

"""simple docstring"""




import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


__UpperCAmelCase =				logging.get_logger(__name__)

__UpperCAmelCase =				'▁'

__UpperCAmelCase =				{'vocab_file': 'sentencepiece.bpe.model', 'monolingual_vocab_file': 'dict.txt'}

__UpperCAmelCase =				{
    'vocab_file': {
        'vinai/bartpho-syllable': 'https://huggingface.co/vinai/bartpho-syllable/resolve/main/sentencepiece.bpe.model',
    },
    'monolingual_vocab_file': {
        'vinai/bartpho-syllable': 'https://huggingface.co/vinai/bartpho-syllable/resolve/main/dict.txt',
    },
}

__UpperCAmelCase =				{'vinai/bartpho-syllable': 1024}







class      __lowercase			(    __lowerCamelCase					):
  snake_case_				       =       VOCAB_FILES_NAMES
  snake_case_				       =       PRETRAINED_VOCAB_FILES_MAP
  snake_case_				       =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  snake_case_				       =       ["""input_ids""", """attention_mask"""]

  def __init__(  self		:			Any					,A		:			Union[str, Any]					,A		:			Dict					,A		:			str="<s>"					,A		:			Tuple="</s>"					,A		:			List[str]="</s>"					,A		:			Any="<s>"					,A		:			List[Any]="<unk>"					,A		:			Any="<pad>"					,A		:			Tuple="<mask>"					,A		:			Optional[Dict[str, Any]] = None					,**A		:			str					,):






   '''simple docstring'''
   UpperCAmelCase__					:  Optional[int]					   =					AddedToken(A					,lstrip=A					,rstrip=A    ) if isinstance(A					,A    ) else mask_token

   UpperCAmelCase__					:  int					   =					{} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       bos_token=A					,eos_token=A					,unk_token=A					,sep_token=A					,cls_token=A					,pad_token=A					,mask_token=A					,sp_model_kwargs=self.sp_model_kwargs					,**A					,)

   UpperCAmelCase__					:  Optional[Any]					   =					vocab_file
   UpperCAmelCase__					:  Tuple					   =					monolingual_vocab_file
   UpperCAmelCase__					:  List[Any]					   =					spm.SentencePieceProcessor(**self.sp_model_kwargs    )
   self.sp_model.Load(str(A    )    )

   # Load the reduced vocab

   # Keep order of special tokens for backward compatibility
   UpperCAmelCase__					:  List[Any]					   =					{}
   UpperCAmelCase__					:  Union[str, Any]					   =					0
   for token in [bos_token, pad_token, eos_token, unk_token, sep_token, cls_token]:
    if str(A    ) not in self.fairseq_tokens_to_ids:
     UpperCAmelCase__					:  Tuple					   =					cnt
     cnt += 1
   with open(A					,"""r"""					,encoding="""utf-8"""    ) as f:
    for line in f.readlines():
     UpperCAmelCase__					:  str					   =					line.strip().split()[0]
     UpperCAmelCase__					:  int					   =					len(self.fairseq_tokens_to_ids    )
   if str(A    ) not in self.fairseq_tokens_to_ids:
    UpperCAmelCase__					:  Optional[int]					   =					len(self.fairseq_tokens_to_ids    )

   UpperCAmelCase__					:  Tuple					   =					{v: k for k, v in self.fairseq_tokens_to_ids.items()}

  def __getstate__(  self		:			Union[str, Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  List[Any]					   =					self.__dict__.copy()
   UpperCAmelCase__					:  Union[str, Any]					   =					None
   UpperCAmelCase__					:  Optional[int]					   =					self.sp_model.serialized_model_proto()
   return state

  def __setstate__(  self		:			int					,A		:			List[Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Tuple					   =					d

   # for backward compatibility
   if not hasattr(self					,"""sp_model_kwargs"""    ):
    UpperCAmelCase__					:  Union[str, Any]					   =					{}

   UpperCAmelCase__					:  int					   =					spm.SentencePieceProcessor(**self.sp_model_kwargs    )
   self.sp_model.LoadFromSerializedProto(self.sp_model_proto    )

  def    __lowercase       (  self		:			Optional[int]					,A		:			List[int]					,A		:			Optional[List[int]] = None    ):






   '''simple docstring'''

   if token_ids_a is None:
    return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   UpperCAmelCase__					:  List[str]					   =					[self.cls_token_id]
   UpperCAmelCase__					:  str					   =					[self.sep_token_id]
   return cls + token_ids_a + sep + sep + token_ids_a + sep

  def    __lowercase       (  self		:			Optional[Any]					,A		:			List[int]					,A		:			Optional[List[int]] = None					,A		:			bool = False    ):






