





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_barthez import BarthezTokenizer
else:
     _snake_case    :       List[str]		       =    None

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

_snake_case    :       List[Any]		       =    {'vocab_file': 'sentencepiece.bpe.model', 'tokenizer_file': 'tokenizer.json'}

_snake_case    :       int		       =    {
    'vocab_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model'
        ),
    },
    'tokenizer_file': {
        'moussaKam/mbarthez': 'https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json',
        'moussaKam/barthez': 'https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json',
        'moussaKam/barthez-orangesum-title': (
            'https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json'
        ),
    },
}

_snake_case    :       List[str]		       =    {
    'moussaKam/mbarthez': 1024,
    'moussaKam/barthez': 1024,
    'moussaKam/barthez-orangesum-title': 1024,
}

_snake_case    :       str		       =    '▁'



class 							_UpperCAmelCase       (       _UpperCamelCase       ):

  """simple docstring"""


  a_              =					VOCAB_FILES_NAMES
  a_              =					PRETRAINED_VOCAB_FILES_MAP
  a_              =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  a_              =					["""input_ids""", """attention_mask"""]
  a_              =					BarthezTokenizer






  def __init__(							self					:						Any   ,    lowerCAmelCase_					:						Any=None   ,    lowerCAmelCase_					:						Any=None   ,    lowerCAmelCase_					:						List[str]="<s>"   ,    lowerCAmelCase_					:						str="</s>"   ,    lowerCAmelCase_					:						Union[str, Any]="</s>"   ,    lowerCAmelCase_					:						Dict="<s>"   ,    lowerCAmelCase_					:						int="<unk>"   ,    lowerCAmelCase_					:						Any="<pad>"   ,    lowerCAmelCase_					:						int="<mask>"   ,    **lowerCAmelCase_					:						Union[str, Any]   ,    )				->		Optional[Any]:
     # Mask token behave like a normal word, i.e. include the space before it
     __lowerCAmelCase				      =      AddedToken(lowerCAmelCase_   ,    lstrip=lowerCAmelCase_   ,    rstrip=lowerCAmelCase_	) if isinstance(lowerCAmelCase_   ,    lowerCAmelCase_	) else mask_token

     super().__init__(
         lowerCAmelCase_   ,    tokenizer_file=lowerCAmelCase_   ,    bos_token=lowerCAmelCase_   ,    eos_token=lowerCAmelCase_   ,    unk_token=lowerCAmelCase_   ,    sep_token=lowerCAmelCase_   ,    cls_token=lowerCAmelCase_   ,    pad_token=lowerCAmelCase_   ,    mask_token=lowerCAmelCase_   ,    **lowerCAmelCase_   ,    )

     __lowerCAmelCase				      =      vocab_file
     __lowerCAmelCase				      =      False if not self.vocab_file else True






  def 							lowercase						(							self					:						Optional[int]   ,    lowerCAmelCase_					:						List[int]   ,    lowerCAmelCase_					:						Optional[List[int]] = None	)				->		List[int]:

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






  def 							lowercase						(							self					:						Tuple   ,    lowerCAmelCase_					:						List[int]   ,    lowerCAmelCase_					:						Optional[List[int]] = None	)				->		List[int]:
     __lowerCAmelCase				      =      [self.sep_token_id]
     __lowerCAmelCase				      =      [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]






  def 							lowercase						(							self					:						List[str]   ,    lowerCAmelCase_					:						str   ,    lowerCAmelCase_					:						Optional[str] = None	)				->		Tuple[str]:
     if not self.can_save_slow_tokenizer:
        raise ValueError(
            'Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '
            'tokenizer.'	)

     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['vocab_file']	)

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

     return (out_vocab_file,)



"""simple docstring"""




from __future__ import annotations



def 							_lowerCamelCase			(			__a,				__a = None     ):
		SCREAMING_SNAKE_CASE_    			=			word_bank or []
		# create a table
		SCREAMING_SNAKE_CASE_    			=			len(__a     ) + 1

		SCREAMING_SNAKE_CASE_    			=			[]
		for _ in range(__a     ):
				table.append([]     )
		# seed value
		SCREAMING_SNAKE_CASE_    			=			[[]]  # because empty string has empty combination

		# iterate through the indices
		for i in range(__a     ):
				# condition
				if table[i] != []:
						for word in word_bank:
								# slice condition
								if target[i : i + len(__a     )] == word:
										SCREAMING_SNAKE_CASE_    			=			[
										    [word, *way] for way in table[i]
										]
										# adds the word to every combination the current position holds
										# now,push that combination to the table[i+len(word)]
										table[i + len(__a     )] += new_combinations

    # combinations are in reverse order so reverse for better output
		for combination in table[len(__a     )]:
				combination.reverse()

		return table[len(__a     )]


if __name__ == "__main__":
						print(all_construct('jwajalapa', ['jwa', 'j', 'w', 'a', 'la', 'lapa']))
						print(all_construct('rajamati', ['s', 'raj', 'amat', 'raja', 'ma', 'i', 't']))
						print(
						    all_construct(
						        'hexagonosaurus',
						        ['h', 'ex', 'hex', 'ag', 'ago', 'ru', 'auru', 'rus', 'go', 'no', 'o', 's'],
						    )
						)