


"""simple docstring"""



import argparse
from collections import defaultdict

import yaml


__snake_case   			=    """docs/source/en/_toctree.yml"""







def   __lowerCAmelCase						(						lowercase  :  Any )	->						Tuple:


    """simple docstring"""





    snake_case    :      Tuple      					=    defaultdict(lowercase )
    for doc in model_doc:
        counts[doc["local"]] += 1
    snake_case    :      str      					=    [key for key, value in counts.items() if value > 1]

    snake_case    :      Optional[int]      					=    []
    for duplicate_key in duplicates:
        snake_case    :      Union[str, Any]      					=    list({doc["title"] for doc in model_doc if doc["local"] == duplicate_key} )
        if len(lowercase ) > 1:
            raise ValueError(
                F'{duplicate_key} is present several times in the documentation table of content at '
                "`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the "
                "others." )
        # Only add this once
        new_doc.append({"local": duplicate_key, "title": titles[0]} )

    # Add none duplicate-keys
    new_doc.extend([doc for doc in model_doc if counts[doc["local"]] == 1] )

    # Sort
    return sorted(lowercase						,							key=lambda lowercase : s["title"].lower() )







def   __lowerCAmelCase						(						lowercase  :  Optional[int]=False )	->						str:


    """simple docstring"""





    with open(lowercase						,							encoding="utf-8" ) as f:
        snake_case    :      List[str]      					=    yaml.safe_load(f.read() )

    # Get to the API doc
    snake_case    :      Any      					=    0
    while content[api_idx]["title"] != "API":
        api_idx += 1
    snake_case    :      Optional[Any]      					=    content[api_idx]["sections"]

    # Then to the model doc
    snake_case    :      int      					=    0
    while api_doc[model_idx]["title"] != "Models":
        model_idx += 1

    snake_case    :      List[str]      					=    api_doc[model_idx]["sections"]

    snake_case    :      List[Any]      					=    [(idx, section) for idx, section in enumerate(lowercase ) if "sections" in section]
    snake_case    :      Optional[Any]      					=    False
    for idx, modality_doc in modalities_docs:
        snake_case    :      Tuple      					=    modality_doc["sections"]
        snake_case    :      List[str]      					=    clean_model_doc_toc(lowercase )

        if old_modality_doc != new_modality_doc:
            snake_case    :      Optional[int]      					=    True
            if overwrite:
                snake_case    :      List[str]      					=    new_modality_doc

    if diff:
        if overwrite:
            snake_case    :      int      					=    model_doc
            snake_case    :      Dict      					=    api_doc
            with open(lowercase						,							"w"						,							encoding="utf-8" ) as f:
                f.write(yaml.dump(lowercase						,							allow_unicode=lowercase ) )
        else:
            raise ValueError(
                "The model doc part of the table of content is not properly sorted, run `make style` to fix this." )


if __name__ == "__main__":
  __snake_case   			=    argparse.ArgumentParser()
  parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
  __snake_case   			=    parser.parse_args()

  check_model_doc(args.fix_and_overwrite)









"""simple docstring"""



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

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
  from .tokenization_rembert import RemBertTokenizer
else:
  __snake_case   			=    None

__snake_case   			=    logging.get_logger(__name__)
__snake_case   			=    {"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

__snake_case   			=    {
    """vocab_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/sentencepiece.model""",
    },
    """tokenizer_file""": {
        """google/rembert""": """https://huggingface.co/google/rembert/resolve/main/tokenizer.json""",
    },
}

__snake_case   			=    {
    """google/rembert""": 256,
}

__snake_case   			=    """▁"""







class _lowerCAmelCase				(      snake_case_	):
   __UpperCAmelCase :       List[str]							  =  VOCAB_FILES_NAMES
   __UpperCAmelCase :       Union[str, Any]							  =  PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase :       str							  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase :       str							  =  RemBertTokenizer







   def __init__(	self						,	UpperCamelCase__=None						,	UpperCamelCase__=None						,	UpperCamelCase__=True						,	UpperCamelCase__=True						,	UpperCamelCase__=False						,	UpperCamelCase__="[CLS]"						,	UpperCamelCase__="[SEP]"						,	UpperCamelCase__="<unk>"						,	UpperCamelCase__="[SEP]"						,	UpperCamelCase__="<pad>"						,	UpperCamelCase__="[CLS]"						,	UpperCamelCase__="[MASK]"						,	**UpperCamelCase__						,	)	->		Tuple:

       '''simple docstring'''




       snake_case    :      Dict      					=    AddedToken(UpperCamelCase__						,	lstrip=UpperCamelCase__						,	rstrip=UpperCamelCase__						) if isinstance(UpperCamelCase__						,	UpperCamelCase__						) else mask_token

       super().__init__(
           UpperCamelCase__						,	tokenizer_file=UpperCamelCase__						,	do_lower_case=UpperCamelCase__						,	remove_space=UpperCamelCase__						,	keep_accents=UpperCamelCase__						,	bos_token=UpperCamelCase__						,	eos_token=UpperCamelCase__						,	unk_token=UpperCamelCase__						,	sep_token=UpperCamelCase__						,	pad_token=UpperCamelCase__						,	cls_token=UpperCamelCase__						,	mask_token=UpperCamelCase__						,	**UpperCamelCase__						,	)

       snake_case    :      int      					=    do_lower_case
       snake_case    :      Union[str, Any]      					=    remove_space
       snake_case    :      Optional[int]      					=    keep_accents
       snake_case    :      Any      					=    vocab_file
       snake_case    :      Any      					=    False if not self.vocab_file else True







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__ = None						)	->		List[int]:

       '''simple docstring'''




       snake_case    :      Optional[Any]      					=    [self.sep_token_id]
       snake_case    :      Optional[int]      					=    [self.cls_token_id]
       if token_ids_a is None:
           return cls + token_ids_a + sep
       return cls + token_ids_a + sep + token_ids_a + sep







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__ = None						,	UpperCamelCase__ = False						)	->		List[int]:

       '''simple docstring'''




       if already_has_special_tokens:
           if token_ids_a is not None:
               raise ValueError(
                   "You should not supply a second sequence if the provided sequence of "
                   "ids is already formatted with special tokens for the model."						)
           return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

       if token_ids_a is not None:
           return [1] + ([0] * len(UpperCamelCase__						)) + [1] + ([0] * len(UpperCamelCase__						)) + [1]
       return [1] + ([0] * len(UpperCamelCase__						)) + [1]







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__ = None						)	->		List[int]:

       '''simple docstring'''




       snake_case    :      Union[str, Any]      					=    [self.sep_token_id]
       snake_case    :      Optional[int]      					=    [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						) * [0] + len(token_ids_a + sep						) * [1]







   def  lowerCamelCase		(	self						,	UpperCamelCase__						,	UpperCamelCase__ = None						)	->		Tuple[str]:

       '''simple docstring'''




       if not os.path.isdir(UpperCamelCase__						):
           logger.error("Vocabulary path ({}) should be a directory".format(UpperCamelCase__						)						)
           return
       snake_case    :      str      					=    os.path.join(
           UpperCamelCase__						,	(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]						)

       if os.path.abspath(self.vocab_file						) != os.path.abspath(UpperCamelCase__						):
           copyfile(self.vocab_file						,	UpperCamelCase__						)

       return (out_vocab_file,)