   '''simple docstring'''

   if already_has_special_tokens:
    return super().get_special_tokens_mask(
        token_ids_a=A					,token_ids_a=A					,already_has_special_tokens=A    )

   if token_ids_a is None:
    return [1] + ([0] * len(A    )) + [1]
   return [1] + ([0] * len(A    )) + [1, 1] + ([0] * len(A    )) + [1]

  def    __lowercase       (  self		:			List[str]					,A		:			List[int]					,A		:			Optional[List[int]] = None    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Optional[int]					   =					[self.sep_token_id]
   UpperCAmelCase__					:  str					   =					[self.cls_token_id]

   if token_ids_a is None:
    return len(cls + token_ids_a + sep    ) * [0]
   return len(cls + token_ids_a + sep + sep + token_ids_a + sep    ) * [0]

  @property
  def    __lowercase       (  self		:			Union[str, Any]    ):






   '''simple docstring'''
   return len(self.fairseq_ids_to_tokens    )

  def    __lowercase       (  self		:			Any    ):






   '''simple docstring'''
   UpperCAmelCase__					:  str					   =					{self.convert_ids_to_tokens(A    ): i for i in range(self.vocab_size    )}
   vocab.update(self.added_tokens_encoder    )
   return vocab

  def    __lowercase       (  self		:			str					,A		:			str    ):






   '''simple docstring'''
   return self.sp_model.encode(A					,out_type=A    )

  def    __lowercase       (  self		:			str					,A		:			str    ):






   '''simple docstring'''
   if token in self.fairseq_tokens_to_ids:
    return self.fairseq_tokens_to_ids[token]
   else:
    return self.unk_token_id

  def    __lowercase       (  self		:			str					,A		:			Tuple    ):






   '''simple docstring'''
   return self.fairseq_ids_to_tokens[index]

  def    __lowercase       (  self		:			Optional[int]					,A		:			Union[str, Any]    ):






   '''simple docstring'''
   UpperCAmelCase__					:  Dict					   =					"""""".join(A    ).replace(A					,""" """    ).strip()
   return out_string




  def    __lowercase       (  self		:			int					,A		:			str					,A		:			Optional[str] = None    ):






   '''simple docstring'''
   if not os.path.isdir(A    ):
    logger.error(f"Vocabulary path ({save_directory}) should be a directory"    )
    return
   UpperCAmelCase__					:  Optional[int]					   =					os.path.join(
       A					,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]    )
   UpperCAmelCase__					:  List[Any]					   =					os.path.join(
       A					,(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""monolingual_vocab_file"""]					,)

   if os.path.abspath(self.vocab_file    ) != os.path.abspath(A    ) and os.path.isfile(self.vocab_file    ):
    copyfile(self.vocab_file					,A    )
   elif not os.path.isfile(self.vocab_file    ):
    with open(A					,"""wb"""    ) as fi:
     UpperCAmelCase__					:  Optional[int]					   =					self.sp_model.serialized_model_proto()
     fi.write(A    )

   if os.path.abspath(self.monolingual_vocab_file    ) != os.path.abspath(
       A    ) and os.path.isfile(self.monolingual_vocab_file    ):
    copyfile(self.monolingual_vocab_file					,A    )
   elif not os.path.isfile(self.monolingual_vocab_file    ):
    with open(A					,"""w"""					,encoding="""utf-8"""    ) as fp:
     for token in self.fairseq_tokens_to_ids:
      if token not in self.all_special_tokens:
       fp.write(f"{str(A    )} \n"    )

   return out_vocab_file, out_monolingual_vocab_file








"""simple docstring"""




import argparse
import os
import re

import packaging.version


__UpperCAmelCase =				'examples/'
__UpperCAmelCase =				{
    'examples': (re.compile(r'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(r'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(r'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), r'\1version="VERSION",'),
    'doc': (re.compile(r'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
__UpperCAmelCase =				{
    'init': 'src/transformers/__init__.py',
    'setup': 'setup.py',
}
__UpperCAmelCase =				'README.md'
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 with open(__UpperCamelCase							,    """r"""							,    encoding="""utf-8"""							,    newline="""\n"""      ) as f:
  UpperCAmelCase__					:  Dict					   =					f.read()
 UpperCAmelCase__   ,      UpperCAmelCase__					:  Any					   =					REPLACE_PATTERNS[pattern]
 UpperCAmelCase__					:  List[str]					   =					replace.replace("""VERSION"""							,    __UpperCamelCase      )
 UpperCAmelCase__					:  Tuple					   =					re_pattern.sub(__UpperCamelCase							,    __UpperCamelCase      )
 with open(__UpperCamelCase							,    """w"""							,    encoding="""utf-8"""							,    newline="""\n"""      ) as f:
  f.write(__UpperCamelCase      )
def   lowerCAmelCase						(					__UpperCamelCase      ):
 '''simple docstring'''





