.moses_punct_norm(lowercase		,	lowercase			)
  __UpperCamelCase				      =  remove_non_printing_char(lowercase			)
  return text



 @property
 def    __lowerCamelCase				(  self			)  ->							List[str]:
  return len(self.encoder			)



 @property
 def    __lowerCamelCase				(  self			)  ->							Optional[int]:
  return len(self.decoder			)



 def    __lowerCamelCase				(  self			)  ->							Any:
  return dict(self.encoder		,	**self.added_tokens_encoder			)



 def    __lowerCamelCase				(  self			)  ->							Any:
  return dict(self.decoder		,	**self.added_tokens_decoder			)



 def    __lowerCamelCase				(  self		,	lowercase			)  ->							Dict:
  __UpperCamelCase				      =  tuple(token[:-1]			) + (token[-1] + """</w>""",)
  if token in self.cache:
   return self.cache[token]
  __UpperCamelCase				      =  get_pairs(lowercase			)

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

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

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



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase="en"		,	lowercase=False			)  ->							Optional[int]:
  __UpperCamelCase				      =  self.src_lang

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

  if bypass_tokenizer:
   __UpperCamelCase				      =  text.split()
  else:
   __UpperCamelCase				      =  self.moses_pipeline(lowercase		,	lang=lowercase			)
   __UpperCamelCase				      =  self.moses_tokenize(lowercase		,	lang=lowercase			)

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

  return split_tokens



 def    __lowerCamelCase				(  self		,	lowercase			)  ->							Any:
  return self.encoder.get(lowercase		,	self.encoder.get(self.unk_token			)			)



 def    __lowerCamelCase				(  self		,	lowercase			)  ->							str:
  return self.decoder.get(lowercase		,	self.unk_token			)



 def    __lowerCamelCase				(  self		,	lowercase			)  ->							Tuple:
  __UpperCamelCase				      =  [t.replace(""" """		,	""""""			).replace("""</w>"""		,	""" """			) for t in tokens]
  __UpperCamelCase				      =  """""".join(lowercase			).split()
  # detokenize
  __UpperCamelCase				      =  self.moses_detokenize(lowercase		,	self.tgt_lang			)
  return text



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase = None			)  ->							List[int]:
  __UpperCamelCase				      =  [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    __lowerCamelCase				(  self		,	lowercase		,	lowercase = None		,	lowercase = False			)  ->							List[int]:

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



 def    __lowerCamelCase				(  self		,	lowercase		,	lowercase = None			)  ->							List[int]:
  __UpperCamelCase				      =  [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    __lowerCamelCase				(  self		,	lowercase		,	lowercase = None			)  ->							Tuple[str]:
  if not os.path.isdir(lowercase			):
   logger.error(f"Vocabulary path ({save_directory}) should be a directory"			)
   return

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

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

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

  __UpperCamelCase				      =  0
  with open(lowercase		,	"""w"""		,	encoding="""utf-8"""			) as writer:
   for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,	key=lambda lowercase			: 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!"""			)
     __UpperCamelCase				      =  token_index
    writer.write(""" """.join(lowercase			) + """\n"""			)
    index += 1

  return src_vocab_file, tgt_vocab_file, merges_file



 def __getstate__(  self			)  ->							Union[str, Any]:
  __UpperCamelCase				      =  self.__dict__.copy()
  __UpperCamelCase				      =  None
  return state




 def __setstate__(  self		,	lowercase			)  ->							List[Any]:
  __UpperCamelCase				      =  d

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

  __UpperCamelCase				      =  sacremoses










'''simple docstring'''



import argparse

from transformers import TaConfig, TaForConditionalGeneration, load_tf_weights_in_ta
from transformers.utils import logging


logging.set_verbosity_info()







def _lowercase   (  __A							,__A							,__A       ):



 '''simple docstring'''



 __UpperCamelCase				      =  TaConfig.from_json_file(__A       )
 print(f"Building PyTorch model from configuration: {config}"       )
 __UpperCamelCase				      =  TaForConditionalGeneration(__A       )

 # Load weights from tf checkpoint
 load_tf_weights_in_ta(__A							,__A							,__A       )

 # Save pytorch-model
 print(f"Save PyTorch model to {pytorch_dump_path}"       )
 model.save_pretrained(__A       )


if __name__ == "__main__":
 a__						:			int										=			argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     '--tf_checkpoint_path', default=None, type=str, required=True, help='Path to the TensorFlow checkpoint path.'
 )
 parser.add_argument(
     '--config_file',
     default=None,
     type=str,
     required=True,
     help=(
         'The config json file corresponding to the pre-trained T5 model. \nThis specifies the model architecture.'
     ),
 )
 parser.add_argument(
     '--pytorch_dump_path', default=None, type=str, required=True, help='Path to the output PyTorch model.'
 )
 a__						:			Optional[Any]										=			parser.parse_args()
 convert_tf_checkpoint_to_pytorch(args.tf_checkpoint_path, args.config_file, args.pytorch_dump_path)





