


'''simple docstring'''

import argparse
from collections import defaultdict

import yaml


lowerCamelCase							:   Optional[Any]  						=	'docs/source/en/_toctree.yml'

def _SCREAMING_SNAKE_CASE      (A       )       ->       List[Any]:






       """simple docstring"""







       lowercase__      			= defaultdict(A       )
       for doc in model_doc:
              counts[doc["local"]] += 1
       lowercase__      			= [key for key, value in counts.items() if value > 1]

       lowercase__      			= []
       for duplicate_key in duplicates:
              lowercase__      			= list({doc['''title'''] for doc in model_doc if doc['''local'''] == duplicate_key}       )
              if len(A       ) > 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(A  , key=lambda A       : s["title"].lower()       )

def _SCREAMING_SNAKE_CASE      (A=False       )       ->       Optional[Any]:






       """simple docstring"""







       with open(A  , encoding='''utf-8'''       ) as f:
              lowercase__      			= yaml.safe_load(f.read()       )

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

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

       lowercase__      			= api_doc[model_idx]['''sections''']

       lowercase__      			= [(idx, section) for idx, section in enumerate(A       ) if '''sections''' in section]
       lowercase__      			= False
       for idx, modality_doc in modalities_docs:
              lowercase__      			= modality_doc['''sections''']
              lowercase__      			= clean_model_doc_toc(A       )

              if old_modality_doc != new_modality_doc:
                     lowercase__      			= True
                     if overwrite:
                            lowercase__      			= new_modality_doc

       if diff:
              if overwrite:
                     lowercase__      			= model_doc
                     lowercase__      			= api_doc
                     with open(A  , '''w'''  , encoding='''utf-8'''       ) as f:
                            f.write(yaml.dump(A  , allow_unicode=A       )       )
              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__":
 lowerCamelCase							:   Dict  						=	argparse.ArgumentParser()
 parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
 lowerCamelCase							:   Optional[Any]  						=	parser.parse_args()

 check_model_doc(args.fix_and_overwrite)











"""simple docstring"""




from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_herbert import HerbertTokenizer


a						: List[str]     	=			logging.get_logger(__name__)

a						: List[Any]     	=			{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

a						: str     	=			{
    '''vocab_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/vocab.json'''
    },
    '''merges_file''': {
        '''allegro/herbert-base-cased''': '''https://huggingface.co/allegro/herbert-base-cased/resolve/main/merges.txt'''
    },
}

a						: Tuple     	=			{'''allegro/herbert-base-cased''': 514}
a						: Optional[int]     	=			{}


class        __UpperCamelCase				(						a__						):
							lowerCamelCase   :					str      					=VOCAB_FILES_NAMES
							lowerCamelCase   :					Dict      					=PRETRAINED_VOCAB_FILES_MAP
							lowerCamelCase   :					Dict      					=PRETRAINED_INIT_CONFIGURATION
							lowerCamelCase   :					int      					=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowerCamelCase   :					Optional[Any]      					=HerbertTokenizer






							def __init__(   self      ,					lowerCAmelCase__=None      ,					lowerCAmelCase__=None      ,					lowerCAmelCase__=None      ,					lowerCAmelCase__="<s>"      ,					lowerCAmelCase__="<unk>"      ,					lowerCAmelCase__="<pad>"      ,					lowerCAmelCase__="<mask>"      ,					lowerCAmelCase__="</s>"      ,					**lowerCAmelCase__      ,					)	-> Optional[int]:
								super().__init__(
								    lowerCAmelCase__      ,					lowerCAmelCase__      ,					tokenizer_file=lowerCAmelCase__      ,					cls_token=lowerCAmelCase__      ,					unk_token=lowerCAmelCase__      ,					pad_token=lowerCAmelCase__      ,					mask_token=lowerCAmelCase__      ,					sep_token=lowerCAmelCase__      ,					**lowerCAmelCase__      ,					)






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      )	-> List[int]:
								a      :		Optional[Any]	=				[self.cls_token_id]
								a      :		Any	=				[self.sep_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     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      ,					lowerCAmelCase__ = False      )	-> List[int]:
								if already_has_special_tokens:
									return super().get_special_tokens_mask(
									    token_ids_a=lowerCAmelCase__      ,					token_ids_a=lowerCAmelCase__      ,					already_has_special_tokens=lowerCAmelCase__      )

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






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      )	-> List[int]:
								a      :		Dict	=				[self.sep_token_id]
								a      :		Tuple	=				[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     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__ = None      )	-> Tuple[str]:
								a      :		List[str]	=				self._tokenizer.model.save(lowerCAmelCase__      ,					name=lowerCAmelCase__      )
								return tuple(lowerCAmelCase__      )