 for folder, directories, fnames in os.walk(__UpperCamelCase      ):
  # Removing some of the folders with non-actively maintained examples from the walk
  if "research_projects" in directories:
   directories.remove("""research_projects"""      )
  if "legacy" in directories:
   directories.remove("""legacy"""      )
  for fname in fnames:
   if fname.endswith(""".py"""      ):
    update_version_in_file(os.path.join(__UpperCamelCase							,    __UpperCamelCase      )							,    __UpperCamelCase							,    pattern="""examples"""      )
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase=False      ):
 '''simple docstring'''





 for pattern, fname in REPLACE_FILES.items():
  update_version_in_file(__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      )
 if not patch:
  update_version_in_examples(__UpperCamelCase      )
def   lowerCAmelCase						(					):
 '''simple docstring'''





 UpperCAmelCase__					:  Dict					   =					"""🤗 Transformers currently provides the following architectures"""
 UpperCAmelCase__					:  Union[str, Any]					   =					"""1. Want to contribute a new model?"""
 with open(__UpperCamelCase							,    """r"""							,    encoding="""utf-8"""							,    newline="""\n"""      ) as f:
  UpperCAmelCase__					:  str					   =					f.readlines()

 # Find the start of the list.
 UpperCAmelCase__					:  List[Any]					   =					0
 while not lines[start_index].startswith(_start_prompt      ):
  start_index += 1
 start_index += 1

 UpperCAmelCase__					:  int					   =					start_index
 # Update the lines in the model list.
 while not lines[index].startswith(_end_prompt      ):
  if lines[index].startswith("""1."""      ):
   UpperCAmelCase__					:  List[Any]					   =					lines[index].replace(
       """https://huggingface.co/docs/transformers/main/model_doc"""							,    """https://huggingface.co/docs/transformers/model_doc"""							,    )
  index += 1

 with open(__UpperCamelCase							,    """w"""							,    encoding="""utf-8"""							,    newline="""\n"""      ) as f:
  f.writelines(__UpperCamelCase      )
def   lowerCAmelCase						(					):
 '''simple docstring'''





 with open(REPLACE_FILES["""init"""]							,    """r"""      ) as f:
  UpperCAmelCase__					:  Optional[Any]					   =					f.read()
 UpperCAmelCase__					:  int					   =					REPLACE_PATTERNS["""init"""][0].search(__UpperCamelCase      ).groups()[0]
 return packaging.version.parse(__UpperCamelCase      )
def   lowerCAmelCase						(					__UpperCamelCase=False      ):
 '''simple docstring'''





 UpperCAmelCase__					:  List[str]					   =					get_version()
 if patch and default_version.is_devrelease:
  raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!"""      )
 if default_version.is_devrelease:
  UpperCAmelCase__					:  List[str]					   =					default_version.base_version
 elif patch:
  UpperCAmelCase__					:  Any					   =					F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
 else:
  UpperCAmelCase__					:  Optional[Any]					   =					F"{default_version.major}.{default_version.minor + 1}.0"

 # Now let's ask nicely if that's the right one.
 UpperCAmelCase__					:  Optional[int]					   =					input(F"Which version are you releasing? [{default_version}]"      )
 if len(__UpperCamelCase      ) == 0:
  UpperCAmelCase__					:  Union[str, Any]					   =					default_version

 print(F"Updating version to {version}."      )
 global_version_update(__UpperCamelCase							,    patch=__UpperCamelCase      )
 if not patch:
  print("""Cleaning main README, don't forget to run `make fix-copies`."""      )
  clean_main_ref_in_model_list()
def   lowerCAmelCase						(					):
 '''simple docstring'''





 UpperCAmelCase__					:  Optional[Any]					   =					get_version()
 UpperCAmelCase__					:  Any					   =					F"{current_version.major}.{current_version.minor + 1}.0.dev0"
 UpperCAmelCase__					:  List[Any]					   =					current_version.base_version

 # Check with the user we got that right.
 UpperCAmelCase__					:  Dict					   =					input(F"Which version are we developing now? [{dev_version}]"      )
 if len(__UpperCamelCase      ) == 0:
  UpperCAmelCase__					:  List[Any]					   =					dev_version

 print(F"Updating version to {version}."      )
 global_version_update(__UpperCamelCase      )
 print("""Cleaning main README, don't forget to run `make fix-copies`."""      )
 clean_main_ref_in_model_list()


if __name__ == "__main__":
      __UpperCAmelCase =				argparse.ArgumentParser()
      parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
      parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
      __UpperCAmelCase =				parser.parse_args()
      if not args.post_release:
            pre_release_work(patch=args.patch)
      elif args.patch:
            print('Nothing to do after a patch :-)')
      else:
            post_release_work()





